fake_data#




Functions#

get_breakdown_orm_objs

Prepare ORM objects for 'приказать'.

get_schemas_from_models

Return schema versions of the ORM models.

insert_test_objs

Insert the word and morphemes into the database so that they have IDs and return the schema versions of those.

get_breakdown_orm_objs()#

tests.functional_tests.main.endpoints.fake_data.get_breakdown_orm_objs() → Tuple[rootski.services.database.models.models.Word, List[rootski.services.database.models.models.Morpheme]][source]#

Prepare ORM objects for ‘приказать’.

get_schemas_from_models()#

tests.functional_tests.main.endpoints.fake_data.get_schemas_from_models(word: rootski.services.database.models.models.Word, morphemes: List[rootski.services.database.models.models.Morpheme]) → Tuple[rootski.schemas.word.WordInDb, List[tests.functional_tests.main.endpoints.fake_data.NonstrictMorphemeInDb]][source]#

Return schema versions of the ORM models. They won’t have IDs if the ORM models haven’t been queried from/inserted into the database.

insert_test_objs()#

tests.functional_tests.main.endpoints.fake_data.insert_test_objs(db: rootski.services.database.database.DBService, word: rootski.services.database.models.models.Word, morphemes: List[rootski.services.database.models.models.Morpheme]) → Tuple[rootski.schemas.word.WordInDb, List[rootski.schemas.morpheme.MorphemeInDb]][source]#

Insert the word and morphemes into the database so that they have IDs and return the schema versions of those.




Classes#

NonstrictMorphemeInDb

Used in unit tests for forming requests.

class NonstrictMorphemeInDb#

class tests.functional_tests.main.endpoints.fake_data.NonstrictMorphemeInDb(*, morpheme: str = None, type: Literal['prefix', 'root', 'suffix', 'link', None], word_pos: Literal['any', 'adjective', 'noun', 'verb'] = None, morpheme_id: int = None, family_id: int = None)[source]#

Bases: pydantic.main.BaseModel

Used in unit tests for forming requests. Not all morpheme information is needed when making a request. This class lets us instantiate morphemes without needing all of the fields.

classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model#

Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

copy(*, include: Union[AbstractSetIntStr, MappingIntStrAny] = None, exclude: Union[AbstractSetIntStr, MappingIntStrAny] = None, update: DictStrAny = None, deep: bool = False) → Model#

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters

  • include – fields to include in new model

  • exclude – fields to exclude from new model, as with values this takes precedence over include

  • update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data

  • deep – set to True to make a deep copy of the model

Returns

new model instance

dict(*, include: Union[AbstractSetIntStr, MappingIntStrAny] = None, exclude: Union[AbstractSetIntStr, MappingIntStrAny] = None, by_alias: bool = False, skip_defaults: bool = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny#

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

json(*, include: Union[AbstractSetIntStr, MappingIntStrAny] = None, exclude: Union[AbstractSetIntStr, MappingIntStrAny] = None, by_alias: bool = False, skip_defaults: bool = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode#

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

classmethod update_forward_refs(**localns: Any) → None#

Try to update ForwardRefs on fields based on this Model, globalns and localns.