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diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/job.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/job.py
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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, StrictStr
+from typing_extensions import Self
+
+from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta
+from hatchet_sdk.clients.rest.models.step import Step
+
+
+class Job(BaseModel):
+ """
+ Job
+ """ # noqa: E501
+
+ metadata: APIResourceMeta
+ tenant_id: StrictStr = Field(alias="tenantId")
+ version_id: StrictStr = Field(alias="versionId")
+ name: StrictStr
+ description: Optional[StrictStr] = Field(
+ default=None, description="The description of the job."
+ )
+ steps: List[Step]
+ timeout: Optional[StrictStr] = Field(
+ default=None, description="The timeout of the job."
+ )
+ __properties: ClassVar[List[str]] = [
+ "metadata",
+ "tenantId",
+ "versionId",
+ "name",
+ "description",
+ "steps",
+ "timeout",
+ ]
+
+ 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 Job 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 steps (list)
+ _items = []
+ if self.steps:
+ for _item_steps in self.steps:
+ if _item_steps:
+ _items.append(_item_steps.to_dict())
+ _dict["steps"] = _items
+ return _dict
+
+ @classmethod
+ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+ """Create an instance of Job 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"),
+ "versionId": obj.get("versionId"),
+ "name": obj.get("name"),
+ "description": obj.get("description"),
+ "steps": (
+ [Step.from_dict(_item) for _item in obj["steps"]]
+ if obj.get("steps") is not None
+ else None
+ ),
+ "timeout": obj.get("timeout"),
+ }
+ )
+ return _obj