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prefect.server.utilities.schemas.bases

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Functions

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get_class_fields_only 

get_class_fields_only(model: type[BaseModel]) -> set[str]
Gets all the field names defined on the model class but not any parent classes. Any fields that are on the parent but redefined on the subclass are included.

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Classes

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PrefectDescriptorBase

A base class for descriptor objects used with PrefectBaseModel Pydantic needs to be told about any kind of non-standard descriptor objects used on a model, in order for these not to be treated as a field type instead. This base class is registered as an ignored type with PrefectBaseModel and any classes that inherit from it will also be ignored. This allows such descriptors to be used as properties, methods or other bound descriptor use cases.

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PrefectBaseModel

A base pydantic.BaseModel for all Prefect schemas and pydantic models. As the basis for most Prefect schemas, this base model ignores extra fields that are passed to it at instantiation. Because adding new fields to API payloads is not considered a breaking change, this ensures that any Prefect client loading data from a server running a possibly-newer version of Prefect will be able to process those new fields gracefully. Methods:

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model_dump_for_orm 

model_dump_for_orm(self) -> dict[str, Any]
Prefect extension to BaseModel.model_dump. Generate a Python dictionary representation of the model suitable for passing to SQLAlchemy model constructors, INSERT statements, etc. The critical difference here is that this method will return any nested BaseModel objects as BaseModel instances, rather than serialized Python dictionaries. Accepts the standard Pydantic model_dump arguments, except for mode (which is always “python”), round_trip, and warnings. Usage docs: https://docs.pydantic.dev/2.6/concepts/serialization/#modelmodel_dump Args:
  • include: A list of fields to include in the output.
  • exclude: A list of fields to exclude from the output.
  • by_alias: Whether to use the field’s alias in the dictionary key if defined.
  • exclude_unset: Whether to exclude fields that have not been explicitly set.
  • exclude_defaults: Whether to exclude fields that are set to their default value.
  • exclude_none: Whether to exclude fields that have a value of None.
Returns:
  • A dictionary representation of the model, suitable for passing
  • to SQLAlchemy model constructors, INSERT statements, etc.

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reset_fields 

reset_fields(self: Self) -> Self
Reset the fields of the model that are in the _reset_fields set. Returns:
  • A new instance of the model with the reset fields.

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IDBaseModel

A PrefectBaseModel with an auto-generated UUID ID value. The ID is reset on copy() and not included in equality comparisons. Methods:

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model_validate_list 

model_validate_list(cls, obj: Any) -> list[Self]

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reset_fields 

reset_fields(self: Self) -> Self
Reset the fields of the model that are in the _reset_fields set. Returns:
  • A new instance of the model with the reset fields.

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TimeSeriesBaseModel

A PrefectBaseModel with a time-oriented UUIDv7 ID value. Used for models that operate like timeseries, such as runs, states, and logs.

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ORMBaseModel

A PrefectBaseModel with an auto-generated UUID ID value and created / updated timestamps, intended for compatibility with our standard ORM models. The ID, created, and updated fields are reset on copy() and not included in equality comparisons.

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ActionBaseModel

Methods:

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model_validate_list 

model_validate_list(cls, obj: Any) -> list[Self]

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reset_fields 

reset_fields(self: Self) -> Self
Reset the fields of the model that are in the _reset_fields set. Returns:
  • A new instance of the model with the reset fields.