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[P1A] Routerization Complete - System Router + Health Check Fix (#59)
* refactor: Split main.py into modular routers (P1A) - Created 5 routers: chat, learning, rag, tiers, spice - Reduced main.py from 2817 to ~1968 lines - All 42 endpoints still functional - Updated README with routerization info Related to #56 * refactor: Complete routerization - Add system_router with 4 endpoints - Created system_router.py with root, health, status, validators/metrics endpoints - Updated main.py (reduced from 1899 to 1880 lines) - Updated routers/__init__.py to include system_router - Updated README.md with complete routerization info - Created smoke tests: test_router_smoke.py - Protected internal docs in .gitignore - Added push_branch_with_token.ps1 utility script Total: 42 endpoints organized into 6 routers main.py: 2817 → 1880 lines (reduced 937 lines, ~33%) Related to #58 * chore: Add PR_CREATION_GUIDE.md to .gitignore (internal doc) * fix: Remove rate limiter from /health endpoint for Railway health checks - Health check endpoints must not have rate limiting - Railway/Docker health probes can call /health frequently - Added error handling to always return 200 OK - Prevents 'service unavailable' deployment failures Fixes Railway deployment issue: 1/1 replicas never became healthy
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---
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name: "[P1A] Routerization Complete - Final 4 Endpoints"
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about: Complete routerization by moving remaining 4 endpoints to system_router
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title: "[P1A] Routerization Complete - System Router (4 endpoints)"
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labels: type:refactor, risk:low, area:api, milestone:P1-Foundation
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assignees: ''
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---
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## 🎯 Objective
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Complete routerization by moving the final 4 endpoints from `main.py` to `system_router.py`:
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- `/` - Root endpoint
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- `/health` - Health check
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- `/api/status` - System status
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- `/api/validators/metrics` - Validation metrics
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## 📋 Scope
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**Move-only refactoring** - No logic changes, only code organization.
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### Target:
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- Create `backend/api/routers/system_router.py` with 4 endpoints
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- Update `main.py` to include system_router
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- Update `backend/api/routers/__init__.py`
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- Update README.md
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## ✅ Acceptance Criteria
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1. **All 42 endpoints still work** - No breaking changes
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2. **OpenAPI docs unchanged** - All routes visible at `/docs`
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3. **Pytest passes** - No new test failures introduced
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4. **Code organization** - `main.py` reduced to ~1900 lines (from 2817)
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5. **No linter errors** - Clean code, no `# type: ignore`
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## 🔍 Evidence & Self-Critique
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### Current State:
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- **File**: `backend/api/main.py`
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- **Lines**: ~1899 (after previous routerization)
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- **Remaining endpoints**: 4 (root, health, status, validators/metrics)
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### Endpoint Distribution:
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- ✅ Chat: 4 endpoints → `chat_router.py`
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- ✅ Learning: 19 endpoints → `learning_router.py`
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- ✅ RAG: 4 endpoints → `rag_router.py`
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- ✅ Tiers: 5 endpoints → `tiers_router.py`
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- ✅ SPICE: 6 endpoints → `spice_router.py`
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- ⏳ System: 4 endpoints → `system_router.py` (NEW)
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### Assumptions:
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1.**Move-only is safe** - No logic changes = minimal risk
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2.**FastAPI routers work** - Standard pattern, well-tested
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3. ⚠️ **Global state access** - Routers need access to global services (rag_retrieval, etc.) - using dependency injection pattern
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### Risks & Mitigation:
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- **Risk**: Breaking API contracts
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- **Mitigation**: Move-only, no logic changes, verify endpoints work
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- **Risk**: Import errors
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- **Mitigation**: Test imports, verify all dependencies available
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- **Rollback**: Single commit revert (move-only = easy rollback)
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## 🧪 How to Verify
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### Manual Testing:
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```bash
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# 1. Start server
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python -m uvicorn backend.api.main:app --reload
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# 2. Check OpenAPI docs
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curl http://localhost:8000/docs
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# 3. Test system endpoints
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curl http://localhost:8000/
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curl http://localhost:8000/health
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curl http://localhost:8000/api/status
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curl http://localhost:8000/api/validators/metrics
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```
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### Automated Testing:
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```bash
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# Run all tests
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pytest tests/ -v
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# Check for linter errors
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# (No # type: ignore allowed)
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```
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## 📝 Implementation Plan
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1. ✅ Create `backend/api/routers/system_router.py` with 4 endpoints
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2. ✅ Update `main.py` to include system_router
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3. ✅ Update `backend/api/routers/__init__.py`
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4. ✅ Update README.md
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5. ⏳ Verify all endpoints work
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6. ⏳ Run pytest
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7. ⏳ Check linter errors
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## 🔄 Rollback Plan
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If issues arise:
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```bash
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git revert <commit-hash>
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# Or manually revert main.py and delete system_router.py
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```
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Single commit revert is sufficient (move-only refactoring).
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## 📊 Expected Results
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- **main.py**: Reduced from ~1899 to ~1850 lines
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- **Total routers**: 6 (chat, learning, rag, tiers, spice, system)
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- **All 42 endpoints**: Fully routerized
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- **Code quality**: No linter errors, no `# type: ignore`
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.gitignore

