v1.0.1

Metadata and documentation improvements. No functional changes.

• Added author field to package metadata
• Added Documentation and Changelog URLs to PyPI project page
• Added Natural Language :: English, Operating System :: OS Independent, and Topic :: Database classifiers
• Fixed documentation links in README to use absolute GitHub URLs so they resolve correctly on PyPI

v1.0.0

First release of jira-ingest under the pipewell organisation.

What it does

An async Python pipeline that fetches data from Jira Cloud and loads it into any SQLAlchemy-compatible database. Supports multiple output sinks including S3, Azure Blob Storage, Google Cloud Storage, and local filesystem.

Features

• Fetches projects, boards, issues (with custom fields), and issue transitions
• Async ingestion via aiohttp for high throughput
• SQLAlchemy-backed loaders with dialect-aware upsert:
  • PostgreSQL and Redshift: INSERT ... ON CONFLICT DO NOTHING
  • SQLite: INSERT OR IGNORE
  • Other dialects: plain INSERT
• Redshift fast-path: S3 COPY with COMPUPDATE OFF STATUPDATE OFF to avoid post-load analysis hangs
• fsspec URI abstraction for sink output (S3, Azure, GCS, local)
• Pydantic v2 settings with JIRA_ env prefix
• CLI with --database-url, --sink-uri, and --redshift-iam-role options

Usage

pip install pipewell-jira-ingest[database]

jira-ingest fetch-all \
  --jira-url https://yourorg.atlassian.net \
  --database-url postgresql://user:pass@host/db

See the README for full configuration reference and how-to guides.