epmodel 0.9.0

Data models for EnergyPlus automatically generated from EnergyPlus JSON schema using datamodel-code-generator.

epmodel

epmodel is a pydantic (V2) data model for EnergyPlus modeling. The data model code itself is automatically generated from the EnergyPlus JSON schema using the datamodel-code-generator package.

Usage

Due to the size of the official EnergyPlus JSON schema, we reduce the data model scope down the a few commonly used ones. The name of these data models are list in the keys.txt file, which is also used to generate the data model code.

Expanding the scope of data model

We can add object to the data model by adding names directly to the keys.txt file.

Generate the source code

To generate the source code, run the following command inside the codegen directory:

python codegen.py

As a result, a src/epmodel/model.py file will be a generated with the data model code.

Using the data model

Using the data model object is as simple as:

import json
from epmodel import EnergyPlusModel

with open("model.epJSON", "r") as f:
    data = json.load(f)
model = EnergyPlusModel.model_validate(data)

The code above loads in the EnergyPlus epJSON model and validate it against the data model. If the mode is valid, a EnergyPlusModel object will be returned, otherwise, an ValidationError will be raised.

One of the benefits of having such data model, beyond data validation, is that we can use autocomplete in IDE to help use write the code.

Dependencies

• pydantic

Dependency for code generation

• datamodel-code-generator