cfdibills.schemas.cfdi40.InformacionGlobal

class cfdibills.schemas.cfdi40.InformacionGlobal(*, periodicidad: cfdibills.schemas.catalogs.Periodicidad, meses: cfdibills.schemas.catalogs.Meses, año: cfdibills.schemas.cfdi40.ConstrainedIntValue)[source]

Bases: pydantic.main.BaseModel

Schema of a “Comprobante / InformacionGlobal” of a CFDI v4.0.

Based on: https://www.sat.gob.mx/sitio_internet/cfd/4/cfdv40.xsd

__init__(**data: Any) → None

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Methods

`__init__`(**data)	Create a new model by parsing and validating input data from keyword arguments.
`construct`([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
`copy`(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
`dict`(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
`from_orm`(obj)
`json`(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
`parse_file`(path, *[, content_type, ...])
`parse_obj`(obj)
`parse_raw`(b, *[, content_type, encoding, ...])
`schema`([by_alias, ref_template])
`schema_json`(*[, by_alias, ref_template])
`update_forward_refs`(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
`validate`(value)

Attributes

`periodicidad`	Atributo requerido para expresar el período al que corresponde la información del comprobante global.
`meses`	Atributo requerido para expresar el mes o los meses al que corresponde la información del comprobante global
`año`	Atributo requerido para expresar el año al que corresponde la información del comprobante global.

año: int: Atributo requerido para expresar el año al que corresponde la información del comprobante global.

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().

meses: cfdibills.schemas.catalogs.Meses: Atributo requerido para expresar el mes o los meses al que corresponde la información del comprobante global

periodicidad: cfdibills.schemas.catalogs.Periodicidad: Atributo requerido para expresar el período al que corresponde la información del comprobante global.

classmethod update_forward_refs(**localns: Any) → None: Try to update ForwardRefs on fields based on this Model, globalns and localns.