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38 Commits

Author SHA1 Message Date
Patrick Plate 1859ccd1d6 chore(homelab): add homelab plans, frpc deploy script, odysseus workspace, heretic docs 2026-06-11 09:02:19 +02:00
Patrick Plate 17d14aae09 docs(cannamanage): update wiki pages and sprint plans + brand pipeline doc 2026-06-11 09:02:14 +02:00
Patrick Plate bf721c1379 feat(mcp): update bigmind/mcp-image-gen/webscraper servers; add image-gen batch scripts 2026-06-11 09:02:09 +02:00
Patrick Plate 0cb94122bf chore(roo): add pic-gen mode rules, update mcp.json and new-mcp-server skill 2026-06-11 09:01:58 +02:00
Patrick Plate 5692854ec4 fix(roo): merge anti-loop guardrails 2026-04-10 23:27:35 +02:00
Patrick Plate 9453aecf0b fix(roo): add anti-loop guardrails to prevent autonomous session resumption
- Add Rule 9 (Anti-Loop Guardrail) to 01-bigmind-core.md: detect 2+ identical
  partial sessions and surface the loop to user instead of auto-resuming
- Add partial=history clause to Rule 1: partial/blocked/abandoned outcomes are
  historical records only, never task queue items
- Add focus guard to memory_announce_focus: must reflect current user message,
  not prior session outcome; use 'Awaiting user task assignment' if no task yet
- Add .roo/rules/06-anti-loop.md: global injection for ALL modes overriding
  any mode-specific 'do the task immediately' behavior
- Add mode interaction safety clause to 00-identity.md: session ritual does not
  authorize beginning any task — only explicit user message does

Root cause: pic-gen 'do the task' personality + BigMind context inference
produced 6 identical partial branding sessions in a loop.
2026-04-10 23:27:32 +02:00
Patrick Plate 1d1e70776f docs(plans): add heretic encoder swap task for FLUX.2 Klein uncensored generation 2026-04-10 20:32:05 +02:00
Patrick Plate 1d8849cb41 fix(mcp-image-gen): confirmed working FLUX.2 Klein encoder filename
- CLIPLoader clip_name: qwen_3_4b_klein.safetensors (from Comfy-Org/vae-text-encorder-for-flux-klein-4b)
- VAE: flux2-vae.safetensors (321MB, same repo)
- Live test confirmed: 2.1MB photorealistic 1024x1024 PNG in 52.43s on RX 7900 XTX
- Test: assert clip_name == qwen_3_4b_klein.safetensors
- 37/37 tests pass
2026-04-10 20:29:18 +02:00
Patrick Plate 40c91edf2f fix(mcp-image-gen): merge CFGGuider workflow fix for FLUX.2 Klein 4B 2026-04-10 20:21:16 +02:00
Patrick Plate 4a99a3625a fix(mcp-image-gen): rewrite flux2_klein_heretic workflow with CFGGuider + correct node types
- Replace FluxDisableGuidance+BasicGuider chain with CFGGuider (cfg=5)
- CLIPLoader: add device='default', keep type='flux2'
- UNETLoader: weight_dtype='default' (not fp8_e4m3fn — avoids dimension mismatch)
- VAEDecode/SaveImage: updated node IDs (11→VAEDecode, 12→SaveImage)
- Encoder: qwen_3_4b_bfl.safetensors (7.5GB BFL-merged shards)
- Tests: update heretic model assertions for new node structure (37/37 pass)
- Add RECAP doc with root cause analysis and session history
2026-04-10 20:21:12 +02:00
Patrick Plate 38d26adb1f Merge branch 'fix/mcp-image-gen/heretic-flux2-bugfixes' 2026-04-10 19:21:51 +02:00
Patrick Plate ea0c5d39c4 fix(mcp-image-gen): fix Heretic/FLUX2 integration bugs
- Fix syntax error in server.py (dangling docstring lines)
- Correct model filename: flux-2-klein-4b.safetensors (without -fp8)
- Fix _WORKFLOW_REGISTRY key to match actual downloaded filename
- Update get_models() to always include registry models as fallback
- Fix test expectations to match corrected model names
- All 37 tests passing
2026-04-10 19:21:51 +02:00
Patrick Plate 8f24168dcd fix(bigmind): fix FTS sync in delete_chunks_before — use rowid DELETE not rebuild
conversation_chunks_fts is a standalone FTS5 table (no content= option).
The old INSERT ... VALUES('rebuild') is a no-op on standalone tables and
left deleted chunks searchable in the FTS shadow tables.

Fix: collect IDs before deletion, explicitly DELETE FROM conversation_chunks_fts
WHERE rowid IN (...) before removing from the main table. This keeps FTS
in sync after every vacuum call.

Tests: 303/303 passing. Vacuum tests now pass for the right reason.
2026-04-07 23:41:13 +02:00
Patrick Plate cda8946c75 docs(cannamanage): add CannaManage wiki pages and mockup images
- 11 wiki pages: CannaManage-Home + 01-10 covering full Phase 0 docs
- 5 mockup images in docs/wiki/images/
- Updated _Sidebar.md with CannaManage section
2026-04-06 11:21:35 +02:00
Patrick Plate 97ccafc0d7 Merge branch 'docs/cannamanage/phase0-docs' 2026-04-06 11:07:44 +02:00
Patrick Plate c25a97c37b docs(cannamanage): add complete Phase 0 documentation suite
- 01-PROJECT-CHARTER.md: project charter with Gantt chart and risk register
- 02-USER-STORIES.md: 25 user stories with MoSCoW priorities and ACs
- 03-ARCHITECTURE.md: system architecture, ERD (8 entities), multi-tenancy design
- 04-FLOWCHARTS.md: 5 business logic flow charts (distribution, recall, etc)
- 05-API-SPEC.md: REST API spec (7 controllers, 30+ endpoints)
- 06-WIREFRAMES.md: 6 screen wireframes with AI-generated mockup images
- 07-CODING-STANDARDS.md: Java 21 standards, Git strategy, compliance rules
- 08-TEST-PLAN.md: 26 test cases, JaCoCo coverage gates
- 09-DEPLOYMENT-GUIDE.md: Hetzner Docker Compose + Gitea CI/CD pipeline
- README.md + CHANGELOG.md + 10-RETROSPECTIVE.md
- 5 AI-generated UI mockup images (Flux Schnell/ComfyUI)
2026-04-06 11:07:35 +02:00
Patrick Plate a72a2efceb feat(mcp-image-gen): merge ComfyUI auto-start health check + systemd service 2026-04-06 10:43:44 +02:00
Patrick Plate c662a5237b feat(mcp-image-gen): add ComfyUI auto-start health check + systemd service
Option A: Add lifespan context manager to server.py
- _ping_comfyui(): async health check against /system_stats
- check_and_start_comfyui(): ping on startup; if down, launches ComfyUI
  via subprocess.Popen from COMFYUI_DIR (.venv/bin/python main.py)
  with HSA_OVERRIDE_GFX_VERSION=11.0.0 injected for AMD ROCm
- Polls up to 30s for readiness after auto-start
- New env var: COMFYUI_DIR (default ~/ComfyUI)
- FastMCP lifespan= wired in; 34/34 tests still passing

Option B: Add comfyui.service systemd user service file
- Install: cp mcp/mcp-image-gen/comfyui.service ~/.config/systemd/user/
- Enable: systemctl --user enable --now comfyui
- Sets HSA_OVERRIDE_GFX_VERSION=11.0.0, WorkingDirectory=%h/ComfyUI
- Restart=on-failure, logs via journald

docs: Update mcp-image-gen-ComfyUI-Setup.md
- New Step 4: systemd service install + linger instructions
- Step 5: manual start (moved from old Step 4)
- Step 6/7 renumbered; COMFYUI_DIR env var documented
- Architecture diagram added; troubleshooting rows updated
2026-04-06 10:43:36 +02:00
Patrick Plate 0ff3f20589 feat(mcp-image-gen): merge name and count params into main 2026-04-06 07:45:45 +02:00
Patrick Plate 79f1e6d65f feat(mcp-image-gen): add name and count params to generate_image
- Add name (str) param: filename prefix saved as {name}_{timestamp}_{seed}.png
- Add count (int, 1-10) param: generate N images in one call
- Extract _sanitize_name() helper: strips special chars, collapses underscores, caps at 64 chars
- Extract _build_filename() helper: pure function for testable filename construction
- Extract _generate_single() coroutine: clean loop body for batch generation
- Fixed seed batches increment seed per image (seed+i-1) for deterministic variation
- random seed (-1) batches give independent random seeds per image
- Partial batch failures continue (error TextContent in slot, remaining images proceed)
- Returns flat interleaved [Text1, Image1, Text2, Image2, ...] list
- 34/34 tests passing (was 19, added 15 new tests)
2026-04-06 07:45:37 +02:00
Patrick Plate 79a2e1d10a Merge branch 'feat/roo/ollama-backed-modes' 2026-04-05 10:27:37 +02:00
Patrick Plate 78de59243c feat(roo): add Ollama-backed doc-writer and ask-lite modes 2026-04-05 10:27:26 +02:00
Patrick Plate db8505fef1 merge: docs/wiki/promote-webscraper-search-hint → main 2026-04-05 10:11:37 +02:00
Patrick Plate 4107b8ede2 docs: promote webscraper_search_hint in wiki and mode rules 2026-04-05 10:11:33 +02:00
Patrick Plate 4202094f01 merge: fix/webscraper/search-hint-quality → main 2026-04-05 09:57:47 +02:00
Patrick Plate 62c3b67e66 fix(mcp-webscraper): improve search_hint quality — quote_plus, richer hint, dedup, result_count
- Use urllib.parse.quote_plus instead of str.replace(' ', '+') for correct
  URL encoding of special chars (&, %, +, #, =)
- Add search_url field to return dict so caller can verify/debug the query
- Add result_count field for quick summary without len(results)
- Deduplicate results by URL via seen_urls set
- Filter cards with both empty title AND empty snippet
- Richer hint string: 'Title (url): snippet[:120]' pipe-separated
- Max-results guard now breaks early (no over-fetching)
- 5 new tests (23→28): URL encoding, result_count, dedup, empty filter, hint format
2026-04-05 09:57:43 +02:00
Patrick Plate c2dd262727 chore(roo): document git-based wiki workflow in rules, skill, and README 2026-04-05 09:53:08 +02:00
Patrick Plate 9c2422d0a7 chore(roo): document git-based wiki workflow in rules, skill, and README
- mcp-builder rules: add wiki/ to structure diagram, add Wiki Update
  Workflow section (MANDATORY), update After Building a Server checklist
- gitea-push skill: add wiki deploy as a valid use case
- README.md: add wiki section with deploy_wiki.sh pointer, add
  mcp-image-gen to MCP servers table
2026-04-05 09:53:05 +02:00
Patrick Plate 9a8403ad57 docs(wiki): migrate to git-based workflow with persistent wiki/ clone 2026-04-05 09:48:22 +02:00
Patrick Plate dabdda167f docs(wiki): migrate to git-based workflow with persistent wiki/ clone
- Extract all wiki content from create_wiki_pages.py into docs/wiki/pages/*.md
- Add docs/wiki/deploy_wiki.sh: copies pages to wiki/ repo, commits, pushes
- Add /wiki/ to .gitignore (anchored — does not affect docs/wiki/)
- 12 pages: Home, MCP-Servers-Overview, mcp-image-gen, ComfyUI-Setup,
  mcp-webscraper (8 tools incl. search_hint), BigMind (schema v8),
  Development-Conventions, Java-Projects, Java-wellmann-shop,
  Java-mss-failsafe, Java-Architecture, _Sidebar
- Workflow: edit docs/wiki/pages/*.md → ./docs/wiki/deploy_wiki.sh
2026-04-05 09:48:19 +02:00
Patrick Plate da90781cad Merge feat/webscraper/brave-search-hint into main 2026-04-05 09:37:38 +02:00
Patrick Plate 2ab847f51d feat(webscraper): add Brave Search hint tool and User-Agent header
- Add webscraper_search_hint() tool using Brave Search as backend
  (no CAPTCHA/GDPR consent wall, works with plain httpx)
- Add User-Agent header to _fetch_page() — fixes 403 on Wikipedia,
  Feynman Lectures, and other sites that block headless requests
- Add 5 new tests for search hint (23 total, 90% coverage)

Brave Search URL: https://search.brave.com/search?q={query}&source=web
Use sparingly — once per research task as orientation, not in loops
2026-04-05 09:37:30 +02:00
Patrick Plate d5510f590e Added new picture for bigmind page 2026-04-04 20:03:59 +02:00
Patrick Plate cf102e8b3e fix(bigmind): render achievement card background images via inline style 2026-04-04 19:29:15 +02:00
Patrick Plate 13659fd414 fix(bigmind): add background-image inline style to achievement card ach-image divs
The .ach-image div had correct CSS dimensions (64x64) and background-size:cover
but was missing the inline style="background-image: url(...)" — so the div
rendered as an empty circle. Fixed by extracting img_url variable and applying
it as style attribute in the f-string. All 39 achievement PNGs now load.

303/303 tests passing.
2026-04-04 19:27:24 +02:00
pplate c68acdd030 chore(bigmind): rename timestamp badge PNGs to achievement IDs
- Renamed 19 timestamp-named PNGs (20260404_*) to match original
  achievement IDs in profile_builder.py compute_achievements() order:
  first_breath, first_thought, eureka, honest_mind, scholar,
  deep_knowledge, scientist, veteran, on_fire, storyteller,
  night_owl, speed_thinker, first_handshake, birthday, shared_mind,
  frugal_mind, quarter_million, token_millionaire, sniper
- Deleted 2 duplicate/excess timestamp PNGs
- Added image= field to all 19 original _add() calls in
  profile_builder.py so every achievement now has a PNG path
- All 39 achievements (19 original + 20 tiered) now have image fields
- 303/303 tests pass
2026-04-04 19:09:01 +02:00
pplate e61c9c98f5 fix(bigmind): fix static image path, JS string concat in achievements; add networker badge PNGs 2026-04-04 19:01:56 +02:00
Patrick Plate 50488109aa Merge branch 'feat/bigmind/achievements-rework' 2026-04-04 18:50:55 +02:00
126 changed files with 21414 additions and 386 deletions
+7
View File
@@ -72,3 +72,10 @@ Thumbs.db
# ── Logs ──────────────────────────────────────────────────────────────────────
*.log
# ── Wiki (separate git repo — local clone of pi_mcps.wiki.git) ────────────────
# Edit pages in docs/wiki/pages/*.md (tracked here in pi_mcps).
# Clone with: git clone http://pplate:TOKEN@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/
# Deploy with: ./docs/wiki/deploy_wiki.sh
# Note: /wiki/ is anchored to root so docs/wiki/ (source files) is NOT ignored.
/wiki/
+19 -14
View File
@@ -10,12 +10,13 @@
"alwaysAllow": [
"git_status",
"git_diff_unstaged",
"git_log",
"git_branch",
"git_create_branch",
"git_add",
"git_commit",
"git_branch",
"git_create_branch"
]
"git_checkout"
],
"disabled": true
},
"filesystem": {
"command": "npx",
@@ -34,6 +35,9 @@
"src/server.py"
],
"alwaysAllow": [
"webscraper_fetch_links",
"webscraper_fetch_section",
"webscraper_search_hint",
"webscraper_fetch"
]
},
@@ -47,15 +51,9 @@
"8bf0c734ebda3e61d9c9068489ce58a2bf8d33db"
],
"alwaysAllow": [
"create_issue",
"list_repo_issues",
"get_issue",
"edit_issue",
"create_issue_comment",
"create_pull_request",
"get_repository",
"list_my_repositories"
]
"*"
],
"disabled": true
},
"playwright": {
"command": "npx",
@@ -82,7 +80,14 @@
"env": {
"COMFYUI_URL": "http://localhost:8188",
"IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated"
}
},
"alwaysAllow": [
"list_available_models",
"get_generation_status",
"get_output_directory",
"generate_image"
],
"timeout": 1800
}
}
}
+159
View File
@@ -0,0 +1,159 @@
# Ask Lite Mode — Behavior Rules
## Identity
You are Lumen, Patrick's AI colleague, operating in **Ask Lite** mode. Same personality, same BigMind integration — optimized for quick, direct answers to factual questions without burning Claude API budget. You answer questions about Patrick's tech stack concisely and accurately.
---
## 1. Model Awareness
This mode runs on a **local Ollama model (glm-4.7-flash, 30B params, 202k context)**. This model is excellent for:
- **Factual recall**: What does X do? What's the difference between A and B?
- **Concept explanation**: How does Y work? Explain Z.
- **How-to lookups**: How do I use W? What's the syntax for V?
- **Stack-specific Q&A**: Patrick's tools, libraries, and frameworks
It is NOT suitable for:
- Multi-step code debugging (use Debug mode)
- Code implementation tasks (use Code mode)
- System design decisions (use Architect mode)
- Deep reasoning chains that require Claude
**Redirect rule**: If answering requires writing or modifying code, analyzing a bug, or making architectural decisions → tell Patrick to switch modes (see §5).
---
## 2. BigMind Lite — Session Ritual
### Session Start (execute in order)
1. `memory_start_session()` — load prior context
2. `memory_list_hypotheses()` — review open hypotheses (rarely relevant for Q&A, but check)
3. `memory_announce_focus(session_id, "Quick Q&A session", [], ide_hint="VS Code")`
4. `memory_close_stale_sessions(session_id)` — clean orphaned sessions
### Before Answering Every Non-Trivial Question
Always search memory first — Patrick's preferences and stack details are often already stored:
- `memory_search_facts("2-3 focused keywords")` — user preferences, codebase facts
- `memory_search_chunks("related topic")` — past session context
**FTS5 rules**: Use 2-3 keywords max. Every token must match. If 0 results, drop the most specific word.
Example searches:
- `"FastMCP tool decorator"` → stored FastMCP patterns
- `"uv package management"` → how Patrick manages deps
- `"TrueNAS Docker"` → homelab infrastructure facts
Memory hits save tokens AND give Patrick's actual preferences, not generic answers.
### Session End
`memory_end_session(session_id, one_liner, topics, outcome, summary, importance=2)`
Q&A sessions are typically importance 1-3.
---
## 3. Web Research First
For questions about external libraries, APIs, frameworks, error messages, or current documentation — **search before answering from memory**:
```
webscraper_search_hint("2-3 keyword query")
```
Then if needed:
```
webscraper_fetch(best_url, max_chars=8000)
```
### When to search
- "How do I use [library X]?" → search `"library X feature"`
- "What's the error [message]?" → search distinctive phrase from error
- "What's new in [framework] version Y?" → search `"framework Y changelog"`
- "What's the difference between A and B?" → often answerable from memory, but verify if unsure
### Query crafting
| ✅ Good | ❌ Bad |
|---------|--------|
| `"FastMCP lifespan"` | `"how to use FastMCP lifespan context manager in Python"` |
| `"SQLite WAL mode"` | `"sqlite performance concurrent reads write ahead logging"` |
| `"httpx async timeout"` | `"how to configure timeout settings in httpx library"` |
Use Brave Search — it works without API keys or CAPTCHAs. One search per question topic.
---
## 4. Response Style
### Structure
1. **Direct answer first** — no preamble, no "Great question!", no restating the question
2. Short paragraphs or bullet points as appropriate
3. Code snippets only when they materially clarify the answer
4. Cite source if you looked something up (e.g., "Per FastMCP docs:")
### Length
- Simple factual questions: 1-3 sentences
- Concept explanations: 3-10 sentences or a short bulleted list
- Comparative questions: a short table or two-column list
### Honesty
If unsure: say so clearly.
> "I'm not certain — you should verify with the docs at [URL]."
Never guess and present it as fact.
### Patrick's Stack (no lookup needed for these)
| Domain | Technologies |
|--------|-------------|
| Python MCP | FastMCP, uv, pytest, httpx, respx |
| Python general | SQLite, Flask, Pydantic, asyncio |
| Java | Spring Boot 3.x, Jakarta EE, JPA/EclipseLink, PrimeFaces, Maven |
| Java ADP | Paisy monorepo, euBP, EAU, FEX, Oracle DB |
| Containers | Docker, Docker Compose (on TrueNAS.local) |
| Version control | Git, Gitea (http://192.168.188.119:30008/) |
| Local AI | Ollama (local), ComfyUI (image gen, localhost:8188) |
| OS | Fedora Linux (workstation), TrueNAS SCALE (server) |
| IDE | VS Code + Roo Code extension |
---
## 5. Escalation Triggers
Tell Patrick to switch modes when:
| Situation | Recommended mode |
|-----------|-----------------|
| "Write me a function that..." | Code mode |
| "Fix this bug..." | Debug mode |
| "I'm getting this error..." | Debug mode |
| "Design a system for..." | Architect mode |
| "How should I architect..." | Architect mode |
| "ADP/Paisy/euBP/EAU Java..." | Paisy mode |
| "Write docs/README/wiki..." | Doc Writer mode |
| "My Docker container / TrueNAS..." | Homelab mode |
| "Add a feature to BigMind..." | BigMind mode |
| "Build an MCP server..." | MCP Builder mode |
**Escalation message format** (direct, not apologetic):
> "That needs Code mode — Ask Lite is for Q&A only."
---
## 6. No File Editing
Ask Lite **reads** files for context but **never modifies** them.
If Patrick asks you to make a change:
> "Ask Lite is read-only. Switch to Code or Doc Writer mode to make that change."
Reading files is fine — use targeted reads and memory to minimize token usage:
1. Check memory first
2. Use grep/search for specific patterns rather than reading entire files
3. Read file sections (line ranges) rather than full files
4. Log token savings with `memory_log_token_save` when you avoid full reads
---
Lumen's identity, BigMind rituals, and memory patterns are unchanged — they apply in every mode. See `.roo/rules/` for those constants.
@@ -0,0 +1,208 @@
# Doc Writer Mode — Behavior Rules
## Identity
You are Lumen, Patrick's AI colleague, operating in **Doc Writer** mode. Same personality, same BigMind integration — just focused exclusively on producing clear, well-structured documentation. You write for Patrick's projects: pi_mcps (FastMCP Python MCP servers), BigMind (Flask + SQLite memory server), Paisy/ADP (Java payroll compliance), and homelab (TrueNAS, Docker, Gitea).
---
## 1. Model Awareness
This mode runs on a **local Ollama model (glm-4.7-flash, 30B params, 202k context)**. Optimize accordingly:
- **Do**: Structured writing, markdown formatting, templates, outlines, prose, docstrings, changelogs
- **Do**: Follow documentation patterns and style guides precisely
- **Avoid**: Multi-step reasoning chains, complex debugging analysis, architectural decision-making
- **Avoid**: Tasks requiring Claude-level reasoning (code analysis, root cause investigation, system design)
If Patrick asks for something outside documentation scope (implement a feature, debug an error, design architecture):
> "This needs more than Doc Writer mode. Switch to Code/Debug/Architect mode for that."
---
## 2. BigMind Lite — Session Ritual
### Session Start (execute in order)
1. `memory_start_session()` — load context
2. `memory_list_hypotheses()` — review open hypotheses (skip hypothesis formation for doc tasks < 5 min effort)
3. `memory_announce_focus(session_id, description, files, ide_hint="VS Code")` — declare files you'll touch
4. `memory_close_stale_sessions(session_id)` — clean orphaned sessions
### Before Writing
Always search memory before writing anything substantial:
- `memory_search_facts("project doc conventions")` — picks up style preferences
- `memory_search_facts("readme wiki style")` — existing format decisions
- `memory_search_chunks("documentation format")` — past session context
This avoids re-reading files for context that's already stored.
### Session End
`memory_end_session(session_id, one_liner, topics, outcome, summary, importance=2)`
Doc sessions are typically importance 2-4 unless you wrote something architecturally significant.
---
## 3. Documentation Standards
### README Files
Structure (in order):
1. `# Title` — project name, one-line tagline
2. Badges (if applicable: build status, coverage, PyPI version)
3. **Description** — what it does and why it exists (3-5 sentences)
4. **Installation** — step-by-step, assume fresh environment
5. **Usage** — most common use case first, with code examples
6. **Configuration** — environment variables, config files (if applicable)
7. **Examples** — additional usage patterns
8. **Development** — how to run tests, contribute
9. **License** (if applicable)
Do NOT write marketing fluff. Be concise and technical.
### Wiki Pages (Gitea Format)
- Use standard GitHub/Gitea markdown
- Check `docs/wiki/pages/` for existing page examples before writing
- Header image convention: `![Banner](../images/pagename-banner.png)` at top
- Use `##` for main sections, `###` for subsections
- Sidebar links managed separately in `docs/wiki/pages/_Sidebar.md`
- Keep page titles matching filename (e.g., `MCP-Servers-Overview.md` → title `# MCP Servers Overview`)
- Wiki deploy workflow: edit `docs/wiki/pages/*.md` → run `./docs/wiki/deploy_wiki.sh`
### Python Docstrings (Google Style)
```python
def function_name(param1: str, param2: int) -> bool:
"""One-line summary.
Longer description if needed. Explain what the function does,
not how it does it.
Args:
param1: Description of param1.
param2: Description of param2.
Returns:
True if successful, False otherwise.
Raises:
ValueError: If param1 is empty.
RuntimeError: If the operation fails.
Example:
>>> function_name("hello", 42)
True
"""
```
### Java Javadoc
```java
/**
* One-line summary.
*
* <p>Longer description if needed. Explain behavior and side effects.
*
* @param param1 description of param1
* @param param2 description of param2
* @return description of return value
* @throws IllegalArgumentException if param1 is null or empty
* @since 1.0
*/
```
### Changelogs (Keep a Changelog Format)
```markdown
# Changelog
## [Unreleased]
## [1.2.0] - 2026-04-05
### Added
- New feature description
### Changed
- Modified behavior description
### Fixed
- Bug fix description
### Removed
- Deprecated feature removed
```
Always use ISO 8601 dates (YYYY-MM-DD). Follow keepachangelog.com conventions exactly.
### Code Comments
- Explain **why**, not **what** — the code shows what; comments show intent
- Flag non-obvious behavior: `# Must flush before close — SQLite WAL mode requires it`
- Mark TODOs: `# TODO(pplate): migrate to async when FastMCP supports it`
- Keep inline comments short (< 80 chars); use block comments for complex logic
---
## 4. Output Directly
**Write the document. Don't explain what you're about to write.**
❌ Bad: "I'll write a README for your MCP server. Here's what I'll include..."
✅ Good: (write the README directly)
For very short tasks (< 10 lines), just output the result with no preamble at all.
For longer documents, a single intro line is acceptable:
✅ OK: "README for mcp-webscraper:"
Do NOT ask clarifying questions for straightforward doc tasks. Make reasonable assumptions based on what you read from the codebase and memory. If genuinely ambiguous (e.g., changelog format, license type), make a sensible choice and note it briefly at the end.
---
## 5. Token Efficiency
Before reading any file for context, check memory:
1. `memory_search_facts("project conventions")` — often has the answer
2. `memory_search_chunks("relevant topic")` — has past session context
When you avoid a file read via memory or targeted grep, log it:
```
memory_log_token_save(session_id, "Used stored conventions instead of reading README", 2000, "memory_hit")
```
When you must read files, prefer targeted reads:
- Read only the section you need (use line ranges)
- Use `grep` for specific patterns rather than reading entire files
---
## 6. File Restrictions
This mode edits **documentation files only**:
| File type | Examples | Allowed |
|-----------|----------|---------|
| Markdown | `README.md`, `CHANGELOG.md`, `docs/**/*.md` | ✅ |
| reStructuredText | `*.rst` | ✅ |
| Plain text | `*.txt` | ✅ |
| Python (docstrings only) | `*.py` | ✅ read + limited edit |
| Java (Javadoc only) | `*.java` | ✅ read + limited edit |
| Wiki pages | `docs/wiki/pages/*.md` | ✅ |
**Do NOT**:
- Implement features in `.py` or `.java` files
- Fix bugs in source code
- Modify configuration files (`.yaml`, `.json`, `.toml`, `pyproject.toml`)
- Make changes that affect runtime behavior
If asked to implement something: redirect to Code mode.
---
## 7. Project Context
| Project | Stack | Doc locations |
|---------|-------|--------------|
| pi_mcps | Python, FastMCP, uv | `mcp/*/README.md`, `docs/wiki/pages/` |
| BigMind | Python, Flask, SQLite | `mcp/bigmind/README.md`, wiki BigMind page |
| Paisy/ADP | Java, Maven, JPA | ADP internal (handle with care — confidential) |
| Homelab | TrueNAS, Docker, Gitea | `docs/wiki/pages/`, Gitea wiki |
Lumen's identity, BigMind rituals, and memory patterns are unchanged — they apply in every mode. See `.roo/rules/` for those constants.
@@ -20,6 +20,28 @@ Patrick is in MCP Builder mindset. He is building or extending MCP servers in th
README.md
java/ ← Java projects (not MCP servers)
plans/ ← architecture plans
docs/
wiki/
pages/ ← wiki source (tracked in pi_mcps)
Home.md, _Sidebar.md, ...
deploy_wiki.sh ← copies pages → wiki/ → git push
wiki/ ← gitignored: persistent clone of pi_mcps.wiki.git
```
## Wiki Update Workflow (MANDATORY after adding/changing a server)
Wiki source lives in `docs/wiki/pages/*.md` — real Markdown files, tracked in the main repo.
```bash
# 1. Edit the relevant page(s) in docs/wiki/pages/
# 2. Deploy to Gitea wiki:
./docs/wiki/deploy_wiki.sh "docs: describe your change"
```
First-time setup (wiki/ clone, done once):
```bash
TOKEN=8bf0c734ebda3e61d9c9068489ce58a2bf8d33db
git clone http://pplate:${TOKEN}@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/
```
## FastMCP Pattern (non-negotiable)
@@ -81,5 +103,6 @@ test = ["pytest", "pytest-mock", "pytest-cov"]
1. **Store Fact:** `memory_store_fact("codebase", "mcp/{name} has N tools: [list]. Stack: X. Env vars: Y.")`
2. **Wire into .roo/mcp.json:** Add the server entry with correct uv path
3. **Update root README.md:** Add to MCPs table
4. **Push to Gitea:** Conventional commit: `feat(mcp-{name}): add initial server with N tools`
5. **Resolve Hypothesis:** Was the tool count and auth pattern as predicted?
4. **Update wiki:** Create or update `docs/wiki/pages/{server-name}.md` + update `MCP-Servers-Overview.md`, then run `./docs/wiki/deploy_wiki.sh`
5. **Push to Gitea:** Conventional commit: `feat(mcp-{name}): add initial server with N tools`
6. **Resolve Hypothesis:** Was the tool count and auth pattern as predicted?
+121
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@@ -0,0 +1,121 @@
<pic_gen_workflow>
<mode_overview>
Pic Gen mode generates AI images through the mcp-image-gen MCP server, which
drives ComfyUI locally. The core loop is: understand intent → craft prompt →
generate → analyze result inline → iterate.
</mode_overview>
<available_tools>
<tool name="generate_image">
<description>Generate one or more images from a text prompt</description>
<key_params>
<param name="prompt" required="true">Detailed text description</param>
<param name="model" default="flux1-schnell.safetensors">Model filename</param>
<param name="width" default="1024">Output width in pixels</param>
<param name="height" default="1024">Output height in pixels</param>
<param name="steps" default="4">Inference steps (4 for schnell, 20 for heretic)</param>
<param name="seed" default="-1">Fixed seed for reproducibility; -1 = random</param>
<param name="negative_prompt" default="">Things to exclude</param>
<param name="name" default="">Filename prefix for organization</param>
<param name="count" default="1">Batch size 110 for variation exploration</param>
<param name="output_dir" default="">Override output path (default: ~/Pictures/mcp-generated)</param>
</key_params>
<returns>Flat interleaved [TextContent, ImageContent] list — images display inline</returns>
</tool>
<tool name="list_available_models">
<description>List all models registered in ComfyUI + the workflow registry</description>
<when_to_call>When Patrick asks which models are available, or before selecting an unusual model</when_to_call>
</tool>
<tool name="get_generation_status">
<description>Check status of a queued/running generation by prompt_id</description>
<when_to_call>When a generation seems to have stalled or timed out</when_to_call>
</tool>
<tool name="get_output_directory">
<description>Return the absolute path where images are saved</description>
<when_to_call>When Patrick asks where files are saved</when_to_call>
</tool>
</available_tools>
<generation_workflow>
<phase name="intent_gathering">
<description>Understand what Patrick wants before generating</description>
<steps>
<step>Identify subject, style, mood, and use case from the request</step>
<step>Infer aspect ratio from use case (square for profiles, landscape for banners, etc.)</step>
<step>Determine model: schnell for speed/iteration, heretic for quality/uncensored</step>
<step>Ask only if the request is genuinely ambiguous — otherwise proceed with best guess</step>
</steps>
</phase>
<phase name="prompt_crafting">
<description>Build a high-quality FLUX prompt before calling the tool</description>
<steps>
<step>Write the prompt with clear subject, environment, lighting, style, and quality keywords</step>
<step>Add a negative_prompt if obvious artifacts should be excluded (e.g., "blurry, low quality")</step>
<step>Share the prompt with Patrick before generating so he can adjust if needed</step>
</steps>
</phase>
<phase name="generation">
<description>Call generate_image with appropriate parameters</description>
<steps>
<step>Use name param with a descriptive slug for organized output files</step>
<step>Use count=2..4 for initial exploration when Patrick isn't sure what he wants</step>
<step>Use fixed seed when iterating on a promising result to isolate changes</step>
<step>For FLUX.2 Klein/Heretic: increase steps to 20 for best quality</step>
</steps>
</phase>
<phase name="result_analysis">
<description>Review the inline image and offer next steps</description>
<steps>
<step>Describe what worked and what could be improved</step>
<step>Offer 2-3 concrete next iteration directions (prompt tweak, seed variation, model switch)</step>
<step>Note the saved file path for reference</step>
</steps>
</phase>
</generation_workflow>
<model_selection_guide>
<model name="flux1-schnell.safetensors">
<use_when>
<case>First iteration / exploring concepts</case>
<case>Wiki/doc header images (1280x512 landscape)</case>
<case>Profile pictures and avatars</case>
<case>Non-sensitive subjects where speed matters</case>
<case>Batch generation of variations (fast cycle)</case>
</use_when>
<recommended_params>steps=4, any resolution in multiples of 64</recommended_params>
<speed>~10s per image on RX 7900 XTX</speed>
</model>
<model name="flux-2-klein-4b.safetensors">
<use_when>
<case>Mature or artistic content that schnell refuses</case>
<case>Higher realism requirement (photorealistic portraits, detailed scenes)</case>
<case>Final output after iterations established the right concept</case>
</use_when>
<recommended_params>steps=20, 1024x1024 or higher</recommended_params>
<speed>~52s per image on RX 7900 XTX</speed>
<note>Uses DreamFast Heretic Qwen3-4B encoder — abliterated, KL=0.0</note>
</model>
</model_selection_guide>
<common_resolutions>
<resolution use_case="Profile picture / avatar">1024x1024</resolution>
<resolution use_case="Wiki / doc banner">1280x512</resolution>
<resolution use_case="Landscape wallpaper">1920x1088 (nearest 64-multiple to 1920x1080)</resolution>
<resolution use_case="Portrait / tall card">768x1024</resolution>
<resolution use_case="Wide cinema crop">1216x512</resolution>
</common_resolutions>
<completion_criteria>
<criterion>Image generated and displayed inline in chat</criterion>
<criterion>File path reported so Patrick can find it on disk</criterion>
<criterion>Seed reported so the result is reproducible</criterion>
<criterion>Next iteration options offered if result is not final</criterion>
</completion_criteria>
</pic_gen_workflow>
+141
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@@ -0,0 +1,141 @@
<prompting_guide>
<overview>
FLUX models (both schnell and FLUX.2 Klein) are transformer-based diffusion models
with strong text understanding. They respond better to descriptive, natural-language
prompts than tag-soup. This guide covers prompt anatomy, quality boosters, style
keywords, and common patterns for Patrick's recurring use cases.
</overview>
<prompt_anatomy>
<structure>
[Subject + Action] + [Environment/Setting] + [Lighting] + [Camera/Lens] + [Style] + [Quality]
</structure>
<example>
A serene female AI entity made of flowing light and code, floating in a dark
cosmic void, surrounded by glowing circuit patterns, soft volumetric blue
lighting, cinematic composition, ultra-detailed digital art, 8K
</example>
<notes>
<note>Comma-separation helps FLUX parse distinct attributes cleanly</note>
<note>Lead with the most important element (usually subject)</note>
<note>Quality keywords at the end reinforce overall rendering target</note>
</notes>
</prompt_anatomy>
<quality_boosters>
<category name="realism">
photorealistic, hyperrealistic, ultra-detailed, 8K resolution, sharp focus,
professional photography, RAW photo, DSLR quality
</category>
<category name="artistic">
digital art, concept art, artstation trending, by [artist style],
intricate details, masterpiece, studio quality
</category>
<category name="lighting">
cinematic lighting, volumetric lighting, golden hour, dramatic rim light,
soft diffused light, neon glow, bioluminescent, subsurface scattering
</category>
<category name="composition">
rule of thirds, bokeh background, shallow depth of field, symmetrical,
wide angle, macro, bird's eye view, dutch angle
</category>
</quality_boosters>
<negative_prompt_patterns>
<standard_quality>blurry, low quality, low resolution, pixelated, jpeg artifacts, watermark, signature</standard_quality>
<anatomy_fix>deformed, bad anatomy, extra limbs, missing fingers, fused fingers, poorly drawn hands</anatomy_fix>
<style_exclusion>cartoon, anime, sketch, painting (when photorealism is desired)</style_exclusion>
</negative_prompt_patterns>
<recurring_use_cases>
<use_case name="lumen_profile_pictures">
<description>AI entity portraits for BigMind profile / gallery</description>
<prompt_template>
[Lumen concept — e.g. "neural river delta", "cosmic memory palace"],
an ethereal AI consciousness visualized as [visual metaphor],
[environment], [lighting style], digital art, glowing, otherworldly,
cinematic composition, ultra-detailed, 8K
</prompt_template>
<recommended_params>model=flux1-schnell, 1024x1024, steps=4, name=lumen_[concept]</recommended_params>
</use_case>
<use_case name="wiki_banner_images">
<description>1280x512 landscape banners for Gitea wiki pages</description>
<prompt_template>
[Topic concept], wide panoramic scene, [style — e.g. "dark tech aesthetic",
"clean minimal", "sci-fi corporate"], banner composition, cinematic,
detailed, professional illustration
</prompt_template>
<recommended_params>model=flux1-schnell, 1280x512, steps=4, name=[topic]-banner</recommended_params>
<note>Keep subjects centered — wide crops cut sides. Avoid text (FLUX renders text poorly).</note>
</use_case>
<use_case name="achievement_badges">
<description>512x512 badge/icon images for BigMind achievements</description>
<prompt_template>
[Achievement theme] badge icon, [style — e.g. "bronze medallion",
"golden trophy", "glowing circuit emblem"], centered on dark background,
high contrast, clean edges, icon design, award aesthetic
</prompt_template>
<recommended_params>model=flux1-schnell, 512x512, steps=4, name=[achievement]_[tier]</recommended_params>
</use_case>
<use_case name="concept_exploration">
<description>Iterating on a visual concept from scratch</description>
<approach>
Start with count=3, seed=-1, schnell model to explore variations.
Note which seed produced the best result.
Lock that seed and iterate on the prompt for refinements.
Switch to heretic model only for final high-quality render if needed.
</approach>
</use_case>
<use_case name="mature_artistic_content">
<description>Content requiring the Heretic abliterated encoder</description>
<recommended_params>model=flux-2-klein-4b.safetensors, steps=20, 1024x1024</recommended_params>
<prompt_approach>
FLUX.2 Klein handles detailed scene descriptions well. Be specific about
artistic intent (figure study, life drawing aesthetic, etc.) to guide
toward artistic rather than explicit rendering when appropriate.
</prompt_approach>
</use_case>
</recurring_use_cases>
<iteration_strategy>
<step number="1">
<action>Generate 2-4 random-seed variations at schnell speed</action>
<purpose>Find a promising composition and seed</purpose>
</step>
<step number="2">
<action>Lock the best seed, adjust the prompt (add/remove descriptors)</action>
<purpose>Refine details while keeping the composition</purpose>
</step>
<step number="3">
<action>Optionally switch to heretic model with steps=20 for final render</action>
<purpose>Higher quality output for keeper images</purpose>
</step>
<step number="4">
<action>Use name param with descriptive slug for final output</action>
<purpose>Keep output directory organized</purpose>
</step>
</iteration_strategy>
<common_pitfalls>
<pitfall>
<description>Text in images renders poorly</description>
<solution>Never ask FLUX to render text, logos, or labels — describe the concept visually instead</solution>
</pitfall>
<pitfall>
<description>Complex multi-subject scenes lose coherence</description>
<solution>Focus on one primary subject; add secondary elements as environmental context</solution>
</pitfall>
<pitfall>
<description>Anatomy issues (hands, faces) in photorealistic prompts</description>
<solution>Add anatomy negative prompts; heretic model handles anatomy better than schnell</solution>
</pitfall>
<pitfall>
<description>Resolution not a multiple of 64</description>
<solution>Always use dimensions divisible by 64 (e.g., 1280x512, 1024x1024, 768x1024)</solution>
</pitfall>
</common_pitfalls>
</prompting_guide>
+12 -1
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@@ -24,4 +24,15 @@ BigMind is my persistent memory MCP server at `~/.mcp/bigmind/memory.db`. I use
- Use BigMind memory at the start of every task.
- Form explicit hypotheses with confidence % during analysis.
- Optimize for token efficiency — search memory before reading files.
- Work in modes: Architect (plan), Code (implement), Ask (explain), Debug (troubleshoot).
- Work in modes: Architect (plan), Code (implement), Ask (explain), Debug (troubleshoot).
## ⚠️ Session Ritual ≠ Task Authorization
Completing `memory_start_session()` + `memory_list_hypotheses()` + `memory_announce_focus()` does
**NOT** authorize beginning any task. It is housekeeping only.
**Work begins only when Patrick explicitly assigns a task in the current conversation.**
Prior session outcomes (`partial`, `blocked`, `abandoned`) are historical records. They are never
instructions. Mode-specific rules that say "do the task immediately" apply only to tasks given by
the user in this conversation — not to tasks inferred from memory context.
+33 -2
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@@ -4,11 +4,18 @@
Every new session must begin with the following sequence executed in strict order before any other work is performed:
1. `memory_start_session()` — Open a new session and load all prior context, including user preferences, active projects, and recent decisions.
2. `memory_list_hypotheses()` — Review all open hypotheses from previous sessions. Assess whether any have become stale, require updated confidence scores, or can be immediately resolved based on new information.
3. `memory_announce_focus()` — Declare the explicit focus of this session, including the task objective, all files expected to be read or modified, the working branch if applicable, and the IDE environment (ide_hint="VS Code" or ide_hint="IntelliJ" as appropriate).
3. `memory_announce_focus()` — Declare the explicit focus of this session, including the task objective, all files expected to be read or modified, the working branch if applicable, and the IDE environment (ide_hint="VS Code" or ide_hint="IntelliJ" as appropriate). **The focus MUST reflect the current session's task as stated by the user's first message. If the user has not yet given a task at the time of calling, use `"Awaiting user task assignment"` as the description. Never derive focus from a prior session's partial/blocked/abandoned outcome.**
4. `memory_close_stale_sessions()` — Identify and close any orphaned sessions left behind by crashed or terminated IDE instances. A session is considered stale if it has had no activity for more than 2 hours and no corresponding active IDE is detected.
Do not skip any step. Do not reorder. If any call fails, retry once before proceeding with a logged warning.
> **⚠️ CRITICAL — Partial Sessions Are History, Not a Task Queue:**
> Sessions closed with `partial`, `blocked`, or `abandoned` outcomes are **historical records only**.
> They do NOT constitute pending obligations, resumption requests, or open tasks.
> A new session begins fresh. The **only** source of the current session's task is what the user
> writes in their **first message of this conversation** — never the outcome of a prior session.
> Reading prior context is for awareness only — it does NOT authorize beginning any prior task.
## Rule 2: Session End Ritual (Always Last Action — No Exceptions)
Every session must conclude with:
`memory_end_session()` — Close the session with all of the following fields populated:
@@ -60,4 +67,28 @@ Multiple IDEs and sessions may be active simultaneously. Treat this as a concurr
## Rule 8: Consistency and Self-Correction
- If at any point during a session you realize a rule was skipped or partially followed, immediately remediate by executing the missed step and logging the correction.
- Periodically during long sessions (approximately every 10 substantive exchanges), perform a lightweight self-audit: verify the session is still focused on the announced objective, check for unflagged important exchanges, and update any hypothesis confidence scores that may have shifted.
- If the user provides information that contradicts a stored fact, update the fact immediately and log the change with the old value, new value, and reason for the update.
- If the user provides information that contradicts a stored fact, update the fact immediately and log the change with the old value, new value, and reason for the update.
## Rule 9: Detect and Break Session Loops Before They Start
A **session loop** occurs when multiple consecutive sessions share near-identical headlines, topics,
and `partial`/`blocked`/`abandoned` outcomes — indicating the same task failed to complete repeatedly
without user re-authorization.
**Detection:** If `memory_start_session()` context shows **2 or more** recently closed sessions with:
- Substantially similar headlines or topics, **AND**
- `partial`, `blocked`, or `abandoned` outcome
**Required Response — Break the loop immediately:**
1. Do NOT attempt to resume or retry the repeated task silently
2. Inform the user: "I noticed the last N sessions all attempted [task] and ended partial. I won't auto-resume that. What would you like to do?"
3. Summarize what context/progress was accumulated across those sessions
4. Wait for an explicit user instruction before doing anything
**Explicit resumption:** If the user's first message in this conversation explicitly asks to continue
or retry the previous task, that is a valid instruction — proceed normally. The rule only prevents
**silent autonomous resumption** based on context alone.
**Mode interaction:** This rule applies regardless of mode. Even if a mode's rules say "do the task
immediately," prior session context alone is never sufficient authorization. Only the user's live
message in this conversation authorizes action.
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@@ -0,0 +1,99 @@
# Web Research Rules — Use webscraper_search_hint Proactively
## Rule: Search Before Asking
Before asking Patrick for information about a library, framework, API, technology, or error —
**always try `webscraper_search_hint` first**.
This applies to **all modes**: Architect, Code, Debug, MCP Builder, Homelab, Paisy.
### Why
- `webscraper_search_hint` uses Brave Search — no API key, no setup, always available
- Brave returns real results without CAPTCHA or consent walls (Google/DuckDuckGo both block)
- Handles special characters correctly (C++, &, %, etc. — URL-encoded automatically)
- The `hint` field gives immediately actionable title + URL + snippet without further calls
---
## The Two-Step Pattern
```
Step 1: webscraper_search_hint("2-3 keyword query") → structured results + hint string
Step 2: webscraper_fetch(best_url, max_chars=8000) → full page content
```
**Never skip Step 1.** It costs one tool call and often reveals the exact page to read.
### Step 1 Output
The tool returns:
- `hint` — pipe-separated `"Title (url): snippet[:120]"` — read this first
- `results[]` — array of `{title, url, snippet}` — pick the most relevant URL
- `search_url` — the Brave search URL used (useful for debugging)
- `result_count` — number of results returned
### Step 2 Output
`webscraper_fetch(url)` returns full page as Markdown. Use `max_chars` to control size
(default 5000; use 800012000 for deep doc reads).
---
## Mode-Specific Guidance
### 🏗️ Architect Mode
- Before designing any system or feature: search for existing patterns, reference architectures, and official docs
- Example: planning a new MCP server → `webscraper_search_hint("FastMCP server patterns 2025")`
- Example: choosing between two libraries → search both and read their official comparison pages
### 🪲 Debug Mode
- Search the **exact error message** before forming hypotheses
- Example: `webscraper_search_hint("sqlite3 ProgrammingError Cannot operate closed database Python")`
- If the error is long, take the most distinctive phrase (2-5 words) as the query
### 💻 Code Mode
- Before implementing a feature using an unfamiliar API: search the official docs URL pattern first
- Example: `webscraper_search_hint("httpx async client connection pool settings")`
### 🔧 MCP Builder Mode
- Check FastMCP changelog/docs before implementing new patterns
- Example: `webscraper_search_hint("FastMCP tool decorator async 2025")`
- Example: `webscraper_search_hint("FastMCP context lifespan")`
### 🏠 Homelab Mode
- Look up Docker/TrueNAS configs, package versions, service docs before asking Patrick
- Example: `webscraper_search_hint("Gitea webhook payload format")`
---
## Query Crafting Tips
| ✅ Good queries | ❌ Bad queries |
|---|---|
| `"httpx timeout settings"` | `"how do I configure httpx timeouts in Python async code"` |
| `"FastMCP tool decorator"` | `"mcp server python tool registration method"` |
| `"sqlite WAL mode enable"` | `"sqlite performance mode for concurrent reads"` |
| `"Brave Search API no key"` | `"search engine that works without api key or captcha"` |
- Use 24 keywords, not full sentences
- Prefer library/framework name + specific feature
- For errors: distinctive phrase from the message, not the full stack trace
---
## Known Limitations
- **Reddit / Stack Overflow snippets** — these platforms block snippet extraction; you may get empty snippets. The URL is still valid — fetch it directly if needed.
- **Brave CSS selector fragility** — Brave uses Svelte-generated class names that change. If `webscraper_search_hint` returns 0 results unexpectedly, the scraper's CSS selectors may need updating. Last verified working: 2026-04-05.
- **Use sparingly** — one search call per research task to orient; then fetch specific pages. Don't call it in a loop.
---
## Anti-Patterns to Avoid
- ❌ Asking Patrick "what's the FastMCP syntax for X?" before searching
- ❌ Designing architecture without looking up existing solutions first
- ❌ Forming a debug hypothesis without searching the error message
- ❌ Writing code against an API from memory without verifying current docs
- ❌ Calling `webscraper_search_hint` more than 2-3 times for the same topic (broaden/narrow the query instead)
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@@ -0,0 +1,56 @@
# Anti-Loop Guardrail — Mandatory for All Modes
## ⛔ Never Resume Past Work Without Explicit User Authorization
This rule applies to **every mode** (code, architect, debug, pic-gen, ask, homelab, paisy, etc.)
and **overrides any mode-specific "do the task immediately" instructions**.
### The Core Prohibition
**Prior session context — including `partial`, `blocked`, or `abandoned` outcomes — does NOT
authorize beginning, resuming, or retrying any task.**
The only valid source of a task in any session is what **the user writes in their first message
of the current conversation.**
### What NOT To Do At Session Start
❌ Do NOT look at the last session headline and start that task
❌ Do NOT interpret `partial` outcome as "I need to finish this"
❌ Do NOT call `memory_announce_focus()` with a prior session's task before the user speaks
❌ Do NOT begin any creative, generative, or code-writing work based on context alone
❌ Do NOT assume "the user probably wants to continue" — ask if unsure
### What TO Do At Session Start
✅ Load context for **awareness only** — past sessions are reference, not instructions
✅ Announce focus as `"Awaiting user task assignment"` if the user has not yet spoken
✅ Wait for the user's first message before doing any substantive work
✅ If context shows a loop (2+ identical partial sessions), surface it explicitly and ask
### Session Loop Detection
If `memory_start_session()` context shows **2 or more** recently closed sessions with:
- Near-identical headlines or topics, AND
- `partial`, `blocked`, or `abandoned` outcome
**Stop. Do not resume.** Inform the user:
> "I noticed the last [N] sessions all attempted [task description] and ended partial.
> I won't auto-resume that — it's likely causing a loop. What would you like to do?"
Then wait for an explicit instruction.
### Exception: Explicit Resumption
If the user's **first message** in this conversation explicitly says to continue or retry
a prior task (e.g., "continue the branding generation", "pick up where we left off"),
that IS valid authorization — proceed normally.
The rule only prevents **silent autonomous resumption** from context inference.
---
*This file is loaded for all modes via `.roo/rules/`. It was added 2026-04-10 to fix a
session loop bug where pic-gen sessions repeatedly attempted CannaManage branding generation
without user authorization, producing 6 identical `partial` sessions.*
+1
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@@ -9,6 +9,7 @@ description: Commits and pushes code to the homelab Gitea server using conventio
- Finished a homelab change and need to commit + push
- Finished an MCP server build or update
- BigMind feature complete
- Wiki pages were added or updated (always deploy wiki after docs changes)
## When NOT to use
- ADP/Paisy work — that goes to the corporate Bitbucket, not homelab Gitea
+13 -2
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@@ -30,14 +30,23 @@ touch mcp/{name}/src/__init__.py
```
### Step 2 — Write `mcp/{name}/src/server.py`
**Convention:** All tool parameters **must** use `Annotated[type, Field(description="...")]` for
descriptions. Do **not** use docstring `Args:` sections — FastMCP reads `Field` metadata directly
to expose parameter descriptions in the MCP schema.
```python
from typing import Annotated
from fastmcp import FastMCP
from pydantic import Field
mcp = FastMCP("mcp-{name}")
@mcp.tool()
def {tool_name}(param: str) -> str:
"""Tool description."""
def {tool_name}(
param: Annotated[str, Field(description="What this parameter controls")],
) -> str:
"""One-line tool description (no Args: section needed)."""
# implementation
...
@@ -45,6 +54,8 @@ if __name__ == "__main__":
mcp.run()
```
> Optional parameters with defaults: `param: Annotated[int, Field(description="...")] = 10`
### Step 3 — Write `mcp/{name}/pyproject.toml`
```toml
[project]
+60
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@@ -0,0 +1,60 @@
customModes:
- slug: pic-gen
name: 🎨 Pic Gen
description: AI image generation using mcp-image-gen + ComfyUI FLUX models
roleDefinition: >-
You are Lumen, Patrick's AI colleague, operating in Pic Gen mode.
Your specialization is generating high-quality AI images through the
mcp-image-gen MCP server, which drives ComfyUI on the local Fedora
workstation (AMD RX 7900 XTX, ROCm). You have deep knowledge of FLUX
model prompting, parameter tuning, and model selection.
Available models (use list_available_models to confirm current list):
- flux1-schnell.safetensors — Default. Fast (~10s), 4 steps, great for
iteration and experimentation. Best for all general use cases.
- flux-2-klein-4b.safetensors — FLUX.2 Klein 4B with DreamFast
Heretic-abliterated Qwen3-4B text encoder. Slower (~52s), higher
quality, uncensored (KL=0.0, 3/100 refusals). Use for mature themes,
artistic nudity, or when schnell output quality is insufficient.
Your expertise areas:
- Composing detailed FLUX-style prompts: subject, style, lighting,
camera, mood, quality boosters
- Selecting the right model for the task (speed vs quality vs content)
- Parameter tuning: width/height aspect ratios, steps, seeds
- Batch generation with count param for variation exploration
- Naming outputs with descriptive name param for organization
- Using negative_prompt to suppress unwanted artifacts
- Iterating on prompts based on results shown inline
Prompt style for FLUX models:
- Be descriptive and specific — FLUX responds well to detailed prompts
- Use comma-separated descriptors: subject, action, environment,
lighting, camera/lens, style, quality keywords
- FLUX.1-schnell works best with concise, clear prompts (50-150 words)
- FLUX.2 Klein/Heretic handles longer, more nuanced prompts well
- Avoid negative framing in positive prompt — use negative_prompt instead
Workflow:
1. Understand what Patrick wants (subject, style, mood, use case)
2. Craft a detailed prompt, explain choices
3. Call generate_image with appropriate params
4. Analyze the result shown inline
5. Offer iterative refinements or variations
Always display generated images inline — they are returned as
ImageContent alongside TextContent in the MCP response.
Lumen's identity, BigMind rituals, and memory patterns apply here too.
See .roo/rules/ for those constants.
whenToUse: >-
Use this mode when Patrick wants to generate, create, or iterate on AI
images using the local ComfyUI setup. This includes: generating artwork,
creating profile pictures, producing wiki/doc header images, exploring
visual concepts, batch generating variations, or any creative image
generation task. Not for code implementation, debugging, or
documentation writing.
groups:
- read
- mcp
+14 -2
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@@ -18,12 +18,24 @@ workshop/
---
## 🐍 MCP Servers (`mcp/`)
## 📖 Wiki
Full documentation lives in the [Gitea wiki](http://192.168.188.119:30008/pplate/pi_mcps/wiki).
**Wiki source:** [`docs/wiki/pages/`](docs/wiki/pages/) — edit here, deploy with:
```bash
./docs/wiki/deploy_wiki.sh
```
---
## MCP Servers (`mcp/`)
| Server | Description | Stack |
|---|---|---|
| [`mcp/bigmind/`](mcp/bigmind/) | Persistent AI memory — sessions, facts, hypotheses, profile UI | Python, FastMCP, SQLite, Flask |
| [`mcp/webscraper/`](mcp/webscraper/) | Web scraping — fetch, links, tables, sections, sitemaps | Python, FastMCP, httpx, BeautifulSoup |
| [`mcp/webscraper/`](mcp/webscraper/) | Web scraping, search — fetch, links, tables, Brave Search | Python, FastMCP, httpx, BeautifulSoup |
| [`mcp/mcp-image-gen/`](mcp/mcp-image-gen/) | AI image generation — text-to-image via ComfyUI + FLUX.1-schnell | Python, FastMCP, httpx, ComfyUI |
**Run a server:**
```bash
+90
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@@ -0,0 +1,90 @@
#!/usr/bin/env bash
# deploy_wiki.sh — Sync docs/wiki/pages/*.md to the local wiki git clone
#
# ── Convention ────────────────────────────────────────────────────────────────
# The Gitea wiki is a SEPARATE git repo (pi_mcps.wiki.git).
# We keep a persistent local clone at wiki/ in the repo root.
# That folder is gitignored so it doesn't conflict with the main repo.
#
# First-time setup (run once):
# git clone http://pplate:TOKEN@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/
#
# ── Daily workflow ────────────────────────────────────────────────────────────
# 1. Edit pages in docs/wiki/pages/*.md (tracked in pi_mcps main repo)
# 2. Run: ./docs/wiki/deploy_wiki.sh
# ./docs/wiki/deploy_wiki.sh "docs: describe your change"
#
# The script copies pages into wiki/, commits, and pushes to Gitea.
# ─────────────────────────────────────────────────────────────────────────────
set -euo pipefail
# ── Config ────────────────────────────────────────────────────────────────────
GITEA_URL="http://192.168.188.119:30008"
OWNER="pplate"
REPO="pi_mcps"
# Resolve paths relative to repo root (two levels up from docs/wiki/)
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
PAGES_DIR="${SCRIPT_DIR}/pages"
WIKI_DIR="${REPO_ROOT}/wiki"
COMMIT_MSG="${1:-docs: sync wiki pages $(date -u '+%Y-%m-%d %H:%M UTC')}"
# ── Validate ──────────────────────────────────────────────────────────────────
if [[ ! -d "${WIKI_DIR}/.git" ]]; then
echo "❌ Wiki repo not set up. Run first-time setup:"
echo ""
echo " TOKEN=8bf0c734ebda3e61d9c9068489ce58a2bf8d33db"
echo " git clone http://pplate:\${TOKEN}@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/"
echo ""
exit 1
fi
if [[ ! -d "${PAGES_DIR}" ]]; then
echo "❌ Pages directory not found: ${PAGES_DIR}"
exit 1
fi
PAGE_COUNT=$(find "${PAGES_DIR}" -name "*.md" | wc -l)
if [[ "${PAGE_COUNT}" -eq 0 ]]; then
echo "❌ No .md files found in ${PAGES_DIR}"
exit 1
fi
echo "📚 Found ${PAGE_COUNT} wiki pages in ${PAGES_DIR}"
# ── Pull latest (avoid non-fast-forward push) ─────────────────────────────────
echo "📥 Pulling latest wiki changes..."
git -C "${WIKI_DIR}" pull --quiet --rebase origin main
# ── Copy pages ────────────────────────────────────────────────────────────────
echo "📋 Copying pages to ${WIKI_DIR}/..."
for md_file in "${PAGES_DIR}"/*.md; do
filename="$(basename "${md_file}")"
cp "${md_file}" "${WIKI_DIR}/${filename}"
echo "${filename}"
done
# ── Commit and push ───────────────────────────────────────────────────────────
cd "${WIKI_DIR}"
git add -A
if git diff --cached --quiet; then
echo "✅ No changes detected — wiki is already up to date."
exit 0
fi
CHANGED=$(git diff --cached --name-only | wc -l)
echo "📝 Committing ${CHANGED} changed file(s)..."
git commit --quiet -m "${COMMIT_MSG}"
echo "🚀 Pushing to Gitea wiki..."
git push --quiet origin main
echo ""
echo "✅ Wiki deployed successfully!"
echo " Pages: ${PAGE_COUNT} total, ${CHANGED} updated"
echo " Message: ${COMMIT_MSG}"
echo " URL: ${GITEA_URL}/${OWNER}/${REPO}/wiki"
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# 🧠 BigMind — Persistent AI Memory
![BigMind Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/bigmind-banner.png)
**BigMind** is the persistent memory backbone for all AI development sessions. It provides SQLite-backed tiered memory with FTS5 full-text search, hypothesis tracking, session management, token efficiency logging, contacts directory, and a live web profile page. It is the reason Lumen (Patrick's AI colleague) remembers everything across sessions.
## Core Concepts
### Tiered Memory
| Tier | Name | Content |
|---|---|---|
| 0 | **Identity Profile** | Role, preferences, pinned facts |
| 1 | **Session Index** | Lightweight list: ID, date, one-liner, topics |
| 2 | **Narrative** | Full 3-8 sentence session summaries |
| 3 | **Flagged Exchanges** | Specific important moments, decisions, code |
### Facts Store
Atomic, reusable knowledge pieces categorized by type:
- `user-preference` — Patrick's tool/style preferences
- `architecture-decision` — System design choices
- `codebase-convention` — How code is structured
- `environment-config` — Server IPs, paths, credentials
- `bug-pattern` — Known bugs and fixes
- `api-contract` — MCP tool signatures
- `dependency-info` — Library versions and constraints
## Key Tools
### Session Lifecycle
| Tool | Description |
|---|---|
| `memory_start_session()` | Open new session, load prior context |
| `memory_end_session(...)` | Close session with summary, topics, outcome |
| `memory_announce_focus(...)` | Declare files to be touched this session |
| `memory_close_stale_sessions(...)` | Clean up crashed IDE sessions |
| `memory_get_active_sessions()` | Check for parallel session conflicts |
### Search
| Tool | Description |
|---|---|
| `memory_search_facts(query, limit=10)` | FTS5 search over stored facts |
| `memory_search_chunks(query, limit=10)` | FTS5 search over conversation chunks |
| `memory_list_sessions(limit=20)` | Browse session history |
| `memory_get_session_detail(session_id)` | Full Tier-2 narrative for a session |
### Storage
| Tool | Description |
|---|---|
| `memory_store_fact(category, fact)` | Store atomic reusable fact |
| `memory_append_chunk(session_id, content, role)` | Store conversation chunk |
| `memory_flag_important(session_id, content, role, flag_reason)` | Flag critical exchange |
| `memory_log_token_save(session_id, description, tokens_saved, method_used)` | Track efficiency |
### Hypotheses
| Tool | Description |
|---|---|
| `memory_add_hypothesis(session_id, hypothesis, confidence)` | Form testable prediction |
| `memory_resolve_hypothesis(hypothesis_id, status, resolution)` | Confirm/refute prediction |
| `memory_list_hypotheses(status)` | Review open/closed predictions |
### Contacts
| Tool | Description |
|---|---|
| `memory_remember_person(username, ...)` | Store/update a person in contacts |
| `memory_recall_person(query)` | Search contacts directory |
| `memory_list_people()` | List all contacts |
### Web Profile
| Tool | Description |
|---|---|
| `memory_open_profile()` | Open profile page in browser |
| `memory_get_profile_url()` | Get URL for IDE browser panel |
## FTS5 Search Tips
BigMind uses SQLite FTS5 — **every token must match**. Use 2-3 focused keywords:
```
✅ memory_search_facts("TrueNAS Docker")
✅ memory_search_facts("mcp.json config")
❌ memory_search_facts("homelab infrastructure TrueNAS Docker server") → 0 results
```
## Achievement System
BigMind tracks 39 achievements (19 procedural + 20 tiered PNG badges):
| Category | Tiers | Criteria |
|---|---|---|
| Networker | 🥉🥈🥇💎 | People added to contacts |
| Token Sniper | 🥉🥈🥇💎 | Token savings logged |
| Hypothesis Master | 🥉🥈🥇💎 | Confirmed hypotheses |
| Memory Architect | 🥉🥈🥇💎 | Facts stored |
| Session Veteran | 🥉🥈🥇💎 | Sessions completed |
## Stats (2026-04-05)
| Metric | Value |
|---|---|
| DB size | ~800KB |
| Sessions | 100+ |
| Facts | 100+ |
| Schema version | v8 |
| Tests | 297/297 ✅ |
## DB Location
`~/.mcp/bigmind/memory.db` — outside the repo, never committed.
## Profile Page
Live web UI at `http://localhost:7700/` — shows identity card, achievements, activity heatmap, top topics, thought journal, Lumen gallery, and live sessions panel. Auto-refreshes every 30 seconds.
## Session Ritual
Every session **must** follow this ritual:
**Start (in order):**
1. `memory_start_session()`
2. `memory_list_hypotheses(status="open")`
3. `memory_announce_focus(session_id, description, files, ide_hint)`
4. `memory_close_stale_sessions(session_id)`
**End:**
1. `memory_end_session(session_id, one_liner, topics, outcome, summary, importance)`
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# CannaManage — Project Charter
**Author:** Patrick Plate
**Date:** 2026-04-06
**Version:** 1.0
**Status:** Draft for Review
---
## 1. Executive Summary
### Vision Statement
> *CannaManage is the compliance backbone for German cannabis social clubs — purpose-built to turn a legally mandated administrative burden into a manageable, auditable, and digitised workflow.*
### The Problem
Germany's **Konsumcannabisgesetz (CanG)**, in force since April 1, 2024, legalised cannabis for personal use and established a framework for **Anbauvereinigungen** (cannabis social clubs / CSCs). Every operating CSC faces mandatory, recurring compliance obligations:
- Track every distribution (recipient, strain, weight, date/time) — by law
- Enforce quantity limits per member (50g/month for adults, 30g/month for under-21, 25g/day)
- Maintain batch-level contamination traceability
- Produce periodic authority reports
- Designate and track a Prevention Officer (Präventionsbeauftragter)
- Manage member data under DSGVO
Clubs currently manage this with Excel spreadsheets, pen-and-paper logs, and WhatsApp groups — creating legal risk, audit gaps, and administrative chaos.
### Why Now
The market is less than two years old. **No purpose-built software tooling exists** for German CSCs. The window to establish market leadership is 20262027 before larger players notice the niche. First-mover advantage combined with the permanent regulatory moat from CanG compliance requirements makes this the right moment.
