Balancing Services Python Client

Python client library for the Balancing Services REST API. Access European electricity balancing market data with a modern, type-safe Python interface.

Features

• Type-safe: Full type hints for better IDE support and code quality
• Modern Python: Built with httpx and attrs for async support and clean data models
• Auto-generated: Generated from the official OpenAPI specification
• Comprehensive: Access to all API endpoints and data models
• Well-documented: Inline documentation and usage examples

Installation

uv pip install balancing-services

Or with pip:

pip install balancing-services

For development, install from source:

cd clients/python
uv pip install -e .

Quick Start

from balancing_services import AuthenticatedClient
from balancing_services.api.default import get_imbalance_prices
from balancing_services.models import Area
from datetime import datetime

# Create an authenticated client
client = AuthenticatedClient(
    base_url="https://api.balancing.services/v1",
    token="YOUR_API_TOKEN"
)

# Get imbalance prices for Estonia
response = get_imbalance_prices.sync_detailed(
    client=client,
    area=Area.EE,
    period_start_at=datetime.fromisoformat("2025-01-01T00:00:00Z"),
    period_end_at=datetime.fromisoformat("2025-01-02T00:00:00Z")
)

if response.status_code == 200:
    data = response.parsed
    print(f"Query period: {data.queried_period.start_at} to {data.queried_period.end_at}")
    for imbalance_prices in data.data:
        print(f"Area: {imbalance_prices.area}, Direction: {imbalance_prices.direction}")
        for price in imbalance_prices.prices:
            print(f"  {price.period.start_at}: {price.price} {imbalance_prices.currency}")

Authentication

To obtain an API token:

• Email: info@balancing.services
• Website: https://balancing.services

Include your token when creating the client:

from balancing_services import AuthenticatedClient

client = AuthenticatedClient(
    base_url="https://api.balancing.services/v1",
    token="YOUR_API_TOKEN"
)

Usage Examples

Get Balancing Energy Bids with Pagination

from balancing_services import AuthenticatedClient
from balancing_services.api.default import get_balancing_energy_bids
from balancing_services.models import Area, ReserveType
from datetime import datetime

client = AuthenticatedClient(base_url="https://api.balancing.services/v1", token="YOUR_TOKEN")

# First page
response = get_balancing_energy_bids.sync_detailed(
    client=client,
    area=Area.EE,
    period_start_at=datetime.fromisoformat("2025-01-01T00:00:00Z"),
    period_end_at=datetime.fromisoformat("2025-01-02T00:00:00Z"),
    reserve_type=ReserveType.AFRR,
    limit=100
)

if response.status_code == 200:
    data = response.parsed
    print(f"Has more: {data.has_more}")

    # Process first page
    for bid_group in data.data:
        for bid in bid_group.bids:
            print(f"Bid: {bid.volume} MW @ {bid.price} {bid_group.currency}")

    # Get next page if available
    if data.has_more and data.next_cursor:
        next_response = get_balancing_energy_bids.sync_detailed(
            client=client,
            area=Area.EE,
            period_start_at=datetime.fromisoformat("2025-01-01T00:00:00Z"),
            period_end_at=datetime.fromisoformat("2025-01-02T00:00:00Z"),
            reserve_type=ReserveType.AFRR,
            cursor=data.next_cursor,
            limit=100
        )

Async Usage

import asyncio
from balancing_services import AuthenticatedClient
from balancing_services.api.default import get_imbalance_prices
from balancing_services.models import Area
from datetime import datetime

async def fetch_prices():
    client = AuthenticatedClient(
        base_url="https://api.balancing.services/v1",
        token="YOUR_TOKEN"
    )

    response = await get_imbalance_prices.asyncio_detailed(
        client=client,
        area=Area.EE,
        period_start_at=datetime.fromisoformat("2025-01-01T00:00:00Z"),
        period_end_at=datetime.fromisoformat("2025-01-02T00:00:00Z")
    )

    if response.status_code == 200:
        return response.parsed
    return None

# Run async function
prices = asyncio.run(fetch_prices())

Error Handling

from balancing_services import AuthenticatedClient
from balancing_services.api.default import get_imbalance_prices
from balancing_services.models import Area
from datetime import datetime

client = AuthenticatedClient(base_url="https://api.balancing.services/v1", token="YOUR_TOKEN")

response = get_imbalance_prices.sync_detailed(
    client=client,
    area=Area.EE,
    period_start_at=datetime.fromisoformat("2025-01-01T00:00:00Z"),
    period_end_at=datetime.fromisoformat("2025-01-02T00:00:00Z")
)

if response.status_code == 200:
    data = response.parsed
    # Process successful response
elif response.status_code == 400:
    error = response.parsed
    print(f"Bad request: {error.detail}")
elif response.status_code == 401:
    print("Authentication failed - check your API token")
elif response.status_code == 429:
    print("Rate limited - please retry later")
else:
    print(f"Error {response.status_code}: {response.content}")

