Source code for sdk.lusid.models.structured_result_data_id

# coding: utf-8

"""
    LUSID API

    FINBOURNE Technology  # noqa: E501

    Contact: info@finbourne.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""


from __future__ import annotations
import pprint
import re  # noqa: F401
import json


from typing import Any, Dict, Optional
from pydantic.v1 import BaseModel, Field, StrictStr, constr, validator

[docs] class StructuredResultDataId(BaseModel): """ An identifier that uniquely describes an item of structured result data such as the risk to an interest curve or a set of yields or analytics on an index. # noqa: E501 """ source: constr(strict=True, max_length=256, min_length=1) = Field(..., description="The platform or vendor that provided the structured result data, e.g. 'client'. This is primarily of interest when data could have been sourced from multiple sources") code: Optional[constr(strict=True, max_length=256, min_length=1)] = Field(None, description="The identifier for the entity that this id describes. It could be an index, instrument or other form of structured data") effective_at: Optional[StrictStr] = Field(None, alias="effectiveAt", description="The effectiveAt or cut label that this item of structured result data is/was updated/inserted with.") result_type: Optional[StrictStr] = Field(None, alias="resultType", description="An identifier that denotes the class of data that the id points to. This is not the same as the format, but a more generic identifier such as 'risk result', 'cashflow', 'index' or similar.") __properties = ["source", "code", "effectiveAt", "resultType"]
[docs] @validator('source') def source_validate_regular_expression(cls, value): """Validates the regular expression""" if not re.match(r"^[a-zA-Z0-9\-_]+$", value): raise ValueError(r"must validate the regular expression /^[a-zA-Z0-9\-_]+$/") return value
[docs] @validator('code') def code_validate_regular_expression(cls, value): """Validates the regular expression""" if value is None: return value if not re.match(r"^[a-zA-Z0-9\-_]+$", value): raise ValueError(r"must validate the regular expression /^[a-zA-Z0-9\-_]+$/") return value
[docs] class Config: """Pydantic configuration""" allow_population_by_field_name = True validate_assignment = True
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.dict(by_alias=True))
[docs] def to_json(self) -> str: """Returns the JSON representation of the model using alias""" return json.dumps(self.to_dict())
[docs] @classmethod def from_json(cls, json_str: str) -> StructuredResultDataId: """Create an instance of StructuredResultDataId from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] def to_dict(self): """Returns the dictionary representation of the model using alias""" _dict = self.dict(by_alias=True, exclude={ }, exclude_none=True) # set to None if code (nullable) is None # and __fields_set__ contains the field if self.code is None and "code" in self.__fields_set__: _dict['code'] = None # set to None if effective_at (nullable) is None # and __fields_set__ contains the field if self.effective_at is None and "effective_at" in self.__fields_set__: _dict['effectiveAt'] = None # set to None if result_type (nullable) is None # and __fields_set__ contains the field if self.result_type is None and "result_type" in self.__fields_set__: _dict['resultType'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> StructuredResultDataId: """Create an instance of StructuredResultDataId from a dict""" if obj is None: return None if not isinstance(obj, dict): return StructuredResultDataId.parse_obj(obj) _obj = StructuredResultDataId.parse_obj({ "source": obj.get("source"), "code": obj.get("code"), "effective_at": obj.get("effectiveAt"), "result_type": obj.get("resultType") }) return _obj