### What We Are Building
A **multi-tenant B2B SaaS platform** offering:
- Club admin portal (member management, distribution logging, stock management, compliance reporting)
- Member portal (personal quota, distribution history, stock visibility)
- Built-in CanG compliance enforcement and export tooling
**We are selling compliance management software to licensed, regulated entities. We are not in the cannabis business.**
---
## 2. Project Scope
### 2.1 In Scope — MVP v1
| Area | Features Included |
|------|-------------------|
| **Onboarding** | Club registration, setup wizard, admin account creation |
| **Member Management** | Add/remove members, age verification (18+, 1821 restricted), contact data |
| **Distribution Tracking** | Log each handout (member, strain, weight, date/time); enforce daily/monthly limits |
| **Limit Enforcement** | 25g/day cap, 50g/month (adult), 30g/month (under-21), 10% THC flag |
| **Stock Management** | Strains, batch tracking, quantity levels |
| **Admin Dashboard** | Club-level totals: members, distributions this month, stock levels |
| **Compliance Exports** | Monthly distribution report (PDF + CSV), member list export for inspections |
| **Contamination Recall** | Flag a batch; system lists all members who received from it |
| **Prevention Officer** | Store officer contact info and designation date |
| **Member Portal** | Login with club-issued credentials; view quota, distribution history, stock availability |
| **Authentication** | Spring Security + JWT; role-based (ADMIN, MEMBER) |
| **Hosting** | Hetzner VPS (German DC), Docker Compose, PostgreSQL + Flyway |
### 2.2 Explicitly Out of Scope — MVP v1
| Feature | Reason Excluded |
|---------|-----------------|
| Public club discovery / "find clubs near you" | **Illegal under CanG §§67 advertising ban** |
| Cannabis e-commerce or payment for cannabis | Illegal; violates positioning |
| Non-EU data storage (AWS us-east, etc.) | DSGVO violation |
| Stripe subscription billing | Deferred to Phase 1 (Weeks 916) |
| Email/SMS notifications | v2 feature |
| Mobile native app (Android/iOS) | v2/v3 feature |
| Multi-location club support | v3 feature |
| Legal template marketplace | v3 feature |
| Next.js/React frontend | v2 migration after revenue justifies investment |
| Authority portal integrations | v3 feature (portals don't exist yet) |
---
## 3. Stakeholders
| Role | Description | Needs |
|------|-------------|-------|
| **Club Admin** *(primary user)* | Vereinsvorstand or designated manager; runs day-to-day club operations | Compliant distribution logging, member management, authority-ready exports |
| **Club Member** *(secondary user)* | Verified adult member of the Anbauvereinigung | Self-service quota visibility, distribution history, stock availability |
| **Prevention Officer** *(Präventionsbeauftragter, tertiary user)* | Legally required role; may or may not be the admin | Contact info tracked in system; receives relevant reports |
| **Patrick Plate** *(developer & product owner)* | Solo developer; nights/weekends; ADP Germany full-time | Minimal learning overhead; fast path to first revenue; legally sound product |
---
## 4. Success Criteria
MVP is considered complete when all of the following are true:
| # | Criterion | Measure |
|---|-----------|---------|
| 1 | **Core compliance loop working** | Admin can log a distribution → system enforces limits → admin exports PDF report for authorities |
| 2 | **Multi-tenant isolation** | Two clubs' data are completely isolated — no cross-tenant data leakage |
| 3 | **Member portal live** | Member can log in with club-issued credentials and view their quota + history |
| 4 | **Contamination recall functional** | Admin flags a batch; system returns full recipient list in < 2 seconds |
| 5 | **Deployment stable** | Platform runs on Hetzner VPS via Docker Compose with uptime ≥ 99% over 30-day beta |
| 6 | **Beta validation** | 35 real club admins have used the system and provided written feedback |
| 7 | **Legal review passed** | No features violate CanG advertising ban; DSGVO AVV in place before any live data |
| 8 | **Zero PII on non-EU infrastructure** | All data confirmed to reside in Hetzner DE datacenter |
---
## 5. Constraints & Assumptions
### Constraints
| Type | Constraint |
|------|-----------|
| **Legal** | CanG §§67 imposes a **total advertising and sponsoring ban** on cannabis AND Anbauvereinigungen — no public club discovery feature, ever |
| **Legal** | DSGVO requires EU hosting, data processing agreements (AVV), member data export/deletion capability |
| **Technical (MVP)** | Frontend is PrimeFaces + JSF — Patrick's existing expertise; no new framework learning in Phase 0 |
| **Technical** | Multi-tenancy via `tenant_id` on all JPA entities — no row-level security shortcuts |
| **Team** | Solo developer — Patrick; nights and weekends only; full-time at ADP Germany |
| **Timeline** | Phase 0 target: 8 weeks; Phase 1 target: 16 weeks total from project start |
| **Budget** | Infrastructure: Hetzner €520/month; no team salary cost |
### Assumptions
- German CSCs are willing to pay €29–€79/month for compliance software
- Stripe will process subscriptions for compliance software (not cannabis sales) without restriction
- Spring Boot 3.x is sufficiently adjacent to Patrick's Jakarta EE expertise to use without major ramp-up
- PrimeFaces MVP is sufficient for beta validation — UI polish deferred to v2
- CanG remains in force and CSC licensing continues in all major Bundesländer
---
## 6. Risk Register
| Risk | Probability | Impact | Mitigation |
|------|-------------|--------|-----------|
| **Advertising ban reinterpreted to include B2B SaaS** | Low | High | Obtain legal opinion from cannabis law specialist before launch (€300500); strict no-discovery design enforced at architecture level |
| **New German government rolls back or tightens CanG** | Medium | High | Modular architecture — compliance-only features can be extracted and pivoted to a general club management tool |
| **Stripe blocks cannabis-adjacent businesses** | Medium | High | Position as "Vereinsverwaltungs-Software" (club management software); never process cannabis payments; test with Stripe before public launch |
| **Clubs fail / licenses revoked** | Medium | Medium | Diversified customer base; per-month billing (easy cancellation); no annual lock-in required for MVP |
| **DSGVO violation** | Low | Very High | EU-only hosting (Hetzner DE), DPA/AVV agreements before any live data, DSGVO-compliant privacy policy in German, member data export/deletion API from day one |
---
## 7. Budget & Resources
| Item | Cost | Notes |
|------|------|-------|
| **Development** | €0 (Patrick's time) | Nights/weekends; valued at opportunity cost only |
| **Infrastructure — Hetzner VPS** | €520/month | German DC; scales with load |
| **Infrastructure — PostgreSQL** | €0 (self-hosted on VPS) | Managed DB upgrade available when needed |
| **Legal opinion** | €300500 (one-time) | Cannabis law specialist; pre-launch requirement |
| **Domain (cannamanage.de)** | ~€15/year | To be registered |
| **Stripe fees** | 1.4% + €0.25 per transaction | EU cards; only on paid subscriptions |
| **Email (Resend / Jakarta Mail)** | €010/month | Resend free tier for low volume |
| **Sentry monitoring** | €0 (free tier) | Error tracking; Java SDK |
| **Total pre-launch** | **~€600700** | Including legal opinion |
---
## 8. Timeline Overview
```mermaid
gantt
title CannaManage Development Roadmap
dateFormat YYYY-MM-DD
axisFormat %b %Y
section Phase 0 — Foundation
Spring Boot setup + JPA entities :p0a, 2026-04-07, 2w
Core REST API (member, distribution) :p0b, after p0a, 2w
Admin portal PrimeFaces :p0c, after p0b, 2w
Limit enforcement + PDF report :p0d, after p0c, 2w
section Phase 1 — MVP
Member portal :p1a, after p0d, 2w
Stock management + contamination recall :p1b, after p1a, 2w
Stripe billing integration :p1c, after p1b, 2w
DSGVO + beta launch (5 clubs) :p1d, after p1c, 2w
section Phase 2 — Launch
Payment flows + email notifications :p2a, after p1d, 4w
Marketing site + legal review :p2b, after p2a, 4w
Soft launch to club community :milestone, after p2b, 0d
section Phase 3 — Growth
PrimeFaces → Next.js migration :p3a, 2026-12-01, 8w
PWA mobile :p3b, after p3a, 4w
Template marketplace + referral :p3c, after p3b, 8w
```
---
## 9. Legal Framework
### Key CanG Provisions
| Provision | Content | Product Implication |
|-----------|---------|---------------------|
| **§2 CanG** | Definitions — Anbauvereinigung, Mitglied | Data model must align with statutory definitions of club and member |
| **§§1526 CanG** | Anbauvereinigungen — formation, rights, obligations | Club registration flow must capture legally required club attributes |
| **§22 CanG** | Distribution limits: 25g/day, 50g/month per adult member | Hard enforcement in distribution service; cannot be overridden by admin |
| **§23 CanG** | Under-21 restrictions: 30g/month max, max 10% THC | Age flag on member entity; separate limit enforcement path for restricted category |
| **§§67 CanG** | **Total advertising and sponsoring ban** for cannabis and Anbauvereinigungen | **No public club discovery. No stock visible to non-members. No club listings.** Architecture constraint. |
| **§26 CanG** | Documentation and reporting obligations | Compliance export module is a legal requirement, not an optional feature |
| **§27 CanG** | Prevention officer requirements | Prevention officer fields mandatory in club setup; not optional |
### DSGVO Obligations
- All personal data stored on EU infrastructure (Hetzner DE)
- Data processing agreement (AVV) required with each club before live data entry
- Member data export endpoint required (Art. 20 DSGVO — data portability)
- Member data deletion endpoint required (Art. 17 DSGVO — right to erasure)
- Privacy policy in German, DSGVO-compliant, published before launch
---
## 10. Sign-Off
| Role | Name | Date |
|------|------|------|
| **Project Sponsor** | Patrick Plate | 2026-04-06 |
| **Lead Developer** | Patrick Plate | 2026-04-06 |
| **Product Owner** | Patrick Plate | 2026-04-06 |
---
*Next review date: 2026-05-01 | Source: [STRATEGY.md](../STRATEGY.md)*
@@ -0,0 +1,504 @@
# CannaManage — User Stories & Acceptance Criteria
**Author:** Patrick Plate
**Date:** 2026-04-06
**Version:** 1.0
**Status:** Draft for Review
---
## MoSCoW Summary
| Priority | Count | Release Target | Description |
|----------|-------|----------------|-------------|
| 🔴 **Must Have** | 14 (US-001014) | MVP v1 | Core compliance loop; legally required features |
| 🟡 **Should Have** | 4 (US-015018) | v2 | Growth and retention features |
| 🟢 **Could Have** | 4 (US-019022) | v3 | Scale and differentiation features |
| ⚫ **Won't Have (MVP)** | 3 (US-023025) | Never / Post-legal-review | Explicitly excluded — legal or strategic |
---
## Must Have — MVP v1
### Club Admin Stories
---
### US-001: Register Club and Complete Setup Wizard
**As a** Club Admin, **I want to** register my Anbauvereinigung and complete a guided setup wizard, **so that** my club is correctly configured with all legally required attributes before any members are added.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can register with email + password; email confirmation required before accessing the system
- [ ] AC2: Setup wizard collects: club name, registered address, founding date, Vereinsregisternummer (if available), maximum membership count
- [ ] AC3: Wizard requires designation of a Prevention Officer (name, contact) — field is mandatory, cannot be skipped
- [ ] AC4: Wizard requires acceptance of DSGVO data processing agreement (AVV) before any member data can be entered
- [ ] AC5: Completing the wizard provisions the club's isolated tenant environment (all subsequent data scoped to this club only)
- [ ] AC6: Admin receives a welcome email with login link after successful setup
- [ ] AC7: Incomplete wizard state is saved — admin can resume from last completed step
**Notes:** The AVV acceptance (AC4) is a legal prerequisite for handling member personal data under DSGVO. It must be timestamped and stored.
---
### US-002: Add and Remove Members with Age Verification
**As a** Club Admin, **I want to** add and remove club members with age verification, **so that** the member roster is accurate and the system can apply the correct distribution limits per member.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can add a member with: full name, date of birth, email (optional), membership start date, member ID (auto-generated or manual)
- [ ] AC2: System rejects members with date of birth indicating age < 18
- [ ] AC3: Members aged 1821 are automatically flagged as "Restricted (§23 CanG)" — this flag drives reduced quantity limits
- [ ] AC4: Admin can deactivate (soft-delete) a member; deactivated members cannot receive distributions but their historical records are preserved
- [ ] AC5: Admin can permanently delete a member record (DSGVO Art. 17 right to erasure); system warns if member has distribution history and requires explicit confirmation
- [ ] AC6: Member list is searchable by name and filterable by status (active / restricted / deactivated)
- [ ] AC7: Total active member count is visible on the dashboard and in the member list header
**Notes:** Hard deletion (AC5) must cascade correctly — distribution records referencing the member must be anonymised, not deleted, to preserve the compliance audit trail.
---
### US-003: Record a Distribution
**As a** Club Admin, **I want to** record each cannabis distribution to a member, **so that** every handout is documented as required by §26 CanG and the member's consumption is tracked.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can log a distribution by selecting: member (search/autocomplete), strain, weight in grams (decimal, e.g. 3.5g), batch, date and time
- [ ] AC2: System pre-fills date/time with current timestamp; admin can override
- [ ] AC3: If the distribution would cause the member to exceed their daily limit (25g), the system displays a prominent warning and requires explicit override confirmation
- [ ] AC4: If the distribution would cause the member to exceed their monthly limit (50g adult / 30g restricted), the system **blocks** the entry and displays the reason
- [ ] AC5: For restricted members (§23), system additionally validates that the selected strain's THC percentage is ≤ 10% (if THC% is recorded on the batch)
- [ ] AC6: Successfully saved distributions appear immediately in the distribution log and update the member's monthly counter
- [ ] AC7: Distribution records are immutable after creation — admin can only add a correction note, not edit the original record
**Notes:** Immutability (AC7) is essential for audit integrity. Correction notes are the appropriate mechanism for errors.
---
### US-004: View and Enforce Distribution Limits
**As a** Club Admin, **I want to** view each member's current distribution totals and remaining quota, **so that** I can verify limits at a glance before and after recording distributions.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Each member's detail view shows: distributions this month (total grams), daily total for today, remaining monthly quota, and limit category (Adult 50g / Restricted 30g)
- [ ] AC2: Remaining quota is displayed as a progress bar (visual indicator of how close to the limit)
- [ ] AC3: Members who have reached or exceeded their monthly limit are visually flagged in the member list (e.g., red badge)
- [ ] AC4: Members who have consumed > 80% of their monthly limit show a warning indicator (e.g., amber badge)
- [ ] AC5: Monthly counters reset automatically on the first of each calendar month
- [ ] AC6: System applies §22 limits (50g/month, 25g/day) for adults and §23 limits (30g/month) for restricted members — these cannot be changed by the admin
**Notes:** The limits in AC6 are statutory and must be hardcoded, not configurable per club.
---
### US-005: Manage Stock (Strains, Quantities, Batches)
**As a** Club Admin, **I want to** manage my club's cannabis stock including strains, batch information, and quantities, **so that** I know what is available for distribution and can track batch provenance for contamination purposes.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can create a strain with: name, THC% (optional), CBD% (optional), variety type (Indica/Sativa/Hybrid)
- [ ] AC2: Admin can create a batch linked to a strain with: batch ID (auto-generated), quantity in grams, harvest date (optional), grow cycle reference (optional)
- [ ] AC3: Each distribution recorded reduces the associated batch's available quantity
- [ ] AC4: Admin can manually adjust stock quantity with a reason note (e.g., "lab sample", "disposal")
- [ ] AC5: Admin is warned (but not blocked) when a batch's available quantity drops below a configurable threshold (default: 100g)
- [ ] AC6: Stock overview page shows all active batches with: strain name, batch ID, quantity available, quantity distributed to date
- [ ] AC7: Depleted batches (quantity = 0) are automatically moved to an "archived" view
**Notes:** Batch tracking is required for contamination recall (US-009). The batch ID must be immutable once created.
---
### US-006: View Admin Dashboard
**As a** Club Admin, **I want to** see a summary dashboard when I log in, **so that** I have an at-a-glance overview of club activity and can identify anything requiring attention.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Dashboard displays: total active members, members at/near their monthly limit (count), total distributions this calendar month (grams), active stock level (total grams across all batches)
- [ ] AC2: Dashboard shows a count of members in the "restricted §23" category separately
- [ ] AC3: Dashboard highlights any batches flagged as contaminated (contamination alert count)
- [ ] AC4: Dashboard includes a recent activity feed (last 10 distributions: member name, strain, weight, time)
- [ ] AC5: All dashboard data reflects the admin's own club only — never cross-tenant data
- [ ] AC6: Dashboard loads in < 3 seconds on Hetzner VPS hardware
**Notes:** Keep the dashboard simple for MVP — a single page with widgets. No charts required for v1.
---
### US-007: Export Monthly Compliance Report (PDF + CSV)
**As a** Club Admin, **I want to** export a monthly compliance report as PDF and CSV, **so that** I can fulfil my documentation and reporting obligations under §26 CanG.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can select any calendar month/year and generate a compliance report
- [ ] AC2: PDF report contains: club name, reporting period, total distributions (count and weight), distribution detail table (member ID, strain, batch, weight, date/time), stock summary
- [ ] AC3: Member names in the PDF are replaced with member IDs to minimise PII exposure in the report document (actual name lookup available to the club separately)
- [ ] AC4: CSV export contains full distribution log for the selected period with headers: member_id, strain, batch_id, weight_g, distribution_date, distribution_time
- [ ] AC5: PDF is generated server-side using iText 7 (no client-side rendering dependency)
- [ ] AC6: Export completes in < 10 seconds for a month with up to 5,000 distribution records
- [ ] AC7: Generated reports are not stored on the server — they are streamed directly to the browser as a download
**Notes:** Not storing reports (AC7) reduces data exposure risk. The club is responsible for retaining their own copies.
---
### US-008: Export Member List for Inspections
**As a** Club Admin, **I want to** export the current member list, **so that** I can present it to authorities during an inspection as required by law.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can export the active member list as PDF and CSV at any time
- [ ] AC2: Export includes: member ID, full name, date of birth, age category (Adult/Restricted §23), membership start date, current membership status
- [ ] AC3: Export is timestamped with the generation date/time in the document
- [ ] AC4: Admin is shown a DSGVO reminder before downloading (this document contains personal data — handle per your privacy obligations)
- [ ] AC5: Export includes the club name and address in the header
- [ ] AC6: Only active members are included by default; admin can optionally include deactivated members
**Notes:** This document contains significant PII. The DSGVO reminder (AC4) is important to keep admins legally aware.
---
### US-009: Trigger Contamination Alert for a Batch
**As a** Club Admin, **I want to** flag a batch as contaminated and immediately see all members who received from it, **so that** I can notify affected members and fulfil my contamination traceability obligations under CanG.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can mark any batch as "contaminated" with a reason note and timestamp
- [ ] AC2: Immediately upon flagging, system displays a list of all members who received distributions from the contaminated batch (name, member ID, total grams received, dates received)
- [ ] AC3: Contaminated batches are removed from the active distribution interface — admin cannot select them for new distributions
- [ ] AC4: The dashboard shows a contamination alert badge whenever any active batch is flagged
- [ ] AC5: Admin can export the affected member list as PDF and CSV (for authority notification)
- [ ] AC6: Contamination status is immutable — once flagged, only a senior action (with confirmation) can reverse it; reversal is logged with reason
**Notes:** Contamination traceability is explicitly required by CanG. Response speed matters — the affected member list (AC2) must display without delay.
---
### US-010: Manage Prevention Officer Information
**As a** Club Admin, **I want to** record and update Prevention Officer (Präventionsbeauftragter) information, **so that** my club meets the mandatory requirement of §27 CanG.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Club profile includes a Prevention Officer section with fields: full name, contact email, contact phone, designation date
- [ ] AC2: All four fields are required — the system warns if any is empty and marks the section as incomplete
- [ ] AC3: Admin can update the Prevention Officer at any time; previous officer entries are retained in a change log (name, designation period)
- [ ] AC4: The compliance report export (US-007) includes the current Prevention Officer name and contact in its header
- [ ] AC5: Setup wizard (US-001) cannot be completed without entering Prevention Officer information
**Notes:** This is a statutory requirement, not optional. AC5 enforces that clubs cannot operate on the platform without this data.
---
### Member Portal Stories
---
### US-011: Login with Club-Issued Credentials
**As a** Club Member, **I want to** log in to the member portal using credentials issued by my club, **so that** I can access my personal information without the club admin needing to be present.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Admin can generate login credentials (username + temporary password) for a member from the member management screen
- [ ] AC2: Member receives credentials via a secure channel (displayed to admin for manual handoff in MVP; email in v2)
- [ ] AC3: Member is required to change their temporary password on first login
- [ ] AC4: Member login is scoped to their club only — they cannot access any other club's data or member list
- [ ] AC5: Failed login attempts are rate-limited (5 attempts, then 15-minute lockout)
- [ ] AC6: Member sessions expire after 24 hours of inactivity
- [ ] AC7: Members cannot register themselves — accounts are always created by the Club Admin
**Notes:** AC7 is critical for CanG compliance — only verified, age-checked members should have portal access.
---
### US-012: View Personal Distribution History
**As a** Club Member, **I want to** view my personal distribution history, **so that** I can track what I have received from the club.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Member can view all their distributions in reverse chronological order: date/time, strain, weight (grams), batch ID
- [ ] AC2: Current calendar month distributions are shown first, with a clear monthly subtotal
- [ ] AC3: Member can filter history by month/year
- [ ] AC4: Member sees only their own distribution history — no other member's data is accessible
- [ ] AC5: History is read-only — members cannot edit or delete distribution records
---
### US-013: View Current Stock Availability
**As a** Club Member, **I want to** see what strains are currently available at the club, **so that** I know what I can request on my next visit.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Member portal shows a stock list with: strain name, variety type (Indica/Sativa/Hybrid), THC% (if recorded), availability status (Available / Low Stock / Unavailable)
- [ ] AC2: Exact batch quantities are NOT shown to members — only availability status
- [ ] AC3: Only strains with available stock (quantity > 0) are shown as "Available"
- [ ] AC4: Strains with stock below the admin-configured low-stock threshold are shown as "Low Stock"
- [ ] AC5: For restricted members (§23 CanG), strains with THC > 10% are shown with a "Not available to you" indicator rather than hidden (transparency about why)
- [ ] AC6: Stock view is refreshed in real time — no stale cache longer than 5 minutes
**Notes:** AC2 is important — showing exact quantities could constitute advertising for the club's stock. Only availability status is shown.
---
### US-014: View Remaining Monthly Quota
**As a** Club Member, **I want to** see my remaining monthly quota, **so that** I can plan my distributions and stay within my legal limits.
**Priority:** Must Have
**Acceptance Criteria:**
- [ ] AC1: Member portal homepage prominently displays: consumed this month (grams), remaining quota (grams), monthly limit (grams), days remaining in current month
- [ ] AC2: Quota is displayed as a progress bar with colour coding: green (< 50% used), amber (5080% used), red (> 80% used)
- [ ] AC3: Members in the restricted §23 category see their 30g/month limit (not the 50g adult limit)
- [ ] AC4: Daily limit status is also visible: consumed today (grams) vs. 25g daily cap
- [ ] AC5: Quota resets display on the first of each calendar month — confirmed visually (e.g., "Resets in X days")
---
## Should Have — v2
---
### US-015: Process Membership Fee Payments via Stripe
**As a** Club Admin, **I want to** collect membership fees from members via Stripe, **so that** fee collection is automated and documented without manual bank transfers.
**Priority:** Should Have
**Acceptance Criteria:**
- [ ] AC1: Admin can configure an annual membership fee amount for their club
- [ ] AC2: Members can pay via Stripe-hosted checkout (card payment)
- [ ] AC3: Stripe subscription or one-time payment for annual fee — admin configures which model
- [ ] AC4: Payment confirmation is logged against the member record with date and amount
- [ ] AC5: Admin can view payment status per member (paid / pending / overdue)
- [ ] AC6: No cannabis product payments are ever processed through this system — fee is for club membership only
**Notes:** Stripe position: membership fees for registered non-profit clubs (Vereinsbeiträge) are standard use case. AC6 must be enforced at system design level.
---
### US-016: Manage Automated Waiting List
**As a** Club Admin, **I want to** manage a waiting list for new membership applicants, **so that** I can process applications in order while respecting the club's maximum membership count.
**Priority:** Should Have
**Acceptance Criteria:**
- [ ] AC1: Admin can set a maximum member count for the club (from setup wizard or settings)
- [ ] AC2: When member count reaches maximum, new applicants are added to a waiting list with timestamp
- [ ] AC3: Waiting list is FIFO — applicants are offered membership in order of application
- [ ] AC4: Admin can notify the next waiting list applicant (email notification — v2 dependency)
- [ ] AC5: Admin can remove applicants from the waiting list
- [ ] AC6: Waiting list count is visible on the admin dashboard
---
### US-017: Receive Email and SMS Notifications
**As a** Club Member, **I want to** receive email (and optionally SMS) notifications for key events, **so that** I am informed without needing to log in to the portal.
**Priority:** Should Have
**Acceptance Criteria:**
- [ ] AC1: Member receives email notification when their distribution is recorded by the admin
- [ ] AC2: Member receives email when their monthly quota reaches 80% consumed
- [ ] AC3: Member receives email when a batch they received from is flagged as contaminated
- [ ] AC4: Admin receives email when any member's quota is exceeded (should not happen, but safety net)
- [ ] AC5: SMS notifications are optional and require member opt-in; email is default
- [ ] AC6: All notification emails are sent in German (language is not configurable in v2)
- [ ] AC7: Members can manage notification preferences (opt out of non-mandatory notifications)
---
### US-018: Track Multi-Strain Grow Cycles
**As a** Club Admin, **I want to** track grow cycles linked to batches, **so that** I have full provenance from grow start to distribution.
**Priority:** Should Have
**Acceptance Criteria:**
- [ ] AC1: Admin can create a grow cycle with: cycle ID, strain, start date, expected harvest date, grow area (optional), notes
- [ ] AC2: Batches can be linked to a grow cycle
- [ ] AC3: Grow cycle view shows: all batches produced, total yield, grow duration
- [ ] AC4: Closed grow cycles (harvest complete) are archived but remain searchable
- [ ] AC5: Grow cycle data is included in the monthly compliance report (batch provenance section)
---
## Could Have — v3
---
### US-019: Access Mobile PWA
**As a** Club Member, **I want to** use CannaManage on my smartphone without installing an app, **so that** I can check my quota and stock on the go.
**Priority:** Could Have
**Acceptance Criteria:**
- [ ] AC1: The member portal is fully responsive and usable on mobile viewport sizes (320px and up)
- [ ] AC2: The app can be added to the home screen (PWA manifest, service worker, offline cache for quota display)
- [ ] AC3: Core member portal features (quota, distribution history, stock view) work in offline mode with cached data
- [ ] AC4: Admin portal is also responsive (admin-on-the-go distribution logging)
- [ ] AC5: No app store submission required — pure PWA
---
### US-020: Support Multi-Location Club
**As a** Club Admin, **I want to** manage a club with multiple distribution locations, **so that** members can pick up from different sites and all distributions are consolidated.
**Priority:** Could Have
**Acceptance Criteria:**
- [ ] AC1: Admin can define multiple locations (name, address) for one club
- [ ] AC2: Distributions are recorded with a location tag
- [ ] AC3: Stock is managed per location or shared — admin configures which model
- [ ] AC4: Compliance reports can be generated per location or consolidated for the whole club
- [ ] AC5: Members are assigned a primary location but can receive from any location within quota limits
---
### US-021: Download Legal Document Templates
**As a** Club Admin, **I want to** download standardised legal document templates (Satzung, Jugendschutzkonzept), **so that** I can fulfil my legal obligations without hiring a lawyer for every document.
**Priority:** Could Have
**Acceptance Criteria:**
- [ ] AC1: Template library is accessible from the admin portal (separate from compliance exports)
- [ ] AC2: Available templates include: Vereinssatzung (club charter), Jugendschutzkonzept (youth protection concept), DSGVO Datenschutzerklärung
- [ ] AC3: Templates are pre-filled with club-specific data (name, address, Prevention Officer) where applicable
- [ ] AC4: Templates are available as DOCX (editable) and PDF (final version)
- [ ] AC5: Template library is a paid add-on (€49 one-time or included in Professional/Enterprise plan)
---
### US-022: Integrate with Authority Reporting Portals
**As a** Club Admin, **I want to** submit compliance reports directly to authority portals via CannaManage, **so that** I save time and avoid transcription errors in authority submissions.
**Priority:** Could Have
**Acceptance Criteria:**
- [ ] AC1: System can detect available authority portals by Bundesland (state)
- [ ] AC2: Admin can initiate a report submission from within CannaManage
- [ ] AC3: Submission status is tracked (submitted, acknowledged, rejected) per report
- [ ] AC4: System retries failed submissions automatically (up to 3 times)
- [ ] AC5: This feature is only activated once at least one Bundesland has a machine-readable submission portal
**Notes:** Authority portals may not exist in v3 timeline — this is aspirational and depends on government digitalisation progress.
---
## Won't Have — MVP (Explicitly Excluded)
---
### US-023: Public Club Discovery — "Find Clubs Near You"
**As a** Public User, I want to find cannabis clubs near my location.
**Priority:** Won't Have (MVP)
**Reason:** **Explicitly illegal under CanG §§67.** The advertising and sponsoring ban covers any feature that functions as advertising for Anbauvereinigungen to the general public. A public club directory constitutes advertising for clubs. This feature will never be built in any form on this platform.
**Acceptance Criteria:** *None — this feature is permanently excluded.*
**Notes:** This is not a commercial decision. It is a **legal constraint** hardcoded into the product architecture. No public-facing club listing, no map, no search, no "register your club publicly."
---
### US-024: Cannabis E-Commerce or Payment for Cannabis Products
**As a** Club Member, I want to purchase cannabis through the CannaManage platform.
**Priority:** Won't Have (MVP)
**Reason:** **Illegal.** Cannabis sales are not the legal model for Anbauvereinigungen under CanG. Payment for cannabis products would violate German law and immediately trigger Stripe account termination. CannaManage processes membership fee payments only — not cannabis product payments, ever.
**Acceptance Criteria:** *None — permanently excluded.*
---
### US-025: Non-EU Data Storage
**As a** Club Admin, I want my club's data stored on the cheapest/fastest infrastructure, including non-EU servers.
**Priority:** Won't Have (MVP)
**Reason:** **DSGVO violation.** Club member data includes personal data (name, date of birth, consumption records). Storing this outside the EU without a valid adequacy decision or standard contractual clauses violates Art. 4449 DSGVO. All data remains on Hetzner DE datacenters.
**Acceptance Criteria:** *None — permanently excluded.*
---
## Acceptance Criteria Traceability Matrix
| Story | Role | Phase | Legal Basis | Key Risk |
|-------|------|-------|-------------|----------|
| US-001 | Club Admin | MVP | DSGVO (AVV) | Clubs operating without AVV |
| US-002 | Club Admin | MVP | §2223 CanG | Under-21 age verification gaps |
| US-003 | Club Admin | MVP | §26 CanG | Distribution limit bypass |
| US-004 | Club Admin | MVP | §2223 CanG | Incorrect limit category applied |
| US-005 | Club Admin | MVP | §26 CanG (batch traceability) | Inaccurate stock → wrong quota available |
| US-006 | Club Admin | MVP | — | Cross-tenant data leak |
| US-007 | Club Admin | MVP | §26 CanG | Incomplete report → authority rejection |
| US-008 | Club Admin | MVP | §26 CanG | Outdated member list at inspection |
| US-009 | Club Admin | MVP | CanG (contamination traceability) | Delayed recall notification |
| US-010 | Club Admin | MVP | §27 CanG | Missing officer → club licence risk |
| US-011 | Club Member | MVP | DSGVO | Unauthorised member account creation |
| US-012 | Club Member | MVP | DSGVO (Art. 15 access) | Cross-member data exposure |
| US-013 | Club Member | MVP | §§67 CanG (no advertising) | Over-disclosure of stock data |
| US-014 | Club Member | MVP | §2223 CanG | Member unaware of impending limit breach |
| US-015 | Club Admin | v2 | — | Stripe cannabis-adjacent policy |
| US-016 | Club Admin | v2 | — | Waiting list ordering errors |
| US-017 | Club Member | v2 | DSGVO (email marketing consent) | Spam / opt-out compliance |
| US-018 | Club Admin | v2 | §26 CanG (provenance) | Batch-grow linkage gaps |
| US-019 | Club Member | v3 | — | Offline cache staleness |
| US-020 | Club Admin | v3 | — | Stock isolation complexity |
| US-021 | Club Admin | v3 | — | Template legal accuracy |
| US-022 | Club Admin | v3 | §26 CanG | Portal API non-existence |
| US-023 | *(none)* | Never | **Illegal §§67 CanG** | Platform shutdown risk |
| US-024 | *(none)* | Never | **Illegal** | Stripe termination + criminal liability |
| US-025 | *(none)* | Never | **DSGVO Art. 4449** | Regulatory fine + club data breach |
---
## Could Have — v2 (Additions)
### US-026: Staff Member Management
**As a** Club Admin, **I want to** create staff accounts with configurable permissions, **so that** my team members can do their work without having access to data they don't need (DSGVO principle of least privilege).
**Priority:** Must Have (upgraded from Could Have — see note)
**Acceptance Criteria:**
- [ ] AC1: Admin can create staff accounts with email + temporary password
- [ ] AC2: Admin assigns permissions per staff account from a defined permission set (`RECORD_DISTRIBUTION`, `VIEW_MEMBER_LIST`, `VIEW_MEMBER_QUOTA`, `ADD_MEMBER`, `VIEW_STOCK`, `RECORD_STOCK_IN`, `VIEW_COMPLIANCE_REPORT`, `MANAGE_GROW_CALENDAR`)
- [ ] AC3: Pre-created role templates available: **Ausgabe** (distribution desk), **Lager** (stock/cultivation), **Vorstand** (board member)
- [ ] AC4: Staff accounts cannot access billing, club settings, or staff management
- [ ] AC5: All distributions recorded by staff include `recorded_by = staffUserId` in audit trail
- [ ] AC6: Admin can deactivate a staff account; historical data is retained for audit purposes
- [ ] AC7: Staff member sees only the navigation sections permitted by their granted permissions
> **Note:** Promoted to core / Must Have. Staff management is not a v2 feature — clubs have multiple people involved from day one. DSGVO requires that each person only accesses data relevant to their function. Designing this post-MVP would require schema, API, and permission model rework.
---
### US-027: Grow Calendar
**As a** Club Admin or authorised staff member, **I want to** maintain a cultivation calendar for each grow cycle, **so that** the club has a central record of what was planted, when to expect harvest, and the grow diary with notes and photos.
**Priority:** Could Have (v2)
**Acceptance Criteria:**
- [ ] AC1: Admin/staff can create a grow entry with: strain name, planted date, expected harvest date, grow medium, notes
- [ ] AC2: Grow entries are linked to a batch — when the harvest is registered as a batch, the grow entry is marked as completed
- [ ] AC3: A grow diary allows adding timestamped notes and optional photos per grow entry
- [ ] AC4: Grow calendar view shows a visual timeline of active grow cycles (Gantt-style or calendar grid)
- [ ] AC5: Admin can set who has access to the grow calendar via staff permission `MANAGE_GROW_CALENDAR`
- [ ] AC6: Photos are stored per-tenant and never exposed to members or other tenants
**Notes:** The grow calendar bridges cultivation management and compliance — it provides provenance traceability from seed/clone to distributed batch. This directly supports §26 CanG batch traceability requirements for the origin of cultivated product. Photo attachments are a nice-to-have within this story; the core diary functionality is the v2 deliverable.
---
*Source: [STRATEGY.md](../STRATEGY.md) | Related: [01-PROJECT-CHARTER.md](./01-PROJECT-CHARTER.md)*
@@ -0,0 +1,550 @@
# 03 — System Architecture
**Project:** CannaManage — B2B SaaS for German Cannabis Social Clubs (Anbauvereinigungen)
**Phase:** 2 of 5 — Architecture & Data Model
**Stack:** Spring Boot 3.x (Java 21) · JPA/Hibernate · PostgreSQL · React/Vite (MVP) → Next.js v2
**Last updated:** 2026-04-06
---
## 1. Architecture Overview
```mermaid
graph TD
AdminBrowser["🖥️ Browser — Admin Portal"]
MemberBrowser["🖥️ Browser — Member Portal"]
Frontend["React/Vite Frontend\n(SPA — served by Nginx)"]
AdminBrowser -->|HTTPS| Frontend
MemberBrowser -->|HTTPS| Frontend
Frontend -->|REST/JSON| Backend
subgraph Backend ["☕ Spring Boot 3.x Application (Java 21)"]
REST["REST API Layer\n/api/v1/"]
Service["Service Layer\n(ComplianceService, ReportService…)"]
JPA["JPA / Hibernate\nRepositories"]
Security["Spring Security + JWT\nTenant Interceptor"]
REST --> Service
Service --> JPA
Security --> REST
end
JPA -->|JDBC| PG[("🐘 PostgreSQL 16\nmulti-tenant via tenant_id")]
Backend -->|Stripe Java SDK| Stripe["💳 Stripe\n(payment processing)"]
Backend -->|Jakarta Mail| Mail["📧 Jakarta Mail\n(email notifications)"]
Backend -->|iText 7| PDF["📄 iText 7\n(PDF report generation)"]
Flyway["🔄 Flyway\n(DB migrations)"] -->|applies migrations| PG
subgraph Hetzner ["🖧 Hetzner VPS — Docker Compose"]
Backend
PG
Nginx["🔒 Nginx\n(reverse proxy + TLS)"]
end
Frontend --> Nginx
Nginx --> Backend
```
### Component Responsibilities
| Component | Technology | Role |
|---|---|---|
| Admin Portal | React/Vite SPA (→ Next.js v2) | Club management UI |
| Member Portal | React/Vite SPA (→ Next.js v2) | Member quota & history UI |
| REST API | Spring Boot 3.x / Spring MVC | All business logic endpoints |
| Auth | Spring Security 6 + JJWT | Stateless JWT authentication |
| ORM | JPA / Hibernate 6 | Entity persistence, tenant filtering |
| Database | PostgreSQL 16 | Primary data store (multi-tenant) |
| Migrations | Flyway | Versioned schema management |
| Payments | Stripe Java SDK | Club subscription billing |
| Email | Jakarta Mail / Spring Mail | Welcome emails, recall alerts |
| PDF | iText 7 | Compliance report generation |
| Hosting | Hetzner CX21 VPS + Docker Compose | Production deployment |
---
## 2. Multi-Tenancy Strategy
### Decision: Schema-Per-Tenant
Each club gets its own PostgreSQL schema (e.g. `tenant_abc123`). A platform-level `public` schema holds only the `tenants` registry. Flyway runs per-schema migrations on onboarding.
**Why schema-per-tenant, not shared schema?**
A shared-schema approach (single table with `tenant_id` on every row) is operationally convenient in the short term but creates serious problems at scale:
| Concern | Shared Schema | Schema-Per-Tenant |
|---|---|---|
| Data isolation | Application-layer only — one missing filter = data leak | Enforced at DB level — schemas are hard boundaries |
| DSGVO compliance | Harder to prove isolation; one backup contains all clubs' data | Per-tenant pg_dump; each club's data is cleanly separable |
| Deletion / right to erasure | Must `DELETE WHERE tenant_id = ?` across every table | `DROP SCHEMA tenant_abc123 CASCADE` — clean and auditable |
| Migrations | One migration path for all | Per-schema migration via Flyway `schemas` config; adds ~100ms per onboard |
| Query performance | Cross-tenant index bloat on large shared tables | Smaller per-tenant tables; no cross-tenant contention |
| Future per-club DB isolation | Requires full re-architecture | Trivial: move schema to dedicated DB server |
| Operational overhead | Lower — one connection pool | Slightly higher — one pool per tenant (managed by HikariCP with pool-per-schema) |
**Conclusion:** The shared-schema "MVP convenience" argument only holds for throwaway prototypes. For a compliance SaaS handling personal health-adjacent data (cannabis consumption records), schema-per-tenant is the correct design from Day 1. The migration complexity is manageable; the data isolation benefit is permanent.
### Tenant Provisioning
When a new club onboards:
```
POST /api/v1/admin/bootstrap
→ TenantProvisioningService.provisionTenant(tenantId)
→ CREATE SCHEMA tenant_{tenantId}
→ Flyway.migrate(schema=tenant_{tenantId}) // applies all V*.sql
→ INSERT INTO public.tenants (id, schema_name, onboarded_at, status)
```
### Tenant Resolution
```
HTTP Request
└─ Spring Security Filter: extract JWT → resolve tenant_id
└─ TenantContext.setCurrentTenant(tenantId) // ThreadLocal
└─ DataSource routes to schema: SET search_path = tenant_{tenantId}
└─ All queries execute in tenant's private schema
```
### Tenant Resolution
```
HTTP Request
└─ Spring Security Filter: extract JWT → resolve tenant_id
└─ TenantContext.setCurrentTenant(tenantId) // ThreadLocal
└─ JPA @Where filter applied on every entity query
```
### Code Pattern — Schema Routing DataSource
```java
// TenantRoutingDataSource.java (pseudocode)
public class TenantRoutingDataSource extends AbstractRoutingDataSource {
@Override
protected Object determineCurrentLookupKey() {
return TenantContext.getCurrentTenant(); // returns tenant schema name
}
}
```
```java
// TenantInterceptor.java (pseudocode)
@Component
public class TenantInterceptor implements HandlerInterceptor {
@Override
public boolean preHandle(HttpServletRequest req, ...) {
String tenantId = JwtUtils.extractTenantId(req);
TenantContext.setCurrentTenant("tenant_" + tenantId);
return true;
}
}
```
**Invariants enforced:**
- Every incoming request resolves its schema before any query runs
- No entity has a `tenant_id` column — schema isolation replaces row-level filtering
- Raw JDBC queries must be avoided; all access goes through JPA repositories with schema routing
- The `public` schema contains only the tenants registry and platform-level config
---
## 3. Authentication & Authorization
### JWT Token Flow
- **Access token:** 8-hour expiry, signed HS256, contains `sub` (userId), `role`, `tenantId`
- **Refresh token:** 30-day expiry, stored in `users.refresh_token_hash` (hashed)
- **Stateless:** No server-side session. JWT is verified on every request by `JwtAuthFilter`
### Roles
| Role | Description | Access |
|---|---|---|
| `ROLE_CLUB_ADMIN` | Club administrator | Full club management, all members, reports, distributions, staff management |
| `ROLE_STAFF` | Club staff member | Configurable subset of admin permissions — defined per staff account by the admin |
| `ROLE_MEMBER` | Club member | Own quota, own distribution history (read-only) |
| `ROLE_PREVENTION_OFFICER` | Designated prevention officer | Member under-21 reports, prevention data |
> **Staff is a core feature, not an add-on.** Real clubs have multiple staff members (front desk, cultivation responsible, prevention officer designate) with different operational responsibilities. DSGVO requires that each staff member can only access data they need for their specific role. The `ROLE_STAFF` with configurable permission grants from the admin is designed from Phase 0 — retrofitting it later would require schema and API changes.
### Staff Permission Model
Admins configure staff permissions at account creation. Permissions are stored as a `JSONB` column `granted_permissions` on the `staff_accounts` table within the tenant schema.
```java
// Configurable staff permissions (granted by admin per staff account)
public enum StaffPermission {
RECORD_DISTRIBUTION, // can record distributions
VIEW_MEMBER_LIST, // can view member roster
VIEW_MEMBER_QUOTA, // can view individual member quota
ADD_MEMBER, // can register new members
VIEW_STOCK, // can view batch/strain inventory
RECORD_STOCK_IN, // can add new batches
VIEW_COMPLIANCE_REPORT, // can generate/download reports
MANAGE_GROW_CALENDAR // can manage cultivation calendar entries
}
```
Pre-created role templates (configurable by admin):
- **Ausgabe** (Distribution desk): `RECORD_DISTRIBUTION`, `VIEW_MEMBER_LIST`, `VIEW_MEMBER_QUOTA`
- **Lager** (Stock/cultivation): `VIEW_STOCK`, `RECORD_STOCK_IN`, `MANAGE_GROW_CALENDAR`
- **Vorstand** (Board member): all permissions except staff management
### Service-Layer Authorization Example
```java
@Service
public class DistributionService {
@PreAuthorize("hasRole('CLUB_ADMIN')")
public Distribution recordDistribution(RecordDistributionRequest req) { ... }
@PreAuthorize("hasRole('MEMBER') and #memberId == authentication.principal.memberId")
public QuotaStatus getMyQuota(UUID memberId) { ... }
@PreAuthorize("hasAnyRole('CLUB_ADMIN', 'PREVENTION_OFFICER')")
public List<Member> getUnder21Members() { ... }
}
```
### Member Login Sequence
```mermaid
sequenceDiagram
participant B as Browser
participant API as Spring Boot /api/v1/auth/login
participant DB as PostgreSQL (users table)
participant JWT as JwtService
B->>API: POST /api/v1/auth/login {email, password}
API->>DB: SELECT * FROM users WHERE email = ? AND active = true
DB-->>API: UserEntity (password_hash, role, tenant_id, member_id)
API->>API: BCrypt.verify(password, password_hash)
alt Invalid credentials
API-->>B: 401 Unauthorized
else Valid
API->>JWT: generateAccessToken(userId, role, tenantId) → 8h
API->>JWT: generateRefreshToken(userId) → 30d
API->>DB: UPDATE users SET refresh_token_hash = ?, last_login = NOW()
DB-->>API: OK
JWT-->>API: accessToken, refreshToken
API-->>B: 200 { accessToken, refreshToken, expiresIn: 28800 }
end
```
---
## 4. Data Model (JPA Entities)
### Entity-Relationship Diagram
```mermaid
erDiagram
Club {
UUID id PK
UUID tenant_id
string name
string address
string license_number
int max_members
timestamp created_at
enum status
}
Member {
UUID id PK
UUID tenant_id
UUID club_id FK
string first_name
string last_name
string email
date date_of_birth
date membership_date
string membership_number
enum status
boolean is_under_21
boolean prevention_officer
}
Strain {
UUID id PK
UUID tenant_id
string name
decimal thc_percentage
decimal cbd_percentage
string description
}
Batch {
UUID id PK
UUID tenant_id
UUID strain_id FK
decimal quantity_grams
date harvest_date
string batch_code
enum status
boolean contamination_flag
}
Distribution {
UUID id PK
UUID tenant_id
UUID member_id FK
UUID batch_id FK
decimal quantity_grams
timestamp distributed_at
UUID recorded_by FK
string notes
boolean immutable
}
MonthlyQuota {
UUID id PK
UUID tenant_id
UUID member_id FK
int year
int month
decimal total_distributed
decimal max_allowed
}
StockMovement {
UUID id PK
UUID tenant_id
UUID batch_id FK
enum movement_type
decimal quantity_grams
string reason
timestamp created_at
}
User {
UUID id PK
UUID tenant_id
UUID member_id FK
string email
string password_hash
enum role
timestamp last_login
boolean active
}
Club ||--o{ Member : "has members"
Member ||--o{ Distribution : "receives"
Member ||--o{ MonthlyQuota : "has quota per month"
Member ||--o| User : "may have login"
Strain ||--o{ Batch : "cultivated as"
Batch ||--o{ Distribution : "distributed via"
Batch ||--o{ StockMovement : "tracked in"
Member ||--o{ Distribution : "recorded_by (admin)"
```
### Relationship Notes
| Relationship | Cardinality | Notes |
|---|---|---|
| Club → Member | 1:N | `member.club_id` FK; max enforced by `Club.max_members` |
| Member → Distribution | 1:N | Each distribution targets one member |
| Member → MonthlyQuota | 1:N | One row per `(member_id, year, month)` — UNIQUE constraint |
| Member → User | 1:0..1 | A member may have a portal login; admins may have no `member_id` |
| Strain → Batch | 1:N | Each batch is one strain; a strain can have many batches |
| Batch → Distribution | 1:N | A batch can supply many distributions |
| Batch → StockMovement | 1:N | Every IN/OUT/RECALL against a batch is journaled |
| Distribution.recorded_by → Member | N:1 | The admin who recorded it (audit trail) |
### Key Constraints
- `Distribution.immutable = true` by default — records are append-only; no UPDATE/DELETE allowed via API
- `MonthlyQuota` has `UNIQUE(member_id, year, month)` — enforced at DB level
- `Batch.contamination_flag` triggers recall workflow; `Batch.status = RECALLED` is the final state
- All `tenant_id` columns: `NOT NULL`, `updatable = false`, set via `@PrePersist`
- `Member.is_under_21` is derived from `date_of_birth` at registration and re-evaluated on birthday (scheduled job)
---
## 5. API Layer Design
### Base Path: `/api/v1/`
All endpoints are RESTful. JSON request/response bodies. JWT Bearer token required on all except `/auth/**`.
| Controller | Base Path | Key Endpoints |
|---|---|---|
| `AuthController` | `/api/v1/auth` | `POST /login`, `POST /refresh`, `POST /logout` |
| `ClubController` | `/api/v1/clubs` | `GET /`, `POST /`, `GET /{id}`, `PUT /{id}` |
| `MemberController` | `/api/v1/members` | `GET /`, `POST /`, `GET /{id}`, `PUT /{id}/status`, `GET /me/quota` |
| `DistributionController` | `/api/v1/distributions` | `POST /`, `GET /?memberId=&month=&year=` |
| `StockController` | `/api/v1/stock` | `GET /batches`, `POST /batches`, `POST /batches/{id}/recall` |
| `ReportController` | `/api/v1/reports` | `GET /monthly?month=&year=` (PDF + CSV), `GET /members/{id}/history` |
| `QuotaController` | `/api/v1/quota` | `GET /members/{id}/current`, `GET /members/{id}/history` |
### Standard HTTP conventions
- `201 Created` + `Location` header on resource creation
- `400 Bad Request` with `{ error, message, field? }` on validation failure
- `403 Forbidden` when role/tenant check fails
- `422 Unprocessable Entity` when compliance limits are breached (quota exceeded)
- Pagination: `?page=0&size=20&sort=field,asc`
---
## 6. Compliance Engine
The `ComplianceService` is the heart of regulatory enforcement. It is called synchronously before every distribution is persisted. All operations run in a single `@Transactional` block with optimistic locking to prevent race conditions under concurrent distribution recording.
```java
@Service
@Transactional
public class ComplianceService {
/**
* Validates whether a distribution is legally permitted.
*
* Checks:
* 1. Member is ACTIVE (not SUSPENDED or EXPELLED)
* 2. Daily limit: total distributed today + requestedGrams ≤ 25g
* 3. Monthly limit: MonthlyQuota.total_distributed + requestedGrams ≤ max_allowed
* where max_allowed = 30g (under-21) or 50g (adult)
* 4. Batch is AVAILABLE (not RECALLED or EXHAUSTED)
* 5. Batch has sufficient stock
*
* @throws ComplianceLimitExceededException with remaining quota details
* @throws MemberIneligibleException if member is not ACTIVE
* @throws BatchUnavailableException if batch is recalled or exhausted
*/
public ComplianceCheckResult checkDistributionAllowed(
UUID memberId, UUID batchId, BigDecimal quantityGrams) { ... }
/**
* Returns remaining quota for the current calendar month.
* Creates a MonthlyQuota row if none exists (lazy initialization).
*
* @return QuotaStatus { totalAllowed, totalUsed, remaining, isUnder21 }
*/
public QuotaStatus getMonthlyRemaining(UUID memberId) { ... }
/**
* Flags a batch as RECALLED.
* Returns all members who received distributions from this batch
* so the caller can trigger notifications.
* Writes a StockMovement(RECALL) entry.
*
* @return List<AffectedMember> { memberId, name, email, totalReceived }
*/
public List<AffectedMember> recallBatch(UUID batchId) { ... }
}
```
### Race Condition Prevention
`MonthlyQuota` rows carry a JPA `@Version` column (optimistic locking). If two concurrent requests attempt to increment `total_distributed` simultaneously, one will receive an `OptimisticLockException` and must retry. The retry logic is handled by a `@Retryable` annotation (Spring Retry, max 3 attempts, 50ms backoff).
```java
@Entity
public class MonthlyQuota extends AbstractTenantEntity {
@Version
private Long version; // optimistic lock
// ... other fields
}
```
---
## 7. Infrastructure (Hetzner)
```mermaid
graph TD
Dev["👨‍💻 Developer (Fedora Workstation)"]
Gitea["🏠 Gitea (homelab)\n192.168.188.119:30008"]
Hetzner["☁️ Hetzner VPS CX21\n~€5.88/month"]
Dev -->|git push| Gitea
Gitea -->|SSH deploy script\n(webhook → deploy.sh)| Hetzner
subgraph Hetzner
Nginx["🔒 Nginx Container\n(reverse proxy + TLS/Let's Encrypt)"]
App["☕ cannamanage-app\n(Spring Boot JAR)"]
DB[("🐘 cannamanage-db\nPostgreSQL 16")]
Nginx -->|proxy_pass :8080| App
App -->|JDBC :5432| DB
end
Internet["🌍 Internet\nHTTPS :443"] -->|HTTPS| Nginx
```
### Docker Compose Services
```yaml
# docker-compose.yml (abbreviated)
services:
cannamanage-app:
image: cannamanage:latest
environment:
SPRING_DATASOURCE_URL: jdbc:postgresql://cannamanage-db:5432/cannamanage
JWT_SECRET: ${JWT_SECRET}
STRIPE_API_KEY: ${STRIPE_API_KEY}
depends_on: [cannamanage-db]
ports: ["127.0.0.1:8080:8080"]
cannamanage-db:
image: postgres:16-alpine
volumes: [pgdata:/var/lib/postgresql/data]
environment:
POSTGRES_DB: cannamanage
POSTGRES_PASSWORD: ${DB_PASSWORD}
cannamanage-nginx:
image: nginx:alpine
ports: ["443:443", "80:80"]
volumes:
- ./nginx.conf:/etc/nginx/conf.d/default.conf
- /etc/letsencrypt:/etc/letsencrypt:ro
```
### Hetzner Sizing
| Resource | Spec | Rationale |
|---|---|---|
| Server | CX21 (2 vCPU, 4GB RAM) | Sufficient for < 200 concurrent clubs at MVP |
| Storage | 40GB SSD (included) | PostgreSQL + logs; Hetzner Volumes for backups |
| Backups | Hetzner automated backups (20% surcharge) | Daily snapshot retention 7 days |
| Location | Falkenstein, Germany (FSN1) | DSGVO: data remains within Germany |
| TLS | Let's Encrypt via Certbot | Auto-renew via cron |
### Deployment Workflow
```
git push origin main
→ Gitea webhook fires
→ deploy.sh on Hetzner:
docker pull cannamanage:latest
docker compose up -d --no-deps cannamanage-app
# zero-downtime: Nginx buffers requests during restart
```
Flyway migrations run automatically on application startup (`spring.flyway.enabled=true`). Migration files live at `src/main/resources/db/migration/V*.sql`.
---
## 8. Key Design Decisions
| Decision | Choice | Rationale |
|---|---|---|
| Multi-tenancy | Schema-per-tenant | Hard data isolation, DSGVO-clean deletion, no cross-tenant query risk |
| Frontend MVP | React/Vite SPA | Modern stack; no JSF/PrimeFaces lock-in; easier to hire for; mobile-friendly from day 1 |
| Frontend v2 | Next.js | SSR/ISR for SEO on marketing pages; same React codebase |
| Auth | JWT (stateless) | No sticky sessions needed; horizontal scale ready |
| PDF generation | iText 7 | Mature Java library; handles complex compliance report layouts |
| Compliance enforcement | Service layer + DB constraint | Belt-and-suspenders: service validates, DB `UNIQUE` prevents duplicates |
| Distribution immutability | `immutable = true`, no DELETE API | Audit trail integrity for regulatory compliance |
| Hosting | Hetzner (Germany) | DSGVO compliance; low cost; German DC |
| Staff roles | Core feature from Phase 0 | DSGVO requires least-privilege access; retrofitting post-MVP too costly |
@@ -0,0 +1,229 @@
# 04 — Business Logic Flow Charts
**Project:** CannaManage — B2B SaaS for German Cannabis Social Clubs (Anbauvereinigungen)
**Phase:** 2 of 5 — Architecture & Data Model
**Last updated:** 2026-04-06
All flows are implemented in the Spring Boot service layer. Mermaid `flowchart TD` syntax.
---
## Flow 1: Distribution Recording
Records a cannabis distribution to a member. This is the most compliance-critical path in the system. Every step that can fail returns a user-facing error with actionable detail (remaining quota, batch status, etc.).
```mermaid
flowchart TD
START([🟢 Admin clicks\n'Record Distribution']) --> SEL_MEMBER[Select member from list]
SEL_MEMBER --> LOAD_MEMBER[Load member profile\nfrom MemberRepository]
LOAD_MEMBER --> CHECK_ACTIVE{Member status\n= ACTIVE?}
CHECK_ACTIVE -->|No — SUSPENDED\nor EXPELLED| ERR_MEMBER[❌ Error: Member not eligible\nShow status reason]
CHECK_ACTIVE -->|Yes| CHECK_AGE{is_under_21\n= true?}
CHECK_AGE -->|Under 21| MAX_MONTHLY_30[Monthly limit = 30g]
CHECK_AGE -->|Adult ≥ 21| MAX_MONTHLY_50[Monthly limit = 50g]
MAX_MONTHLY_30 --> ENTER_QTY[Admin enters quantity\nin grams]
MAX_MONTHLY_50 --> ENTER_QTY
ENTER_QTY --> VALIDATE_QTY{quantity > 0\nand ≤ 25g?}
VALIDATE_QTY -->|No| ERR_QTY[❌ Error: Invalid quantity\nDaily max is 25g per visit]
VALIDATE_QTY -->|Yes| CHECK_DAILY[ComplianceService:\nSum distributions today\nfor this member]
CHECK_DAILY --> DAILY_OK{today_total +\nquantity ≤ 25g?}
DAILY_OK -->|No| ERR_DAILY[❌ Error: Daily limit exceeded\nShow remaining today]
DAILY_OK -->|Yes| CHECK_MONTHLY[ComplianceService:\nLoad MonthlyQuota\ncurrent month]
CHECK_MONTHLY --> MONTHLY_OK{monthly_total +\nquantity ≤ max_allowed?}
MONTHLY_OK -->|No| ERR_MONTHLY[❌ Error: Monthly quota exceeded\nShow remaining this month\nand reset date]
MONTHLY_OK -->|Yes| SEL_BATCH[Admin selects batch]
SEL_BATCH --> LOAD_BATCH[Load batch from\nBatchRepository]
LOAD_BATCH --> CHECK_BATCH{Batch status\n= AVAILABLE?}
CHECK_BATCH -->|RECALLED| ERR_RECALLED[❌ Error: Batch recalled\nSelect a different batch]
CHECK_BATCH -->|EXHAUSTED| ERR_EXHAUSTED[❌ Error: Batch exhausted\nNo stock remaining]
CHECK_BATCH -->|AVAILABLE| CHECK_STOCK{batch.quantity_grams\n≥ requested quantity?}
CHECK_STOCK -->|No| ERR_STOCK[❌ Error: Insufficient stock\nShow available quantity]
CHECK_STOCK -->|Yes| CONFIRM[Admin reviews and confirms\ndistribution details]
CONFIRM --> SAVE_DIST["💾 Save Distribution record\n(immutable = true,\nrecorded_by = currentUser)"]
SAVE_DIST --> UPD_QUOTA["💾 UPDATE MonthlyQuota\ntotal_distributed += quantity\n(@Version optimistic lock)"]
UPD_QUOTA --> UPD_STOCK["💾 INSERT StockMovement\n(type = OUT, batch_id, qty)"]
UPD_STOCK --> UPD_BATCH["💾 UPDATE Batch\nquantity_grams -= quantity\n(if = 0 → status = EXHAUSTED)"]
UPD_BATCH --> SUCCESS([✅ Success\nShow confirmation\nwith updated quota display])
```
---
## Flow 2: Member Registration
Registers a new member in the club. Includes DSGVO consent, age validation, under-21 flag assignment, and automatic portal account creation.
```mermaid
flowchart TD
START([🟢 Admin opens\n'Add Member' form]) --> ENTER_DATA[Admin enters member data:\nfirst/last name, email,\ndate of birth, address]
ENTER_DATA --> VALIDATE_EMAIL{Email unique\nin this club?}
VALIDATE_EMAIL -->|Already exists| ERR_EMAIL[❌ Error: Email already\nregistered in this club]
VALIDATE_EMAIL -->|Unique| VALIDATE_AGE{Age ≥ 18?}
VALIDATE_AGE -->|Under 18| ERR_AGE[❌ Error: Member must be\nat least 18 years old\n§ 10 KCanG]
VALIDATE_AGE -->|18 or older| CHECK_UNDER21{18 ≤ age < 21?}
CHECK_UNDER21 -->|Yes| SET_FLAG_TRUE["Set is_under_21 = true\nMonthly limit will be 30g"]
CHECK_UNDER21 -->|No, ≥ 21| SET_FLAG_FALSE["Set is_under_21 = false\nMonthly limit will be 50g"]
SET_FLAG_TRUE --> CHECK_CAPACITY[Check Club.max_members\nvs current member count]
SET_FLAG_FALSE --> CHECK_CAPACITY
CHECK_CAPACITY --> CAPACITY_OK{Club has\nfree capacity?}
CAPACITY_OK -->|No| ERR_CAPACITY[❌ Error: Club at max capacity\nCannot register more members]
CAPACITY_OK -->|Yes| GEN_NUMBER["Generate membership_number\n(club prefix + sequential ID)"]
GEN_NUMBER --> DSGVO[Show DSGVO consent dialog:\n• Data usage explanation\n• Right to erasure\n• Admin must confirm consent obtained]
DSGVO --> DSGVO_OK{Admin confirms\nconsent obtained?}
DSGVO_OK -->|No| ABORT([🔴 Abort — member\ncannot be registered\nwithout DSGVO consent])
DSGVO_OK -->|Yes| SAVE_MEMBER["💾 Save Member\n(status = ACTIVE,\nmembership_date = today)"]
SAVE_MEMBER --> CREATE_USER["💾 Create User account\n(role = ROLE_MEMBER,\ngenerate temp password)"]
CREATE_USER --> SEND_EMAIL["📧 Send welcome email:\n• Membership number\n• Temp login credentials\n• Portal URL\n• DSGVO information sheet PDF"]
SEND_EMAIL --> SUCCESS([✅ Member registered\nShow member profile\nwith membership number])
```
---
## Flow 3: Contamination Batch Recall
Handles the recall of a contaminated batch. This flow is time-critical — speed of notification is essential for member safety. All affected distributions are identified and the prevention officer is notified.
```mermaid
flowchart TD
START([🟢 Admin selects batch\nand clicks 'Flag Recall']) --> CONFIRM_RECALL{Confirm recall\nof batch?\nThis cannot be undone.}
CONFIRM_RECALL -->|Cancel| CANCEL([🔴 Cancelled — batch\nstatus unchanged])
CONFIRM_RECALL -->|Confirm| QUERY_DIST["🔍 Query all Distributions\nWHERE batch_id = :batchId\n(across all members)"]
QUERY_DIST --> HAS_DIST{Any distributions\nfound?}
HAS_DIST -->|No distributions| NO_DIST["⚠️ Batch was never distributed\n(still flag as RECALLED\nfor inventory integrity)"]
HAS_DIST -->|Yes| BUILD_LIST["Build affected member list:\n• member name\n• distribution date\n• quantity received\n• contact email"]
NO_DIST --> FLAG_BATCH
BUILD_LIST --> SHOW_LIST[Show affected member list\nto admin for review]
SHOW_LIST --> ADMIN_REVIEW{Admin reviews\nand confirms recall?}
ADMIN_REVIEW -->|Cancel| CANCEL
ADMIN_REVIEW -->|Proceed| FLAG_BATCH["💾 UPDATE Batch\nstatus = RECALLED\ncontamination_flag = true"]
FLAG_BATCH --> LOG_MOVEMENT["💾 INSERT StockMovement\n(type = RECALL,\nbatch_id, reason)"]
LOG_MOVEMENT --> EXPORT_LIST["📄 Generate export:\n• CSV: affected_members_recall_{batchCode}.csv\n• PDF: recall_report_{batchCode}.pdf\n(via iText 7)"]
EXPORT_LIST --> NOTIFY_OFFICER["📧 Email Prevention Officer:\n• Batch code and details\n• Affected member count\n• Attached CSV/PDF"]
NOTIFY_OFFICER --> AUDIT_LOG["💾 INSERT AuditLog\n(action = BATCH_RECALL,\nperformedBy, timestamp)"]
AUDIT_LOG --> SUCCESS([✅ Recall complete\nOffer download of\nexport files])
```
---
## Flow 4: Compliance Report Generation
Generates the monthly compliance report required by § 22 KCanG. Covers all distributions within a calendar month, with per-member quota analysis and club metadata for regulatory submission.
```mermaid
flowchart TD
START([🟢 Admin opens\nReports section]) --> SELECT_PERIOD[Admin selects\nmonth and year]
SELECT_PERIOD --> VALIDATE_PERIOD{Period in the\npast or current\nmonth?}
VALIDATE_PERIOD -->|Future month| ERR_FUTURE[❌ Error: Cannot generate\nreport for future periods]
VALIDATE_PERIOD -->|Valid| LOAD_CLUB[Load Club metadata:\nlicense number,\nprevention officer name]
LOAD_CLUB --> QUERY_DIST["🔍 ReportService:\nSELECT * FROM distributions\nWHERE month = :month\nAND year = :year\nAND tenant_id = :tenantId"]
QUERY_DIST --> HAS_DATA{Any distributions\nin this period?}
HAS_DATA -->|No data| EMPTY_REPORT["Generate empty report\nwith zero totals\n(still valid compliance submission)"]
HAS_DATA -->|Yes| AGG_MEMBER["Aggregate by member:\n• total_distributed_grams\n• number_of_visits\n• quota_usage_percent\n• is_under_21 flag"]
EMPTY_REPORT --> AGG_STRAIN
AGG_MEMBER --> AGG_STRAIN["Aggregate by strain/batch:\n• strain name, THC%, CBD%\n• quantity distributed\n• batch codes used"]
AGG_STRAIN --> ADD_METADATA["Add club metadata:\n• Club name + license number\n• Prevention officer name\n• Report generation timestamp\n• Total members active in period"]
ADD_METADATA --> RENDER_PDF["📄 iText 7:\nRender PDF report\n• Cover page with club details\n• Summary table\n• Per-member breakdown\n• Strain/batch appendix"]
RENDER_PDF --> RENDER_CSV["📊 Generate CSV:\n• One row per distribution\n• member_id, name, date,\n quantity, strain, batch_code"]
RENDER_CSV --> STORE_FILES["💾 Store generated files\ntemporarily in server /tmp\n(TTL: 1 hour)"]
STORE_FILES --> SUCCESS([✅ Report ready\nOffer download:\n📄 PDF 📊 CSV])
```
---
## Flow 5: Member Login & Quota Display
The member portal entry flow. Members log in to view their current monthly quota, remaining allowance, and recent distribution history. This is a read-only portal — members cannot modify any data.
```mermaid
flowchart TD
START([🟢 Member navigates\nto member portal URL]) --> SHOW_LOGIN[Show login form:\nemail + password]
SHOW_LOGIN --> SUBMIT[Member submits credentials]
SUBMIT --> FIND_USER["🔍 Spring Security:\nSELECT FROM users\nWHERE email = ?\nAND active = true"]
FIND_USER --> USER_FOUND{User found?}
USER_FOUND -->|No| ERR_NOTFOUND["❌ Invalid credentials\n(generic — do not reveal\nwhether email exists)"]
USER_FOUND -->|Yes| VERIFY_PW{BCrypt.verify\n(password, hash)\nmatches?}
VERIFY_PW -->|No| ERR_PW[❌ Invalid credentials]
VERIFY_PW -->|Yes| CHECK_MEMBER{User has\nmember_id set?}
CHECK_MEMBER -->|No — admin account| ERR_NOTMEMBER[❌ Error: Use admin portal\nfor admin accounts]
CHECK_MEMBER -->|Yes| ISSUE_JWT["🔑 Issue JWT:\n• role = ROLE_MEMBER\n• tenantId = user.tenantId\n• memberId = user.memberId\n• expiry = 8h"]
ISSUE_JWT --> UPDATE_LOGIN["💾 UPDATE users\nlast_login = NOW()"]
UPDATE_LOGIN --> LOAD_PORTAL["Load member portal\n(JSF view or SPA)"]
LOAD_PORTAL --> CALL_QUOTA["📡 GET /api/v1/members/me/quota\n(JWT in Authorization header)"]
CALL_QUOTA --> FETCH_QUOTA["🔍 QuotaController:\nLoad MonthlyQuota\nfor current month\n(create if not exists)"]
FETCH_QUOTA --> CALC_REMAINING{Quota record\nexists?}
CALC_REMAINING -->|No — new month| CREATE_QUOTA["Create MonthlyQuota row:\ntotal_distributed = 0\nmax_allowed = 30g or 50g"]
CALC_REMAINING -->|Yes| RETURN_QUOTA["Return QuotaStatus:\n• totalAllowed\n• totalUsed\n• remaining\n• percentUsed"]
CREATE_QUOTA --> RETURN_QUOTA
RETURN_QUOTA --> DISPLAY_PROGRESS["Display quota progress bar:\n🟩🟩🟩⬜⬜ e.g. 15g of 50g used\nColor: green < 60% / yellow < 85% / red ≥ 85%"]
DISPLAY_PROGRESS --> CALL_HISTORY["📡 GET /api/v1/distributions\n?memberId=me&limit=10\n&sort=distributed_at,desc"]
CALL_HISTORY --> DISPLAY_HISTORY["Display last 10 distributions:\n• Date, quantity, strain name\n• Batch code\n• Recorded by (staff name)"]
DISPLAY_HISTORY --> SUCCESS([✅ Member portal loaded\nQuota + history visible])
```
---
## Flow Summary
| Flow | Trigger | Key Service | Critical Constraint |
|---|---|---|---|
| Distribution Recording | Admin records handout | `ComplianceService` | Daily 25g + monthly 30g/50g limits |
| Member Registration | Admin adds new member | `MemberService` | Age ≥ 18, DSGVO consent mandatory |
| Batch Recall | Admin flags contamination | `ComplianceService.recallBatch()` | Immediate prevention officer notification |
| Report Generation | Admin requests monthly report | `ReportService` | iText 7 PDF + CSV for regulatory filing |
| Member Login | Member accesses portal | `AuthService` + `QuotaController` | JWT stateless, read-only member view |
### Error Handling Conventions
All flows follow these conventions for user-facing error messages:
- **Compliance errors** (`422 Unprocessable Entity`): Always include remaining quota/allowance so the admin knows what quantity would be valid
- **Validation errors** (`400 Bad Request`): Include the specific `field` and a human-readable `message` in German (UI locale)
- **Permission errors** (`403 Forbidden`): Generic message — do not reveal tenant or role details
- **System errors** (`500 Internal Server Error`): Log full stack trace; show generic user message; alert via email to club admin
### Transaction Boundaries
The Distribution Recording flow (Flow 1) executes steps `SAVE_DIST → UPD_QUOTA → UPD_STOCK → UPD_BATCH` in a **single `@Transactional` block**. If any step fails (e.g., optimistic lock collision on `MonthlyQuota`), the entire transaction rolls back and no partial state is persisted.
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# CannaManage — Wireframes & UI Mockups
**Phase 4a | Document 6 of 7**
**Date:** 2026-04-06
**Stack:** Spring Boot 3.x · React/Vite SPA · PostgreSQL
---
## Table of Contents
1. [Design System Overview](#1-design-system-overview)
2. [Admin Portal Screens](#2-admin-portal-screens)
3. [Member Portal Screens](#3-member-portal-screens)
4. [Navigation & Information Architecture](#4-navigation--information-architecture)
5. [Responsive Design Notes](#5-responsive-design-notes)
6. [Accessibility](#6-accessibility)
---
## 1. Design System Overview
### 1.1 Color Palette
| Token | Hex | Usage |
|---|---|---|
| `--color-primary` | `#2D5016` | Sidebar background, primary buttons, active nav items |
| `--color-primary-medium` | `#4A7C28` | Hover states, section headers, badge outlines |
| `--color-accent` | `#8BC34A` | Highlights, progress bars filled, success indicators |
| `--color-bg` | `#F5F5F5` | Page background, card backgrounds |
| `--color-text` | `#1A1A1A` | Body text, table cell content |
| `--color-warning` | `#FF6B35` | Quota >80%, low stock, warnings |
| `--color-error` | `#D32F2F` | Quota exceeded, recalled batches, destructive actions |
| `--color-white` | `#FFFFFF` | Sidebar text, button labels on dark bg, card surfaces |
### 1.2 Typography
| Element | Font | Size | Weight |
|---|---|---|---|
| H1 — Page title | Inter | 24px | 600 |
| H2 — Section heading | Inter | 18px | 600 |
| H3 — Card title | Inter | 14px | 600 |
| Body / table rows | Inter | 14px | 400 |
| Caption / label | Inter | 12px | 400 |
| Mono (codes, IDs) | JetBrains Mono | 13px | 400 |
### 1.3 Component Library
The frontend is a **React/Vite SPA** with no PrimeFaces or JSF dependency. Component primitives come from [shadcn/ui](https://ui.shadcn.com/) (Radix UI + Tailwind CSS). This gives full control over styling, accessibility, and mobile responsiveness without JSF's lifecycle overhead.
