Skip to main content

Utilities and tools for Google Cloud

Project description

pdum_gcp

CI PyPI Python 3.12+ License: MIT Code style: ruff

GCP utils

What This Project Is

pdum_gcp is a toolbox for seasoned administrators who need to nurture Google Cloud estates that sprawl across multiple organizations. Think of the kind of tasks you might script in Terraform, except you want an interactive, incremental workflow that lets one trusted human explore, prototype, and tidy up quickly. This library intentionally does not scale beyond a tiny circle of grizzled operators—ideally a team of one—because it assumes every participating identity has god-like access across those organizations.

The focus here is admin hygiene: inspecting estates, checking IAM, enabling required APIs, and wiring up billing or quota projects. Once the scaffolding exists, you drop back into the regular Google Cloud Python clients to actually use the resources. A core tenet is “bring your own identity”: everything runs under your Application Default Credentials, which belong to you, not the orgs you help. That makes this powerful, but also dangerous—misplaced trust, compromised credentials, or sloppy copy/paste can translate into real financial and operational damage.

Use this library only if you:

  • Operate in small, high-trust environments where rapid create/tear-down cycles matter.
  • Regularly hop between organizations or short-lived projects.
  • Understand that you are working with loaded weapons and accept the risk.

Feature Highlights

  • Pre-flight your environment with doctor() to confirm identity, quota project, and API readiness.
  • Explore estates with list_organizations(), walk_projects(), and container helpers.
  • Resolve quota projects and billing details with quota_project() and billing sentinels.
  • Inspect IAM with get_iam_policy() and list_roles() before making changes.
  • Map friendly API names to service IDs via lookup_api() and the bundled catalog.

🧭 Ready to see it in action? Follow the Interactive Admin Tutorial for a guided, output-rich walkthrough (with sensitive identifiers anonymized).

Development

This project uses UV for dependency management.

Setup

# Install UV if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone the repository
git clone https://github.com/habemus-papadum/pdum_gcp.git
cd pdum_gcp

# Provision the entire toolchain (uv sync, pnpm install, widget build, pre-commit hooks)
./scripts/setup.sh

Important for Development:

  • ./scripts/setup.sh is idempotent—rerun it after pulling dependency changes
  • Use uv sync --frozen to ensure the lockfile is respected when installing Python deps

Running Tests

# Run all tests
uv run pytest

# Run a specific test file
uv run pytest tests/test_example.py

# Run a specific test function
uv run pytest tests/test_example.py::test_version

# Run tests with coverage
uv run pytest --cov=src/pdum/gcp --cov-report=xml --cov-report=term

Code Quality

# Check code with ruff
uv run ruff check .

# Format code with ruff
uv run ruff format .

# Fix auto-fixable issues
uv run ruff check --fix .

Building

# Build Python + TypeScript artifacts
./scripts/build.sh

# Or build just the Python distribution artifacts
uv build

Publishing

# Build and publish to PyPI (requires credentials)
./scripts/publish.sh

Automation scripts

  • ./scripts/setup.sh – bootstrap uv, pnpm, widget bundle, and pre-commit hooks
  • ./scripts/build.sh – reproduce the release build locally
  • ./scripts/pre-release.sh – run the full battery of quality checks
  • ./scripts/release.sh – orchestrate the release (creates tags, publishes to PyPI/GitHub)
  • ./scripts/test_notebooks.sh – execute demo notebooks (uses ./scripts/nb.sh under the hood)
  • ./scripts/setup-visual-tests.sh – install Playwright browsers for visual tests

License

MIT License - see LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

habemus_papadum_gcp-0.3.0.tar.gz (191.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

habemus_papadum_gcp-0.3.0-py3-none-any.whl (34.8 kB view details)

Uploaded Python 3

File details

Details for the file habemus_papadum_gcp-0.3.0.tar.gz.

File metadata

  • Download URL: habemus_papadum_gcp-0.3.0.tar.gz
  • Upload date:
  • Size: 191.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for habemus_papadum_gcp-0.3.0.tar.gz
Algorithm Hash digest
SHA256 09cadccc31de3bc4f6c15d1ab05e7ddaa60a2be9722b04e8c5208c4253ac05c6
MD5 dff8d557bf5a6e068092bbf9dbf11d73
BLAKE2b-256 c01356568025615317ca71f3ea82a99ba549b388025ba190742e981a2c5311ff

See more details on using hashes here.

File details

Details for the file habemus_papadum_gcp-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for habemus_papadum_gcp-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b809ea45228bf590a42c383f48bbb88146cfa9c00cf1466fbd59b4722b9eac3b
MD5 a9923c7925722e88cdf59c596ba1522f
BLAKE2b-256 4f88091882d791f455f1655958f2a7b25d465b076b52c560ab1fd40f945667e1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page