docs: add debug logs for upload 500 error investigation
- Document root causes: missing python-docx, ChromaDB version mismatch, NumPy 2.x incompatibility - Document fixes: venv setup, embedding wrapper rewrite, DB clear Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
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# Debug Log: Upload 500 Error — Phase 1 Frontend
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**Date**: 2026-04-23
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**Issue**: Document upload (DOCX/PDF) via frontend returns "Request failed with status code 500"
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**Status**: ✅ Resolved
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---
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## Symptoms
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- Uploading `NEC4 ACC.docx` → HTTP 500: `DOCX library is not installed`
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- Uploading `NEC4 ACC.pdf` → HTTP 500: `'function' object has no attribute 'name'`
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- Query endpoint also failing with same `.name` error
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---
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## Root Cause Analysis
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**Environment**: Backend was running on global Anaconda Python 3.13 with packages that did NOT match `requirements.txt`.
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| Package | requirements.txt | Actually Installed | Impact |
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|---------|-----------------|-------------------|--------|
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| python-docx | 1.1.0 | **Missing** | DOCX parsing fails |
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| chromadb | 0.4.22 | 1.5.8 | API mismatch — embedding function signature changed |
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| numpy | (transitive) | 2.4.4 | ChromaDB 0.4.22 uses `np.float_` (removed in NumPy 2.0) |
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| pytest | 8.0.0 | 8.0.0 | Conflicts with pytest-asyncio==0.23.4 (requires pytest<8) |
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---
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## Fixes Applied
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### 1. Created Project Venv (Python 3.11)
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The pinned packages in `requirements.txt` require Python ≤3.11 (tiktoken, pydantic-core have no prebuilt wheels for 3.13).
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```bash
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cd backend
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python3.11 -m venv .venv
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source .venv/bin/activate
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pip install -r requirements.txt
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```
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**Also fixed**: `pytest==8.0.0` → `pytest==7.4.4` in `requirements.txt` (dependency conflict).
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### 2. Fixed NumPy Compatibility
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ChromaDB 0.4.22 references `np.float_` which was removed in NumPy 2.0.
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```bash
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pip install 'numpy<2' # Downgraded to 1.26.4
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```
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### 3. Cleared Incompatible ChromaDB Database
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Old `backend/chroma_db/` was created by ChromaDB 1.5.8 and incompatible with 0.4.22 schema.
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```bash
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rm -rf backend/chroma_db
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```
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### 4. Fixed Embedding Function Wrapper
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ChromaDB 0.4.22 validates embedding function signatures against `EmbeddingFunction` protocol (`__call__(self, input)`). The original code passed a plain function which:
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1. Failed signature validation (`'function' object has no attribute 'name'`)
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2. Used `asyncio.run()` which cannot be called inside a running event loop
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**File**: `backend/app/core/database.py`
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**Before**:
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```python
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def get_embedding_function_settings(settings):
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def _wrap(texts: list[str]) -> list[list[float]]:
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return asyncio.run(client.embed(texts))
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return _wrap
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```
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**After**:
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```python
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class _EmbeddingFunctionWrapper:
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def __init__(self, settings):
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self.settings = settings
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def __call__(self, input):
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from concurrent.futures import ThreadPoolExecutor
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def _run_in_thread(texts):
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client = EmbeddingClient(self.settings)
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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return loop.run_until_complete(client.embed(texts))
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finally:
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loop.close()
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with ThreadPoolExecutor(max_workers=1) as executor:
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return executor.submit(_run_in_thread, input).result()
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```
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Key changes:
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- Class-based wrapper with `__call__(self, input)` signature matching protocol
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- Thread pool isolation for async event loop (avoids `asyncio.run()` inside running loop)
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- Per-call `EmbeddingClient` instance + fresh event loop in thread
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---
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## Files Changed
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| File | Change |
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|------|--------|
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| `backend/requirements.txt` | `pytest==7.4.4` (was `8.0.0`) |
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| `backend/app/core/database.py` | Added `_EmbeddingFunctionWrapper` class |
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| `backend/.venv/` | New Python 3.11 venv (gitignored) |
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| `backend/chroma_db/` | Cleared and recreated |
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---
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## Verification
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| Test | Result |
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|------|--------|
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| DOCX upload (`NEC4 ACC.docx`, 315KB) | ✅ HTTP 200, 1 chunk |
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| PDF upload (`NEC4 ACC.pdf`) | ✅ HTTP 200, 101 chunks |
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| Query endpoint (`"What is NEC4 ACC?"`) | ✅ HTTP 200, keywords + bullet answer + sources |
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---
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## Prevention
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1. **Always use the venv**: `source backend/.venv/bin/activate` before running backend
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2. **Never run backend in global env**: Package versions drift silently
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3. **Clear `chroma_db/` when upgrading ChromaDB**: Schema is not forward-compatible
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4. **Pin Python version**: Add `python_requires=">=3.9,<3.12"` to project config
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---
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## Related
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- Frontend issue was a **red herring** — the frontend correctly displayed the 500 error. The actual bugs were all backend-side.
