pyfabricops 0.2.1

A Python wrapper library for Microsoft Fabric (and Power BI) operations, providing a simple interface to the official Fabric REST APIs. Falls back to Power BI REST APIs where needed. Designed to run in Python notebooks, pure Python scripts or integrated into YAML-based workflows for CI/CD.

Welcome to pyfabricops

A Python wrapper library for Microsoft Fabric (and Power BI) operations, providing a simple interface to the official Fabric REST APIs. Falls back to Power BI REST APIs where needed. Designed to run in Python notebooks, pure Python scripts or integrated into YAML-based workflows for CI/CD. Access to the repositoy on GitHub.

🚀 Features

• Authenticate using environment variables (GitHub Secrets, ADO Secrets, AzKeyVault, .env ...)
• Manage workspaces, capacities, semantic models, lakehouses, reports and connections
• Execute Git operations and automate Fabric deployment flows (Power BI inclusive)
• Capture and Manage Git branches automatically for CI/CD scenarios
• Many use cases and scenarios including yaml for test and deploy using GitHub Actions

📃 Documentation

Access: https://pyfabricops.readthedocs.io/en/latest/

✅ Requirements

• Requires Python >= 3.10 <=3.12.10

⚒️ Installation

pip install -U pyfabricops

⚙️ Usage

Create a repository and clone it locally. Create a notebook or a script and import the library:

# Import the library
import pyfabricops as pf

Set the authentication provider

Set auth environment variables acording to your authentication method

Environment variables (.env, GitHub Secrets, Ado Secrets...)

pf.set_auth_provider("env")

This is the default behavior. You can set these in a .env file or directly in your environment (GitHub Secrets, ADO Secrets...).

Example .env file:

FAB_CLIENT_ID=your_client_id_here
FAB_CLIENT_SECRET=your_client_secret_here
FAB_TENANT_ID=your_tenant_id_here
FAB_USERNAME=your_username_here   # Necessary for some functions with no SPN support
FAB_PASSWORD=your_password_here   # Necessary for some functions with no SPN support

Azure Key Vault

pf.set_auth_provider("vault")

Ensure you have the required Azure Key Vault secrets set:

AZURE_CLIENT_ID=your_azure_client_id_here
AZURE_CLIENT_SECRET=your_azure_client_secret_here
AZURE_TENANT_ID=your_azure_tenant_id_here
AZURE_KEY_VAULT_NAME=your_key_vault_name_here

OAuth (Interactive)

pf.set_auth_provider("oauth")

This will open a browser window for user authentication.

🔧 Microsoft Fabric Compatibility

PyFabricOps is fully compatible with Microsoft Fabric notebooks. The library provides multiple authentication options:

import pyfabricops as pf

# Check available authentication providers
providers = pf.get_available_auth_providers()
print(f"Available providers: {providers}")

# Method 1: Automatic (recommended for Fabric notebooks)
if providers['auto']:
    pf.set_auth_provider('auto')  # Uses current authenticated context

# Method 2: Environment variables
elif providers['env']:
    pf.set_auth_provider('env')

# Method 3: Interactive OAuth
elif providers['oauth']:
    pf.set_auth_provider('oauth')

Authentication Providers:

• auto: Automatically detects and uses current authentication context (ideal for Microsoft Fabric, Azure notebooks, etc.)
• env: Uses environment variables (good for development/CI/CD)
• oauth: Interactive browser authentication (fallback option)
• vault: Azure KeyVault (may not be available in Fabric)

For more details, see FABRIC_COMPATIBILITY.md.

> Create a repository and clone it locally.
> Prepare your environment with the required variables according to your authentication method (GitHub Secrets, ADO Secrets, AzKeyVault, .env ...)


