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CLI for managing weevr projects — scaffolding, validation, and deployment to Microsoft Fabric.

Project description

weevr-cli

PyPI version Python License CI

CLI for managing weevr projects — scaffolding, validation, and deployment to Microsoft Fabric.

Documentation · Getting Started · CLI Reference

What it does

The weevr engine runs inside Fabric notebooks; the CLI runs on your workstation and in CI/CD pipelines.

  • weevr init — scaffold a new project
  • weevr new — generate thread, weave, loom, and warp files from templates
  • weevr validate — check YAML schema conformance and reference integrity
  • weevr deploy — sync files to a Fabric Lakehouse via the OneLake API
  • weevr status — diff local files against deployed state
  • weevr list — view project structure and dependencies
  • weevr schema — manage validation schemas
  • weevr plugins — manage CLI plugins

Installation

# With uv (recommended)
uv tool install weevr-cli

# With pipx
pipx install weevr-cli

# With pip
pip install weevr-cli

Quick Start

weevr init my-project --examples
cd my-project.weevr

weevr new thread orders
weevr validate
weevr deploy --target dev

See the Getting Started guide for a full walkthrough.

Configuration

The CLI reads .weevr/cli.yaml for deploy targets and schema settings. See the Configuration Reference for details.

Requirements

  • Python 3.11+
  • Azure CLI (az login) or equivalent credential for deploy/status commands

Development

See CONTRIBUTING.md for the full development guide.

License

Apache 2.0 — see LICENSE for details.

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