surquest-GCP-dataform-cli 0.0.1rc1

`dataform_cli` is a lightweight Python-based command-line interface (CLI) designed to simplify **file synchronization between local directories and Google Cloud Dataform workspaces**.

Dataform CLI

🎯 Objective & Motivation

dataform_cli is a lightweight Python-based command-line interface (CLI) designed to simplify file synchronization between local directories and Google Cloud Dataform workspaces. The primary goal is to accelerate development workflows by allowing easy push and pull operations of .sqlx, .js, and other source files while respecting .gitignore rules.

It helps developers:

• Avoid repetitive UI interactions.
• Manage versioning consistently with .gitignore.
• Automate CI/CD tasks for Dataform repositories.

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🚀 Features

• ✅ Push local files to a specified Dataform workspace.
• ✅ Pull files from a Dataform workspace to a local directory.
• ✅ Support for .gitignore filtering.
• ✅ Optional automatic commit and git push on file upload.
• ✅ Fixed-width logging with timestamps and log levels.
• ✅ Easy integration with Python projects or automation scripts.

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💻 Usage Examples

Push files to Dataform

python -m surquest.GCP.dataform_cli push \
  --project-id=my-gcp-project \
  --region=europe-west1 \
  --repository-id=my-repo \
  --workspace-id=dev \
  --source-dir=./src

Optional flags:

• --no-delete-remote-files: Do not remove remote files not present locally.
• --no-autocommit: Skip auto-committing workspace changes.
• --no-autopush: Skip pushing git commits.

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Pull files from Dataform

python -m surquest.GCP.dataform_cli pull \
  --project-id=my-gcp-project \
  --region=europe-west1 \
  --repository-id=my-repo \
  --workspace-id=dev \
  --target-dir=./local_workspace

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🐳 Using the CLI via Docker

You can run the CLI inside a Docker container, mounting your local source or target directory as a volume, and passing your Google credentials via an environment variable.

docker run --rm -it \
  -v /path/to/local/source:/app/source \
  -e GOOGLE_APPLICATION_CREDENTIALS=/app/creds.json \
  -v /path/to/your/creds.json:/app/creds.json:ro \
  your-docker-image-name \
  python -m surquest.GCP.dataform_cli push \
    --project-id=my-gcp-project \
    --region=europe-west1 \
    --repository-id=my-repo \
    --workspace-id=dev \
    --source-dir=/app/source

Similarly, for pulling files:

docker run --rm -it \
  -v /path/to/local/target:/app/target \
  -e GOOGLE_APPLICATION_CREDENTIALS=/app/creds.json \
  -v /path/to/your/creds.json:/app/creds.json:ro \
  your-docker-image-name \
  python -m surquest.GCP.dataform_cli pull \
    --project-id=my-gcp-project \
    --region=europe-west1 \
    --repository-id=my-repo \
    --workspace-id=dev \
    --target-dir=/app/target

Notes:

• Replace /path/to/local/source and /path/to/local/target with your actual local paths.
• The service account key JSON file is mounted inside the container at /app/creds.json.
• The GOOGLE_APPLICATION_CREDENTIALS environment variable points to this file for authentication.
• your-docker-image-name should be replaced with your built Docker image tag.

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🛠 Requirements

• Python 3.8+
• google-cloud-dataform
• Service account or user credentials with access to the Dataform API.

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📬 Contact & Support

For issues, improvements, or collaboration, please contact:

Michal Švarc ✉️ [[e-mail]] 📞 [phone]