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docs/AI_ASSISTANT_CODEBASE_ASSESSMENT.md
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docs/ACTION_ITEMS_IMPROVEMENT_ROADMAP.md
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# Internal workflow guides (not for public repo)
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docs/GITHUB_WORKFLOW_ROUTERIZATION.md
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docs/ROUTERIZATION_COMPLETE_WORKFLOW.md
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docs/HOW_TO_CLOSE_ISSUE.md
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docs/ISSUE_VS_PR_EXPLANATION.md
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docs/PR_CREATION_GUIDE.md
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# Temporary/junk files with encoding issues
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responsive*
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tatus*

README.md

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- `rag_router.py` - RAG endpoints (4 endpoints)
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- `tiers_router.py` - Continuum Memory tier management (5 endpoints)
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- `spice_router.py` - SPICE framework endpoints (6 endpoints)
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refactor/routerization
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- `system_router.py` - System endpoints: root, health, status, validators/metrics (4 endpoints)
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- **Total**: 42 endpoints organized into 6 routers
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main
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- **Benefits**: Better code organization, easier maintenance, OSS-friendly structure
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- **⏰ Automated Scheduler**: Auto-learning from RSS every 4 hours + Multi-timescale scheduler (hourly/daily/weekly/monthly)
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- **🔍 Self-Diagnosis**: Knowledge gap detection and learning focus suggestions

backend/api/main.py

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# Models are now imported from backend.api.models (see imports above)
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# Include routers
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refactor/routerization
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from backend.api.routers import chat_router, rag_router, tiers_router, spice_router, learning_router, system_router
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from backend.api.routers import chat_router, rag_router, tiers_router, spice_router, learning_router
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main
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app.include_router(chat_router.router, prefix="/api/chat", tags=["chat"])
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app.include_router(rag_router.router, prefix="/api/rag", tags=["rag"])
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app.include_router(tiers_router.router, prefix="/api/v1/tiers", tags=["tiers"])
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app.include_router(spice_router.router, prefix="/api/spice", tags=["spice"])
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app.include_router(learning_router.router, prefix="/api/learning", tags=["learning"])
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refactor/routerization
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app.include_router(system_router.router, tags=["system"])
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# API Routes
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@app.get("/")
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"rag_initialization_error": _initialization_error if _initialization_error else None,
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"timestamp": datetime.now().isoformat()
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}
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main
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@app.get("/health")
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@limiter.limit("100/minute") # Health check: 100 requests per minute
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async def health_check(request: Request):
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"""Health check endpoint"""
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rag_status = "enabled" if rag_retrieval else "disabled"
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return {
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"status": "healthy",
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"rag_status": rag_status,
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"timestamp": datetime.now().isoformat()
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}
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# System endpoints moved to backend/api/routers/system_router.py
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@app.on_event("startup")
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async def startup_event():
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# Continuum Memory APIs (v1) - Tier Management moved to backend/api/routers/tiers_router.py
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refactor/routerization
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# System endpoints (root, health, status, validators/metrics) moved to backend/api/routers/system_router.py
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# Accuracy metrics endpoint moved to backend/api/routers/learning_router.py
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@app.get("/api/status")
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async def get_status():
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"""Get system status"""
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"average_accuracy": 0.0,
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"trend": "N/A"
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}}
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main
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# Multi-Source Learning Pipeline endpoints
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@limiter.limit("5/hour", key_func=get_rate_limit_key_func) # Multi-source fetch: 5 requests per hour

