# coding: utf-8 """ Hatchet API The Hatchet API The version of the OpenAPI document: 1.0.0 Generated by OpenAPI Generator (https://openapi-generator.tech) Do not edit the class manually. """ # noqa: E501 from __future__ import annotations import json import pprint import re # noqa: F401 from typing import Any, ClassVar, Dict, List, Optional, Set from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr from typing_extensions import Self class UpdateTenantRequest(BaseModel): """ UpdateTenantRequest """ # noqa: E501 name: Optional[StrictStr] = Field( default=None, description="The name of the tenant." ) analytics_opt_out: Optional[StrictBool] = Field( default=None, description="Whether the tenant has opted out of analytics.", alias="analyticsOptOut", ) alert_member_emails: Optional[StrictBool] = Field( default=None, description="Whether to alert tenant members.", alias="alertMemberEmails", ) enable_workflow_run_failure_alerts: Optional[StrictBool] = Field( default=None, description="Whether to send alerts when workflow runs fail.", alias="enableWorkflowRunFailureAlerts", ) enable_expiring_token_alerts: Optional[StrictBool] = Field( default=None, description="Whether to enable alerts when tokens are approaching expiration.", alias="enableExpiringTokenAlerts", ) enable_tenant_resource_limit_alerts: Optional[StrictBool] = Field( default=None, description="Whether to enable alerts when tenant resources are approaching limits.", alias="enableTenantResourceLimitAlerts", ) max_alerting_frequency: Optional[StrictStr] = Field( default=None, description="The max frequency at which to alert.", alias="maxAlertingFrequency", ) __properties: ClassVar[List[str]] = [ "name", "analyticsOptOut", "alertMemberEmails", "enableWorkflowRunFailureAlerts", "enableExpiringTokenAlerts", "enableTenantResourceLimitAlerts", "maxAlertingFrequency", ] 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 UpdateTenantRequest 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, ) return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of UpdateTenantRequest from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "name": obj.get("name"), "analyticsOptOut": obj.get("analyticsOptOut"), "alertMemberEmails": obj.get("alertMemberEmails"), "enableWorkflowRunFailureAlerts": obj.get( "enableWorkflowRunFailureAlerts" ), "enableExpiringTokenAlerts": obj.get("enableExpiringTokenAlerts"), "enableTenantResourceLimitAlerts": obj.get( "enableTenantResourceLimitAlerts" ), "maxAlertingFrequency": obj.get("maxAlertingFrequency"), } ) return _obj