cloudjack 0.1.0

A unified multi-cloud SDK for AWS and GCP services

Cloudjack

A unified Python SDK for interacting with cloud services across multiple providers (AWS, GCP) through a single, consistent interface.

Features

• Universal Factory — One function to create any cloud service client, regardless of provider.
• Secret Manager — CRUD operations for secrets (AWS Secrets Manager, GCP Secret Manager).
• Cloud Storage — CRUD operations for buckets and objects (AWS S3).
• Provider-agnostic interfaces — Swap cloud providers without changing your application code.
• Typed returns — @overload annotations give your IDE full autocomplete on returned service objects.

Project Structure

cloudjack/
├── main.py                  # Entry point
├── pyproject.toml
├── cloud/
│   ├── __init__.py          # Exports universal_factory
│   ├── factory.py           # Universal factory with provider registry
│   ├── base/
│   │   ├── __init__.py
│   │   ├── secret_manager.py   # SecretManagerBlueprint (ABC)
│   │   ├── storage.py          # CloudStorageBlueprint (ABC)
│   │   └── exceptions.py       # Shared exception classes
│   ├── aws/
│   │   ├── __init__.py
│   │   ├── factory.py          # AWS service registry
│   │   ├── secret_manager.py   # AWS Secrets Manager implementation
│   │   └── storage.py          # AWS S3 implementation
│   └── gcp/
│       ├── __init__.py
│       ├── factory.py          # GCP service registry
│       └── secret_manager.py   # GCP Secret Manager implementation

Installation

Requires Python >= 3.14.

uv sync

Usage

Secret Manager

from cloud import universal_factory

# AWS
client = universal_factory(
    service_name="secret_manager",
    cloud_provider="aws",
    config={
        "aws_access_key_id": "...",
        "aws_secret_access_key": "...",
        "region_name": "ap-south-1",
    },
)

secret = client.get_secret("my_secret")
client.create_secret("new_secret", "s3cr3t_value")
client.update_secret("new_secret", "updated_value")
client.delete_secret("new_secret")

# GCP — same interface, different provider
client = universal_factory(
    service_name="secret_manager",
    cloud_provider="gcp",
    config={...},
)

Cloud Storage (AWS S3)

from cloud import universal_factory

storage = universal_factory(
    service_name="storage",
    cloud_provider="aws",
    config={
        "aws_access_key_id": "...",
        "aws_secret_access_key": "...",
        "region_name": "us-east-1",
    },
)

# Buckets
storage.create_bucket("my-bucket")
buckets = storage.list_buckets()
storage.delete_bucket("my-bucket")

# Objects
storage.upload_file("my-bucket", "data.csv", "/local/data.csv")
storage.download_file("my-bucket", "data.csv", "/local/copy.csv")
content = storage.get_object("my-bucket", "data.csv")
keys = storage.list_objects("my-bucket", prefix="data/")
storage.delete_object("my-bucket", "data.csv")

# Pre-signed URLs
url = storage.generate_signed_url("my-bucket", "data.csv", expiration=3600)

Adding a New Cloud Provider

1. Create a directory under cloud/<provider>/.
2. Implement service classes inheriting from the base blueprints (SecretManagerBlueprint, CloudStorageBlueprint).
3. Create a factory.py with a SERVICE_REGISTRY dict mapping service names to classes.
4. Register it in cloud/factory.py under _FACTORY_REGISTRY.

Exceptions

Exception	Description
SecretManagerError	Base exception for secret manager operations
SecretNotFoundError	Secret does not exist
SecretAlreadyExistsError	Secret already exists
StorageError	Base exception for storage operations
BucketNotFoundError	Bucket does not exist
BucketAlreadyExistsError	Bucket already exists
ObjectNotFoundError	Object does not exist

License

MIT

Roadmap

Proposals and future work to make Cloudjack a production-ready library.

Providers

• Azure support — Implement Azure Blob Storage and Azure Key Vault behind the existing blueprints.
• DigitalOcean Spaces — S3-compatible, minimal adapter needed.

New Service Blueprints

• Queue/Messaging — Unified interface for AWS SQS, GCP Pub/Sub, Azure Service Bus.
• IAM/Auth — Role and policy management across providers.
• DNS — Route53, Cloud DNS, Azure DNS under one blueprint.
• Compute — Basic VM lifecycle (create, start, stop, terminate).
• Logging — CloudWatch Logs, Cloud Logging, Azure Monitor.

Core Improvements

• Async support — Async variants of all service methods via asyncio.to_thread + AsyncMixin.
• Connection pooling — Singleton ClientCache reuses clients per provider+config.
• Retry policies — Configurable retry/backoff decorator in cloud.base.retry.
• Config validation — Pydantic models for provider configs (AWSConfig, GCPConfig).
• Credential chain — Auto-resolve credentials from env vars via Pydantic model_validator.
• Logging & observability — Structured JSON logging with request IDs in cloud.base.logger.

Packaging & Distribution

• Publish to PyPI — Proper packaging with extras (pip install cloudjack[aws], cloudjack[gcp]). Use ./publish.sh.
• Optional dependencies — Only install boto3 if using AWS, google-cloud-* if using GCP.
• CLI tool — cloudjack --provider aws --service storage list-buckets.

Testing & CI

• Integration tests — Test against real cloud APIs (LocalStack for AWS, emulator for GCP) in CI.
• Coverage reporting — Enforce minimum coverage threshold (80%) in pyproject.toml.
• GitHub Actions workflow — Automated lint, test, type-check on push/PR.
• Type checking — mypy config in pyproject.toml, runs in CI.

Documentation

• API reference — Auto-generated from docstrings via mkdocs + mkdocstrings. Run uv run mkdocs serve.
• Migration guide — docs/migration.md — switching from raw SDKs to Cloudjack.
• Contributing guide — CONTRIBUTING.md — standards for adding providers and services.