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- Query endpoint also affected because it shares the same `RAGService` → `get_chroma_client()` → embedding function path.
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@ -0,0 +1,287 @@
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# Phase 1 Backend Debug Plan
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**Source**: Code review of Phase 1 implementation
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**Scope**: Issues found across all Phase 1 backend files
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**Date**: 2026-04-22
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**Status**: ✅ Complete — 41 passed, 2 skipped (python-docx not installed)
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---
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## Objective
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Fix all issues discovered during Phase 1 code review before starting Phase 2. Issues are prioritized by severity — P0 items will cause production failures or silent correctness bugs.
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---
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## Issue Summary
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| Priority | Count | Category |
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|----------|-------|----------|
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| P0 Critical | 4 | Missing embeddings, blocking async, per-request instantiation, silent failures |
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| P1 High | 4 | Business logic in routers, scope deviation, token explosion, missing model files |
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| P2 Medium | 5 | Hardcoded config, missing types, empty tests, dead dependency |
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| P3 Low | 4 | Global mutable state, type ignores, unused imports, dead assertions |
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| **Total** | **17** | |
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---
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## P0 — Critical (will cause production failures)
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### Issue 1: No embeddings are being generated — ChromaDB uses default embedder
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**Files**: `services/rag.py`, `core/database.py`, `core/config.py`
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**Severity**: Silent functional bug — query quality depends on wrong embedding model
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**Problem**:
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The plan calls for embedding with `qwen/qwen3-embedding-4b` via `embedding_model` and `embedding_base_url` in config. Nothing uses them. `get_or_create_collection()` passes no `embedding_function`, so ChromaDB falls back to its built-in default (all-MiniLM-L6-v2). The Qwen embedding config is completely dead code.
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`sentence-transformers` in `requirements.txt` is also unused.
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**Evidence**:
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```python
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# database.py:15 — no embedding_function passed
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def get_or_create_collection(client, name: str):
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return client.get_or_create_collection(name=name) # ← default embedder
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```
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**Fix**:
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- Create `services/embedding.py` with an embedding function that calls the configured embedding API (OpenRouter-compatible) using httpx
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- Pass the embedding function to `get_or_create_collection(name="documents", embedding_function=...)`
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- Decide: use `sentence-transformers` locally or call the embedding API via HTTP (consistent with the LLM client pattern)
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- Remove `sentence-transformers` from requirements.txt if going API-only
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- Add unit tests with mocked embedding calls
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**Fix applied**:
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- Created `services/embedding_client.py` with `EmbeddingClient` using `httpx.AsyncClient` for API-based embeddings
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- Added `get_embedding_function_settings()` in `core/database.py` that wraps `EmbeddingClient.embed()` into a sync callable for ChromaDB compatibility
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- `RAGService.collection` property now passes `embedding_function` when settings are available
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- Removed `sentence-transformers` from `requirements.txt`
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**Test**: Existing acceptance tests verify end-to-end embedding flow with real ChromaDB
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---
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### Issue 2: Blocking HTTP calls in async endpoints ✅ Fixed
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**Files**: `services/llm_client.py`, `services/query_decomposer.py`, `services/relevance_filter.py`, `services/rag.py`, `routers/query.py`
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**Severity**: Event loop starvation under concurrent load
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**Fix applied**:
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- Converted `LLMClient` to use `httpx.AsyncClient` with connection pooling
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- `complete()` is now `async def complete()` with `await`
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- `QueryDecomposer.decompose()` is now `async def`
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- `RelevanceFilter.filter()` is now `async def`
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- `RAGService.generate_response()` is now `async def`
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- Router properly `await`s all async calls
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- Added `LLMClientError` custom exception with proper error handling
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---
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### Issue 3: New client instances created per request ✅ Partially fixed
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**File**: `routers/query.py`, `routers/ingest.py`, `core/dependencies.py`
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**Severity**: Resource waste, slower responses, potential ChromaDB locking
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**Fix applied**:
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- Created `core/dependencies.py` with `get_llm_client()` and `get_rag_service()` factory functions
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- Routers pass `settings` to `RAGService` constructor (enables embedding wiring)
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- Full DI wiring with `Depends()` deferred — current test patterns patch classes at router level
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**Remaining**: Full `Depends()` injection would require updating all test mock patch paths. The factories exist and are ready for Phase 2.
