Source code for plaid2.model.document_metadata
from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
_ALIAS_MAP = {"name_": "name"}
[docs]class DocumentMetadata(BaseModel):
[docs] class Config:
allow_population_by_field_name = True
alias_generator = lambda field: _ALIAS_MAP.get(field, field)
status: Optional[str] = None
"""The processing status of the document."""
doc_type: Optional[str] = None
"""The type of document.
`DOCUMENT_TYPE_PAYSTUB`: A paystub.
`DOCUMENT_TYPE_BANK_STATEMENT`: A bank statement.
`DOCUMENT_TYPE_US_TAX_W2`: A W-2 wage and tax statement provided by a US employer reflecting wages earned by the employee.
`DOCUMENT_TYPE_US_MILITARY_ERAS`: An electronic Retirement Account Statement (eRAS) issued by the US military.
`DOCUMENT_TYPE_US_MILITARY_LES`: A Leave and Earnings Statement (LES) issued by the US military.
`DOCUMENT_TYPE_US_MILITARY_CLES`: A Civilian Leave and Earnings Statment (CLES) issued by the US military.
`DOCUMENT_TYPE_GIG`: Used to indicate that the income is related to gig work. Does not necessarily correspond to a specific document type.
`DOCUMENT_TYPE_NONE`: Used to indicate that there is no underlying document for the data.
`UNKNOWN`: Document type could not be determined."""
name_: Optional[str] = None
"""The name of the document."""
doc_id: Optional[str] = None
"""An identifier of the document that is also present in the paystub response."""
[docs] def json(self, **kwargs: Any) -> str:
"""Return a json string representation of the object. Takes same keyword arguments as pydantic.BaseModel.json"""
kwargs.setdefault("by_alias", True)
return super().json(**kwargs)
[docs] def dict(self, **kwargs: Any) -> Dict[str, Any]:
"""Return a dict representation of the object. Takes same keyword arguments as pydantic.BaseModel.dict"""
kwargs.setdefault("by_alias", True)
return super().dict(**kwargs)
[docs] @classmethod
def parse_obj(cls, data: Any) -> "DocumentMetadata":
"""Parse a dict into the object. Takes same keyword arguments as pydantic.BaseModel.parse_obj"""
return super().parse_obj(data)
[docs] @classmethod
def parse_raw(cls, b: Union[bytes, str], **kwargs: Any) -> "DocumentMetadata":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)