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aitbc/ai-memory/failure-archive/cli-missing-dependencies.md
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docs: add ai-memory layer (bug patterns, architecture, debugging playbook, agent notes, initial failure archive)
2026-03-15 13:29:44 +00:00

1.5 KiB

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:

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.