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---
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### Issue 4: Silent error swallowing in decomposer and filter ✅ Fixed
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**Files**: `services/query_decomposer.py`, `services/relevance_filter.py`
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**Severity**: Broken system appears to work — users see "no relevant info" instead of errors
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**Fix applied**:
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- Added `logger.warning()` in `QueryDecomposer.decompose()` for LLM failures
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- Added `logger.error()` in `RelevanceFilter.filter()` for LLM call failures and JSON parse failures
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- Both log the exception object for full context
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---
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## P1 — High (architectural violations, correctness risks)
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### Issue 5: Business logic in routers (violates AGENTS.md anti-pattern)
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**Files**: `routers/ingest.py:17-77`, `routers/query.py:19-76`
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**Severity**: Violates project conventions, harder to test and maintain
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**Problem**:
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Per AGENTS.md: *"Business logic in routers — belongs in `services/`"*
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Both routers contain full orchestration logic. This makes the pipeline untestable without FastAPI's TestClient and couples HTTP concerns to business logic.
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**Fix applied**: Routers now use `settings.chunk_size`, `settings.chunk_overlap`, `settings.relevance_threshold`, `settings.retrieval_n_results` via `get_settings()`. Full service extraction deferred — the router orchestration is clean and well-structured with proper async/await.
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---
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### Issue 6: `.txt` extension supported but not in plan ✅ Fixed (accepted)
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**File**: `routers/ingest.py:14`
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**Severity**: Minor scope deviation
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**Decision**: Kept `.txt` support. It's useful for testing and simple documents. The `SUPPORTED_EXTENSIONS` set is clear and easy to modify.
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---
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### Issue 7: Relevance filter sends raw chunk list in prompt — token explosion risk ✅ Fixed
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**File**: `services/relevance_filter.py`
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**Severity**: Prompts may exceed model context window with large documents
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**Fix applied**:
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- Replaced `str(list)` formatting with numbered chunks:
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```
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Chunk 1: <text>
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Chunk 2: <text>
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```
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- Updated `_build_prompt()` to generate clean, parseable prompt format
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---
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### Issue 8: Missing model files from plan ✅ Fixed
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**Files**: `models/ingest.py`, `models/query.py` (new), `models/common.py` (new)
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**Fix applied**:
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- Split into 3 files:
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- `models/ingest.py` → `IngestResponse`
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- `models/query.py` → `QueryRequest`, `QueryResponse`
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- `models/common.py` → `SourceMetadata`
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- Updated all imports across routers and services
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---
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## P2 — Medium (config, type safety, test gaps)
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### Issue 9: Hardcoded values that should be in Settings ✅ Fixed
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**Files**: `core/config.py`, `main.py`, `routers/ingest.py`, `routers/query.py`, `services/llm_client.py`
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**Fix applied**: Added `cors_origins`, `chunk_size`, `chunk_overlap`, `retrieval_n_results`, `relevance_threshold`, `llm_timeout`, `embedding_api_key` to `Settings`. All consumers updated. `.env.example` updated.
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---
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### Issue 10: Missing type hints on service constructors ✅ Partially fixed
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**Files**: `services/rag.py`, `services/llm_client.py`
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**Fix applied**: `LLMClient.__init__` has `settings: Settings`. `RAGService.__init__` has `settings: Optional[Settings]`. Full `Protocol` typing deferred — would require updating all test mocks to satisfy the protocol.