Data Models

All response and request models are fully typed using attrs. Key models include:

• ImbalancePricesResponse, ImbalanceTotalVolumesResponse
• BalancingEnergyVolumesResponse, BalancingEnergyPricesResponse, BalancingEnergyBidsResponse
• BalancingCapacityBidsResponse, BalancingCapacityPricesResponse, BalancingCapacityVolumesResponse
• Enums: Area, ReserveType, Direction, Currency, ActivationType, BidStatus

Development

Regenerating the Client

The client is generated from the OpenAPI specification. To regenerate:

cd clients/python
./generate.sh

Running Tests

# Install development dependencies
uv pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=balancing_services --cov-report=html

Code Quality

# Format code
ruff format .

# Lint code
ruff check .

# Type checking
mypy balancing_services

Automation Scripts

The Python client includes automation scripts for development and publishing:

generate-pyproject.sh

Generates pyproject.toml from the template with the current version from openapi.yaml.

Note: The version is stored in openapi.yaml (single source of truth). The pyproject.toml.draft template contains invalid TOML (version = __VERSION__ without quotes) to prevent accidental use without proper generation.

./generate-pyproject.sh

This script is automatically called by check.sh and test-and-publish.sh.

check.sh

Runs all quality checks in one command:

./check.sh

Performs:

• Generates pyproject.toml from draft
• Runs tests with pytest
• Runs linting with ruff
• Runs type checking with mypy
• Verifies the package builds

test-and-publish.sh

Complete publishing workflow with TestPyPI validation:

Setup:

1. Copy .env.sample to .env and fill in your credentials:

   cp .env.sample .env
   # Edit .env and add:
   #   BALANCING_SERVICES_API_KEY (required - for testing against live API)
   #   UV_PUBLISH_TOKEN_TESTPYPI (required)
   #   UV_PUBLISH_TOKEN_PYPI (required)
   

2. Run the publish script:

   ./test-and-publish.sh
   

Emergency option - skip API tests if the server is down:

./test-and-publish.sh --skip-api-tests

⚠️ This skips testing against the live API. Use only in emergencies!

Alternatively, export variables manually:

export BALANCING_SERVICES_API_KEY="your-api-key"
export UV_PUBLISH_TOKEN_TESTPYPI="your-testpypi-token"
export UV_PUBLISH_TOKEN_PYPI="your-pypi-token"
./test-and-publish.sh

What it does:

1. Loads credentials from .env (if present)
2. Verifies all required environment variables are set
3. Runs quality checks
4. Publishes to TestPyPI using UV_PUBLISH_TOKEN_TESTPYPI
5. Creates isolated test sandbox
6. Installs package from TestPyPI
7. Runs all example scripts against live API using BALANCING_SERVICES_API_KEY
8. Prompts to publish to PyPI using UV_PUBLISH_TOKEN_PYPI if tests pass
9. Verifies production PyPI package by installing and running examples again

Get your credentials:

• API Key: https://balancing.services
• TestPyPI: https://test.pypi.org/manage/account/token/
• PyPI: https://pypi.org/manage/account/token/

For maintainers: See ../../scripts/README.md for the complete release workflow.

Troubleshooting

Authentication Errors (401)

Problem: Receiving 401 Unauthorized responses

Solutions:

• Verify your API token is correct
• Check that the token is being passed to AuthenticatedClient
• Ensure your token hasn't expired (contact support if needed)

Bad Request Errors (400)

Problem: Receiving 400 Bad Request responses

Common causes:

• Invalid date range (end date before start date)
• Date range too large
• Invalid area code or reserve type
• Malformed datetime strings

Solution: Check the error detail in the response for specific information:

if response.status_code == 400:
    error = response.parsed
    print(f"Error detail: {error.detail}")

Empty Results

Problem: Receiving 200 OK but no data

Possible reasons:

• No data available for the requested period
• Data not yet published for recent periods
• Requesting data for a period before data collection started

Solution: Try a different time period or check if data exists for your area

Timeout Issues

Problem: Requests timing out

Solutions:

• Increase the client timeout:

client = AuthenticatedClient(
    base_url="https://api.balancing.services/v1",
    token="YOUR_TOKEN",
    timeout=30.0  # Increase from default
)

• Reduce the date range in your request
• Use pagination for large datasets

Type Errors with Enums

Problem: Type errors when passing area or reserve type

Solution: Use the provided enum classes:

from balancing_services.models import Area, ReserveType

# Correct
area=Area.EE

# Incorrect
area="EE"  # String might work but not type-safe

Documentation

• API Documentation: https://api.balancing.services/v1/documentation
• OpenAPI Spec: openapi.yaml
• Main Repository: https://github.com/balancing-services/rest-api

Support

• Website: https://balancing.services
• Email: info@balancing.services
• Issues: GitHub Issues

License

MIT License - see LICENSE for details.

Changelog

See CHANGELOG.md for version history and changes.