v0.6.0

Highlights

Major release with dataset versioning, batch operations, security hardening, and infrastructure improvements.

Added

• Dataset Versioning (CAN-DEF-005 Phase 1): Logical dataset names with auto-incrementing version numbers. Atomic version allocation prevents duplicates under concurrency. New endpoints: GET /v1/datasets/versions, GET /v1/datasets/latest.
• Batch Operations (CAN-DEF-006): POST /v1/datasets/batch-create, PATCH /v1/datasets/batch-tags, POST /v1/datasets/batch-export for operating on multiple datasets in single requests.
• Docker Secrets: File-based secrets support via get_secret() utility.
• Systemd Integration: Service unit and management CLI for native Linux deployments.
• CSV Import Path Traversal Protection: New JUNIPER_DATA_IMPORT_DIR setting restricts CSV file imports to a configurable base directory.

Fixed

• Synchronized version across __init__.py, pyproject.toml, and Dockerfile
• PostgreSQL metadata/artifact split-brain on save failure
• PostgreSQL temp artifact race conditions on concurrent saves
• Advisory lock namespace collision between dataset ID and version allocation
• Generic n_classes fallback replacing spiral-specific params.n_spirals
• Removed inconsistent fallback that crashed for non-spiral generators with empty training sets

Changed

• Updated GitHub Actions (checkout v6, setup-python v6.2, upload-artifact v7, codecov v6)
• Sentry PII and traces sample rate now configurable (defaults: PII=False, sample_rate=0.1)
• AGENTS.md comprehensive audit and update
• Documentation link checker with cross-repo skip mode

Security

• CSV import generator now validates file paths against configurable import directory
• Sentry PII transmission disabled by default (was enabled)

Stats

• 849 tests passing
• 98%+ code coverage
• All pre-commit hooks passing

🤖 Generated with Claude Code

v0.4.2

Initial PyPI release of juniper-data.

Dataset generation and management service for the Juniper ecosystem.