# 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 datetime import datetime
from typing import Any, Dict, Optional
from pydantic.v1 import BaseModel, Field, constr, validator
from lusid.models.model_property import ModelProperty
[docs]
class UpsertValuationPointRequest(BaseModel):
"""
A definition for the period you wish to close # noqa: E501
"""
diary_entry_code: constr(strict=True, max_length=64, min_length=1) = Field(..., alias="diaryEntryCode", description="Unique code for the Valuation Point.")
name: Optional[constr(strict=True, max_length=512, min_length=1)] = Field(None, description="Identifiable Name assigned to the Valuation Point.")
effective_at: datetime = Field(..., alias="effectiveAt", description="The effective time of the diary entry.")
query_as_at: Optional[datetime] = Field(None, alias="queryAsAt", description="The query time of the diary entry. Defaults to latest.")
properties: Optional[Dict[str, ModelProperty]] = Field(None, description="A set of properties for the diary entry.")
__properties = ["diaryEntryCode", "name", "effectiveAt", "queryAsAt", "properties"]
[docs]
@validator('diary_entry_code')
def diary_entry_code_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('name')
def name_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if value is None:
return value
if not re.match(r"^[\s\S]*$", value):
raise ValueError(r"must validate the regular expression /^[\s\S]*$/")
return value
[docs]
class Config:
"""Pydantic configuration"""
allow_population_by_field_name = True
validate_assignment = True
def __str__(self):
"""For `print` and `pprint`"""
return pprint.pformat(self.dict(by_alias=False))
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
[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) -> UpsertValuationPointRequest:
"""Create an instance of UpsertValuationPointRequest 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)
# override the default output from pydantic by calling `to_dict()` of each value in properties (dict)
_field_dict = {}
if self.properties:
for _key in self.properties:
if self.properties[_key]:
_field_dict[_key] = self.properties[_key].to_dict()
_dict['properties'] = _field_dict
# set to None if name (nullable) is None
# and __fields_set__ contains the field
if self.name is None and "name" in self.__fields_set__:
_dict['name'] = None
# set to None if query_as_at (nullable) is None
# and __fields_set__ contains the field
if self.query_as_at is None and "query_as_at" in self.__fields_set__:
_dict['queryAsAt'] = None
# set to None if properties (nullable) is None
# and __fields_set__ contains the field
if self.properties is None and "properties" in self.__fields_set__:
_dict['properties'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> UpsertValuationPointRequest:
"""Create an instance of UpsertValuationPointRequest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return UpsertValuationPointRequest.parse_obj(obj)
_obj = UpsertValuationPointRequest.parse_obj({
"diary_entry_code": obj.get("diaryEntryCode"),
"name": obj.get("name"),
"effective_at": obj.get("effectiveAt"),
"query_as_at": obj.get("queryAsAt"),
"properties": dict(
(_k, ModelProperty.from_dict(_v))
for _k, _v in obj.get("properties").items()
)
if obj.get("properties") is not None
else None
})
return _obj