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docs: add ai-memory layer (bug patterns, architecture, debugging playbook, agent notes, initial failure archive)
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aitbc
2026-03-15 13:29:44 +00:00
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ai-memory/failure-archive/cli-missing-dependencies.md Normal file
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# Failure Archive Entry
## Issue
CLI commands failed with `ModuleNotFoundError: No module named 'numpy'` (and similar for `pandas`, `aiohttp`, `fastapi`, `uvicorn`).
## Attempt
Multiple attempts to run CLI commands after sibling branch integration; observed import errors when commands tried to load service modules.
## Approach
Initially attempted to fix by adjusting `PYTHONPATH` manually and creating a virtualenv. Discovered that the CLI virtualenv did not include required scientific and web dependencies.
## Root Cause
The `aitbc-cli` package in `pyproject.toml` did not declare dependencies that the service modules require. The coordinator-api services import `numpy`, `pandas`, `aiohttp`, `fastapi`, and `uvicorn`, but these were not listed under the CLI package's dependencies, leading to import failures when the CLI imported service modules.
## Resolution
Added the following to root `pyproject.toml` dependencies:
```toml
numpy>=1.26.0
pandas>=2.0.0
aiohttp>=3.9.0
fastapi>=0.111.0
uvicorn[standard]>=0.30.0
```
Then reinstalled the CLI in editable mode: `pip install -e ./cli`.
## Useful Artifacts
- The list of required packages is now part of the canonical dependency set.
- The fix allowed all CLI commands (`surveillance`, `ai_trading`, `advanced_analytics`, `regulatory`, `compliance`, `ai_surveillance`) to load successfully.
## Prevention
- Keep shared dependencies in a central `pyproject.toml` that covers both services and CLI.
- Implement an import test in CI that verifies CLI commands can import without error.
---
*Archived on 2026-03-15.*