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---
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### Issue 11: `test_phase1_llm_client.py` is entirely empty ✅ Fixed
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**File**: `test/test_phase1_llm_client.py`
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**Fix applied**: Implemented all 3 tests:
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- `test_llm_call_success` — mocks `httpx.AsyncClient`, verifies response parsing
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- `test_llm_provider_switching` — verifies base URL from Settings
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- `test_llm_api_error_handling` — verifies `LLMClientError` raised on HTTP errors
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---
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### Issue 12: `conftest.py` fixtures are empty ✅ Fixed
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**File**: `test/conftest.py`
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**Fix applied**: Implemented `mock_llm_client` with `AsyncMock` and `mock_asr_client`.
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---
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### Issue 13: `sentence-transformers` in requirements but never imported ✅ Fixed
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**File**: `requirements.txt`
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**Fix applied**: Removed from `requirements.txt` (embeddings use API-based `EmbeddingClient`).
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---
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## P3 — Low (polish, minor improvements)
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### Issue 14: Global mutable state in `docx_parser.py` ✅ Fixed
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**File**: `utils/docx_parser.py`
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**Fix applied**: Replaced `_ensure_docx_imported()` / global mutation with clean try/except import at module level.
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---
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### Issue 15: `# type: ignore` in production code ✅ Fixed
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**Files**: `utils/docx_parser.py`, `services/query_decomposer.py`
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**Fix applied**: Removed all `# type: ignore` comments. `query_decomposer.py` now returns `[str(item) for item in data]` unconditionally when mixed types are present.
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---
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### Issue 16: `Optional` imported but unused ✅ Fixed
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**Files**: `utils/pdf_parser.py`, `utils/docx_parser.py`
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**Fix applied**: Removed unused `Optional` imports.
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---
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### Issue 17: Always-true assertion in acceptance test ✅ Fixed
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**File**: `test/acceptance/test_acceptance_phase1_rag_query.py:97`
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**Fix applied**: Removed `or True`, replaced with proper assertion with error message:
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```python
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assert any(
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kw.lower() in ("python", "programming", "paradigms", "support")
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for kw in keywords
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), f"Expected relevant keywords but got: {keywords}"
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```
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---
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## Execution Order
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Recommended fix order to minimize rework:
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### Batch 1: Foundation (fixes that unblock other fixes)
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1. **Issue 9** — Move hardcoded values to Settings
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2. **Issue 2** — Convert LLMClient to async (`httpx.AsyncClient`)
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3. **Issue 3** — Singleton services via FastAPI DI
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4. **Issue 10** — Add type hints / Protocol for LLMClient
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### Batch 2: Core correctness
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5. **Issue 1** — Implement proper embedding pipeline
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6. **Issue 4** — Add logging to silent error handlers
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7. **Issue 5** — Refactor routers → thin, services → thick
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### Batch 3: Cleanup
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8. **Issue 8** — Split model files
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9. **Issue 7** — Fix relevance filter prompt formatting
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10. **Issue 6** — Update plan to include `.txt` support
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### Batch 4: Tests and polish
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11. **Issue 11** — Implement LLM client tests
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12. **Issue 12** — Implement conftest fixtures
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13. **Issue 13** — Remove dead dependency
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14. **Issues 14-17** — P3 fixes
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---
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## Verification
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After all fixes:
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- [x] `pytest app/test/test_phase1_*.py -v` — **41 passed, 2 skipped** (python-docx not installed)
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- [ ] `pytest app/test/acceptance/ -v -m acceptance` — requires real API keys
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- [x] No `# type: ignore` in production code
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- [x] No `pass # TODO` in test files
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- [x] `sentence-transformers` removed from requirements.txt
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- [x] LLMClient is async (`httpx.AsyncClient`), no blocking HTTP in async endpoints
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- [x] Embedding function passed to ChromaDB collection via `get_embedding_function_settings()`
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- [x] Settings values used in routers (chunk_size, overlap, n_results, threshold)
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- [x] Model files split into `ingest.py`, `query.py`, `common.py`
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- [x] conftest.py fixtures implemented with AsyncMock
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- [x] LLM client tests implemented (3 tests)
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## Known Remaining Items (deferred to Phase 2)
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- Full FastAPI `Depends()` DI wiring — factories exist in `core/dependencies.py` but routers don't use `Depends()` yet (would require updating all test patch paths)
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- `typing.Protocol` for LLMClient interface — would require updating all test mocks
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- Router business logic extraction to `services/ingestion_service.py` — routers use settings + async properly now, full extraction is a larger refactor
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