addon-harvester 1.0.1

Harvest add-on metadata from PyPI (by trove classifier) and npm into a normalised JSON snapshot — ships with a Plone/Volto profile.

addon-harvester

Harvests add-on/package metadata from PyPI (any trove classifier) and npm (search queries) into one normalised JSON snapshot (index.json, schema_version 3) with a 0–100 health score per add-on. Std-lib only, no framework dependency. PyPI is enumerated via the public BigQuery dataset (the only non-deprecated bulk API); XML-RPC browse and the Simple index remain as fallbacks.

The search terms live in harvest.toml — point them at any ecosystem ("Framework :: Django", "Framework :: Zope", ...). The shipped default is the Plone profile: Framework :: Plone plus Volto/Aurora npm queries, with Plone-specific enrichments (version compat, add-on categories, backend/frontend pairing) that simply stay empty for other ecosystems.

Docker (production, refresh every 4 h)

1. .env in the repo root:

BIGQUERY_PROJECT=my-gcp-project
GITHUB_TOKEN=ghp_...        # optional: GitHub stars/last-commit enrichment

2. GCP service-account key at secrets/gcp-key.json (one-time):

gcloud iam service-accounts create harvester --project=$PROJECT
gcloud projects add-iam-policy-binding $PROJECT \
    --member="serviceAccount:harvester@$PROJECT.iam.gserviceaccount.com" \
    --role=roles/bigquery.jobUser
gcloud iam service-accounts keys create secrets/gcp-key.json \
    --iam-account=harvester@$PROJECT.iam.gserviceaccount.com

3. Run:

docker compose up -d --build
docker compose logs -f harvester

The container harvests once at startup, then every 4 hours (docker/crontab), writing to ./data/index.json. Harvest flags live in HARVEST_ARGS in docker-compose.yml. Without a key file the harvester falls back to the deprecated XML-RPC API.

Local development

make install        # venv + package + dev extras (Python ≥ 3.14)
make test           # pytest — offline, all network mocked
make lint           # ruff
make harvest        # full run (ARGS="--limit 20" to override)

For BigQuery enumeration locally, log in once with gcloud auth login and set BIGQUERY_PROJECT in .env — tokens are minted automatically per run.

As a library (no I/O, snapshot returned in memory):

from addon_harvester import Harvester, HarvestOptions, write_snapshot

snapshot = Harvester(HarvestOptions(limit=20)).run()
write_snapshot(snapshot, "index.json")

Configuration

Where	What
harvest.toml	search terms: PyPI trove classifiers + npm search queries (--classifier overrides the classifiers, --config for another file)
.env	BIGQUERY_PROJECT, GITHUB_TOKEN/GH_TOKEN, optional BIGQUERY_TOKEN
python main.py --help	all CLI flags (sources, limit, workers, output, ...)

Every CLI run writes its full log to var/log/harvest-<timestamp>.log (newest 20 kept); -v only controls console verbosity.

Architecture

src/addon_harvester/
├── harvester.py    orchestration → snapshot (no I/O)
├── sources/        pypi (BigQuery → XML-RPC → Simple), npm, github enricher, bigquery client
├── normalizers/    raw registry document → TAddon
├── healthscore/    health score (rubric: healthscore/config.py)
└── http.py         retrying JSON client with per-thread keep-alive · config.py · types.py

Each source implements list_packages / fetch_package / fetch_downloads / normalize; HarvestBase.harvest() drives them identically. main.py is the CLI wrapper, Makefile the task runner.

Release

make build          # sdist + wheel into dist/
make publish        # upload to PyPI (needs credentials)