two version of R2R are here HEAD master

1 files changed, 170 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/workflow_version.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/workflow_version.py
new file mode 100644
index 00000000..47554e56
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/workflow_version.py
@@ -0,0 +1,170 @@
+# 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, StrictInt, StrictStr
+from typing_extensions import Self
+
+from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta
+from hatchet_sdk.clients.rest.models.job import Job
+from hatchet_sdk.clients.rest.models.workflow import Workflow
+from hatchet_sdk.clients.rest.models.workflow_concurrency import WorkflowConcurrency
+from hatchet_sdk.clients.rest.models.workflow_triggers import WorkflowTriggers
+
+
+class WorkflowVersion(BaseModel):
+    """
+    WorkflowVersion
+    """  # noqa: E501
+
+    metadata: APIResourceMeta
+    version: StrictStr = Field(description="The version of the workflow.")
+    order: StrictInt
+    workflow_id: StrictStr = Field(alias="workflowId")
+    sticky: Optional[StrictStr] = Field(
+        default=None, description="The sticky strategy of the workflow."
+    )
+    default_priority: Optional[StrictInt] = Field(
+        default=None,
+        description="The default priority of the workflow.",
+        alias="defaultPriority",
+    )
+    workflow: Optional[Workflow] = None
+    concurrency: Optional[WorkflowConcurrency] = None
+    triggers: Optional[WorkflowTriggers] = None
+    schedule_timeout: Optional[StrictStr] = Field(default=None, alias="scheduleTimeout")
+    jobs: Optional[List[Job]] = None
+    __properties: ClassVar[List[str]] = [
+        "metadata",
+        "version",
+        "order",
+        "workflowId",
+        "sticky",
+        "defaultPriority",
+        "workflow",
+        "concurrency",
+        "triggers",
+        "scheduleTimeout",
+        "jobs",
+    ]
+
+    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 WorkflowVersion 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 workflow
+        if self.workflow:
+            _dict["workflow"] = self.workflow.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of concurrency
+        if self.concurrency:
+            _dict["concurrency"] = self.concurrency.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of triggers
+        if self.triggers:
+            _dict["triggers"] = self.triggers.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of each item in jobs (list)
+        _items = []
+        if self.jobs:
+            for _item_jobs in self.jobs:
+                if _item_jobs:
+                    _items.append(_item_jobs.to_dict())
+            _dict["jobs"] = _items
+        return _dict
+
+    @classmethod
+    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+        """Create an instance of WorkflowVersion 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
+                ),
+                "version": obj.get("version"),
+                "order": obj.get("order"),
+                "workflowId": obj.get("workflowId"),
+                "sticky": obj.get("sticky"),
+                "defaultPriority": obj.get("defaultPriority"),
+                "workflow": (
+                    Workflow.from_dict(obj["workflow"])
+                    if obj.get("workflow") is not None
+                    else None
+                ),
+                "concurrency": (
+                    WorkflowConcurrency.from_dict(obj["concurrency"])
+                    if obj.get("concurrency") is not None
+                    else None
+                ),
+                "triggers": (
+                    WorkflowTriggers.from_dict(obj["triggers"])
+                    if obj.get("triggers") is not None
+                    else None
+                ),
+                "scheduleTimeout": obj.get("scheduleTimeout"),
+                "jobs": (
+                    [Job.from_dict(_item) for _item in obj["jobs"]]
+                    if obj.get("jobs") is not None
+                    else None
+                ),
+            }
+        )
+        return _obj