Source code for sdk.lusid.models.chart_of_accounts_request

# 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, constr, validator
from lusid.models.model_property import ModelProperty

[docs] class ChartOfAccountsRequest(BaseModel): """ The request used to create a chart of account. # noqa: E501 """ code: constr(strict=True, max_length=64, min_length=1) = Field(..., description="The code given for the Chart of Accounts.") display_name: Optional[constr(strict=True, max_length=256, min_length=1)] = Field(None, alias="displayName", description="The name of the Chart of Account.") description: Optional[constr(strict=True, max_length=1024, min_length=0)] = Field(None, description="A description of the Chart of Accounts.") properties: Optional[Dict[str, ModelProperty]] = Field(None, description="A set of properties for the Chart of Accounts.") __properties = ["code", "displayName", "description", "properties"]
[docs] @validator('code') def 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('description') def description_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
[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) -> ChartOfAccountsRequest: """Create an instance of ChartOfAccountsRequest 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 display_name (nullable) is None # and __fields_set__ contains the field if self.display_name is None and "display_name" in self.__fields_set__: _dict['displayName'] = None # set to None if description (nullable) is None # and __fields_set__ contains the field if self.description is None and "description" in self.__fields_set__: _dict['description'] = 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) -> ChartOfAccountsRequest: """Create an instance of ChartOfAccountsRequest from a dict""" if obj is None: return None if not isinstance(obj, dict): return ChartOfAccountsRequest.parse_obj(obj) _obj = ChartOfAccountsRequest.parse_obj({ "code": obj.get("code"), "display_name": obj.get("displayName"), "description": obj.get("description"), "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