Source code for openapi_client.models.wlm_queue_upd_request_body

# 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_rules import QMRules
from typing import Optional, Set
from typing_extensions import Self



class WLMQueueUpdRequestBody(BaseModel):
    """
    WLMQueueUpdRequestBody
    """ # noqa: E501
    user_groups: Optional[List[StrictStr]] = Field(default=None, alias="UserGroups")
    concurrency_scaling: Optional[StrictStr] = Field(default=None, alias="ConcurrencyScaling")
    description: Optional[StrictStr] = Field(default=None, alias="Description")
    priority: Optional[StrictStr] = Field(default=None, alias="Priority")
    query_monitoring_rules: Optional[List[QMRules]] = Field(default=None, alias="QueryMonitoringRules")
    __properties: ClassVar[List[str]] = ["UserGroups", "ConcurrencyScaling", "Description", "Priority", "QueryMonitoringRules"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )




    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))




    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())




    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of WLMQueueUpdRequestBody from a JSON string"""
        return cls.from_dict(json.loads(json_str))




    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 query_monitoring_rules (list)
        _items = []
        if self.query_monitoring_rules:
            for _item_query_monitoring_rules in self.query_monitoring_rules:
                if _item_query_monitoring_rules:
                    _items.append(_item_query_monitoring_rules.to_dict())
            _dict['QueryMonitoringRules'] = _items
        return _dict




    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of WLMQueueUpdRequestBody from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "UserGroups": obj.get("UserGroups"),
            "ConcurrencyScaling": obj.get("ConcurrencyScaling"),
            "Description": obj.get("Description"),
            "Priority": obj.get("Priority"),
            "QueryMonitoringRules": [QMRules.from_dict(_item) for _item in obj["QueryMonitoringRules"]] if obj.get("QueryMonitoringRules") is not None else None
        })
        return _obj