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Async Python client library for the Octopus Energy REST API

Project description

Octopy Energy API

An async Python client library for the Octopus Energy REST API

Features

  • Async API Client - Full async/await support with httpx
  • Comprehensive Data Models - Fully typed Pydantic models for all API responses
  • Secure - Built-in API key authentication
  • Type-Safe - Complete type hints for better IDE support
  • Automatic Pagination - Seamlessly fetch all pages of data

Installation

pip install octopy-energy-api

Requirements

  • An Octopus Energy account and API key (if using the Account and Consumption endpoints)

Configuration

Create a .env file in your project root:

OCTOPUS_API_KEY=sk_live_xxxxxxxxxxxxxxxxxxxxx
OCTOPUS_ACCOUNT_NUMBER=A-XXXXXXXX

Or set environment variables directly:

export OCTOPUS_API_KEY=sk_live_xxxxxxxxxxxxxxxxxxxxx
export OCTOPUS_ACCOUNT_NUMBER=A-XXXXXXXX

Environment Variables

Variable Required Default Description
OCTOPUS_API_KEY Yes - Your Octopus Energy API key
OCTOPUS_ACCOUNT_NUMBER Yes - Your account number (A-XXXXXXXX format)
OCTOPUS_API_BASE_URL No https://api.octopus.energy/v1 API base URL

Quick Start

import asyncio
from octopy import Octopy
from octopy.config import get_settings

async def main():
    # Load settings from environment variables or .env file
    settings = get_settings()

    # Use the client as an async context manager
    async with Octopy(settings) as client:
        # Get account information
        account = await client.get_account()
        print(f"Account Number: {account.number}")

        # Get consumption data
        property = account.properties[0]
        meter_point = property.electricity_meter_points[0]
        meter = meter_point.meters[0]

        consumption = await client.get_consumption(
            meter_point=meter_point.mpan,
            serial_number=meter.serial_number,
            fuel="electricity"
        )

        for interval in consumption.results[:5]:
            print(f"{interval.interval_start}: {interval.consumption} kWh")

if __name__ == "__main__":
    asyncio.run(main())

API Coverage

Account Management

  • get_account() - Get account details with properties and meter points
  • get_grid_supply_point(postcode) - Get GSP region from postcode

Consumption Data

  • get_consumption() - Fetch electricity or gas consumption with filtering and grouping

Products & Tariffs

  • get_products() - List available products with filters
  • get_product(product_code) - Get detailed product information

Pricing

  • get_unit_rates() - Get electricity/gas unit rates with date filtering
  • get_standing_charges() - Get daily standing charges for tariffs

All paginated endpoints support automatic pagination with auto_paginate=True (default).

Usage Examples

See the examples/ directory for complete working examples:

Data Models

All API responses are returned as fully typed Pydantic models:

  • Account - Account information with properties
  • Property - Property with address and meter points
  • ElectricityMeterPoint / GasMeterPoint - Meter point details
  • Meter - Physical meter with serial number
  • Agreement - Tariff agreement with validity dates
  • ConsumptionInterval - Energy consumption for a time period
  • Product / ProductDetail - Energy product information
  • UnitRate - Unit rate pricing
  • StandingCharge - Daily standing charge
  • Region - Grid Supply Point (GSP) region enum

Development

Setup

Clone the repository and install dependencies:

git clone https://github.com/imspury/octopy-energy-api.git
cd octopy-energy-api
pip install -e ".[dev]"

Testing

This project uses pytest for testing with comprehensive test coverage.

Run Tests

# Run all tests
pytest

# Run with coverage report
pytest --cov=src/octopy --cov-report=term-missing

# Run with verbose output
pytest -v

# Run specific test file
pytest tests/test_client.py

# Run specific test
pytest tests/test_client.py::test_get_account

Test Structure

The test suite includes:

  • Unit tests for all client methods and API endpoints
  • HTTP mocking with respx for isolated testing (no real API calls)
  • Async test support with pytest-asyncio
  • Comprehensive coverage of:
  • Account management endpoints
  • Consumption data with pagination and filtering
  • Product and pricing endpoints
  • Exception handling and error cases
  • Configuration management
  • Data model validation

Code Quality

# Run linting
ruff check src/ tests/ examples/

# Auto-fix linting issues
ruff check --fix src/ tests/ examples/

# Format code
ruff format src/ tests/ examples/

# Type checking
mypy src/octopy tests

License

This project is licensed under the MIT License - see LICENSE for details.

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