Models
- class enlyze.api_client.models.PlatformApiModel[source]
Base class for ENLYZE platform API object models using Pydantic
All objects received from the ENLYZE platform API are passed into models that derive from this class and thus use Pydantic for schema definition and validation.
- class enlyze.api_client.models.Site[source]
Bases:
PlatformApiModel- to_user_model()[source]
Convert into a user model
- Return type:
- class enlyze.api_client.models.Machine[source]
Bases:
PlatformApiModel- to_user_model(site)[source]
Convert into a user model
- Return type:
- class enlyze.api_client.models.Variable[source]
Bases:
PlatformApiModel- data_type: VariableDataType
- to_user_model(machine)[source]
Convert into a user model.
- Return type:
- class enlyze.api_client.models.TimeseriesData[source]
Bases:
PlatformApiModel
- class enlyze.api_client.models.ProductionRun[source]
Bases:
PlatformApiModel- availability: OEEComponent | None
- performance: OEEComponent | None
- quality: OEEComponent | None
- productivity: OEEComponent | None
- to_user_model(machines_by_uuid, products_by_uuid)[source]
Convert into a user model
- Return type:
- class enlyze.api_client.models.Quantity[source]
Bases:
PlatformApiModel- to_user_model()[source]
Convert into a user model
- Return type:
- class enlyze.api_client.models.Product[source]
Bases:
PlatformApiModel- to_user_model()[source]
Convert into a user model
- Return type:
- class enlyze.api_client.models.OEEComponent[source]
Bases:
PlatformApiModel- to_user_model()[source]
Convert into a user model
- Return type: