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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, 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
|