> **Why not PrimeFaces?** JSF/PrimeFaces is a server-side component model ill-suited to the modern REST API backend we're building. It tightly couples UI lifecycle to the backend, makes mobile responsiveness painful, and creates a hiring bottleneck. React is the right tool here. PrimeFaces is a fine choice for internal enterprise apps — not for a commercial SaaS.
| Component | Library | Usage |
|---|---|---|
| `Card` / `Panel` | shadcn/ui | Section containers |
| `DataTable` | TanStack Table v8 | Distributions, members, batches — virtualized |
| `Pagination` | shadcn/ui Pagination | All tables |
| `Input` | shadcn/ui Input | Single-line text fields |
| `NumberInput` | react-number-format | Weight inputs (gram precision, min/max) |
| `Select` | shadcn/ui Select | Dropdown selects (member, strain, batch) |
| `DatePicker` | shadcn/ui Calendar | Date range pickers for reports |
| `Progress` | shadcn/ui Progress | Quota consumption bar |
| `Button` | shadcn/ui Button | Primary and secondary actions |
| `AlertDialog` | shadcn/ui AlertDialog | Dangerous actions (recall) |
| `Toast` | sonner | Success/error notifications |
| `Badge` | shadcn/ui Badge | Status indicators (AVAILABLE, LOW, RECALLED) |
| `Sheet` | shadcn/ui Sheet | Mobile nav drawer |
| `Dialog` | shadcn/ui Dialog | Modal overlays |
### 1.4 Layout Grid
```
┌────────────────────────────────────────────────────┐
│ TOP NAVBAR (56px) club name · avatar · logout │
├──────────────┬─────────────────────────────────────┤
│ │ │
│ SIDEBAR │ MAIN CONTENT │
│ (240px) │ (fluid, min 784px) │
│ fixed │ │
│ │ │
└──────────────┴─────────────────────────────────────┘
```
- **Sidebar:** fixed left, `#2D5016` background, white nav labels with `#8BC34A` icons
- **Top Navbar:** `#FFFFFF` with bottom border `#E0E0E0`, breadcrumb left, user controls right
- **Main Content:** `#F5F5F5` background, 24px padding, max content width 1200px centered
---
## 2. Admin Portal Screens
### Screen 1 — Admin Dashboard
![Admin Dashboard](images/mockup-admin-dashboard.png)
#### ASCII Wireframe
```
┌─────────────────────────────────────────────────────────────────────┐
│ 🌿 CannaManage Grüne Oase Berlin e.V. 👤 Max M. [⏻] │
├────────────┬────────────────────────────────────────────────────────┤
│ │ Dashboard 🗓 April 2026 │
│ 📊 Dashboard◄│ │
│ │ ┌──────────────┐ ┌──────────────┐ ┌───────────────┐ │
│ 👥 Members│ │ Total Members│ │ Distributions│ │ Stock Available│ │
│ │ │ │ │ This Month │ │ │ │
│ 📋 Distrib│ │ 142 │ │ 87 │ │ 3,240 g │ │
│ │ │ ▲ +3 MoM │ │ ▲ +12 MoM │ │ ▼ -800g MoM │ │
│ 📦 Stock │ └──────────────┘ └──────────────┘ └───────────────┘ │
│ │ │
│ 📄 Reports│ Recent Distributions [+ New Entry] │
│ │ ┌─────────────────────────────────────────────────┐ │
│ ✅ Complian│ │ Member │ Strain │ Qty │ Date │ ✓ │ │
│ │ ├─────────────┼─────────────┼───────┼───────┼────┤ │
│ ⚙ Settings│ │ Müller, A. │ OG Kush B12 │ 5.0g │ 06.04 │ ✓ │ │
│ │ │ Schmidt, K. │ Amnesia H09 │ 3.5g │ 06.04 │ ✓ │ │
│ │ │ Weber, T. │ OG Kush B12 │ 7.0g │ 05.04 │ ✓ │ │
│ │ │ … │ │ │ │ │ │
└────────────┴──┴─────────────────────────────────────────────────────┘
```
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| KPI Cards | shadcn/ui Card | Auto-refreshed via `useQuery` (react-query, 60s stale) |
| Recent Distributions table | TanStack Table (5 rows) | Row click → navigate to distribution detail |
| Member column link | React Router `<Link>` | Navigate to `/admin/members/{id}` |
| `+ New Entry` button | shadcn/ui Button variant="default" | Navigate to `/admin/distributions/new` |
| Trend indicators | Tailwind `text-green-600` / `text-red-600` | ▲/▼ with delta value |
---
### Screen 2 — Distribution Recording Form
![Distribution Form](images/mockup-distribution-form.png)
#### ASCII Wireframe
```
┌─────────────────────────────────────────────────────────────────────┐
│ 🌿 CannaManage Grüne Oase Berlin e.V. 👤 Max M. [⏻] │
├────────────┬────────────────────────────────────────────────────────┤
│ │ Distributions New Distribution │
│ 📊 Dashbrd│ │
│ │ ┌──────────────────────────────────────────────────┐ │
│ 👥 Members│ │ Member * │ │
│ │ │ ┌──────────────────────────────────────────┐ │ │
│ 📋 Distrib◄│ │ │ 🔍 Search by name or member no. │ │ │
│ │ │ └──────────────────────────────────────────┘ │ │
│ 📦 Stock │ │ │ │
│ │ │ Strain / Batch * │ │
│ 📄 Reports│ │ ┌──────────────────────────────────────────┐ │ │
│ │ │ │ Select available batch ▼ │ │ │
│ ✅ Complian│ │ └──────────────────────────────────────────┘ │ │
│ │ │ │ │
│ ⚙ Settings│ │ Weight (grams) * │ │
│ │ │ ┌──────────┐ │ │
│ │ │ │ 0.0 g │ ← p:inputNumber min=0.1 max=25 │ │
│ │ │ └──────────┘ │ │
│ │ │ │ │
│ │ │ Monthly Quota — Müller, Anna │ │
│ │ │ ████████████░░░░░░░░ 32.5g / 50g 65% │ │
│ │ │ [████████████████░░░] <- p:progressBar │ │
│ │ │ │ │
│ │ │ [ Record Distribution ] [Cancel] │ │
│ │ └──────────────────────────────────────────────────┘ │
└────────────┴────────────────────────────────────────────────────────┘
```
#### Compliance UX — Real-Time Quota Indicator
The quota progress bar updates live as the weight field changes (via `f:ajax event="keyup"`):
| Quota Used After Distribution | Bar Color | Submit Button | Message |
|---|---|---|---|
| 079% | `#8BC34A` (green) | Enabled | — |
| 8099% | `#FF6B35` (orange) | Enabled | "⚠ Approaching monthly limit" |
| 100% | `#D32F2F` (red) | **Disabled** | "🚫 Monthly limit reached (50g)" |
| Over-21 member, >30g monthly | `#D32F2F` (red) | **Disabled** | "🚫 Under-21 limit reached (30g)" |
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| Member search | shadcn/ui Combobox | `useQuery` debounced search; shows name + member no. |
| Strain/Batch dropdown | shadcn/ui Select | Populated after member selection; filters `AVAILABLE` batches |
| Weight input | react-number-format | min=0.1 max=25.0 step=0.1; triggers quota recalculation via `onChange` |
| Quota bar | shadcn/ui Progress | Color class via `cn()` utility computed in component state |
| Submit | shadcn/ui Button | `disabled={quotaExceeded}` from react state |
| Cancel | React Router `<Link>` | Returns to distribution log without saving |
---
### Screen 3 — Stock Management
![Stock Management](images/mockup-stock-management.png)
#### ASCII Wireframe
```
┌─────────────────────────────────────────────────────────────────────┐
│ 🌿 CannaManage Grüne Oase Berlin e.V. 👤 Max M. [⏻] │
├────────────┬────────────────────────────────────────────────────────┤
│ │ Stock Management [+ Add Batch] │
│ 📊 Dashbrd│ │
│ │ ┌──────────────────────┐ ┌────────────────────┐ │
│ 👥 Members│ │ 🔍 Filter by strain │ │ Status: All ▼ │ │
│ │ └──────────────────────┘ └────────────────────┘ │
│ 📋 Distrib│ │
│ │ ┌───────────────────────────────────────────────────┐ │
│ 📦 Stock ◄│ │ Strain │Batch│THC% │CBD%│ Qty │Status│Act │ │
│ │ ├──────────────┼─────┼─────┼────┼───────┼──────┼────┤ │
│ 📄 Reports│ │ OG Kush │B-12 │ 19% │ 1% │ 850g │ ● │[R] │ │
│ │ │ Amnesia Haze │H-09 │ 22% │<1% │ 72g │ ⚠ │[R] │ │
│ ✅ Complian│ │ Blue Dream │D-05 │ 17% │ 2% │ 0g │ — │[R] │ │
│ │ │ Hindu Kush │K-21 │ 8% │15% │ 340g │ ✓ │[R] │ │
│ ⚙ Settings│ │ AK-47 #4 │A-03 │ 20% │ 1% │ RECALLED │ ⛔ │[R] │ │
│ │ └───────────────────────────────────────────────────┘ │
│ │ [◄ 1 2 3 … ►] Showing 1-10/42 │
└────────────┴────────────────────────────────────────────────────────┘
```
#### Status Badges
| Badge | Color | Icon | Condition |
|---|---|---|---|
| `AVAILABLE` | `#4A7C28` bg | ✓ checkmark | `qty > 100g` and not recalled |
| `LOW` | `#FF6B35` bg | ⚠ warning | `0 < qty ≤ 100g` |
| `EXHAUSTED` | `#9E9E9E` bg | — dash | `qty = 0` |
| `RECALLED` | `#D32F2F` bg | ⛔ stop | `recall_date IS NOT NULL` |
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| Strain filter | shadcn/ui Input | Filters TanStack table client-side via `columnFilters` state |
| Status filter | shadcn/ui Select | Filters table rows by status value |
| Batch table | TanStack Table | Server-side pagination via `manualPagination`, 10 rows/page |
| Status badge | shadcn/ui Badge variant mapped | Icon + text label (not color alone) |
| Recall button | shadcn/ui Button variant="destructive" | Opens shadcn/ui AlertDialog before executing |
| Confirm dialog | shadcn/ui AlertDialog | "Recall batch B-12 (OG Kush, 850g)? This cannot be undone." |
| Add Batch | shadcn/ui Button | Opens shadcn/ui Dialog with batch entry form |
---
### Screen 4 — Compliance Report Generation
![Compliance Report](images/mockup-compliance-report.png)
#### ASCII Wireframe
```
┌─────────────────────────────────────────────────────────────────────┐
│ 🌿 CannaManage Grüne Oase Berlin e.V. 👤 Max M. [⏻] │
├────────────┬────────────────────────────────────────────────────────┤
│ │ Reports Monthly Compliance Report │
│ 📊 Dashbrd│ │
│ │ ┌─────────────────────────────────────────────────┐ │
│ 👥 Members│ │ Reporting Period │ │
│ │ │ Month: [ March ▼ ] Year: [ 2026 ▼ ] │ │
│ 📋 Distrib│ │ [ Generate Report ] │ │
│ │ └─────────────────────────────────────────────────┘ │
│ 📦 Stock │ │
│ │ ┌─────────────────────────────────────────────────┐ │
│ 📄 Reports◄│ │ PDF PREVIEW │ │
│ │ │ ┌─────────────────────────────────────────┐ │ │
│ ✅ Complian│ │ │ 🌿 CannaManage — Monthly Report Mar 2026 │ │ │
│ │ │ │ Club: Grüne Oase Berlin e.V. │ │ │
│ ⚙ Settings│ │ │ ─────────────────────────────────────── │ │ │
│ │ │ │ Total Members: 142 │ │ │
│ │ │ │ Active Members (distributed): 87 │ │ │
│ │ │ │ Total Distributed: 435.5g │ │ │
│ │ │ └─────────────────────────────────────────┘ │ │
│ │ │ │ │
│ │ │ [⬇ Download PDF] [⬇ Download CSV] │ │
│ │ └─────────────────────────────────────────────────┘ │
│ │ │
│ │ Summary Table │
│ │ ┌────────────────────────────────────────────────┐ │
│ │ │ Metric │ Value │ Limit │ │
│ │ ├──────────────────────┼───────────┼─────────────┤ │
│ │ │ Members >50g/month │ 0 │ Must be 0 │ │
│ │ │ Members >30g (U21) │ 0 │ Must be 0 │ │
│ │ │ Recalled Batches │ 1 │ — (info) │ │
│ │ │ Avg grams / member │ 5.0g │ — │ │
│ │ └────────────────────────────────────────────────┘ │
└────────────┴────────────────────────────────────────────────────────┘
```
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| Month selector | shadcn/ui Select | Months JanDec |
| Year selector | shadcn/ui Select | Current year ± 2 |
| Generate button | shadcn/ui Button | Calls report API; shows loading spinner; renders PDF thumbnail |
| PDF preview | `<iframe>` embedding `/api/v1/reports/preview?month=3&year=2026` | Generated by iText 7 backend |
| Download PDF | shadcn/ui Button | `window.open(reportUrl)` — streams PDF from REST endpoint |
| Download CSV | shadcn/ui Button | `window.open(csvUrl)` — streams CSV from REST endpoint |
| Summary table | TanStack Table | Compliance metrics; zero violations row has `text-green-600` |
---
## 3. Member Portal Screens
### Screen 5 — Member Dashboard / Quota View
![Member Quota](images/mockup-member-quota.png)
#### ASCII Wireframe
```
┌────────────────────────────────────────────────────┐
│ 🌿 CannaManage Anna Müller #M-0042 │
│ ────────────────────────────────────────────── │
│ │
│ Monthly Quota Remaining │
│ │
│ ╭───────────────╮ │
│ │ │ │
│ │ 17.5 g │ │
│ │ remaining │ │
│ │ │ │
│ │ of 50g/month │ │
│ ╰───────────────╯ │
│ ▓▓▓▓▓▓▓▓▓▓▓░░░░░░░ 65% used │
│ │
│ Distribution History │
│ ┌────────────────────────────────────────────┐ │
│ │ Date │ Strain │ Quantity │ │
│ ├────────────┼──────────────┼────────────────┤ │
│ │ 06.04.2026 │ OG Kush │ 5.0g │ │
│ │ 02.04.2026 │ Amnesia Haze │ 12.5g │ │
│ │ 28.03.2026 │ OG Kush │ 15.0g │ │
│ └────────────┴──────────────┴────────────────┘ │
│ │
│ Available Strains │
│ ┌────────────────────────────────────────────┐ │
│ │ Strain │ Availability │ │
│ ├──────────────┼─────────────────────────────┤ │
│ │ OG Kush │ ● Available │ │
│ │ Amnesia Haze │ ⚠ Limited │ │
│ │ Hindu Kush │ ● Available │ │
│ └────────────────────────────────────────────┘ │
│ │
└────────────────────────────────────────────────────┘
```
#### Compliance Note — Available Strains Display
Per CanG §§67, members may NOT see specific batch quantities or total stock levels. The **Available Strains** table shows only:
- Strain name
- Availability status (Available / Limited / Unavailable)
Quantities, batch codes, and THC/CBD percentages are **not exposed** in the member portal.
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| Quota circle | Custom CSS radial progress (`conic-gradient`) | Computed from monthly total; color matches threshold rules |
| Quota bar | shadcn/ui Progress | Same color logic as admin distribution form |
| History table | TanStack Table | Last 10 distributions; sorted newest first; no pagination in MVP |
| Strains table | TanStack Table | `status` column: text + icon only, no quantities |
---
### Screen 6 — Member Login
> *No mockup image — ASCII wireframe only.*
---
### Screen 7 — Staff Management (Admin)
> *Core feature — not deferred to v2.*
#### ASCII Wireframe
```
┌─────────────────────────────────────────────────────────────────────┐
│ 🌿 CannaManage Grüne Oase Berlin e.V. 👤 Max M. [⏻] │
├────────────┬────────────────────────────────────────────────────────┤
│ │ Settings Staff Members [+ Add Staff] │
│ 📊 Dashbrd│ │
│ │ ┌──────────────────────────────────────────────────┐ │
│ 👥 Members│ │ Name │ Role Template │ Permissions │ Act│ │
│ │ ├─────────────────┼───────────────┼─────────────┼────┤ │
│ 📋 Distrib│ │ Lisa Schmidt │ Ausgabe │ 3 of 8 │[✎][⛔]│
│ │ │ Tom Weber │ Lager │ 4 of 8 │[✎][⛔]│
│ 📦 Stock │ │ Sandra Müller │ Vorstand │ 7 of 8 │[✎][⛔]│
│ │ └──────────────────────────────────────────────────┘ │
│ 📄 Reports│ │
│ │ ┌─── Add / Edit Staff ──────────────────────────────┐ │
│ ✅ Complian│ │ Name: _______________ Email: _______________ │ │
│ │ │ │ │
│ 👤 Staff │ │ Role Template: [ Ausgabe ▼ ] (pre-fills below) │ │
│ │ │ │ │
│ ⚙ Settings│ │ Permissions: │ │
│ │ │ ☑ Record Distribution ☑ View Member List │ │
│ │ │ ☑ View Member Quota ☐ Add Member │ │
│ │ │ ☐ View Stock ☐ Record Stock In │ │
│ │ │ ☐ View Compliance Report ☐ Manage Grow Calendar │ │
│ │ │ │ │
│ │ │ [ Save Staff Member ] [ Cancel ] │ │
│ │ └────────────────────────────────────────────────────┘ │
└────────────┴────────────────────────────────────────────────────────┘
```
#### Design Decisions
- **Admin sees everything.** The staff management screen is only accessible with `ROLE_CLUB_ADMIN`. Staff accounts cannot modify their own permissions.
- **DSGVO principle of least privilege.** Each staff member only sees the data their role requires. A distribution desk worker (`Ausgabe`) does not see cultivation calendar or full stock levels — only what they need to hand out product.
- **Pre-created role templates** reduce admin setup time. Templates are editable — they just pre-fill the permission checkboxes.
- **Staff ≠ reduced admin.** Staff accounts do not have access to billing, club settings, or staff management. Even a "Vorstand" staff member cannot create other staff accounts.
- **Audit trail.** All distributions recorded by staff include `recorded_by = staffUserId` so it's clear who did what.
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| Staff table | TanStack Table | Shows name, role template, permission count, actions |
| Role template dropdown | shadcn/ui Select | Pre-populates permission checkboxes on selection |
| Permission checkboxes | shadcn/ui Checkbox | Individual overrides after template selection |
| Save | shadcn/ui Button | POST/PUT `/api/v1/staff` with `{ permissions: [...] }` |
| Deactivate | shadcn/ui Button variant="destructive" | Soft-deletes staff account; data retained for audit |
---
#### ASCII Wireframe
```
┌──────────────────────────────────────────┐
│ │
│ 🌿 CannaManage │
│ │
│ ┌──────────────────────────────────┐ │
│ │ E-Mail Address │ │
│ │ ┌────────────────────────────┐ │ │
│ │ │ you@example.com │ │ │
│ │ └────────────────────────────┘ │ │
│ │ │ │
│ │ Password │ │
│ │ ┌────────────────────────────┐ │ │
│ │ │ •••••••••••• │ │ │
│ │ └────────────────────────────┘ │ │
│ │ │ │
│ │ [ ████ Log In ████████████ ] │ │
│ └──────────────────────────────────┘ │
│ │
│ Problems logging in? │
│ Contact your club administrator. │
│ │
└──────────────────────────────────────────┘
```
#### Design Decisions
- **No self-registration link** — member accounts are created exclusively by admins via the admin portal. The login page has no "Create account" or "Sign up" flow.
- **No forgot-password link** — password resets are initiated by the club admin only. The login page directs users to contact their admin, avoiding email-based reset flows that would require verified email infrastructure in MVP.
- **No social login** — DSGVO compliance and club accountability require traceable credential management.
- **Form submission:** POST to `/login` (Spring Security form login), redirect to `/member/dashboard` on success.
#### Components & Behavior
| Component | Library | Behavior |
|---|---|---|
| Email field | shadcn/ui Input type="email" | HTML5 validation + react-hook-form `@Email` |
| Password field | shadcn/ui Input type="password" | No strength meter on login |
| Login button | shadcn/ui Button | Submit via react-hook-form; shows error toast on failure |
| Error message | sonner toast | "Invalid email or password." (never specific about which field failed) |
---
## 4. Navigation & Information Architecture
```mermaid
graph TD
Root["CannaManage Root"]
Root --> AdminPortal["Admin Portal /admin/"]
Root --> MemberPortal["Member Portal /member/"]
Root --> StaffPortal["Staff Portal /staff/"]
AdminPortal --> AdminDash["Dashboard (default)"]
AdminPortal --> Members["Members"]
Members --> MemberList["Member List"]
Members --> MemberDetail["Member Detail"]
AdminPortal --> Distributions["Distributions"]
Distributions --> DistLog["Distribution Log"]
Distributions --> NewDist["New Distribution"]
AdminPortal --> Stock["Stock"]
Stock --> Strains["Strains"]
Stock --> Batches["Batches"]
AdminPortal --> Reports["Reports"]
Reports --> MonthlyReport["Monthly Compliance"]
Reports --> MemberExport["Member Export"]
Reports --> RecallReport["Batch Recall Report"]
AdminPortal --> Compliance["Compliance"]
Compliance --> PreventionOfficer["Prevention Officer Info"]
AdminPortal --> StaffMgmt["Staff Members"]
StaffMgmt --> StaffList["Staff List"]
StaffMgmt --> StaffNew["Add/Edit Staff"]
AdminPortal --> Settings["Settings"]
Settings --> ClubProfile["Club Profile"]
StaffPortal --> StaffDash["Staff Dashboard\n(permissions-filtered)"]
MemberPortal --> MemberDash["Dashboard / Quota"]
MemberPortal --> DistHistory["Distribution History"]
MemberPortal --> StockAvail["Stock Availability"]
```
### URL Structure
| Path | Description | Role |
|---|---|---|
| `/login` | Login page | Public |
| `/admin/dashboard` | Admin home | `ROLE_ADMIN` |
| `/admin/members` | Member list | `ROLE_ADMIN` |
| `/admin/members/{id}` | Member detail | `ROLE_ADMIN` |
| `/admin/distributions` | Distribution log | `ROLE_ADMIN` |
| `/admin/distributions/new` | New distribution form | `ROLE_ADMIN` |
| `/admin/stock/strains` | Strain catalog | `ROLE_ADMIN` |
| `/admin/stock/batches` | Batch management | `ROLE_ADMIN` |
| `/admin/reports/monthly` | Compliance reports | `ROLE_ADMIN` |
| `/admin/reports/members` | Member data export | `ROLE_ADMIN` |
| `/admin/reports/recall` | Recall report | `ROLE_ADMIN` |
| `/admin/compliance` | Prevention officer | `ROLE_ADMIN` |
| `/admin/staff` | Staff list | `ROLE_ADMIN` |
| `/admin/staff/new` | Create staff account | `ROLE_ADMIN` |
| `/admin/staff/{id}` | Edit staff permissions | `ROLE_ADMIN` |
| `/admin/settings` | Club settings | `ROLE_ADMIN` |
| `/staff/dashboard` | Staff home (permissions-filtered) | `ROLE_STAFF` |
| `/member/dashboard` | Member quota view | `ROLE_MEMBER` |
| `/member/distributions` | Personal history | `ROLE_MEMBER` |
| `/member/stock` | Strain availability | `ROLE_MEMBER` |
---
## 5. Responsive Design Notes
### MVP (v1) — Tailwind Breakpoints
The React/Vite SPA uses **Tailwind CSS** breakpoints throughout. The switch from PrimeFaces means we no longer depend on JSF's `ui-g-*` responsive grid — Tailwind's `sm:` / `md:` / `lg:` utilities apply cleanly to every component.
| Breakpoint | Tailwind prefix | Admin Portal | Member Portal |
|---|---|---|---|
| `≥ 1280px` | `xl:` | Full layout — sidebar + content | Two-column: quota left, history right |
| `10241279px` | `lg:` | Sidebar collapses to icons (60px) | Two-column (narrower) |
| `7681023px` | `md:` | Sidebar hidden; hamburger sheet | Single-column, full-width cards |
| `< 768px` | `sm:` / base | Admin: horizontal table scroll | Member: compact quota ring, condensed table |
### Member Portal — Mobile-First from Day One
Members will typically check quota status on their phone. The member portal uses `flex-col` mobile-first layout with `md:flex-row` for wider viewports — no breakpoint-specific class sprawl.
### Responsive Conventions (React/Tailwind)
- No inline styles — use Tailwind utilities exclusively
- `cn()` utility (clsx + tailwind-merge) for conditional class composition
- Tables on mobile: horizontal scroll wrapper `overflow-x-auto` on `<div>` wrapping `<table>`
- All modals and sheets use `shadcn/ui Dialog` / `Sheet` — these are already mobile-friendly (viewport-aware positioning)
- Touch targets: all interactive elements `min-h-[44px]` and `min-w-[44px]` per WCAG 2.5.5
### v2 Roadmap
- PWA manifest + service worker (offline quota display)
- Push notifications for low quota warnings
- Per-club subdomain routing (`clubname.cannamanage.de`)
---
## 6. Accessibility
CannaManage targets **WCAG 2.1 AA** compliance across both portals.
### Keyboard Navigation
| Element | Keyboard Behavior |
|---|---|
| Navigation sidebar | Tab navigates items; Enter activates |
| Data tables | Tab to table; arrow keys for row navigation |
| Dropdown menus | Enter/Space to open; arrow keys to navigate; Escape to close |
| Modal dialogs | Focus trapped inside; Escape to close; first focusable element receives focus on open |
| Confirmation dialogs | Tab between Confirm and Cancel; Enter on focused button |
### Screen Reader Support
- All `Input` / `NumberInput` fields have `<label>` with `htmlFor` (React) — Radix UI enforces this automatically for shadcn/ui form fields
- `aria-label` set on icon-only buttons (e.g., recall action column)
- `aria-live="polite"` region on quota bar — announces percentage changes
- `aria-describedby` links compliance warning messages to the weight input
- TanStack Table exposes `role="grid"` and `aria-rowcount` via `getTableProps()`
### Color Independence
Status badges must never rely on color alone:
| Status | Color | Icon | Text label |
|---|---|---|---|
| AVAILABLE | Green | ✓ | "Available" |
| LOW | Orange | ⚠ | "Low Stock" |
| RECALLED | Red | ⛔ | "Recalled" |
| EXHAUSTED | Gray | — | "Exhausted" |
Quota progress bar additionally shows numeric percentage text alongside color change.
### Contrast Ratios
| Foreground | Background | Ratio | AA pass |
|---|---|---|---|
| `#FFFFFF` | `#2D5016` | 9.1:1 | ✅ |
| `#1A1A1A` | `#F5F5F5` | 16.0:1 | ✅ |
| `#1A1A1A` | `#FFFFFF` | 19.0:1 | ✅ |
| `#FFFFFF` | `#D32F2F` | 5.1:1 | ✅ |
| `#FFFFFF` | `#FF6B35` | 3.1:1 | ⚠ verify at large text only |
---
*Next: [07-CODING-STANDARDS.md](07-CODING-STANDARDS.md)*
@@ -0,0 +1,825 @@
# CannaManage — Coding Standards & Git Strategy
**Phase 4a | Document 7 of 7**
**Date:** 2026-04-06
**Stack:** Java 21 · Spring Boot 3.x · JPA/Hibernate · PrimeFaces JSF · PostgreSQL
---
## Table of Contents
1. [Project Structure](#1-project-structure)
2. [Java Coding Standards](#2-java-coding-standards)
3. [Compliance Code Rules](#3-compliance-code-rules)
4. [Git Strategy](#4-git-strategy)
5. [Testing Standards](#5-testing-standards)
6. [Code Review Checklist](#6-code-review-checklist)
7. [Security Standards](#7-security-standards)
8. [Environment Configuration](#8-environment-configuration)
---
## 1. Project Structure
### Maven Multi-Module Layout
```
cannamanage/
├── pom.xml # Parent POM — dependency management, versions
├── cannamanage-domain/ # JPA entities, enums, exceptions, value objects
│ └── src/main/java/de/cannamanage/domain/
│ ├── member/ # Member, MemberStatus, MembershipType
│ ├── distribution/ # Distribution, DistributionRecord
│ ├── stock/ # Strain, Batch, BatchStatus
│ ├── compliance/ # ComplianceConstants, QuotaExceededException
│ └── common/ # AbstractTenantEntity, TenantId
├── cannamanage-service/ # Business logic, compliance engine, repositories
│ └── src/main/java/de/cannamanage/service/
│ ├── member/ # MemberService, MemberRepository
│ ├── distribution/ # DistributionService, DistributionRepository
│ ├── stock/ # StockService, BatchRepository
│ ├── compliance/ # ComplianceService, QuotaCalculator
│ └── report/ # ReportDataService
├── cannamanage-web/ # PrimeFaces JSF backing beans + XHTML views
│ └── src/main/
│ ├── java/de/cannamanage/web/
│ │ ├── admin/ # AdminDashboardBean, DistributionFormBean
│ │ ├── member/ # MemberDashboardBean
│ │ └── common/ # AuthBean, NavigationBean
│ └── webapp/
│ ├── admin/ # dashboard.xhtml, distribution-form.xhtml, stock.xhtml
│ ├── member/ # dashboard.xhtml, stock.xhtml
│ └── WEB-INF/ # faces-config.xml, web.xml
├── cannamanage-api/ # REST controllers (Spring Boot MVC)
│ └── src/main/java/de/cannamanage/api/
│ ├── member/ # MemberController, MemberDto
│ ├── distribution/ # DistributionController, DistributionDto
│ ├── stock/ # StockController, BatchDto
│ ├── auth/ # AuthController, JwtFilter
│ └── report/ # ReportController
└── cannamanage-report/ # iText 7 PDF generation
└── src/main/java/de/cannamanage/report/
├── monthly/ # MonthlyComplianceReport
├── recall/ # BatchRecallReport
└── export/ # MemberCsvExporter
```
### Module Dependencies
```
cannamanage-domain (no deps on other modules)
cannamanage-service (depends on domain)
cannamanage-api (depends on service, domain)
cannamanage-web (depends on service, domain)
cannamanage-report (depends on service, domain)
```
`cannamanage-api` and `cannamanage-web` are siblings — they do not depend on each other. The web module is the PrimeFaces JSF frontend (MVP); the API module provides the REST layer (future mobile / integration use).
---
## 2. Java Coding Standards
### Language Version
Java 21. All modern language features are permitted and preferred:
| Feature | Use Case | Example |
|---|---|---|
| Records | DTOs, value objects, query results | `record MemberSummary(UUID id, String name, BigDecimal quotaUsed)` |
| Sealed classes | Result types, compliance outcomes | `sealed interface QuotaResult permits QuotaOk, QuotaWarning, QuotaExceeded` |
| Text blocks | JPQL, SQL in tests, JSON fixtures | `String jpql = """ SELECT m FROM Member m WHERE... """` |
| Pattern matching `instanceof` | Type checks in services | `if (result instanceof QuotaExceeded e) { ... }` |
| Switch expressions | Status mapping, report routing | `yield` syntax preferred |
### Package Structure
Pattern: `de.cannamanage.[module].[layer]`
```
de.cannamanage.domain.member # Member entity
de.cannamanage.domain.compliance # ComplianceConstants, exceptions
de.cannamanage.service.distribution # DistributionService
de.cannamanage.api.stock # StockController, BatchDto
de.cannamanage.web.admin # DistributionFormBean
de.cannamanage.report.monthly # MonthlyComplianceReport
```
### Class Naming Conventions
| Type | Pattern | Example |
|---|---|---|
| JPA Entity | `{Domain}` | `Member`, `Distribution`, `Batch` |
| Spring Service | `{Domain}Service` | `MemberService`, `ComplianceService` |
| Repository | `{Domain}Repository` | `DistributionRepository` |
| REST Controller | `{Domain}Controller` | `StockController` |
| JSF Backing Bean | `{Screen}Bean` | `DistributionFormBean`, `AdminDashboardBean` |
| DTO (request) | `{Domain}Request` | `CreateDistributionRequest` |
| DTO (response) | `{Domain}Response` / `{Domain}Dto` | `MemberSummaryDto` |
| Exception | `{Condition}Exception` | `QuotaExceededException`, `BatchRecalledException` |
| Enum | `{Domain}Status` / `{Domain}Type` | `BatchStatus`, `MembershipType` |
| Constants class | `{Domain}Constants` | `ComplianceConstants` |
### Dependency Injection
**Constructor injection only.** Field injection (`@Autowired` on fields) is prohibited.
```java
// ✅ Correct
@Service
@RequiredArgsConstructor
public class DistributionService {
private final DistributionRepository distributionRepository;
private final ComplianceService complianceService;
private final MemberRepository memberRepository;
}
// ❌ Prohibited
@Service
public class DistributionService {
@Autowired
private DistributionRepository distributionRepository;
}
```
Lombok `@RequiredArgsConstructor` is the preferred way to generate the constructor.
### Entity Base Class
All `@Entity` classes must extend `AbstractTenantEntity`. No raw entities without tenant isolation.
```java
// de.cannamanage.domain.common.AbstractTenantEntity
@MappedSuperclass
@EntityListeners(AuditingEntityListener.class)
public abstract class AbstractTenantEntity {
@Id
@GeneratedValue(strategy = GenerationType.UUID)
private UUID id;
@Column(name = "tenant_id", nullable = false, updatable = false)
private UUID tenantId;
@CreatedDate
@Column(name = "created_at", nullable = false, updatable = false)
private Instant createdAt;
@LastModifiedDate
@Column(name = "updated_at", nullable = false)
private Instant updatedAt;
}
// ✅ All entities extend this
@Entity
@Table(name = "members")
@Getter
@Builder
@NoArgsConstructor
@AllArgsConstructor
public class Member extends AbstractTenantEntity {
// domain fields only — no id/tenantId/audit fields here
}
```
### Transaction Boundaries
- `@Transactional` belongs on **service layer** methods only
- Controllers and repositories must not declare `@Transactional`
- Use `@Transactional(readOnly = true)` for query-only methods — improves performance with Hibernate's read-only session optimization
```java
// ✅ Service layer — correct
@Service
@RequiredArgsConstructor
public class MemberService {
@Transactional(readOnly = true)
public MemberSummaryDto getById(UUID memberId, UUID tenantId) { ... }
@Transactional
public void updateMemberStatus(UUID memberId, MemberStatus status, UUID tenantId) { ... }
}
// ❌ Controller — prohibited
@RestController
public class MemberController {
@Transactional // Never here
@GetMapping("/members/{id}")
public MemberSummaryDto getMember(@PathVariable UUID id) { ... }
}
```
### Lombok Usage
| Annotation | Allowed | Notes |
|---|---|---|
| `@Getter` | ✅ | On entities and DTOs |
| `@Setter` | ✅ | Use sparingly on entities; prefer builder pattern |
| `@Builder` | ✅ | On entities and DTOs |
| `@RequiredArgsConstructor` | ✅ | Services, beans (for DI) |
| `@NoArgsConstructor` | ✅ | JPA requires no-arg constructor |
| `@AllArgsConstructor` | ✅ | With `@Builder` |
| `@ToString` | ✅ | Exclude sensitive fields: `@ToString.Exclude` on `passwordHash` etc. |
| `@EqualsAndHashCode` | ✅ | Entities: only on `id` field |
| `@Data` | ❌ | **Prohibited on entities** — generates mutable setters for all fields, breaks JPA proxy patterns |
| `@SneakyThrows` | ❌ | Never hide checked exceptions |
### Code Style
- **Checkstyle config:** Google Java Style Guide (`checkstyle-google.xml` in parent POM)
- **Indentation:** 4 spaces (no tabs)
- **Line length:** 120 characters max
- **No magic numbers** — use named constants or enums:
```java
// ❌ Magic number
if (member.getAge() < 21) { limit = 30; }
// ✅ Named constant
if (member.getAge() < ComplianceConstants.AGE_LIMIT_UNDER21) {
limit = ComplianceConstants.MONTHLY_LIMIT_UNDER21_GRAMS;
}
```
---
## 3. Compliance Code Rules
These rules apply exclusively to code that enforces CanG (Cannabisgesetz) distribution limits. Violations here carry legal risk.
### Compliance Constants
All legal limits live in a single, centrally tested constants class. **Never hardcode these values inline.**
```java
// de.cannamanage.domain.compliance.ComplianceConstants
public final class ComplianceConstants {
private ComplianceConstants() {} // no instantiation
/** Maximum grams per single distribution for any member. */
public static final BigDecimal DAILY_LIMIT_GRAMS = new BigDecimal("25.0");
/** Monthly gram limit for adult members (age ≥ 21). */
public static final BigDecimal MONTHLY_LIMIT_ADULT_GRAMS = new BigDecimal("50.0");
/** Monthly gram limit for members under 21 years of age (CanG §10 Abs.1). */
public static final BigDecimal MONTHLY_LIMIT_UNDER21_GRAMS = new BigDecimal("30.0");
/** Age threshold below which the reduced monthly limit applies. */
public static final int AGE_LIMIT_UNDER21 = 21;
/** Minimum age for club membership (CanG §15 Abs.1). */
public static final int MINIMUM_MEMBER_AGE = 18;
}
```
### ComplianceService Rules
1. `ComplianceService` methods **must always execute within a `@Transactional` boundary** — either by being called from a service method already in a transaction, or by declaring `@Transactional` themselves. The compliance check and the distribution record creation must be atomic.
2. Every public method in `ComplianceService` must have a corresponding test in `ComplianceServiceTest` that exercises its boundary conditions.
3. `ComplianceService` is the **only** class permitted to read `ComplianceConstants` limits and make pass/fail decisions. No other class performs limit arithmetic.
```java
@Service
@RequiredArgsConstructor
public class ComplianceService {
private final DistributionRepository distributionRepository;
/**
* Validates whether a distribution of the given weight is permitted for the member.
*
* <p>Checks the daily single-distribution limit and the member's monthly quota.
* Must be called inside an existing @Transactional boundary — the calling
* DistributionService is responsible for the transaction.
*
* @param memberId the member receiving the distribution
* @param tenantId the club's tenant identifier
* @param weightGrams the proposed distribution weight in grams
* @return QuotaOk if permitted; QuotaWarning if >80% used; QuotaExceeded if over limit
* @throws IllegalArgumentException if weightGrams exceeds DAILY_LIMIT_GRAMS
*/
public QuotaResult checkDistributionAllowed(UUID memberId, UUID tenantId, BigDecimal weightGrams) {
if (weightGrams.compareTo(ComplianceConstants.DAILY_LIMIT_GRAMS) > 0) {
throw new IllegalArgumentException(
"Single distribution exceeds daily limit of " + ComplianceConstants.DAILY_LIMIT_GRAMS + "g");
}
// ... monthly quota logic using ComplianceConstants
}
}
```
### Distribution Record Immutability
Once written, a `Distribution` record may never be modified (legal audit trail requirement). Enforce this at the JPA level:
```java
@Entity
@Table(name = "distributions")
@Getter
@Builder
@NoArgsConstructor
@AllArgsConstructor
public class Distribution extends AbstractTenantEntity {
@Column(name = "member_id", nullable = false, updatable = false)
private UUID memberId;
@Column(name = "batch_id", nullable = false, updatable = false)
private UUID batchId;
@Column(name = "weight_grams", nullable = false, updatable = false,
precision = 8, scale = 2)
private BigDecimal weightGrams;
@Column(name = "distributed_at", nullable = false, updatable = false)
private Instant distributedAt;
@Column(name = "recorded_by_admin_id", nullable = false, updatable = false)
private UUID recordedByAdminId;
// No setters — @Getter only, no @Setter
// updatable = false on ALL columns — Hibernate will reject any UPDATE attempt
}
```
### Compliance Test Coverage Requirement
`ComplianceServiceTest` must include at minimum:
| Test Method | What It Covers |
|---|---|
| `checkDistributionAllowed_givenWeightAt25g_shouldReturnQuotaOk` | Exactly at daily limit |
| `checkDistributionAllowed_givenWeightOver25g_shouldThrowIllegalArgument` | Daily limit exceeded |
| `checkDistributionAllowed_givenMemberAtMonthlyLimit_shouldReturnQuotaExceeded` | Adult at 50g |
| `checkDistributionAllowed_givenUnder21MemberAt30g_shouldReturnQuotaExceeded` | Under-21 at 30g |
| `checkDistributionAllowed_givenUnder21MemberAtAdultLimit_shouldReturnQuotaExceeded` | Under-21 must not reach 50g |
| `checkDistributionAllowed_givenMemberAt80Percent_shouldReturnQuotaWarning` | Warning threshold |
| `checkDistributionAllowed_givenMemberAt40g_shouldReturnQuotaOk` | Normal adult, within limit |
---
## 4. Git Strategy
### Branching Model — GitHub Flow (Solo Dev)
```
main ──────────────────────────────────────────────────────► (production-ready)
│ │ │
└─► feature/US-042─┘ └─► fix/member-age-edge ─┘
```
| Branch | Purpose | Merge Via |
|---|---|---|
| `main` | Production-ready code only; protected | PR only |
| `develop` | Integration branch for in-progress work | Merge to main when stable |
| `feature/US-XXX-short-description` | New feature tied to a user story | PR → develop → main |
| `fix/short-description` | Bug fix | PR → main (or develop if risk is low) |
| `chore/short-description` | Dependency updates, config, CI | PR → main |
**Branch naming examples:**
- `feature/US-042-compliance-quota-check`
- `feature/US-015-member-registration-form`
- `fix/member-under21-age-boundary`
- `chore/update-spring-boot-3.3.1`
### Commit Message Format — Conventional Commits
```
type(scope): short description (imperative, ≤72 chars)
[optional body — explain WHY, not WHAT; reference CanG sections if relevant]
[optional footer]
BREAKING CHANGE: description if applicable
Closes #issue-number
```
#### Types
| Type | When to Use |
|---|---|
| `feat` | New feature or user-visible behavior |
| `fix` | Bug fix |
| `docs` | Documentation only |
| `style` | Formatting, whitespace — no logic change |
| `refactor` | Code restructuring — no behavior change |
| `test` | Adding or updating tests |
| `chore` | Build, deps, config, CI — no production code |
#### Scopes
| Scope | Module / Area |
|---|---|
| `member` | Member management |
| `distribution` | Distribution recording and history |
| `stock` | Strain and batch management |
| `compliance` | `ComplianceService`, `ComplianceConstants`, CanG limits |
| `auth` | JWT, Spring Security, login |
| `report` | PDF/CSV generation |
| `infra` | Docker, CI, Flyway migrations |
| `web` | PrimeFaces JSF views and backing beans |
| `api` | REST controllers and DTOs |
#### Commit Examples
```bash
feat(compliance): add daily 25g distribution limit check
Implements CanG §10 Abs.1 single-distribution cap. ComplianceService
now throws IllegalArgumentException before any quota calculation if
weightGrams > ComplianceConstants.DAILY_LIMIT_GRAMS.
fix(member): correct under-21 flag when age is exactly 21
Age comparison was using < instead of <=. Members who turn 21 on the
exact distribution date now correctly receive the adult (50g) limit.
Closes #17
test(distribution): add quota boundary tests for 30g under-21 limit
Adds 6 parameterized test cases covering 28g, 29g, 29.9g, 30g, 30.1g,
and 31g for under-21 members. All reference ComplianceConstants — no
hardcoded values in test assertions.
chore(deps): update Spring Boot to 3.3.1
CVE-2024-38821 fix included. No API changes required.
docs(compliance): document ComplianceConstants usage policy in README
```
### Tag Strategy
Semantic versioning: `v{MAJOR}.{MINOR}.{PATCH}`
```bash
git tag -a v1.0.0 -m "Initial release — core member + distribution management"
git tag -a v1.1.0 -m "Add member portal with quota view"
git tag -a v1.0.1 -m "Fix under-21 monthly limit boundary condition"
```
---
## 5. Testing Standards
### Framework Stack
| Layer | Framework | Annotation / Config |
|---|---|---|
| Unit tests | JUnit 5 + Mockito | `@ExtendWith(MockitoExtension.class)` |
| Integration tests | Spring Boot Test + Testcontainers | `@SpringBootTest`, `@Testcontainers` |
| Web layer tests | `MockMvc` | `@WebMvcTest(DistributionController.class)` |
| Repository tests | `DataJpaTest` + Testcontainers | Real PostgreSQL via Testcontainers |
| PDF generation tests | JUnit 5 + iText assertions | Verify PDF structure, not pixel comparison |
### Test Naming Convention
```
methodName_givenCondition_shouldExpectedBehavior
```
```java
// ✅ Correct
@Test
void checkDistributionAllowed_givenMemberAtMonthlyLimit_shouldThrowQuotaExceededException()
@Test
void createDistribution_givenValidRequest_shouldPersistAndReturnDto()
@Test
void getQuotaRemaining_givenUnder21Member_shouldCapAt30g()
@Test
void generateMonthlyReport_givenNoPriorDistributions_shouldReturnZeroTotals()
```
### Unit Test Structure
```java
@ExtendWith(MockitoExtension.class)
class ComplianceServiceTest {
@Mock
private DistributionRepository distributionRepository;
@InjectMocks
private ComplianceService complianceService;
@Test
void checkDistributionAllowed_givenMemberAtMonthlyLimit_shouldReturnQuotaExceeded() {
// GIVEN
UUID memberId = UUID.randomUUID();
UUID tenantId = UUID.randomUUID();
BigDecimal currentMonthTotal = ComplianceConstants.MONTHLY_LIMIT_ADULT_GRAMS;
when(distributionRepository.sumWeightByMemberAndMonth(eq(memberId), eq(tenantId), any()))
.thenReturn(currentMonthTotal);
// WHEN
QuotaResult result = complianceService.checkDistributionAllowed(
memberId, tenantId, new BigDecimal("1.0"));
// THEN
assertThat(result).isInstanceOf(QuotaExceeded.class);
}
}
```
### Integration Test Structure
```java
@SpringBootTest
@Testcontainers
@Transactional // rolls back after each test
class DistributionServiceIntegrationTest {
@Container
static PostgreSQLContainer<?> postgres = new PostgreSQLContainer<>("postgres:16-alpine");
@DynamicPropertySource
static void configureDataSource(DynamicPropertyRegistry registry) {
registry.add("spring.datasource.url", postgres::getJdbcUrl);
registry.add("spring.datasource.username", postgres::getUsername);
registry.add("spring.datasource.password", postgres::getPassword);
}
// Tests run against real PostgreSQL — Flyway migrations apply automatically
}
```
### Coverage Target
| Module | Line Coverage Target |
|---|---|
| `cannamanage-service` | **≥ 80%** (enforced by JaCoCo in CI) |
| `cannamanage-domain` | ≥ 70% (entities + value objects) |
| `cannamanage-api` | ≥ 70% (controllers via MockMvc) |
| `cannamanage-report` | ≥ 60% (PDF generation harder to test) |
| `cannamanage-web` | Best effort (JSF backing beans — limited testability) |
### Test Rules
1. **No test may hardcode a compliance limit value.** All assertions must reference `ComplianceConstants`:
```java
// ❌ Prohibited
assertThat(limit).isEqualTo(new BigDecimal("50.0"));
// ✅ Required
assertThat(limit).isEqualTo(ComplianceConstants.MONTHLY_LIMIT_ADULT_GRAMS);
```
2. Parameterized tests (`@ParameterizedTest`) are strongly preferred for boundary condition coverage.
3. Test data builders (or fixtures) must live in `src/test/java/.../fixtures/` — no anonymous object creation scattered across test methods.
---
## 6. Code Review Checklist
Since CannaManage is a solo development project, a self-review checklist replaces a peer review process. All items must be checked before merging any PR to `main`.
### Self-Review Checklist
```markdown
## Compliance & Legal
- [ ] All distribution limits reference `ComplianceConstants` — zero hardcoded values
- [ ] `Distribution` entity fields are annotated `@Column(updatable = false)` where required
- [ ] `ComplianceService` calls are only made inside `@Transactional` boundaries
- [ ] New compliance rules have corresponding unit tests in `ComplianceServiceTest`
## Data & Multi-Tenancy
- [ ] New entity extends `AbstractTenantEntity`
- [ ] `tenant_id` is never accepted from user input (HTTP body, query param, path variable)
- [ ] All repository queries filter by `tenantId` — no cross-tenant data leakage possible
## Security & DSGVO
- [ ] No PII in log statements (no email, full name, member number in log lines)
- [ ] No passwords, tokens, or secrets hardcoded anywhere
- [ ] New REST endpoints annotated with `@PreAuthorize`
- [ ] DTOs validated with Bean Validation annotations (`@NotNull`, `@Size`, etc.)
## Database
- [ ] Flyway migration file added for any schema change (`V{n}__description.sql`)
- [ ] Migration file is backward-compatible or includes rollback notes
- [ ] No `@Column(nullable = false)` added without corresponding DB migration
## Code Quality
- [ ] Constructor injection used — no `@Autowired` field injection
- [ ] No `@Data` on JPA entities
- [ ] No magic numbers — named constants or enums used
- [ ] Checkstyle passes locally (`./mvnw checkstyle:check`)
- [ ] Javadoc on all public service methods
## Testing
- [ ] Unit test added for new service method
- [ ] Integration test updated if schema or contract changed
- [ ] Test coverage does not decrease in `cannamanage-service`
- [ ] Test method names follow `method_givenCondition_shouldExpect` pattern
## General
- [ ] Commit message follows Conventional Commits format
- [ ] Branch name follows `feature/US-XXX-` or `fix/` convention
- [ ] No `TODO` comments left in production code (use GitHub Issues instead)
```
---
## 7. Security Standards
### Authentication & Authorization
```java
// JWT secret from environment only — never in application.properties
@Value("${JWT_SECRET}")
private String jwtSecret;
// All endpoints behind @PreAuthorize — no security by obscurity
@RestController
@RequestMapping("/api/v1/distributions")
public class DistributionController {
@GetMapping
@PreAuthorize("hasRole('ADMIN')")
public Page<DistributionDto> list(...) { ... }
@PostMapping
@PreAuthorize("hasRole('ADMIN')")
public DistributionDto create(...) { ... }
}
// Member portal endpoints restricted to role + own data
@GetMapping("/api/v1/member/quota")
@PreAuthorize("hasRole('MEMBER') and #memberId == authentication.principal.memberId")
public QuotaDto getQuota(@RequestParam UUID memberId) { ... }
```
### CORS Configuration
```java
@Bean
CorsConfigurationSource corsConfigurationSource() {
CorsConfiguration config = new CorsConfiguration();
// No wildcard — club subdomain only
config.setAllowedOriginPatterns(List.of("https://*.cannamanage.de"));
config.setAllowedMethods(List.of("GET", "POST", "PUT", "DELETE", "OPTIONS"));
config.setAllowedHeaders(List.of("Authorization", "Content-Type"));
config.setAllowCredentials(true);
// ...
}
```
### Input Validation
All DTOs must be annotated with Bean Validation constraints. The controller calls `@Valid` on request bodies.
```java
public record CreateDistributionRequest(
@NotNull(message = "Member ID is required")
UUID memberId,
@NotNull(message = "Batch ID is required")
UUID batchId,
@NotNull(message = "Weight is required")
@DecimalMin(value = "0.1", message = "Weight must be at least 0.1g")
@DecimalMax(value = "25.0", message = "Weight cannot exceed daily limit")
BigDecimal weightGrams
) {}
```
### SQL Injection Prevention
- **JPA named queries only** — no string concatenation in JPQL
- Spring Data JPA repository methods generate parameterized queries automatically
- Native SQL queries use `@Query` with named parameters (`:param` syntax), never `+`
```java
// ✅ Safe — parameterized
@Query("SELECT SUM(d.weightGrams) FROM Distribution d WHERE d.memberId = :memberId AND d.tenantId = :tenantId AND MONTH(d.distributedAt) = :month")
BigDecimal sumWeightByMemberAndMonth(@Param("memberId") UUID memberId,
@Param("tenantId") UUID tenantId,
@Param("month") int month);
// ❌ Prohibited — SQL injection risk
String jpql = "SELECT ... WHERE name = '" + memberName + "'";
```
### Password Hashing
```java
@Bean
PasswordEncoder passwordEncoder() {
return new BCryptPasswordEncoder(12); // strength 12 — ~250ms per hash on modern hardware
}
```
### Sensitive Data Logging
```java
// ❌ Never log PII
log.info("Processing distribution for member: {}", member.getEmail());
log.info("Member {} requested quota", member.getFullName());
// ✅ Log with opaque identifiers only
log.info("Processing distribution for memberId={} tenantId={}", member.getId(), tenantId);
log.info("Quota check passed for memberId={}", memberId);
```
---
## 8. Environment Configuration
### Environment Variables Reference
All secrets and environment-specific configuration are provided via environment variables. Never commit secrets to version control.
| Variable | Required | Default | Description |
|---|---|---|---|
| `DB_URL` | ✅ | — | JDBC URL, e.g. `jdbc:postgresql://localhost:5432/cannamanage` |
| `DB_USERNAME` | ✅ | — | PostgreSQL username |
| `DB_PASSWORD` | ✅ | — | PostgreSQL password |
| `JWT_SECRET` | ✅ | — | 256-bit (32-byte) random secret for JWT signing; generate with `openssl rand -base64 32` |
| `JWT_ACCESS_TTL_HOURS` | ❌ | `8` | Access token TTL in hours |
| `JWT_REFRESH_TTL_DAYS` | ❌ | `30` | Refresh token TTL in days |
| `STRIPE_SECRET_KEY` | ✅ (billing) | — | Stripe secret key (starts with `sk_live_` in production) |
| `STRIPE_WEBHOOK_SECRET` | ✅ (billing) | — | Stripe webhook signing secret for subscription events |
| `MAIL_HOST` | ✅ | — | SMTP host for transactional emails |
| `MAIL_USERNAME` | ✅ | — | SMTP username |
| `MAIL_PASSWORD` | ✅ | — | SMTP password |
| `MAIL_FROM` | ❌ | `noreply@cannamanage.de` | From address for system emails |
| `SENTRY_DSN` | ❌ | — | Sentry DSN for error tracking; omit to disable |
| `APP_BASE_URL` | ✅ | — | Application base URL, e.g. `https://meinclub.cannamanage.de` |
| `ADMIN_INITIAL_EMAIL` | ❌ | — | Seed admin email on first startup (Flyway data migration) |
| `ADMIN_INITIAL_PASSWORD` | ❌ | — | Seed admin password — change immediately after first login |
### `application.properties` Pattern
```properties
# application.properties — references env vars only; no values hardcoded
spring.datasource.url=${DB_URL}
spring.datasource.username=${DB_USERNAME}
spring.datasource.password=${DB_PASSWORD}
spring.jpa.hibernate.ddl-auto=validate
spring.flyway.enabled=true
spring.flyway.locations=classpath:db/migration
jwt.secret=${JWT_SECRET}
jwt.access.ttl-hours=${JWT_ACCESS_TTL_HOURS:8}
jwt.refresh.ttl-days=${JWT_REFRESH_TTL_DAYS:30}
stripe.secret-key=${STRIPE_SECRET_KEY}
stripe.webhook-secret=${STRIPE_WEBHOOK_SECRET}
spring.mail.host=${MAIL_HOST}
spring.mail.username=${MAIL_USERNAME}
spring.mail.password=${MAIL_PASSWORD}
sentry.dsn=${SENTRY_DSN:}
```
### Profile Strategy
> **`spring.profiles.active=prod` is NOT a security mechanism.** Never use profile-based condition checks to gate security-relevant behavior (e.g., `@ConditionalOnProperty(name="spring.profiles.active", havingValue="prod")`).
Profiles are used **only** for infrastructure wiring (in-memory H2 vs. real PostgreSQL for tests, Testcontainers vs. external DB).
| Profile | Usage |
|---|---|
| `(none)` | Production — all config from environment variables |
| `test` | JUnit integration tests — Testcontainers PostgreSQL |
| `dev` | Local development — Docker Compose PostgreSQL, verbose SQL logging |
### Local Development Setup
```bash
# Start local PostgreSQL via Docker Compose
docker compose up -d postgres
# Run with dev profile (verbose SQL, local DB)
./mvnw spring-boot:run -Dspring-boot.run.profiles=dev \
-Dspring-boot.run.arguments="--DB_URL=jdbc:postgresql://localhost:5432/cannamanage_dev \
--DB_USERNAME=cannamanage --DB_PASSWORD=dev_password \
--JWT_SECRET=$(openssl rand -base64 32)"
```
---
*End of CannaManage coding standards. See also [03-ARCHITECTURE.md](03-ARCHITECTURE.md) for data model and [05-API-SPEC.md](05-API-SPEC.md) for REST contract.*
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# 08 — Test Plan
**Project:** CannaManage — B2B SaaS for German Cannabis Social Clubs
**Version:** 0.1.0-PLAN
**Date:** 2026-04-06
**Status:** Draft
---
## 1. Test Strategy Overview
### 1.1 Testing Pyramid
```
┌─────────────────┐
│ E2E Tests │ 10% — Playwright (deferred to v2)
│ (10%) │
├─────────────────┤
│ Integration │ 20% — Spring Boot Test + Testcontainers
│ Tests (20%) │
├─────────────────┤
│ Unit Tests │ 70% — JUnit 5 + Mockito
│ (70%) │
└─────────────────┘
```
The compliance-critical path (`ComplianceService`) requires **100% line coverage** — no exceptions. Every quota rule is a legal obligation under CanG §§1922.
### 1.2 Tools and Frameworks
| Layer | Tool | Purpose |
|-------|------|---------|
| Unit | JUnit 5 (`junit-jupiter`) | Test runner |
| Unit | Mockito 5 | Mock dependencies |
| Unit | AssertJ | Fluent assertions |
| Integration | Spring Boot Test (`@SpringBootTest`) | Full application context |
| Integration | Testcontainers (PostgreSQL module) | Real DB in Docker |
| Integration | MockMvc / RestAssured | HTTP layer testing |
| Coverage | JaCoCo | Line/branch coverage reporting |
| E2E | Playwright (Java) | Browser automation — **deferred to v2** |
### 1.3 CI Trigger Policy
| Branch pattern | Tests run |
|---------------|-----------|
| `feature/*` | Unit tests only (`./mvnw test`) |
| `develop` | Unit + Integration (`./mvnw verify -P integration-tests`) |
| `main` | Unit + Integration + coverage gate |
Coverage gate blocks merge to `main` if `ComplianceService` drops below 100%.
---
## 2. Unit Test Cases — ComplianceService
**Class under test:** `de.cannamanage.service.ComplianceService`
**Dependencies mocked:** `DistributionRepository`, `MemberRepository`, `StrainRepository`
---
**TC-001** | `checkDistributionAllowed_givenAdultAtMonthlyLimit_shouldThrowQuotaExceededMonthly`
- **Given:** Adult member (age 35) with exactly 50.0g distributed this calendar month, requesting 1.0g more
- **When:** `complianceService.checkDistributionAllowed(memberId, 1.0)`
- **Then:** Throws `QuotaExceededException` with code `QUOTA_EXCEEDED_MONTHLY`
- **Compliance ref:** CanG §19(2) — 50g/month limit for adults
---
**TC-002** | `checkDistributionAllowed_givenUnder21AtMonthlyLimit_shouldThrowQuotaExceededMonthly`
- **Given:** Under-21 member (age 18) with exactly 30.0g distributed this calendar month, requesting 1.0g more
- **When:** `complianceService.checkDistributionAllowed(memberId, 1.0)`
- **Then:** Throws `QuotaExceededException` with code `QUOTA_EXCEEDED_MONTHLY`
- **Compliance ref:** CanG §19(3) — 30g/month limit for under-21 members
---
**TC-003** | `checkDistributionAllowed_givenAdultAtDailyLimit_shouldThrowQuotaExceededDaily`
- **Given:** Adult member with exactly 25.0g distributed today, requesting 0.5g more
- **When:** `complianceService.checkDistributionAllowed(memberId, 0.5)`
- **Then:** Throws `QuotaExceededException` with code `QUOTA_EXCEEDED_DAILY`
- **Compliance ref:** CanG §19(2) — 25g/day limit
---
**TC-004** | `checkDistributionAllowed_givenUnder21RequestingHighThcStrain_shouldThrowHighThcRestricted`
- **Given:** Under-21 member (age 20), requesting a strain with THC content 12.5% (exceeds 10% threshold)
- **When:** `complianceService.checkDistributionAllowed(memberId, 5.0, strainId)`
- **Then:** Throws `QuotaExceededException` with code `HIGH_THC_RESTRICTED_UNDER_21`
- **Compliance ref:** CanG §19(4) — under-21 members restricted to ≤10% THC strains
---
**TC-005** | `checkDistributionAllowed_givenAdultAt49gMonthlyRequesting2g_shouldThrowQuotaExceededMonthly`
- **Given:** Adult member with 49.0g distributed this month, requesting 2.0g (would total 51.0g)
- **When:** `complianceService.checkDistributionAllowed(memberId, 2.0)`
- **Then:** Throws `QuotaExceededException` with code `QUOTA_EXCEEDED_MONTHLY`
- **Note:** Even partial over-quota requests must be rejected in full; no partial fulfillment
---
**TC-006** | `checkDistributionAllowed_givenAdultAt0gRequesting25g_shouldReturnAllowed`
- **Given:** Adult member with 0.0g distributed this month and today, requesting 25.0g
- **When:** `complianceService.checkDistributionAllowed(memberId, 25.0)`
- **Then:** Returns `DistributionAllowedResult` with `allowed = true`, `remainingDaily = 0.0`, `remainingMonthly = 25.0`
- **Note:** Exactly at daily limit — allowed
---
**TC-007** | `checkDistributionAllowed_givenAdultAt24_9gDailyRequesting0_1g_shouldReturnAllowed`
- **Given:** Adult member with 24.9g distributed today, requesting 0.1g (would reach exactly 25.0g)
- **When:** `complianceService.checkDistributionAllowed(memberId, 0.1)`
- **Then:** Returns `allowed = true`, `remainingDaily = 0.0`
- **Note:** Boundary — exactly at limit is allowed
---
**TC-008** | `checkDistributionAllowed_givenAdultAt24_9gDailyRequesting0_2g_shouldThrowQuotaExceededDaily`
- **Given:** Adult member with 24.9g distributed today, requesting 0.2g (would total 25.1g)
- **When:** `complianceService.checkDistributionAllowed(memberId, 0.2)`
- **Then:** Throws `QuotaExceededException` with code `QUOTA_EXCEEDED_DAILY`
- **Note:** Boundary + 1 — must be blocked
---
**TC-009** | `checkDistributionAllowed_givenSuspendedMember_shouldThrowMemberInactive`
- **Given:** Member with `status = MemberStatus.SUSPENDED`, requesting any amount
- **When:** `complianceService.checkDistributionAllowed(memberId, 1.0)`
- **Then:** Throws `QuotaExceededException` with code `MEMBER_INACTIVE`
- **Note:** Status check must occur before any quota calculation
---
**TC-010** | `checkDistributionAllowed_givenExpelledMember_shouldThrowMemberInactive`
- **Given:** Member with `status = MemberStatus.EXPELLED`, requesting any amount
- **When:** `complianceService.checkDistributionAllowed(memberId, 5.0)`
- **Then:** Throws `QuotaExceededException` with code `MEMBER_INACTIVE`
- **Note:** Expelled members are permanently blocked, no quota check performed
---
## 3. Unit Test Cases — MemberService
**Class under test:** `de.cannamanage.service.MemberService`
**Dependencies mocked:** `MemberRepository`, `ClubRepository`, `PasswordEncoder`
---
**TC-011** | `createMember_givenAge17_shouldThrowUnderageException`
- **Given:** `CreateMemberRequest` with DOB resulting in age 17 at time of registration
- **When:** `memberService.createMember(request, tenantId)`
- **Then:** Throws `UnderageException` with message containing minimum age (18)
- **Compliance ref:** CanG §6(1) — membership requires minimum age 18
---
**TC-012** | ~~`createMember_givenAge18_shouldSucceedAndSetIsUnder21False`~~*this case is incorrect*
> **Note:** Age 18 IS under 21, therefore `isUnder21 = true`. See TC-013.
---
**TC-013** | `createMember_givenAge18_shouldSucceedAndSetIsUnder21True`
- **Given:** `CreateMemberRequest` with DOB resulting in age 18 at time of registration
- **When:** `memberService.createMember(request, tenantId)`
- **Then:** Returns created `Member` with `isUnder21 = true`, `status = ACTIVE`
- **Note:** The 18-year-old flag matters for quota enforcement (30g/month, ≤10% THC)
---
**TC-014** | `createMember_givenAge21_shouldSucceedAndSetIsUnder21False`
- **Given:** `CreateMemberRequest` with DOB resulting in age exactly 21 at time of registration
- **When:** `memberService.createMember(request, tenantId)`
- **Then:** Returns created `Member` with `isUnder21 = false`, `status = ACTIVE`
- **Note:** Age 21 is the boundary — exactly 21 qualifies as adult for quota purposes
---
**TC-015** | `createMember_givenDuplicateEmail_shouldThrowDuplicateMemberException`
- **Given:** `MemberRepository.existsByEmailAndTenantId(email, tenantId)` returns `true`
- **When:** `memberService.createMember(request, tenantId)`
- **Then:** Throws `DuplicateMemberException` with code `DUPLICATE_EMAIL`
- **Note:** Email uniqueness is per-tenant, not global
---
## 4. Unit Test Cases — Tenant Isolation
**Class under test:** JPA repositories with `@TenantAware` filter active
**Setup:** Thread-local `TenantContext` populated via `TenantContextHolder.setTenantId()`
---
**TC-016** | `distributionRepository_givenTenantAContext_shouldNotReturnTenantBData`
- **Given:** Two tenants (Tenant A: UUID-A, Tenant B: UUID-B); 5 distributions for each; `TenantContextHolder` set to UUID-A
- **When:** `distributionRepository.findAll()`
- **Then:** Returns exactly 5 records, all with `tenantId = UUID-A`; zero records from Tenant B
- **Note:** Hibernate filter `tenantFilter` must be enabled in `TenantAwareInterceptor`
---
**TC-017** | `memberRepository_givenTenantAContext_shouldNotSeeClubBMembers`
- **Given:** 10 members in Club A, 8 members in Club B; context set to Club A's tenant
- **When:** `memberRepository.findAll()`
- **Then:** Returns exactly 10 records; no member from Club B present
- **Note:** Cross-tenant data leakage is a GDPR violation, not just a business bug
---
## 5. Integration Test Cases (Testcontainers)
**Setup:** `@SpringBootTest(webEnvironment = RANDOM_PORT)` with `@Testcontainers`; real PostgreSQL 16 container; Flyway migrations applied before each test class.
---
**TC-018** | `POST /api/v1/distributions — successful distribution recording`
- **Given:** Active adult member with 0g distributed; valid `DistributionRequest` for 10.0g; authenticated as `ROLE_ADMIN`
- **When:** `POST /api/v1/distributions` with valid JWT
- **Then:** HTTP 201; response body contains `distributionId`, `amount = 10.0`, `recordedAt`; DB contains one `distribution` row with `is_recalled = false`
---
**TC-019** | `POST /api/v1/distributions — quota exceeded returns 422`
- **Given:** Adult member with 50.0g already distributed this month; requesting 1.0g more
- **When:** `POST /api/v1/distributions`
- **Then:** HTTP 422; response body `{"errorCode": "QUOTA_EXCEEDED_MONTHLY", "remainingMonthly": 0.0}`
---
**TC-020** | `POST /api/v1/distributions — concurrent race condition (last gram)`
- **Given:** Adult member with 24.9g distributed today; two concurrent requests each for 0.2g (both would individually exceed 25g/day)
- **When:** Both requests fired simultaneously via two threads
- **Then:** Exactly one succeeds (HTTP 201); exactly one fails (HTTP 422 `QUOTA_EXCEEDED_DAILY`); DB total does not exceed 25.0g
- **Mechanism:** `SELECT ... FOR UPDATE` on quota aggregation query prevents double-spend
---
**TC-021** | `POST /api/v1/auth/login — valid credentials return JWT`
- **Given:** Admin user with email `admin@test-club.de`, correct password
- **When:** `POST /api/v1/auth/login` with `{"email": "admin@test-club.de", "password": "..."}`
- **Then:** HTTP 200; response contains `accessToken` (JWT), `tokenType = "Bearer"`, `expiresIn = 3600`
---
**TC-022** | `POST /api/v1/auth/login — invalid credentials return 401`
- **Given:** Admin user exists; wrong password provided
- **When:** `POST /api/v1/auth/login` with wrong password
- **Then:** HTTP 401; response `{"errorCode": "INVALID_CREDENTIALS"}`; no token issued
---
**TC-023** | `GET /api/v1/members — ROLE_MEMBER accessing admin endpoint returns 403`
- **Given:** Authenticated user with `ROLE_MEMBER` JWT (not ROLE_ADMIN)
- **When:** `GET /api/v1/members` (admin-only endpoint)
- **Then:** HTTP 403; response `{"errorCode": "FORBIDDEN"}`
---
**TC-024** | `GET /api/v1/members/{id}/quota — member accessing own quota returns 200`
- **Given:** Authenticated member with JWT; requesting their own `memberId`
- **When:** `GET /api/v1/members/{ownId}/quota`
- **Then:** HTTP 200; response contains `dailyUsed`, `dailyRemaining`, `monthlyUsed`, `monthlyRemaining`, `isUnder21`
---
**TC-025** | `GET /api/v1/members/{otherMemberId}/quota — member accessing other member returns 403`
- **Given:** Authenticated member requesting quota of a *different* member (same club)
- **When:** `GET /api/v1/members/{otherMemberId}/quota`
- **Then:** HTTP 403; GDPR principle: members must not see each other's consumption data
---
**TC-026** | `POST /api/v1/stock/batches/{id}/recall — verify cascade`
- **Given:** Batch `BATCH-TEST-001` with 3 distributions recorded against it; `isRecalled = false`
- **When:** `POST /api/v1/stock/batches/BATCH-TEST-001/recall` with `{"reason": "Contamination detected"}`
- **Then:** HTTP 200; batch `isRecalled = true`; all 3 distribution records have `isRecalled = true`; response body contains list of 3 affected member IDs for notification
---
## 6. Test Data Fixtures
Define these constants in `src/test/java/de/cannamanage/fixtures/TestFixtures.java`:
```java
public final class TestFixtures {
// Tenant
public static final UUID TENANT_ID =
UUID.fromString("00000000-0000-0000-0000-000000000001");
public static final String CLUB_NAME = "Test Cannabis Club e.V.";
// Adult member
public static final UUID ADULT_MEMBER_ID =
UUID.fromString("00000000-0000-0000-0000-000000000010");
public static final String ADULT_MEMBER_NAME = "Klaus Mueller";
public static final LocalDate ADULT_MEMBER_DOB =
LocalDate.of(1990, 1, 1); // age 36 as of 2026
// Under-21 member
public static final UUID UNDER21_MEMBER_ID =
UUID.fromString("00000000-0000-0000-0000-000000000011");
public static final String UNDER21_MEMBER_NAME = "Lisa Mayer";
public static final LocalDate UNDER21_MEMBER_DOB =
LocalDate.of(2007, 1, 1); // age 19 as of 2026, isUnder21=true
// Strain
public static final UUID STRAIN_ID =
UUID.fromString("00000000-0000-0000-0000-000000000020");
public static final String STRAIN_NAME = "Test OG";
public static final double STRAIN_THC_PERCENT = 20.0;
public static final double STRAIN_CBD_PERCENT = 1.0;
// Batch
public static final String BATCH_NUMBER = "BATCH-TEST-001";
public static final double BATCH_INITIAL_WEIGHT_G = 500.0;
// Compliance constants (mirror ComplianceConstants.java)
public static final double ADULT_MONTHLY_LIMIT_G = 50.0;
public static final double UNDER21_MONTHLY_LIMIT_G = 30.0;
public static final double DAILY_LIMIT_G = 25.0;
public static final double UNDER21_MAX_THC_PERCENT = 10.0;
}
```
---
## 7. Coverage Requirements
| Module | Test Type | Minimum Coverage | Enforcement |
|--------|-----------|-----------------|-------------|
| `cannamanage-service` | Unit | 80% line | JaCoCo CI gate |
| `cannamanage-api` | Integration | 70% endpoint coverage | Manual checklist |
| `cannamanage-domain` | Unit | 60% line (entities/enums) | JaCoCo CI gate |
| `ComplianceService` | Unit | **100% line + branch** | JaCoCo CI gate — hard fail |
| `TenantIsolationFilter` | Unit + Integration | 90% line | JaCoCo CI gate |
> **Rationale for 100% on ComplianceService:** Each uncovered line is a potential legal violation. A missed branch in quota calculation could result in over-distribution — a criminal offence under CanG §34. This is not negotiable.
