imo-vmdb 1.7.0

Imports VMDB CSV files from IMO into a SQL database.

imo-vmdb

imo-vmdb imports data from the Visual Meteor Database (VMDB) of the International Meteor Organization (IMO) into a relational SQL database.

The data is enriched with computed properties (radiant positions, sun/moon position and illumination) and validated for plausibility. The processed data is accessible via a public Python API, a REST interface, CLI commands, and a Web UI.

For full documentation see https://imo-vmdb.readthedocs.io/en/stable/.

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Quick Start (Docker)

No Python required. Pull and run the web UI:

docker run --rm \
    -p 8000:8000 \
    -v ./data:/data \
    -e IMO_VMDB_DATABASE_DATABASE=/data/vmdb.db \
    ghcr.io/jankorichter/imo-vmdb

Open http://localhost:8000.

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Developer Setup

Prerequisites: Python 3.10+, Poetry

git clone https://github.com/jankorichter/imo-vmdb.git
cd imo-vmdb
poetry install
poetry run python -m imo_vmdb

With documentation extras (required to build Sphinx docs):

poetry install --extras docs

Run the web UI and REST API locally:

IMO_VMDB_DATABASE_DATABASE=./data/vmdb.db poetry run python -m imo_vmdb web_server

Opens the control panel at http://localhost:8000; the REST API is available at http://localhost:8000/api/v1.

Test the production WSGI deployment:

The production setup uses Gunicorn with imo_vmdb.httpd:wsgi_app. To verify locally:

poetry install --extras web
IMO_VMDB_DATABASE_DATABASE=./data/vmdb.db \
    poetry run gunicorn --workers 1 --threads 4 \
    --bind 127.0.0.1:8000 "imo_vmdb.httpd:wsgi_app()"

Always use --workers 1 — see docs/api.rst for details.

Run the linter:

poetry run ruff check .
poetry run ruff format --check .

To auto-fix issues:

poetry run ruff check --fix .
poetry run ruff format .

Run the test suite:

poetry run pytest

No server needs to be started beforehand. The tests use Flask's built-in test client, which calls the application directly in-process — no network, no port. A temporary SQLite database is created automatically for each test run.

Build Docker image locally:

docker compose up --build

Release

Releases are triggered by pushing a version tag. The GitHub Actions workflows in .github/workflows/ handle CI and publishing automatically:

• tests.yml — runs lint and tests on every push to any branch
• pypi.yml — builds the package and publishes it to PyPI (version tags only)
• docker.yml — builds and pushes the Docker image to GitHub Container Registry (version tags only)

Before tagging, build and verify the package locally:

make        # builds docs, then runs poetry build

Then tag and push:

git tag v1.x.y
git push origin v1.x.y