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_s3-0.2.0.tar.gz (8.6 kB view details)

Uploaded Source

Built Distribution

hopeit.aws.s3-0.2.0-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file hopeit_aws_s3-0.2.0.tar.gz.

File metadata

  • Download URL: hopeit_aws_s3-0.2.0.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for hopeit_aws_s3-0.2.0.tar.gz
Algorithm Hash digest
SHA256 6605e326f6d774a0845fae14716ea7d62a8acd1691360528307629c65435e00c
MD5 8c8c961cf41840a4d596bdfd372c5387
BLAKE2b-256 4cd4ee2e3db459974c29447f953199b091274c788187565df71f53fbba240de4

See more details on using hashes here.

File details

Details for the file hopeit.aws.s3-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for hopeit.aws.s3-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e5241eb884f6103ad1b4d122c55fe8050465976d0984c5b8a044d25fbd53ffdb
MD5 f7bd77287d5a3cfbf9a48721731b6593
BLAKE2b-256 eedb87cc9bfb29bad455b0ead675b69ce06ea69590f357f2979c63447054583d

See more details on using hashes here.

Supported by

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