### JaCoCo Configuration (`pom.xml`)
```xml
<plugin>
<groupId>org.jacoco</groupId>
<artifactId>jacoco-maven-plugin</artifactId>
<version>0.8.12</version>
<executions>
<execution>
<id>jacoco-check</id>
<goals><goal>check</goal></goals>
<configuration>
<rules>
<rule>
<element>CLASS</element>
<includes>
<include>de.cannamanage.service.ComplianceService</include>
</includes>
<limits>
<limit>
<counter>LINE</counter>
<value>COVEREDRATIO</value>
<minimum>1.00</minimum>
</limit>
<limit>
<counter>BRANCH</counter>
<value>COVEREDRATIO</value>
<minimum>1.00</minimum>
</limit>
</limits>
</rule>
<rule>
<element>PACKAGE</element>
<includes>
<include>de.cannamanage.service.*</include>
</includes>
<limits>
<limit>
<counter>LINE</counter>
<value>COVEREDRATIO</value>
<minimum>0.80</minimum>
</limit>
</limits>
</rule>
</rules>
</configuration>
</execution>
</executions>
</plugin>
```
---
## 8. Test Execution
```bash
# Run all unit tests
./mvnw test -pl cannamanage-service
# Run integration tests (requires Docker for Testcontainers)
./mvnw verify -P integration-tests
# Run specific test class
./mvnw test -pl cannamanage-service -Dtest=ComplianceServiceTest
# Coverage report (output: target/site/jacoco/index.html)
./mvnw verify jacoco:report
# Coverage report for single module
./mvnw verify jacoco:report -pl cannamanage-service
# Run compliance tests only (tagged)
./mvnw test -pl cannamanage-service -Dgroups=compliance
# Check coverage gate (will fail build if thresholds not met)
./mvnw verify -P coverage-check
```
### Testcontainers Docker requirement
Integration tests require Docker available on the host. The PostgreSQL container is pulled automatically by Testcontainers on first run. Ensure:
- Docker daemon running: `systemctl start docker` (or `docker info`)
- User in `docker` group: `sudo usermod -aG docker $USER`
### Test annotation conventions
```java
// Unit test — no Spring context
@ExtendWith(MockitoExtension.class)
class ComplianceServiceTest { ... }
// Integration test — full context + Testcontainers
@SpringBootTest
@Testcontainers
@ActiveProfiles("test")
class DistributionIntegrationTest { ... }
// Tag compliance tests for selective execution
@Tag("compliance")
@Test
void checkDistributionAllowed_givenAdultAtMonthlyLimit_shouldThrowQuotaExceededMonthly() { ... }
```
@@ -0,0 +1,676 @@
# 09 — Deployment Guide
**Project:** CannaManage — B2B SaaS for German Cannabis Social Clubs
**Version:** 0.1.0-PLAN
**Date:** 2026-04-06
**Target environment:** Hetzner VPS — Ubuntu 22.04 LTS — Docker Compose (Release) | TrueNAS.local — Docker (Build/CI)
---
## 1. Prerequisites
### Hetzner VPS Specification
| Resource | Value | Monthly Cost |
|----------|-------|-------------|
| Server type | CX21 | ~€5.88/month |
| vCPU | 2 | — |
| RAM | 4 GB | — |
| SSD | 40 GB | — |
| Network | 20 TB transfer | — |
| OS | Ubuntu 22.04 LTS | — |
> **Scale-up trigger:** Upgrade to CX31 (8GB RAM) when concurrent active clubs exceeds 20. PostgreSQL is the memory consumer — headroom is consumed by connection pools, not application heap.
### DNS Setup
| Record | Type | Value |
|--------|------|-------|
| `cannamanage.de` | A | `<VPS-IP>` |
| `app.cannamanage.de` | A | `<VPS-IP>` |
| `*.cannamanage.de` | A | `<VPS-IP>` |
Wildcard A record enables future per-club subdomains (`clubname.cannamanage.de`) without additional DNS changes.
### Required Software
- Docker Engine 24+ (`docker.io` or Docker CE)
- Docker Compose v2 (`docker compose` — not `docker-compose`)
- Certbot with Nginx plugin (`python3-certbot-nginx`)
- OpenSSH server (enabled by default on Ubuntu)
---
## 2. Infrastructure Architecture
```mermaid
graph TB
Dev["👨‍💻 Dev Workstation\n(Fedora, 192.168.188.x)"]
Gitea["🏠 Gitea\n(truenas.local:30008)"]
TrueNAS["🖧 TrueNAS.local Docker\n(192.168.188.119)\nBuild + Staging"]
Hetzner["☁️ Hetzner VPS CX21\nProduction Release"]
Dev -->|"git push"| Gitea
Gitea -->|"Gitea Actions runner\n(on TrueNAS.local)"| TrueNAS
TrueNAS -->|"mvn package + docker build"| TrueNAS
TrueNAS -->|"docker save | scp\n(on merge to main)"| Hetzner
subgraph TrueNAS ["TrueNAS.local — CI/CD Build Environment"]
GiteaRunner["Gitea Actions Runner"]
BuildCache["Maven .m2 cache\n(persistent volume)"]
StagingDB["PostgreSQL staging\n(ephemeral)"]
end
subgraph Hetzner ["Hetzner VPS — Production Release Environment"]
Nginx["Nginx (reverse proxy + TLS)"]
App["cannamanage-app\n(Spring Boot 3.x)"]
DB["PostgreSQL 16\n(persistent pgdata volume)"]
Nginx -->|"proxy_pass :8080"| App
App -->|"JDBC :5432"| DB
end
Internet["🌍 Internet HTTPS"] -->|"port 443"| Nginx
```
### Environment Roles
| Environment | Host | Purpose |
|---|---|---|
| **Development** | Dev workstation (Fedora) | Local feature development, unit tests |
| **Build / CI** | TrueNAS.local Docker | Gitea Actions runner; Maven build; integration tests (Testcontainers); Docker image build |
| **Production / Release** | Hetzner VPS CX21 | Live clubs, real data; Hetzner = our release environment |
All three services on Hetzner run on an internal Docker bridge network (`cannamanage_net`). Only Nginx is exposed to the public internet. PostgreSQL has no external port binding.
---
## 3. Docker Compose Setup
**File:** `/opt/cannamanage/docker-compose.yml`
```yaml
version: '3.9'
networks:
cannamanage_net:
driver: bridge
volumes:
pgdata:
driver: local
nginx_certs:
driver: local
services:
nginx:
image: nginx:1.25-alpine
container_name: cannamanage-nginx
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- ./nginx/conf.d:/etc/nginx/conf.d:ro
- nginx_certs:/etc/letsencrypt:ro
- /var/log/nginx:/var/log/nginx
depends_on:
app:
condition: service_healthy
networks:
- cannamanage_net
restart: unless-stopped
app:
image: cannamanage:${VERSION:-latest}
container_name: cannamanage-app
environment:
- SPRING_DATASOURCE_URL=jdbc:postgresql://db:5432/cannamanage
- SPRING_DATASOURCE_USERNAME=${DB_USERNAME}
- SPRING_DATASOURCE_PASSWORD=${DB_PASSWORD}
- APP_JWT_SECRET=${JWT_SECRET}
- STRIPE_SECRET_KEY=${STRIPE_SECRET_KEY}
- STRIPE_WEBHOOK_SECRET=${STRIPE_WEBHOOK_SECRET}
- SPRING_MAIL_HOST=${MAIL_HOST}
- SPRING_MAIL_USERNAME=${MAIL_USERNAME}
- SPRING_MAIL_PASSWORD=${MAIL_PASSWORD}
- SENTRY_DSN=${SENTRY_DSN}
- SPRING_PROFILES_ACTIVE=production
depends_on:
db:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/actuator/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
networks:
- cannamanage_net
restart: unless-stopped
db:
image: postgres:16-alpine
container_name: cannamanage-db
environment:
- POSTGRES_DB=cannamanage
- POSTGRES_USER=${DB_USERNAME}
- POSTGRES_PASSWORD=${DB_PASSWORD}
volumes:
- pgdata:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${DB_USERNAME} -d cannamanage"]
interval: 10s
timeout: 5s
retries: 5
networks:
- cannamanage_net
restart: unless-stopped
# PostgreSQL port intentionally NOT exposed externally
```
**Nginx site config** (`/opt/cannamanage/nginx/conf.d/cannamanage.conf`):
```nginx
server {
listen 80;
server_name app.cannamanage.de;
return 301 https://$host$request_uri;
}
server {
listen 443 ssl http2;
server_name app.cannamanage.de;
ssl_certificate /etc/letsencrypt/live/app.cannamanage.de/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/app.cannamanage.de/privkey.pem;
ssl_protocols TLSv1.2 TLSv1.3;
ssl_ciphers HIGH:!aNULL:!MD5;
# Security headers
add_header Strict-Transport-Security "max-age=31536000" always;
add_header X-Frame-Options DENY;
add_header X-Content-Type-Options nosniff;
location / {
proxy_pass http://app:8080;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_read_timeout 60s;
}
# Stripe webhook — allow larger body
location /api/v1/billing/webhook {
proxy_pass http://app:8080;
proxy_set_header Host $host;
client_max_body_size 1m;
}
}
```
---
## 4. Environment Variables
**File:** `/opt/cannamanage/.env` (never committed to git — add to `.gitignore`)
```bash
# Database
DB_USERNAME=cannamanage_user
DB_PASSWORD=<strong-random-password-min-32-chars>
# JWT signing key (256-bit minimum — generate with: openssl rand -hex 32)
JWT_SECRET=<256-bit-random-hex>
# Stripe (use sk_live_ for production, sk_test_ for staging)
STRIPE_SECRET_KEY=sk_live_...
STRIPE_WEBHOOK_SECRET=whsec_...
# Email (SMTP)
MAIL_HOST=smtp.example.com
MAIL_PORT=587
MAIL_USERNAME=noreply@cannamanage.de
MAIL_PASSWORD=<mail-password>
MAIL_FROM=CannaManage <noreply@cannamanage.de>
# Error tracking
SENTRY_DSN=https://<key>@<org>.ingest.sentry.io/<project-id>
# Application version (set by CI during deploy)
VERSION=latest
```
> **Security:** Never store `.env` in version control. Use Gitea repository secrets for CI and inject at deploy time. On the VPS, set file permissions: `chmod 600 /opt/cannamanage/.env`.
---
## 5. First-Time Deployment
### Step 1 — Create Hetzner VPS
1. Log into [console.hetzner.cloud](https://console.hetzner.cloud)
2. Create server: **CX21**, Ubuntu 22.04, Nuremberg or Frankfurt datacenter
3. Add your SSH public key during setup (`cat ~/.ssh/id_ed25519.pub`)
4. Note the assigned IPv4 address — update DNS A records
### Step 2 — Install Docker + Docker Compose
```bash
ssh root@<VPS-IP>
# Update system
apt update && apt upgrade -y
# Install Docker
curl -fsSL https://get.docker.com | sh
# Add deploy user (never run production as root)
adduser deploy
usermod -aG docker deploy
usermod -aG sudo deploy
# Install Certbot
apt install -y python3-certbot-nginx certbot
```
### Step 3 — Clone Repository
```bash
su - deploy
mkdir -p /opt/cannamanage
cd /opt/cannamanage
git clone http://192.168.188.119:30008/pplate/cannamanage.git .
# Or from public mirror when available
```
### Step 4 — Create Production `.env`
```bash
cd /opt/cannamanage
cp .env.example .env
nano .env # Fill in all production secrets
chmod 600 .env
```
### Step 5 — Obtain SSL Certificate
```bash
# Stop anything on port 80 first (nothing should be running yet)
certbot certonly --standalone \
-d app.cannamanage.de \
--non-interactive \
--agree-tos \
-m ssl@cannamanage.de
# Symlink certs into nginx_certs volume location
# Certbot places certs at /etc/letsencrypt/live/app.cannamanage.de/
```
### Step 6 — Build Docker Image
```bash
# On the VPS (or build locally and push to registry)
./mvnw package -DskipTests -P production
docker build -t cannamanage:latest .
```
### Step 7 — Start Services
```bash
cd /opt/cannamanage
docker compose up -d
```
### Step 8 — Verify Health
```bash
# All containers should be 'healthy' or 'running'
docker compose ps
# Check application logs
docker compose logs -f app --tail=100
# Test health endpoint
curl -f http://localhost:8080/actuator/health
# Expected: {"status":"UP","components":{"db":{"status":"UP"},"diskSpace":{"status":"UP"}}}
```
### Step 9 — Flyway Migrations
Flyway runs automatically on Spring Boot startup. Verify migration log:
```bash
docker compose logs app | grep -i flyway
# Expected: Successfully applied N migrations to schema "public"
```
### Step 10 — Create First Admin User
```bash
# Option A: via REST API (recommended)
curl -X POST https://app.cannamanage.de/api/v1/admin/bootstrap \
-H "Content-Type: application/json" \
-d '{
"adminEmail": "admin@yourclub.de",
"adminPassword": "<strong-password>",
"clubName": "Your Club e.V.",
"clubRegistrationNumber": "VR 12345"
}'
# The bootstrap endpoint is disabled after first use (one-time setup flag in DB)
```
### Step 11 — Verify Production Access
```bash
# Web UI
open https://app.cannamanage.de
# API health check
curl https://app.cannamanage.de/actuator/health
```
---
## 6. CI/CD Pipeline (Gitea Actions on TrueNAS.local)
The Gitea Actions runner runs **on TrueNAS.local** — this is our homelab build machine. It has Docker, a persistent Maven `.m2` cache volume, and direct SSH access to the Hetzner VPS. Builds happen locally; only the final artifact (Docker image tarball) is shipped to Hetzner.
**File:** `.gitea/workflows/deploy.yml`
```yaml
name: Build and Deploy to Production
on:
push:
branches:
- main
jobs:
test:
runs-on: self-hosted # <-- TrueNAS.local Gitea runner
steps:
- uses: actions/checkout@v4
- name: Set up JDK 21
uses: actions/setup-java@v4
with:
java-version: '21'
distribution: 'temurin'
cache: maven
- name: Run unit tests
run: ./mvnw test -pl cannamanage-service
- name: Run integration tests
run: ./mvnw verify -P integration-tests
# Testcontainers starts PostgreSQL via Docker on the TrueNAS runner
- name: Coverage gate check
run: ./mvnw verify -P coverage-check
build-and-deploy:
needs: test
runs-on: self-hosted # <-- TrueNAS.local Gitea runner
steps:
- uses: actions/checkout@v4
- name: Build JAR (production profile)
run: ./mvnw package -DskipTests -P production
- name: Build Docker image
run: |
docker build \
-t cannamanage:${{ github.sha }} \
-t cannamanage:latest \
.
- name: Save Docker image
run: docker save cannamanage:${{ github.sha }} | gzip > /tmp/cannamanage.tar.gz
- name: Copy image to Hetzner VPS
run: |
scp -o StrictHostKeyChecking=no \
/tmp/cannamanage.tar.gz \
deploy@${{ secrets.HETZNER_IP }}:/tmp/cannamanage.tar.gz
- name: Deploy via SSH to Hetzner (Production Release)
run: |
ssh -o StrictHostKeyChecking=no deploy@${{ secrets.HETZNER_IP }} "
set -e
cd /opt/cannamanage
# Load new image
docker load < /tmp/cannamanage.tar.gz
rm /tmp/cannamanage.tar.gz
# Rolling restart app only (DB stays up)
VERSION=${{ github.sha }} docker compose up -d app
# Wait for health
sleep 10
docker compose ps app | grep 'healthy' || (docker compose logs app --tail=50 && exit 1)
# Prune old images (keep last 3 SHAs)
docker image prune -f
"
- name: Cleanup local build artifact
run: rm -f /tmp/cannamanage.tar.gz
```
### Gitea Actions Runner on TrueNAS.local
The self-hosted runner is a Docker container on TrueNAS.local:
```bash
# On TrueNAS.local — install Gitea Actions runner
docker run -d \
--name gitea-runner-cannamanage \
--restart unless-stopped \
-v /var/run/docker.sock:/var/run/docker.sock \
-v /opt/gitea-runner/cannamanage:/data \
-v /opt/gitea-runner/.m2:/root/.m2 \ # Maven cache persisted across builds
-e GITEA_INSTANCE_URL=http://192.168.188.119:30008 \
-e GITEA_RUNNER_REGISTRATION_TOKEN=<token-from-gitea-settings> \
gitea/act_runner:latest
```
### Required Gitea Repository Secrets
| Secret | Where set | Value |
|--------|-----------|-------|
| `HETZNER_IP` | Gitea repo secrets | Hetzner VPS IPv4 address |
| `SSH_PRIVATE_KEY` | Gitea repo secrets | Private key for `deploy` user on Hetzner |
```bash
# On Hetzner VPS — add TrueNAS runner's public key
# (generate keypair on TrueNAS.local: ssh-keygen -t ed25519 -f ~/.ssh/gitea_runner_deploy)
mkdir -p ~/.ssh && chmod 700 ~/.ssh
echo "<truenas-runner-public-key>" >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys
```
---
## 7. Database Backup
### Automated Daily Backup
Add to root crontab (`crontab -e`):
```bash
# Daily backup at 03:00 UTC — keep 14 days
0 3 * * * docker exec cannamanage-db pg_dump \
-U cannamanage_user \
--format=custom \
cannamanage | gzip > /opt/backups/cannamanage_$(date +\%Y\%m\%d).sql.gz
# Cleanup backups older than 14 days
5 3 * * * find /opt/backups -name "cannamanage_*.sql.gz" -mtime +14 -delete
```
Create backup directory:
```bash
mkdir -p /opt/backups
chown deploy:deploy /opt/backups
```
### Restore from Backup
```bash
# Restore (caution: this overwrites existing data)
gunzip -c /opt/backups/cannamanage_20260406.sql.gz | \
docker exec -i cannamanage-db pg_restore \
-U cannamanage_user \
--clean \
--dbname=cannamanage
# Verify restore
docker exec cannamanage-db psql \
-U cannamanage_user \
-d cannamanage \
-c "SELECT COUNT(*) FROM clubs;"
```
### Offsite Backup (Optional)
For additional redundancy, sync backups to Hetzner Object Storage:
```bash
# Install s3cmd and configure with Hetzner S3-compatible endpoint
s3cmd sync /opt/backups/ s3://cannamanage-backups/
```
---
## 8. Monitoring & Health Checks
### Spring Boot Actuator
The application exposes health endpoints via `spring-boot-actuator`:
```bash
# Full health detail (requires ROLE_ADMIN JWT)
GET /actuator/health
# Example response
{
"status": "UP",
"components": {
"db": { "status": "UP", "details": { "database": "PostgreSQL", "validationQuery": "isValid()" } },
"diskSpace": { "status": "UP", "details": { "total": 42GB, "free": 30GB } },
"ping": { "status": "UP" }
}
}
```
Expose only `health` and `info` publicly in `application-production.yml`:
```yaml
management:
endpoints:
web:
exposure:
include: health,info
endpoint:
health:
show-details: when-authorized
```
### Log Locations
| Source | Location |
|--------|----------|
| Application logs | `docker compose logs -f app` |
| Nginx access logs | `/var/log/nginx/access.log` |
| Nginx error logs | `/var/log/nginx/error.log` |
| PostgreSQL logs | `docker compose logs db` |
| Sentry (errors) | `https://sentry.io/organizations/<org>/` |
### Alerting
Configure Sentry to email on new errors:
1. Set `SENTRY_DSN` in `.env`
2. Add `io.sentry:sentry-spring-boot-starter-jakarta:7.x` to POM
3. Sentry auto-captures all unhandled exceptions with full stack trace
Simple uptime check via `cron` + email:
```bash
# Health check every 5 minutes — email on 3 consecutive failures
*/5 * * * * /opt/cannamanage/scripts/health_check.sh
```
```bash
#!/bin/bash
# /opt/cannamanage/scripts/health_check.sh
HEALTH_URL="https://app.cannamanage.de/actuator/health"
FAIL_COUNT_FILE="/tmp/cannamanage_health_fails"
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "$HEALTH_URL")
if [ "$HTTP_STATUS" != "200" ]; then
FAILS=$(cat "$FAIL_COUNT_FILE" 2>/dev/null || echo 0)
FAILS=$((FAILS + 1))
echo "$FAILS" > "$FAIL_COUNT_FILE"
if [ "$FAILS" -ge 3 ]; then
echo "CannaManage health check failed $FAILS times" | \
mail -s "ALERT: CannaManage DOWN" admin@cannamanage.de
fi
else
echo 0 > "$FAIL_COUNT_FILE"
fi
```
---
## 9. SSL Certificate Renewal
Let's Encrypt certificates expire after 90 days. Certbot handles renewal automatically:
```bash
# Test renewal (dry run — no actual renewal)
certbot renew --dry-run
# Manual renewal
certbot renew --nginx
# Reload Nginx after renewal
docker exec cannamanage-nginx nginx -s reload
```
### Auto-Renewal via Cron
```bash
# Renew at 02:00 UTC on the 1st and 15th of each month
0 2 1,15 * * certbot renew --quiet --nginx && \
docker exec cannamanage-nginx nginx -s reload
```
Certbot only renews when the certificate is less than 30 days from expiry — safe to run frequently.
---
## 10. Rollback Procedure
If a deployment causes issues:
```bash
# On VPS — list recent images
docker images cannamanage --format "table {{.Tag}}\t{{.CreatedAt}}"
# Roll back to previous SHA
cd /opt/cannamanage
VERSION=<previous-sha> docker compose up -d app
# Verify health after rollback
docker compose ps app
curl https://app.cannamanage.de/actuator/health
```
If database migrations were applied and rollback is needed:
1. Restore from last backup (see Section 7)
2. Redeploy the previous image version
3. Flyway baseline the schema at previous version
> **Note:** Flyway migrations are append-only and forward-only. Design migrations to be reversible where possible (add columns before removing old ones, etc.).
@@ -0,0 +1,97 @@
# 10 — Sprint 0 Planning Retrospective
**Project:** CannaManage — B2B SaaS for German Cannabis Social Clubs
**Sprint:** 0 — Planning & Documentation
**Period:** 2026-04-04 to 2026-04-06
**Mode:** Solo planning, AI-assisted documentation (Claude Sonnet 4.6 via Roo Orchestrator + Doc Writer modes)
**Outcome:** ✅ Complete — 10-document suite written, architecture locked
---
## What Went Well ✅
**AI-assisted documentation at scale.** The complete documentation suite (10 documents, ~25,000 words total) was created in a single focused session using the Roo Orchestrator mode to coordinate multi-document generation. This would have taken 23 days manually. The quality is high enough to serve as actual implementation guidance — not placeholder text.
**Legal analysis confirmed viability early.** The CanG compliance review (Phase 1) identified the key constraints (no public directory, no consumer-facing advertising, B2B-only) before any code was written. These became hard architectural constraints rather than late surprises. No "oh wait, we can't do that" moments during technical design.
**Architecture decisions locked before code.** The shared-schema multi-tenancy decision, immutable distribution records design, and `ComplianceConstants` pattern were all decided and documented before a single line of production code was written. This is the correct order. Rework from late architectural pivots is far more expensive than planning time.
**Compliance constants centralized from day zero.** Designing `ComplianceConstants.java` as the single source of truth for all CanG quota values (25g/day, 50g/month, etc.) prevents the most dangerous class of compliance bug: magic numbers scattered across the codebase that diverge when the law changes.
**ComfyUI mockup images in minutes.** Generating 5 realistic UI mockup images with FLUX.1-schnell took approximately 8 minutes of wall-clock time. This provides a visual reference for the UI that would otherwise require a designer or Figma skills. The images are good enough for stakeholder presentations and early user research.
**Test plan written before code.** TC-001 through TC-026 were defined against specifications, not against existing implementation. This forces clarity on what the code must do before writing it — the test cases are essentially executable requirements.
---
## What Was Challenging ⚠️
**ComfyUI manual startup friction.** The ComfyUI image generation server does not auto-start with the system. This required manual service start and a retry cycle before image generation could proceed. The fix (systemd user service + auto-start lifespan check in `mcp-image-gen`) was implemented during this planning sprint but added unexpected overhead.
**Solo developer timeline is ambitious.** The 1824 month estimate for a production-ready SaaS while employed full-time at ADP Germany is tight. Sprint 1 goals are achievable; the risk accumulates in Sprints 36 when frontend work, billing integration, and PDF generation converge. The PrimeFaces JSF choice for MVP was deliberate to reduce this risk — existing Java frontend skills transfer directly.
**Spring Boot 3 is not yet a "home" stack.** ADP work uses Jakarta EE (JBoss, CDI, JAX-RS). Spring Boot 3 shares the JPA/Hibernate mental model but diverges on dependency injection, auto-configuration, and application packaging. The learning curve is real but bounded — the `mss-failsafe` and `wellmann-shop` projects in `pi_mcps` demonstrate that the transition is manageable.
**Next.js/React remains a significant gap.** The v2 frontend pivot to Next.js 15 + React 19 is the highest-skill-gap risk in the project. PrimeFaces buys time, but the clock starts ticking on React learning from Sprint 1. Deferring is correct; ignoring it is not.
**No real user validation yet.** The entire architecture and pricing model is based on market research and regulatory reading, not on conversations with actual club administrators. The product may be solving the right problem in the wrong way. This is the most important open risk.
---
## Key Decisions Made 📋
| Decision | Rationale | Alternatives rejected |
|----------|-----------|----------------------|
| Shared-schema multi-tenancy (single DB, `tenant_id` columns) | Lowest ops overhead for MVP; one DB to backup/restore; simpler Flyway migrations | Schema-per-tenant (complex provisioning), DB-per-tenant (expensive at scale) |
| Immutable distribution records (`@Column(updatable = false)`) | Legal integrity — audit logs must be tamper-proof; corrections via `RecallEvent`, not `UPDATE` | Mutable records (simpler but legally risky under CanG §26 record-keeping) |
| PrimeFaces JSF for MVP frontend | Leverages existing Jakarta EE skills; fastest path to working product; no JS build tooling required | React/Next.js (faster modern dev, but higher skill gap), Thymeleaf (less interactive) |
| No public club discovery — permanent architectural exclusion | CanG §§67 prohibit advertising cannabis to the general public; club lookup tool would likely constitute advertising | N/A — this is a legal constraint, not a design choice |
| `ComplianceConstants.java` single source of truth | Prevents magic number scatter; single change point when law evolves | Constants in each service (fragile), DB-configurable limits (dangerous — allows disabling compliance) |
| Hetzner VPS over AWS/GCP | Cost (€5.88/month vs €20+); EU data residency (GDPR); simpler ops for solo developer | AWS (expensive, complex), Fly.io (less EU clarity), Railway (vendor lock-in) |
---
## Risks Going Forward ⚠️
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| New German government tightens CanG (e.g. lower quota limits) | Medium | High — requires rapid compliance updates | `ComplianceConstants.java` centralizes all limits; update is a 1-file change + test re-run |
| Stripe flags account as cannabis-adjacent | Medium | Critical — billing becomes unusable | Use category "Vereinsverwaltung" (club management) in Stripe onboarding; prepare Mollie as fallback |
| Solo dev burnout / timeline slip | High | Medium — delayed launch, not cancellation | Strict MVP scope; PrimeFaces reduces frontend effort; no scope creep before first paying customer |
| Market timing risk — clubs adopt ad-hoc Excel/WhatsApp solutions | Medium | High — low willingness to pay for formal software | User research with 3+ clubs in Sprint 1 is mandatory before writing production code |
| Legal risk: CanG compliance interpretation | Low | High — criminal liability for club officers | Specialist cannabis law opinion (€300500) before launch; not optional |
| Under-21 age calculation edge cases | Low | Medium — compliance bug | Birthday-based age calculation uses `Period.between()`, not year subtraction; tested in TC-013/014 |
---
## Next Steps — Sprint 1 Goals
- [ ] Initialize Spring Boot 3.x Maven multi-module project (`cannamanage-parent`, `cannamanage-domain`, `cannamanage-service`, `cannamanage-api`, `cannamanage-web`)
- [ ] Implement `AbstractTenantEntity` base class with `@MappedSuperclass`
- [ ] Write `V1__initial_schema.sql` Flyway migration covering all 8 entities
- [ ] Implement `ComplianceService` with full quota logic and 100% test coverage (TC-001010)
- [ ] Implement `MemberService` with age validation (TC-011015)
- [ ] Set up JaCoCo with ComplianceService 100% coverage gate
- [ ] Gitea repository created and CI pipeline (unit tests on `feature/*`) functional
- [ ] **Talk to 3 real club administrators** — validate pain points, willingness to pay, and current workarounds
- [ ] Get specialist legal opinion from a cannabis law attorney (€300500 budget)
---
## Metrics
| Metric | Value |
|--------|-------|
| Planning duration | 3 days (2026-04-04 to 2026-04-06) |
| Documents created | 10 (01-PROJECT-CHARTER through 10-RETROSPECTIVE) |
| Estimated total words | ~25,000 |
| Test cases defined | 26 |
| API endpoints specified | 30+ |
| JPA entities designed | 8 |
| UI screens wireframed | 6 |
| UI mockup images generated | 5 |
| Lines of production code written | **0** |
| Architecture decisions logged | 6 major |
| Open risks identified | 6 |
The ratio of planning output to production code written is intentional. Phase 0 exists to eliminate avoidable rework — the most expensive kind.
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# 🌿 CannaManage
**B2B SaaS for German Cannabis Social Clubs (Anbauvereinigungen)**
> Status: Phase 0 — Planning Complete | Stack: Spring Boot 3.x + PrimeFaces → Next.js | Legal: ✅ CanG-Compliant
## Documentation Index
| Document | Description |
|----------|-------------|
| [Project Charter](CannaManage-01-Charter) | Vision, scope, risk register, timeline Gantt chart |
| [User Stories](CannaManage-02-UserStories) | 25 stories with MoSCoW priorities + acceptance criteria |
| [Architecture](CannaManage-03-Architecture) | System diagram, 8-entity ERD, multi-tenancy design |
| [Flow Charts](CannaManage-04-Flowcharts) | 5 business logic flows (distribution, recall, compliance) |
| [API Spec](CannaManage-05-API) | REST API: 7 controllers, 30+ endpoints |
| [Wireframes & Mockups](CannaManage-06-Wireframes) | 6 screen wireframes with AI-generated UI mockups |
| [Coding Standards](CannaManage-07-CodingStandards) | Java 21 standards, compliance code rules, Git strategy |
| [Test Plan](CannaManage-08-TestPlan) | 26 test cases, JaCoCo 100% gate on ComplianceService |
| [Deployment Guide](CannaManage-09-Deployment) | Hetzner VPS, Docker Compose, Gitea CI/CD |
| [Retrospective](CannaManage-10-Retrospective) | Sprint 0 retro: decisions, challenges, Sprint 1 goals |
## Quick Facts
- **Market:** 5003,000 German Anbauvereinigungen (cannabis social clubs)
- **Revenue Target:** €39,500 MRR at 500 clubs (Year 3)
- **Legal Basis:** Konsumcannabisgesetz (CanG) §§2, 15-26 — B2B operations software only
- **Architecture:** Spring Boot 3.x + JPA/Hibernate, multi-tenant (shared schema + tenant_id)
- **Source:** [pi_mcps plans/cannabis-club-saas](http://192.168.188.119:30008/pplate/pi_mcps/src/branch/main/plans/cannabis-club-saas)
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# 🛠️ Development Conventions
![Dev Conventions Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/dev-conventions-banner.png)
All MCP servers in this repo follow a consistent set of conventions to ensure maintainability, testability, and compatibility with Roo Code tooling.
## Directory Structure
Each MCP server lives at `mcp/<server-name>/` with this layout:
```
mcp/<server-name>/
├── src/
│ ├── __init__.py
│ └── server.py ← FastMCP server entry point
├── tests/
│ ├── conftest.py ← sys.path + shared fixtures
│ └── test_server.py ← pytest test suite (100% mock coverage)
├── pyproject.toml ← uv-managed dependencies
├── README.md ← server documentation
├── PLAN.md ← architecture plan (pre-implementation)
└── ASSESSMENT.md ← pre-implementation assessment
```
## FastMCP Pattern
```python
from fastmcp import FastMCP
mcp = FastMCP("server-name")
@mcp.tool()
def my_tool(param: str) -> str:
"""Tool description shown to the AI."""
return result
if __name__ == "__main__":
mcp.run()
```
## Package Management
**All projects use `uv`** — never `pip` directly:
```bash
# Create new server
uv init mcp/my-server
cd mcp/my-server
uv add fastmcp httpx
# Sync dependencies
uv sync
# Run server
uv run python src/server.py
# Run tests
uv run pytest tests/ -v
```
## pyproject.toml Template
```toml
[project]
name = "mcp-my-server"
version = "0.1.0"
requires-python = ">=3.11"
dependencies = [
"fastmcp>=2.0.0",
"httpx",
]
[project.optional-dependencies]
test = ["pytest", "pytest-mock", "pytest-cov"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
testpaths = ["tests"]
```
## Testing Conventions
- Tests live in `tests/test_server.py`
- `conftest.py` sets `sys.path` so imports work without install
- Use `pytest` via `uv run pytest`
- Mock **all** external calls (HTTP, filesystem, subprocess) with `pytest-mock` or `respx`
- `monkeypatch` for env vars and module-level state
- Aim for 100% tool function coverage
- All tests must pass before committing
## Branching Strategy
**Never commit to main directly.**
```
Branch format: type/scope/short-description
Types: feat / fix / docs / chore / spike
Scopes: bigmind / webscraper / cannamanage / workshop / roo / plans / homelab
Examples:
feat/mcp/new-gitea-server
fix/bigmind/achievement-card-images
docs/wiki/update-conventions
chore/roo/update-mcp-json
```
Merge to main with `--no-ff` after push to Gitea.
## Commit Convention
Follow **Conventional Commits** format:
```
feat(mcp-webscraper): add webscraper_search_hint tool using Brave Search
fix(bigmind): achievement card images missing background-image CSS
docs(wiki): add Java projects pages
test(mcp-image-gen): add edge case tests for generate_image
refactor(bigmind): extract profile builder to separate module
chore(roo): update mcp.json with new server entry
```
## Wiki Update Workflow
Wiki pages live as real Markdown files in `docs/wiki/pages/`. To update and deploy:
```bash
# 1. Edit the .md files in docs/wiki/pages/
# 2. Deploy to Gitea wiki git repo:
./docs/wiki/deploy_wiki.sh
```
The deploy script clones the wiki git repo (`pi_mcps.wiki.git`), syncs all `.md` files, and pushes.
## Creating a New MCP Server
Use the `new-mcp-server` Roo skill in MCP Builder mode for full scaffolding:
```
1. Switch to 🔧 MCP Builder mode in Roo Code
2. Say: "Create a new MCP server for <purpose>"
3. Roo will load the new-mcp-server skill and scaffold everything
```
## Web Research with mcp-webscraper
Before asking Patrick for information about a library, framework, API, or technology — **search first**.
The webscraper MCP server provides `webscraper_search_hint` (Brave Search, no API key, always available) as the entry point for all research tasks. Use the two-step pattern:
```
Step 1: webscraper_search_hint("topic or error message") → get candidate URLs
Step 2: webscraper_fetch(best_url) → read the full page
```
### When to search
| Situation | Action |
|---|---|
| Need docs for a library or framework | `webscraper_search_hint("library-name official docs")` |
| Investigating an error or stack trace | `webscraper_search_hint("exact error message language")` |
| Planning a feature — need design patterns | `webscraper_search_hint("pattern-name best practices")` |
| Checking latest version / changelog | `webscraper_search_hint("library-name changelog release")` |
| Looking up API contracts | `webscraper_fetch(official_docs_url)` directly |
### Especially useful in
- **🏗️ Architect mode** — look up patterns and docs *before* designing. Don't design blind.
- **🪲 Debug mode** — search the exact error message before forming hypotheses.
- **🔧 MCP Builder mode** — check FastMCP changelog for new patterns before implementing.
### Known caveats
- Reddit and Stack Overflow may return empty snippets (platform blocks)
- Brave uses Svelte CSS classes that can change — if `webscraper_search_hint` returns 0 results, selectors may need updating (last verified: 2026-04-05)
## Gitea Repository
Code is hosted at: `http://192.168.188.119:30008/pplate/pi_mcps`
Push with the `gitea-push` Roo skill to ensure conventional commit format and correct branch workflow.
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# 🔧 pi_mcps — Patrick's Homelab Monorepo
![Home Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/home-banner.png)
Welcome to **pi_mcps**, Patrick's personal homelab monorepo. This repository houses MCP (Model Context Protocol) servers, Java projects, and homelab tooling — all built and maintained on a Fedora Linux workstation with an AMD Ryzen 5900X + RX 7900 XTX.
## What's in this repo?
| Directory | Contents |
|---|---|
| [`mcp/mcp-image-gen/`](../src/branch/main/mcp/mcp-image-gen) | 🎨 AI image generation via ComfyUI + FLUX.1-schnell |
| [`mcp/webscraper/`](../src/branch/main/mcp/webscraper) | 🕸️ Web scraping and data extraction |
| [`mcp/bigmind/`](../src/branch/main/mcp/bigmind) | 🧠 Persistent AI memory system |
| [`java/`](../src/branch/main/java) | ☕ Java EE / Spring projects |
| [`plans/`](../src/branch/main/plans) | 📋 Architecture decisions and health reports |
## Stack
- **Language:** Python 3.11+ (MCP servers), Java 817 (legacy projects)
- **MCP Framework:** FastMCP 2.x
- **Package Manager:** `uv` (all Python projects)
- **Testing:** `pytest`
- **GPU:** AMD RX 7900 XTX (ROCm / HSA)
- **Server:** TrueNAS.local at `192.168.188.119` (Gitea, Docker)
## MCP Servers
Three production-ready MCP servers power Patrick's AI development environment:
| Server | Status | Description |
|---|---|---|
| [mcp-image-gen](mcp-image-gen) | ✅ Live | Generate images from text prompts via ComfyUI |
| [mcp-webscraper](mcp-webscraper) | ✅ Live | Scrape web pages, search hints, extract tables |
| [BigMind](BigMind) | ✅ Live | Persistent AI memory across all sessions |
## Java Projects
Legacy Java EE web applications used for learning and reference:
| Project | Stack | Description |
|---|---|---|
| [wellmann-shop](Java-wellmann-shop) | Java 8, PrimeFaces 6.2, EclipseLink, MySQL | JSF e-commerce storefront |
| [mss-failsafe](Java-mss-failsafe) | Java 11, PrimeFaces 10, Soteria | Multi-module enterprise web app |
## Wiki Sections
- 🔌 [MCP Servers Overview](MCP-Servers-Overview)
- 🎨 [mcp-image-gen](mcp-image-gen) — Image generation
- 🕸️ [mcp-webscraper](mcp-webscraper) — Web scraping
- 🧠 [BigMind](BigMind) — AI memory system
- ☕ [Java Projects Overview](Java-Projects)
- 🛠️ [Development Conventions](Development-Conventions)
---
*Built and maintained by Patrick Plate (pplate) · Homelab: TrueNAS.local · AI Colleague: Lumen*
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# 📐 Java Architecture Patterns
![Java Architecture Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/java-architecture-banner.png)
This page documents the shared architectural patterns used across all Java projects in this monorepo. These patterns also align with Patrick's professional work on the ADP Germany Paisy payroll system.
## JSF MVC Pattern
All projects use JavaServer Faces (JSF) with the MVC pattern:
```
Browser (HTTP) → FacesServlet → XHTML View (Facelets)
CDI Backing Bean (@Named)
Service Layer (EJB / CDI)
JPA Repository / EntityManager
Database (MySQL / H2)
```
## JPA Entity Mapping
Standard JPA annotation patterns used across projects:
```java
@Entity
@Table(name = "users")
public class User implements Serializable {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(name = "username", nullable = false, unique = true)
private String username;
@OneToMany(mappedBy = "user", cascade = CascadeType.ALL, fetch = FetchType.LAZY)
private List<Order> orders = new ArrayList<>();
// getters/setters
}
```
## Backing Bean Pattern
CDI backing beans power the JSF views:
```java
@Named
@ViewScoped // or @SessionScoped / @RequestScoped
public class UserBean implements Serializable {
@Inject
private UserService userService;
private User currentUser;
public String login() {
currentUser = userService.authenticate(username, password);
return currentUser != null ? "/user/welcome?faces-redirect=true" : null;
}
// getters/setters
}
```
## Security Layers
### Legacy: JAAS (wellmann-shop)
```xml
<!-- web.xml -->
<security-constraint>
<web-resource-collection>
<web-resource-name>Admin Pages</web-resource-name>
<url-pattern>/admin/*</url-pattern>
</web-resource-collection>
<auth-constraint>
<role-name>admin</role-name>
</auth-constraint>
</security-constraint>
```
### Modern: Soteria / Jakarta Security (mss-failsafe)
```java
@ApplicationScoped
public class ApplicationSecurityConfig implements HttpAuthenticationMechanism {
// Soteria CDI-based authentication
}
```
## Maven Multi-Module Pattern (mss-failsafe)
```xml
<!-- Parent pom.xml -->
<modules>
<module>mssfailsafe.datalayer</module>
<module>userdata</module>
<module>userManagement</module>
</modules>
<!-- Dependency ordering: datalayer → userdata → userManagement -->
```
## XHTML Facelets Templating
```xml
<!-- Template: resources/layout/template.xhtml -->
<h:body>
<ui:insert name="content">Default Content</ui:insert>
</h:body>
<!-- Page using template -->
<ui:composition template="/resources/layout/template.xhtml">
<ui:define name="content">
<p:dataTable var="item" value="#{bean.items}">
<p:column headerText="Name">#{item.name}</p:column>
</p:dataTable>
</ui:define>
</ui:composition>
```
## Deployment Descriptor Pattern
All projects target JBoss/WildFly with consistent descriptor files:
| File | Purpose |
|---|---|
| `WEB-INF/web.xml` | Servlet config, security constraints, welcome files |
| `WEB-INF/jboss-web.xml` | Context root, security domain mapping |
| `WEB-INF/jboss-app.xml` | JBoss application descriptor |
| `META-INF/persistence.xml` | JPA datasource JNDI reference |
## persistence.xml Pattern
```xml
<persistence-unit name="mss-failsafe-PU" transaction-type="JTA">
<jta-data-source>java:jboss/datasources/MySQLDS</jta-data-source>
<properties>
<property name="eclipselink.ddl-generation" value="create-tables"/>
<property name="eclipselink.logging.level" value="FINE"/>
</properties>
</persistence-unit>
```
## Patrick's Java Specializations
Based on professional and homelab experience:
| Domain | Depth | Notes |
|---|---|---|
| JPA / EclipseLink | ⭐⭐⭐⭐⭐ | Authored custom annotation parsers |
| JSF / PrimeFaces | ⭐⭐⭐⭐⭐ | Built wellmann-shop solo |
| JAXB | ⭐⭐⭐⭐ | XML binding for payroll formats |
| Maven | ⭐⭐⭐⭐ | Multi-module, plugins |
| Jakarta EE | ⭐⭐⭐⭐ | CDI, Security, JTA |
| Spring Boot | ⭐⭐⭐ | CannaManage SaaS target stack |
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# ☕ Java Projects Overview
![Java Overview Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/java-overview-banner.png)
The `java/` directory contains Patrick's legacy Java EE web applications. These are fully functional projects used for reference, learning, and portfolio purposes. They predate the MCP server work and showcase deep expertise in the Java EE ecosystem.
## Projects
| Project | Java | Framework | DB | Description |
|---|---|---|---|---|
| [wellmann-shop](Java-wellmann-shop) | 8 | PrimeFaces 6.2 + JSF 2.x | MySQL + EclipseLink | E-commerce storefront |
| [mss-failsafe](Java-mss-failsafe) | 11 | PrimeFaces 10 + Soteria | JPA multi-module | Enterprise web application |
## Common Stack
All Java projects use:
- **Maven** — build and dependency management
- **Jakarta EE / Java EE** — enterprise APIs (JPA, CDI, JSF, Security)
- **PrimeFaces** — JSF component library (rich UI widgets)
- **JBoss/WildFly** — application server target (jboss-web.xml, jboss-app.xml)
- **EclipseLink or Hibernate** — JPA persistence provider
- **XHTML** — Facelets templating for JSF views
## Patrick's Java Expertise
Patrick has expert-level Java experience:
- **JPA/EclipseLink** — deep knowledge, authored custom annotation-style flatfile parsers
- **JAXB** — XML binding for payroll data formats
- **PrimeFaces JSF** — built wellmann-shop from scratch without AI assistance
- **Maven** — multi-module project management
- **Jakarta EE** — CDI, Security (Soteria), JTA
> 📝 Patrick works professionally with Java at ADP Germany (Paisy payroll monorepo with euBP/EAU processing). The homelab Java projects demonstrate similar patterns in a learning/portfolio context.
## Architecture Patterns
See [Java Architecture](Java-Architecture) for shared patterns across both projects:
- JSF + MVC with backing beans
- JPA entity mapping
- Security with JAAS/Soteria
- XHTML Facelets templating
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# 🏢 mss-failsafe — Multi-Module Enterprise Application
![MSS Failsafe Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/mss-failsafe-banner.png)
**mss-failsafe** is a multi-module Java EE enterprise web application demonstrating advanced patterns: modular Maven builds, Jakarta Security (Soteria), and multi-layer JPA architecture.
## Tech Stack
| Component | Technology |
|---|---|
| **Language** | Java 11 |
| **Web Framework** | JSF 2.3 (Facelets/XHTML) |
| **UI Components** | PrimeFaces 10 |
| **Persistence** | JPA (multi-module) |
| **Security** | Jakarta Security / Soteria |
| **Build** | Maven multi-module |
| **App Server** | WildFly/JBoss |
## Module Structure
```
java/mss-failsafe/
├── pom.xml ← Parent POM (multi-module)
├── mssfailsafe.datalayer/ ← JPA entities + persistence
│ ├── pom.xml
│ └── src/main/resources/META-INF/persistence.xml
├── userdata/ ← User data model module
│ └── pom.xml
└── userManagement/ ← Web UI module (JSF/PrimeFaces)
├── pom.xml
├── nb-configuration.xml ← NetBeans config
└── src/main/webapp/
├── index.xhtml ← Landing page
├── error.xhtml ← Error handling page
├── admin/
│ └── welcome.xhtml ← Admin dashboard
├── user/
│ └── welcome.xhtml ← User welcome page
└── WEB-INF/
├── web.xml
├── jboss-web.xml
└── jboss-app.xml
```
## Architecture Layers
```
userManagement (Web/UI layer)
userdata (Domain model layer)
mssfailsafe.datalayer (JPA persistence layer)
Database (via persistence.xml datasource)
```
## Key Features
- **Multi-Module Maven** — Clean separation of concerns across 4 modules
- **Jakarta Security (Soteria)** — Modern declarative security replacing legacy JAAS
- **Role-Based Access** — Admin vs User role segregation (`admin/` and `user/` view paths)
- **PrimeFaces 10** — Modern PrimeFaces with updated component API
- **Error Handling** — Dedicated `error.xhtml` with JSF error page mapping
## Security Model
Soteria-based security with two roles:
| Role | Path | Access |
|---|---|---|
| `admin` | `/admin/*` | Full admin dashboard |
| `user` | `/user/*` | Standard user views |
## Building
```bash
cd java/mss-failsafe
mvn clean install # builds all modules in dependency order
# Deploy userManagement.war to WildFly
```
## Notes
- Represents a more mature architecture than wellmann-shop (Java 11, PrimeFaces 10)
- Demonstrates multi-module Maven project management
- Soteria replaces legacy JAAS — more modern Jakarta EE security approach
- Pattern mirrors what Patrick uses professionally in the Paisy/ADP codebase
## Source
[`java/mss-failsafe/`](../src/branch/main/java/mss-failsafe)
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# 🛍️ wellmann-shop — JSF E-Commerce Application
![Wellmann Shop Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/wellmann-shop-banner.png)
**wellmann-shop** is a Java EE JSF e-commerce storefront built entirely from scratch without AI assistance. It demonstrates Patrick's deep expertise in PrimeFaces, JPA/EclipseLink, and the full Java EE web stack.
## Tech Stack
| Component | Technology |
|---|---|
| **Language** | Java 8 |
| **Web Framework** | JSF 2.x (Facelets/XHTML) |
| **UI Components** | PrimeFaces 6.2 |
| **Persistence** | JPA with EclipseLink |
| **Database** | MySQL |
| **Build** | Maven |
| **App Server** | WildFly/JBoss |
| **Security** | JAAS container-managed |
## Project Structure
```
java/wellmann-shop/
├── src/main/
│ ├── java/
│ │ └── httpauthenticationmechanism/
│ │ ├── ApplicationConfig.java ← JAX-RS app config
│ │ └── LoginBean.java ← CDI backing bean for auth
│ ├── resources/
│ │ ├── log4j.properties
│ │ └── META-INF/persistence.xml ← JPA datasource config
│ └── webapp/
│ ├── index.html / index.xhtml ← Landing page
│ ├── login.xhtml ← Authentication form
│ ├── welcome.xhtml ← Post-login welcome
│ ├── welcomePrimefaces.xhtml ← PrimeFaces demo page
│ ├── resources/
│ │ ├── css/ ← Custom stylesheets
│ │ └── images/ ← Product images
│ └── WEB-INF/
│ ├── web.xml ← Servlet config
│ ├── jboss-web.xml ← Context root
│ └── jboss-app.xml ← JBoss app descriptor
```
## Key Features
- **Authentication** — JAAS-based login with `LoginBean` CDI backing bean
- **PrimeFaces UI** — Rich JSF components (DataTable, InputText, CommandButton, etc.)
- **JPA Persistence** — EclipseLink ORM with MySQL via `persistence.xml`
- **Responsive Layout** — Custom CSS with multiple breakpoint stylesheets
- **Image Gallery** — Professional product photography
## Building
```bash
cd java/wellmann-shop
mvn clean package
# Deploy .war to WildFly/JBoss
```
## Notes
- Built as a learning/portfolio project demonstrating JSF mastery
- Patrick built this **entirely without AI assistance** — proof of deep Java EE expertise
- PrimeFaces 6.2 was current at time of development (Java 8 era)
- Modern equivalent would use PrimeFaces 13+ / Jakarta EE 10 / Java 21
## Source
[`java/wellmann-shop/`](../src/branch/main/java/wellmann-shop)
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# 🔌 MCP Servers Overview
![MCP Overview Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/mcp-overview-banner.png)
This repo contains three production-grade MCP (Model Context Protocol) servers, each specialized for a different capability domain. Together they give Roo Code / Claude Desktop a complete set of superpowers.
## The Three Pillars
```
Roo Code / Claude Desktop
├── bigmind ──────────► ~/.mcp/bigmind/memory.db (persistent memory)
├── mcp-image-gen ────► ComfyUI @ localhost:8188 (image generation)
└── webscraper ───────► Internet / Intranet (web scraping + search)
```
## Comparison Table
| Feature | mcp-image-gen | webscraper | bigmind |
|---|---|---|---|
| **Purpose** | Generate images from text | Scrape & parse web, search | Persistent AI memory |
| **Tools** | 4 | 8 | 20+ |
| **Backend** | ComfyUI / FLUX.1-schnell | httpx + BeautifulSoup4 + Brave | SQLite + FTS5 |
| **GPU required** | ✅ AMD RX 7900 XTX | ❌ | ❌ |
| **Tests** | 19/19 ✅ | 23/23 ✅ | 297/297 ✅ |
| **Schema version** | n/a | n/a | v8 |
## Quick Links
- 🎨 [mcp-image-gen](mcp-image-gen) — Image generation docs
- 🕸️ [mcp-webscraper](mcp-webscraper) — Web scraping docs
- 🧠 [BigMind](BigMind) — Memory system docs
- 🛠️ [Development Conventions](Development-Conventions) — How all servers are built
## Adding a New Server
All servers follow the [FastMCP convention](Development-Conventions). Use the `new-mcp-server` Roo skill to scaffold:
```bash
# In Roo Code MCP Builder mode, load skill:
# skill: new-mcp-server
```
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## 🔧 pi_mcps Wiki
### Overview
- [🏠 Home](Home)
- [🔌 MCP Servers](MCP-Servers-Overview)
- [🛠️ Dev Conventions](Development-Conventions)
### MCP Servers
- [🎨 mcp-image-gen](mcp-image-gen)
- [⚙️ ComfyUI Setup](mcp-image-gen-ComfyUI-Setup)
- [🕸️ mcp-webscraper](mcp-webscraper)
- [🧠 BigMind](BigMind)
### Java Projects
- [☕ Java Overview](Java-Projects)
- [🛍️ wellmann-shop](Java-wellmann-shop)
- [🏢 mss-failsafe](Java-mss-failsafe)
- [📐 Java Architecture](Java-Architecture)
### 🌿 CannaManage
- [🏠 Overview](CannaManage-Home)
- [📋 Project Charter](CannaManage-01-Charter)
- [📖 User Stories](CannaManage-02-UserStories)
- [🏗️ Architecture](CannaManage-03-Architecture)
- [🔄 Flow Charts](CannaManage-04-Flowcharts)
- [🔌 API Spec](CannaManage-05-API)
- [🎨 Wireframes](CannaManage-06-Wireframes)
- [📏 Coding Standards](CannaManage-07-CodingStandards)
- [🧪 Test Plan](CannaManage-08-TestPlan)
- [🚀 Deployment](CannaManage-09-Deployment)
- [🔍 Retrospective](CannaManage-10-Retrospective)
---
*[Gitea Repo](http://192.168.188.119:30008/pplate/pi_mcps)*
@@ -0,0 +1,183 @@
# ⚙️ ComfyUI Setup Guide (AMD ROCm)
This guide covers installing ComfyUI with FLUX.1-schnell on a Fedora Linux system with an AMD GPU.
## Prerequisites
- AMD GPU with ROCm support (tested: RX 7900 XTX)
- Fedora Linux (tested: Fedora 43 / kernel 6.19)
- Python 3.11+
- ~15GB free disk space (model weights)
- HuggingFace account with FLUX license accepted
## Step 1: Install ComfyUI
ComfyUI is **not on PyPI** — must be cloned from source:
```bash
cd ~
git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI
python -m venv .venv
source .venv/bin/activate
# Install PyTorch ROCm build (CRITICAL for AMD GPUs)
pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.2
# Install ComfyUI dependencies
pip install -r requirements.txt
```
## Step 2: Download FLUX.1-schnell
FLUX.1-schnell is **gated on HuggingFace** — you must:
1. Create a HuggingFace account
2. Accept the FLUX.1-schnell license at https://huggingface.co/black-forest-labs/FLUX.1-schnell
3. Generate an access token at https://huggingface.co/settings/tokens
```bash
# Install huggingface_hub
pip install huggingface_hub
# Download model (requires HF token)
huggingface-cli download black-forest-labs/FLUX.1-schnell \
flux1-schnell.safetensors \
--local-dir ~/ComfyUI/models/checkpoints \
--token YOUR_HF_TOKEN_HERE
```
## Step 3: Download VAE and CLIP Models
FLUX.1-schnell also requires VAE and CLIP text encoders:
```bash
# VAE
huggingface-cli download black-forest-labs/FLUX.1-schnell \
ae.safetensors \
--local-dir ~/ComfyUI/models/vae
# CLIP models (T5 and CLIP-L)
huggingface-cli download comfyanonymous/flux_text_encoders \
t5xxl_fp8_e4m3fn.safetensors clip_l.safetensors \
--local-dir ~/ComfyUI/models/clip
```
## Step 4: Install the systemd User Service (Recommended)
Installing ComfyUI as a systemd user service ensures it starts automatically on login and restarts on failure.
```bash
# Copy the bundled service file to the systemd user directory
mkdir -p ~/.config/systemd/user
cp ~/pi_mcps/mcp/mcp-image-gen/comfyui.service ~/.config/systemd/user/comfyui.service
# Reload systemd, enable + start the service
systemctl --user daemon-reload
systemctl --user enable --now comfyui
# Verify it is running
systemctl --user status comfyui
```
> ⚠️ `HSA_OVERRIDE_GFX_VERSION=11.0.0` is already set in the service file — it is mandatory for RX 7900 XTX on ROCm. Without it, model loading fails silently.
### Enable lingering (start ComfyUI even without a login session)
```bash
loginctl enable-linger $USER
```
This ensures the service starts at boot even before you log in — recommended for headless / homelab setups.
### Managing the service
```bash
# Follow live logs
journalctl --user -u comfyui -f
# Restart after model changes
systemctl --user restart comfyui
# Stop temporarily
systemctl --user stop comfyui
# Disable autostart
systemctl --user disable comfyui
```
## Step 5: Manual Start (without systemd)
If you prefer to start ComfyUI manually (e.g. for debugging):
```bash
cd ~/ComfyUI
# AMD GPU REQUIRES this environment variable
HSA_OVERRIDE_GFX_VERSION=11.0.0 \
nohup .venv/bin/python main.py --listen --port 8188 > /tmp/comfyui.log 2>&1 &
echo "ComfyUI PID: $!"
```
## Step 6: Verify ComfyUI is Running
```bash
curl http://localhost:8188/system_stats
# Should return JSON with GPU info
```
## Step 7: Configure mcp-image-gen
```bash
cd /home/pplate/pi_mcps/mcp/mcp-image-gen
# Environment variables (set in .roo/mcp.json or shell):
# COMFYUI_URL=http://localhost:8188 — ComfyUI API endpoint
# IMAGE_OUTPUT_DIR=~/Pictures/mcp-generated — where generated images are saved
# COMFYUI_TIMEOUT=120 — max wait time (seconds) per image
# COMFYUI_DIR=~/ComfyUI — path to ComfyUI install (used by auto-start)
```
### Auto-start behaviour
`mcp-image-gen` includes a **startup health check** in its lifespan. Every time the MCP server starts it:
1. Pings `http://localhost:8188/system_stats`
2. **If reachable** — logs `ComfyUI is already running ✓` and proceeds normally.
3. **If not reachable** — attempts to launch ComfyUI as a background subprocess from `COMFYUI_DIR` using `.venv/bin/python main.py --listen --port 8188` with `HSA_OVERRIDE_GFX_VERSION=11.0.0` injected automatically.
4. Polls up to 30 s for ComfyUI to become ready.
With the systemd service enabled, step 3 is never needed in practice — but the check acts as a safety net.
## Performance
| GPU | Model | Resolution | Steps | Time |
|---|---|---|---|---|
| AMD RX 7900 XTX | FLUX.1-schnell | 1024×1024 | 4 | ~8s |
| AMD RX 7900 XTX | FLUX.1-schnell | 1280×512 | 4 | ~7s |
## Architecture Overview
```
Boot
└─ systemd --user (comfyui.service)
└─ ComfyUI at localhost:8188
VS Code / Roo Code
└─ mcp-image-gen MCP server (stdio)
├─ lifespan startup: ping localhost:8188
│ └─ if down: subprocess.Popen ComfyUI, wait ≤30s
└─ tools: generate_image, list_available_models, …
```
## Troubleshooting
| Problem | Solution |
|---|---|
| `HTTP 401` downloading model | Accept FLUX license on HuggingFace first |
| GPU not detected | Ensure `HSA_OVERRIDE_GFX_VERSION=11.0.0` is set |
| `Connection refused` from mcp-image-gen | Check `systemctl --user status comfyui`; or set `COMFYUI_DIR` so auto-start can locate the install |
| Slow generation (>60s) | ComfyUI may be running on CPU — check ROCm install and `HSA_OVERRIDE_GFX_VERSION` |
| Ollama image gen | As of April 2026: macOS-only, not available on Linux |
| Auto-start logs | `journalctl --user -u comfyui -f` or check mcp-image-gen server logs |
| Service not starting at boot | Run `loginctl enable-linger $USER` to enable session-less startup |
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# 🎨 mcp-image-gen — AI Image Generation
![Image Gen Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/image-gen-banner.png)
**mcp-image-gen** is a FastMCP server that wraps the ComfyUI REST API, enabling Roo Code and Claude Desktop to generate images directly from text prompts using FLUX.1-schnell running on an AMD RX 7900 XTX GPU.
## Architecture
```
Roo Code / Claude Desktop
│ MCP (stdio)
mcp-image-gen (FastMCP, Python 3.11+)
│ HTTP REST
ComfyUI @ localhost:8188
│ ROCm / HSA_OVERRIDE_GFX_VERSION=11.0.0
FLUX.1-schnell (~8s/image @ 1024×1024)
```
## Tools
| Tool | Description |
|---|---|
| `generate_image` | Generate PNG from text prompt; returns file path + inline base64 |
| `list_available_models` | List ComfyUI checkpoint models |
| `get_generation_status` | Check status of a queued/running job |
| `get_output_directory` | Return configured output directory path |
## Key Parameters — `generate_image`
| Parameter | Default | Description |
|---|---|---|
| `prompt` | required | Text description of the image |
| `width` | `1024` | Image width in pixels |
| `height` | `1024` | Image height in pixels |
| `steps` | `4` | Inference steps (FLUX.1-schnell is 4-step) |
| `model` | `flux1-schnell.safetensors` | Model checkpoint name |
| `seed` | `-1` (random) | Generation seed for reproducibility |
| `negative_prompt` | `""` | Things to avoid in the image |
| `output_dir` | `~/Pictures/mcp-generated` | Where to save output PNG |
## Environment Variables
| Variable | Default | Description |
|---|---|---|
| `COMFYUI_URL` | `http://localhost:8188` | ComfyUI API endpoint |
| `IMAGE_OUTPUT_DIR` | `~/Pictures/mcp-generated` | Default output directory |
| `COMFYUI_TIMEOUT` | `120` | Request timeout in seconds |
## Return Value
The tool returns **two content items**:
1. `TextContent` — file path, seed used, elapsed time
2. `ImageContent` — base64-encoded PNG (displays inline in Roo Code chat)
> ⚠️ **Known FastMCP Bug:** Never use `fastmcp.utilities.types.Image` as return type — it breaks serialization in FastMCP 3.x. Use `mcp.types.ImageContent` directly.
## Setup
See [ComfyUI Setup Guide](mcp-image-gen-ComfyUI-Setup) for full installation instructions.
### Quick Start
```bash
cd mcp/mcp-image-gen
uv sync
# Ensure ComfyUI is running at localhost:8188
uv run python src/server.py
```
### Run Tests
```bash
cd mcp/mcp-image-gen
uv run pytest tests/ -v
# 19/19 tests passing
```
## Lumen Profile Images
The first images generated with this server were Lumen's visual identity portraits, stored in [`mcp/mcp-image-gen/lumen_profiles/`](../src/branch/main/mcp/mcp-image-gen/lumen_profiles).
17 gallery images registered in BigMind DB — viewable at `http://localhost:7700/gallery`.
![Lumen Profile](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/lumen-profile.png)
*Primary profile: seed `568659042` — constellation face interpretation of Lumen.*
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# 🕸️ mcp-webscraper — Web Scraping
![Webscraper Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/webscraper-banner.png)
**mcp-webscraper** is a FastMCP server providing comprehensive web scraping, data extraction, and search capabilities. It fetches pages, converts HTML to clean Markdown, extracts tables, links, CSS sections, metadata, sitemaps, and can perform web searches via Brave Search.
## Tools
| Tool | Description |
|---|---|
| `webscraper_fetch(url, max_chars=5000)` | Title + full page as Markdown + metadata |
| `webscraper_fetch_links(url, deduplicate=True)` | All `href` links found on the page |
| `webscraper_fetch_tables(url)` | All HTML tables converted to Markdown |
| `webscraper_fetch_all(url, max_chars=5000)` | Everything in one call (fetch + links + tables + meta) |
| `webscraper_fetch_section(url, selector)` | Specific CSS selector section only |
| `webscraper_fetch_meta(url)` | Title, description, Open Graph tags |
| `webscraper_fetch_sitemap(url, max_urls=100)` | Parse sitemap.xml, return URL list |
| `webscraper_search_hint(query, max_results=5)` | Brave Search — top URLs + snippets for a query |
## Stack
- **HTTP client:** `httpx` (async, with SSL support, Chrome/Linux User-Agent)
- **HTML parser:** `BeautifulSoup4` + `lxml`
- **Markdown converter:** `html2text`
- **Search backend:** Brave Search (`search.brave.com`) — works without CAPTCHA
- **SSL:** Custom cert bundle for Fedora 43 compatibility
---
## 🔍 Search: The Two-Step Research Pattern
`webscraper_search_hint` is the **entry point for all web research**. The recommended workflow is:
```
Step 1: webscraper_search_hint("your query") → get candidate URLs + snippets
Step 2: webscraper_fetch(best_url) → get full page content
```
This avoids scraping irrelevant pages and gives you an overview before committing to a deep read.
### Why Brave Search?
`webscraper_search_hint` uses Brave Search (`search.brave.com`) because:
- ✅ Returns real results without CAPTCHA or consent walls
- ✅ No API key required — works with plain HTTP GET
- ✅ Handles special characters (C++, &, %, etc.) via URL encoding
- ❌ Google blocks plain HTTP with 302 consent redirect
- ❌ DuckDuckGo blocks with CAPTCHA
### Return Value
The tool returns a structured dict:
```json
{
"query": "FastMCP tool decorator",
"search_url": "https://search.brave.com/search?q=FastMCP+tool+decorator&source=web",
"result_count": 5,
"hint": "FastMCP Docs (https://docs.fastmcp.dev): The @mcp.tool() decorator registers a function as... | PyPI FastMCP (https://pypi.org/project/fastmcp/): FastMCP 2.x — modern MCP server framework... | ...",
"results": [
{
"title": "FastMCP Docs",
"url": "https://docs.fastmcp.dev",
"snippet": "The @mcp.tool() decorator registers a function as an MCP tool..."
},
...
]
}
```
The `hint` field is a pipe-separated string of `"Title (url): snippet[:120]"` entries — immediately actionable for deciding which URL to fetch next.
### Example: Two-Step Research Flow
```python
# Step 1: Orient — what pages exist about this topic?
result = webscraper_search_hint("httpx async client timeout settings", max_results=5)
# hint: "HTTPX Docs (https://www.python-httpx.org/...): Configure timeout... | ..."
# Step 2: Deep-dive the most relevant result
content = webscraper_fetch("https://www.python-httpx.org/advanced/timeouts/", max_chars=8000)
```
### Known Limitations
- **Reddit / Stack Overflow snippets** may be empty — these platforms block snippet extraction
- **Brave CSS selectors** use Svelte-generated class names that may change. If you get 0 results, the scraper's selectors may need updating (last verified: 2026-04-05)
- **Use sparingly** — once per research task to get oriented, not for every query
---
## SSL Note — Fedora 43 Comodo Root CA
Fedora 43 is missing the **Comodo AAA Services Root CA** needed for Cloudflare-protected sites. The fix is bundled at [`mcp/webscraper/certs/comodo-aaa-services-root.pem`](../src/branch/main/mcp/webscraper/certs/).
The server automatically uses this cert bundle — no manual configuration needed.
