Skip to main content

Hopeit Engine S3 Storage Toolkit

Project description

hopeit.aws.s3 plugin

This library is part of hopeit.engine:

visit: https://github.com/hopeit-git/hopeit.engine

This library provides a ObjectStorage class to store and retrieve @dataobjects and files from S3 and compatible services as a plugin for the popular hopeit.engine reactive microservices framework.

It supports the prefix setting, which is a prefix to be used for every element (object or file) stored in the S3 bucket. This prefix can be used to organize and categorize stored data within the bucket. Additionally, it supports the partition_dateformat setting, which is a date format string used to prefix file names for partitioning saved files into different subfolders based on the event timestamp (event_ts()). For example, using %Y/%m/%d will store each data object in a folder structure like year/month/day/, providing a way to efficiently organize and retrieve data based on date ranges. These settings can be used together to achieve more granular organization of data within the bucket.

Installation

Python library that provides helpers to store and retrieve @dataobjects and files to S3-compatible services

pip install hopeit.aws.s3

Usage

from hopeit.dataobjects import dataobject, dataclass
from hopeit.aws.s3 import ObjectStorage, ObjectStorageSettings, ConnectionConfig

# Create a connection configuration
conn_config = ConnectionConfig(
    aws_access_key_id="your-access-key-id",
    aws_secret_access_key="your-secret-access-key",
    region_name="your-region-name"
)

# Create settings for ObjectStorage
settings = ObjectStorageSettings(
    bucket="your-bucket-name",
    connection_config=conn_config
)

# Create an ObjectStorage instance
storage = ObjectStorage.with_settings(settings)

# Connect to the ObjectStorage
await storage.connect()

# hopeit.engine data object
@dataobject
@dataclass
class Something:
    key: str
    value: str

something = Something(key="my_key", value="some_value")

# Store a data object
await storage.store(key=something.key, value=something)

# Retrieve a data object
retrieved_object = await storage.get(key=something.key, datatype=Something)
print(retrieved_object)

Example Usage

In the apps/examples/aws-example/ directory, you can find a full example hopeit.engine app that demonstrates the usage of the hopeit.aws.s3 plugin within the hopeit.engine framework. This example showcases how to store and retrieve @dataobjects and files from S3 using the ObjectStorage class.

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

hopeit_aws_s3-0.3.0.tar.gz (8.5 kB view details)

Uploaded Source

Built Distribution

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

hopeit_aws_s3-0.3.0-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file hopeit_aws_s3-0.3.0.tar.gz.

File metadata

  • Download URL: hopeit_aws_s3-0.3.0.tar.gz
  • Upload date:
  • Size: 8.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.14

File hashes

Hashes for hopeit_aws_s3-0.3.0.tar.gz
Algorithm Hash digest
SHA256 f71d855567fb361aa4c57940c8c82c133409d6806fc39b90f1d3cd1968a64849
MD5 16a57813748bd018697485321e6fb289
BLAKE2b-256 137942e0b310b63aebecee8c08bb216320f380654702076b8ee2e6f931728684

See more details on using hashes here.

File details

Details for the file hopeit_aws_s3-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for hopeit_aws_s3-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8ad82b6686445ddd265b7e2a7d3fa74f6ed2db90662432d50be9d75b0f6e5955
MD5 171149e430296b65d64dc1d9467d89aa
BLAKE2b-256 21be73c910432f0e387c5200d7e05171d30c900e071d21611d70f9faca4b3753

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