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Storage functionality for Mindtrace

Project description

PyPI version License

Storage Module

This directory contains the storage-related components for the Mindtrace project. It provides abstractions and implementations for interacting with various storage backends, such as Google Cloud Storage (GCS).

Structure

  • mindtrace/storage — Contains the core storage handler implementations and interfaces.
  • pyproject.toml — Build and dependency configuration for the storage package.

Main Components

  • base.py: Defines the abstract StorageHandler interface for storage operations.
  • gcs.py: Implements GCSStorageHandler, a wrapper around Google Cloud Storage APIs for uploading, downloading, listing, and managing objects in GCS buckets.

Google Cloud Storage (GCS) Usage

Usage Example

To use the GCS storage handler:

from mindtrace.storage.gcs import GCSStorageHandler

handler = GCSStorageHandler(
    bucket_name="your-bucket-name",
    project_id="your-gcp-project-id",
    credentials_path="/path/to/service-account.json",  # Optional if using ADC
    create_if_missing=True,
)

# Upload a file
gcs_uri = handler.upload("local_file.txt", "remote/path/in/bucket.txt")

# List objects
print(handler.list_objects(prefix="remote/path/"))

Available GCS APIs

The following methods are available via the GCSStorageHandler for explicit use:

  • upload(local_path, remote_path, metadata=None): Upload a local file to a GCS bucket.
  • download(remote_path, local_path): Download a file from GCS to a local path.
  • delete(remote_path): Delete an object from the GCS bucket.
  • list_objects(prefix="", max_results=None): List objects in the bucket, optionally filtered by prefix.
  • exists(remote_path): Check if an object exists in the bucket.
  • get_presigned_url(remote_path, expiration_minutes=60, method="GET"): Generate a presigned URL for accessing an object.
  • get_object_metadata(remote_path): Retrieve metadata for a specific object.

Notes

  • Ensure you have the required Google Cloud credentials and permissions to access the target bucket.
  • For local development, you can use gcloud auth application-default login to set up default credentials.

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