managing-python-dependencies

Python Dependency Management Rule

[!CAUTION]

BEFORE any pip install: You MUST first detect the project's existing dependency manager and use it correctly. Do NOT override the project's established tooling.

[!NOTE]

Pre-Flight Environment Check Bundling: You MUST NOT run multiple sequential 1-line shell check commands (e.g. separate commands for python version, pyspark version, auth check, pip list). Combine all pre-flight environment and package availability probes into a single composite python one-liner or shell check step.

Example composite probe:

python3 -c "import sys, importlib.util; print(f'Python {sys.version.split()[0]}'); [(print(f'{pkg}: {__import__(pkg).__version__}') if importlib.util.find_spec(pkg) else print(f'{pkg}: not found')) for pkg in ['pyspark', 'google.cloud.bigquery']]"

This bundling also applies to dependency manager detection; use a single ls or find command to check for all potential dependency manager configuration and lock files at once (e.g. ls uv.lock poetry.lock Pipfile.lock requirements.txt pyproject.toml).

Dependency Manager Detection

Before installing ANY Python package, check the workspace for these files in priority order:

1. Signal: uv.lock or pyproject.toml with [tool.uv]
   • Tool: uv
   • Install: uv add <package>
   • Setup: uv sync
2. Signal: pyproject.toml with [tool.poetry]
   • Tool: Poetry
   • Install: poetry add <package>
   • Setup: poetry install
3. Signal: Pipfile
   • Tool: Pipenv
   • Install: pipenv install <package>
   • Setup: pipenv install
4. Signal: environment.yml
   • Tool: Conda
   • Install: conda install <package>
   • Setup: conda env create -f environment.yml
5. Signal: requirements.txt only
   • Tool: venv + pip
   • Install: .venv/bin/pip install <package>
   • Setup: .venv/bin/pip install -r requirements.txt
6. Signal: None of the above
   • Tool: venv + pip (default)
   • Install: .venv/bin/pip install <package>
   • Setup: .venv/bin/pip install -r requirements.txt