Source code for openapi_client.models.qm_rules

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    The version of the OpenAPI document: 0.3.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


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

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.qm_rule_predicates import QMRulePredicates
from typing import Optional, Set
from typing_extensions import Self

[docs] class QMRules(BaseModel): """ QMRules """ # noqa: E501 rule_name: Optional[StrictStr] = Field(default=None, alias="RuleName") action: Optional[Dict[str, Any]] = Field(default=None, alias="Action") predicate: Optional[List[QMRulePredicates]] = Field(default=None, alias="Predicate") __properties: ClassVar[List[str]] = ["RuleName", "Action", "Predicate"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] def to_json(self) -> str: """Returns the JSON representation of the model using alias""" # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead return json.dumps(self.to_dict())
[docs] @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of QMRules from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] def to_dict(self) -> Dict[str, Any]: """Return the dictionary representation of the model using alias. This has the following differences from calling pydantic's `self.model_dump(by_alias=True)`: * `None` is only added to the output dict for nullable fields that were set at model initialization. Other fields with value `None` are ignored. """ excluded_fields: Set[str] = set([ ]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) # override the default output from pydantic by calling `to_dict()` of each item in predicate (list) _items = [] if self.predicate: for _item_predicate in self.predicate: if _item_predicate: _items.append(_item_predicate.to_dict()) _dict['Predicate'] = _items return _dict
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of QMRules from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "RuleName": obj.get("RuleName"), "Action": obj.get("Action"), "Predicate": [QMRulePredicates.from_dict(_item) for _item in obj["Predicate"]] if obj.get("Predicate") is not None else None }) return _obj