ossr-codecontext 0.0.0a19

Index source repositories into a code graph with CLI, MCP, Web API/UI, and AI analysis workflows

codecontext (Python)

codecontext indexes source repositories into a SQLite-backed code graph and exposes:

• CLI workflows (index, query, stats, docs, ai, web, mcp)
• MCP-compatible tool server (stdio via mcp, HTTP via web)
• Web API/UI for graph/stats/tree exploration

This repository is now Python-first and uses uv for environment and command execution.

Dependency management is defined in pyproject.toml and locked in uv.lock.

Requirements

• Python 3.12+
• uv

Quick Start

uv sync --all-extras
uv run python -m codecontext -version

Common Commands

uv run python -m codecontext index .
uv run python -m codecontext stats
uv run python -m codecontext query entity Parse

uv run python -m codecontext docs -output docs.md
LLM_PROVIDER=mock uv run python -m codecontext docs -ai -output ai-docs.md

LLM_PROVIDER=mock uv run python -m codecontext ai query "what does this repo do"
uv run python -m codecontext web 8080  # Web UI + API + HTTP MCP at /mcp
uv run python -m codecontext mcp       # MCP stdio for CLI/editor integrations

When running web, all HTTP surfaces share one port:

• UI: GET /
• Web API: GET /api/*
• MCP HTTP: POST /mcp

LLM Providers

Supported providers:

• ollama (default)
• openai
• azure
• mock (useful for local tests)

Environment variables:

# Provider selection
export LLM_PROVIDER=ollama
export LLM_MODEL=llama2

# Common settings
export LLM_TEMPERATURE=0.7
export LLM_MAX_TOKENS=2000
export LLM_TIMEOUT_SECONDS=30

# Ollama
export OLLAMA_BASE_URL=http://localhost:11434

# OpenAI
export OPENAI_API_KEY=...
export OPENAI_MODEL=gpt-4o-mini

# Azure OpenAI
export AZURE_OPENAI_ENDPOINT=...
export AZURE_OPENAI_KEY=...
export AZURE_OPENAI_DEPLOYMENT=...
export AZURE_OPENAI_API_VERSION=2024-02-15-preview

Development

uv run pytest -q
uv run pytest -q tests/test_web_api.py tests/test_mcp_tools.py

Cross-Platform Development (Linux + Windows)

Use this quick checklist to ensure the project is installable and usable on both platforms:

1. Sync and run tests:

uv sync --all-extras
uv run pytest -q

2. Build distributables and verify local install:

uv build
python -m pip install dist/*.whl
codecontext -version

3. Validate core command paths:

codecontext index .
codecontext stats
codecontext web 8080

Backend note:

• Non-Windows default backend: falkordblite
• Windows default backend: sqlite (the falkordblite dependency is not available on win32)

CI enforces this on both Linux and Windows via .github/workflows/test-cli.yml.

Publish Public Package (PyPI)

This repository publishes Python packages through GitHub Actions with:

• Primary path: .github/workflows/release.yml (builds, creates release, uploads artifacts, and publishes)
  • all versions (stable and prerelease) publish to PyPI
• Fallback path: .github/workflows/publish-pypi.yml (auto on release event or manual run by tag)

One-time setup

1. Create project on PyPI:

   • Create an account on PyPI.
   • Create a project named ossr-codecontext.

2. Configure Trusted Publishing on PyPI:

   • Publisher type: GitHub
   • Repository: your org/user + repo name
   • Workflow: release.yml
   • Environment: leave empty unless you use one

3. Ensure the package metadata in pyproject.toml is public-ready:

   • name, version, description, readme, requires-python, authors
   • add license, classifiers, urls if needed

Package naming note:

• PyPI distribution name: ossr-codecontext
• CLI command: codecontext
• Python import package: codecontext

Release flow

1. Run the Release workflow manually with a version like v1.2.3 or v1.2.3-beta.1.
2. The workflow builds and attaches artifacts to the GitHub Release.
3. Publishing occurs in the same release workflow run:
   • stable and prerelease -> PyPI

If release-event automation is blocked by repository token policy, run publish-pypi.yml manually and pass the release tag.

If a release job is re-run for the same version, existing files on PyPI are skipped. In normal use, publish a new version for each release.

Verify install

Install from PyPI:

pip install ossr-codecontext

Notes

• Default graph database: .codecontext.db
• Override with -graph /path/to/graph.db
• Startup helper script: ./codecontext_startup.sh