# 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, List
from pydantic.v1 import BaseModel, Field, conlist, constr, validator
from lusid.models.custom_entity_field_definition import CustomEntityFieldDefinition
[docs]
class CustomEntityDefinitionRequest(BaseModel):
"""
CustomEntityDefinitionRequest
"""
entity_type_name: constr(strict=True, max_length=64, min_length=1) = Field(..., alias="entityTypeName", description="A name for the custom entity type. This will be prefixed with “~” and returned as “entityType”, which is the identifier for the custom entity type.")
display_name: constr(strict=True, min_length=1) = Field(..., alias="displayName", description="A display label for the custom entity type.")
description: constr(strict=True, min_length=1) = Field(..., description="A description for the custom entity type.")
field_schema: conlist(CustomEntityFieldDefinition) = Field(..., alias="fieldSchema", description="The description of the fields on the custom entity type.")
__properties = ["entityTypeName", "displayName", "description", "fieldSchema"]
[docs]
@validator('display_name')
def display_name_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if not re.match(r"^[\s\S]*$", value):
raise ValueError(r"must validate the regular expression /^[\s\S]*$/")
return value
[docs]
@validator('description')
def description_validate_regular_expression(cls, value):
"""Validates the regular expression"""
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
[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) -> CustomEntityDefinitionRequest:
"""Create an instance of CustomEntityDefinitionRequest 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 item in field_schema (list)
_items = []
if self.field_schema:
for _item in self.field_schema:
if _item:
_items.append(_item.to_dict())
_dict['fieldSchema'] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> CustomEntityDefinitionRequest:
"""Create an instance of CustomEntityDefinitionRequest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return CustomEntityDefinitionRequest.parse_obj(obj)
_obj = CustomEntityDefinitionRequest.parse_obj({
"entity_type_name": obj.get("entityTypeName"),
"display_name": obj.get("displayName"),
"description": obj.get("description"),
"field_schema": [CustomEntityFieldDefinition.from_dict(_item) for _item in obj.get("fieldSchema")] if obj.get("fieldSchema") is not None else None
})
return _obj