frequenz-reporting-python 0.4.0

A highlevel interface for the reporting API

Reporting Highlevel Interface

Introduction

A highlevel interface for the reporting API

Supported Platforms

The following platforms are officially supported (tested):

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

Contributing

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

Installation

# Choose the version you want to install
VERSION=0.3.0
pip install frequenz-reporting-python==$VERSION

Initialize the client

from datetime import datetime

from frequenz.client.common.metric import Metric
from frequenz.client.reporting import ReportingApiClient
from frequenz.reporting._reporting import cumulative_energy

# Change server address
SERVICE_ADDRESS = "grpc://replace-this-with-your-server-url:port"
API_KEY = open('api_key.txt').read().strip()
client = ReportingApiClient(service_address=SERVICE_ADDRESS, key=API_KEY)

Calculate cumulative energy for a single microgrid and component:

If the component does not measure Metric.AC_ACTIVE_ENERGY, set use_active_power=True to utilize Metric.AC_ACTIVE_POWER instead.

A resampling period can be set that alters how NaNs are handled, resulting in varying results. NaN values are ignored in sums, which may lead to significant data loss if many are present in the raw data. There is no universally correct method for handling NaNs, as their causes can vary.

energy_reading = await cumulative_energy(
			client=client,
                        microgrid_id=1,
                        component_id=100,
                        start_time=datetime.fromisoformat("2024-09-01T00:00:00"),
                        end_time=datetime.fromisoformat("2024-09-30T00:00:00"),
                        use_active_power=True,
                        resampling_period=timedelta(seconds=10),
    )

print(energy_reading)