# 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, StrictStr from typing_extensions import Self from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta from hatchet_sdk.clients.rest.models.workflow_trigger_cron_ref import ( WorkflowTriggerCronRef, ) from hatchet_sdk.clients.rest.models.workflow_trigger_event_ref import ( WorkflowTriggerEventRef, ) class WorkflowTriggers(BaseModel): """ WorkflowTriggers """ # noqa: E501 metadata: Optional[APIResourceMeta] = None workflow_version_id: Optional[StrictStr] = None tenant_id: Optional[StrictStr] = None events: Optional[List[WorkflowTriggerEventRef]] = None crons: Optional[List[WorkflowTriggerCronRef]] = None __properties: ClassVar[List[str]] = [ "metadata", "workflow_version_id", "tenant_id", "events", "crons", ] 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 WorkflowTriggers 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 each item in events (list) _items = [] if self.events: for _item_events in self.events: if _item_events: _items.append(_item_events.to_dict()) _dict["events"] = _items # override the default output from pydantic by calling `to_dict()` of each item in crons (list) _items = [] if self.crons: for _item_crons in self.crons: if _item_crons: _items.append(_item_crons.to_dict()) _dict["crons"] = _items return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of WorkflowTriggers 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 ), "workflow_version_id": obj.get("workflow_version_id"), "tenant_id": obj.get("tenant_id"), "events": ( [ WorkflowTriggerEventRef.from_dict(_item) for _item in obj["events"] ] if obj.get("events") is not None else None ), "crons": ( [WorkflowTriggerCronRef.from_dict(_item) for _item in obj["crons"]] if obj.get("crons") is not None else None ), } ) return _obj