### Branches configuration

Create a branches.json file in the root of your repository to define your branch mappings:

```json
{
    "main": "-PRD",
    "master": "-PRD",
    "dev": "-DEV",
    "staging": "-STG"
}

This file maps your local branches to Fabric branches, allowing the library to automatically manage branch names for CI/CD scenarios.

🪄 Examples

Visit: https://github.com/alisonpezzott/pyfabricops-examples

🧬 Project Structure

src/
└── pyfabricops/
    ├── api/
    │   ├── __init__.py
    │   ├── api.py
    │   ├── auth.py
    │   └── scopes.py
    ├── cd/
    │   ├── __init__.py
    │   └── support_files.py
    ├── core/
    │   ├── __init__.py
    │   ├── capacities.py
    │   ├── connections.py
    │   ├── folders.py
    │   ├── gateways.py
    │   ├── gateways_encryp_creds.py
    │   ├── git.py
    │   └── workspaces.py
    ├── helpers/
    │   ├── __init__.py
    │   ├── dataflows_gen1.py
    │   ├── dataflows_gen2.py
    │   ├── data_pipelines.py
    │   ├── folders.py
    │   ├── items.py
    │   ├── lakehouses.py
    │   ├── notebooks.py
    │   ├── reports.py
    │   ├── semantic_models.py
    │   ├── warehouses.py
    │   └── workspaces.py
    ├── items/
    │   ├── __init__.py
    │   ├── dataflows_gen1.py
    │   ├── dataflows_gen2.py
    │   ├── data_pipelines.py
    │   ├── items.py
    │   ├── lakehouses.py
    │   ├── notebooks.py
    │   ├── reports.py
    │   ├── semantic_models.py
    │   ├── shortcuts.py
    │   └── warehouses.py
    ├── utils/
    │   ├── __init__.py
    │   ├── decorators.py
    │   ├── exceptions.py
    │   ├── logging.py
    │   ├── schemas.py
    │   └── utils.py
    ├── __init__.py
    └── _version.py

Logging configuration

The custom logging system implemented in pyfabricops provides a complete and flexible solution for monitoring and debugging the library.

🎨 Custom Formatting

• Automatic colors: Different colors for each log level (DEBUG=Cyan, INFO=Green, WARNING=Yellow, ERROR=Red, CRITICAL=Magenta)
• Multiple styles:
  • minimal: Only timestamp, level and message
  • standard: Includes module name in compact form
  • detailed: Complete format with all information

🎛️ Easy Configuration

import pyfabricops as pf

# Basic configuration
pf.setup_logging(level='INFO', format_style='standard')

# Debug mode for development
pf.enable_debug_mode(include_external=False)

# Disable logging completely
pf.disable_logging()

# Reset to default configuration
pf.reset_logging()

For complete logging configuration options, refer to the logging_system.md

❤️Contributing

1. Fork this repository
2. Create a new branch (feat/my-feature)
3. Run poetry install to set up the development environment
4. Run poetry run task test to run tests
5. Submit a pull request 🚀

🚀 Publishing

For Maintainers

To publish a new version to PyPI:

1. Update the version in pyproject.toml and src/pyfabricops/_version.py
2. Commit and push changes
3. Create a new release on GitHub with a tag (e.g., v0.1.0)
4. The GitHub Action will automatically:
   • Run tests
   • Build the package
   • Publish to PyPI

Testing with TestPyPI

# Configure TestPyPI
poetry config repositories.testpypi https://test.pypi.org/legacy/
poetry config pypi-token.testpypi <your-testpypi-token>

# Build and publish to TestPyPI
poetry build
poetry publish -r testpypi

# Install from TestPyPI
pip install --index-url https://test.pypi.org/simple/ pyfabricops

Prerequisites for Publishing

• Set up a PyPI account at https://pypi.org/
• Generate an API token at https://pypi.org/manage/account/token/
• Add the token as PYPI_TOKEN secret in GitHub repository settings

🐞 Issues

If you encounter any issues, please report them at https://github.com/alisonpezzott/pyfabricops/issues

⚖️ License

This project is licensed under the MIT License – see the LICENSE file for details.

🌟 Acknowledgements

Created and maintained by Alison Pezzott Feedback, issues and stars are welcome 🌟