aporia 3.16.0

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Aporia Python SDK

Aporia's Python SDK is a powerful tool designed to streamline ML monitoring and observability.

Define your models, monitors, dashboards, segments, custom metrics, and other ML Observability resources as code, just like in Terraform or Pulumi. The SDK also enables you to query metrics from Aporia to integrate with other platforms.

Key Features

• ML Monitoring as Code: Make it easier to manage and track changes by managing your models, dashboards, segments, and other ML Observability resources as code.
• CI/CD Integration: Integrate with your CI/CD pipeline to automatically monitor all your models with Aporia.
• Query Metrics: Fetch metrics directly from Aporia's platform to inform decisions or to use in other applications.
• Data Source Integration: You can define and integrate multiple types of data sources, like S3, Snowflake, Glue Data Catalog, Databricks, and others. This allows your models to leverage a wide range of data for training and inference.
• Pythonic Interface: Use the familiar Python programming paradigm to interact with Aporia.

Installation

You can install the Aporia SDK using pip:

pip install aporia

Quickstart

Define models as code

import datetime
import os

from aporia import Aporia, MetricDataset, MetricParameters, TimeRange
import aporia.as_code as aporia

aporia_token = os.environ["APORIA_TOKEN"]
aporia_account = os.environ["APORIA_ACCOUNT"]
aporia_workspace = os.environ["APORIA_WORKSPACE"]

stack = aporia.Stack(
    token=aporia_token,
    account=aporia_account,
    workspace=aporia_workspace,
)

# Your model definition code goes here

stack.apply(yes=True, rollback=False, config_path="config.json")

Query Metrics using the SDK

This example shows how you can use the Aporia SDK to query metrics from a model:

from datetime import datetime
from aporia import (
    Aporia,
    MetricDataset,
    MetricParameters,
    TimeRange,
    DatasetType,
)

aporia_token = os.environ["APORIA_TOKEN"]
aporia_account = os.environ["APORIA_ACCOUNT"]
aporia_workspace = os.environ["APORIA_WORKSPACE"]

aporia_client = Aporia(
    token=aporia_token,
    account_name=aporia_account,
    workspace_name=aporia_workspace,
)

last_week_dataset = MetricDataset(
    dataset_type=DatasetType.SERVING,
    time_range=TimeRange(
        start=datetime.now() - datetime.timedelta(days=7),
        end=datetime.now(),
    ),
)

metrics = aporia_client.query_metrics(
    model_id=model_id,
    metrics=[
        MetricParameters(
            dataset=MetricDataset(dataset_type=DatasetType.SERVING),
            name="count",
        ),
    ],
)

print(f"The model had {metrics[0]} predictions last week")

Refer to the official Aporia documentation for detailed information on how to use the SDK.

Development

This package uses Poetry for dependency management. To install dependencies, use:

poetry install