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# 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
|
