# 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 StrictStr, Field, BaseModel, Field, constr
from lusid.models.staging_rule_approval_criteria import StagingRuleApprovalCriteria
from lusid.models.staging_rule_match_criteria import StagingRuleMatchCriteria
[docs]
class StagingRule(BaseModel):
"""
StagingRule
"""
rule_id: StrictStr = Field(...,alias="ruleId", description="The ID of the staging rule.")
description: Optional[StrictStr] = Field(None,alias="description", description="A description for the staging rule.")
status: StrictStr = Field(...,alias="status", description="Whether the rule is 'Active' or 'Inactive'.")
match_criteria: StagingRuleMatchCriteria = Field(..., alias="matchCriteria")
approval_criteria: StagingRuleApprovalCriteria = Field(..., alias="approvalCriteria")
__properties = ["ruleId", "description", "status", "matchCriteria", "approvalCriteria"]
[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) -> StagingRule:
"""Create an instance of StagingRule 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 match_criteria
if self.match_criteria:
_dict['matchCriteria'] = self.match_criteria.to_dict()
# override the default output from pydantic by calling `to_dict()` of approval_criteria
if self.approval_criteria:
_dict['approvalCriteria'] = self.approval_criteria.to_dict()
# 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
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> StagingRule:
"""Create an instance of StagingRule from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return StagingRule.parse_obj(obj)
_obj = StagingRule.parse_obj({
"rule_id": obj.get("ruleId"),
"description": obj.get("description"),
"status": obj.get("status"),
"match_criteria": StagingRuleMatchCriteria.from_dict(obj.get("matchCriteria")) if obj.get("matchCriteria") is not None else None,
"approval_criteria": StagingRuleApprovalCriteria.from_dict(obj.get("approvalCriteria")) if obj.get("approvalCriteria") is not None else None
})
return _obj