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Python client library for Athena API - CSAM detection and content classification

Project description

Athena Client Library

This is a Python library for interacting with the Athena API (Resolver Unknown CSAM Detection).

Authentication

The Athena client supports two authentication methods:

Static Token Authentication

from resolver_athena_client.client.channel import create_channel

# Use a pre-existing authentication token
channel = create_channel(host="your-host", auth_token="your-token")

OAuth Credential Helper (Recommended)

The credential helper automatically handles OAuth token acquisition and refresh:

import asyncio
from resolver_athena_client.client.channel import CredentialHelper, create_channel_with_credentials

async def main():
    # Create credential helper with OAuth settings
    credential_helper = CredentialHelper(
        client_id="your-oauth-client-id",
        client_secret="your-oauth-client-secret",
        auth_url="https://crispthinking.auth0.com/oauth/token",  # Optional, this is default
        audience="crisp-athena-live"  # Optional, this is default
    )

    # Create channel with automatic OAuth handling
    channel = await create_channel_with_credentials(
        host="your-host",
        credential_helper=credential_helper
    )

asyncio.run(main())

Environment Variables

For the OAuth example to work, set these environment variables:

export OAUTH_CLIENT_ID="your-client-id"
export OAUTH_CLIENT_SECRET="your-client-secret"
export ATHENA_HOST="your-athena-host"

OAuth Features

  • Automatic token refresh: Tokens are automatically refreshed when they expire
  • Thread-safe: Multiple concurrent requests will safely share cached tokens
  • Error handling: Comprehensive error handling for OAuth failures
  • Configurable: Custom OAuth endpoints and audiences supported

See examples/oauth_example.py for a complete working example.

Examples

  • examples/example.py - Basic classification example with static token
  • examples/oauth_example.py - OAuth authentication with credential helper
  • examples/create_image.py - Image generation utilities

TODO

Async pipelines

Make pipeline style invocation of the async interators such that we can

async read file -> async transform -> async classify -> async results

More async pipeline transformers

Add additional pipeline transformers for:

  • Image format conversion
  • Metadata extraction
  • Error recovery and retry

Development

This package uses uv to manage its packages.

To install dependencies, run:

uv sync --dev

To build the package, run:

uv build

To run the standard tests, run:

pytest -m 'not functional'

Developers wishing to run the functional tests should see the Functional Tests section below.

To lint and format the code, run:

ruff check
ruff format

There are pre-commit hooks that will lint, format, and type check the code. Install them with:

pre-commit install

To re-compile the protobuf files, run from the repository's root directory:

bash scripts/compile_proto.sh

Functional Tests

Functional tests require an Athena environment to run against.

Pre-Requisites

You will need:

  • An Athena host URL.
  • An OAuth client ID and secret with access to the Athena environment.
  • An affiliate with Athena enabled.
  • imagemagick installed on your system and on your path at magick.

Preparing your environment

You can set up the environment variables in a .env file in the root of the repository, or in your shell environment:

You must set the following variables:

ATHENA_HOST=your-athena-host (e.g. localhost:5001)
ATHENA_TEST_AFFILIATE=your-affiliate-id
OAUTH_CLIENT_ID=your-oauth-client-id
OAUTH_CLIENT_SECRET=your-oauth-client-secret
ATHENA_TEST_PLATFORM_TOKEN=a standard platform token - this should be rejected
as only athena specific tokens are accepted.
ATHENA_TEST_EXPIRED_TOKEN=a valid but expired token - this should be rejected.

You can optionally set the following variables:

OAUTH_AUTH_URL=your-oauth-auth-url (default: https://crispthinking.auth0.com/oauth/token)
OAUTH_AUDIENCE=your-oauth-audience (default: crisp-athena-live)
TEST_IMAGE_COUNT=number-of-images-to-test-with (default: 5000) - this is the
number of images the _streaming_ test will use.
TEST_MIN_INTERVAL=minimum-interval-in-ms (default: None, send as fast as
possible) - this is the minimum interval between
images for the _streaming_ test.
ATHENA_NON_EXISTENT_AFFILIATE=non-existent-affiliate-id (default:
thisaffiliatedoesnotexist123) - this is used to test error handling.
ATHENA_NON_PERMITTED_AFFILIATE=non-permitted-affiliate-id (default:
thisaffiliatedoesnothaveathenaenabled) - this is used to test error handling.

Then run the functional tests with:

pytest -m functional

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