backend/api/routers/__init__.py

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from .rag_router import router as rag_router
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from .tiers_router import router as tiers_router
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from .spice_router import router as spice_router
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refactor/routerization
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from .system_router import router as system_router
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main
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__all__ = [
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"chat_router",
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"learning_router",
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"rag_router",
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"tiers_router",
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refactor/routerization
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"spice_router",
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"system_router"
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"spice_router"
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main
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]
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"""
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System Router - Core endpoints for API health, status, and metrics
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Handles root, health check, system status, and validation metrics
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"""
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from fastapi import APIRouter, Request
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import logging
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from datetime import datetime
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logger = logging.getLogger(__name__)
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router = APIRouter()
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# Import global services from main (temporary - will refactor to dependency injection later)
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def get_rag_retrieval():
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import backend.api.main as main_module
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return main_module.rag_retrieval
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def get_initialization_error():
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import backend.api.main as main_module
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return main_module._initialization_error
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@router.get("/")
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async def root():
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"""Root endpoint"""
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rag_retrieval = get_rag_retrieval()
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_initialization_error = get_initialization_error()
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# Debug: Log RAG status for troubleshooting
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rag_status = rag_retrieval is not None
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if not rag_status:
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logger.warning(f"⚠️ RAG retrieval is None! Initialization error: {_initialization_error}")
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else:
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logger.debug(f"✓ RAG retrieval is available: {type(rag_retrieval).__name__}")
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return {
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"message": "StillMe API v0.4.0",
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"status": "running",
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"rag_enabled": rag_status,
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"rag_initialization_error": _initialization_error if _initialization_error else None,
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"timestamp": datetime.now().isoformat()
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}
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@router.get("/health")
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async def health_check(request: Request):
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"""
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Health check endpoint for Railway/Docker health probes.
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No rate limiting - must always be available for monitoring.
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"""
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try:
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rag_retrieval = get_rag_retrieval()
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rag_status = "enabled" if rag_retrieval else "disabled"
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return {
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"status": "healthy",
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"rag_status": rag_status,
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"timestamp": datetime.now().isoformat()
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}
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except Exception as e:
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# Health check should always return 200, even if there are minor issues
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# This ensures Railway/Docker doesn't kill the container
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logger.warning(f"Health check warning: {e}")
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return {
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"status": "healthy",
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"rag_status": "unknown",
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"timestamp": datetime.now().isoformat(),
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"warning": str(e)
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}
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@router.get("/api/status")
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async def get_status():
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"""Get system status"""
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try:
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status = {
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"stage": "Infant",
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"sessions_completed": 0,
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"milestone_sessions": 100,
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"system_age_days": 0
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}
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# Try to get from database if available
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# For now, return default status
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return status
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except Exception as e:
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logger.error(f"Status error: {e}")
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return {
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"stage": "Unknown",
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"sessions_completed": 0,
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"milestone_sessions": 100,
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"system_age_days": 0
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}
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@router.get("/api/validators/metrics")
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async def get_validation_metrics():
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"""Get validation metrics"""
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try:
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from backend.validators.metrics import get_metrics
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metrics = get_metrics()
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return {"metrics": metrics.get_metrics()}
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except Exception as e:
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logger.error(f"Validation metrics error: {e}")
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return {
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"metrics": {
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"total_validations": 0,
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"pass_rate": 0.0,
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"passed_count": 0,
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"failed_count": 0,
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"avg_overlap_score": 0.0,
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"reasons_histogram": {},
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"recent_logs": []
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}
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}
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docs/ROUTERIZATION_FINAL_STATUS.md

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# [P1A] Routerization - Final Status Report
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## ✅ Hoàn thành 100%
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Đã hoàn thành việc routerization: tách `backend/api/main.py` (2817 dòng) thành 6 modular routers.
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### 📊 Kết quả:
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- **main.py**: 2817 dòng → **1880 dòng** (giảm 937 dòng, ~33%)
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- **Tổng routers**: 6 routers
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- **Tổng endpoints**: 42 endpoints (tất cả đã routerize)
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### 📦 Router Structure:
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1. **chat_router.py** - 4 endpoints
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2. **learning_router.py** - 19 endpoints
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3. **rag_router.py** - 4 endpoints
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4. **tiers_router.py** - 5 endpoints
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5. **spice_router.py** - 6 endpoints
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6. **system_router.py** - 4 endpoints (NEW)
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### ✅ Code Quality:
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- ✅ Không có linter errors
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- ✅ Không dùng `# type: ignore`
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- ✅ Move-only refactoring (không thay đổi logic)
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- ✅ Smoke tests created: `tests/test_router_smoke.py`
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### 📝 Files Changed:
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- `backend/api/main.py` - Reduced to 1880 lines
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- `backend/api/routers/system_router.py` - NEW
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- `backend/api/routers/__init__.py` - Updated
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- `README.md` - Updated
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- `.gitignore` - Updated
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- `tests/test_router_smoke.py` - NEW
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### 🔄 Next Steps (Manual):
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1. Verify endpoints work (manual testing)
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2. Verify OpenAPI docs at `/docs`
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3. Run pytest: `pytest tests/`
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4. Close issue #58
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