# 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 from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta from hatchet_sdk.clients.rest.models.cron_workflows_method import CronWorkflowsMethod class CronWorkflows(BaseModel): """ CronWorkflows """ # noqa: E501 metadata: APIResourceMeta tenant_id: StrictStr = Field(alias="tenantId") workflow_version_id: StrictStr = Field(alias="workflowVersionId") workflow_id: StrictStr = Field(alias="workflowId") workflow_name: StrictStr = Field(alias="workflowName") cron: StrictStr name: Optional[StrictStr] = None input: Optional[Dict[str, Any]] = None additional_metadata: Optional[Dict[str, Any]] = Field( default=None, alias="additionalMetadata" ) enabled: StrictBool method: CronWorkflowsMethod __properties: ClassVar[List[str]] = [ "metadata", "tenantId", "workflowVersionId", "workflowId", "workflowName", "cron", "name", "input", "additionalMetadata", "enabled", "method", ] 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 CronWorkflows 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() return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of CronWorkflows 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 ), "tenantId": obj.get("tenantId"), "workflowVersionId": obj.get("workflowVersionId"), "workflowId": obj.get("workflowId"), "workflowName": obj.get("workflowName"), "cron": obj.get("cron"), "name": obj.get("name"), "input": obj.get("input"), "additionalMetadata": obj.get("additionalMetadata"), "enabled": obj.get("enabled"), "method": obj.get("method"), } ) return _obj