Used to dynamically load data-snack Entity objects from json schema. Especially useful for complex dataset with many fields.

Data Snack can be easily installed using pypi repository.

pip install data_snack_dynamic_entity

First you need to define a dictionary containing the template - a configuration for your Entity type. Template should contain:

• the name of the new Entity type and its properties
• each property should have:
  • type - type of the field
  • default - default value (optional property)
  • optional - true if the field is optional (optional property)

Notice that your template can be saved in any file of your choosing. Just make sure it's later parsed to a dictionary in the right format.

The template is defined using following schema: src/data_snack_dynamic_entity/entityTemplates.schema.json.

{
    "Car": {
        "properties": {
            "name": {
                "type": "str"
            },
            "cost": {
                "type": "float",
                "default": 10.0,
                "optional": True
            }
        }
    }
}

Now you are ready to create entities based on your template:

from data_snack_dynamic_entity.factory import load_entities

entities = load_entities(templates=your_config)

After that entities will contain a dictionary in the following format:

{
    "entity_name": EntityType
}

Plugin was created by the Data Science team from Webinterpret.