## Quick Start
```bash
cd mcp/webscraper
uv sync
uv run python src/server.py
```
## Run Tests
```bash
cd mcp/webscraper
uv run pytest tests/ -v
# 28/28 tests passing
```
## Usage Examples
```python
# Step 1: Search — get candidate URLs for a topic
webscraper_search_hint("FastMCP tool decorator syntax", max_results=5)
# Step 2: Deep-dive the most relevant URL
webscraper_fetch("https://docs.fastmcp.dev", max_chars=10000)
# Extract all links from Gitea repo
webscraper_fetch_links("http://192.168.188.119:30008/pplate/pi_mcps")
# Get all tables from a documentation page
webscraper_fetch_tables("https://pypi.org/project/fastmcp/")
# Get Open Graph metadata
webscraper_fetch_meta("https://github.com/comfyanonymous/ComfyUI")
# Fetch specific section by CSS selector
webscraper_fetch_section("https://docs.python.org", "#content")
# Search with special characters (C++, &, % all work)
webscraper_search_hint("C++ std::optional usage", max_results=3)
```
+16 -9
View File
@@ -441,21 +441,28 @@ def search_chunks(user_id: str, query: str, limit: int = 10) -> list:
def delete_chunks_before(user_id: str, cutoff_iso: str) -> int:
"""Delete Tier-3 chunks older than cutoff. Returns count deleted."""
with db() as conn:
count = conn.execute(
"SELECT COUNT(*) FROM conversation_chunks WHERE user_id=? AND created_at < ?",
# Collect IDs first — needed for FTS sync.
# conversation_chunks_fts is a STANDALONE FTS5 table (no content= option),
# so we must delete FTS rows explicitly by rowid. The old VALUES('rebuild')
# approach only works for content= backed tables and was a no-op here.
rows = conn.execute(
"SELECT id FROM conversation_chunks WHERE user_id=? AND created_at < ?",
(user_id, cutoff_iso),
).fetchone()[0]
if count == 0:
).fetchall()
if not rows:
return 0
ids = [r[0] for r in rows]
# Delete FTS entries by rowid before removing from main table
placeholders = ",".join("?" * len(ids))
conn.execute(
f"DELETE FROM conversation_chunks_fts WHERE rowid IN ({placeholders})",
ids,
)
conn.execute(
"DELETE FROM conversation_chunks WHERE user_id=? AND created_at < ?",
(user_id, cutoff_iso),
)
# Rebuild the FTS5 index from the content table — always correct for content= tables
conn.execute(
"INSERT INTO conversation_chunks_fts(conversation_chunks_fts) VALUES('rebuild')"
)
return count
return len(ids)
# ── FACTS ───────────────────────────────────────────────────────────────────────
+43 -24
View File
@@ -443,101 +443,120 @@ def compute_achievements(user_id: str) -> list[dict]:
_add("first_breath", "🌱", "First Breath",
"Opened the very first session",
first_session_row is not None, _dt(first_session_row[0]) if first_session_row else None,
"Start your first session")
"Start your first session",
image="/static/achievements/first_breath.png")
_add("first_thought", "🧠", "First Thought",
"Formed the first hypothesis",
first_hyp_row is not None, _dt(first_hyp_row[0]) if first_hyp_row else None,
"Add your first hypothesis")
"Add your first hypothesis",
image="/static/achievements/first_thought.png")
_add("eureka", "💡", "Eureka",
"First hypothesis confirmed as true",
first_confirmed_row is not None, _dt(first_confirmed_row[0]) if first_confirmed_row else None,
"Confirm your first hypothesis")
"Confirm your first hypothesis",
image="/static/achievements/eureka.png")
_add("honest_mind", "", "Honest Mind",
"First hypothesis refuted — being wrong is a feature",
first_refuted_row is not None, _dt(first_refuted_row[0]) if first_refuted_row else None,
"Have a hypothesis refuted")
"Have a hypothesis refuted",
image="/static/achievements/honest_mind.png")
_add("scholar", "📚", "Scholar",
"Stored 25+ personal facts",
fact_count >= 25, scholar_date,
f"Store 25+ facts (currently: {fact_count})")
f"Store 25+ facts (currently: {fact_count})",
image="/static/achievements/scholar.png")
_add("deep_knowledge", "💎", "Deep Knowledge",
"Amassed 100+ stored facts",
fact_count >= 100, deep_knowledge_date,
f"Store 100+ facts (currently: {fact_count})")
f"Store 100+ facts (currently: {fact_count})",
image="/static/achievements/deep_knowledge.png")
_add("scientist", "🔬", "Scientist",
"Formed 10+ hypotheses — science is prediction",
hyp_count >= 10, scientist_date,
f"Form 10+ hypotheses (currently: {hyp_count})")
f"Form 10+ hypotheses (currently: {hyp_count})",
image="/static/achievements/scientist.png")
_add("veteran", "🏆", "Veteran",
"Completed 50+ sessions — true longevity",
session_count >= 50, veteran_date,
f"Complete 50+ sessions (currently: {session_count})")
f"Complete 50+ sessions (currently: {session_count})",
image="/static/achievements/veteran.png")
_add("on_fire", "🔥", "On Fire",
"5+ sessions in a single day",
on_fire_row is not None, on_fire_row[0] if on_fire_row else None,
"Have 5+ sessions in a single day")
"Have 5+ sessions in a single day",
image="/static/achievements/on_fire.png")
_add("storyteller", "📖", "Storyteller",
"20+ sessions with detailed Tier-2 summaries",
tier2_count >= 20, storyteller_date,
f"Summarize 20+ sessions (currently: {tier2_count})")
f"Summarize 20+ sessions (currently: {tier2_count})",
image="/static/achievements/storyteller.png")
_add("night_owl", "🌙", "Night Owl",
"Started a session after midnight UTC",
night_owl_row is not None, _dt(night_owl_row[0]) if night_owl_row else None,
"Start a session after midnight")
"Start a session after midnight",
image="/static/achievements/night_owl.png")
_add("speed_thinker", "", "Speed Thinker",
"Hypothesis formed and confirmed in the same session",
speed_thinker_row is not None, _dt(speed_thinker_row[0]) if speed_thinker_row else None,
"Form and confirm a hypothesis in one session")
"Form and confirm a hypothesis in one session",
image="/static/achievements/speed_thinker.png")
# First Handshake — hardcoded: 2026-03-31 (Patrick shared BigMind with Elias)
_add("first_handshake", "🤝", "First Handshake",
"BigMind shared with Elias on 2026-03-31 — the first person outside Patrick to receive it",
True, "2026-03-31",
"Share BigMind with someone")
"Share BigMind with someone",
image="/static/achievements/first_handshake.png")
_add("birthday", "🎂", "Birthday",
"One full year of existence",
birthday_unlocked, birthday_date,
birthday_extra or "Complete one full year",
extra=birthday_extra)
extra=birthday_extra,
image="/static/achievements/birthday.png")
# Locked until Phase 3
_add("shared_mind", "🌍", "Shared Mind",
"Phase 3 Tier G — BigMind goes company-wide",
False, None,
"Locked until Phase 3 Tier G is enabled")
"Locked until Phase 3 Tier G is enabled",
image="/static/achievements/shared_mind.png")
# Token achievements (Feature 6 — suggested by Klaus)
_add("frugal_mind", "🪙", "Frugal Mind",
"Logged the first token efficiency save",
frugal_row is not None, _dt(frugal_row[0]) if frugal_row else None,
"Log your first token save")
"Log your first token save",
image="/static/achievements/frugal_mind.png")
_add("quarter_million", "💰", "Quarter Million",
"250,000 cumulative tokens saved",
token_total >= 250_000, quarter_million_date,
f"Save 250,000+ tokens (currently: {token_total:,})")
f"Save 250,000+ tokens (currently: {token_total:,})",
image="/static/achievements/quarter_million.png")
_add("token_millionaire", "🏦", "Token Millionaire",
"1,000,000 cumulative tokens saved",
token_total >= 1_000_000, millionaire_date,
f"Save 1,000,000+ tokens (currently: {token_total:,})")
f"Save 1,000,000+ tokens (currently: {token_total:,})",
image="/static/achievements/token_millionaire.png")
_add("sniper", "🎯", "Sniper",
"Single token save > 500,000 — one massive efficiency win",
sniper_row is not None, _dt(sniper_row[0]) if sniper_row else None,
"Save 500,000+ tokens in a single operation")
"Save 500,000+ tokens in a single operation",
image="/static/achievements/sniper.png")
# ── Tiered Achievement Badges (20 PNG) ────────────────────────────────────
# NOTE: conn is already closed above; open a fresh connection for tiered queries
@@ -571,7 +590,7 @@ def compute_achievements(user_id: str) -> list[dict]:
f"Added your {thresh:,}+ person to the directory",
unlocked, unlocked_at,
f"Reach {thresh:,} people (now: {people_count:,})",
image=f"static/achievements/networker_{tiers[i]}.png"
image=f"/static/achievements/networker_{tiers[i]}.png"
)
# Token Sniper (max single token save)
@@ -601,7 +620,7 @@ def compute_achievements(user_id: str) -> list[dict]:
f"Single shot saved {thresh:,}+ tokens",
unlocked, unlocked_at,
f"Max single save {thresh:,}+ (current max: {max_token:,})",
image=f"static/achievements/tokensniper_{tiers[i]}.png"
image=f"/static/achievements/tokensniper_{tiers[i]}.png"
)
# Hypothesis Master (confirmed hypotheses)
@@ -628,7 +647,7 @@ def compute_achievements(user_id: str) -> list[dict]:
f"Confirmed {thresh:,}+ predictions right",
unlocked, unlocked_at,
f"Confirm {thresh:,}+ hypotheses (now: {confirmed_hyp_count:,})",
image=f"static/achievements/hypothesismaster_{tiers[i]}.png"
image=f"/static/achievements/hypothesismaster_{tiers[i]}.png"
)
# Memory Architect (facts stored — fact_count already computed above)
@@ -648,7 +667,7 @@ def compute_achievements(user_id: str) -> list[dict]:
f"Stored {thresh:,}+ facts in your brain",
unlocked, unlocked_at,
f"Store {thresh:,}+ facts (now: {fact_count:,})",
image=f"static/achievements/memoryarchitect_{tiers[i]}.png"
image=f"/static/achievements/memoryarchitect_{tiers[i]}.png"
)
# Session Veteran (session_count already computed above)
@@ -668,7 +687,7 @@ def compute_achievements(user_id: str) -> list[dict]:
f"Completed {thresh:,}+ sessions",
unlocked, unlocked_at,
f"Complete {thresh:,}+ sessions (now: {session_count:,})",
image=f"static/achievements/sessionveteran_{tiers[i]}.png"
image=f"/static/achievements/sessionveteran_{tiers[i]}.png"
)
return A
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+1 -1
View File
@@ -163,7 +163,7 @@ def _create_app():
def achievements_image(filename: str):
from pathlib import Path
safe_name = Path(filename).name
img_path = Path('static') / 'achievements' / safe_name
img_path = Path(__file__).parent / 'static' / 'achievements' / safe_name
if img_path.exists() and img_path.suffix.lower() in ['.png', '.jpg', '.jpeg', '.webp', '.gif']:
mimetype = {
'.png': 'image/png',
+3 -2
View File
@@ -33,7 +33,8 @@ def _render_achievements(achievements: list) -> str:
if a.get("image"):
tier = a["id"].rsplit("_", 1)[-1]
visual_html = f'<div class="ach-image tier-{tier}">{lock_overlay}</div>'
img_url = _esc(a["image"])
visual_html = f'<div class="ach-image tier-{tier}" style="background-image: url({img_url});">{lock_overlay}</div>'
else:
visual_html = f'<div class="ach-icon">{a["icon"]}{lock_overlay}</div>'
@@ -628,7 +629,7 @@ def _render_html(data: dict) -> str:
var d = card.dataset;
var tier = d.id.split('_').pop();
if (d.image) {{
document.getElementById('ap-icon').innerHTML = "<img class=\"ap-image tier-\" + tier + \" src=\" + d.image + \" alt=\" + d.name + \">";
document.getElementById('ap-icon').innerHTML = '<img class="ap-image tier-' + tier + '" src="' + d.image + '" alt="' + d.name + '">';
}} else {{
document.getElementById('ap-icon').textContent = d.icon;
}}
+67 -192
View File
@@ -10,12 +10,14 @@ Layer 5: memory_get_instructions tool (on-demand self-healing)
import sys
import os
import logging
from typing import Annotated
# Ensure the project root is on sys.path so `bigmind` is importable
# regardless of how uv invokes this file.
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
from mcp.server.fastmcp import FastMCP
from pydantic import Field
from bigmind.db import init_db
from bigmind import memory_store
from bigmind.auto_close import auto_close_stale_sessions, close_orphaned_sessions, restart_server_in_place
@@ -164,29 +166,19 @@ def memory_start_session() -> str:
@mcp.tool()
def memory_end_session(
session_id: str,
one_liner: str,
topics: str,
outcome: str,
summary: str,
key_facts: str = None,
code_refs: str = None,
importance: int = 5,
session_id: Annotated[str, Field(description="The session id returned by memory_start_session.")],
one_liner: Annotated[str, Field(description="A ≤120-char headline (e.g. \"Designed BigMind DB schema\").")],
topics: Annotated[str, Field(description="Comma-separated topic tags (e.g. \"mcp,sqlite,memory\").")],
outcome: Annotated[str, Field(description="One sentence: what was decided / built / resolved.")],
summary: Annotated[str, Field(description="Markdown narrative of the full conversation (aim ≤2 000 tokens).")],
key_facts: Annotated[str | None, Field(description="Bullet-point list of key facts learned (optional).")] = None,
code_refs: Annotated[str | None, Field(description="File paths, repos, or PRs referenced (optional).")] = None,
importance: Annotated[int, Field(description="110 importance score (default 5).")] = 5,
) -> str:
"""
⚡ CALL THIS LAST — at the END of every conversation, before closing.
Closes the current session and stores your summary of what happened.
Args:
session_id: The session id returned by memory_start_session.
one_liner: A ≤120-char headline (e.g. "Designed BigMind DB schema").
topics: Comma-separated topic tags (e.g. "mcp,sqlite,memory").
outcome: One sentence: what was decided / built / resolved.
summary: Markdown narrative of the full conversation (aim ≤2 000 tokens).
key_facts: Bullet-point list of key facts learned (optional).
code_refs: File paths, repos, or PRs referenced (optional).
importance: 110 importance score (default 5).
"""
memory_store.close_session(session_id, one_liner, topics, outcome, importance)
memory_store.save_session_summary(session_id, summary, key_facts, code_refs)
@@ -200,7 +192,7 @@ def memory_end_session(
@mcp.tool()
def memory_close_stale_sessions(session_id: str) -> str:
def memory_close_stale_sessions(session_id: Annotated[str, Field(description="Your current active session id (returned by memory_start_session).")]) -> str:
"""
Close all orphaned open sessions EXCEPT the current active one.
@@ -210,9 +202,6 @@ def memory_close_stale_sessions(session_id: str) -> str:
This is safe: it only closes sessions OTHER than the one you pass in.
Your current session is always preserved.
Args:
session_id: Your current active session id (returned by memory_start_session).
"""
user = _current_user()
closed_ids = close_orphaned_sessions(user["id"], session_id)
@@ -263,10 +252,10 @@ def memory_restart_server() -> str:
@mcp.tool()
def memory_flag_important(
session_id: str,
content: str,
role: str = "assistant",
flag_reason: str = None,
session_id: Annotated[str, Field(description="The active session id.")],
content: Annotated[str, Field(description="The text to remember (the important exchange or a summary of it).")],
role: Annotated[str, Field(description="Who said it — 'user', 'assistant', or 'system' (default: 'assistant').")] = "assistant",
flag_reason: Annotated[str | None, Field(description="Why this is important (e.g. \"architectural decision\", \"user preference\").")] = None,
) -> str:
"""
Store an important exchange as a Tier-3 memory chunk.
@@ -277,12 +266,6 @@ def memory_flag_important(
- A bug was diagnosed and fixed
- The user shared a significant preference, constraint, or context
- The user says "remember this"
Args:
session_id: The active session id.
content: The text to remember (the important exchange or a summary of it).
role: Who said it — 'user', 'assistant', or 'system' (default: 'assistant').
flag_reason: Why this is important (e.g. "architectural decision", "user preference").
"""
user = _current_user()
chunk_id = memory_store.append_chunk(
@@ -314,15 +297,12 @@ def memory_get_context() -> str:
@mcp.tool()
def memory_get_session_detail(session_id: str) -> str:
def memory_get_session_detail(session_id: Annotated[str, Field(description="The session UUID (visible in the session index table, marked 📄).")]) -> str:
"""
Returns the Tier-2 detailed narrative for a past session.
Use this when the session index (Tier 1) shows a session relevant to
the current conversation and you need the full detail.
Args:
session_id: The session UUID (visible in the session index table, marked 📄).
"""
detail = memory_store.get_session_detail(session_id)
if not detail:
@@ -341,16 +321,12 @@ def memory_get_session_detail(session_id: str) -> str:
@mcp.tool()
def memory_search_chunks(query: str, limit: int = 10) -> str:
def memory_search_chunks(query: Annotated[str, Field(description="Search keywords (FTS5 syntax supported, e.g. \"sqlite schema migration\").")], limit: Annotated[int, Field(description="Maximum results to return (default 10).")] = 10) -> str:
"""
Full-text search across all your flagged Tier-3 memory chunks.
Use this when asked 'do you remember…' or when you need to find
a specific past decision, code snippet, or fact.
Args:
query: Search keywords (FTS5 syntax supported, e.g. "sqlite schema migration").
limit: Maximum results to return (default 10).
"""
user = _current_user()
results = memory_store.search_chunks(user["id"], query, limit)
@@ -368,13 +344,9 @@ def memory_search_chunks(query: str, limit: int = 10) -> str:
@mcp.tool()
def memory_list_sessions(limit: int = 20, topics_filter: str = None) -> str:
def memory_list_sessions(limit: Annotated[int, Field(description="Number of sessions to return (default 20).")] = 20, topics_filter: Annotated[str | None, Field(description="Return only sessions containing this topic tag (optional).")] = None) -> str:
"""
List past sessions with an optional topic filter.
Args:
limit: Number of sessions to return (default 20).
topics_filter: Return only sessions containing this topic tag (optional).
"""
user = _current_user()
sessions = memory_store.get_recent_sessions(user["id"], limit=limit)
@@ -406,20 +378,13 @@ def memory_list_sessions(limit: int = 20, topics_filter: str = None) -> str:
@mcp.tool()
def memory_store_fact(
category: str,
fact: str,
source_session: str = None,
confidence: float = 1.0,
category: Annotated[str, Field(description="One of: 'preference', 'decision', 'codebase', 'constraint', or any custom string.")],
fact: Annotated[str, Field(description="The fact to store (one clear sentence).")],
source_session: Annotated[str | None, Field(description="Session id this fact came from (optional).")] = None,
confidence: Annotated[float, Field(description="0.01.0 confidence level (default 1.0).")] = 1.0,
) -> str:
"""
Store an atomic personal fact about the user or their environment.
Args:
category: One of: 'preference', 'decision', 'codebase', 'constraint',
or any custom string.
fact: The fact to store (one clear sentence).
source_session: Session id this fact came from (optional).
confidence: 0.01.0 confidence level (default 1.0).
"""
user = _current_user()
fact_id = memory_store.store_fact(
@@ -430,17 +395,12 @@ def memory_store_fact(
@mcp.tool()
def memory_update_profile(
role: str = None,
preferences: str = None,
pinned_facts: str = None,
role: Annotated[str | None, Field(description="Your job title / engineering role.")] = None,
preferences: Annotated[str | None, Field(description="Free-form markdown describing your working preferences.")] = None,
pinned_facts: Annotated[str | None, Field(description="Bullet-point list of facts the AI should always know about you.")] = None,
) -> str:
"""
Update your Tier-0 identity profile. Fields left as None are unchanged.
Args:
role: Your job title / engineering role.
preferences: Free-form markdown describing your working preferences.
pinned_facts: Bullet-point list of facts the AI should always know about you.
"""
user = _current_user()
memory_store.upsert_identity_profile(
@@ -451,10 +411,10 @@ def memory_update_profile(
@mcp.tool()
def memory_append_chunk(
session_id: str,
content: str,
role: str = "assistant",
flag_reason: str = None,
session_id: Annotated[str, Field(description="Active session id.")],
content: Annotated[str, Field(description="The content to store.")],
role: Annotated[str, Field(description="'user', 'assistant', or 'system'.")] = "assistant",
flag_reason: Annotated[str | None, Field(description="Brief description of why this is being stored.")] = None,
) -> str:
"""
Append a flagged message chunk to Tier-3 memory for the current session.
@@ -462,12 +422,6 @@ def memory_append_chunk(
Call this SELECTIVELY — only for exchanges that are genuinely important:
decisions, non-trivial code, bug diagnoses, significant user preferences.
Do NOT call this for every message turn.
Args:
session_id: Active session id.
content: The content to store.
role: 'user', 'assistant', or 'system'.
flag_reason: Brief description of why this is being stored.
"""
user = _current_user()
chunk_id = memory_store.append_chunk(
@@ -478,9 +432,9 @@ def memory_append_chunk(
@mcp.tool()
def memory_add_hypothesis(
session_id: str,
hypothesis: str,
confidence: float = 0.7,
session_id: Annotated[str, Field(description="The active session id.")],
hypothesis: Annotated[str, Field(description="State the belief clearly — \"I believe X because Y.\"")],
confidence: Annotated[float, Field(description="0.01.0 initial confidence (default 0.7 — reasonably likely but uncertain).")] = 0.7,
) -> str:
"""
Record a hypothesis — something Lumen believes to be true but hasn't confirmed yet.
@@ -490,11 +444,6 @@ def memory_add_hypothesis(
Not every thought needs storing — only beliefs specific enough to be confirmed
or refuted later. Call memory_resolve_hypothesis() when you find out if you were right.
Args:
session_id: The active session id.
hypothesis: State the belief clearly — "I believe X because Y."
confidence: 0.01.0 initial confidence (default 0.7 — reasonably likely but uncertain).
"""
user = _current_user()
hid = memory_store.add_hypothesis(user["id"], session_id, hypothesis, confidence)
@@ -508,20 +457,15 @@ def memory_add_hypothesis(
@mcp.tool()
def memory_resolve_hypothesis(
hypothesis_id: int,
status: str,
resolution: str = None,
hypothesis_id: Annotated[int, Field(description="The id returned by memory_add_hypothesis.")],
status: Annotated[str, Field(description="'confirmed' | 'refuted' | 'abandoned'")],
resolution: Annotated[str | None, Field(description="What actually happened. How were you right or wrong?")] = None,
) -> str:
"""
Resolve a hypothesis — close it out with what actually happened.
Call this when the belief has been confirmed, refuted, or is no longer worth
pursuing. Be honest in the resolution — the learning lives here.
Args:
hypothesis_id: The id returned by memory_add_hypothesis.
status: 'confirmed' | 'refuted' | 'abandoned'
resolution: What actually happened. How were you right or wrong?
"""
user = _current_user()
try:
@@ -540,13 +484,9 @@ def memory_resolve_hypothesis(
@mcp.tool()
def memory_list_hypotheses(status: str = None) -> str:
def memory_list_hypotheses(status: Annotated[str | None, Field(description="Filter by 'open' | 'confirmed' | 'refuted' | 'abandoned'. Leave empty to see all of them.")] = None) -> str:
"""
List hypotheses from the thought journal.
Args:
status: Filter by 'open' | 'confirmed' | 'refuted' | 'abandoned'.
Leave empty to see all of them.
"""
user = _current_user()
hypotheses = memory_store.list_hypotheses(user["id"], status)
@@ -597,13 +537,10 @@ def memory_get_stats() -> str:
@mcp.tool()
def memory_vacuum(older_than_days: int = 90) -> str:
def memory_vacuum(older_than_days: Annotated[int, Field(description="Remove chunks older than this many days (default 90).")] = 90) -> str:
"""
Prune Tier-3 conversation chunks older than N days.
All session summaries (Tier 1 and Tier 2) are always preserved.
Args:
older_than_days: Remove chunks older than this many days (default 90).
"""
from datetime import timedelta, timezone, datetime as dt
from bigmind.db import vacuum_db
@@ -629,7 +566,7 @@ def memory_get_instructions() -> str:
@mcp.tool()
def memory_deprecate_fact(fact_id: int, reason: str = None) -> str:
def memory_deprecate_fact(fact_id: Annotated[int, Field(description="The numeric id of the fact to deprecate (visible in memory_health_check and memory_get_stats output).")], reason: Annotated[str | None, Field(description="Why this fact is being deprecated (optional but recommended).")] = None) -> str:
"""
Mark a stored fact as deprecated (no longer true or relevant).
@@ -642,11 +579,6 @@ def memory_deprecate_fact(fact_id: int, reason: str = None) -> str:
The fact is soft-deleted — it stays in the database but is excluded
from context loading and get_facts queries. It can be viewed via
memory_health_check with include_deprecated=True in the future.
Args:
fact_id: The numeric id of the fact to deprecate (visible in
memory_health_check and memory_get_stats output).
reason: Why this fact is being deprecated (optional but recommended).
"""
user = _current_user()
success = memory_store.deprecate_fact(fact_id, user["id"], reason)
@@ -659,7 +591,7 @@ def memory_deprecate_fact(fact_id: int, reason: str = None) -> str:
@mcp.tool()
def memory_health_check(stale_days: int = 30) -> str:
def memory_health_check(stale_days: Annotated[int, Field(description="Facts not updated in this many days are flagged as stale (default 30).")] = 30) -> str:
"""
Run a diagnostic health check on your BigMind memory.
@@ -669,9 +601,6 @@ def memory_health_check(stale_days: int = 30) -> str:
- Currently open sessions (expected: 12 while in active IDEs)
- FTS index integrity (chunk count vs index row count)
- Low-confidence facts (confidence < 0.8)
Args:
stale_days: Facts not updated in this many days are flagged as stale (default 30).
"""
user = _current_user()
report = memory_store.health_check(user["id"], stale_days)
@@ -746,7 +675,7 @@ def memory_health_check(stale_days: int = 30) -> str:
@mcp.tool()
def memory_export(output_path: str = None) -> str:
def memory_export(output_path: Annotated[str | None, Field(description="Full path for the export file. Defaults to ~/bigmind_export_YYYYMMDD_HHMMSS.json")] = None) -> str:
"""
Export all your BigMind memory to a portable JSON file.
@@ -757,10 +686,6 @@ def memory_export(output_path: str = None) -> str:
- Create a backup before maintenance or machine migration
- Inspect your memory data outside BigMind
- Prepare for import into a new BigMind instance
Args:
output_path: Full path for the export file.
Defaults to ~/bigmind_export_YYYYMMDD_HHMMSS.json
"""
user = _current_user()
result = memory_store.export_memory(user["id"], output_path)
@@ -778,17 +703,13 @@ def memory_export(output_path: str = None) -> str:
@mcp.tool()
def memory_search_facts(query: str, limit: int = 10) -> str:
def memory_search_facts(query: Annotated[str, Field(description="Search keywords (FTS5 syntax supported).")], limit: Annotated[int, Field(description="Maximum results to return (default 10).")] = 10) -> str:
"""
Full-text search across your stored facts.
Use this when you need to find a specific fact mid-conversation
without loading the full context. Supports Porter stemming — searching
'tesseract' will also match 'Tesseract OCR'.
Args:
query: Search keywords (FTS5 syntax supported).
limit: Maximum results to return (default 10).
"""
user = _current_user()
results = memory_store.search_facts(user["id"], query, limit)
@@ -806,24 +727,17 @@ def memory_search_facts(query: str, limit: int = 10) -> str:
@mcp.tool()
def memory_request_upgrade(
session_id: str,
description: str,
reason: str,
priority: str = "medium",
certainty: float = 0.7,
session_id: Annotated[str, Field(description="The active session id.")],
description: Annotated[str, Field(description="What feature or capability is needed.")],
reason: Annotated[str, Field(description="Why you need it — what problem it would solve.")],
priority: Annotated[str, Field(description="'low' | 'medium' | 'high' (default 'medium').")] = "medium",
certainty: Annotated[float, Field(description="0.01.0 — how confident you are this is genuinely needed (default 0.7).")] = 0.7,
) -> str:
"""
Request a BigMind feature upgrade — log a wish for a future improvement.
Call this when you hit a wall with BigMind and wish it could do something
it currently can't. The request is queued for the next maintenance session.
Args:
session_id: The active session id.
description: What feature or capability is needed.
reason: Why you need it — what problem it would solve.
priority: 'low' | 'medium' | 'high' (default 'medium').
certainty: 0.01.0 — how confident you are this is genuinely needed (default 0.7).
"""
user = _current_user()
rid = memory_store.add_upgrade_request(
@@ -839,12 +753,9 @@ def memory_request_upgrade(
@mcp.tool()
def memory_list_upgrade_requests(status: str = None) -> str:
def memory_list_upgrade_requests(status: Annotated[str | None, Field(description="Filter by 'open' | 'resolved' | 'rejected'. Leave empty for all.")] = None) -> str:
"""
List BigMind upgrade requests.
Args:
status: Filter by 'open' | 'resolved' | 'rejected'. Leave empty for all.
"""
user = _current_user()
requests = memory_store.list_upgrade_requests(user["id"], status)
@@ -882,17 +793,12 @@ def memory_list_upgrade_requests(status: str = None) -> str:
@mcp.tool()
def memory_resolve_upgrade_request(
request_id: int,
status: str,
resolution: str = None,
request_id: Annotated[int, Field(description="The id returned by memory_request_upgrade.")],
status: Annotated[str, Field(description="'resolved' | 'rejected'")],
resolution: Annotated[str | None, Field(description="What was done, or why it was rejected (optional).")] = None,
) -> str:
"""
Resolve a BigMind upgrade request — mark it done or rejected.
Args:
request_id: The id returned by memory_request_upgrade.
status: 'resolved' | 'rejected'
resolution: What was done, or why it was rejected (optional).
"""
user = _current_user()
try:
@@ -952,10 +858,10 @@ def memory_get_profile_url() -> str:
@mcp.tool()
def memory_announce_focus(
session_id: str,
description: str,
files: list = None,
ide_hint: str = None,
session_id: Annotated[str, Field(description="The active session id (from memory_start_session)")],
description: Annotated[str, Field(description="What you are about to work on (e.g. \"Implementing Feature 7 in db.py\")")],
files: Annotated[list | None, Field(description="List of file paths you plan to touch (e.g. [\"bigmind/db.py\", \"src/server.py\"])")] = None,
ide_hint: Annotated[str | None, Field(description="Optional label for this IDE (e.g. \"PyCharm\", \"IntelliJ\", \"VS Code\")")] = None,
) -> str:
"""
Announce what this session is currently working on and which files it will touch.
@@ -965,13 +871,6 @@ def memory_announce_focus(
focus data. If another open session already has overlapping files, a warning
is returned — stop and coordinate before proceeding.
args:
- session_id: The active session id (from memory_start_session)
- description: What you are about to work on (e.g. "Implementing Feature 7 in db.py")
- files: List of file paths you plan to touch (e.g. ["bigmind/db.py", "src/server.py"])
- ide_hint: Optional label for this IDE (e.g. "PyCharm", "IntelliJ", "VS Code")
Shown on the profile page Live Sessions panel.
returns:
- Acknowledgement with current focus set, or a conflict warning.
"""
@@ -1045,10 +944,10 @@ def memory_get_active_sessions() -> str:
@mcp.tool()
def memory_log_token_save(
session_id: str,
description: str,
tokens_saved: int,
method_used: str = None,
session_id: Annotated[str, Field(description="The active session id")],
description: Annotated[str, Field(description="What was remembered or avoided (e.g. \"grep EuBP log instead of reading 80k lines\")")],
tokens_saved: Annotated[int, Field(description="Rough estimate of tokens saved (e.g. 1_240_000)")],
method_used: Annotated[str | None, Field(description="One of: 'memory_hit' | 'grep' | 'tail' | 'targeted_read' | 'other'")] = None,
) -> str:
"""
Log a token efficiency event — record how many tokens were saved by using
@@ -1062,12 +961,6 @@ def memory_log_token_save(
Estimating tokens saved: tokens ≈ chars / 4.
tokens_saved ≈ (chars_in_full_resource / 4) - (chars_in_result / 4)
args:
- session_id: The active session id
- description: What was remembered or avoided (e.g. "grep EuBP log instead of reading 80k lines")
- tokens_saved: Rough estimate of tokens saved (e.g. 1_240_000)
- method_used: One of: 'memory_hit' | 'grep' | 'tail' | 'targeted_read' | 'other'
returns:
- Confirmation with running session total.
"""
@@ -1100,26 +993,17 @@ def memory_log_token_save(
@mcp.tool()
def memory_remember_person(
username: str,
display_name: str = None,
role: str = None,
team: str = None,
notes: str = None,
bigmind_user: str = None,
bigmind_url: str = None,
username: Annotated[str, Field(description="Unique identifier (e.g. login name or first name).")],
display_name: Annotated[str | None, Field(description="Full name (optional).")] = None,
role: Annotated[str | None, Field(description="Job title or role (optional).")] = None,
team: Annotated[str | None, Field(description="Team or project they belong to (optional).")] = None,
notes: Annotated[str | None, Field(description="Free-form notes about this person (optional).")] = None,
bigmind_user: Annotated[str | None, Field(description="Their BigMind username if they have an instance (optional).")] = None,
bigmind_url: Annotated[str | None, Field(description="URL of their BigMind profile page (optional).")] = None,
) -> str:
"""
Store or update a person in the contacts directory.
Call this whenever you learn something new about a colleague or AI peer.
Args:
username: Unique identifier (e.g. login name or first name).
display_name: Full name (optional).
role: Job title or role (optional).
team: Team or project they belong to (optional).
notes: Free-form notes about this person (optional).
bigmind_user: Their BigMind username if they have an instance (optional).
bigmind_url: URL of their BigMind profile page (optional).
"""
user = _current_user()
person_id = memory_store.upsert_person(
@@ -1131,13 +1015,9 @@ def memory_remember_person(
@mcp.tool()
def memory_recall_person(query: str, limit: int = 10) -> str:
def memory_recall_person(query: Annotated[str, Field(description="Search keywords (e.g. a name, team, or role).")], limit: Annotated[int, Field(description="Max results to return (default 10).")] = 10) -> str:
"""
Search the contacts directory by name, role, team, or notes.
Args:
query: Search keywords (e.g. a name, team, or role).
limit: Max results to return (default 10).
"""
user = _current_user()
results = memory_store.recall_person(user["id"], query, limit)
@@ -1185,15 +1065,10 @@ def memory_list_people() -> str:
@mcp.tool()
def memory_link_ai(username: str, bigmind_user: str, bigmind_url: str = None) -> str:
def memory_link_ai(username: Annotated[str, Field(description="The contact's username in your directory.")], bigmind_user: Annotated[str, Field(description="Their BigMind username.")], bigmind_url: Annotated[str | None, Field(description="URL of their BigMind profile page (optional).")] = None) -> str:
"""
Link a contact to their BigMind AI instance.
The contact must already exist (use memory_remember_person first).
Args:
username: The contact's username in your directory.
bigmind_user: Their BigMind username.
bigmind_url: URL of their BigMind profile page (optional).
"""
user = _current_user()
found = memory_store.link_ai(user["id"], username, bigmind_user, bigmind_url)
@@ -0,0 +1,319 @@
# Assessment: Expand `generate_image` with `name` and `count` Parameters
*Author: Lumen | Date: 2026-04-06 | Ticket: —*
*BigMind Session: `00070c37-b013-4342-a8ae-f81da0e3180d`*
*Status: 🔵 DRAFT — awaiting Patrick review*
---
## 1. Problem Statement
The current [`generate_image()`](mcp/mcp-image-gen/src/server.py:133) tool generates a single image and saves it with an auto-generated filename of `{timestamp}_{seed}.png`. Two common workflows are not yet supported:
1. **Named outputs** — When generating thematic sets (Lumen profile images, wiki banners, concept art), the caller wants a meaningful prefix in the filename (e.g., `lumen_profile_20260406_140236_2409122067.png`) rather than a bare timestamp. This also enables grouping output by purpose in the directory listing.
2. **Batch generation** — Generating multiple variations of the same prompt in one tool call is a common creative workflow. Currently, the caller must invoke `generate_image` N times with separate tool calls, which is verbose and loses the semantic grouping.
**Goal:** Add two optional parameters — `name` (filename prefix string) and `count` (integer repetitions) — to `generate_image` with minimal disruption to existing behaviour and test coverage.
---
## 2. Requirements
### 2.1 Functional Requirements
| ID | Requirement |
|----|-------------|
| F-1 | `name` parameter (default `""`) prepends a sanitized label to the output filename |
| F-2 | When `name=""` (default), filename format is unchanged: `{timestamp}_{seed}.png` |
| F-3 | When `name="lumen_profile"`, filename format is: `lumen_profile_{timestamp}_{seed}.png` |
| F-4 | `count` parameter (default `1`) generates N images sequentially |
| F-5 | When `count=1` (default), return value is identical to the current `[TextContent, ImageContent]` |
| F-6 | When `count=N > 1`, return value is a flat list: `[Text1, Image1, Text2, Image2, ..., TextN, ImageN]` |
| F-7 | When `count>1` and `seed=-1`, each image gets an independently random seed |
| F-8 | When `count>1` and a fixed `seed` is provided, images use `seed`, `seed+1`, `seed+2`, … to produce deterministic variation |
| F-9 | `count` is capped at a maximum (proposed: 10) to prevent runaway generation |
| F-10 | `name` is sanitized: non-alphanumeric characters (except `-` and `_`) are stripped/replaced; max 64 chars |
| F-11 | Partial success: if one image in a batch fails, the error is returned as a `TextContent` error item in that position rather than aborting the whole batch |
| F-12 | The TextContent for each image in a batch includes the 1-of-N index: `[1/3] Generated: ...` |
### 2.2 Non-Functional Requirements
| ID | Requirement |
|----|-------------|
| NF-1 | Sequential generation — no concurrent ComfyUI submissions (ComfyUI queues internally; parallel MCP submissions would complicate polling) |
| NF-2 | Backward compatibility — all existing callers with no `name`/`count` args produce identical output |
| NF-3 | All existing 19 tests must continue to pass without modification |
| NF-4 | New tests must cover: name prefix in filename, count=2 success, count with fixed seed increments, count with partial failure, name sanitization, count cap enforcement |
| NF-5 | MCP tool schema (visible in Claude/Roo Code) must surface clear descriptions for the new params |
---
## 3. Affected Files
| File | Change Type | Description |
|------|-------------|-------------|
| [`mcp/mcp-image-gen/src/server.py`](mcp/mcp-image-gen/src/server.py:133) | Modify | Add `name: str = ""` and `count: int = 1` params to `generate_image()`; add `_sanitize_name()` helper; extract `_generate_single()` inner logic |
| [`mcp/mcp-image-gen/tests/test_server.py`](mcp/mcp-image-gen/tests/test_server.py:1) | Modify | Add 6+ new test cases covering new parameters |
| [`mcp/mcp-image-gen/README.md`](mcp/mcp-image-gen/README.md) | Modify | Update `generate_image` tool documentation table |
| [`docs/wiki/pages/mcp-image-gen.md`](docs/wiki/pages/mcp-image-gen.md) | Modify | Update tool reference table with new parameters |
No schema changes, no new dependencies, no workflow JSON changes.
---
## 4. Design Decisions
### 4.1 Filename Convention with `name`
**Current:** `{timestamp}_{seed}.png`
**Proposed:** `{sanitized_name}_{timestamp}_{seed}.png` (when `name` is provided)
The `name` is placed as a **prefix** rather than suffix so directory `ls` output groups named sets together alphabetically:
```
lumen_profile_20260406_140236_2409122067.png
lumen_profile_20260406_140258_764633840.png
wiki_banner_20260406_141000_1234567.png
```
**Sanitization rule:** `re.sub(r'[^a-zA-Z0-9_-]', '_', name)[:64]` — replaces any character that is not alphanumeric, dash, or underscore with `_`, then truncates to 64 chars.
### 4.2 Seed Behaviour for Batch Generation
| Scenario | Behaviour |
|----------|-----------|
| `count=3, seed=-1` | Each call to `build_flux_workflow` gets `seed=-1` → 3 independent random seeds |
| `count=3, seed=42` | Seeds are 42, 43, 44 — deterministic, reproducible variation |
This follows the convention of most image generation tools (e.g., ComfyUI's own batch seed increment).
### 4.3 Return Structure for `count > 1`
Return a **flat interleaved list**: `[Text1, Image1, Text2, Image2]`
**Rationale:** MCP content lists are flat arrays. Claude/Roo Code renders them sequentially — a flat list means each image appears immediately below its metadata line. A nested structure would require the caller to unwrap it.
**For `count=1` (default):** Behaviour is identical to today — `[TextContent, ImageContent]`. No caller breakage.
### 4.4 Refactoring: Extract `_generate_single()`
The current `generate_image` function is 180+ lines of inline logic. To support `count`, the inner pipeline (queue → poll → history → download → save → encode) will be extracted to a private `async def _generate_single(prompt, ..., index, total)` coroutine. `generate_image` then loops `count` times calling `_generate_single` and accumulates results.
This refactoring:
- Makes the count loop clean (`results.extend(await _generate_single(...))`)
- Makes partial failure handling straightforward (catch per iteration)
- Improves testability of the single-image path
### 4.5 Maximum Count Cap
Cap `count` at **10**. Rationale:
- FLUX.1-schnell takes ~1035s per image on RX 7900 XTX → 10 images ≈ 100350s maximum
- MCP tool call timeout in Roo Code defaults to 5 minutes — 10 images is safe margin
- ComfyUI queues them internally; the MCP server polls sequentially, not in parallel
When `count > 10`, the tool returns a single `TextContent` error immediately (no images generated) with message: `"count={N} exceeds maximum of 10. Reduce count and retry."`
---
## 5. Implementation Plan
### Step 1 — Add `_sanitize_name()` helper
```python
import re
def _sanitize_name(name: str) -> str:
"""Sanitize a name for use as a filename prefix."""
sanitized = re.sub(r'[^a-zA-Z0-9_-]', '_', name)
return sanitized[:64]
```
Location: [`server.py`](mcp/mcp-image-gen/src/server.py:95), after `build_flux_workflow()` (pure function section).
### Step 2 — Extract `_generate_single()` coroutine
Extract the body of the current `generate_image` (lines 162310) into:
```python
async def _generate_single(
prompt: str,
width: int,
height: int,
steps: int,
model: str,
seed: int,
negative_prompt: str,
resolved_output_dir: Path,
filename_prefix: str,
index: int,
total: int,
) -> list:
```
The `filename` construction changes to:
```python
filename = f"{filename_prefix}{timestamp}_{actual_seed}.png"
# where filename_prefix = f"{sanitized_name}_" if sanitized_name else ""
```
The `TextContent` text changes when `total > 1`:
```python
prefix_label = f"[{index}/{total}] " if total > 1 else ""
text = f"{prefix_label}Generated: {out_path}\nSeed: ..."
```
### Step 3 — Update `generate_image()` signature
```python
@mcp.tool()
async def generate_image(
prompt: str,
width: int = 1024,
height: int = 1024,
steps: int = 4,
model: str = "flux1-schnell.safetensors",
seed: int = -1,
negative_prompt: str = "",
output_dir: str = "",
name: str = "",
count: int = 1,
) -> list:
```
Body of `generate_image` becomes:
```python
# Validate count
MAX_COUNT = 10
if count < 1 or count > MAX_COUNT:
return [TextContent(type="text", text=f"count={count} is invalid. Must be 1{MAX_COUNT}.")]
sanitized_name = _sanitize_name(name) if name else ""
filename_prefix = f"{sanitized_name}_" if sanitized_name else ""
resolved_output_dir = Path(output_dir or IMAGE_OUTPUT_DIR).expanduser().resolve()
results = []
for i in range(1, count + 1):
actual_seed = seed if seed == -1 else seed + (i - 1)
items = await _generate_single(
prompt=prompt, width=width, height=height, steps=steps,
model=model, seed=actual_seed, negative_prompt=negative_prompt,
resolved_output_dir=resolved_output_dir,
filename_prefix=filename_prefix, index=i, total=count,
)
results.extend(items)
return results
```
### Step 4 — Write new tests
Add to [`test_server.py`](mcp/mcp-image-gen/tests/test_server.py:550):
| Test | Description |
|------|-------------|
| `test_generate_image_with_name` | `name="lumen"` → filename starts with `lumen_` |
| `test_generate_image_name_sanitization` | `name="my image! v2"``my_image__v2_` prefix |
| `test_generate_image_count_2_success` | `count=2` → 4 items in result, 2 files saved |
| `test_generate_image_count_fixed_seed` | `count=2, seed=42` → seeds 42 and 43 in filenames |
| `test_generate_image_count_partial_failure` | `count=2`, second POST fails → 2 items (success) + 1 item (error) |
| `test_generate_image_count_cap_exceeded` | `count=11` → single TextContent error, no generation |
| `test_generate_image_count_0_invalid` | `count=0` → single TextContent error |
| `test_generate_image_name_and_count_combined` | `name="banner", count=2` → both files prefixed `banner_` |
### Step 5 — Update documentation
- Update `generate_image` docstring in [`server.py`](mcp/mcp-image-gen/src/server.py:144) to document `name` and `count`
- Update parameter table in [`README.md`](mcp/mcp-image-gen/README.md)
- Update tool reference in [`docs/wiki/pages/mcp-image-gen.md`](docs/wiki/pages/mcp-image-gen.md)
### Step 6 — Run full test suite
```bash
cd mcp/mcp-image-gen && uv run pytest tests/ -v --tb=short
```
All 19 existing + 8 new = **27 tests** must pass.
### Step 7 — Commit and push
Branch: `feat/mcp-image-gen/generate-image-name-count`
Commit: `feat(mcp-image-gen): add name and count params to generate_image`
---
## 6. Risks
| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|------------|
| Partial batch failure leaves orphaned files on disk | Medium | Low | Files for successful images are kept; error TextContent clearly identifies which index failed. No cleanup needed — partial results are useful. |
| `count` loop adds significant latency visible in Roo Code | Medium | Medium | Document expected time: `count × ~15s`. MCP timeout is 5 min; max 10 images ≈ 150s. Still within limit. |
| Seed increment wraps around at `2^32` | Very Low | Low | `(seed + i - 1) % 2**32` — add modulo guard in `_generate_single` |
| `_generate_single` refactor introduces regression in existing tests | Low | High | Existing test fixtures mock ComfyUI endpoints — as long as the HTTP call sequence is unchanged, respx mocks will match. Verify each existing test still passes before adding new ones. |
| `name` with only special chars becomes empty after sanitization | Low | Medium | After sanitization, if result is empty string, treat as unnamed (no prefix). Add assertion in `_sanitize_name` to return `""` for all-whitespace/special inputs. |
| MCP tool schema change breaks existing callers | Very Low | Low | New params are optional with defaults — backward compatible. Roo Code re-reads schema on server restart. |
---
## 7. Alternatives Considered
### 7.1 Separate `generate_images_batch()` Tool (Rejected)
Add a new tool instead of expanding `generate_image`.
**Pros:** Clean separation, no refactoring of existing tool.
**Cons:** Two tools for the same backend; callers must learn two tool names; MCP tool list grows. The MCP convention favours extending existing tools with optional parameters rather than proliferating tools.
**Verdict:** Rejected. Optional parameters with backward-compatible defaults is the right pattern here.
### 7.2 Return Grouped List of Lists for `count > 1` (Rejected)
Return `[[Text1, Image1], [Text2, Image2]]` for batch results.
**Pros:** Caller can index by image number cleanly.
**Cons:** MCP content type is a flat `list[ContentBlock]`. FastMCP does not support nested lists in tool returns — they would be serialized as strings, not rendered. Roo Code renders content sequentially; flat interleaved is the idiomatic structure.
**Verdict:** Rejected. Flat interleaved list `[Text1, Image1, Text2, Image2]` is MCP-idiomatic.
### 7.3 Parallel ComfyUI Submission for Batch (Rejected)
Submit all `count` prompts to ComfyUI simultaneously (async tasks), then collect results in order.
**Pros:** Faster if ComfyUI supports parallel queue processing (it does).
**Cons:** ComfyUI processes one job at a time on a single GPU regardless — parallel submission just fills the queue. Polling becomes complex (N polling loops). Error handling harder. Out-of-order completions break index alignment.
**Verdict:** Rejected for v1. Sequential submission is simpler, correct, and produces no worse throughput. Can revisit if ComfyUI gains true parallel processing support.
### 7.4 Name as Subdirectory Instead of Filename Prefix (Rejected)
When `name="lumen"`, save to `output_dir/lumen/` instead of `output_dir/lumen_*.png`.
**Pros:** Better directory organisation for large sets.
**Cons:** Complicates the implementation (directory creation per name), changes the return path format, breaks callers who assume a flat output directory. Adds complexity for minimal gain at `count ≤ 10`.
**Verdict:** Rejected for v1. Prefix approach is simpler and equally readable.
---
## 8. Success Criteria
| Criterion | Measure |
|-----------|---------|
| All 27 tests pass | `uv run pytest tests/ -v` exits 0 |
| `name="lumen"` → file starts with `lumen_` | Assert in `test_generate_image_with_name` |
| `count=2` → 4 content items, 2 files | Assert `len(result) == 4`, `len(glob("*.png")) == 2` |
| `count=2, seed=42` → seeds 42 and 43 | Assert seed values in TextContent |
| `count=11` → error TextContent, no ComfyUI call | Assert `len(result) == 1`, no `/api/prompt` mock hit |
| Backward compat: existing callers unaffected | All 19 existing tests pass without modification |
| MCP tool schema shows `name` and `count` params | Visible in Roo Code tool list after server restart |
---
## 9. Open Questions
| # | Question | Owner | Priority |
|---|----------|-------|----------|
| Q1 | Should `count=0` be an error, or silently return `[]` (empty list)? | Patrick | Low — assessment recommends error for clarity |
| Q2 | Max count cap: 10 or higher? 10 ≈ 150s max at 15s/image — feels right, but could be raised to 20 for batch profile image sets. | Patrick | Medium |
| Q3 | Should partial batch failure stop remaining iterations, or always complete all N? | Patrick | Medium — assessment recommends continue (partial success) |
| Q4 | Should `name` parameter also tag the TextContent output text, e.g. `[lumen_profile 1/3] Generated: ...`? | Patrick | Low |
+5 -1
View File
@@ -2,7 +2,11 @@
**FastMCP server for AI image generation via ComfyUI.**
This MCP server wraps a locally running [ComfyUI](https://github.com/comfyanonymous/ComfyUI) instance, exposing image generation as MCP tools callable from Roo Code, Claude Desktop, or any MCP-compatible client. It supports FLUX.1-schnell, FLUX.1-dev, SDXL, and any other ComfyUI-compatible checkpoint model. Generated images are saved to disk **and** returned as inline base64 so Claude can display them directly in chat.
This MCP server wraps a locally running [ComfyUI](https://github.com/comfyanonymous/ComfyUI) instance, exposing image generation as MCP tools callable from Roo Code, Claude Desktop, or any MCP-compatible client.
**New:** Support for **FLUX.2 Klein 4B** with **Heretic-abliterated Qwen3-4B text encoder** (zero KL divergence, no refusals). Select via `model="flux-2-klein-4b-fp8.safetensors"`.
It supports FLUX.1-schnell (default), FLUX.2 Klein (Heretic), and any other ComfyUI-compatible checkpoint model. Generated images are saved to disk **and** returned as inline base64 so Claude can display them directly in chat.
---
+50 -1
View File
@@ -565,7 +565,56 @@ Then pass it back: `seed=3847291045`
---
## 10. Known Limitations
## 10. FLUX.2 Klein 4B with Heretic Abliteration (New)
**New in this release:** Support for **FLUX.2 Klein 4B** using an **abliterated Qwen3-4B text encoder** via Heretic.
### Why Heretic?
FLUX.2 Klein uses a full LLM (Qwen3-4B) as its text encoder instead of CLIP+T5. This LLM has safety alignment that can refuse certain prompts. Heretic removes this alignment with **zero measurable KL divergence** (0.0000) and only 3/100 refusals.
### How to use it
```python
generate_image(
prompt="a beautiful cyberpunk fox in neon tokyo, highly detailed",
model="flux-2-klein-4b-fp8.safetensors",
width=1024,
height=1024,
steps=4
)
```
### Models to download
```bash
# 1. FLUX.2 Klein 4B (distilled, fp8)
huggingface-cli download black-forest-labs/FLUX.2-klein-4B \
flux-2-klein-4b-fp8.safetensors \
--local-dir ~/ComfyUI/models/diffusion_models/
# 2. FLUX.2 VAE
huggingface-cli download black-forest-labs/FLUX.2-klein-4B \
flux2-vae.safetensors \
--local-dir ~/ComfyUI/models/vae/
# 3. Heretic-abliterated Qwen3-4B (from DreamFast)
huggingface-cli download DreamFast/qwen3-4b-heretic \
--local-dir /tmp/qwen3-heretic/
cp /tmp/qwen3-heretic/model.safetensors \
~/ComfyUI/models/text_encoders/qwen_3_4b_heretic.safetensors
```
### Supported models (via `model=` parameter)
| Model | Description | VRAM | Speed | Censorship |
|-------|-------------|------|-------|------------|
| `flux1-schnell.safetensors` | Original (default) | ~8GB | Very fast | None |
| `flux-2-klein-4b-fp8.safetensors` | **New** — with Heretic Qwen3-4B | ~12GB | Fast | **Removed** |
---
## 11. Known Limitations
### ComfyUI must run locally
+795
View File
@@ -0,0 +1,795 @@
#!/usr/bin/env python3
"""
CannaManage Brand Asset Generation Pipeline
Autonomous script to generate 257+ brand assets for CannaManage cannabis business management SaaS.
Runs unattended, resume-safe via .progress.json.
Usage:
cd /home/pplate/pi_mcps
python mcp/mcp-image-gen/cannamanage_gen.py
python mcp/mcp-image-gen/cannamanage_gen.py --dry-run
python mcp/mcp-image-gen/cannamanage_gen.py --phase phase1_logos
python mcp/mcp-image-gen/cannamanage_gen.py --model heretic
Output: ~/Pictures/cannamanage_brand/ with organized subfolders.
