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Python libraries helping AI coding assistants create and locally validate Microsoft Fabric items compatible with Fabric git sync.

Project description

pyfabric

CI PyPI version Python License: MIT

Python library for creating, validating, and locally testing Microsoft Fabric items that are compatible with Fabric git sync.

Installation

pip install pyfabric

Optional dependencies

pip install pyfabric[azure]    # Azure authentication and REST client
pip install pyfabric[data]     # OneLake and SQL data access
pip install pyfabric[testing]  # DuckDB Spark mock and pytest fixtures
pip install pyfabric[all]      # All optional dependencies

Quick start

Validate a Fabric workspace

from pathlib import Path
from pyfabric.items.validate import validate_workspace

results = validate_workspace(Path("my_workspace/"))
for r in results:
    status = "OK" if r.valid else "FAIL"
    print(f"{status}: {r.item_path.name}")
    for e in r.errors:
        print(f"  ERROR: {e.message}")

List workspaces with the REST client

from pyfabric.client.auth import FabricCredential
from pyfabric.client.http import FabricClient
from pyfabric.workspace.workspaces import list_workspaces

cred = FabricCredential(tenant="contoso")
client = FabricClient(cred)

for ws in list_workspaces(client):
    print(f"{ws['displayName']}  {ws['id']}")

Test notebook logic locally

# In your test file (pytest)
def test_my_notebook(fabric_spark, mock_notebookutils):
    # fabric_spark is a DuckDB-backed SparkSession replacement
    df = fabric_spark.sql("SELECT 1 AS value, 'hello' AS msg")
    rows = df.collect()
    assert rows[0]["value"] == 1

    # mock_notebookutils replaces Fabric notebookutils
    mock_notebookutils.fs.mkdirs("/output")
    mock_notebookutils.fs.put("/output/result.txt", "done")

Documentation

Document Description
Vision Project mission and design principles
Roadmap Implementation phases and current status
API Reference All sub-packages and their public functions
Testing Guide Local testing with DuckDB Spark mock and pytest fixtures
AI Prompts Sample prompts for Claude and Copilot to create Fabric items
CONTRIBUTING.md Development setup and release process
CLAUDE.md Instructions for AI coding assistants

Sub-packages

Package Purpose Install
pyfabric.client Fabric REST API authentication and HTTP client pyfabric[azure]
pyfabric.items Create, validate, and manage Fabric item definitions (included)
pyfabric.data OneLake, SQL endpoint, and lakehouse table operations pyfabric[data]
pyfabric.workspace Workspace management (list, create, roles) pyfabric[azure]
pyfabric.testing DuckDB Spark mock, notebookutils mock, pytest fixtures pyfabric[testing]

Supply Chain Security

Every release of pyfabric includes supply chain security attestations:

  • SLSA Build Provenance — each release is built in GitHub Actions and attested with SLSA provenance, verifiable with gh attestation verify
  • SBOM (SPDX) — a Software Bill of Materials in SPDX JSON format is generated for every release and attached as a release asset
  • PyPI Trusted Publisher — packages are published to PyPI via OpenID Connect with no long-lived credentials
  • Dependency Review — every PR is scanned for known vulnerabilities via pip-audit and GitHub's dependency review action

Verifying a release

# Verify SLSA provenance of a downloaded package
gh attestation verify pyfabric-*.whl --repo Creative-Planning/pyfabric

# Download the SBOM for a specific release
gh release download v0.1.0a2 --repo Creative-Planning/pyfabric --pattern "*.spdx.json"

The SBOM for each release is available at: https://github.com/Creative-Planning/pyfabric/releases/download/<tag>/pyfabric-build.spdx.json

Requirements

  • Python 3.12 or later

Developer setup

After cloning, install dev dependencies and git hooks so that lint, format, type check, and tests run automatically before commit/push:

pip install -e ".[dev]"
pre-commit install
pre-commit install --hook-type pre-push

See CONTRIBUTING.md for full details.

Contributing

This project is maintained by Creative Planning. We do not accept external contributions at this time. You are welcome to fork and modify under the MIT license. See CONTRIBUTING.md.

License

MIT

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