Frequenz Market Metering Client

Introduction

A Python client for the Frequenz Market Metering API, providing access to historical and real-time metering samples from Market Locations across various energy markets (Germany, UK, US, Australia, etc.).

Features

• Stream metering samples from Market Locations
• Support for multiple market identifier types (MaLo-ID, MPAN, ESI-ID, NMI)
• Filtering by energy flow direction (import/export)
• Multiple metric types (active energy, active power, reactive energy/power)
• Optional resampling for time-series aggregation
• CLI tool for quick access to metering data

Installation

pip install frequenz-client-marketmetering

For CLI support:

pip install "frequenz-client-marketmetering[cli]"

Quick Start

Python API

from datetime import datetime, timezone
from frequenz.client.marketmetering import MarketMeteringApiClient
from frequenz.client.marketmetering.types import (
    EnergyFlowDirection,
    MarketLocationId,
    MarketLocationIdType,
    MarketLocationRef,
    MetricType,
)

# Create client
client = MarketMeteringApiClient(
    server_url="grpc://marketmetering.example.com",
    auth_key="your-api-key",
)

# Define a Market Location (e.g., German MaLo)
market_location = MarketLocationRef(
    enterprise_id=42,
    market_location_id=MarketLocationId(
        value="DE01234567890",
        type=MarketLocationIdType.MALO_ID,
    ),
)

# Stream metering samples
async for series in client.stream_samples(
    market_locations=[market_location],
    directions=[EnergyFlowDirection.IMPORT],
    metric_types=[MetricType.ACTIVE_ENERGY],
    start_time=datetime(2025, 1, 1, tzinfo=timezone.utc),
):
    for sample in series.samples:
        print(f"{sample.sample_time}: {sample.value} {series.metric_unit.name}")

CLI

# Set environment variables
export MARKETMETERING_API_URL="grpc://marketmetering.example.com"
export MARKETMETERING_API_AUTH_KEY="your-api-key"

# Stream samples from a German Market Location
marketmetering-cli stream 42:DE01234567890:MALO_ID

# Stream with specific options
marketmetering-cli stream 42:DE01234567890:MALO_ID \
    --direction IMPORT \
    --metric ACTIVE_ENERGY \
    --start-time "2025-01-01T00:00:00" \
    --resolution MIN_15

Market Location Types

The client supports various market identifier types:

Type	Market	Example
MALO_ID	Germany	DE01234567890
MPAN	United Kingdom	18106612345678901234
ESI_ID	US (ERCOT)	10443720000012345
NMI	Australia	NEM1203456A

Supported Platforms

• Python: 3.11+
• Operating System: Ubuntu Linux 20.04+
• Architectures: amd64, arm64

Documentation

For detailed documentation, please visit: https://frequenz-floss.github.io/frequenz-client-marketmetering-python/

Contributing

If you want to know how to build this project and contribute to it, please check out the Contributing Guide.

License

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