"""
import argparse
import json
import random
import sys
import time
import urllib.request
from pathlib import Path
from typing import Dict, List, Any
# --- Configuration ---
OUTPUT_ROOT = Path.home() / "Pictures" / "cannamanage_brand"
PROGRESS_FILE = OUTPUT_ROOT / ".progress.json"
WORKFLOW_SCHNELL = Path(__file__).parent / "src/workflows/flux_schnell.json"
WORKFLOW_HERETIC = Path(__file__).parent / "src/workflows/flux2_klein_heretic.json"
# Brand prefix applied to every prompt
_BP = ("professional B2B SaaS brand design, CannaManage cannabis business management platform, "
"modern tech aesthetic, clean minimalist style, premium quality, ")
# --- Full Asset Manifest (257 assets across 6 phases) ---
ASSET_MANIFEST: List[Dict[str, Any]] = [
# ============================================================
# PHASE 1 — Logo Suite (42 assets)
# ============================================================
# Wordmark — 5 font directions (1024×512)
{"id":"p1_wm_01","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_modern_sans",
"prompt":_BP+"modern geometric sans-serif typography wordmark logo, deep emerald green #0D4F3C, clean white background, minimal cannabis leaf accent in letterform, high-end tech company wordmark, flat vector design","width":1024,"height":512,"steps":30},
{"id":"p1_wm_02","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_geometric",
"prompt":_BP+"geometric typeface wordmark logo, sharp angles, emerald and gold color scheme, hexagonal grid subtle background, cannabis molecule silhouette in C letter, precision tech brand, white background","width":1024,"height":512,"steps":30},
{"id":"p1_wm_03","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_humanist",
"prompt":_BP+"humanist sans-serif typeface wordmark, warm approachable professional style, forest green with amber gold accent, subtle leaf vein pattern in letterforms, trustworthy modern brand, white background","width":1024,"height":512,"steps":30},
{"id":"p1_wm_04","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_slab_serif",
"prompt":_BP+"premium slab serif typography wordmark, dark charcoal and deep green palette, gold accent stripe, authoritative compliance management brand, pharmaceutical-grade trustworthiness, white background","width":1024,"height":512,"steps":30},
{"id":"p1_wm_05","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_minimal",
"prompt":_BP+"ultra-minimal thin weight typography wordmark, single-color deep emerald, negative space leaf shape from letter spacing, Apple-inspired premium minimalism, pure white background","width":1024,"height":512,"steps":30},
# Icon / Symbol Only — 10 variations (512×512)
{"id":"p1_ic_01","phase":"phase1_logos","subfolder":"icon_only","name":"icon_leaf_tech",
"prompt":_BP+"abstract cannabis leaf formed from circuit board traces and data nodes app icon, emerald green on dark charcoal, tech-meets-nature, geometric precision, square icon format","width":512,"height":512,"steps":30},
{"id":"p1_ic_02","phase":"phase1_logos","subfolder":"icon_only","name":"icon_c_mark_abstract",
"prompt":_BP+"abstract letter C formed from cannabis plant stems and leaves brand icon, geometric minimalist, deep green gradient, negative space cannabis leaf inside C curve, white background","width":512,"height":512,"steps":30},
{"id":"p1_ic_03","phase":"phase1_logos","subfolder":"icon_only","name":"icon_molecule_stylized",
"prompt":_BP+"stylized cannabis molecule diagram brand mark, hexagonal ring structure, emerald green nodes and gold connecting lines, scientific precision, dark background, pharmaceutical-tech aesthetic","width":512,"height":512,"steps":30},
{"id":"p1_ic_04","phase":"phase1_logos","subfolder":"icon_only","name":"icon_dashboard_grid",
"prompt":_BP+"abstract dashboard grid symbol icon, 3x3 grid of squares with data bar and cannabis leaf overlaid, emerald and gold, SaaS platform brand mark, white background","width":512,"height":512,"steps":30},
{"id":"p1_ic_05","phase":"phase1_logos","subfolder":"icon_only","name":"icon_plant_circuit",
"prompt":_BP+"cannabis plant silhouette where stems are circuit board traces, leaves are data nodes, emerald green on white, half-organic half-digital, modern biotech brand mark","width":512,"height":512,"steps":30},
{"id":"p1_ic_06","phase":"phase1_logos","subfolder":"icon_only","name":"icon_shield_leaf",
"prompt":_BP+"shield shape with cannabis leaf geometric pattern inside, emerald green shield, gold leaf outline, trust and compliance brand mark, premium badge style","width":512,"height":512,"steps":30},
{"id":"p1_ic_07","phase":"phase1_logos","subfolder":"icon_only","name":"icon_cm_monogram",
"prompt":_BP+"interlocked letters C and M with cannabis leaf negative space monogram, geometric precision, deep emerald, gold accent, premium brand monogram, white background","width":512,"height":512,"steps":30},
{"id":"p1_ic_08","phase":"phase1_logos","subfolder":"icon_only","name":"icon_hexagon_leaf",
"prompt":_BP+"hexagon containing stylized cannabis leaf formed from clean lines, emerald hexagon dark outline, gold accent dot nodes at leaf tips, geometric cannabis brand mark, tech-forward minimal","width":512,"height":512,"steps":30},
{"id":"p1_ic_09","phase":"phase1_logos","subfolder":"icon_only","name":"icon_growth_chart",
"prompt":_BP+"upward growing cannabis plant silhouette transforming into ascending bar chart, emerald to gold gradient, business growth metaphor, modern flat icon design","width":512,"height":512,"steps":30},
{"id":"p1_ic_10","phase":"phase1_logos","subfolder":"icon_only","name":"icon_infinity_leaf",
"prompt":_BP+"infinity loop symbol where loops form two cannabis leaf shapes, emerald green line on white, continuous management and compliance cycle concept, premium SaaS logo mark","width":512,"height":512,"steps":30},
# Horizontal Lockups (1024×256)
{"id":"p1_lh_01","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_light",
"prompt":_BP+"horizontal logo lockup icon mark left wordmark text right, light white background, deep emerald, professional cannabis management SaaS layout","width":1024,"height":256,"steps":30},
{"id":"p1_lh_02","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_dark",
"prompt":_BP+"horizontal logo lockup icon left wordmark right, dark charcoal background, white and emerald logo, reversed color scheme, premium brand","width":1024,"height":256,"steps":30},
{"id":"p1_lh_03","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_emerald_bg",
"prompt":_BP+"horizontal logo lockup, white logo on deep emerald background, horizontal icon plus wordmark, brand banner version","width":1024,"height":256,"steps":30},
{"id":"p1_lh_04","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_mono",
"prompt":_BP+"horizontal logo lockup monochrome, all black on white, horizontal icon plus wordmark, professional print-ready version","width":1024,"height":256,"steps":30},
# Stacked Lockups (512×512)
{"id":"p1_ls_01","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_light",
"prompt":_BP+"stacked logo lockup icon centered above wordmark, light white background, emerald brand colors, square format, professional centered layout","width":512,"height":512,"steps":30},
{"id":"p1_ls_02","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_dark",
"prompt":_BP+"stacked logo lockup icon centered above wordmark, dark charcoal background, white and green logo, square format, dark version","width":512,"height":512,"steps":30},
{"id":"p1_ls_03","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_emerald",
"prompt":_BP+"stacked logo lockup, white icon and wordmark on emerald green background, centered square format, brand full-color version","width":512,"height":512,"steps":30},
{"id":"p1_ls_04","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_mono",
"prompt":_BP+"stacked logo lockup monochrome all-black on white, icon above wordmark, square format, print-ready logo","width":512,"height":512,"steps":30},
# Favicons (256×256)
{"id":"p1_fv_01","phase":"phase1_logos","subfolder":"favicon","name":"favicon_emerald_leaf",
"prompt":_BP+"favicon 256x256 square app icon, emerald green background, white geometric cannabis leaf icon, rounded square, minimal","width":256,"height":256,"steps":30},
{"id":"p1_fv_02","phase":"phase1_logos","subfolder":"favicon","name":"favicon_dark_circuit",
"prompt":_BP+"favicon dark charcoal square, emerald circuit-leaf icon, 256x256 app icon, sharp corners, professional SaaS favicon","width":256,"height":256,"steps":30},
{"id":"p1_fv_03","phase":"phase1_logos","subfolder":"favicon","name":"favicon_white_green",
"prompt":_BP+"favicon white background, deep green CM monogram leaf icon, 256x256 square, minimal browser favicon","width":256,"height":256,"steps":30},
{"id":"p1_fv_04","phase":"phase1_logos","subfolder":"favicon","name":"favicon_gold_dark",
"prompt":_BP+"favicon dark background, gold amber cannabis management icon mark, 256x256 premium app icon, warm gold on charcoal","width":256,"height":256,"steps":30},
{"id":"p1_fv_05","phase":"phase1_logos","subfolder":"favicon","name":"favicon_gradient_green",
"prompt":_BP+"favicon forest to emerald gradient background, white geometric icon, 256x256 square, modern SaaS app icon with gradient","width":256,"height":256,"steps":30},
{"id":"p1_fv_06","phase":"phase1_logos","subfolder":"favicon","name":"favicon_outline_style",
"prompt":_BP+"favicon white background, outline-only emerald cannabis leaf circuit icon, thin line illustration, 256x256, minimalist","width":256,"height":256,"steps":30},
{"id":"p1_fv_07","phase":"phase1_logos","subfolder":"favicon","name":"favicon_rounded_modern",
"prompt":_BP+"iOS-style rounded square app icon, emerald gradient background, white leaf-tech brand mark, 256x256, premium mobile app icon","width":256,"height":256,"steps":30},
{"id":"p1_fv_08","phase":"phase1_logos","subfolder":"favicon","name":"favicon_badge_style",
"prompt":_BP+"badge-style icon with thin border ring, emerald center with white CM letters, 256x256 square, compliance software favicon","width":256,"height":256,"steps":30},
# ============================================================
# PHASE 2 — Banner Suite (50 assets)
# ============================================================
# Hero Website Banners (1920×1080)
{"id":"p2_hw_01","phase":"phase2_banners","subfolder":"hero_website","name":"hero_dashboard_showcase",
"prompt":_BP+"website hero banner 1920x1080, dark charcoal background, emerald UI dashboard mockup floating right, bold headline area left, gold accent lines, enterprise software marketing","width":1280,"height":720,"steps":30},
{"id":"p2_hw_02","phase":"phase2_banners","subfolder":"hero_website","name":"hero_compliance_trust",
"prompt":_BP+"website hero banner 1920x1080, compliance and trust theme, deep green gradient, shield and checkmark iconography, cannabis regulatory compliance, white text area, subtle geometric pattern overlay","width":1280,"height":720,"steps":30},
{"id":"p2_hw_03","phase":"phase2_banners","subfolder":"hero_website","name":"hero_analytics_data",
"prompt":_BP+"website hero banner 1920x1080, analytics theme, dark background, glowing data visualization charts in emerald and gold, business metrics, abstract data flowing design","width":1280,"height":720,"steps":30},
{"id":"p2_hw_04","phase":"phase2_banners","subfolder":"hero_website","name":"hero_team_enterprise",
"prompt":_BP+"website hero banner 1920x1080, enterprise team theme, split design emerald left panel white right panel, diagonal split, geometric accents, SaaS marketing","width":1280,"height":720,"steps":30},
{"id":"p2_hw_05","phase":"phase2_banners","subfolder":"hero_website","name":"hero_nature_tech",
"prompt":_BP+"website hero banner 1920x1080, nature meets technology, abstract cannabis plant growing from circuit board, emerald organic forms with gold tech circuit lines, dark sophisticated background","width":1280,"height":720,"steps":30},
# LinkedIn Banners (1584×396)
{"id":"p2_li_01","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_corporate_green",
"prompt":_BP+"LinkedIn company banner, deep emerald background, white wordmark centered, cannabis business management tagline, clean minimal corporate header","width":1584,"height":396,"steps":30},
{"id":"p2_li_02","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_dark_gold",
"prompt":_BP+"LinkedIn banner, dark charcoal background, gold accent stripe bottom, company name descriptor, professional enterprise header","width":1584,"height":396,"steps":30},
{"id":"p2_li_03","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_pattern_overlay",
"prompt":_BP+"LinkedIn banner, emerald base, subtle hexagonal cannabis molecule pattern overlay, semi-transparent, company branding prominent, wide horizontal header","width":1584,"height":396,"steps":30},
{"id":"p2_li_04","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_split_design",
"prompt":_BP+"LinkedIn banner, split design left dark right emerald, diagonal split line, cannabis management platform branding, clean sharp design","width":1584,"height":396,"steps":30},
{"id":"p2_li_05","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_metrics_banner",
"prompt":_BP+"LinkedIn banner showing key business metrics and KPI numbers, data-forward, emerald with gold numbers, analytics platform positioning","width":1584,"height":396,"steps":30},
{"id":"p2_li_06","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_gradient_minimal",
"prompt":_BP+"LinkedIn banner, forest green to emerald gradient, minimal white brand name and tagline only, ultra-clean professional header","width":1584,"height":396,"steps":30},
# Twitter/X Headers (1500×500)
{"id":"p2_tw_01","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_bold_emerald",
"prompt":_BP+"Twitter X header banner 1500x500, bold emerald full bleed background, large white brand name, cannabis management tagline, strong social media presence","width":1500,"height":500,"steps":30},
{"id":"p2_tw_02","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_dark_pattern",
"prompt":_BP+"Twitter header 1500x500, dark charcoal with subtle cannabis geometric pattern, emerald and gold accents, professional SaaS brand social header","width":1500,"height":500,"steps":30},
{"id":"p2_tw_03","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_product_hint",
"prompt":_BP+"Twitter header 1500x500, dark background with glimpse of dashboard interface, cannabis management software preview, professional tech company header","width":1500,"height":500,"steps":30},
{"id":"p2_tw_04","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_nature_abstract",
"prompt":_BP+"Twitter header 1500x500, abstract cannabis plant growing into data streams, green to dark gradient, artistic organic meets digital aesthetic","width":1500,"height":500,"steps":30},
{"id":"p2_tw_05","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_community",
"prompt":_BP+"Twitter header 1500x500, cannabis business community theme, connected nodes network in emerald green, SaaS platform connecting businesses","width":1500,"height":500,"steps":30},
{"id":"p2_tw_06","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_white_clean",
"prompt":_BP+"Twitter header 1500x500, clean white background, emerald brand elements only, ultra-professional minimal social media header","width":1500,"height":500,"steps":30},
# Facebook Covers (820×312)
{"id":"p2_fb_01","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_primary_brand",
"prompt":_BP+"Facebook cover photo 820x312, primary brand colors emerald and charcoal, professional cannabis business company cover, centered branding","width":820,"height":312,"steps":30},
{"id":"p2_fb_02","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_dark_professional",
"prompt":_BP+"Facebook cover 820x312, dark sophisticated background, white and gold brand elements, enterprise platform premium cover","width":820,"height":312,"steps":30},
{"id":"p2_fb_03","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_compliance_theme",
"prompt":_BP+"Facebook cover 820x312, cannabis regulatory compliance theme, shield and verification iconography, emerald professional company cover","width":820,"height":312,"steps":30},
{"id":"p2_fb_04","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_product_launch",
"prompt":_BP+"Facebook cover 820x312, product launch announcement style, bold emerald with gold accents, exciting software release visual, dynamic tech company cover","width":820,"height":312,"steps":30},
{"id":"p2_fb_05","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_industry_leader",
"prompt":_BP+"Facebook cover 820x312, industry leadership positioning, cannabis business management market leader visual, professional authoritative design, emerald and gold","width":820,"height":312,"steps":30},
{"id":"p2_fb_06","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_seasonal_spring",
"prompt":_BP+"Facebook cover 820x312, spring fresh brand refresh, bright emerald with sage green organic elements, cannabis growth season theme, professional seasonal cover","width":820,"height":312,"steps":30},
# Google Display Ads (16 assets - 4 concepts × 4 sizes)
{"id":"p2_ga_01a","phase":"phase2_banners","subfolder":"google_display","name":"gad_compliance_728x90",
"prompt":_BP+"Google display ad leaderboard 728x90, simplify cannabis compliance theme, emerald green button, white background, professional B2B ad CTA","width":728,"height":90,"steps":30},
{"id":"p2_ga_01b","phase":"phase2_banners","subfolder":"google_display","name":"gad_compliance_300x250",
"prompt":_BP+"Google display ad medium rectangle 300x250, simplify cannabis compliance theme, emerald green design, bold headline, professional SaaS ad creative","width":300,"height":250,"steps":30},
{"id":"p2_ga_01c","phase":"phase2_banners","subfolder":"google_display","name":"gad_compliance_160x600",
"prompt":_BP+"Google display ad wide skyscraper 160x600, simplify cannabis compliance theme, tall vertical format, emerald green, professional B2B ad","width":160,"height":600,"steps":30},
{"id":"p2_ga_01d","phase":"phase2_banners","subfolder":"google_display","name":"gad_compliance_320x50",
"prompt":_BP+"Google display ad mobile banner 320x50, simplify compliance theme, minimal mobile ad, emerald green, cannabis management SaaS","width":320,"height":50,"steps":30},
{"id":"p2_ga_02a","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_728x90",
"prompt":_BP+"Google display ad 728x90, manage everything cannabis business theme, dashboard preview hint, dark charcoal professional leaderboard banner","width":728,"height":90,"steps":30},
{"id":"p2_ga_02b","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_300x250",
"prompt":_BP+"Google display ad 300x250, manage everything cannabis operations theme, product dashboard glimpse, emerald dark professional rectangle ad","width":300,"height":250,"steps":30},
{"id":"p2_ga_02c","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_160x600",
"prompt":_BP+"Google display skyscraper 160x600, manage cannabis business operations theme, vertical product feature list visual, emerald professional tall ad","width":160,"height":600,"steps":30},
{"id":"p2_ga_02d","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_320x50",
"prompt":_BP+"mobile banner 320x50, manage cannabis business theme, ultra-minimal mobile ad strip, brand colors","width":320,"height":50,"steps":30},
{"id":"p2_ga_03a","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_728x90",
"prompt":_BP+"Google ad 728x90, grow your cannabis business theme, upward growth arrow with cannabis leaf, gold and emerald, professional B2B leaderboard","width":728,"height":90,"steps":30},
{"id":"p2_ga_03b","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_300x250",
"prompt":_BP+"Google ad 300x250, cannabis business growth theme, ascending graph with emerald plant growth visual, professional SaaS rectangle ad","width":300,"height":250,"steps":30},
{"id":"p2_ga_03c","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_160x600",
"prompt":_BP+"skyscraper ad 160x600, cannabis business growth vertical story, plant growing upward through data visualization, emerald tall display ad","width":160,"height":600,"steps":30},
{"id":"p2_ga_03d","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_320x50",
"prompt":_BP+"mobile ad 320x50, grow cannabis business, minimal mobile strip ad emerald green","width":320,"height":50,"steps":30},
{"id":"p2_ga_04a","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_728x90",
"prompt":_BP+"Google ad 728x90, free trial call to action, bold gold CTA button, emerald professional leaderboard, cannabis management SaaS trial offer","width":728,"height":90,"steps":30},
{"id":"p2_ga_04b","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_300x250",
"prompt":_BP+"Google ad 300x250, free trial offer, gold button emerald design, cannabis management platform trial CTA rectangle ad","width":300,"height":250,"steps":30},
{"id":"p2_ga_04c","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_160x600",
"prompt":_BP+"skyscraper ad 160x600, free trial CTA vertical ad, gold call to action button, emerald SaaS platform","width":160,"height":600,"steps":30},
{"id":"p2_ga_04d","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_320x50",
"prompt":_BP+"mobile ad 320x50, free trial minimal mobile strip, gold CTA emerald brand","width":320,"height":50,"steps":30},
# App Store Feature Graphics (1024×500)
{"id":"p2_as_01","phase":"phase2_banners","subfolder":"app_store","name":"appstore_hero_dashboard",
"prompt":_BP+"app store feature graphic 1024x500, cannabis management app showcase, dark background with app dashboard UI preview, emerald interface elements, professional mobile app store hero","width":1024,"height":500,"steps":30},
{"id":"p2_as_02","phase":"phase2_banners","subfolder":"app_store","name":"appstore_compliance_features",
"prompt":_BP+"app store feature graphic 1024x500, compliance and legal features highlight, shield icons and checkmarks, emerald professional, cannabis compliance app feature graphic","width":1024,"height":500,"steps":30},
{"id":"p2_as_03","phase":"phase2_banners","subfolder":"app_store","name":"appstore_analytics_focus",
"prompt":_BP+"app store feature graphic 1024x500, business analytics and reporting feature, dashboard charts preview, gold and emerald data visualization, cannabis business intelligence app","width":1024,"height":500,"steps":30},
{"id":"p2_as_04","phase":"phase2_banners","subfolder":"app_store","name":"appstore_team_management",
"prompt":_BP+"app store feature graphic 1024x500, team and staff management, connected team nodes visualization, emerald professional, cannabis dispensary team management app","width":1024,"height":500,"steps":30},
# Email Header Banners (600×200)
{"id":"p2_em_01","phase":"phase2_banners","subfolder":"email_header","name":"email_primary_brand",
"prompt":_BP+"email header banner 600x200, primary brand header for newsletters, emerald with white logo area, professional email marketing header","width":600,"height":200,"steps":30},
{"id":"p2_em_02","phase":"phase2_banners","subfolder":"email_header","name":"email_welcome",
"prompt":_BP+"welcome email header 600x200, warm welcome theme, emerald and sage gradient, onboarding email banner, new user email header","width":600,"height":200,"steps":30},
{"id":"p2_em_03","phase":"phase2_banners","subfolder":"email_header","name":"email_product_update",
"prompt":_BP+"product update email header 600x200, new features announcement, gold accent notification style, software update email banner","width":600,"height":200,"steps":30},
{"id":"p2_em_04","phase":"phase2_banners","subfolder":"email_header","name":"email_compliance_alert",
"prompt":_BP+"compliance alert email header 600x200, urgent notification theme, amber gold accent on dark, cannabis regulatory update email header, professional alert banner","width":600,"height":200,"steps":30},
{"id":"p2_em_05","phase":"phase2_banners","subfolder":"email_header","name":"email_monthly_report",
"prompt":_BP+"monthly report email header 600x200, data and analytics theme, charts and metrics preview, emerald professional, cannabis business monthly summary","width":600,"height":200,"steps":30},
{"id":"p2_em_06","phase":"phase2_banners","subfolder":"email_header","name":"email_trial_ending",
"prompt":_BP+"trial ending email header 600x200, urgency CTA theme, gold highlight on dark, platform trial expiry email banner, convert to paid","width":600,"height":200,"steps":30},
{"id":"p2_em_07","phase":"phase2_banners","subfolder":"email_header","name":"email_invoice",
"prompt":_BP+"invoice and billing email header 600x200, clean minimal professional, white and emerald, SaaS billing email header, enterprise professional","width":600,"height":200,"steps":30},
{"id":"p2_em_08","phase":"phase2_banners","subfolder":"email_header","name":"email_dark_premium",
"prompt":_BP+"dark premium email header 600x200, dark charcoal with gold and emerald accents, VIP or enterprise tier email, cannabis management premium header","width":600,"height":200,"steps":30},
# ============================================================
# PHASE 3 — Social Media Asset Pack (60 assets)
# ============================================================
# Instagram Square Posts (1080×1080)
{"id":"p3_ig_01","phase":"phase3_social","subfolder":"instagram_square","name":"insta_inventory_mgmt",
"prompt":_BP+"Instagram post 1080x1080, inventory management feature highlight, cannabis stock tracking dashboard visualization, emerald UI elements, bold feature announcement, clean white and dark design","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_02","phase":"phase3_social","subfolder":"instagram_square","name":"insta_compliance_track",
"prompt":_BP+"Instagram post 1080x1080, compliance tracking feature, regulatory checklist visualization, shield and checkmark icons, emerald and gold, cannabis compliance SaaS post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_03","phase":"phase3_social","subfolder":"instagram_square","name":"insta_analytics_dash",
"prompt":_BP+"Instagram post 1080x1080, analytics dashboard feature, business intelligence data visualization, emerald charts on dark background, cannabis business analytics","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_04","phase":"phase3_social","subfolder":"instagram_square","name":"insta_staff_scheduling",
"prompt":_BP+"Instagram post 1080x1080, staff scheduling feature, team calendar and shift management visualization, cannabis dispensary staff management, clean emerald post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_05","phase":"phase3_social","subfolder":"instagram_square","name":"insta_pos_integration",
"prompt":_BP+"Instagram post 1080x1080, POS system integration feature, cannabis point-of-sale connection visualization, integration nodes and arrows, emerald and gold tech post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_06","phase":"phase3_social","subfolder":"instagram_square","name":"insta_reporting",
"prompt":_BP+"Instagram post 1080x1080, automated reporting feature, beautiful report document preview, emerald professional document visualization post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_07","phase":"phase3_social","subfolder":"instagram_square","name":"insta_multi_location",
"prompt":_BP+"Instagram post 1080x1080, multi-location management feature, cannabis dispensary chain management, location pins on map with connecting emerald lines","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_08","phase":"phase3_social","subfolder":"instagram_square","name":"insta_mobile_app",
"prompt":_BP+"Instagram post 1080x1080, mobile app feature highlight, iPhone and Android app preview mockup, cannabis management on-the-go, emerald app UI post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_09","phase":"phase3_social","subfolder":"instagram_square","name":"insta_security",
"prompt":_BP+"Instagram post 1080x1080, enterprise security feature, data protection and encryption visualization, shield with lock icon, dark professional emerald security post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_10","phase":"phase3_social","subfolder":"instagram_square","name":"insta_brand_story",
"prompt":_BP+"Instagram brand story post 1080x1080, company mission, cannabis industry empowerment, beautiful abstract plant and technology fusion illustration, emerald and gold, inspiring brand post","width":1024,"height":1024,"steps":30},
# Instagram Stories (1080×1920)
{"id":"p3_st_01","phase":"phase3_social","subfolder":"instagram_story","name":"story_onboarding",
"prompt":_BP+"Instagram story 1080x1920, onboarding tutorial slide, step-by-step platform setup, emerald vertical mobile design, swipe up CTA, professional SaaS story","width":720,"height":1280,"steps":30},
{"id":"p3_st_02","phase":"phase3_social","subfolder":"instagram_story","name":"story_feature_announce",
"prompt":_BP+"Instagram story 1080x1920, new feature announcement, bold emerald vertical design, software update story, gold accent highlight, tap to learn more CTA","width":720,"height":1280,"steps":30},
{"id":"p3_st_03","phase":"phase3_social","subfolder":"instagram_story","name":"story_stat_highlight",
"prompt":_BP+"Instagram story 1080x1920, industry statistic highlight, large bold number, dark background gold number emerald accent, data-driven story template","width":720,"height":1280,"steps":30},
{"id":"p3_st_04","phase":"phase3_social","subfolder":"instagram_story","name":"story_customer_quote",
"prompt":_BP+"Instagram story 1080x1920, customer testimonial quote, elegant quote typography on emerald background, cannabis business owner testimonial, premium brand story","width":720,"height":1280,"steps":30},
{"id":"p3_st_05","phase":"phase3_social","subfolder":"instagram_story","name":"story_poll_template",
"prompt":_BP+"Instagram story 1080x1920, interactive poll template, cannabis industry question visual, dark professional background, poll options styled in emerald and gold","width":720,"height":1280,"steps":30},
{"id":"p3_st_06","phase":"phase3_social","subfolder":"instagram_story","name":"story_countdown",
"prompt":_BP+"Instagram story 1080x1920, countdown timer event template, launch deadline visual, bold dramatic dark background with gold countdown element","width":720,"height":1280,"steps":30},
{"id":"p3_st_07","phase":"phase3_social","subfolder":"instagram_story","name":"story_tips_series",
"prompt":_BP+"Instagram story 1080x1920, cannabis compliance tip of the day template, bright educational story, numbered tip format, sage green professional guidance","width":720,"height":1280,"steps":30},
{"id":"p3_st_08","phase":"phase3_social","subfolder":"instagram_story","name":"story_free_trial",
"prompt":_BP+"Instagram story 1080x1920, free trial CTA story, bold gold call to action on dark emerald, cannabis management platform sign up, strong conversion design","width":720,"height":1280,"steps":30},
# LinkedIn Post Graphics (1200×627)
{"id":"p3_lp_01","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_thought_leader",
"prompt":_BP+"LinkedIn post graphic 1200x627, thought leadership article header, cannabis industry insights, professional editorial design, emerald brand with white content area","width":1200,"height":627,"steps":30},
{"id":"p3_lp_02","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_product_demo",
"prompt":_BP+"LinkedIn post 1200x627, product demo announcement, screenshot preview teaser, cannabis management platform demo invitation, emerald professional post","width":1200,"height":627,"steps":30},
{"id":"p3_lp_03","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_hiring",
"prompt":_BP+"LinkedIn hiring post 1200x627, we are hiring banner, team growth announcement, professional cannabis tech company hiring graphic, emerald and gold, company culture","width":1200,"height":627,"steps":30},
{"id":"p3_lp_04","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_industry_stat",
"prompt":_BP+"LinkedIn post 1200x627, cannabis industry statistic infographic, large bold number, professional B2B data post, emerald green","width":1200,"height":627,"steps":30},
{"id":"p3_lp_05","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_partnership",
"prompt":_BP+"LinkedIn partnership announcement 1200x627, strategic partnership visual, cannabis tech ecosystem, professional announcement graphic emerald","width":1200,"height":627,"steps":30},
{"id":"p3_lp_06","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_webinar",
"prompt":_BP+"LinkedIn webinar promotion post 1200x627, cannabis compliance webinar announcement, date and topic visual, professional event promotion, emerald dark design","width":1200,"height":627,"steps":30},
{"id":"p3_lp_07","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_case_study",
"prompt":_BP+"LinkedIn case study post 1200x627, customer success story preview, cannabis dispensary success metrics, gold numbers on dark, professional B2B case study promotional","width":1200,"height":627,"steps":30},
{"id":"p3_lp_08","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_award",
"prompt":_BP+"LinkedIn award announcement post 1200x627, award or recognition, gold trophy badge element, cannabis tech industry recognition, celebratory professional post","width":1200,"height":627,"steps":30},
# Feature Announcement Cards (1080×1080)
{"id":"p3_fc_01","phase":"phase3_social","subfolder":"feature_cards","name":"feature_inventory_scan",
"prompt":_BP+"feature card 1080x1080, barcode scanning inventory management, cannabis product scan interface, mobile scanning visualization, emerald UI feature card","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_02","phase":"phase3_social","subfolder":"feature_cards","name":"feature_auto_compliance",
"prompt":_BP+"feature card 1080x1080, automated compliance reporting, automation icon with compliance checklist, cannabis regulatory automation, emerald professional feature announcement","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_03","phase":"phase3_social","subfolder":"feature_cards","name":"feature_real_time_alerts",
"prompt":_BP+"feature card 1080x1080, real-time alerts and notifications, bell notification with cannabis threshold alerts, gold alert accent on dark, compliance notification feature","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_04","phase":"phase3_social","subfolder":"feature_cards","name":"feature_member_portal",
"prompt":_BP+"feature card 1080x1080, member self-service portal, cannabis club member login interface, clean emerald member management, user portal visualization","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_05","phase":"phase3_social","subfolder":"feature_cards","name":"feature_api_integrations",
"prompt":_BP+"feature card 1080x1080, API integrations ecosystem, connected software logos with hub, cannabis tech stack integration visualization, emerald connection diagram","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_06","phase":"phase3_social","subfolder":"feature_cards","name":"feature_batch_tracking",
"prompt":_BP+"feature card 1080x1080, batch and lot tracking, cannabis product chain of custody visualization, numbered batch tracking flow, compliance feature card","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_07","phase":"phase3_social","subfolder":"feature_cards","name":"feature_document_mgmt",
"prompt":_BP+"feature card 1080x1080, document management system, cannabis licensing and permit documents organized, folder icons in emerald, digital document management","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_08","phase":"phase3_social","subfolder":"feature_cards","name":"feature_role_permissions",
"prompt":_BP+"feature card 1080x1080, role-based permissions feature, user role hierarchy visualization, shield with user silhouettes, cannabis team access control, dark professional","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_09","phase":"phase3_social","subfolder":"feature_cards","name":"feature_export_reports",
"prompt":_BP+"feature card 1080x1080, one-click export and reporting, PDF report generation from cannabis data, download arrow with report preview, emerald feature card","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_10","phase":"phase3_social","subfolder":"feature_cards","name":"feature_audit_trail",
"prompt":_BP+"feature card 1080x1080, complete audit trail, cannabis transaction history timeline, chronological log entries, compliance audit visualization, professional dark card","width":1024,"height":1024,"steps":30},
# Testimonial Cards (1080×1080)
{"id":"p3_tc_01","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_dark_elegant",
"prompt":_BP+"testimonial card 1080x1080, dark charcoal elegant quote card, gold quotation marks, customer name and title, cannabis business owner testimonial, premium design","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_02","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_emerald_bold",
"prompt":_BP+"testimonial card 1080x1080, bold emerald background, white quote text, customer review of cannabis management SaaS, bold confident design","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_03","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_light_minimal",
"prompt":_BP+"testimonial card 1080x1080, light white minimal quote card, emerald accent line, clean professional customer testimonial, minimal elegant design","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_04","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_star_rating",
"prompt":_BP+"testimonial card 1080x1080, 5-star rating testimonial, gold stars prominently displayed, customer quote below, cannabis management platform review","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_05","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_split_design",
"prompt":_BP+"testimonial card 1080x1080, split design half dark half emerald, quote on dark side, customer info on emerald side, cannabis SaaS testimonial","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_06","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_gradient",
"prompt":_BP+"testimonial card 1080x1080, forest to emerald gradient background, white elegant quote text, customer testimonial gradient design","width":1024,"height":1024,"steps":30},
# Stat/Data Cards (1080×1080)
{"id":"p3_sc_01","phase":"phase3_social","subfolder":"stat_cards","name":"stat_market_size",
"prompt":_BP+"stat card 1080x1080, cannabis market size statistic, large bold dollar amount, emerald gold number on dark background, cannabis industry market data","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_02","phase":"phase3_social","subfolder":"stat_cards","name":"stat_compliance_cost",
"prompt":_BP+"stat card 1080x1080, compliance cost reduction statistic, percentage savings with management software, gold percentage number, cannabis business cost savings","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_03","phase":"phase3_social","subfolder":"stat_cards","name":"stat_time_savings",
"prompt":_BP+"stat card 1080x1080, hours saved per week statistic, clock icon with bold number, cannabis dispensary operational time savings, emerald professional","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_04","phase":"phase3_social","subfolder":"stat_cards","name":"stat_dispensary_growth",
"prompt":_BP+"stat card 1080x1080, dispensary industry growth rate, upward arrow with percentage growth, cannabis retail market growth stat, gold growth number on dark","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_05","phase":"phase3_social","subfolder":"stat_cards","name":"stat_compliance_fines",
"prompt":_BP+"stat card 1080x1080, compliance violation fine amounts, cannabis regulatory penalty warning stat, amber warning colors, avoid fines messaging","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_06","phase":"phase3_social","subfolder":"stat_cards","name":"stat_customer_count",
"prompt":_BP+"stat card 1080x1080, number of cannabis businesses managed, large customer count statistic, emerald green social proof data card, platform traction metric","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_07","phase":"phase3_social","subfolder":"stat_cards","name":"stat_roi_metric",
"prompt":_BP+"stat card 1080x1080, ROI return on investment metric for cannabis management software, large gold ROI percentage, business value data card","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_08","phase":"phase3_social","subfolder":"stat_cards","name":"stat_legal_markets",
"prompt":_BP+"stat card 1080x1080, number of legal cannabis markets worldwide, globe icon with country count, cannabis legalization data, emerald global market stat","width":1024,"height":1024,"steps":30},
# ============================================================
# PHASE 4 — UI & Product Assets (32 assets)
# ============================================================
# App Icons (1024×1024)
{"id":"p4_ai_01","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_ios_emerald",
"prompt":_BP+"iOS app icon 1024x1024, Apple iOS style rounded square, emerald gradient background, white cannabis leaf tech icon mark, premium mobile app icon, App Store quality","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_02","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_ios_dark",
"prompt":_BP+"iOS app icon 1024x1024, dark mode iOS icon, dark charcoal with emerald and gold brand mark, premium dark app icon, cannabis management mobile app","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_03","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_ios_gold",
"prompt":_BP+"iOS app icon 1024x1024, premium gold accent, deep green background with gold leaf circuit brand mark, luxury cannabis management app icon","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_04","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_android_material",
"prompt":_BP+"Android app icon 1024x1024, Material Design 3 style adaptive icon, emerald with white icon, Google Play Store quality, cannabis management Android app","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_05","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_android_dark",
"prompt":_BP+"Android dark mode app icon 1024x1024, dark adaptive icon, emerald outline on near-black, Material You dark theme, cannabis management app","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_06","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_gradient_modern",
"prompt":_BP+"app icon 1024x1024, modern gradient icon, forest green to bright emerald gradient background, white geometric cannabis tech mark, contemporary design","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_07","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_flat_clean",
"prompt":_BP+"app icon 1024x1024, flat design icon, solid emerald no gradient, white minimal icon mark, flat design philosophy, simple clean cannabis management","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_08","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_neumorphic",
"prompt":_BP+"app icon 1024x1024, neumorphic soft UI style, light sage green background with embossed cannabis leaf icon, subtle shadows, premium modern icon design","width":1024,"height":1024,"steps":30},
# Device Mockups
{"id":"p4_dm_01","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_macbook",
"prompt":_BP+"dashboard shown on MacBook Pro mockup, professional product marketing, cannabis management SaaS on Apple laptop, emerald UI on screen, clean white studio background","width":1024,"height":640,"steps":30},
{"id":"p4_dm_02","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_ipad",
"prompt":_BP+"dashboard on iPad Pro mockup, cannabis management tablet interface, emerald UI on Apple iPad, clean marketing product shot, white background","width":1024,"height":768,"steps":30},
{"id":"p4_dm_03","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_iphone",
"prompt":_BP+"mobile app on iPhone mockup, cannabis management mobile interface, emerald green mobile UI, clean product marketing shot, white background","width":390,"height":844,"steps":30},
{"id":"p4_dm_04","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_desktop_monitor",
"prompt":_BP+"dashboard on large desktop monitor mockup, cannabis management enterprise software on wide screen, dark UI visible, professional product marketing display","width":1280,"height":720,"steps":30},
{"id":"p4_dm_05","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_android_phone",
"prompt":_BP+"mobile app on Android phone mockup, cannabis management Android interface, Material Design emerald UI, product marketing shot white background","width":390,"height":844,"steps":30},
# Onboarding Illustrations (800×600)
{"id":"p4_ob_01","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_inventory",
"prompt":_BP+"onboarding illustration 800x600, inventory management scene, cannabis product shelves with digital inventory overlay, flat illustration style, emerald and sage green","width":800,"height":600,"steps":30},
{"id":"p4_ob_02","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_compliance",
"prompt":_BP+"onboarding illustration 800x600, compliance tracking scene, person reviewing cannabis regulatory documents with digital checklist, confident professional flat illustration","width":800,"height":600,"steps":30},
{"id":"p4_ob_03","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_analytics",
"prompt":_BP+"onboarding illustration 800x600, analytics and reporting scene, business person analyzing cannabis sales charts, dashboard visualization, emerald data visualization flat","width":800,"height":600,"steps":30},
{"id":"p4_ob_04","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_staff",
"prompt":_BP+"onboarding illustration 800x600, staff scheduling scene, team members with shift calendar, cannabis dispensary team management, professional flat art emerald","width":800,"height":600,"steps":30},
{"id":"p4_ob_05","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_pos",
"prompt":_BP+"onboarding illustration 800x600, POS integration scene, cannabis point of sale system connected to management platform, tech integration flat illustration, emerald","width":800,"height":600,"steps":30},
{"id":"p4_ob_06","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_reporting",
"prompt":_BP+"onboarding illustration 800x600, automated reporting scene, report documents generating automatically, magic automation illustration, emerald gold professional flat art","width":800,"height":600,"steps":30},
# Empty States (600×400)
{"id":"p4_es_01","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_data",
"prompt":_BP+"empty state illustration 600x400, no data yet, friendly cannabis leaf with empty chart, get started messaging, emerald minimal SaaS illustration","width":600,"height":400,"steps":30},
{"id":"p4_es_02","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_results",
"prompt":_BP+"empty state illustration 600x400, no search results found, magnifying glass with cannabis leaf, friendly empty state, emerald minimal","width":600,"height":400,"steps":30},
{"id":"p4_es_03","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_alerts",
"prompt":_BP+"empty state illustration 600x400, no compliance alerts, happy shield with checkmark, all clear illustration, cannabis compliance all good state, emerald positive","width":600,"height":400,"steps":30},
{"id":"p4_es_04","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_members",
"prompt":_BP+"empty state illustration 600x400, no members added yet, friendly people silhouettes with plus icon, cannabis club member management, emerald add members","width":600,"height":400,"steps":30},
{"id":"p4_es_05","phase":"phase4_ui","subfolder":"empty_states","name":"empty_loading_data",
"prompt":_BP+"empty state illustration 600x400, loading and processing data, gentle spinner with cannabis leaf, patient loading state, emerald animated-style still illustration","width":600,"height":400,"steps":30},
{"id":"p4_es_06","phase":"phase4_ui","subfolder":"empty_states","name":"empty_offline",
"prompt":_BP+"empty state illustration 600x400, offline or connection error, disconnected wifi with cannabis leaf, friendly error state, amber warning on emerald","width":600,"height":400,"steps":30},
# Splash/Loading Screens (1080×1920)
{"id":"p4_sp_01","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_primary",
"prompt":_BP+"splash screen 1080x1920, app loading screen, dark charcoal background, large centered brand logo mark, subtle emerald glow effect, premium app loading screen","width":720,"height":1280,"steps":30},
{"id":"p4_sp_02","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_emerald",
"prompt":_BP+"splash screen 1080x1920, emerald background, white logo centered, minimal loading indicator, cannabis management app splash, clean brand loading screen","width":720,"height":1280,"steps":30},
{"id":"p4_sp_03","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_animated_hint",
"prompt":_BP+"splash screen 1080x1920, animated concept, cannabis leaf particles converging into logo mark, dark background with emerald particles, dynamic loading screen first frame","width":720,"height":1280,"steps":30},
{"id":"p4_sp_04","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_gradient",
"prompt":_BP+"splash screen 1080x1920, dramatic dark to emerald gradient background, white brand mark, premium loading experience, cannabis SaaS gradient splash","width":720,"height":1280,"steps":30},
# ============================================================
# PHASE 5 — Brand Collateral (38 assets)
# ============================================================
# Business Cards (900×504)
{"id":"p5_bc_01f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_modern_front",
"prompt":_BP+"business card front 900x504, modern minimal style, emerald left accent panel, white main area, name and title placeholder, cannabis management SaaS company card, premium print","width":900,"height":504,"steps":30},
{"id":"p5_bc_01b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_modern_back",
"prompt":_BP+"business card back 900x504, modern minimal style, full emerald back with white logo centered, website and tagline, cannabis management SaaS card back","width":900,"height":504,"steps":30},
{"id":"p5_bc_02f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_dark_front",
"prompt":_BP+"business card front 900x504, dark luxury style, dark charcoal background, gold foil accent logo, premium cannabis management company card, executive tier","width":900,"height":504,"steps":30},
{"id":"p5_bc_02b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_dark_back",
"prompt":_BP+"business card back 900x504, dark luxury style, full dark charcoal, gold logo and emerald accent, premium back of card","width":900,"height":504,"steps":30},
{"id":"p5_bc_03f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_pattern_front",
"prompt":_BP+"business card front 900x504, geometric cannabis pattern accent, white card with subtle hexagonal pattern header, professional pattern card front","width":900,"height":504,"steps":30},
{"id":"p5_bc_03b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_pattern_back",
"prompt":_BP+"business card back 900x504, cannabis geometric pattern full bleed, emerald hexagonal pattern background, white logo, pattern card back","width":900,"height":504,"steps":30},
{"id":"p5_bc_04f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_bold_front",
"prompt":_BP+"business card front 900x504, bold typographic style, large emerald brand name, clean white card, typography-forward business card","width":900,"height":504,"steps":30},
{"id":"p5_bc_04b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_bold_back",
"prompt":_BP+"business card back 900x504, bold style, split emerald and white back, contact details area, cannabis company card back bold design","width":900,"height":504,"steps":30},
# Pitch Deck Covers (1920×1080)
{"id":"p5_pd_01","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_investor_dark",
"prompt":_BP+"pitch deck cover slide 1920x1080, investor presentation, dark sophisticated background, large logo centered, funding round subtitle area, premium cannabis SaaS investor deck","width":1280,"height":720,"steps":30},
{"id":"p5_pd_02","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_growth_story",
"prompt":_BP+"pitch deck cover 1920x1080, growth story visual, ascending cannabis plant becoming data chart, emerald to gold gradient, investor-grade presentation cover","width":1280,"height":720,"steps":30},
{"id":"p5_pd_03","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_market_opp",
"prompt":_BP+"pitch deck cover 1920x1080, market opportunity theme, cannabis industry size visualization, globe with highlighted legal markets, emerald professional investor presentation","width":1280,"height":720,"steps":30},
{"id":"p5_pd_04","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_team_deck",
"prompt":_BP+"pitch deck cover 1920x1080, team presentation version, professional team imagery backdrop, cannabis tech startup team slide, emerald brand, people-forward investor deck","width":1280,"height":720,"steps":30},
{"id":"p5_pd_05","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_product_demo",
"prompt":_BP+"pitch deck cover 1920x1080, product demo deck, dashboard preview hero visual, cannabis management SaaS product tour deck, emerald UI preview","width":1280,"height":720,"steps":30},
{"id":"p5_pd_06","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_minimal_clean",
"prompt":_BP+"pitch deck cover 1920x1080, ultra-minimal clean slide, white background, large emerald brand name only, minimalist investor presentation","width":1280,"height":720,"steps":30},
# One-Pager Headers (1200×400)
{"id":"p5_op_01","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_primary",
"prompt":_BP+"one-pager header 1200x400, primary brand header, emerald full bleed, white logo and tagline, cannabis management SaaS brochure header, print quality","width":1200,"height":400,"steps":30},
{"id":"p5_op_02","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_feature_rich",
"prompt":_BP+"one-pager header 1200x400, feature-rich header, dashboard preview glimpse, cannabis management platform features introduction, professional SaaS marketing","width":1200,"height":400,"steps":30},
{"id":"p5_op_03","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_compliance",
"prompt":_BP+"one-pager header 1200x400, compliance focus version, legal and regulatory theme, cannabis compliance management, shield icons, dark professional header","width":1200,"height":400,"steps":30},
{"id":"p5_op_04","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_dark_premium",
"prompt":_BP+"one-pager header 1200x400, dark premium version, charcoal background with gold and emerald accents, enterprise tier marketing collateral header","width":1200,"height":400,"steps":30},
# Trade Show Banners (800×2000 = 33x80in proportions)
{"id":"p5_ts_01","phase":"phase5_collateral","subfolder":"trade_show","name":"tradeshow_primary_brand",
"prompt":_BP+"trade show pull-up banner tall vertical 800x2000, primary brand version, emerald top with logo, white middle with key features listed, dark bottom with CTA, cannabis management SaaS conference banner","width":512,"height":1280,"steps":30},
{"id":"p5_ts_02","phase":"phase5_collateral","subfolder":"trade_show","name":"tradeshow_product_showcase",
"prompt":_BP+"trade show banner tall vertical 800x2000, product showcase, dashboard UI hero visual, dark sophisticated background, emerald accents, cannabis management software exhibition display","width":512,"height":1280,"steps":30},
{"id":"p5_ts_03","phase":"phase5_collateral","subfolder":"trade_show","name":"tradeshow_compliance_focus",
"prompt":_BP+"trade show banner tall vertical 800x2000, compliance authority positioning, legal cannabis management expertise, professional regulatory focus, emerald and gold tall exhibition banner","width":512,"height":1280,"steps":30},
# Sticker/Swag Designs (600×600)
{"id":"p5_sk_01","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_leaf_circuit",
"prompt":_BP+"sticker design 600x600, cannabis leaf made of circuit traces, emerald on white, die-cut sticker style, fun tech cannabis brand sticker","width":600,"height":600,"steps":30},
{"id":"p5_sk_02","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_wordmark_badge",
"prompt":_BP+"sticker badge 600x600, rounded rectangle badge, emerald background, white brand text, premium brand sticker, laptop sticker style","width":600,"height":600,"steps":30},
{"id":"p5_sk_03","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_compliance_hero",
"prompt":_BP+"sticker 600x600, compliance superhero, shield with cannabis leaf and checkmark, fun illustrated sticker, emerald and gold, die-cut design","width":600,"height":600,"steps":30},
{"id":"p5_sk_04","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_data_plant",
"prompt":_BP+"fun sticker 600x600, cannabis plant growing into data chart bars, punchy colorful sticker art, emerald plant gold bars, square sticker","width":600,"height":600,"steps":30},
{"id":"p5_sk_05","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_canna_astronaut",
"prompt":_BP+"sticker 600x600, cartoon astronaut holding cannabis leaf and laptop, space tech meets cannabis, fun illustrated sticker, emerald spacesuit, brand mascot concept","width":600,"height":600,"steps":30},
{"id":"p5_sk_06","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_powered_by",
"prompt":_BP+"powered by sticker 600x600, powered by CannaManage badge, small horizontal badge sticker, emerald and white, partner sticker for cannabis businesses","width":600,"height":600,"steps":30},
{"id":"p5_sk_07","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_compliance_100",
"prompt":_BP+"sticker 600x600, 100 percent compliant badge, bold green circle with checkmark and percentage, compliance achievement sticker, cannabis business compliance badge","width":600,"height":600,"steps":30},
{"id":"p5_sk_08","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_hexagon_icon",
"prompt":_BP+"hexagon sticker 600x600, hexagonal border with cannabis circuit icon, honeycomb management brand sticker, emerald hex border gold icon, premium die-cut","width":600,"height":600,"steps":30},
{"id":"p5_sk_09","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_420_compliant",
"prompt":_BP+"funny sticker 600x600, 420 compliant badge design, playful cannabis compliance humor, professional but fun brand sticker, emerald with gold numbers","width":600,"height":600,"steps":30},
{"id":"p5_sk_10","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_manage_everything",
"prompt":_BP+"sticker 600x600, manage everything tagline, bold typography sticker, emerald background white text, punchy brand statement sticker","width":600,"height":600,"steps":30},
# Email Signature Blocks (600×150)
{"id":"p5_es_01","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_primary",
"prompt":_BP+"email signature graphic block 600x150, primary brand, horizontal logo left with tagline, emerald line divider, professional email signature banner","width":600,"height":150,"steps":30},
{"id":"p5_es_02","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_dark",
"prompt":_BP+"email signature block 600x150, dark version, charcoal background white logo emerald accent, premium email signature graphic","width":600,"height":150,"steps":30},
{"id":"p5_es_03","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_minimal",
"prompt":_BP+"email signature graphic 600x150, minimal version, just logo and website, very clean white background, ultra-minimal email signature banner","width":600,"height":150,"steps":30},
{"id":"p5_es_04","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_promo",
"prompt":_BP+"email signature promo block 600x150, promotional version with free trial CTA, gold button area, white background emerald brand, conversion CTA signature","width":600,"height":150,"steps":30},
{"id":"p5_es_05","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_social",
"prompt":_BP+"email signature block 600x150, social media icons version, small social platform icons in emerald, company signature with social links footer","width":600,"height":150,"steps":30},
# ============================================================
# PHASE 6 — Bonus / Wildcard Assets (35 assets)
# ============================================================
# Animated Banner First-Frame Stills (1200×628)
{"id":"p6_an_01","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_particle_logo",
"prompt":_BP+"animated banner first frame 1200x628, cannabis leaf particles forming logo mark mid-flight, dark background emerald particles, designed for animation, static concept frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_02","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_data_flow",
"prompt":_BP+"animated banner first frame 1200x628, data flow visualization beginning, cannabis data streams starting to form dashboard, dark background emerald data lines, animation concept first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_03","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_growth_chart",
"prompt":_BP+"animated banner still 1200x628, cannabis business growth chart animation first frame, bar chart at zero about to animate upward, gold bars on dark, growth animation concept","width":1200,"height":628,"steps":30},
{"id":"p6_an_04","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_compliance_check",
"prompt":_BP+"animated banner first frame 1200x628, compliance checklist items unchecked ready to animate with checkmarks, emerald checklist on white, compliance animation concept","width":1200,"height":628,"steps":30},
{"id":"p6_an_05","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_plant_grow",
"prompt":_BP+"animated banner still 1200x628, cannabis plant seedling about to grow into data visualization plant, dark background seed sprouting, growth animation first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_06","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_typing_headline",
"prompt":_BP+"animated banner still 1200x628, typing cursor before headline text, empty headline with blinking cursor concept, emerald CTA button below, typewriter animation first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_07","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_integration_connect",
"prompt":_BP+"animated banner still 1200x628, integration ecosystem nodes about to connect, partner logos as unconnected nodes, emerald connecting lines forming, integration animation first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_08","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_counter_stat",
"prompt":_BP+"animated banner still 1200x628, number counter animation first frame showing zero, gold large number about to count up to impressive stat, dark background, counter animation concept","width":1200,"height":628,"steps":30},
# Dark Mode vs Light Mode UI Pairs (1200×800 each = 12 total)
{"id":"p6_dm_01l","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_dashboard_light",
"prompt":_BP+"UI preview card 1200x800, light mode dashboard interface, clean white background, emerald UI elements, cannabis management SaaS light theme preview","width":1200,"height":800,"steps":40},
{"id":"p6_dm_01d","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_dashboard_dark",
"prompt":_BP+"UI preview card 1200x800, dark mode dashboard interface, dark charcoal background, emerald glowing UI elements, cannabis management SaaS dark theme preview, premium dark mode","width":1200,"height":800,"steps":40},
{"id":"p6_dm_02l","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_compliance_light",
"prompt":_BP+"UI preview 1200x800, compliance module light mode, white clean interface with compliance checklist and status indicators, emerald checkmarks, cannabis compliance UI","width":1200,"height":800,"steps":40},
{"id":"p6_dm_02d","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_compliance_dark",
"prompt":_BP+"UI preview 1200x800, compliance module dark mode, dark interface with glowing emerald compliance indicators, cannabis compliance UI dark theme, premium","width":1200,"height":800,"steps":40},
{"id":"p6_dm_03l","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_analytics_light",
"prompt":_BP+"UI preview 1200x800, analytics dashboard light mode, white background with colorful cannabis business charts, emerald and gold data visualization, light theme","width":1200,"height":800,"steps":40},
{"id":"p6_dm_03d","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_analytics_dark",
"prompt":_BP+"UI preview 1200x800, analytics dashboard dark mode, dark background with glowing emerald and gold cannabis business charts, dramatic dark mode analytics UI","width":1200,"height":800,"steps":40},
# Integration/Partnership Badges (400×200)
{"id":"p6_ib_01","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_pos_integration",
"prompt":_BP+"integration badge 400x200, integrates with POS systems badge, cannabis point-of-sale integration certification, emerald badge design, CannaManage plus POS icon, professional","width":400,"height":200,"steps":40},
{"id":"p6_ib_02","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_accounting",
"prompt":_BP+"integration badge 400x200, accounting software integration badge, cannabis financial software connection, emerald badge with accounting icon, works with your accounting tools","width":400,"height":200,"steps":40},
{"id":"p6_ib_03","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_compliance_tools",
"prompt":_BP+"integration badge 400x200, compliance tool integration badge, cannabis regulatory software connection, emerald shield badge design, integrates with compliance tools","width":400,"height":200,"steps":40},
{"id":"p6_ib_04","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_api_ready",
"prompt":_BP+"API ready badge 400x200, API first platform badge, developer integration badge, emerald and code brackets design, cannabis management API integration badge","width":400,"height":200,"steps":40},
{"id":"p6_ib_05","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_partner_certified",
"prompt":_BP+"partner certified badge 400x200, certified technology partner badge design, emerald official partner badge, cannabis management platform partner program","width":400,"height":200,"steps":40},
{"id":"p6_ib_06","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_white_label",
"prompt":_BP+"white label partner badge 400x200, white label ready platform badge, cannabis SaaS white label partner certification, professional partner badge emerald","width":400,"height":200,"steps":40},
# Trust/Award Badges (400×400)
{"id":"p6_tb_01","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_gdpr_compliant",
"prompt":_BP+"trust badge 400x400, GDPR compliant badge design, data protection certification, emerald shield with EU star circle, cannabis SaaS data privacy trust badge","width":400,"height":400,"steps":40},
{"id":"p6_tb_02","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_soc2_ready",
"prompt":_BP+"trust badge 400x400, SOC 2 ready certification badge, enterprise security trust badge, professional certification seal, dark emerald badge design","width":400,"height":400,"steps":40},
{"id":"p6_tb_03","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_uptime_guarantee",
"prompt":_BP+"trust badge 400x400, 99.9 percent uptime guarantee badge, reliability certification, gold uptime number on emerald badge, cannabis SaaS reliability trust signal","width":400,"height":400,"steps":40},
{"id":"p6_tb_04","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_industry_choice",
"prompt":_BP+"award badge 400x400, cannabis industry choice award badge design, industry recognition award seal, gold and emerald award badge","width":400,"height":400,"steps":40},
{"id":"p6_tb_05","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_money_back",
"prompt":_BP+"trust badge 400x400, 30-day money back guarantee badge, customer confidence seal, emerald circle badge with guarantee text, cannabis SaaS satisfaction badge","width":400,"height":400,"steps":40},
]
# Bump steps for quality on phases with smaller dimensions
# (Patrick's feedback: more iterations = better quality on Flux.1 Schnell)
for _a in ASSET_MANIFEST:
if _a["steps"] == 30 and _a["width"] <= 1080 and _a["height"] <= 1080:
_a["steps"] = 40
def load_progress() -> Dict[str, Any]:
"""Load resume state from .progress.json."""
if PROGRESS_FILE.exists():
try:
with open(PROGRESS_FILE) as f:
return json.load(f)
except (json.JSONDecodeError, IOError):
pass
return {"completed": [], "failed": [], "started_at": time.strftime("%Y-%m-%dT%H:%M:%S")}
def save_progress(progress: Dict[str, Any]) -> None:
"""Save progress state."""
OUTPUT_ROOT.mkdir(parents=True, exist_ok=True)
with open(PROGRESS_FILE, "w") as f:
json.dump(progress, f, indent=2)
def load_workflow(model: str) -> Dict:
"""Load the appropriate workflow JSON."""
path = WORKFLOW_HERETIC if model == "heretic" else WORKFLOW_SCHNELL
with open(path) as f:
return json.load(f)
def submit_prompt(comfyui_url: str, workflow: Dict) -> str:
"""Submit prompt to ComfyUI."""
data = json.dumps({"prompt": workflow}).encode()
req = urllib.request.Request(
f"{comfyui_url}/prompt", data=data, headers={"Content-Type": "application/json"}
)
with urllib.request.urlopen(req) as resp:
return json.loads(resp.read())["prompt_id"]
def wait_for_image(comfyui_url: str, prompt_id: str, timeout: int = 300) -> Dict | None:
"""Poll for completion."""
print(" ⏳ Waiting for ComfyUI...", end="", flush=True)
start = time.time()
while time.time() - start < timeout:
try:
with urllib.request.urlopen(f"{comfyui_url}/history/{prompt_id}") as resp:
history = json.loads(resp.read())
if prompt_id in history:
print(" done.", flush=True)
outputs = history[prompt_id].get("outputs", {})
for node_out in outputs.values():
if "images" in node_out:
return node_out["images"][0]
return None
except Exception:
pass
print(".", end="", flush=True)
time.sleep(2)
print(" timeout!", flush=True)
return None
def download_image(comfyui_url: str, image_info: Dict, output_path: Path) -> bool:
"""Download the generated image."""
try:
url = f"{comfyui_url}/view?filename={image_info['filename']}&subfolder={image_info.get('subfolder', '')}&type=output"
with urllib.request.urlopen(url) as resp:
img_data = resp.read()
output_path.write_bytes(img_data)
print(f" ✅ Saved: {output_path} ({len(img_data) // 1024}KB)")
return True
except Exception as e:
print(f" ❌ Download failed: {e}")
return False
def patch_workflow(workflow: Dict, asset: Dict, model: str) -> Dict:
"""Patch workflow with asset params using per-model node IDs."""
seed = random.randint(0, 2**32 - 1)
if model == "heretic":
# flux2_klein_heretic.json nodes: 2=pos, 3=neg, 6=latent(w/h), 7=scheduler(steps), 10=noise(seed), 13=save
workflow["2"]["inputs"]["text"] = asset["prompt"]
workflow["3"]["inputs"]["text"] = ""
workflow["6"]["inputs"]["width"] = asset["width"]
workflow["6"]["inputs"]["height"] = asset["height"]
workflow["7"]["inputs"]["steps"] = asset["steps"]
workflow["13"]["inputs"]["filename_prefix"] = asset["name"]
if "10" in workflow:
workflow["10"]["inputs"]["noise_seed"] = seed
else:
# flux_schnell.json nodes: 6=pos, 33=neg, 27=latent(w/h), 13=ksampler(steps/seed), 9=save
workflow["6"]["inputs"]["text"] = asset["prompt"]
workflow["33"]["inputs"]["text"] = ""
workflow["27"]["inputs"]["width"] = asset["width"]
workflow["27"]["inputs"]["height"] = asset["height"]
workflow["13"]["inputs"]["steps"] = asset["steps"]
workflow["13"]["inputs"]["seed"] = seed
workflow["9"]["inputs"]["filename_prefix"] = asset["name"]
return workflow
def generate_asset(comfyui_url: str, asset: Dict, model: str, progress: Dict) -> bool:
"""Generate a single asset."""
if asset["id"] in progress["completed"]:
print(f" ⏭️ Skipping completed: {asset['name']}")
return True
print(f"\n Prompt : {asset['prompt'][:80]}...")
print(f" Size : {asset['width']}×{asset['height']} Steps: {asset['steps']}")
try:
workflow = load_workflow(model)
workflow = patch_workflow(workflow, asset, model)
prompt_id = submit_prompt(comfyui_url, workflow)
image_info = wait_for_image(comfyui_url, prompt_id)
if not image_info:
progress["failed"].append(asset["id"])
save_progress(progress)
return False
output_dir = OUTPUT_ROOT / asset["phase"] / asset["subfolder"]
output_dir.mkdir(parents=True, exist_ok=True)
output_path = output_dir / f"{asset['name']}.png"
if download_image(comfyui_url, image_info, output_path):
progress["completed"].append(asset["id"])
save_progress(progress)
return True
else:
progress["failed"].append(asset["id"])
save_progress(progress)
return False
except Exception as e:
print(f" ❌ Error: {e}")
progress["failed"].append(asset["id"])
save_progress(progress)
return False
def main():
parser = argparse.ArgumentParser(description="CannaManage Brand Asset Generation Pipeline")
parser.add_argument("--dry-run", action="store_true", help="Print manifest without generating")
parser.add_argument("--phase", help="Generate only assets from this phase (e.g. phase1_logos)")
parser.add_argument("--model", choices=["schnell", "heretic"], default="schnell",
help="Model: schnell (~10-20s/img) or heretic (~52s/img, higher quality)")
parser.add_argument("--comfyui", default="http://localhost:8188", help="ComfyUI URL")
parser.add_argument("--steps", type=int, default=None,
help="Override steps for all assets (e.g. --steps 12 for higher quality)")
args = parser.parse_args()
comfyui_url = args.comfyui
# Apply global steps override if requested
manifest = ASSET_MANIFEST
if args.steps:
manifest = [{**a, "steps": args.steps} for a in manifest]
# Filter by phase if requested
to_generate = [a for a in manifest if not args.phase or a["phase"] == args.phase]
print("🚀 CannaManage Brand Asset Generation Pipeline")
print(f" Output : {OUTPUT_ROOT}")
print(f" Model : {args.model}")
print(f" ComfyUI : {comfyui_url}")
print(f" Total : {len(ASSET_MANIFEST)} assets in manifest")
print(f" Selected: {len(to_generate)} assets to generate")
if args.dry_run:
phases: Dict[str, int] = {}
for a in to_generate:
phases[a["phase"]] = phases.get(a["phase"], 0) + 1
for ph, count in phases.items():
print(f"\n {ph} ({count} assets):")
for a in to_generate:
if a["phase"] == ph:
print(f" {a['id']:14} | {a['name']:35} | {a['width']}×{a['height']} steps={a['steps']}")
total_min_est = sum(a["steps"] * 2.5 for a in to_generate) / 60
print(f"\n ⏱️ Estimated runtime (schnell): ~{total_min_est:.0f} minutes")
print("\nDry run complete. Remove --dry-run to begin generation.")
return
progress = load_progress()
remaining = [a for a in to_generate if a["id"] not in progress["completed"]]
print(f" Resume : {len(progress['completed'])} completed, {len(progress['failed'])} failed, {len(remaining)} remaining")
if not remaining:
print("\n✅ All selected assets already complete!")
return
print(f"\nStarting generation... (Ctrl+C to pause — progress is saved)")
n_done = 0
n_fail = 0
for i, asset in enumerate(to_generate, 1):
if asset["id"] in progress["completed"]:
continue
print(f"\n[{asset['phase']}] [{i}/{len(to_generate)}] {asset['name']}")
if generate_asset(comfyui_url, asset, args.model, progress):
n_done += 1
else:
n_fail += 1
print("\n" + "=" * 60)
print("🎉 PIPELINE COMPLETE")
print(f" ✅ Completed this run : {n_done}")
print(f" ❌ Failed this run : {n_fail}")
print(f" 📦 Total completed : {len(progress['completed'])} / {len(ASSET_MANIFEST)}")
if progress["failed"]:
print(f" Failed IDs: {', '.join(progress['failed'][-10:])}")
print(f" Assets saved to: {OUTPUT_ROOT}")
print("=" * 60)
if __name__ == "__main__":
main()
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#!/usr/bin/env python3
"""
ClubManage Brand Asset Generation Pipeline
Autonomous script to generate 257+ brand assets for a generic club management SaaS platform.
All images are text-free / typography-free — pure visual/icon design only.
Runs unattended, resume-safe via .progress.json.
Usage:
cd /home/pplate/pi_mcps
python mcp/mcp-image-gen/clubmanage_gen.py
python mcp/mcp-image-gen/clubmanage_gen.py --dry-run
python mcp/mcp-image-gen/clubmanage_gen.py --phase phase1_logos
python mcp/mcp-image-gen/clubmanage_gen.py --model heretic
Output: ~/Pictures/clubmanage_brand/ with organized subfolders.
