maloident 2024.7.3.2

Model classes for the Marktlokation ID Identification API by EDI@Energy (manually fixed)

MaLo Ident Python Models

This package provides mostly autogenerated pydantic-based model classes for the MaLo ident API.

We also maintain a C#/.NET Version of this data model.

It does not provide you with an HTTP client.

Installation

Install it from PyPI

pip install maloident

Then use it:

from maloident.models import ResultNegative
my_json = {
    "decisionTree": "E_0594",
    "responseCode": "A10",
    "reason": "Ich bin ein Freitext.",
    "networkOperator": 9900987654321,
}
result = ResultNegative.model_validate(my_json)

The request payload type for the Lieferant➡️Netzbetreiber identification request is maloident.models.IdentificationParameter.

See the tests for more examples.

Project Structure

This project is based on datamodel-code-generator. Most of the classes are autogenerated from the openapi.yml which can be found on SwaggerHub.

Note that we fixed some errors in the official OpenAPI spec. Our changes are mentioned at the beginning of the openapi.yml file.

https://github.com/Hochfrequenz/malo-ident-python-models/blob/fe41321c74773336984a3517adc79b3ac4f43349/openapi/openapi.yml#L4-L8

After updating the openapi.yml file, use

tox -e codegen

to re-generate the model classes.

Contribute

You are very welcome to contribute to this template repository by opening a pull request against the main branch.