Files
zeekay 1b367e2b62 chore: rebase the tree onto upstream master
The tree was a debranded snapshot of upstream taken around 2026-02-20, and
upstream has moved about five months since. This replaces it with upstream
master, mechanically re-derived: bin/debrand does the rename, and the
pipeline and squashed migrations are restored from the shipped tree.

Not a merge. The previous import replaced the tree wholesale in a single
commit, so there is no shared content history to merge against. Reproducing
the rename on the new tree is what actually converges.

What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints,
compose files, LLM.md, and insights/migrations. The squashed initial
migration is load-bearing — the live database records it by name, so
upstream's ~918 individual migrations cannot come back.

Nine products are dropped as unreferenced. Twenty-one more that we do not run
are kept anyway because the core app still imports them; unpicking those is a
refactor and does not belong in a rebase.

This base does not build yet, and the reasons are not in the rename:
upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against
our 4.2, and the dependency manifests still name upstream packages that we
republish under our own names. Those are decisions, not renames.
2026-08-01 15:44:40 -07:00

4.7 KiB

name, description
name description
setup-web-tests Set up Python test environment in Claude Code for web where flox is unavailable. Use when you need to run backend tests and `uv sync` fails due to Python version mismatch.

Claude Code for web — test setup

This document describes how to set up and run Python tests in a Claude Code for web environment, where flox is not available.

If you get stuck following these instructions, please bail out to the user and seek their guidance. Please suggest that they update this guide.

Problem

The project requires a specific Python version pinned in pyproject.toml (check requires-python), but:

  • Claude Code for web environments may have a different system Python version
  • uv python install <version> may fail if the version isn't yet indexed by uv
  • uv sync enforces the exact version constraint and will fail with the wrong Python version

Solution: Download Python from python-build-standalone

Download the exact version from python-build-standalone GitHub releases. The script below auto-detects the required version from pyproject.toml:

# Auto-detect the required version from pyproject.toml
REQUIRED_VERSION=$(grep requires-python pyproject.toml | grep -oP '[\d.]+')
echo "Required Python: $REQUIRED_VERSION"

# Get the latest release tag from python-build-standalone
RELEASE_TAG=$(curl -sL "https://api.github.com/repos/astral-sh/python-build-standalone/releases/latest" | grep '"tag_name"' | cut -d'"' -f4)

# Find and download the matching build
DOWNLOAD_URL=$(curl -sL "https://api.github.com/repos/astral-sh/python-build-standalone/releases/latest" | \
  grep "browser_download_url" | grep "$REQUIRED_VERSION" | grep "x86_64-unknown-linux-gnu-install_only.tar.gz" | head -1 | cut -d'"' -f4)

mkdir -p /tmp/python-install && cd /tmp/python-install
curl -L -o python.tar.gz "$DOWNLOAD_URL"
tar -xzf python.tar.gz

# Verify
/tmp/python-install/python/bin/python3 --version

If the auto-detection doesn't find a URL (e.g., the version is too new), browse the releases page manually and look for a cpython-<version>+<tag>-x86_64-unknown-linux-gnu-install_only.tar.gz asset.

Install dependencies and run tests

cd /home/user/insights
uv sync --python /tmp/python-install/python/bin/python3
source .venv/bin/activate

# Run a specific test (if insightscli is available)
insightscli test path/to/test.py::TestClass::test_method -v

# Or use pytest directly
pytest path/to/test.py::TestClass::test_method -v

# Run all tests in a directory
insightscli test insights/insightsql/test/ -v

Docker Services

Most tests require backend services running. If Docker is available, start them with:

docker compose -f docker-compose.dev.yml up -d

See docker-compose.dev.yml for the full list of services and ports. Some test directories have specific service requirements documented in their own configuration files.

Hosts file setup

Tests expect certain hostnames to resolve to localhost:

echo "127.0.0.1 kafka datastore datastore-coordinator objectstorage" | sudo tee -a /etc/hosts

Environment Variables

Tests require environment variables defined in .github/workflows/ci-backend.yml (see the env: section at the top of the file). You can also copy .env.example to .env for local development defaults.

Additional Setup

Frontend dist placeholders

Some tests require frontend build artifacts to exist (even if empty):

mkdir -p frontend/dist
touch frontend/dist/index.html
touch frontend/dist/layout.html
touch frontend/dist/exporter.html

SAML dependencies (if needed)

For SAML-related functionality:

sudo apt-get update
sudo apt-get install libxml2-dev libxmlsec1-dev libxmlsec1-openssl

Pytest Configuration

The pytest.ini sets:

  • pythonpath = . common
  • DJANGO_SETTINGS_MODULE = insights.settings
  • DEBUG=1, TEST=1

Default ignores: --ignore=insights/user_scripts --ignore=services/llm-gateway --ignore=common/ingestion/acceptance_tests

Debugging Installation Issues

If you encounter issues with the test setup, refer to .github/workflows/ci-backend.yml for the authoritative CI configuration. This file shows:

  • Exact Python version used in CI
  • System dependencies installed
  • Environment variables set
  • Docker services configuration
  • Test execution commands

Limitations

  • Docker unavailable: Tests requiring services will fail without Docker
  • Network restrictions: Downloading Python requires GitHub access
  • Temporal tests: Require additional Temporal service setup