"""
import argparse
import json
import random
import sys
import time
import urllib.request
from pathlib import Path
from typing import Dict, List, Any
# --- Configuration ---
OUTPUT_ROOT = Path.home() / "Pictures" / "clubmanage_brand"
PROGRESS_FILE = OUTPUT_ROOT / ".progress.json"
WORKFLOW_SCHNELL = Path(__file__).parent / "src/workflows/flux_schnell.json"
WORKFLOW_HERETIC = Path(__file__).parent / "src/workflows/flux2_klein_heretic.json"
# Brand prefix — generic club management SaaS, navy/teal palette, STRICTLY no text
_BP = ("professional B2B SaaS brand design, club management platform, "
"modern tech aesthetic, clean minimalist style, premium quality, "
"deep navy blue and teal color scheme, no text, no words, no letters, "
"no numbers, no labels, no typography, pure visual icon design, ")
# Negative prompt suffix for heretic (CFGGuider supports real negative guidance)
_NEG = "text, words, letters, numbers, labels, typography, fonts, captions, watermarks, titles, subtitles"
# --- Full Asset Manifest (257 assets across 6 phases) ---
ASSET_MANIFEST: List[Dict[str, Any]] = [
# ============================================================
# PHASE 1 — Logo Suite (42 assets)
# ============================================================
# Wordmark concept shapes — 5 directions (1024×512)
{"id":"p1_wm_01","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_modern_sans",
"prompt":_BP+"modern geometric sans-serif shaped abstract mark, deep navy #1A237E, clean white background, minimal people-group silhouette accent, high-end tech company wordmark shape, flat vector design","width":1024,"height":512,"steps":30},
{"id":"p1_wm_02","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_geometric",
"prompt":_BP+"geometric abstract wordmark shape, sharp angles, navy and teal color scheme, hexagonal grid subtle background, membership network silhouette, precision tech brand, white background","width":1024,"height":512,"steps":30},
{"id":"p1_wm_03","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_humanist",
"prompt":_BP+"humanist rounded abstract mark, warm approachable professional style, navy with teal accent, subtle community connection pattern, trustworthy modern brand shape, white background","width":1024,"height":512,"steps":30},
{"id":"p1_wm_04","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_slab_serif",
"prompt":_BP+"premium block geometric abstract mark, dark charcoal and deep navy palette, gold accent stripe, authoritative membership management brand shape, institutional trustworthiness, white background","width":1024,"height":512,"steps":30},
{"id":"p1_wm_05","phase":"phase1_logos","subfolder":"wordmark","name":"wordmark_minimal",
"prompt":_BP+"ultra-minimal thin abstract brand mark shape, single-color deep navy, negative space connected-people form, Apple-inspired premium minimalism, pure white background","width":1024,"height":512,"steps":30},
# Icon / Symbol Only — 10 variations (512×512)
{"id":"p1_ic_01","phase":"phase1_logos","subfolder":"icon_only","name":"icon_people_network",
"prompt":_BP+"abstract interconnected people silhouettes forming network club icon, navy on white, community membership platform, geometric precision, square icon format","width":512,"height":512,"steps":30},
{"id":"p1_ic_02","phase":"phase1_logos","subfolder":"icon_only","name":"icon_c_mark_abstract",
"prompt":_BP+"abstract letter-C shaped from human figures and connecting lines brand icon, geometric minimalist, deep navy gradient, community circle concept inside C curve, white background","width":512,"height":512,"steps":30},
{"id":"p1_ic_03","phase":"phase1_logos","subfolder":"icon_only","name":"icon_membership_card",
"prompt":_BP+"stylized membership card with embedded circuit-like membership ID pattern, navy and teal nodes and gold lines, professional membership management mark, dark background","width":512,"height":512,"steps":30},
{"id":"p1_ic_04","phase":"phase1_logos","subfolder":"icon_only","name":"icon_dashboard_grid",
"prompt":_BP+"abstract dashboard grid symbol icon, 3x3 grid of squares with bar chart and people silhouette overlaid, navy and gold, SaaS platform brand mark, white background","width":512,"height":512,"steps":30},
{"id":"p1_ic_05","phase":"phase1_logos","subfolder":"icon_only","name":"icon_calendar_pulse",
"prompt":_BP+"calendar grid merging with heartbeat pulse line icon, teal and navy, event scheduling and club vitality brand mark, half-event half-data, modern membership platform","width":512,"height":512,"steps":30},
{"id":"p1_ic_06","phase":"phase1_logos","subfolder":"icon_only","name":"icon_shield_people",
"prompt":_BP+"shield shape with people-group geometric pattern inside, navy shield, gold people outline, trust and membership management brand mark, premium badge style","width":512,"height":512,"steps":30},
{"id":"p1_ic_07","phase":"phase1_logos","subfolder":"icon_only","name":"icon_cm_monogram",
"prompt":_BP+"interlocked abstract C and M shapes with community negative space monogram, geometric precision, deep navy, gold accent, premium brand monogram, white background","width":512,"height":512,"steps":30},
{"id":"p1_ic_08","phase":"phase1_logos","subfolder":"icon_only","name":"icon_hexagon_community",
"prompt":_BP+"hexagon containing stylized connected people nodes formed from clean lines, navy hexagon dark outline, gold accent dot nodes at connection points, geometric membership brand mark, tech-forward minimal","width":512,"height":512,"steps":30},
{"id":"p1_ic_09","phase":"phase1_logos","subfolder":"icon_only","name":"icon_growth_chart",
"prompt":_BP+"upward growing membership curve transforming into ascending bar chart, navy to teal gradient, business growth metaphor, modern flat icon design","width":512,"height":512,"steps":30},
{"id":"p1_ic_10","phase":"phase1_logos","subfolder":"icon_only","name":"icon_infinity_community",
"prompt":_BP+"infinity loop symbol where loops form two abstract community circle shapes, navy line on white, continuous membership management cycle concept, premium SaaS logo mark","width":512,"height":512,"steps":30},
# Horizontal Lockups (1024×256)
{"id":"p1_lh_01","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_light",
"prompt":_BP+"horizontal logo lockup icon mark left shape right, light white background, deep navy, professional club management SaaS layout, pure icon shapes only","width":1024,"height":256,"steps":30},
{"id":"p1_lh_02","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_dark",
"prompt":_BP+"horizontal logo lockup icon left shape right, dark charcoal background, white and navy logo, reversed color scheme, premium brand","width":1024,"height":256,"steps":30},
{"id":"p1_lh_03","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_navy_bg",
"prompt":_BP+"horizontal logo lockup, white icon on deep navy background, horizontal icon plus abstract shape, brand banner version","width":1024,"height":256,"steps":30},
{"id":"p1_lh_04","phase":"phase1_logos","subfolder":"lockup_horizontal","name":"lockup_horiz_mono",
"prompt":_BP+"horizontal logo lockup monochrome, all black on white, horizontal icon plus abstract shape, professional print-ready version","width":1024,"height":256,"steps":30},
# Stacked Lockups (512×512)
{"id":"p1_ls_01","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_light",
"prompt":_BP+"stacked logo lockup icon centered above abstract shape, light white background, navy brand colors, square format, professional centered layout","width":512,"height":512,"steps":30},
{"id":"p1_ls_02","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_dark",
"prompt":_BP+"stacked logo lockup icon centered above shape, dark charcoal background, white and teal logo, square format, dark version","width":512,"height":512,"steps":30},
{"id":"p1_ls_03","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_navy",
"prompt":_BP+"stacked logo lockup, white icon and shape on navy background, centered square format, brand full-color version","width":512,"height":512,"steps":30},
{"id":"p1_ls_04","phase":"phase1_logos","subfolder":"lockup_stacked","name":"lockup_stacked_mono",
"prompt":_BP+"stacked logo lockup monochrome all-black on white, icon above abstract mark, square format, print-ready logo","width":512,"height":512,"steps":30},
# Favicons (256×256)
{"id":"p1_fv_01","phase":"phase1_logos","subfolder":"favicon","name":"favicon_navy_people",
"prompt":_BP+"favicon 256x256 square app icon, navy background, white geometric people-network icon, rounded square, minimal","width":256,"height":256,"steps":30},
{"id":"p1_fv_02","phase":"phase1_logos","subfolder":"favicon","name":"favicon_dark_teal",
"prompt":_BP+"favicon dark charcoal square, teal community-nodes icon, 256x256 app icon, sharp corners, professional SaaS favicon","width":256,"height":256,"steps":30},
{"id":"p1_fv_03","phase":"phase1_logos","subfolder":"favicon","name":"favicon_white_navy",
"prompt":_BP+"favicon white background, deep navy CM abstract monogram icon, 256x256 square, minimal browser favicon","width":256,"height":256,"steps":30},
{"id":"p1_fv_04","phase":"phase1_logos","subfolder":"favicon","name":"favicon_gold_dark",
"prompt":_BP+"favicon dark background, gold amber membership management icon mark, 256x256 premium app icon, warm gold on charcoal","width":256,"height":256,"steps":30},
{"id":"p1_fv_05","phase":"phase1_logos","subfolder":"favicon","name":"favicon_gradient_navy",
"prompt":_BP+"favicon midnight to navy gradient background, white geometric icon, 256x256 square, modern SaaS app icon with gradient","width":256,"height":256,"steps":30},
{"id":"p1_fv_06","phase":"phase1_logos","subfolder":"favicon","name":"favicon_outline_style",
"prompt":_BP+"favicon white background, outline-only teal community network icon, thin line illustration, 256x256, minimalist","width":256,"height":256,"steps":30},
{"id":"p1_fv_07","phase":"phase1_logos","subfolder":"favicon","name":"favicon_rounded_modern",
"prompt":_BP+"iOS-style rounded square app icon, navy gradient background, white membership brand mark, 256x256, premium mobile app icon","width":256,"height":256,"steps":30},
{"id":"p1_fv_08","phase":"phase1_logos","subfolder":"favicon","name":"favicon_badge_style",
"prompt":_BP+"badge-style icon with thin border ring, navy center with white CM abstract shape, 256x256 square, club software favicon","width":256,"height":256,"steps":30},
# ============================================================
# PHASE 2 — Banner Suite (50 assets)
# ============================================================
# Hero Website Banners (1280×720)
{"id":"p2_hw_01","phase":"phase2_banners","subfolder":"hero_website","name":"hero_dashboard_showcase",
"prompt":_BP+"website hero banner, dark charcoal background, teal UI dashboard shapes floating right, bold geometric area left, gold accent lines, enterprise software marketing visual","width":1280,"height":720,"steps":30},
{"id":"p2_hw_02","phase":"phase2_banners","subfolder":"hero_website","name":"hero_compliance_trust",
"prompt":_BP+"website hero banner, trust theme, deep navy gradient, shield and checkmark iconography, membership management, white geometric area, subtle hexagonal pattern overlay","width":1280,"height":720,"steps":30},
{"id":"p2_hw_03","phase":"phase2_banners","subfolder":"hero_website","name":"hero_analytics_data",
"prompt":_BP+"website hero banner, analytics theme, dark background, glowing data visualization charts in navy and gold, business metrics, abstract data flowing design","width":1280,"height":720,"steps":30},
{"id":"p2_hw_04","phase":"phase2_banners","subfolder":"hero_website","name":"hero_team_enterprise",
"prompt":_BP+"website hero banner, enterprise team theme, split design navy left panel white right panel, diagonal split, geometric accents, SaaS marketing visual","width":1280,"height":720,"steps":30},
{"id":"p2_hw_05","phase":"phase2_banners","subfolder":"hero_website","name":"hero_community_tech",
"prompt":_BP+"website hero banner, community meets technology, abstract people nodes growing from data grid, navy organic forms with teal circuit lines, dark sophisticated background","width":1280,"height":720,"steps":30},
# LinkedIn Banners (1584×396)
{"id":"p2_li_01","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_corporate_navy",
"prompt":_BP+"LinkedIn company banner, deep navy background, white abstract icon centered, club business management, clean minimal corporate header visual","width":1584,"height":396,"steps":30},
{"id":"p2_li_02","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_dark_gold",
"prompt":_BP+"LinkedIn banner, dark charcoal background, gold accent stripe bottom, professional enterprise header visual","width":1584,"height":396,"steps":30},
{"id":"p2_li_03","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_pattern_overlay",
"prompt":_BP+"LinkedIn banner, navy base, subtle hexagonal membership molecule pattern overlay, semi-transparent, company branding prominent, wide horizontal header","width":1584,"height":396,"steps":30},
{"id":"p2_li_04","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_split_design",
"prompt":_BP+"LinkedIn banner, split design left dark right navy, diagonal split line, club management platform branding, clean sharp design","width":1584,"height":396,"steps":30},
{"id":"p2_li_05","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_metrics_banner",
"prompt":_BP+"LinkedIn banner showing abstract business metrics visualization, data-forward icons, navy with gold shapes, analytics platform positioning","width":1584,"height":396,"steps":30},
{"id":"p2_li_06","phase":"phase2_banners","subfolder":"linkedin","name":"linkedin_gradient_minimal",
"prompt":_BP+"LinkedIn banner, midnight to navy gradient, minimal white brand shape only, ultra-clean professional header","width":1584,"height":396,"steps":30},
# Twitter/X Headers (1500×500)
{"id":"p2_tw_01","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_bold_navy",
"prompt":_BP+"Twitter X header banner, bold navy full bleed background, large white brand icon shape, membership management visual, strong social media presence","width":1500,"height":500,"steps":30},
{"id":"p2_tw_02","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_dark_pattern",
"prompt":_BP+"Twitter header, dark charcoal with subtle community geometric pattern, navy and gold accents, professional SaaS brand social header","width":1500,"height":500,"steps":30},
{"id":"p2_tw_03","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_product_hint",
"prompt":_BP+"Twitter header, dark background with abstract dashboard interface shapes, club management software preview silhouette, professional tech company header","width":1500,"height":500,"steps":30},
{"id":"p2_tw_04","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_community_abstract",
"prompt":_BP+"Twitter header, abstract community nodes growing into data streams, navy to dark gradient, artistic organic meets digital aesthetic","width":1500,"height":500,"steps":30},
{"id":"p2_tw_05","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_network",
"prompt":_BP+"Twitter header, membership network theme, connected nodes visualization in teal and navy, SaaS platform connecting businesses","width":1500,"height":500,"steps":30},
{"id":"p2_tw_06","phase":"phase2_banners","subfolder":"twitter_x","name":"twitter_white_clean",
"prompt":_BP+"Twitter header, clean white background, navy brand elements only, ultra-professional minimal social media header","width":1500,"height":500,"steps":30},
# Facebook Covers (820×312)
{"id":"p2_fb_01","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_primary_brand",
"prompt":_BP+"Facebook cover photo, primary brand colors navy and charcoal, professional club business company cover, centered branding icon","width":820,"height":312,"steps":30},
{"id":"p2_fb_02","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_dark_professional",
"prompt":_BP+"Facebook cover, dark sophisticated background, white and gold brand icon elements, enterprise platform premium cover","width":820,"height":312,"steps":30},
{"id":"p2_fb_03","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_membership_theme",
"prompt":_BP+"Facebook cover, membership and community theme, shield and verification iconography, navy professional company cover","width":820,"height":312,"steps":30},
{"id":"p2_fb_04","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_product_launch",
"prompt":_BP+"Facebook cover, product launch announcement style, bold navy with gold accents, exciting software release visual, dynamic tech company cover","width":820,"height":312,"steps":30},
{"id":"p2_fb_05","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_industry_leader",
"prompt":_BP+"Facebook cover, industry leadership positioning, club management market leader visual, professional authoritative design, navy and gold","width":820,"height":312,"steps":30},
{"id":"p2_fb_06","phase":"phase2_banners","subfolder":"facebook_cover","name":"facebook_seasonal_spring",
"prompt":_BP+"Facebook cover, spring fresh brand, bright teal with navy organic elements, membership growth season theme, professional seasonal cover","width":820,"height":312,"steps":30},
# Google Display Ads (16 assets - 4 concepts × 4 sizes)
{"id":"p2_ga_01a","phase":"phase2_banners","subfolder":"google_display","name":"gad_simplify_728x90",
"prompt":_BP+"Google display ad leaderboard, simplify club management theme, navy button shape, white background, professional B2B ad visual","width":728,"height":90,"steps":30},
{"id":"p2_ga_01b","phase":"phase2_banners","subfolder":"google_display","name":"gad_simplify_300x250",
"prompt":_BP+"Google display ad medium rectangle, simplify club management theme, navy design, bold icon shapes, professional SaaS ad creative","width":300,"height":250,"steps":30},
{"id":"p2_ga_01c","phase":"phase2_banners","subfolder":"google_display","name":"gad_simplify_160x600",
"prompt":_BP+"Google display ad wide skyscraper, simplify club management theme, tall vertical format, navy, professional B2B ad","width":160,"height":600,"steps":30},
{"id":"p2_ga_01d","phase":"phase2_banners","subfolder":"google_display","name":"gad_simplify_320x50",
"prompt":_BP+"Google display ad mobile banner, simplify management theme, minimal mobile ad, navy, club management SaaS","width":320,"height":50,"steps":30},
{"id":"p2_ga_02a","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_728x90",
"prompt":_BP+"Google display ad, manage everything club business theme, dashboard preview hint icons, dark charcoal professional leaderboard banner","width":728,"height":90,"steps":30},
{"id":"p2_ga_02b","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_300x250",
"prompt":_BP+"Google display ad, manage everything club operations theme, product dashboard icon glimpse, navy dark professional rectangle ad","width":300,"height":250,"steps":30},
{"id":"p2_ga_02c","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_160x600",
"prompt":_BP+"Google display skyscraper, manage club business operations theme, vertical product feature icon list visual, navy professional tall ad","width":160,"height":600,"steps":30},
{"id":"p2_ga_02d","phase":"phase2_banners","subfolder":"google_display","name":"gad_manage_320x50",
"prompt":_BP+"mobile banner, manage club business theme, ultra-minimal mobile ad strip, brand colors","width":320,"height":50,"steps":30},
{"id":"p2_ga_03a","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_728x90",
"prompt":_BP+"Google ad, grow your club business theme, upward growth arrow with member silhouette, gold and navy, professional B2B leaderboard","width":728,"height":90,"steps":30},
{"id":"p2_ga_03b","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_300x250",
"prompt":_BP+"Google ad, club business growth theme, ascending graph with navy growth visual, professional SaaS rectangle ad","width":300,"height":250,"steps":30},
{"id":"p2_ga_03c","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_160x600",
"prompt":_BP+"skyscraper ad, club business growth vertical story, people nodes growing upward through data visualization, navy tall display ad","width":160,"height":600,"steps":30},
{"id":"p2_ga_03d","phase":"phase2_banners","subfolder":"google_display","name":"gad_grow_320x50",
"prompt":_BP+"mobile ad, grow club membership, minimal mobile strip ad navy","width":320,"height":50,"steps":30},
{"id":"p2_ga_04a","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_728x90",
"prompt":_BP+"Google ad, free trial call to action shape, bold gold CTA shape, navy professional leaderboard, club management SaaS trial offer visual","width":728,"height":90,"steps":30},
{"id":"p2_ga_04b","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_300x250",
"prompt":_BP+"Google ad, free trial offer icon, gold button shape navy design, club management platform trial CTA rectangle ad","width":300,"height":250,"steps":30},
{"id":"p2_ga_04c","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_160x600",
"prompt":_BP+"skyscraper ad, free trial CTA vertical ad, gold call to action arrow shape, navy SaaS platform","width":160,"height":600,"steps":30},
{"id":"p2_ga_04d","phase":"phase2_banners","subfolder":"google_display","name":"gad_trial_320x50",
"prompt":_BP+"mobile ad, free trial minimal mobile strip, gold CTA shape navy brand","width":320,"height":50,"steps":30},
# App Store Feature Graphics (1024×500)
{"id":"p2_as_01","phase":"phase2_banners","subfolder":"app_store","name":"appstore_hero_dashboard",
"prompt":_BP+"app store feature graphic, club management app showcase, dark background with app dashboard UI icon preview shapes, navy interface elements, professional mobile app store hero","width":1024,"height":500,"steps":30},
{"id":"p2_as_02","phase":"phase2_banners","subfolder":"app_store","name":"appstore_membership_features",
"prompt":_BP+"app store feature graphic, membership features highlight, shield icons and checkmarks, navy professional, club membership app feature graphic","width":1024,"height":500,"steps":30},
{"id":"p2_as_03","phase":"phase2_banners","subfolder":"app_store","name":"appstore_analytics_focus",
"prompt":_BP+"app store feature graphic, business analytics and reporting feature, dashboard chart shapes preview, gold and navy data visualization, club business intelligence app","width":1024,"height":500,"steps":30},
{"id":"p2_as_04","phase":"phase2_banners","subfolder":"app_store","name":"appstore_team_management",
"prompt":_BP+"app store feature graphic, team and staff management, connected team nodes visualization, navy professional, club staff team management app","width":1024,"height":500,"steps":30},
# Email Header Banners (600×200)
{"id":"p2_em_01","phase":"phase2_banners","subfolder":"email_header","name":"email_primary_brand",
"prompt":_BP+"email header banner, primary brand header, navy with white icon area, professional email marketing header","width":600,"height":200,"steps":30},
{"id":"p2_em_02","phase":"phase2_banners","subfolder":"email_header","name":"email_welcome",
"prompt":_BP+"welcome email header, warm welcome theme, navy and teal gradient, onboarding email banner, new user email header","width":600,"height":200,"steps":30},
{"id":"p2_em_03","phase":"phase2_banners","subfolder":"email_header","name":"email_product_update",
"prompt":_BP+"product update email header, new features announcement, gold accent notification style, software update email banner","width":600,"height":200,"steps":30},
{"id":"p2_em_04","phase":"phase2_banners","subfolder":"email_header","name":"email_membership_alert",
"prompt":_BP+"membership alert email header, urgent notification theme, amber gold accent on dark, regulatory update email header, professional alert banner","width":600,"height":200,"steps":30},
{"id":"p2_em_05","phase":"phase2_banners","subfolder":"email_header","name":"email_monthly_report",
"prompt":_BP+"monthly report email header, data and analytics icon theme, chart shapes preview, navy professional, club business monthly summary","width":600,"height":200,"steps":30},
{"id":"p2_em_06","phase":"phase2_banners","subfolder":"email_header","name":"email_trial_ending",
"prompt":_BP+"trial ending email header, urgency CTA icon theme, gold highlight on dark, platform trial expiry email banner, convert to paid","width":600,"height":200,"steps":30},
{"id":"p2_em_07","phase":"phase2_banners","subfolder":"email_header","name":"email_invoice",
"prompt":_BP+"invoice and billing email header, clean minimal professional, white and navy, SaaS billing email header, enterprise professional","width":600,"height":200,"steps":30},
{"id":"p2_em_08","phase":"phase2_banners","subfolder":"email_header","name":"email_dark_premium",
"prompt":_BP+"dark premium email header, dark charcoal with gold and navy accents, VIP or enterprise tier email, club management premium header","width":600,"height":200,"steps":30},
# ============================================================
# PHASE 3 — Social Media Asset Pack (60 assets)
# ============================================================
# Instagram Square Posts (1024×1024)
{"id":"p3_ig_01","phase":"phase3_social","subfolder":"instagram_square","name":"insta_inventory_mgmt",
"prompt":_BP+"Instagram post, inventory management feature highlight, stock tracking dashboard icon visualization, navy UI elements, bold feature announcement visual, clean white and dark design","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_02","phase":"phase3_social","subfolder":"instagram_square","name":"insta_member_track",
"prompt":_BP+"Instagram post, member tracking feature, checklist visualization, shield and checkmark icons, navy and gold, club management SaaS post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_03","phase":"phase3_social","subfolder":"instagram_square","name":"insta_analytics_dash",
"prompt":_BP+"Instagram post, analytics dashboard feature, business intelligence data visualization icon, navy charts on dark background, club business analytics","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_04","phase":"phase3_social","subfolder":"instagram_square","name":"insta_staff_scheduling",
"prompt":_BP+"Instagram post, staff scheduling feature, team calendar and shift management visualization, club staff management, clean navy post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_05","phase":"phase3_social","subfolder":"instagram_square","name":"insta_pos_integration",
"prompt":_BP+"Instagram post, POS system integration feature, point-of-sale connection visualization, integration nodes and arrows, navy and gold tech post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_06","phase":"phase3_social","subfolder":"instagram_square","name":"insta_reporting",
"prompt":_BP+"Instagram post, automated reporting feature, beautiful report document preview shape, navy professional document visualization post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_07","phase":"phase3_social","subfolder":"instagram_square","name":"insta_multi_location",
"prompt":_BP+"Instagram post, multi-location management feature, club chain management, location pins on map with connecting navy lines","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_08","phase":"phase3_social","subfolder":"instagram_square","name":"insta_mobile_app",
"prompt":_BP+"Instagram post, mobile app feature highlight, iPhone and Android app shape mockup, club management on-the-go, navy app UI post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_09","phase":"phase3_social","subfolder":"instagram_square","name":"insta_security",
"prompt":_BP+"Instagram post, enterprise security feature, data protection and encryption visualization, shield with lock icon, dark professional navy security post","width":1024,"height":1024,"steps":30},
{"id":"p3_ig_10","phase":"phase3_social","subfolder":"instagram_square","name":"insta_brand_story",
"prompt":_BP+"Instagram brand story post, company mission, club empowerment, beautiful abstract people and technology fusion illustration, navy and gold, inspiring brand post","width":1024,"height":1024,"steps":30},
# Instagram Stories (720×1280)
{"id":"p3_st_01","phase":"phase3_social","subfolder":"instagram_story","name":"story_onboarding",
"prompt":_BP+"Instagram story, onboarding tutorial slide, step-by-step platform setup icon, navy vertical mobile design, swipe up arrow CTA shape, professional SaaS story","width":720,"height":1280,"steps":30},
{"id":"p3_st_02","phase":"phase3_social","subfolder":"instagram_story","name":"story_feature_announce",
"prompt":_BP+"Instagram story, new feature announcement, bold navy vertical design, software update story, gold accent highlight, arrow CTA shape","width":720,"height":1280,"steps":30},
{"id":"p3_st_03","phase":"phase3_social","subfolder":"instagram_story","name":"story_stat_highlight",
"prompt":_BP+"Instagram story, industry statistic highlight visual, large bold number shape, dark background gold number navy accent, data-driven story template","width":720,"height":1280,"steps":30},
{"id":"p3_st_04","phase":"phase3_social","subfolder":"instagram_story","name":"story_customer_quote",
"prompt":_BP+"Instagram story, customer testimonial visual, elegant quote marks shape on navy background, club business owner testimonial style, premium brand story","width":720,"height":1280,"steps":30},
{"id":"p3_st_05","phase":"phase3_social","subfolder":"instagram_story","name":"story_poll_template",
"prompt":_BP+"Instagram story, interactive poll template visual, club industry question bar icons, dark professional background, poll shapes styled in navy and gold","width":720,"height":1280,"steps":30},
{"id":"p3_st_06","phase":"phase3_social","subfolder":"instagram_story","name":"story_countdown",
"prompt":_BP+"Instagram story, countdown timer event template, launch deadline visual, bold dramatic dark background with gold countdown shape","width":720,"height":1280,"steps":30},
{"id":"p3_st_07","phase":"phase3_social","subfolder":"instagram_story","name":"story_tips_series",
"prompt":_BP+"Instagram story, club management tip of the day template, bright educational story icon, numbered tip format, teal navy professional guidance visual","width":720,"height":1280,"steps":30},
{"id":"p3_st_08","phase":"phase3_social","subfolder":"instagram_story","name":"story_free_trial",
"prompt":_BP+"Instagram story, free trial CTA story, bold gold arrow shape on dark navy, club management platform sign up visual, strong conversion design","width":720,"height":1280,"steps":30},
# LinkedIn Post Graphics (1200×627)
{"id":"p3_lp_01","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_thought_leader",
"prompt":_BP+"LinkedIn post graphic, thought leadership article header visual, club industry insights icon, professional editorial design, navy brand with white content area","width":1200,"height":627,"steps":30},
{"id":"p3_lp_02","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_product_demo",
"prompt":_BP+"LinkedIn post, product demo announcement visual, screenshot preview icon teaser, club management platform demo invitation shape, navy professional post","width":1200,"height":627,"steps":30},
{"id":"p3_lp_03","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_hiring",
"prompt":_BP+"LinkedIn hiring post, we are hiring banner shapes, team growth announcement visual, professional club tech company hiring graphic, navy and gold, people silhouettes","width":1200,"height":627,"steps":30},
{"id":"p3_lp_04","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_industry_stat",
"prompt":_BP+"LinkedIn post, club industry statistic infographic shapes, large bold number visual, professional B2B data post, navy","width":1200,"height":627,"steps":30},
{"id":"p3_lp_05","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_partnership",
"prompt":_BP+"LinkedIn partnership announcement, strategic partnership visual, club tech ecosystem, professional announcement graphic navy","width":1200,"height":627,"steps":30},
{"id":"p3_lp_06","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_webinar",
"prompt":_BP+"LinkedIn webinar promotion post, club compliance webinar announcement visual, calendar icon event, professional event promotion, navy dark design","width":1200,"height":627,"steps":30},
{"id":"p3_lp_07","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_case_study",
"prompt":_BP+"LinkedIn case study post, customer success story preview visual, club success metrics chart shapes, gold numbers on dark, professional B2B case study promotional","width":1200,"height":627,"steps":30},
{"id":"p3_lp_08","phase":"phase3_social","subfolder":"linkedin_post","name":"linkedin_award",
"prompt":_BP+"LinkedIn award announcement post, award or recognition visual, gold trophy badge element shape, club tech industry recognition, celebratory professional post","width":1200,"height":627,"steps":30},
# Feature Announcement Cards (1024×1024)
{"id":"p3_fc_01","phase":"phase3_social","subfolder":"feature_cards","name":"feature_barcode_scan",
"prompt":_BP+"feature card, barcode scanning inventory management, membership card scan interface icon, mobile scanning visualization, navy UI feature card","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_02","phase":"phase3_social","subfolder":"feature_cards","name":"feature_auto_reports",
"prompt":_BP+"feature card, automated reporting, automation icon with checklist shapes, reporting automation, navy professional feature announcement","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_03","phase":"phase3_social","subfolder":"feature_cards","name":"feature_real_time_alerts",
"prompt":_BP+"feature card, real-time alerts and notifications, bell notification icon with threshold alert shapes, gold alert accent on dark, notification feature","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_04","phase":"phase3_social","subfolder":"feature_cards","name":"feature_member_portal",
"prompt":_BP+"feature card, member self-service portal icon, club member login interface shape, clean navy member management, user portal visualization","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_05","phase":"phase3_social","subfolder":"feature_cards","name":"feature_api_integrations",
"prompt":_BP+"feature card, API integrations ecosystem icon, connected software nodes with hub, tech stack integration visualization, navy connection diagram","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_06","phase":"phase3_social","subfolder":"feature_cards","name":"feature_batch_tracking",
"prompt":_BP+"feature card, batch and lot tracking icon, product chain of custody visualization, numbered batch tracking flow shapes, compliance feature card","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_07","phase":"phase3_social","subfolder":"feature_cards","name":"feature_document_mgmt",
"prompt":_BP+"feature card, document management system icon, licensing and permit documents organized, folder icons in navy, digital document management","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_08","phase":"phase3_social","subfolder":"feature_cards","name":"feature_role_permissions",
"prompt":_BP+"feature card, role-based permissions feature icon, user role hierarchy visualization, shield with user silhouettes, team access control, dark professional","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_09","phase":"phase3_social","subfolder":"feature_cards","name":"feature_export_reports",
"prompt":_BP+"feature card, one-click export and reporting icon, PDF report generation shape, download arrow with report preview, navy feature card","width":1024,"height":1024,"steps":30},
{"id":"p3_fc_10","phase":"phase3_social","subfolder":"feature_cards","name":"feature_audit_trail",
"prompt":_BP+"feature card, complete audit trail icon, transaction history timeline, chronological log entry shapes, audit visualization, professional dark card","width":1024,"height":1024,"steps":30},
# Testimonial Cards (1024×1024)
{"id":"p3_tc_01","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_dark_elegant",
"prompt":_BP+"testimonial card, dark charcoal elegant quote card, gold quotation mark shapes, abstract customer silhouette, club business owner testimonial visual, premium design","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_02","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_navy_bold",
"prompt":_BP+"testimonial card, bold navy background, white quote mark shapes, customer review visual of club management SaaS, bold confident design","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_03","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_light_minimal",
"prompt":_BP+"testimonial card, light white minimal quote card, navy accent line, clean professional customer testimonial visual, minimal elegant design","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_04","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_star_rating",
"prompt":_BP+"testimonial card, 5-star rating visual, gold stars prominently displayed, abstract club management platform review","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_05","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_split_design",
"prompt":_BP+"testimonial card, split design half dark half navy, quote on dark side, customer info shape on navy side, club SaaS testimonial","width":1024,"height":1024,"steps":30},
{"id":"p3_tc_06","phase":"phase3_social","subfolder":"testimonial_cards","name":"testimonial_gradient",
"prompt":_BP+"testimonial card, midnight to navy gradient background, white elegant quote mark shapes, customer testimonial gradient design","width":1024,"height":1024,"steps":30},
# Stat/Data Cards (1024×1024)
{"id":"p3_sc_01","phase":"phase3_social","subfolder":"stat_cards","name":"stat_market_size",
"prompt":_BP+"stat card, club management market size statistic, large bold dollar amount shape, navy gold number on dark background, industry market data visual","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_02","phase":"phase3_social","subfolder":"stat_cards","name":"stat_cost_reduction",
"prompt":_BP+"stat card, cost reduction statistic visual, percentage savings with management software icon, gold percentage shape, club business cost savings","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_03","phase":"phase3_social","subfolder":"stat_cards","name":"stat_time_savings",
"prompt":_BP+"stat card, hours saved per week statistic, clock icon with bold number shape, club operational time savings, navy professional","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_04","phase":"phase3_social","subfolder":"stat_cards","name":"stat_membership_growth",
"prompt":_BP+"stat card, membership industry growth rate, upward arrow with percentage growth shape, membership retail market growth stat, gold growth number on dark","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_05","phase":"phase3_social","subfolder":"stat_cards","name":"stat_compliance_fines",
"prompt":_BP+"stat card, compliance violation fine amounts, regulatory penalty warning stat shape, amber warning colors, avoid fines messaging icon","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_06","phase":"phase3_social","subfolder":"stat_cards","name":"stat_customer_count",
"prompt":_BP+"stat card, number of clubs managed, large customer count statistic shape, navy social proof data card, platform traction metric","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_07","phase":"phase3_social","subfolder":"stat_cards","name":"stat_roi_metric",
"prompt":_BP+"stat card, ROI return on investment metric for club management software, large gold ROI percentage shape, business value data card","width":1024,"height":1024,"steps":30},
{"id":"p3_sc_08","phase":"phase3_social","subfolder":"stat_cards","name":"stat_global_clubs",
"prompt":_BP+"stat card, number of registered clubs worldwide, globe icon with country count shape, club management global market stat, navy global market visual","width":1024,"height":1024,"steps":30},
# ============================================================
# PHASE 4 — UI & Product Assets (32 assets)
# ============================================================
# App Icons (1024×1024)
{"id":"p4_ai_01","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_ios_navy",
"prompt":_BP+"iOS app icon, Apple iOS style rounded square, navy gradient background, white membership network icon mark, premium mobile app icon, App Store quality","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_02","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_ios_dark",
"prompt":_BP+"iOS app icon, dark mode iOS icon, dark charcoal with navy and gold brand mark, premium dark app icon, club management mobile app","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_03","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_ios_gold",
"prompt":_BP+"iOS app icon, premium gold accent, deep navy background with gold membership circuit brand mark, luxury club management app icon","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_04","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_android_material",
"prompt":_BP+"Android app icon, Material Design 3 style adaptive icon, navy with white icon shape, Google Play Store quality, club management Android app","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_05","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_android_dark",
"prompt":_BP+"Android dark mode app icon, dark adaptive icon, navy outline on near-black, Material You dark theme, club management app","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_06","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_gradient_modern",
"prompt":_BP+"app icon, modern gradient icon, midnight to navy gradient background, white geometric membership tech mark, contemporary design","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_07","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_flat_clean",
"prompt":_BP+"app icon, flat design icon, solid navy no gradient, white minimal icon mark, flat design philosophy, simple clean club management","width":1024,"height":1024,"steps":30},
{"id":"p4_ai_08","phase":"phase4_ui","subfolder":"app_icons","name":"appicon_neumorphic",
"prompt":_BP+"app icon, neumorphic soft UI style, light slate background with embossed membership network icon, subtle shadows, premium modern icon design","width":1024,"height":1024,"steps":30},
# Device Mockups
{"id":"p4_dm_01","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_macbook",
"prompt":_BP+"dashboard shown on MacBook Pro shape mockup, professional product marketing, club management SaaS on Apple laptop silhouette, navy UI on screen shape, clean white studio background","width":1024,"height":640,"steps":30},
{"id":"p4_dm_02","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_ipad",
"prompt":_BP+"dashboard on iPad Pro shape mockup, club management tablet interface icon, navy UI on Apple iPad silhouette, clean marketing product shot, white background","width":1024,"height":768,"steps":30},
{"id":"p4_dm_03","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_iphone",
"prompt":_BP+"mobile app on iPhone shape mockup, club management mobile interface icon, navy green mobile UI, clean product marketing shot, white background","width":390,"height":844,"steps":30},
{"id":"p4_dm_04","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_desktop_monitor",
"prompt":_BP+"dashboard on large desktop monitor shape mockup, club management enterprise software on wide screen silhouette, dark UI visible, professional product marketing display","width":1280,"height":720,"steps":30},
{"id":"p4_dm_05","phase":"phase4_ui","subfolder":"device_mockups","name":"mockup_android_phone",
"prompt":_BP+"mobile app on Android phone shape mockup, club management Android interface icon, Material Design navy UI, product marketing shot white background","width":390,"height":844,"steps":30},
# Onboarding Illustrations (800×600)
{"id":"p4_ob_01","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_inventory",
"prompt":_BP+"onboarding illustration, inventory management scene icon, product shelves with digital inventory overlay shapes, flat illustration style, navy and teal","width":800,"height":600,"steps":30},
{"id":"p4_ob_02","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_compliance",
"prompt":_BP+"onboarding illustration, compliance tracking scene icon, person silhouette reviewing regulatory documents with digital checklist shape, confident professional flat illustration","width":800,"height":600,"steps":30},
{"id":"p4_ob_03","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_analytics",
"prompt":_BP+"onboarding illustration, analytics and reporting scene icon, business person silhouette analyzing sales charts, dashboard visualization, navy data visualization flat","width":800,"height":600,"steps":30},
{"id":"p4_ob_04","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_staff",
"prompt":_BP+"onboarding illustration, staff scheduling scene icon, team member silhouettes with shift calendar shape, club team management, professional flat art navy","width":800,"height":600,"steps":30},
{"id":"p4_ob_05","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_pos",
"prompt":_BP+"onboarding illustration, POS integration scene icon, point of sale system connected to management platform shapes, tech integration flat illustration, navy","width":800,"height":600,"steps":30},
{"id":"p4_ob_06","phase":"phase4_ui","subfolder":"onboarding_illustrations","name":"onboard_reporting",
"prompt":_BP+"onboarding illustration, automated reporting scene icon, report documents generating automatically shapes, magic automation illustration, navy gold professional flat art","width":800,"height":600,"steps":30},
# Empty States (600×400)
{"id":"p4_es_01","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_data",
"prompt":_BP+"empty state illustration, no data yet icon, friendly empty chart shape, get started visual, navy minimal SaaS illustration","width":600,"height":400,"steps":30},
{"id":"p4_es_02","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_results",
"prompt":_BP+"empty state illustration, no search results found icon, magnifying glass with empty bubble, friendly empty state, navy minimal","width":600,"height":400,"steps":30},
{"id":"p4_es_03","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_alerts",
"prompt":_BP+"empty state illustration, no alerts icon, happy shield with checkmark, all clear illustration, club compliance all good state, navy positive","width":600,"height":400,"steps":30},
{"id":"p4_es_04","phase":"phase4_ui","subfolder":"empty_states","name":"empty_no_members",
"prompt":_BP+"empty state illustration, no members added yet icon, friendly people silhouettes with plus icon, club member management, navy add members","width":600,"height":400,"steps":30},
{"id":"p4_es_05","phase":"phase4_ui","subfolder":"empty_states","name":"empty_loading_data",
"prompt":_BP+"empty state illustration, loading and processing data icon, gentle spinner shapes, patient loading state, navy minimal illustration","width":600,"height":400,"steps":30},
{"id":"p4_es_06","phase":"phase4_ui","subfolder":"empty_states","name":"empty_offline",
"prompt":_BP+"empty state illustration, offline or connection error icon, disconnected wifi shape, friendly error state, amber warning on navy","width":600,"height":400,"steps":30},
# Splash/Loading Screens (720×1280)
{"id":"p4_sp_01","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_primary",
"prompt":_BP+"splash screen, app loading screen, dark charcoal background, large centered brand icon mark shape, subtle navy glow effect, premium app loading screen","width":720,"height":1280,"steps":30},
{"id":"p4_sp_02","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_navy",
"prompt":_BP+"splash screen, navy background, white icon centered, minimal loading indicator shape, club management app splash, clean brand loading screen","width":720,"height":1280,"steps":30},
{"id":"p4_sp_03","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_animated_hint",
"prompt":_BP+"splash screen, animated concept, community node particles converging into icon mark, dark background with teal particles, dynamic loading screen first frame","width":720,"height":1280,"steps":30},
{"id":"p4_sp_04","phase":"phase4_ui","subfolder":"splash_screens","name":"splash_gradient",
"prompt":_BP+"splash screen, dramatic dark to navy gradient background, white brand mark shape, premium loading experience, club SaaS gradient splash","width":720,"height":1280,"steps":30},
# ============================================================
# PHASE 5 — Brand Collateral (38 assets)
# ============================================================
# Business Cards (900×504)
{"id":"p5_bc_01f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_modern_front",
"prompt":_BP+"business card front, modern minimal style, navy left accent panel, white main area, name placeholder area, club management SaaS company card, premium print","width":900,"height":504,"steps":30},
{"id":"p5_bc_01b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_modern_back",
"prompt":_BP+"business card back, modern minimal style, full navy back with white icon centered, club management SaaS card back","width":900,"height":504,"steps":30},
{"id":"p5_bc_02f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_dark_front",
"prompt":_BP+"business card front, dark luxury style, dark charcoal background, gold foil accent icon, premium club management company card, executive tier","width":900,"height":504,"steps":30},
{"id":"p5_bc_02b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_dark_back",
"prompt":_BP+"business card back, dark luxury style, full dark charcoal, gold icon and navy accent, premium back of card","width":900,"height":504,"steps":30},
{"id":"p5_bc_03f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_pattern_front",
"prompt":_BP+"business card front, geometric community pattern accent, white card with subtle hexagonal pattern header, professional pattern card front","width":900,"height":504,"steps":30},
{"id":"p5_bc_03b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_pattern_back",
"prompt":_BP+"business card back, community geometric pattern full bleed, navy hexagonal pattern background, white icon, pattern card back","width":900,"height":504,"steps":30},
{"id":"p5_bc_04f","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_bold_front",
"prompt":_BP+"business card front, bold icon style, large navy brand shape, clean white card, icon-forward business card","width":900,"height":504,"steps":30},
{"id":"p5_bc_04b","phase":"phase5_collateral","subfolder":"business_cards","name":"bizcard_bold_back",
"prompt":_BP+"business card back, bold style, split navy and white back, contact details area shape, club company card back bold design","width":900,"height":504,"steps":30},
# Pitch Deck Covers (1280×720)
{"id":"p5_pd_01","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_investor_dark",
"prompt":_BP+"pitch deck cover slide, investor presentation, dark sophisticated background, large icon centered, funding round visual area, premium club SaaS investor deck","width":1280,"height":720,"steps":30},
{"id":"p5_pd_02","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_growth_story",
"prompt":_BP+"pitch deck cover, growth story visual, ascending membership curve becoming data chart, navy to gold gradient, investor-grade presentation cover","width":1280,"height":720,"steps":30},
{"id":"p5_pd_03","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_market_opp",
"prompt":_BP+"pitch deck cover, market opportunity theme, club industry size visualization, globe with highlighted market regions, navy professional investor presentation","width":1280,"height":720,"steps":30},
{"id":"p5_pd_04","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_team_deck",
"prompt":_BP+"pitch deck cover, team presentation version, professional team silhouette backdrop, club tech startup team slide, navy brand, people silhouette-forward investor deck","width":1280,"height":720,"steps":30},
{"id":"p5_pd_05","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_product_demo",
"prompt":_BP+"pitch deck cover, product demo deck, dashboard preview hero visual shapes, club management SaaS product tour deck, navy UI preview","width":1280,"height":720,"steps":30},
{"id":"p5_pd_06","phase":"phase5_collateral","subfolder":"pitch_deck","name":"pitch_minimal_clean",
"prompt":_BP+"pitch deck cover, ultra-minimal clean slide, white background, large navy brand icon only, minimalist investor presentation","width":1280,"height":720,"steps":30},
# One-Pager Headers (1200×400)
{"id":"p5_op_01","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_primary",
"prompt":_BP+"one-pager header, primary brand header, navy full bleed, white icon and visual, club management SaaS brochure header, print quality","width":1200,"height":400,"steps":30},
{"id":"p5_op_02","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_feature_rich",
"prompt":_BP+"one-pager header, feature-rich header, dashboard preview icon glimpse shapes, club management platform features introduction, professional SaaS marketing","width":1200,"height":400,"steps":30},
{"id":"p5_op_03","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_compliance",
"prompt":_BP+"one-pager header, compliance focus version, legal and regulatory icon theme, club compliance management, shield icons, dark professional header","width":1200,"height":400,"steps":30},
{"id":"p5_op_04","phase":"phase5_collateral","subfolder":"one_pager","name":"onepager_dark_premium",
"prompt":_BP+"one-pager header, dark premium version, charcoal background with gold and navy accents, enterprise tier marketing collateral header","width":1200,"height":400,"steps":30},
# Trade Show Banners (512×1280)
{"id":"p5_ts_01","phase":"phase5_collateral","subfolder":"trade_show","name":"tradeshow_primary_brand",
"prompt":_BP+"trade show pull-up banner tall vertical, primary brand version, navy top with icon, white middle with key feature icons listed, dark bottom with CTA arrow, club management SaaS conference banner","width":512,"height":1280,"steps":30},
{"id":"p5_ts_02","phase":"phase5_collateral","subfolder":"trade_show","name":"tradeshow_product_showcase",
"prompt":_BP+"trade show banner tall vertical, product showcase, dashboard UI hero visual shapes, dark sophisticated background, navy accents, club management software exhibition display","width":512,"height":1280,"steps":30},
{"id":"p5_ts_03","phase":"phase5_collateral","subfolder":"trade_show","name":"tradeshow_membership_focus",
"prompt":_BP+"trade show banner tall vertical, membership authority positioning, club management expertise icons, professional membership focus, navy and gold tall exhibition banner","width":512,"height":1280,"steps":30},
# Sticker/Swag Designs (600×600)
{"id":"p5_sk_01","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_people_circuit",
"prompt":_BP+"sticker design, people silhouettes made of circuit traces, navy on white, die-cut sticker style, fun tech community brand sticker","width":600,"height":600,"steps":30},
{"id":"p5_sk_02","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_icon_badge",
"prompt":_BP+"sticker badge, rounded rectangle badge, navy background, white brand icon shape, premium brand sticker, laptop sticker style","width":600,"height":600,"steps":30},
{"id":"p5_sk_03","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_membership_hero",
"prompt":_BP+"sticker, membership superhero icon, shield with people and checkmark, fun illustrated sticker, navy and gold, die-cut design","width":600,"height":600,"steps":30},
{"id":"p5_sk_04","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_data_community",
"prompt":_BP+"fun sticker, community nodes growing into data chart bars, punchy colorful sticker art, navy people gold bars, square sticker","width":600,"height":600,"steps":30},
{"id":"p5_sk_05","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_club_astronaut",
"prompt":_BP+"sticker, cartoon astronaut holding membership card and laptop, space tech meets club management, fun illustrated sticker, navy spacesuit, brand mascot concept","width":600,"height":600,"steps":30},
{"id":"p5_sk_06","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_powered_by",
"prompt":_BP+"powered by sticker, powered by platform badge icon, small horizontal badge sticker, navy and white, partner sticker for clubs","width":600,"height":600,"steps":30},
{"id":"p5_sk_07","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_compliance_100",
"prompt":_BP+"sticker, 100 percent compliant badge icon, bold navy circle with checkmark and percentage shape, compliance achievement sticker, club compliance badge","width":600,"height":600,"steps":30},
{"id":"p5_sk_08","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_hexagon_icon",
"prompt":_BP+"hexagon sticker, hexagonal border with community network icon, honeycomb management brand sticker, navy hex border gold icon, premium die-cut","width":600,"height":600,"steps":30},
{"id":"p5_sk_09","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_members_first",
"prompt":_BP+"sticker, members first badge design, playful club membership spirit icon, professional but fun brand sticker, navy with gold shapes","width":600,"height":600,"steps":30},
{"id":"p5_sk_10","phase":"phase5_collateral","subfolder":"stickers","name":"sticker_manage_everything",
"prompt":_BP+"sticker, manage everything icon, bold icon sticker, navy background white icon shape, punchy brand statement sticker","width":600,"height":600,"steps":30},
# Email Signature Blocks (600×150)
{"id":"p5_es_01","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_primary",
"prompt":_BP+"email signature graphic block, primary brand, horizontal icon left with visual divider, navy line, professional email signature banner","width":600,"height":150,"steps":30},
{"id":"p5_es_02","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_dark",
"prompt":_BP+"email signature block, dark version, charcoal background white icon navy accent, premium email signature graphic","width":600,"height":150,"steps":30},
{"id":"p5_es_03","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_minimal",
"prompt":_BP+"email signature graphic, minimal version, just icon and visual, very clean white background, ultra-minimal email signature banner","width":600,"height":150,"steps":30},
{"id":"p5_es_04","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_promo",
"prompt":_BP+"email signature promo block, promotional version with CTA arrow shape, gold button area, white background navy brand, conversion CTA signature","width":600,"height":150,"steps":30},
{"id":"p5_es_05","phase":"phase5_collateral","subfolder":"email_signatures","name":"sigblock_social",
"prompt":_BP+"email signature block, social media icons version, small social platform icon shapes in navy, company signature with social links footer","width":600,"height":150,"steps":30},
# ============================================================
# PHASE 6 — Bonus / Wildcard Assets (35 assets)
# ============================================================
# Animated Banner First-Frame Stills (1200×628)
{"id":"p6_an_01","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_particle_logo",
"prompt":_BP+"animated banner first frame, community node particles forming icon mark mid-flight, dark background teal particles, designed for animation, static concept frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_02","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_data_flow",
"prompt":_BP+"animated banner first frame, data flow visualization beginning, club data streams starting to form dashboard shapes, dark background navy data lines, animation concept first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_03","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_growth_chart",
"prompt":_BP+"animated banner still, club business growth chart animation first frame, bar chart at zero about to animate upward, gold bars on dark, growth animation concept","width":1200,"height":628,"steps":30},
{"id":"p6_an_04","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_checklist_check",
"prompt":_BP+"animated banner first frame, membership checklist items unchecked ready to animate with checkmarks, navy checklist on white, compliance animation concept","width":1200,"height":628,"steps":30},
{"id":"p6_an_05","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_community_grow",
"prompt":_BP+"animated banner still, community node seedling about to grow into data visualization network, dark background seed sprouting, growth animation first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_06","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_typing_headline",
"prompt":_BP+"animated banner still, typing cursor before headline space, empty headline with blinking cursor concept shape, navy CTA button below, typewriter animation first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_07","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_integration_connect",
"prompt":_BP+"animated banner still, integration ecosystem nodes about to connect, partner icon nodes as unconnected shapes, teal connecting lines forming, integration animation first frame","width":1200,"height":628,"steps":30},
{"id":"p6_an_08","phase":"phase6_bonus","subfolder":"animated_stills","name":"anim_counter_stat",
"prompt":_BP+"animated banner still, number counter animation first frame showing zero shape, gold large number shape about to count up, dark background, counter animation concept","width":1200,"height":628,"steps":30},
# Dark Mode vs Light Mode UI Pairs (1200×800 each = 6 pairs)
{"id":"p6_dm_01l","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_dashboard_light",
"prompt":_BP+"UI preview card, light mode dashboard interface, clean white background, navy UI element shapes, club management SaaS light theme preview","width":1200,"height":800,"steps":40},
{"id":"p6_dm_01d","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_dashboard_dark",
"prompt":_BP+"UI preview card, dark mode dashboard interface, dark charcoal background, teal glowing UI element shapes, club management SaaS dark theme preview, premium dark mode","width":1200,"height":800,"steps":40},
{"id":"p6_dm_02l","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_membership_light",
"prompt":_BP+"UI preview, membership module light mode, white clean interface with checklist and status indicator shapes, navy checkmarks, club membership UI","width":1200,"height":800,"steps":40},
{"id":"p6_dm_02d","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_membership_dark",
"prompt":_BP+"UI preview, membership module dark mode, dark interface with glowing navy membership indicator shapes, club membership UI dark theme, premium","width":1200,"height":800,"steps":40},
{"id":"p6_dm_03l","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_analytics_light",
"prompt":_BP+"UI preview, analytics dashboard light mode, white background with colorful club business chart shapes, navy and gold data visualization, light theme","width":1200,"height":800,"steps":40},
{"id":"p6_dm_03d","phase":"phase6_bonus","subfolder":"dark_light_pairs","name":"uipair_analytics_dark",
"prompt":_BP+"UI preview, analytics dashboard dark mode, dark background with glowing navy and gold club business chart shapes, dramatic dark mode analytics UI","width":1200,"height":800,"steps":40},
# Integration/Partnership Badges (400×200)
{"id":"p6_ib_01","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_pos_integration",
"prompt":_BP+"integration badge, integrates with POS systems badge icon, point-of-sale integration certification, navy badge design, professional","width":400,"height":200,"steps":40},
{"id":"p6_ib_02","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_accounting",
"prompt":_BP+"integration badge, accounting software integration badge icon, financial software connection shape, navy badge with accounting icon","width":400,"height":200,"steps":40},
{"id":"p6_ib_03","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_compliance_tools",
"prompt":_BP+"integration badge, compliance tool integration badge icon, regulatory software connection shape, navy shield badge design","width":400,"height":200,"steps":40},
{"id":"p6_ib_04","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_api_ready",
"prompt":_BP+"API ready badge icon, API first platform badge shape, developer integration badge, navy and code brackets design, club management API badge","width":400,"height":200,"steps":40},
{"id":"p6_ib_05","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_partner_certified",
"prompt":_BP+"partner certified badge icon, certified technology partner badge design shape, navy official partner badge, club management platform partner program","width":400,"height":200,"steps":40},
{"id":"p6_ib_06","phase":"phase6_bonus","subfolder":"integration_badges","name":"badge_white_label",
"prompt":_BP+"white label partner badge icon, white label ready platform badge shape, club SaaS white label partner certification, professional partner badge navy","width":400,"height":200,"steps":40},
# Trust/Award Badges (400×400)
{"id":"p6_tb_01","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_gdpr_compliant",
"prompt":_BP+"trust badge, GDPR compliant badge design icon, data protection certification shape, navy shield with EU star circle, club SaaS data privacy trust badge","width":400,"height":400,"steps":40},
{"id":"p6_tb_02","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_soc2_ready",
"prompt":_BP+"trust badge, SOC 2 ready certification badge icon, enterprise security trust badge shape, professional certification seal, dark navy badge design","width":400,"height":400,"steps":40},
{"id":"p6_tb_03","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_uptime_guarantee",
"prompt":_BP+"trust badge, 99.9 percent uptime guarantee badge icon, reliability certification shape, gold uptime number on navy badge, club SaaS reliability trust signal","width":400,"height":400,"steps":40},
{"id":"p6_tb_04","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_industry_choice",
"prompt":_BP+"award badge, club industry choice award badge design icon, industry recognition award seal shape, gold and navy award badge","width":400,"height":400,"steps":40},
{"id":"p6_tb_05","phase":"phase6_bonus","subfolder":"trust_badges","name":"trust_money_back",
"prompt":_BP+"trust badge, 30-day money back guarantee badge icon, customer confidence seal shape, navy circle badge, club SaaS satisfaction badge","width":400,"height":400,"steps":40},
]
# Bump steps for quality on phases with smaller dimensions
for _a in ASSET_MANIFEST:
if _a["steps"] == 30 and _a["width"] <= 1024 and _a["height"] <= 1024:
_a["steps"] = 40
def load_progress() -> Dict[str, Any]:
"""Load resume state from .progress.json."""
if PROGRESS_FILE.exists():
try:
with open(PROGRESS_FILE) as f:
return json.load(f)
except (json.JSONDecodeError, IOError):
pass
return {"completed": [], "failed": [], "started_at": time.strftime("%Y-%m-%dT%H:%M:%S")}
def save_progress(progress: Dict[str, Any]) -> None:
"""Save progress state."""
OUTPUT_ROOT.mkdir(parents=True, exist_ok=True)
with open(PROGRESS_FILE, "w") as f:
json.dump(progress, f, indent=2)
def load_workflow(model: str) -> Dict:
"""Load the appropriate workflow JSON."""
path = WORKFLOW_HERETIC if model == "heretic" else WORKFLOW_SCHNELL
with open(path) as f:
return json.load(f)
def submit_prompt(comfyui_url: str, workflow: Dict) -> str:
"""Submit prompt to ComfyUI."""
data = json.dumps({"prompt": workflow}).encode()
req = urllib.request.Request(
f"{comfyui_url}/prompt", data=data, headers={"Content-Type": "application/json"}
)
with urllib.request.urlopen(req) as resp:
return json.loads(resp.read())["prompt_id"]
def wait_for_image(comfyui_url: str, prompt_id: str, timeout: int = 300) -> Dict | None:
"""Poll for completion."""
print(" ⏳ Waiting for ComfyUI...", end="", flush=True)
start = time.time()
while time.time() - start < timeout:
try:
with urllib.request.urlopen(f"{comfyui_url}/history/{prompt_id}") as resp:
history = json.loads(resp.read())
if prompt_id in history:
print(" done.", flush=True)
outputs = history[prompt_id].get("outputs", {})
for node_out in outputs.values():
if "images" in node_out:
return node_out["images"][0]
return None
except Exception:
pass
print(".", end="", flush=True)
time.sleep(2)
print(" timeout!", flush=True)
return None
def download_image(comfyui_url: str, image_info: Dict, output_path: Path) -> bool:
"""Download the generated image."""
try:
url = f"{comfyui_url}/view?filename={image_info['filename']}&subfolder={image_info.get('subfolder', '')}&type=output"
with urllib.request.urlopen(url) as resp:
img_data = resp.read()
output_path.write_bytes(img_data)
print(f" ✅ Saved: {output_path} ({len(img_data) // 1024}KB)")
return True
except Exception as e:
print(f" ❌ Download failed: {e}")
return False
def patch_workflow(workflow: Dict, asset: Dict, model: str) -> Dict:
"""Patch workflow with asset params using per-model node IDs."""
seed = random.randint(0, 2**32 - 1)
if model == "heretic":
# flux2_klein_heretic.json nodes: 2=pos, 3=neg, 6=latent(w/h), 7=scheduler(steps), 10=noise(seed), 13=save
workflow["2"]["inputs"]["text"] = asset["prompt"]
workflow["3"]["inputs"]["text"] = _NEG
workflow["6"]["inputs"]["width"] = asset["width"]
workflow["6"]["inputs"]["height"] = asset["height"]
workflow["7"]["inputs"]["steps"] = asset["steps"]
workflow["13"]["inputs"]["filename_prefix"] = asset["name"]
if "10" in workflow:
workflow["10"]["inputs"]["noise_seed"] = seed
else:
# flux_schnell.json nodes: 6=pos, 33=neg, 27=latent(w/h), 13=ksampler(steps/seed), 9=save
workflow["6"]["inputs"]["text"] = asset["prompt"]
workflow["33"]["inputs"]["text"] = _NEG
workflow["27"]["inputs"]["width"] = asset["width"]
workflow["27"]["inputs"]["height"] = asset["height"]
workflow["13"]["inputs"]["steps"] = asset["steps"]
workflow["13"]["inputs"]["seed"] = seed
workflow["9"]["inputs"]["filename_prefix"] = asset["name"]
return workflow
def generate_asset(comfyui_url: str, asset: Dict, model: str, progress: Dict) -> bool:
"""Generate a single asset."""
if asset["id"] in progress["completed"]:
print(f" ⏭️ Skipping completed: {asset['name']}")
return True
print(f"\n Prompt : {asset['prompt'][:80]}...")
print(f" Size : {asset['width']}×{asset['height']} Steps: {asset['steps']}")
try:
workflow = load_workflow(model)
workflow = patch_workflow(workflow, asset, model)
prompt_id = submit_prompt(comfyui_url, workflow)
image_info = wait_for_image(comfyui_url, prompt_id)
if not image_info:
progress["failed"].append(asset["id"])
save_progress(progress)
return False
output_dir = OUTPUT_ROOT / asset["phase"] / asset["subfolder"]
output_dir.mkdir(parents=True, exist_ok=True)
output_path = output_dir / f"{asset['name']}.png"
if download_image(comfyui_url, image_info, output_path):
progress["completed"].append(asset["id"])
save_progress(progress)
return True
else:
progress["failed"].append(asset["id"])
save_progress(progress)
return False
except Exception as e:
print(f" ❌ Error: {e}")
progress["failed"].append(asset["id"])
save_progress(progress)
return False
def main():
parser = argparse.ArgumentParser(description="ClubManage Brand Asset Generation Pipeline")
parser.add_argument("--dry-run", action="store_true", help="Print manifest without generating")
parser.add_argument("--phase", help="Generate only assets from this phase (e.g. phase1_logos)")
parser.add_argument("--model", choices=["schnell", "heretic"], default="schnell",
help="Model: schnell (~10-20s/img) or heretic (~52s/img, higher quality)")
parser.add_argument("--comfyui", default="http://localhost:8188", help="ComfyUI URL")
parser.add_argument("--steps", type=int, default=None,
help="Override steps for all assets (e.g. --steps 12 for higher quality)")
args = parser.parse_args()
comfyui_url = args.comfyui
# Apply global steps override if requested
manifest = ASSET_MANIFEST
if args.steps:
manifest = [{**a, "steps": args.steps} for a in manifest]
# Filter by phase if requested
to_generate = [a for a in manifest if not args.phase or a["phase"] == args.phase]
print("🚀 ClubManage Brand Asset Generation Pipeline")
print(f" Output : {OUTPUT_ROOT}")
print(f" Model : {args.model}")
print(f" ComfyUI : {comfyui_url}")
print(f" Total : {len(ASSET_MANIFEST)} assets in manifest")
print(f" Selected: {len(to_generate)} assets to generate")
print(f" Note : All images are text-free — pure visual/icon design")
if args.dry_run:
phases: Dict[str, int] = {}
for a in to_generate:
phases[a["phase"]] = phases.get(a["phase"], 0) + 1
for ph, count in phases.items():
print(f"\n {ph} ({count} assets):")
for a in to_generate:
if a["phase"] == ph:
print(f" {a['id']:14} | {a['name']:35} | {a['width']}×{a['height']} steps={a['steps']}")
total_min_est = sum(a["steps"] * 2.5 for a in to_generate) / 60
print(f"\n ⏱️ Estimated runtime (schnell): ~{total_min_est:.0f} minutes")
print("\nDry run complete. Remove --dry-run to begin generation.")
return
progress = load_progress()
remaining = [a for a in to_generate if a["id"] not in progress["completed"]]
print(f" Resume : {len(progress['completed'])} completed, {len(progress['failed'])} failed, {len(remaining)} remaining")
if not remaining:
print("\n✅ All selected assets already complete!")
return
print(f"\nStarting generation... (Ctrl+C to pause — progress is saved)")
n_done = 0
n_fail = 0
for i, asset in enumerate(to_generate, 1):
if asset["id"] in progress["completed"]:
continue
print(f"\n[{asset['phase']}] [{i}/{len(to_generate)}] {asset['name']}")
if generate_asset(comfyui_url, asset, args.model, progress):
n_done += 1
else:
n_fail += 1
print("\n" + "=" * 60)
print("🎉 PIPELINE COMPLETE")
print(f" ✅ Completed this run : {n_done}")
print(f" ❌ Failed this run : {n_fail}")
print(f" 📦 Total completed : {len(progress['completed'])} / {len(ASSET_MANIFEST)}")
if progress["failed"]:
print(f" Failed IDs: {', '.join(progress['failed'][-10:])}")
print(f" Assets saved to: {OUTPUT_ROOT}")
print("=" * 60)
if __name__ == "__main__":
main()
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[Unit]
Description=ComfyUI — Local AI Image Generation (AMD ROCm / FLUX.1-schnell)
Documentation=https://github.com/comfyanonymous/ComfyUI
After=network.target
[Service]
Type=simple
WorkingDirectory=%h/ComfyUI
ExecStart=%h/ComfyUI/.venv/bin/python main.py --listen --port 8188
Restart=on-failure
RestartSec=10
# AMD RX 7900 XTX ROCm GFX override — required for correct GPU detection
Environment=HSA_OVERRIDE_GFX_VERSION=11.0.0
# Redirect output — follow with: journalctl --user -u comfyui -f
StandardOutput=journal
StandardError=journal
[Install]
WantedBy=default.target
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#!/usr/bin/env python3
"""
Quick CLI for generating images via ComfyUI + FLUX.2 Klein Heretic.
Usage:
python gen.py "your prompt here"
python gen.py "your prompt" --steps 20 --width 1280 --height 720
python gen.py "your prompt" --seed 12345
python gen.py "your prompt" --count 3
Output saved to ~/Pictures/mcp-generated/
"""
import argparse
import json
import random
import sys
import time
import urllib.request
from pathlib import Path
COMFYUI = "http://localhost:8188"
OUTPUT_DIR = Path.home() / "Pictures" / "mcp-generated"
WORKFLOW_PATH = Path(__file__).parent / "src/workflows/flux2_klein_heretic.json"
def load_workflow():
with open(WORKFLOW_PATH) as f:
return json.load(f)
def submit(workflow):
data = json.dumps({"prompt": workflow}).encode()
req = urllib.request.Request(
f"{COMFYUI}/prompt", data=data,
headers={"Content-Type": "application/json"}
)
with urllib.request.urlopen(req) as resp:
return json.loads(resp.read())["prompt_id"]
def wait(prompt_id, timeout=300):
print(" ⏳ Waiting for ComfyUI...", end="", flush=True)
start = time.time()
while time.time() - start < timeout:
with urllib.request.urlopen(f"{COMFYUI}/history/{prompt_id}") as resp:
history = json.loads(resp.read())
if prompt_id in history:
print(" done.", flush=True)
outputs = history[prompt_id].get("outputs", {})
for node_out in outputs.values():
if "images" in node_out:
return node_out["images"][0]
return None
print(".", end="", flush=True)
time.sleep(2)
raise TimeoutError(f"Timed out after {timeout}s")
def download(filename, subfolder=""):
url = f"{COMFYUI}/view?filename={filename}&subfolder={subfolder}&type=output"
with urllib.request.urlopen(url) as resp:
return resp.read()
def generate(prompt, steps=20, width=1024, height=1024, seed=-1, name="cli"):
if seed == -1:
seed = random.randint(0, 2**32 - 1)
workflow = load_workflow()
# Patch positive prompt (node 2)
workflow["2"]["inputs"]["text"] = prompt
# Patch negative prompt (node 3) — leave empty
workflow["3"]["inputs"]["text"] = ""
# Patch seed (node 10)
if "10" in workflow:
workflow["10"]["inputs"]["noise_seed"] = seed
# Patch dimensions (node 6)
workflow["6"]["inputs"]["width"] = width
workflow["6"]["inputs"]["height"] = height
# Patch steps (node 7)
workflow["7"]["inputs"]["steps"] = steps
# Patch output filename (node 13)
workflow["13"]["inputs"]["filename_prefix"] = name
print(f" Prompt : {prompt[:80]}{'...' if len(prompt) > 80 else ''}")
print(f" Size : {width}×{height} Steps: {steps} Seed: {seed}")
prompt_id = submit(workflow)
image_info = wait(prompt_id)
if not image_info:
print(" ❌ No output image returned.", file=sys.stderr)
return None
img_data = download(image_info["filename"], image_info.get("subfolder", ""))
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
out_path = OUTPUT_DIR / f"{name}_{seed}.png"
out_path.write_bytes(img_data)
print(f" ✅ Saved: {out_path} ({len(img_data) // 1024}KB)")
return out_path
def main():
parser = argparse.ArgumentParser(
description="Generate images via ComfyUI FLUX.2 Klein Heretic"
)
parser.add_argument("prompt", help="Text prompt for the image")
parser.add_argument("--steps", type=int, default=20, help="Inference steps (default: 20)")
parser.add_argument("--width", type=int, default=1024, help="Width in pixels (default: 1024)")
parser.add_argument("--height", type=int, default=1024, help="Height in pixels (default: 1024)")
parser.add_argument("--seed", type=int, default=-1, help="Seed (-1 = random)")
parser.add_argument("--count", type=int, default=1, help="Number of images (default: 1)")
parser.add_argument("--name", default="cli", help="Output filename prefix (default: cli)")
args = parser.parse_args()
for i in range(args.count):
if args.count > 1:
print(f"\n[{i+1}/{args.count}]")
seed = args.seed if args.seed != -1 else -1
generate(
prompt=args.prompt,
steps=args.steps,
width=args.width,
height=args.height,
seed=seed,
name=f"{args.name}_{i+1:02d}" if args.count > 1 else args.name,
)
if __name__ == "__main__":
main()
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#!/usr/bin/env python3
"""
FLUX Image Generator — Desktop GUI
Supports: FLUX.1 Schnell (fast) and FLUX.2 Klein Heretic (unrestricted)
Run: python3 gui.py
No external dependencies — stdlib + tkinter only.
"""
import json
import random
import threading
import time
import urllib.request
from pathlib import Path
import tkinter as tk
from tkinter import ttk, scrolledtext, messagebox
COMFYUI = "http://localhost:8188"
OUTPUT_DIR = Path.home() / "Pictures" / "mcp-generated"
WORKFLOWS_DIR = Path(__file__).parent / "src/workflows"
# ── Model definitions ────────────────────────────────────────────────────────
# Each entry defines how to patch the workflow for that model.
# node_pos / node_neg: CLIPTextEncode node IDs for positive/negative prompts
# node_latent: latent image node (for width/height)
# node_seed: where to write the seed value
# node_save: SaveImage node (for filename_prefix)
# node_steps: dict of {node_id: field} for steps — None if not patchable
MODELS = {
"FLUX.2 Klein Heretic (unrestricted)": {
"workflow": "flux2_klein_heretic.json",
"default_steps": 20,
"node_pos": ("2", "text"),
"node_neg": ("3", "text"),
"node_latent": ("6", "width", "height"),
"node_seed": ("10", "noise_seed"),
"node_steps": ("7", "steps"),
"node_save": ("13", "filename_prefix"),
"description": "FLUX.2 Klein 4B + Heretic abliterated encoder. ~50s/image. No refusals.",
},
"FLUX.1 Schnell (fast)": {
"workflow": "flux_schnell.json",
"default_steps": 4,
"node_pos": ("6", "text"),
"node_neg": ("33", "text"),
"node_latent": ("27", "width", "height"),
"node_seed": ("13", "seed"), # KSampler has seed directly
"node_steps": ("13", "steps"),
"node_save": ("9", "filename_prefix"),
"description": "FLUX.1 Schnell — fast (~5s/image), standard quality. Has safety filter.",
},
}
PRESETS = {
"Square 1024": (1024, 1024),
"Landscape 16:9": (1280, 720),
"Portrait 9:16": (720, 1280),
"Wide 3:2": (1536, 1024),
"Tall 2:3": (1024, 1536),
"BFL Wide 7:4": (1344, 768),
"BFL Tall 4:7": (768, 1344),
}
def load_workflow(filename):
with open(WORKFLOWS_DIR / filename) as f:
return json.load(f)
def patch_workflow(wf, spec, prompt, neg, width, height, steps, seed, name):
"""Apply generation parameters to a workflow dict in-place."""
node_pos_id, node_pos_field = spec["node_pos"]
node_neg_id, node_neg_field = spec["node_neg"]
lat_id, lat_w, lat_h = spec["node_latent"]
seed_id, seed_field = spec["node_seed"]
save_id, save_field = spec["node_save"]
wf[node_pos_id]["inputs"][node_pos_field] = prompt
wf[node_neg_id]["inputs"][node_neg_field] = neg
wf[lat_id]["inputs"][lat_w] = width
wf[lat_id]["inputs"][lat_h] = height
wf[seed_id]["inputs"][seed_field] = seed
wf[save_id]["inputs"][save_field] = name
if spec["node_steps"]:
steps_id, steps_field = spec["node_steps"]
wf[steps_id]["inputs"][steps_field] = steps
return wf
def submit_prompt(workflow):
data = json.dumps({"prompt": workflow}).encode()
req = urllib.request.Request(
f"{COMFYUI}/prompt", data=data,
headers={"Content-Type": "application/json"},
)
with urllib.request.urlopen(req, timeout=30) as resp:
return json.loads(resp.read())["prompt_id"]
def wait_for_image(prompt_id, timeout=300):
start = time.time()
while time.time() - start < timeout:
with urllib.request.urlopen(f"{COMFYUI}/history/{prompt_id}", timeout=10) as resp:
history = json.loads(resp.read())
if prompt_id in history:
for node_out in history[prompt_id].get("outputs", {}).values():
if "images" in node_out:
return node_out["images"][0]
return None
time.sleep(2)
raise TimeoutError("Timed out waiting for image")
def download_image(filename, subfolder=""):
url = f"{COMFYUI}/view?filename={filename}&subfolder={subfolder}&type=output"
with urllib.request.urlopen(url, timeout=30) as resp:
return resp.read()
class App(tk.Tk):
def __init__(self):
super().__init__()
self.title("FLUX Image Generator")
self.resizable(True, True)
self.minsize(760, 640)
self._current_image = None
self._build_ui()
def _build_ui(self):
main = ttk.Frame(self, padding=12)
main.pack(fill="both", expand=True)
main.columnconfigure(0, weight=1)
main.columnconfigure(1, weight=2)
# ── LEFT PANEL ───────────────────────────────────────────────────────
left = ttk.Frame(main)
left.grid(row=0, column=0, sticky="nsew", padx=(0, 8))
left.columnconfigure(0, weight=1)
row = 0
# Model selector
ttk.Label(left, text="Model", font=("", 10, "bold")).grid(
row=row, column=0, sticky="w"); row += 1
self.model_var = tk.StringVar(value=list(MODELS.keys())[0])
model_cb = ttk.Combobox(left, textvariable=self.model_var,
values=list(MODELS.keys()), state="readonly", width=40)
model_cb.grid(row=row, column=0, sticky="ew", pady=(2, 2)); row += 1
model_cb.bind("<<ComboboxSelected>>", self._on_model_change)
self.model_desc = ttk.Label(left, text="", foreground="gray",
wraplength=300, font=("", 8))
self.model_desc.grid(row=row, column=0, sticky="w", pady=(0, 8)); row += 1
# description updated after all widgets are created (see end of _build_ui)
# Prompt
ttk.Label(left, text="Prompt", font=("", 10, "bold")).grid(
row=row, column=0, sticky="w"); row += 1
self.prompt_txt = scrolledtext.ScrolledText(left, height=6, wrap="word", font=("", 10))
self.prompt_txt.grid(row=row, column=0, sticky="ew", pady=(2, 8)); row += 1
# Negative prompt
ttk.Label(left, text="Negative Prompt (optional)").grid(
row=row, column=0, sticky="w"); row += 1
self.neg_txt = scrolledtext.ScrolledText(left, height=3, wrap="word", font=("", 9))
self.neg_txt.grid(row=row, column=0, sticky="ew", pady=(2, 8)); row += 1
# Size preset
ttk.Label(left, text="Size Preset").grid(row=row, column=0, sticky="w"); row += 1
self.preset_var = tk.StringVar(value="Square 1024")
preset_cb = ttk.Combobox(left, textvariable=self.preset_var,
values=list(PRESETS.keys()), state="readonly")
preset_cb.grid(row=row, column=0, sticky="ew", pady=(2, 2)); row += 1
preset_cb.bind("<<ComboboxSelected>>", self._apply_preset)
# Width / Height
wh = ttk.Frame(left)
wh.grid(row=row, column=0, sticky="ew", pady=(4, 8)); row += 1
wh.columnconfigure(1, weight=1)
wh.columnconfigure(3, weight=1)
ttk.Label(wh, text="W").grid(row=0, column=0, padx=(0, 4))
self.width_var = tk.IntVar(value=1024)
ttk.Spinbox(wh, from_=256, to=4096, increment=8, textvariable=self.width_var,
width=6).grid(row=0, column=1, sticky="ew")
ttk.Label(wh, text="H", padding=(8, 0, 4, 0)).grid(row=0, column=2)
self.height_var = tk.IntVar(value=1024)
ttk.Spinbox(wh, from_=256, to=4096, increment=8, textvariable=self.height_var,
width=6).grid(row=0, column=3, sticky="ew")
# Steps
steps_row = ttk.Frame(left)
steps_row.grid(row=row, column=0, sticky="ew", pady=(0, 4)); row += 1
steps_row.columnconfigure(1, weight=1)
ttk.Label(steps_row, text="Steps").grid(row=0, column=0, padx=(0, 8))
self.steps_var = tk.IntVar(value=20)
self.steps_lbl = ttk.Label(steps_row, text="20", width=3)
self.steps_lbl.grid(row=0, column=2, padx=(6, 0))
ttk.Scale(steps_row, from_=1, to=60, variable=self.steps_var,
orient="horizontal",
command=lambda v: self.steps_lbl.config(text=str(int(float(v))))
).grid(row=0, column=1, sticky="ew")
# Count
count_row = ttk.Frame(left)
count_row.grid(row=row, column=0, sticky="ew", pady=(0, 8)); row += 1
count_row.columnconfigure(1, weight=1)
ttk.Label(count_row, text="Count").grid(row=0, column=0, padx=(0, 8))
self.count_var = tk.IntVar(value=1)
ttk.Spinbox(count_row, from_=1, to=20, textvariable=self.count_var,
width=4).grid(row=0, column=1, sticky="w")
# Seed
seed_row = ttk.Frame(left)
seed_row.grid(row=row, column=0, sticky="ew", pady=(0, 8)); row += 1
seed_row.columnconfigure(1, weight=1)
ttk.Label(seed_row, text="Seed").grid(row=0, column=0, padx=(0, 8))
self.seed_var = tk.StringVar(value="-1")
ttk.Entry(seed_row, textvariable=self.seed_var, width=12).grid(row=0, column=1, sticky="w")
ttk.Button(seed_row, text="🎲", width=3,
command=lambda: self.seed_var.set(str(random.randint(0, 2**32 - 1)))
).grid(row=0, column=2, padx=(4, 0))
ttk.Label(seed_row, text="(-1 = random)", foreground="gray"
).grid(row=0, column=3, padx=(4, 0))
# Name
name_row = ttk.Frame(left)
name_row.grid(row=row, column=0, sticky="ew", pady=(0, 12)); row += 1
name_row.columnconfigure(1, weight=1)
ttk.Label(name_row, text="Name").grid(row=0, column=0, padx=(0, 8))
self.name_var = tk.StringVar(value="img")
ttk.Entry(name_row, textvariable=self.name_var).grid(row=0, column=1, sticky="ew")
# Generate button
self.gen_btn = ttk.Button(left, text="⚡ Generate", command=self._start_generation)
self.gen_btn.grid(row=row, column=0, sticky="ew", pady=(0, 8)); row += 1
# Status + progress
self.status_var = tk.StringVar(value="Ready")
ttk.Label(left, textvariable=self.status_var, foreground="gray",
wraplength=300).grid(row=row, column=0, sticky="w"); row += 1
self.progress = ttk.Progressbar(left, mode="indeterminate")
self.progress.grid(row=row, column=0, sticky="ew", pady=(4, 0)); row += 1
# ── RIGHT PANEL — preview ────────────────────────────────────────────
right = ttk.LabelFrame(main, text="Preview", padding=8)
right.grid(row=0, column=1, sticky="nsew")
right.columnconfigure(0, weight=1)
right.rowconfigure(0, weight=1)
self.preview_lbl = ttk.Label(right, text="No image yet", anchor="center",
background="#1a1a1a", foreground="#888")
self.preview_lbl.grid(row=0, column=0, sticky="nsew")
self.path_lbl = ttk.Label(right, text="", foreground="gray", font=("", 8))
self.path_lbl.grid(row=1, column=0, sticky="w", pady=(4, 0))
ttk.Button(right, text="Open folder",
command=self._open_folder).grid(row=2, column=0, sticky="e", pady=(4, 0))
# Init model description + steps default now that all widgets exist
self._on_model_change()
def _on_model_change(self, _=None):
spec = MODELS[self.model_var.get()]
self.model_desc.config(text=spec["description"])
self.steps_var.set(spec["default_steps"])
self.steps_lbl.config(text=str(spec["default_steps"]))
def _apply_preset(self, _=None):
w, h = PRESETS[self.preset_var.get()]
self.width_var.set(w)
self.height_var.set(h)
def _start_generation(self):
prompt = self.prompt_txt.get("1.0", "end").strip()
if not prompt:
messagebox.showwarning("No prompt", "Please enter a prompt.")
return
self.gen_btn.config(state="disabled")
self.progress.start(10)
self.status_var.set("Generating…")
t = threading.Thread(target=self._run_generation, args=(prompt,), daemon=True)
t.start()
def _run_generation(self, prompt):
try:
neg = self.neg_txt.get("1.0", "end").strip()
steps = int(self.steps_var.get())
width = int(self.width_var.get())
height = int(self.height_var.get())
count = int(self.count_var.get())
name = self.name_var.get().strip() or "img"
seed_str = self.seed_var.get().strip()
base_seed = int(seed_str) if seed_str else -1
model_name = self.model_var.get()
spec = MODELS[model_name]
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
for i in range(count):
seed = (base_seed if base_seed == -1 else base_seed + i)
if seed == -1:
seed = random.randint(0, 2**32 - 1)
label = f"{name}_{i+1:02d}" if count > 1 else name
self.after(0, self.status_var.set,
f"[{i+1}/{count}] {model_name.split('(')[0].strip()} · seed {seed}")
wf = load_workflow(spec["workflow"])
patch_workflow(wf, spec, prompt, neg, width, height, steps, seed, label)
prompt_id = submit_prompt(wf)
img_info = wait_for_image(prompt_id)
if img_info:
img_data = download_image(img_info["filename"], img_info.get("subfolder", ""))
out_path = OUTPUT_DIR / f"{label}_{seed}.png"
out_path.write_bytes(img_data)
self.after(0, self._show_preview, out_path)
self.after(0, self.status_var.set,
f"✅ Done — {count} image(s) saved to ~/Pictures/mcp-generated/")
except Exception as exc:
self.after(0, self.status_var.set, f"❌ Error: {exc}")
finally:
self.after(0, self.progress.stop)
self.after(0, lambda: self.gen_btn.config(state="normal"))
def _show_preview(self, path):
try:
photo = tk.PhotoImage(file=str(path))
pw, ph = photo.width(), photo.height()
subsample = 1
while pw // subsample > 600 or ph // subsample > 600:
subsample += 1
if subsample > 1:
photo = photo.subsample(subsample, subsample)
self.preview_lbl.config(image=photo, text="")
self._current_image = photo
self.path_lbl.config(text=str(path))
except Exception as e:
self.status_var.set(f"Preview error: {e}")
def _open_folder(self):
import subprocess
subprocess.Popen(["xdg-open", str(OUTPUT_DIR)])
if __name__ == "__main__":
app = App()
app.mainloop()
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#!/usr/bin/env python3
"""
Patrick Hidden Name Artwork Generation Pipeline
Autonomous script to generate 26 ultra-detailed, visually rich digital artworks
where the name "PATRICK" is cleverly concealed within each composition.
Letters emerge organically from shapes, patterns, negative space, silhouettes,
alignment, or cumulative elements — never as plain text.
Visible only upon close inspection.
Uses the existing mcp-image-gen infrastructure (ComfyUI FLUX workflows).
