CLI for managing weevr projects — scaffolding, validation, and deployment to Microsoft Fabric.
Project description
weevr-cli
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 projectweevr new— generate thread, weave, loom, and warp files from templatesweevr validate— check YAML schema conformance and reference integrityweevr deploy— sync files to a Fabric Lakehouse via the OneLake APIweevr status— diff local files against deployed stateweevr list— view project structure and dependenciesweevr schema— manage validation schemasweevr 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.
Project details
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