1 files changed, 149 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/scheduled_workflows.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/scheduled_workflows.py
new file mode 100644
index 00000000..95bf7169
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/scheduled_workflows.py
@@ -0,0 +1,149 @@
+# 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 Annotated, Self
+
+from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta
+from hatchet_sdk.clients.rest.models.scheduled_workflows_method import (
+    ScheduledWorkflowsMethod,
+)
+from hatchet_sdk.clients.rest.models.workflow_run_status import WorkflowRunStatus
+
+
+class ScheduledWorkflows(BaseModel):
+    """
+    ScheduledWorkflows
+    """  # 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")
+    trigger_at: datetime = Field(alias="triggerAt")
+    input: Optional[Dict[str, Any]] = None
+    additional_metadata: Optional[Dict[str, Any]] = Field(
+        default=None, alias="additionalMetadata"
+    )
+    workflow_run_created_at: Optional[datetime] = Field(
+        default=None, alias="workflowRunCreatedAt"
+    )
+    workflow_run_name: Optional[StrictStr] = Field(
+        default=None, alias="workflowRunName"
+    )
+    workflow_run_status: Optional[WorkflowRunStatus] = Field(
+        default=None, alias="workflowRunStatus"
+    )
+    workflow_run_id: Optional[
+        Annotated[str, Field(min_length=36, strict=True, max_length=36)]
+    ] = Field(default=None, alias="workflowRunId")
+    method: ScheduledWorkflowsMethod
+    __properties: ClassVar[List[str]] = [
+        "metadata",
+        "tenantId",
+        "workflowVersionId",
+        "workflowId",
+        "workflowName",
+        "triggerAt",
+        "input",
+        "additionalMetadata",
+        "workflowRunCreatedAt",
+        "workflowRunName",
+        "workflowRunStatus",
+        "workflowRunId",
+        "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 ScheduledWorkflows 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 ScheduledWorkflows 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"),
+                "triggerAt": obj.get("triggerAt"),
+                "input": obj.get("input"),
+                "additionalMetadata": obj.get("additionalMetadata"),
+                "workflowRunCreatedAt": obj.get("workflowRunCreatedAt"),
+                "workflowRunName": obj.get("workflowRunName"),
+                "workflowRunStatus": obj.get("workflowRunStatus"),
+                "workflowRunId": obj.get("workflowRunId"),
+                "method": obj.get("method"),
+            }
+        )
+        return _obj