# 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, StrictStr from typing_extensions import Self from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta from hatchet_sdk.clients.rest.models.event_workflow_run_summary import ( EventWorkflowRunSummary, ) from hatchet_sdk.clients.rest.models.tenant import Tenant class Event(BaseModel): """ Event """ # noqa: E501 metadata: APIResourceMeta key: StrictStr = Field(description="The key for the event.") tenant: Optional[Tenant] = Field( default=None, description="The tenant associated with this event." ) tenant_id: StrictStr = Field( description="The ID of the tenant associated with this event.", alias="tenantId" ) workflow_run_summary: Optional[EventWorkflowRunSummary] = Field( default=None, description="The workflow run summary for this event.", alias="workflowRunSummary", ) additional_metadata: Optional[Dict[str, Any]] = Field( default=None, description="Additional metadata for the event.", alias="additionalMetadata", ) __properties: ClassVar[List[str]] = [ "metadata", "key", "tenant", "tenantId", "workflowRunSummary", "additionalMetadata", ] 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 Event 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 metadata if self.metadata: _dict["metadata"] = self.metadata.to_dict() # override the default output from pydantic by calling `to_dict()` of tenant if self.tenant: _dict["tenant"] = self.tenant.to_dict() # override the default output from pydantic by calling `to_dict()` of workflow_run_summary if self.workflow_run_summary: _dict["workflowRunSummary"] = self.workflow_run_summary.to_dict() return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of Event from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "metadata": ( APIResourceMeta.from_dict(obj["metadata"]) if obj.get("metadata") is not None else None ), "key": obj.get("key"), "tenant": ( Tenant.from_dict(obj["tenant"]) if obj.get("tenant") is not None else None ), "tenantId": obj.get("tenantId"), "workflowRunSummary": ( EventWorkflowRunSummary.from_dict(obj["workflowRunSummary"]) if obj.get("workflowRunSummary") is not None else None ), "additionalMetadata": obj.get("additionalMetadata"), } ) return _obj