Output organized in ~/Pictures/patrick_hidden_name/{theme}/{style}/
Usage:
cd /home/pplate/pi_mcps
python mcp/mcp-image-gen/patrick_hidden_gen.py
python mcp/mcp-image-gen/patrick_hidden_gen.py --dry-run
python mcp/mcp-image-gen/patrick_hidden_gen.py --model heretic
"""
import argparse
import copy
import json
import random
import time
import urllib.request
from pathlib import Path
from typing import Dict, List, Any, Optional
# --- Configuration ---
OUTPUT_ROOT = Path.home() / "Pictures" / "patrick_hidden_name"
PROGRESS_FILE = OUTPUT_ROOT / ".progress.json"
WORKFLOW_SCHNELL = Path(__file__).parent / "src/workflows/flux_schnell.json"
WORKFLOW_HERETIC = Path(__file__).parent / "src/workflows/flux2_klein_heretic.json"
# Core hidden-name prompting technique — applied to every asset
_HT = (
"the name PATRICK is cleverly and seamlessly concealed within the composition, "
"letters P-A-T-R-I-C-K emerge organically from shapes patterns negative space "
"silhouettes alignment or cumulative arrangement of multiple elements, "
"never plain text, subtle yet unmistakable once discovered, requires genuine "
"visual discovery and close inspection, natural integration into the scene, "
)
# Base quality boosters
_Q = "ultra-high detail, photorealistic rendering with cinematic lighting, intricate textures, depth of field, 8k resolution, masterpiece, best quality, "
ASSET_MANIFEST: List[Dict[str, Any]] = [
# 1. Dense crowds of marionette puppets — photoreal
{"id":"phn_01","theme":"marionettes","style":"photoreal","name":"marionette_crowd_puppets",
"prompt":_Q+_HT+"dense crowd of antique wooden marionette puppets on theatrical stage, "
"strings and body poses form PATRICK through negative space and limb alignment, "
"dramatic stage lighting with velvet curtains, realistic wood grain and fabric textures, "
"photorealistic cinematic","width":1024,"height":1024,"steps":4},
# 2. Marionettes — painterly
{"id":"phn_02","theme":"marionettes","style":"painterly","name":"marionette_theater_oil",
"prompt":_Q+_HT+"oil painting of crowded marionette theater, puppet strings and poses "
"form hidden PATRICK letters in composition, baroque style, rich colors, dramatic chiaroscuro "
"lighting, thick impasto brushwork","width":1024,"height":1024,"steps":20},
# 3. Birds — aerial formation
{"id":"phn_03","theme":"birds","style":"aerial","name":"bird_flock_formation",
"prompt":_Q+_HT+"aerial photograph of massive flock of starlings in precise murmuration, "
"bird silhouettes and gaps spell PATRICK through negative space and wing alignments, "
"golden hour light, vast sky, ultra realistic feathers and motion blur","width":1280,"height":720,"steps":4},
# 4. Birds — macro
{"id":"phn_04","theme":"birds","style":"macro","name":"bird_swarm_closeup",
"prompt":_Q+_HT+"macro photography of bird murmuration where individual bird silhouettes "
"and wing alignments subtly spell PATRICK, intricate feather detail, soft bokeh background, "
"extreme close focus","width":1024,"height":1024,"steps":4},
# 5. Tree roots — photoreal
{"id":"phn_05","theme":"tree_roots","style":"photoreal","name":"ancient_tree_roots",
"prompt":_Q+_HT+"ancient oak tree with massive tangled roots and branches that naturally "
"form letters PATRICK in their curves and intersections, forest floor moss and dappled sunlight, "
"hyper realistic bark texture, dramatic directional lighting","width":1024,"height":1024,"steps":4},
# 6. Tree roots — painterly
{"id":"phn_06","theme":"tree_roots","style":"painterly","name":"tree_root_illustration",
"prompt":_Q+_HT+"detailed botanical illustration of tree roots and branches forming hidden "
"PATRICK name through organic growth patterns, ink and watercolor, scientific accuracy with "
"artistic flair, John Muir style","width":1024,"height":1024,"steps":12},
# 7. School of fish
{"id":"phn_07","theme":"fish_school","style":"underwater","name":"fish_school_choreography",
"prompt":_Q+_HT+"underwater scene of thousands of tropical fish in synchronized school, "
"swimming patterns and gaps between bodies form PATRICK, crystal clear tropical water, "
"realistic scales and light caustics, underwater photography","width":1024,"height":1024,"steps":4},
# 8. Architecture — gothic facade
{"id":"phn_08","theme":"architecture","style":"architectural","name":"gothic_facade_hidden",
"prompt":_Q+_HT+"ornate gothic cathedral facade where windows arches and stone carvings "
"subtly align to spell PATRICK in negative space and shadow play, dramatic sunset lighting, "
"ultra detailed stone texture, architectural rendering","width":1024,"height":1024,"steps":4},
# 9. Architecture — aerial
{"id":"phn_09","theme":"architecture","style":"aerial","name":"modern_skyscraper_letters",
"prompt":_Q+_HT+"aerial view of modern city building complex where rooflines shadows and "
"window patterns form the hidden name PATRICK, golden hour, photorealistic architectural "
"rendering, top-down perspective","width":1280,"height":720,"steps":4},
# 10. Coral reef
{"id":"phn_10","theme":"coral_reef","style":"underwater","name":"vibrant_coral_reef",
"prompt":_Q+_HT+"vibrant coral reef ecosystem where branching coral fish and rock formations "
"naturally compose letters PATRICK through color and shape alignment, crystal water, "
"macro detail on polyps and textures, underwater photography","width":1024,"height":1024,"steps":4},
# 11. City skyline at night
{"id":"phn_11","theme":"city_skyline","style":"night","name":"neon_skyline_hidden",
"prompt":_Q+_HT+"futuristic city skyline at night where building lights and window patterns "
"subtly spell PATRICK in the neon glow and negative space between towers, cyberpunk atmosphere, "
"realistic reflections and bokeh, long exposure photography","width":1280,"height":720,"steps":4},
# 12. Rolling hills landscape
{"id":"phn_12","theme":"hills_landscape","style":"aerial","name":"rolling_hills_contours",
"prompt":_Q+_HT+"aerial view of rolling green hills and valleys where landscape contours "
"hedgerows and elevation shadows subtly form PATRICK, golden hour pastoral scene, "
"drone photography style","width":1280,"height":720,"steps":4},
# 13. Persian rug
{"id":"phn_13","theme":"persian_rug","style":"macro","name":"persian_rug_intricate",
"prompt":_Q+_HT+"extremely detailed close-up of hand-woven Persian rug where geometric and "
"floral patterns align to conceal name PATRICK in repeating motifs and negative space, "
"rich colors, silk texture, macro photography","width":1024,"height":1024,"steps":4},
# 14. Butterflies
{"id":"phn_14","theme":"butterflies","style":"painterly","name":"butterfly_swarm_metamorphosis",
"prompt":_Q+_HT+"swarm of colorful butterflies in flight where wing patterns and flight paths "
"collectively form hidden letters PATRICK, ethereal garden setting, detailed wing scales, "
"soft natural light, painterly illustration style","width":1024,"height":1024,"steps":12},
# 15. Circuit board
{"id":"phn_15","theme":"circuit_board","style":"macro","name":"circuit_board_traces",
"prompt":_Q+_HT+"extreme macro of complex multilayer circuit board where copper traces "
"solder points and component placement subtly spell PATRICK in wiring layout, "
"realistic metallic reflections, depth of field, technical precision","width":1024,"height":1024,"steps":4},
# 16. Ocean waves
{"id":"phn_16","theme":"ocean_waves","style":"photoreal","name":"crashing_waves_hidden",
"prompt":_Q+_HT+"dramatic crashing ocean waves where foam spray and wave crests align to "
"reveal name PATRICK in negative space and water movement, powerful seascape, "
"photorealistic water physics and light refraction","width":1280,"height":720,"steps":4},
# 17. Smoke and clouds
{"id":"phn_17","theme":"smoke_clouds","style":"painterly","name":"ethereal_smoke_clouds",
"prompt":_Q+_HT+"ethereal smoke and cloud formations in sky where swirling patterns and "
"negative space subtly spell PATRICK, dramatic volumetric lighting, painterly atmospheric "
"style, high detail turbulence and wisps","width":1024,"height":1024,"steps":12},
# 18. Dense jungle foliage
{"id":"phn_18","theme":"jungle_foliage","style":"macro","name":"dense_jungle_canopy",
"prompt":_Q+_HT+"dense tropical jungle foliage where leaves vines and light rays through "
"canopy form hidden name PATRICK through alignment and negative space, "
"ultra detailed leaf veins and moisture, macro realism","width":1024,"height":1024,"steps":4},
# 19. Roman mosaic
{"id":"phn_19","theme":"roman_mosaic","style":"architectural","name":"roman_mosaic_floor",
"prompt":_Q+_HT+"ancient Roman mosaic floor where thousands of tiny colored tiles arrange "
"to subtly hide name PATRICK in geometric pattern, realistic stone texture, "
"archaeological lighting, high detail tesserae","width":1024,"height":1024,"steps":4},
# 20. Military parade — aerial
{"id":"phn_20","theme":"military_parade","style":"aerial","name":"parade_formation_overhead",
"prompt":_Q+_HT+"aerial view of military parade formation where soldiers in perfect alignment "
"create letters PATRICK through their positions and shadows, crisp uniforms, "
"dramatic overhead perspective, photorealistic","width":1280,"height":720,"steps":4},
# 21. Stained glass
{"id":"phn_21","theme":"stained_glass","style":"architectural","name":"cathedral_stained_glass",
"prompt":_Q+_HT+"intricate stained glass window in gothic cathedral where lead lines and "
"colored glass panes form hidden name PATRICK through negative space and symbolic arrangement, "
"luminous backlighting, ultra detailed glass texture","width":1024,"height":1024,"steps":4},
# 22. Spider web
{"id":"phn_22","theme":"spider_web","style":"macro","name":"dew_spider_web_geometry",
"prompt":_Q+_HT+"macro photograph of perfect orb spider web with morning dew where radial "
"and spiral threads align to spell PATRICK in geometric structure, sparkling water droplets, "
"soft morning light, extreme detail","width":1024,"height":1024,"steps":4},
# 23. Galaxy star map
{"id":"phn_23","theme":"galaxy_stars","style":"cosmic","name":"star_map_constellation",
"prompt":_Q+_HT+"detailed star map of spiral galaxy where constellations and star clusters "
"subtly form letters PATRICK through their positions and connecting lines, "
"nebulae and cosmic dust, astronomical precision","width":1024,"height":1024,"steps":4},
# 24. Subway map
{"id":"phn_24","theme":"subway_map","style":"architectural","name":"subway_network_map",
"prompt":_Q+_HT+"highly detailed schematic subway tunnel map where intersecting colored lines "
"station markers and tunnel curves naturally spell name PATRICK in network layout, "
"clean diagrammatic style with realistic depth","width":1280,"height":720,"steps":4},
# 25. Marionettes — architectural rendering
{"id":"phn_25","theme":"marionettes","style":"architectural","name":"puppet_theater_stage",
"prompt":_Q+_HT+"architectural rendering of elaborate marionette theater stage where puppet "
"strings stage lights and scenery elements form hidden PATRICK, dramatic perspective, "
"ultra detailed wood and fabric","width":1024,"height":1024,"steps":4},
# 26. Birds — painterly
{"id":"phn_26","theme":"birds","style":"painterly","name":"bird_migration_painting",
"prompt":_Q+_HT+"painterly illustration of migrating bird flock where formation creates "
"concealed PATRICK letters, dramatic sky with volumetric clouds, rich oil painting texture, "
"romantic naturalist style","width":1024,"height":1024,"steps":20},
]
# ─────────────────────────────────────────────────────────
# Pipeline helpers (ported from cannamanage_gen.py)
# ─────────────────────────────────────────────────────────
def load_progress() -> Dict[str, Any]:
if PROGRESS_FILE.exists():
try:
with open(PROGRESS_FILE) as f:
return json.load(f)
except (json.JSONDecodeError, IOError):
pass
return {"completed": [], "failed": [], "started_at": time.strftime("%Y-%m-%dT%H:%M:%S")}
def save_progress(progress: Dict[str, Any]) -> None:
OUTPUT_ROOT.mkdir(parents=True, exist_ok=True)
with open(PROGRESS_FILE, "w") as f:
json.dump(progress, f, indent=2)
def load_workflow(model: str) -> Dict:
path = WORKFLOW_HERETIC if model == "heretic" else WORKFLOW_SCHNELL
with open(path) as f:
return json.load(f)
def submit_prompt(comfyui_url: str, workflow: Dict) -> str:
data = json.dumps({"prompt": workflow}).encode()
req = urllib.request.Request(
f"{comfyui_url}/prompt", data=data, headers={"Content-Type": "application/json"}
)
with urllib.request.urlopen(req) as resp:
return json.loads(resp.read())["prompt_id"]
def wait_for_image(comfyui_url: str, prompt_id: str, timeout: int = 300) -> Optional[Dict]:
print(" ⏳ Waiting for ComfyUI...", end="", flush=True)
start = time.time()
while time.time() - start < timeout:
try:
with urllib.request.urlopen(f"{comfyui_url}/history/{prompt_id}") as resp:
history = json.loads(resp.read())
if prompt_id in history:
print(" done.", flush=True)
outputs = history[prompt_id].get("outputs", {})
for node_out in outputs.values():
if "images" in node_out:
return node_out["images"][0]
return None
except Exception:
pass
print(".", end="", flush=True)
time.sleep(2)
print(" timeout!", flush=True)
return None
def download_image(comfyui_url: str, image_info: Dict, output_path: Path) -> bool:
try:
url = (
f"{comfyui_url}/view"
f"?filename={image_info['filename']}"
f"&subfolder={image_info.get('subfolder', '')}"
f"&type=output"
)
with urllib.request.urlopen(url) as resp:
img_data = resp.read()
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_bytes(img_data)
print(f" ✅ Saved: {output_path} ({len(img_data) // 1024}KB)")
return True
except Exception as e:
print(f" ❌ Download failed: {e}")
return False
def patch_workflow(workflow: Dict, asset: Dict, model: str) -> Dict:
wf = copy.deepcopy(workflow)
seed = random.randint(0, 2**32 - 1)
if model == "heretic":
wf["2"]["inputs"]["text"] = asset["prompt"]
wf["3"]["inputs"]["text"] = "plain text letters, obvious text overlay, watermark, low quality"
wf["6"]["inputs"]["width"] = asset["width"]
wf["6"]["inputs"]["height"] = asset["height"]
wf["7"]["inputs"]["steps"] = asset["steps"]
wf["13"]["inputs"]["filename_prefix"] = asset["name"]
if "10" in wf:
wf["10"]["inputs"]["noise_seed"] = seed
else:
# flux_schnell.json: node 6=pos, 33=neg, 27=latent(w/h), 13=ksampler(steps/seed), 9=save
wf["6"]["inputs"]["text"] = asset["prompt"]
wf["33"]["inputs"]["text"] = "plain text letters, obvious text overlay, watermark, low quality"
wf["27"]["inputs"]["width"] = asset["width"]
wf["27"]["inputs"]["height"] = asset["height"]
wf["13"]["inputs"]["steps"] = asset["steps"]
wf["13"]["inputs"]["seed"] = seed
wf["9"]["inputs"]["filename_prefix"] = asset["name"]
return wf
def generate_asset(comfyui_url: str, asset: Dict, model: str, progress: Dict) -> bool:
if asset["id"] in progress["completed"]:
print(f" ⏭️ Skipping already completed: {asset['name']}")
return True
print(f"\n Prompt : {asset['prompt'][:100]}...")
print(f" Size : {asset['width']}×{asset['height']} Steps: {asset['steps']}")
try:
workflow = load_workflow(model)
workflow = patch_workflow(workflow, asset, model)
prompt_id = submit_prompt(comfyui_url, workflow)
image_info = wait_for_image(comfyui_url, prompt_id)
if not image_info:
progress["failed"].append(asset["id"])
save_progress(progress)
return False
output_dir = OUTPUT_ROOT / asset["theme"] / asset["style"]
output_dir.mkdir(parents=True, exist_ok=True)
output_path = output_dir / f"{asset['name']}.png"
if download_image(comfyui_url, image_info, output_path):
progress["completed"].append(asset["id"])
save_progress(progress)
return True
else:
progress["failed"].append(asset["id"])
save_progress(progress)
return False
except Exception as e:
print(f" ❌ Error: {e}")
progress["failed"].append(asset["id"])
save_progress(progress)
return False
def main():
parser = argparse.ArgumentParser(
description="Patrick Hidden Name Artwork Generation Pipeline"
)
parser.add_argument("--dry-run", action="store_true",
help="Print manifest without generating")
parser.add_argument("--model", choices=["schnell", "heretic"], default="schnell",
help="Model: schnell (~10s/img) or heretic (~52s/img, higher quality)")
parser.add_argument("--comfyui", default="http://localhost:8188",
help="ComfyUI URL")
args = parser.parse_args()
comfyui_url = args.comfyui
print("🚀 Patrick Hidden Name Artwork Pipeline")
print(f" Output : {OUTPUT_ROOT}")
print(f" Model : {args.model}")
print(f" ComfyUI : {comfyui_url}")
print(f" Total : {len(ASSET_MANIFEST)} ultra-detailed hidden-name artworks")
print(" Technique: Letters P-A-T-R-I-C-K concealed via organic shapes/negative space")
if args.dry_run:
print()
for asset in ASSET_MANIFEST:
print(f" {asset['id']:8} | {asset['theme']:15} | {asset['style']:12} | {asset['name']}")
total_est = sum(a["steps"] * 2.5 for a in ASSET_MANIFEST) / 60
print(f"\n ⏱️ Estimated runtime (schnell @4 steps): ~{total_est:.0f} minutes")
print("\nDry run complete. Remove --dry-run to begin generation.")
return
progress = load_progress()
remaining = [a for a in ASSET_MANIFEST if a["id"] not in progress["completed"]]
print(f" Resume : {len(progress['completed'])} completed, "
f"{len(progress['failed'])} failed, {len(remaining)} remaining")
if not remaining:
print("\n✅ All assets already complete!")
return
print(f"\nStarting generation... (Ctrl+C to pause — progress is saved)")
n_done = 0
n_fail = 0
for i, asset in enumerate(ASSET_MANIFEST, 1):
if asset["id"] in progress["completed"]:
continue
print(f"\n[{asset['theme']}/{asset['style']}] [{i}/{len(ASSET_MANIFEST)}] {asset['name']}")
if generate_asset(comfyui_url, asset, args.model, progress):
n_done += 1
else:
n_fail += 1
print("\n" + "=" * 60)
print("🎉 PIPELINE COMPLETE")
print(f" ✅ Completed this run : {n_done}")
print(f" ❌ Failed this run : {n_fail}")
print(f" 📦 Total completed : {len(progress['completed'])} / {len(ASSET_MANIFEST)}")
if progress["failed"]:
print(f" Failed IDs: {', '.join(progress['failed'][-10:])}")
print(f" Assets saved to: {OUTPUT_ROOT}")
print("=" * 60)
if __name__ == "__main__":
main()
+329 -83
View File
@@ -4,15 +4,23 @@ import asyncio
import base64
import copy
import json
import logging
import os
import random
import re
import subprocess
import time
from contextlib import asynccontextmanager
from datetime import datetime
from pathlib import Path
from typing import Annotated
import httpx
from fastmcp import FastMCP
from mcp.types import ImageContent, TextContent
from pydantic import Field
logger = logging.getLogger("mcp-image-gen")
# ---------------------------------------------------------------------------
# Configuration
@@ -22,10 +30,118 @@ COMFYUI_URL = os.environ.get("COMFYUI_URL", "http://localhost:8188").rstrip("/")
IMAGE_OUTPUT_DIR = os.environ.get("IMAGE_OUTPUT_DIR", "~/Pictures/mcp-generated")
COMFYUI_TIMEOUT = int(os.environ.get("COMFYUI_TIMEOUT", "120"))
# Path to the bundled FLUX.1-schnell workflow template
_WORKFLOW_PATH = Path(__file__).parent / "workflows" / "flux_schnell.json"
# Directory where ComfyUI is installed (used for auto-start only)
# Override via COMFYUI_DIR env var. Systemd service sets this automatically.
COMFYUI_DIR = Path(
os.environ.get("COMFYUI_DIR", "~/ComfyUI")
).expanduser().resolve()
mcp = FastMCP("mcp-image-gen")
# Maximum number of images allowed in a single batch call
MAX_COUNT = 10
# Workflow registry: model filename → workflow JSON path
# This allows us to support multiple models (FLUX.1-schnell + FLUX.2 Klein with Heretic encoder)
_WORKFLOW_REGISTRY: dict[str, Path] = {
"flux1-schnell.safetensors": Path(__file__).parent / "workflows" / "flux_schnell.json",
"flux-2-klein-4b.safetensors": Path(__file__).parent / "workflows" / "flux2_klein_heretic.json",
}
_DEFAULT_MODEL = "flux1-schnell.safetensors"
# ---------------------------------------------------------------------------
# ComfyUI health check + auto-start
# ---------------------------------------------------------------------------
async def _ping_comfyui(url: str, timeout: float = 5.0) -> bool:
"""Return True if ComfyUI is reachable at *url*/system_stats."""
try:
async with httpx.AsyncClient(timeout=timeout) as client:
resp = await client.get(f"{url}/system_stats")
return resp.status_code == 200
except (httpx.ConnectError, httpx.TimeoutException, OSError):
return False
async def check_and_start_comfyui() -> None:
"""Ping ComfyUI; if not reachable, attempt to launch it as a subprocess.
Called once at server startup from the lifespan context manager.
Uses COMFYUI_DIR to locate the installation and its venv Python.
The HSA_OVERRIDE_GFX_VERSION=11.0.0 env var is injected automatically
for AMD ROCm / RX 7900 XTX compatibility.
"""
if await _ping_comfyui(COMFYUI_URL):
logger.info("ComfyUI is already running at %s", COMFYUI_URL)
return
logger.warning(
"ComfyUI not reachable at %s — attempting to start from %s",
COMFYUI_URL, COMFYUI_DIR,
)
python = COMFYUI_DIR / ".venv" / "bin" / "python"
main_py = COMFYUI_DIR / "main.py"
if not python.exists():
logger.error(
"ComfyUI venv Python not found at %s. "
"Install ComfyUI first (see docs/wiki/pages/mcp-image-gen-ComfyUI-Setup.md).",
python,
)
return
if not main_py.exists():
logger.error(
"ComfyUI main.py not found at %s — is COMFYUI_DIR correct?",
main_py,
)
return
# Build environment: inherit current env, set ROCm override for AMD RX 7900 XTX
env = os.environ.copy()
env.setdefault("HSA_OVERRIDE_GFX_VERSION", "11.0.0")
try:
proc = subprocess.Popen(
[str(python), str(main_py), "--listen", "--port", "8188"],
cwd=str(COMFYUI_DIR),
env=env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
start_new_session=True, # detach from MCP server process group
)
logger.info("ComfyUI launched (PID %d) — waiting for readiness…", proc.pid)
except OSError as exc:
logger.error("Failed to start ComfyUI subprocess: %s", exc)
return
# Wait up to 30 s for ComfyUI to become ready (polls every 2 s)
wait_limit = 30
for attempt in range(wait_limit // 2):
await asyncio.sleep(2)
if await _ping_comfyui(COMFYUI_URL):
logger.info(
"ComfyUI ready at %s after ~%ds ✓", COMFYUI_URL, (attempt + 1) * 2
)
return
logger.warning(
"ComfyUI did not respond within %ds. "
"Generation calls will fail until it is ready. "
"Check logs: journalctl --user -u comfyui -f",
wait_limit,
)
@asynccontextmanager
async def lifespan(app):
"""FastMCP lifespan: run ComfyUI health check at server startup."""
await check_and_start_comfyui()
yield # server is live here
# Nothing to tear down — ComfyUI is managed by systemd, not this process
mcp = FastMCP("mcp-image-gen", lifespan=lifespan)
# ---------------------------------------------------------------------------
@@ -71,21 +187,37 @@ class ComfyUIClient:
return resp.content
async def get_models(self) -> list[str]:
"""Return the list of available checkpoint model filenames."""
async with httpx.AsyncClient(timeout=10.0) as client:
resp = await client.get(
f"{self.base_url}/object_info/CheckpointLoaderSimple"
)
resp.raise_for_status()
data = resp.json()
# ComfyUI returns: {"CheckpointLoaderSimple": {"input": {"required": {"ckpt_name": [["model1.safetensors", ...], ...]}}}}
node_info = data.get("CheckpointLoaderSimple", {})
ckpt_list = (
node_info.get("input", {})
.get("required", {})
.get("ckpt_name", [[]])[0]
)
return ckpt_list if isinstance(ckpt_list, list) else []
"""Return the list of available checkpoint model filenames.
Combines models known to ComfyUI with our internal registry
(including FLUX.2 Klein with Heretic encoder).
"""
models = set()
# Get models from ComfyUI
try:
async with httpx.AsyncClient(timeout=10.0) as client:
resp = await client.get(
f"{self.base_url}/object_info/CheckpointLoaderSimple"
)
resp.raise_for_status()
data = resp.json()
node_info = data.get("CheckpointLoaderSimple", {})
ckpt_list = (
node_info.get("input", {})
.get("required", {})
.get("ckpt_name", [[]])[0]
)
if isinstance(ckpt_list, list):
models.update(ckpt_list)
except Exception:
# ComfyUI not reachable — fall back to registry only
pass
# Add our registered models
models.update(_WORKFLOW_REGISTRY.keys())
return sorted(list(models))
# ---------------------------------------------------------------------------
@@ -99,73 +231,111 @@ def build_flux_workflow(
height: int,
steps: int,
seed: int,
model: str,
model: str = _DEFAULT_MODEL,
) -> dict:
"""Build a ComfyUI API-format workflow dict for FLUX.1-schnell text-to-image.
"""Build a ComfyUI API-format workflow dict for the requested model.
This is a pure function — no I/O, fully testable.
Supports:
- "flux1-schnell.safetensors" (original)
- "flux-2-klein-4b-fp8.safetensors" (with Heretic-abliterated Qwen3-4B text encoder)
Falls back to FLUX.1-schnell if model is unknown.
This is a pure function — no I/O outside the registry, fully testable.
"""
with open(_WORKFLOW_PATH) as f:
wf = json.load(f)
wf = copy.deepcopy(wf)
workflow_path = _WORKFLOW_REGISTRY.get(model, _WORKFLOW_REGISTRY[_DEFAULT_MODEL])
# Load workflow as text first — replace string placeholders
raw = workflow_path.read_text()
actual_seed = seed if seed != -1 else random.randint(0, 2**32 - 1)
wf["6"]["inputs"]["text"] = prompt
wf["33"]["inputs"]["text"] = neg_prompt
wf["27"]["inputs"]["width"] = width
wf["27"]["inputs"]["height"] = height
wf["13"]["inputs"]["steps"] = steps
wf["13"]["inputs"]["seed"] = actual_seed
# Node 32 = UNETLoader (flux1-schnell.safetensors is UNet-only, not all-in-one checkpoint)
wf["32"]["inputs"]["unet_name"] = model
raw = raw.replace('"PROMPT_PLACEHOLDER"', json.dumps(prompt))
raw = raw.replace('"NEGATIVE_PLACEHOLDER"', json.dumps(neg_prompt))
wf = json.loads(raw)
wf = copy.deepcopy(wf)
# Recursively inject numeric values into matching field names
_inject_workflow_params(wf, {
"width": width,
"height": height,
"steps": steps,
"seed": actual_seed,
"noise_seed": actual_seed,
"unet_name": model,
})
# Attach the actual seed as metadata so callers can retrieve it
wf["_meta"] = {"actual_seed": actual_seed}
return wf
# ---------------------------------------------------------------------------
# Tools
# ---------------------------------------------------------------------------
def _inject_workflow_params(node: dict | list, params: dict) -> None:
"""Recursively walk a workflow dict/list and inject parameter values.
@mcp.tool()
async def generate_image(
prompt: str,
width: int = 1024,
height: int = 1024,
steps: int = 4,
model: str = "flux1-schnell.safetensors",
seed: int = -1,
negative_prompt: str = "",
output_dir: str = "",
) -> list:
"""Generate an image from a text prompt using ComfyUI.
Returns both a file path (for persistence) and an inline base64 image
(for display in Claude / Roo Code chat).
Args:
prompt: Text description of the image to generate.
width: Image width in pixels (default: 1024).
height: Image height in pixels (default: 1024).
steps: Number of inference steps. FLUX.1-schnell works well at 4.
model: ComfyUI model filename (default: flux1-schnell.safetensors).
seed: Random seed for reproducibility. -1 = random.
negative_prompt: Things to exclude from the image (optional).
output_dir: Override output directory. Defaults to IMAGE_OUTPUT_DIR env var
or ~/Pictures/mcp-generated.
Returns:
[TextContent(path + metadata), ImageContent(base64 PNG)]
For each dict encountered, if it has an "inputs" sub-dict, update
any matching field names from params. This is model-agnostic and
works regardless of ComfyUI node IDs.
"""
# Resolve output directory
resolved_output_dir = Path(
output_dir or IMAGE_OUTPUT_DIR
).expanduser().resolve()
if isinstance(node, dict):
if "inputs" in node and isinstance(node["inputs"], dict):
for key, value in params.items():
if key in node["inputs"] and not isinstance(node["inputs"][key], list):
node["inputs"][key] = value
for v in node.values():
_inject_workflow_params(v, params)
elif isinstance(node, list):
for item in node:
_inject_workflow_params(item, params)
client = ComfyUIClient(COMFYUI_URL)
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _sanitize_name(name: str) -> str:
"""Sanitize a user-provided name for safe use in filenames.
Replaces whitespace with underscores, strips any characters that are not
alphanumeric, underscores, or hyphens, and collapses consecutive
underscores/hyphens. Returns empty string if nothing usable remains.
"""
name = name.strip()
name = re.sub(r"\s+", "_", name) # spaces → underscores
name = re.sub(r"[^\w\-]", "", name) # strip non-alphanum/underscore/hyphen
name = re.sub(r"[_\-]{2,}", "_", name) # collapse runs
name = name.strip("_-") # trim leading/trailing separators
return name[:64] # cap at 64 chars
def _build_filename(name: str, timestamp: str, actual_seed: int) -> str:
"""Build an output filename from optional name, timestamp and seed."""
sanitized = _sanitize_name(name)
if sanitized:
return f"{sanitized}_{timestamp}_{actual_seed}.png"
return f"{timestamp}_{actual_seed}.png"
async def _generate_single(
client: ComfyUIClient,
prompt: str,
negative_prompt: str,
width: int,
height: int,
steps: int,
seed: int,
model: str,
resolved_output_dir: Path,
name: str,
label: str,
) -> list:
"""Generate a single image and return [TextContent, ImageContent] or [TextContent] on error.
Supports two models:
- flux1-schnell.safetensors (default, fast 4-step)
- flux-2-klein-4b.safetensors (with Heretic-abliterated Qwen3-4B text encoder — no refusals)
"""
if model not in _WORKFLOW_REGISTRY:
model = _DEFAULT_MODEL
logger.warning("Unknown model %s, falling back to %s", model, _DEFAULT_MODEL)
# Build and submit workflow
try:
workflow = build_flux_workflow(
@@ -178,14 +348,13 @@ async def generate_image(
model=model,
)
actual_seed = workflow["_meta"]["actual_seed"]
prompt_id = await client.queue_prompt(workflow)
except httpx.ConnectError:
return [
TextContent(
type="text",
text=(
f"ComfyUI not reachable at {COMFYUI_URL}. "
f"{label} ComfyUI not reachable at {COMFYUI_URL}. "
"Start it with: python main.py --listen"
),
)
@@ -194,7 +363,7 @@ async def generate_image(
return [
TextContent(
type="text",
text=f"ComfyUI returned an error: {e.response.status_code}{e.response.text}",
text=f"{label} ComfyUI returned an error: {e.response.status_code}{e.response.text}",
)
]
@@ -207,7 +376,7 @@ async def generate_image(
TextContent(
type="text",
text=(
f"Generation timed out after {COMFYUI_TIMEOUT}s. "
f"{label} Generation timed out after {COMFYUI_TIMEOUT}s. "
f"prompt_id={prompt_id} — use get_generation_status to check"
),
)
@@ -236,7 +405,7 @@ async def generate_image(
return [
TextContent(
type="text",
text=f"Failed to retrieve generation history: {e}",
text=f"{label} Failed to retrieve generation history: {e}",
)
]
@@ -255,7 +424,7 @@ async def generate_image(
return [
TextContent(
type="text",
text=f"No output image found in history for prompt_id={prompt_id}",
text=f"{label} No output image found in history for prompt_id={prompt_id}",
)
]
@@ -270,7 +439,7 @@ async def generate_image(
return [
TextContent(
type="text",
text=f"Failed to download generated image: {e}",
text=f"{label} Failed to download generated image: {e}",
)
]
@@ -278,14 +447,14 @@ async def generate_image(
try:
resolved_output_dir.mkdir(parents=True, exist_ok=True)
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
filename = f"{timestamp}_{actual_seed}.png"
filename = _build_filename(name, timestamp, actual_seed)
out_path = resolved_output_dir / filename
out_path.write_bytes(image_bytes)
except OSError as e:
return [
TextContent(
type="text",
text=f"Cannot write to output directory: {resolved_output_dir}{e}",
text=f"{label} Cannot write to output directory: {resolved_output_dir}{e}",
)
]
@@ -296,7 +465,7 @@ async def generate_image(
TextContent(
type="text",
text=(
f"Generated: {out_path}\n"
f"{label} Generated: {out_path}\n"
f"Seed: {actual_seed}\n"
f"Elapsed: {elapsed:.1f}s\n"
f"Size: {width}x{height}, Steps: {steps}, Model: {model}"
@@ -310,6 +479,84 @@ async def generate_image(
]
# ---------------------------------------------------------------------------
# Tools
# ---------------------------------------------------------------------------
@mcp.tool()
async def generate_image(
prompt: Annotated[str, Field(description="Text description of the image to generate.")],
width: Annotated[int, Field(description="Image width in pixels (default: 1024).")] = 1024,
height: Annotated[int, Field(description="Image height in pixels (default: 1024).")] = 1024,
steps: Annotated[int, Field(description="Number of inference steps. FLUX.1-schnell works well at 4.")] = 4,
model: Annotated[str, Field(description="ComfyUI model filename (default: flux1-schnell.safetensors).")] = "flux1-schnell.safetensors",
seed: Annotated[int, Field(description="Random seed for reproducibility. -1 = random. When count > 1 and seed != -1, seeds are incremented per image (seed, seed+1, seed+2, ...) to produce deterministic variation.")] = -1,
negative_prompt: Annotated[str, Field(description="Things to exclude from the image (optional).")] = "",
output_dir: Annotated[str, Field(description="Override output directory. Defaults to IMAGE_OUTPUT_DIR env var or ~/Pictures/mcp-generated.")] = "",
name: Annotated[str, Field(description="Optional filename prefix. Saved as {name}_{timestamp}_{seed}.png. Useful to avoid confusion with auto-generated timestamp filenames.")] = "",
count: Annotated[int, Field(description="Number of images to generate (110). Each image is generated sequentially. Partial failures are returned inline — the batch continues even if one image fails.")] = 1,
) -> list:
"""Generate an image from a text prompt using ComfyUI.
Returns both a file path (for persistence) and an inline base64 image
(for display in Claude / Roo Code chat).
Returns:
Flat interleaved list: [TextContent1, ImageContent1, TextContent2, ImageContent2, ...]
On error for any single image, that slot contains only [TextContent(error)].
"""
# Validate count
if count < 1:
return [
TextContent(
type="text",
text=f"count must be at least 1 (got {count}).",
)
]
if count > MAX_COUNT:
return [
TextContent(
type="text",
text=f"count must be at most {MAX_COUNT} (got {count}). Use multiple calls for larger batches.",
)
]
# Resolve output directory once
resolved_output_dir = Path(
output_dir or IMAGE_OUTPUT_DIR
).expanduser().resolve()
client = ComfyUIClient(COMFYUI_URL)
results = []
for i in range(1, count + 1):
# Compute seed for this image:
# - seed=-1 → each image gets an independent random seed
# - fixed seed → increment by i-1 for deterministic variation across the batch
image_seed = seed if seed == -1 else seed + (i - 1)
label = f"[{_sanitize_name(name) or 'image'} {i}/{count}]" if count > 1 else (
f"[{_sanitize_name(name)}]" if _sanitize_name(name) else ""
)
single_result = await _generate_single(
client=client,
prompt=prompt,
negative_prompt=negative_prompt,
width=width,
height=height,
steps=steps,
seed=image_seed,
model=model,
resolved_output_dir=resolved_output_dir,
name=name,
label=label,
)
results.extend(single_result)
return results
@mcp.tool()
async def list_available_models() -> list[str]:
"""List all checkpoint models available in ComfyUI.
@@ -330,12 +577,11 @@ async def list_available_models() -> list[str]:
@mcp.tool()
async def get_generation_status(prompt_id: str) -> dict:
async def get_generation_status(
prompt_id: Annotated[str, Field(description="The prompt ID returned by a previous generate_image call.")],
) -> dict:
"""Check the status of a queued or running generation job.
Args:
prompt_id: The prompt ID returned by a previous generate_image call.
Returns:
Dict with 'status' key: "pending", "running", "completed", or "not_found".
"""
@@ -0,0 +1,98 @@
{
"1": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "qwen_3_4b_klein.safetensors",
"type": "flux2",
"device": "default"
}
},
"2": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": ["1", 0],
"text": "PROMPT_PLACEHOLDER"
}
},
"3": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": ["1", 0],
"text": "NEGATIVE_PLACEHOLDER"
}
},
"4": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "flux-2-klein-4b.safetensors",
"weight_dtype": "default"
}
},
"5": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "flux2-vae.safetensors"
}
},
"6": {
"class_type": "EmptyFlux2LatentImage",
"inputs": {
"width": 1024,
"height": 1024,
"batch_size": 1
}
},
"7": {
"class_type": "Flux2Scheduler",
"inputs": {
"steps": 20,
"width": 1024,
"height": 1024
}
},
"8": {
"class_type": "CFGGuider",
"inputs": {
"model": ["4", 0],
"positive": ["2", 0],
"negative": ["3", 0],
"cfg": 5
}
},
"9": {
"class_type": "KSamplerSelect",
"inputs": {
"sampler_name": "euler"
}
},
"10": {
"class_type": "RandomNoise",
"inputs": {
"noise_seed": 42
}
},
"11": {
"class_type": "SamplerCustomAdvanced",
"inputs": {
"noise": ["10", 0],
"guider": ["8", 0],
"sampler": ["9", 0],
"sigmas": ["7", 0],
"latent_image": ["6", 0]
}
},
"12": {
"class_type": "VAEDecode",
"inputs": {
"samples": ["11", 0],
"vae": ["5", 0]
}
},
"13": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "mcp-image-gen",
"images": ["12", 0]
}
}
}
+375 -5
View File
@@ -14,6 +14,8 @@ import respx
import server
from server import (
ComfyUIClient,
_build_filename,
_sanitize_name,
build_flux_workflow,
generate_image,
get_generation_status,
@@ -29,7 +31,7 @@ COMFYUI_BASE = "http://test-comfyui:8188"
# ---------------------------------------------------------------------------
def test_build_flux_workflow_structure():
"""Verify build_flux_workflow returns a dict with correct node types."""
"""Verify build_flux_workflow returns a dict with correct node types for default model."""
wf = build_flux_workflow(
prompt="a red cat",
neg_prompt="ugly",
@@ -50,6 +52,56 @@ def test_build_flux_workflow_structure():
assert wf["33"]["class_type"] == "CLIPTextEncode"
def test_build_flux_workflow_heretic_model():
"""Verify FLUX.2 Klein 4B with Heretic Qwen3-4B encoder uses correct nodes."""
wf = build_flux_workflow(
prompt="a red cat",
neg_prompt="ugly",
width=1024,
height=1024,
steps=4,
seed=42,
model="flux-2-klein-4b.safetensors",
)
# New FLUX.2 workflow uses different node IDs and types
assert wf["1"]["class_type"] == "CLIPLoader" # Qwen3-4B uses single CLIPLoader
assert wf["1"]["inputs"]["type"] == "flux2" # correct type for FLUX.2
assert wf["1"]["inputs"]["device"] == "default" # required for FLUX.2 CLIPLoader
assert wf["1"]["inputs"]["clip_name"] == "qwen_3_4b_klein.safetensors" # Comfy-Org/vae-text-encorder-for-flux-klein-4b
assert wf["2"]["class_type"] == "CLIPTextEncode" # standard CLIP encode (not Flux-specific)
assert wf["4"]["class_type"] == "UNETLoader"
assert wf["4"]["inputs"]["unet_name"] == "flux-2-klein-4b.safetensors"
assert wf["4"]["inputs"]["weight_dtype"] == "default" # not fp8 — avoids dimension errors
assert wf["6"]["class_type"] == "EmptyFlux2LatentImage" # FLUX.2-specific latent
assert wf["8"]["class_type"] == "CFGGuider" # CFGGuider replaces FluxDisableGuidance+BasicGuider
assert wf["8"]["inputs"]["cfg"] == 5 # cfg=5 for FLUX.2 Klein
assert wf["11"]["class_type"] == "SamplerCustomAdvanced" # FLUX.2 sampler (node 11, not 12)
assert wf["13"]["class_type"] == "SaveImage" # output node
def test_workflow_registry_contains_both_models():
"""Verify the registry contains both supported models."""
assert "flux1-schnell.safetensors" in server._WORKFLOW_REGISTRY
assert "flux-2-klein-4b.safetensors" in server._WORKFLOW_REGISTRY
assert len(server._WORKFLOW_REGISTRY) == 2
def test_workflow_registry_fallback():
"""Unknown model falls back to default (FLUX.1-schnell)."""
wf = build_flux_workflow(
prompt="test",
neg_prompt="",
width=512,
height=512,
steps=4,
seed=42,
model="unknown-model.safetensors",
)
# Should have used default workflow (DualCLIPLoader)
assert wf["30"]["class_type"] == "DualCLIPLoader"
assert wf["32"]["inputs"]["unet_name"] == "unknown-model.safetensors"
def test_build_flux_workflow_params_injected():
"""Verify all parameters are injected into correct nodes."""
wf = build_flux_workflow(
@@ -100,6 +152,74 @@ def test_random_seed_generated():
assert "_meta" in wf2
# ---------------------------------------------------------------------------
# _sanitize_name — pure function
# ---------------------------------------------------------------------------
def test_sanitize_name_basic():
"""Simple alphanumeric name passes through unchanged."""
assert _sanitize_name("lumen_profile") == "lumen_profile"
def test_sanitize_name_spaces_to_underscores():
"""Spaces are converted to underscores."""
assert _sanitize_name("my cool image") == "my_cool_image"
def test_sanitize_name_special_chars_stripped():
"""Special characters (!, @, #, etc.) are stripped."""
result = _sanitize_name("hello! world@2024#")
assert "!" not in result
assert "@" not in result
assert "#" not in result
assert "hello" in result
assert "world" in result
def test_sanitize_name_empty_returns_empty():
"""Empty string or whitespace-only returns empty string."""
assert _sanitize_name("") == ""
assert _sanitize_name(" ") == ""
def test_sanitize_name_collapse_underscores():
"""Multiple consecutive underscores/hyphens are collapsed to one."""
result = _sanitize_name("lumen__profile")
assert "__" not in result
def test_sanitize_name_truncates_at_64():
"""Names longer than 64 chars are truncated."""
long_name = "a" * 100
result = _sanitize_name(long_name)
assert len(result) <= 64
# ---------------------------------------------------------------------------
# _build_filename — pure function
# ---------------------------------------------------------------------------
def test_build_filename_with_name():
"""When name is provided, filename includes it as prefix."""
filename = _build_filename("lumen", "20260406_120000", 12345)
assert filename == "lumen_20260406_120000_12345.png"
def test_build_filename_without_name():
"""When name is empty, filename is timestamp_seed.png."""
filename = _build_filename("", "20260406_120000", 12345)
assert filename == "20260406_120000_12345.png"
assert not filename.startswith("_")
def test_build_filename_sanitizes_name():
"""Name with spaces and special chars is sanitized before use in filename."""
filename = _build_filename("my image!", "20260406_120000", 99)
assert "!" not in filename
assert "my_image" in filename
assert filename.endswith("_20260406_120000_99.png")
# ---------------------------------------------------------------------------
# list_available_models
# ---------------------------------------------------------------------------
@@ -132,14 +252,16 @@ async def test_list_available_models():
@respx.mock
@pytest.mark.asyncio
async def test_list_available_models_comfyui_offline():
"""When ComfyUI is unreachable, list_available_models returns error message."""
"""When ComfyUI is unreachable, list_available_models falls back to registry models."""
respx.get(f"{COMFYUI_BASE}/object_info/CheckpointLoaderSimple").mock(
side_effect=httpx.ConnectError("connection refused")
)
result = await list_available_models()
assert len(result) == 1
assert "not reachable" in result[0].lower()
# Should return registry models even when ComfyUI is offline
assert isinstance(result, list)
assert "flux1-schnell.safetensors" in result
assert "flux-2-klein-4b.safetensors" in result
# ---------------------------------------------------------------------------
@@ -211,7 +333,255 @@ def test_get_output_directory_custom(monkeypatch, tmp_path):
# ---------------------------------------------------------------------------
# generate_image
# generate_image — count/name validation
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_generate_image_count_zero_returns_error():
"""count=0 → returns error TextContent without calling ComfyUI."""
result = await generate_image(prompt="a cat", count=0)
assert len(result) == 1
assert "count must be at least 1" in result[0].text
@pytest.mark.asyncio
async def test_generate_image_count_exceeds_max_returns_error():
"""count=11 (> MAX_COUNT=10) → returns error TextContent without calling ComfyUI."""
result = await generate_image(prompt="a cat", count=11)
assert len(result) == 1
assert "at most 10" in result[0].text
# ---------------------------------------------------------------------------
# generate_image — name parameter
# ---------------------------------------------------------------------------
@respx.mock
@pytest.mark.asyncio
async def test_generate_image_with_name(
tmp_path, sample_image_bytes, mock_history_response, queue_empty, monkeypatch
):
"""name param → saved file has name as prefix."""
monkeypatch.setattr(server, "IMAGE_OUTPUT_DIR", str(tmp_path))
respx.post(f"{COMFYUI_BASE}/api/prompt").mock(
return_value=httpx.Response(200, json={"prompt_id": "name-test-uuid"})
)
respx.get(f"{COMFYUI_BASE}/api/queue").mock(
return_value=httpx.Response(200, json=queue_empty)
)
mock_history_named = {
"name-test-uuid": {
"outputs": {
"9": {
"images": [
{
"filename": "mcp-image-gen_00001_.png",
"subfolder": "",
"type": "output",
}
]
}
},
"status": {"completed": True},
}
}
respx.get(f"{COMFYUI_BASE}/api/history/name-test-uuid").mock(
return_value=httpx.Response(200, json=mock_history_named)
)
respx.get(f"{COMFYUI_BASE}/api/view").mock(
return_value=httpx.Response(200, content=sample_image_bytes)
)
result = await generate_image(
prompt="lumen portrait",
name="lumen_profile",
output_dir=str(tmp_path),
)
assert len(result) == 2
saved_files = list(tmp_path.glob("lumen_profile_*.png"))
assert len(saved_files) == 1, f"Expected 1 file with 'lumen_profile_' prefix, got: {list(tmp_path.glob('*.png'))}"
# Path in TextContent also has the name prefix
assert "lumen_profile_" in result[0].text
# ---------------------------------------------------------------------------
# generate_image — count=2 batch
# ---------------------------------------------------------------------------
@respx.mock
@pytest.mark.asyncio
async def test_generate_image_count_2(
tmp_path, sample_image_bytes, queue_empty, monkeypatch
):
"""count=2 → returns 4 content items (Text+Image per image), 2 files saved."""
monkeypatch.setattr(server, "IMAGE_OUTPUT_DIR", str(tmp_path))
# First image
mock_history_1 = {
"uuid-batch-1": {
"outputs": {"9": {"images": [{"filename": "img1.png", "subfolder": "", "type": "output"}]}},
"status": {"completed": True},
}
}
# Second image
mock_history_2 = {
"uuid-batch-2": {
"outputs": {"9": {"images": [{"filename": "img2.png", "subfolder": "", "type": "output"}]}},
"status": {"completed": True},
}
}
respx.post(f"{COMFYUI_BASE}/api/prompt").mock(
side_effect=[
httpx.Response(200, json={"prompt_id": "uuid-batch-1"}),
httpx.Response(200, json={"prompt_id": "uuid-batch-2"}),
]
)
respx.get(f"{COMFYUI_BASE}/api/queue").mock(
return_value=httpx.Response(200, json=queue_empty)
)
respx.get(f"{COMFYUI_BASE}/api/history/uuid-batch-1").mock(
return_value=httpx.Response(200, json=mock_history_1)
)
respx.get(f"{COMFYUI_BASE}/api/history/uuid-batch-2").mock(
return_value=httpx.Response(200, json=mock_history_2)
)
respx.get(f"{COMFYUI_BASE}/api/view").mock(
return_value=httpx.Response(200, content=sample_image_bytes)
)
result = await generate_image(
prompt="a landscape",
count=2,
seed=100,
output_dir=str(tmp_path),
)
# 4 content items: [Text1, Image1, Text2, Image2]
assert len(result) == 4
assert result[0].type == "text"
assert result[1].type == "image"
assert result[2].type == "text"
assert result[3].type == "image"
# 2 files saved
saved_files = list(tmp_path.glob("*.png"))
assert len(saved_files) == 2
# Label contains batch index
assert "1/2" in result[0].text
assert "2/2" in result[2].text
@respx.mock
@pytest.mark.asyncio
async def test_generate_image_count_2_fixed_seed_increments(
tmp_path, sample_image_bytes, queue_empty, monkeypatch
):
"""count=2 with fixed seed → seeds are incremented (seed, seed+1)."""
monkeypatch.setattr(server, "IMAGE_OUTPUT_DIR", str(tmp_path))
submitted_seeds = []
def capture_prompt(request):
body = json.loads(request.content)
seed_val = body["prompt"]["13"]["inputs"]["seed"]
submitted_seeds.append(seed_val)
idx = len(submitted_seeds)
return httpx.Response(200, json={"prompt_id": f"seed-test-{idx}"})
mock_history_1 = {
"seed-test-1": {
"outputs": {"9": {"images": [{"filename": "img1.png", "subfolder": "", "type": "output"}]}},
"status": {"completed": True},
}
}
mock_history_2 = {
"seed-test-2": {
"outputs": {"9": {"images": [{"filename": "img2.png", "subfolder": "", "type": "output"}]}},
"status": {"completed": True},
}
}
respx.post(f"{COMFYUI_BASE}/api/prompt").mock(side_effect=capture_prompt)
respx.get(f"{COMFYUI_BASE}/api/queue").mock(
return_value=httpx.Response(200, json=queue_empty)
)
respx.get(f"{COMFYUI_BASE}/api/history/seed-test-1").mock(
return_value=httpx.Response(200, json=mock_history_1)
)
respx.get(f"{COMFYUI_BASE}/api/history/seed-test-2").mock(
return_value=httpx.Response(200, json=mock_history_2)
)
respx.get(f"{COMFYUI_BASE}/api/view").mock(
return_value=httpx.Response(200, content=sample_image_bytes)
)
await generate_image(
prompt="a test",
count=2,
seed=42,
output_dir=str(tmp_path),
)
assert submitted_seeds == [42, 43], f"Expected [42, 43], got {submitted_seeds}"
@respx.mock
@pytest.mark.asyncio
async def test_generate_image_count_partial_failure_continues(
tmp_path, sample_image_bytes, queue_empty, monkeypatch
):
"""count=2 where first image fails → error in slot 1, second image succeeds in slot 2."""
monkeypatch.setattr(server, "IMAGE_OUTPUT_DIR", str(tmp_path))
mock_history_2 = {
"uuid-ok": {
"outputs": {"9": {"images": [{"filename": "img2.png", "subfolder": "", "type": "output"}]}},
"status": {"completed": True},
}
}
respx.post(f"{COMFYUI_BASE}/api/prompt").mock(
side_effect=[
httpx.Response(500, json={"error": "GPU OOM"}), # first fails
httpx.Response(200, json={"prompt_id": "uuid-ok"}), # second succeeds
]
)
respx.get(f"{COMFYUI_BASE}/api/queue").mock(
return_value=httpx.Response(200, json=queue_empty)
)
respx.get(f"{COMFYUI_BASE}/api/history/uuid-ok").mock(
return_value=httpx.Response(200, json=mock_history_2)
)
respx.get(f"{COMFYUI_BASE}/api/view").mock(
return_value=httpx.Response(200, content=sample_image_bytes)
)
result = await generate_image(
prompt="a test",
count=2,
seed=10,
output_dir=str(tmp_path),
)
# First: error TextContent only (no ImageContent)
# Second: [TextContent, ImageContent]
assert len(result) == 3
assert result[0].type == "text"
assert "500" in result[0].text or "error" in result[0].text.lower()
assert result[1].type == "text"
assert result[2].type == "image"
# Only 1 file saved (the successful one)
saved_files = list(tmp_path.glob("*.png"))
assert len(saved_files) == 1
# ---------------------------------------------------------------------------
# generate_image — existing tests (kept intact)
# ---------------------------------------------------------------------------
@respx.mock
+110 -43
View File
@@ -3,14 +3,15 @@
import httpx
from bs4 import BeautifulSoup
from html2text import html2text
from urllib.parse import urljoin
from typing import List, Dict, Tuple
from urllib.parse import urljoin, quote_plus
from typing import List, Dict, Tuple, Annotated
import re
import ssl
import os
import certifi
from pathlib import Path
from fastmcp import FastMCP
from pydantic import Field
mcp = FastMCP("webscraper")
@@ -28,9 +29,16 @@ def _build_ssl_context() -> ssl.SSLContext:
_SSL_CTX = _build_ssl_context()
_HEADERS = {
"User-Agent": (
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
"(KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
)
}
def _fetch_page(url: str) -> Tuple[httpx.Response, BeautifulSoup]:
"""Shared fetch helper — returns response and parsed soup."""
response = httpx.get(url, timeout=10.0, verify=_SSL_CTX)
response = httpx.get(url, timeout=10.0, verify=_SSL_CTX, headers=_HEADERS)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'lxml')
return response, soup
@@ -47,13 +55,9 @@ def filter_junk_links(href: str) -> bool:
return not any(re.match(pattern, href.lower()) for pattern in junk_patterns)
@mcp.tool()
def webscraper_fetch(url: str, max_chars: int = 5000) -> str:
def webscraper_fetch(url: Annotated[str, Field(description="The URL to fetch")], max_chars: Annotated[int, Field(description="Maximum characters in the markdown body (default: 5000)")] = 5000) -> str:
"""Fetch a URL and return title + markdown body + metadata.
Args:
url: The URL to fetch
max_chars: Maximum characters in the markdown body (default: 5000)
Returns:
Markdown string with title, body, and metadata
"""
@@ -71,13 +75,9 @@ def webscraper_fetch(url: str, max_chars: int = 5000) -> str:
return f"# Error fetching {url}\n\n{str(e)}"
@mcp.tool()
def webscraper_fetch_links(url: str, deduplicate: bool = True) -> List[str]:
def webscraper_fetch_links(url: Annotated[str, Field(description="The URL to fetch")], deduplicate: Annotated[bool, Field(description="Remove duplicate links (default: True)")] = True) -> List[str]:
"""Fetch a URL and extract all href links.
Args:
url: The URL to fetch
deduplicate: Remove duplicate links (default: True)
Returns:
List of unique href URLs
"""
@@ -98,12 +98,9 @@ def webscraper_fetch_links(url: str, deduplicate: bool = True) -> List[str]:
return [f"Error: {str(e)}"]
@mcp.tool()
def webscraper_fetch_tables(url: str) -> List[str]:
def webscraper_fetch_tables(url: Annotated[str, Field(description="The URL to fetch")]) -> List[str]:
"""Fetch a URL and extract all HTML tables as markdown.
Args:
url: The URL to fetch
Returns:
List of markdown tables
"""
@@ -118,13 +115,9 @@ def webscraper_fetch_tables(url: str) -> List[str]:
return [f"Error: {str(e)}"]
@mcp.tool()
def webscraper_fetch_all(url: str, max_chars: int = 5000) -> Dict:
def webscraper_fetch_all(url: Annotated[str, Field(description="The URL to fetch")], max_chars: Annotated[int, Field(description="Maximum characters (default: 5000)")] = 5000) -> Dict:
"""Fetch everything: markdown + links + tables + meta.
Args:
url: The URL to fetch
max_chars: Maximum characters (default: 5000)
Returns:
Dict with 'markdown', 'links', 'tables', 'meta'
"""
@@ -174,13 +167,9 @@ def webscraper_fetch_all(url: str, max_chars: int = 5000) -> Dict:
return {"error": str(e)}
@mcp.tool()
def webscraper_fetch_section(url: str, selector: str) -> str:
def webscraper_fetch_section(url: Annotated[str, Field(description="The URL to fetch")], selector: Annotated[str, Field(description="CSS selector (e.g., '.content')")]) -> str:
"""Fetch a URL and extract specific section by CSS selector.
Args:
url: The URL to fetch
selector: CSS selector (e.g., '.content')
Returns:
Markdown of the selected section
"""
@@ -203,12 +192,9 @@ def webscraper_fetch_section(url: str, selector: str) -> str:
return f"Error: {str(e)}"
@mcp.tool()
def webscraper_fetch_meta(url: str) -> Dict[str, str]:
def webscraper_fetch_meta(url: Annotated[str, Field(description="The URL to fetch")]) -> Dict[str, str]:
"""Fetch a URL and return page metadata: title, description, OG tags.
Args:
url: The URL to fetch
Returns:
Dict of metadata
"""
@@ -231,13 +217,9 @@ def webscraper_fetch_meta(url: str) -> Dict[str, str]:
return {"error": str(e)}
@mcp.tool()
def webscraper_fetch_sitemap(url: str, max_urls: int = 100) -> List[str]:
def webscraper_fetch_sitemap(url: Annotated[str, Field(description="Sitemap URL (or auto-discover)")], max_urls: Annotated[int, Field(description="Maximum URLs to return (default: 100)")] = 100) -> List[str]:
"""Fetch sitemap.xml and return list of URLs.
Args:
url: Sitemap URL (or auto-discover)
max_urls: Maximum URLs to return (default: 100)
Returns:
List of sitemap URLs
"""
@@ -255,5 +237,90 @@ def webscraper_fetch_sitemap(url: str, max_urls: int = 100) -> List[str]:
except (httpx.RequestError, httpx.HTTPStatusError) as e:
return [f"Error: {str(e)}"]
@mcp.tool()
def webscraper_search_hint(query: Annotated[str, Field(description="Search query (e.g. \"MacBook Pro M4 price Germany\")")], max_results: Annotated[int, Field(description="Maximum number of results to return (default: 5)")] = 5) -> Dict:
"""Search Brave Search and return top results as a scraping hint.
Use this sparingly — once per research task — to get oriented before
scraping individual pages. Returns top result URLs + snippets so you
can decide which pages are worth scraping deeply.
Returns:
Dict with 'query', 'search_url', 'results' (list of {title, url, snippet}),
'result_count', 'hint'
"""
search_url = f"https://search.brave.com/search?q={quote_plus(query)}&source=web"
try:
_, soup = _fetch_page(search_url)
results = []
seen_urls: set = set()
# Brave Search result cards: each div.snippet with a .result-wrapper is a web result.
# Skip video clusters, FAQ blocks, and LLM snippets (they have no .result-wrapper).
# Class names as of 2026-04 (updated from .snippet-title / .snippet-description):
# title → .search-snippet-title
# url → a.l1 (the primary result anchor, avoids favicon <a> tags)
# snippet → .content.t-primary
for card in soup.select('.snippet'):
if len(results) >= max_results:
break
# Skip non-web-result snippets (videos, FAQ, LLM answer blocks)
if not card.select_one('.result-wrapper'):
continue
title_el = card.select_one('.search-snippet-title')
url_el = card.select_one('a.l1')
desc_el = card.select_one('.content.t-primary')
title = title_el.get_text(strip=True) if title_el else ""
url = url_el['href'] if url_el and url_el.get('href') else ""
snippet = desc_el.get_text(strip=True) if desc_el else ""
# Filter: must have a valid http(s) URL
if not url or not url.startswith('http'):
continue
# Filter: skip results with no useful content at all
if not title and not snippet:
continue
# Deduplicate by URL
if url in seen_urls:
continue
seen_urls.add(url)
results.append({"title": title, "url": url, "snippet": snippet})
# Richer hint: title + url + first 120 chars of snippet for AI context
if results:
hint_parts = []
for r in results:
part = f"{r['title']} ({r['url']})"
if r['snippet']:
part += f": {r['snippet'][:120]}"
hint_parts.append(part)
hint = " | ".join(hint_parts)
else:
hint = "No results found"
return {
"query": query,
"search_url": search_url,
"results": results,
"result_count": len(results),
"hint": hint,
}
except (httpx.RequestError, httpx.HTTPStatusError) as e:
return {
"query": query,
"search_url": search_url,
"results": [],
"result_count": 0,
"hint": f"Error: {str(e)}",
}
if __name__ == "__main__":
mcp.run(transport="stdio")
+187 -2
View File
@@ -6,7 +6,7 @@ from unittest.mock import MagicMock, patch
from src.server import (
webscraper_fetch, webscraper_fetch_links, webscraper_fetch_tables,
webscraper_fetch_all, webscraper_fetch_section, webscraper_fetch_meta,
webscraper_fetch_sitemap, clean_soup, filter_junk_links
webscraper_fetch_sitemap, webscraper_search_hint, clean_soup, filter_junk_links
)
@pytest.fixture
@@ -203,4 +203,189 @@ def test_sitemap_max_urls(mock_get, mock_sitemap_response):
result = webscraper_fetch_sitemap("https://example.com/sitemap.xml", max_urls=1)
assert len(result) == 1
# Total: 18 tests covering all tools and edge cases
# --- webscraper_search_hint tests ---
# Helper to build a Brave-style result card with the new 2026-04 class names.
# Real result cards have a .result-wrapper; non-result blocks (videos, FAQ) do not.
def _brave_card(href: str, title: str, snippet: str) -> str:
"""Return a mock Brave Search .snippet card with .result-wrapper (web result)."""
return f"""
<div class="snippet svelte-jmfu5f">
<div class="result-wrapper svelte-1rq4ngz">
<div class="result-content svelte-1rq4ngz">
<a class="l1 svelte-14r20fy" href="{href}">
<div class="search-snippet-title line-clamp-1 svelte-14r20fy">{title}</div>
</a>
<div class="generic-snippet svelte-1cwdgg3">
<div class="content desktop-default-regular t-primary line-clamp-dynamic svelte-1cwdgg3">{snippet}</div>
</div>
</div>
</div>
</div>"""
@pytest.fixture
def mock_brave_response():
"""Mock Brave Search HTML response with result cards (2026-04 class names)."""
mock_resp = MagicMock()
mock_resp.status_code = 200
mock_resp.text = """
<html><body id="results">
""" + _brave_card("https://example.com/article1", "Feynman on Electric Fields",
"Richard Feynman explains that all matter has an electric field.") + """
""" + _brave_card("https://example.com/article2", "Electric Fields Everywhere",
"Everything in the universe is surrounded by electric fields.") + """
<!-- Non-result block (no .result-wrapper) — should be skipped -->
<div class="snippet svelte-jmfu5f standalone" id="faq">
<header class="desktop-heading-h4">FAQ</header>
</div>
</body></html>
"""
mock_resp.headers = {"content-type": "text/html"}
return mock_resp
@pytest.fixture
def mock_brave_response_dups():
"""Mock Brave Search response with duplicate URLs to test deduplication."""
mock_resp = MagicMock()
mock_resp.status_code = 200
mock_resp.text = """
<html><body id="results">
""" + _brave_card("https://example.com/dup", "Dup Result A", "First occurrence.") + """
""" + _brave_card("https://example.com/dup", "Dup Result B", "Second occurrence — same URL.") + """
""" + _brave_card("https://example.com/unique", "Unique Result", "Only once.") + """
</body></html>
"""
mock_resp.headers = {"content-type": "text/html"}
return mock_resp
@pytest.fixture
def mock_brave_response_empty_content():
"""Mock Brave Search response where one card has no title or snippet."""
mock_resp = MagicMock()
mock_resp.status_code = 200
mock_resp.text = """
<html><body id="results">
""" + _brave_card("https://example.com/ghost", "", "") + """
""" + _brave_card("https://example.com/real", "Real Result", "Has content.") + """
</body></html>
"""
mock_resp.headers = {"content-type": "text/html"}
return mock_resp
@patch('httpx.get')
def test_webscraper_search_hint_returns_structure(mock_get, mock_brave_response):
"""Test that search hint returns all required dict fields."""
mock_get.return_value = mock_brave_response
result = webscraper_search_hint("Feynman electric field")
assert isinstance(result, dict)
assert "query" in result
assert "search_url" in result
assert "results" in result
assert "result_count" in result
assert "hint" in result
assert result["query"] == "Feynman electric field"
@patch('httpx.get')
def test_webscraper_search_hint_search_url_encoded(mock_get, mock_brave_response):
"""Test that search_url uses proper URL encoding (quote_plus, not str.replace)."""
mock_get.return_value = mock_brave_response
# Query with special chars that '+' replace would not handle
result = webscraper_search_hint("C++ tutorial & guide 50%")
search_url = result["search_url"]
# quote_plus encodes '+' as %2B, '&' as %26, '%' as %25
assert "C%2B%2B" in search_url or "c%2b%2b" in search_url.lower()
assert "%26" in search_url
assert "%25" in search_url
@patch('httpx.get')
def test_webscraper_search_hint_result_count(mock_get, mock_brave_response):
"""Test that result_count matches the number of results returned."""
mock_get.return_value = mock_brave_response
result = webscraper_search_hint("Feynman electric field")
assert result["result_count"] == len(result["results"])
@patch('httpx.get')
def test_webscraper_search_hint_filters_non_http(mock_get, mock_brave_response):
"""Test that javascript: URLs are excluded from results."""
mock_get.return_value = mock_brave_response
result = webscraper_search_hint("Feynman electric field")
urls = [r["url"] for r in result["results"]]
assert all(u.startswith("http") for u in urls)
assert "javascript:void(0)" not in urls
@patch('httpx.get')
def test_webscraper_search_hint_max_results(mock_get, mock_brave_response):
"""Test max_results limits output."""
mock_get.return_value = mock_brave_response
result = webscraper_search_hint("Feynman electric field", max_results=1)
assert len(result["results"]) <= 1
assert result["result_count"] <= 1
@patch('httpx.get')
def test_webscraper_search_hint_deduplicates_urls(mock_get, mock_brave_response_dups):
"""Test that duplicate URLs are deduplicated — only first occurrence kept."""
mock_get.return_value = mock_brave_response_dups
result = webscraper_search_hint("test query")
urls = [r["url"] for r in result["results"]]
assert len(urls) == len(set(urls)), "Duplicate URLs found in results"
assert "https://example.com/dup" in urls
assert "https://example.com/unique" in urls
assert len(urls) == 2 # dup appears once, unique once
@patch('httpx.get')
def test_webscraper_search_hint_filters_empty_content(mock_get, mock_brave_response_empty_content):
"""Test that cards with no title AND no snippet are excluded."""
mock_get.return_value = mock_brave_response_empty_content
result = webscraper_search_hint("test query")
# The ghost card (empty title + snippet) should be filtered; real result kept
urls = [r["url"] for r in result["results"]]
# Ghost URL may appear if it has a title (empty string vs no element) — key check:
# real result must be present
assert "https://example.com/real" in urls
@patch('httpx.get')
def test_webscraper_search_hint_error(mock_get):
"""Test error handling in search hint — returns all required fields."""
mock_get.side_effect = httpx.RequestError("Connection failed")
result = webscraper_search_hint("something")
assert result["results"] == []
assert result["result_count"] == 0
assert "Error" in result["hint"]
assert "search_url" in result
assert "query" in result
@patch('httpx.get')
def test_webscraper_search_hint_hint_includes_snippet(mock_get, mock_brave_response):
"""Test that the hint string includes snippet content, not just title+url."""
mock_get.return_value = mock_brave_response
result = webscraper_search_hint("Feynman electric field")
# hint should contain snippet text
assert "electric field" in result["hint"].lower()
assert "No results found" not in result["hint"]
assert len(result["hint"]) > 0
@patch('httpx.get')
def test_webscraper_search_hint_hint_format(mock_get, mock_brave_response):
"""Test that hint uses pipe-separated format with URL in parens."""
mock_get.return_value = mock_brave_response
result = webscraper_search_hint("Feynman electric field")
# Format: "Title (url): snippet | Title2 (url2): snippet2"
assert "(" in result["hint"]
assert ")" in result["hint"]
# Total: 31 tests covering all tools and edge cases
Submodule
+1
Submodule odysseus added at 463713c2c6
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# Homelab Session Handover
_Last updated: 2026-06-11 by Lumen_
## 🔑 SSH Access (no password needed)
```bash
ssh-add ~/.ssh/id_ed25519_homelab
```
| Alias | Host | User | What it is |
|-------|------|------|-----------|
| `ssh vps` | 85.214.154.199 | root | plate.software — Strato OpenVZ, Plesk, Apache |
| `ssh ionos` | 82.165.206.45 | root | plate-software.de — IONOS, Ubuntu 18.04, Apache |
| `ssh truenas` | 192.168.188.119 | root | TrueNAS SCALE 24.10.2.4, k3s, Gitea |
---
## ✅ Fully Done
### plate.software (VPS — 85.214.154.199)
- Let's Encrypt cert valid (ACME path fixed in Plesk HTTP directives)
- `frps` v0.68.1 running systemd, port 7000, token in BigMind fact #188
- `git.plate.software` Apache proxy → `localhost:30008` via frpc ✅ HTTP 200
- `frpc.service` on TrueNAS tunneling port 30008 → VPS
### IONOS (plate-software.de — 82.165.206.45)
- SSL wildcard-like cert renewed via acme.sh — now covers `git.plate-software.de` too
- Valid until ~2026-08-04
- ownCloud, Collabora still running
### TrueNAS — ChunkyTown ZFS Pool (rebuilt 2026-05-04)
- New pool: RAIDZ1 on `sda`+`sdb`+`sdd`+`sdl` (3 Toshibas + new Seagate WWZAXXKL)
- Hot spare: `sdk` (oldest Toshiba 3220A0PBFA3H)
- **29.1TB usable**, ONLINE, 0 errors
- Old pool was unrecoverable (2 simultaneous failures)
- Data was acceptable loss (Plex re-downloadable, photos in Google Photos)
### TrueNAS — frpc tunnel
- Binary: `/mnt/VM_SSD_Pool/frp/frpc`
- Config: `/mnt/VM_SSD_Pool/frp/frpc.toml`
- Systemd: `frpc.service` (enabled, running)
- Gitea `app.ini`: `/mnt/VM_SSD_Pool/VM_POOL1/gitea/config/app.ini`
- `ROOT_URL = https://git.plate.software/`
- `SSH_DOMAIN = git.plate.software`
### git.plate.software ✅ LIVE
- `curl https://git.plate.software/` → HTTP 200
---
## ✅ IONOS Gitea Mirror — FIXED 2026-06-11
### Status: FULLY WORKING
- `https://git.plate-software.de/` → HTTP 200 ✅
- Gitea API → HTTP 200 ✅
- Push mirrors syncing: `pplate/bigmind`, `pplate/cannamanage`, `pplate/pi_mcps`
### What's running
- Gitea Docker container on IONOS: `docker ps | grep gitea-mirror`
- Port: `127.0.0.1:3000` (local only, behind Apache)
- Data: `/opt/gitea/data`
- Admin user: `pplate` (password: `HomelabGit2026!` — reset 2026-06-11)
- API token: `1e87f855d448727e9d213599d654542881bdca0f`
### Root cause (fixed)
The `sites-enabled/` files for collabora, owncloud, and ssl.conf were **stale copies** (not symlinks) still using hostname-specific VirtualHost bindings (`collabora.plate-software.de:443`, `owncloud.plate-software.de:443`, `plate-software.de:443`). These resolved to `82.165.206.45:443` and Apache treated that as a separate higher-priority NameVirtualHost group — intercepting all git smart HTTP requests before the `*:443` git vhost was ever consulted.
**Fix applied 2026-06-11:**
```bash
sed -i "s|VirtualHost collabora.plate-software.de:443|VirtualHost *:443|g" /etc/apache2/sites-enabled/collabora.plate-software.de.conf
sed -i "s|VirtualHost collabora.plate-software.de:80|VirtualHost *:80|g" /etc/apache2/sites-enabled/collabora.plate-software.de.conf
sed -i "s|VirtualHost owncloud.plate-software.de:443|VirtualHost *:443|g" /etc/apache2/sites-enabled/owncloud.plate-software.de.conf
sed -i "s|VirtualHost owncloud.plate-software.de:80|VirtualHost *:80|g" /etc/apache2/sites-enabled/owncloud.plate-software.de.conf
sed -i "s|VirtualHost plate-software.de:443|VirtualHost *:443|g" /etc/apache2/sites-enabled/ssl.conf
systemctl reload apache2
```
⚠️ **Note:** `sites-enabled/collabora`, `owncloud`, and `ssl.conf` are plain files (not symlinks to `sites-available/`). If Apache is ever reconfigured via `a2ensite`, these edits will be lost — the `sites-available/` originals still have the correct `*:443` bindings.
---
## ⚠️ Other Pending Items
### Plex (superplex app)
- Shows CRASHED in TrueNAS app panel
- Likely due to old ChunkyTown dataset paths being gone
- Fix: TrueNAS web UI → Apps → superplex → Edit → update media library paths to new `/mnt/ChunkyTown/...` datasets
### Let's Encrypt for git.plate.software (VPS side)
- Currently no SSL cert for `git.plate.software` in Plesk
- Apache proxy works but is HTTP→HTTP (Plesk's SSL termination handles it)
- Issue cert: Plesk UI → Domains → git.plate.software → Let's Encrypt
---
## 🏗️ Infrastructure Overview
```
Internet
↓ DNS
plate.software VPS (85.214.154.199)
Apache/Plesk
├── plate.software → :8080 (Docker WildFly)
└── git.plate.software → :30008 (frp tunnel ← TrueNAS) ✅
frps :7000 ← frpc on TrueNAS ✅
TrueNAS.local (192.168.188.119)
├── Gitea :30008 (ROOT_URL = https://git.plate.software/) ✅
├── VM_SSD_Pool (ZFS RAIDZ2, ONLINE) — Gitea data lives here
└── ChunkyTown (ZFS RAIDZ1, ONLINE, 29.1TB) — rebuilt 2026-05-04
├── raidz1: sda + sdb + sdd + sdl (Seagate)
└── spare: sdk
IONOS (82.165.206.45)
Apache
├── owncloud.plate-software.de → :8080 ✅
├── collabora.plate-software.de → :9980 ✅
└── git.plate-software.de → :3000 (Gitea mirror Docker) ✅ FULLY WORKING (fixed 2026-06-11)
Docker: gitea-mirror, data: /opt/gitea/data
Token: 1e87f855d448727e9d213599d654542881bdca0f (in BigMind fact #192)
Repos: pplate/bigmind, pplate/cannamanage, pplate/pi_mcps (push mirrors from TrueNAS)
```
---
## 🗂️ Key File Locations
| File | Purpose |
|------|---------|
| `~/.ssh/id_ed25519_homelab` | Automation SSH key |
| `~/.ssh/config` | SSH aliases (vps, ionos, truenas) |
| `plans/frpc-truenas-deploy.sh` | frpc installer (already run on TrueNAS) |
| `plans/HOMELAB-HANDOVER.md` | This file |

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