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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 datetime import datetime
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.step_run_status import StepRunStatus
class SemaphoreSlots(BaseModel):
"""
SemaphoreSlots
""" # noqa: E501
step_run_id: StrictStr = Field(description="The step run id.", alias="stepRunId")
action_id: StrictStr = Field(description="The action id.", alias="actionId")
started_at: Optional[datetime] = Field(
default=None, description="The time this slot was started.", alias="startedAt"
)
timeout_at: Optional[datetime] = Field(
default=None, description="The time this slot will timeout.", alias="timeoutAt"
)
workflow_run_id: StrictStr = Field(
description="The workflow run id.", alias="workflowRunId"
)
status: StepRunStatus
__properties: ClassVar[List[str]] = [
"stepRunId",
"actionId",
"startedAt",
"timeoutAt",
"workflowRunId",
"status",
]
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 SemaphoreSlots 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,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of SemaphoreSlots from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"stepRunId": obj.get("stepRunId"),
"actionId": obj.get("actionId"),
"startedAt": obj.get("startedAt"),
"timeoutAt": obj.get("timeoutAt"),
"workflowRunId": obj.get("workflowRunId"),
"status": obj.get("status"),
}
)
return _obj
|
