two version of R2R are hereHEADmaster

1 files changed, 165 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/workflow.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/workflow.py
new file mode 100644
index 00000000..f3107144
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/workflow.py
@@ -0,0 +1,165 @@
+# 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, StrictBool, 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_tag import WorkflowTag
+
+
+class Workflow(BaseModel):
+    """
+    Workflow
+    """  # noqa: E501
+
+    metadata: APIResourceMeta
+    name: StrictStr = Field(description="The name of the workflow.")
+    description: Optional[StrictStr] = Field(
+        default=None, description="The description of the workflow."
+    )
+    is_paused: Optional[StrictBool] = Field(
+        default=None, description="Whether the workflow is paused.", alias="isPaused"
+    )
+    versions: Optional[List[WorkflowVersionMeta]] = None
+    tags: Optional[List[WorkflowTag]] = Field(
+        default=None, description="The tags of the workflow."
+    )
+    jobs: Optional[List[Job]] = Field(
+        default=None, description="The jobs of the workflow."
+    )
+    __properties: ClassVar[List[str]] = [
+        "metadata",
+        "name",
+        "description",
+        "isPaused",
+        "versions",
+        "tags",
+        "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 Workflow 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 versions (list)
+        _items = []
+        if self.versions:
+            for _item_versions in self.versions:
+                if _item_versions:
+                    _items.append(_item_versions.to_dict())
+            _dict["versions"] = _items
+        # override the default output from pydantic by calling `to_dict()` of each item in tags (list)
+        _items = []
+        if self.tags:
+            for _item_tags in self.tags:
+                if _item_tags:
+                    _items.append(_item_tags.to_dict())
+            _dict["tags"] = _items
+        # 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 Workflow 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
+                ),
+                "name": obj.get("name"),
+                "description": obj.get("description"),
+                "isPaused": obj.get("isPaused"),
+                "versions": (
+                    [WorkflowVersionMeta.from_dict(_item) for _item in obj["versions"]]
+                    if obj.get("versions") is not None
+                    else None
+                ),
+                "tags": (
+                    [WorkflowTag.from_dict(_item) for _item in obj["tags"]]
+                    if obj.get("tags") is not None
+                    else None
+                ),
+                "jobs": (
+                    [Job.from_dict(_item) for _item in obj["jobs"]]
+                    if obj.get("jobs") is not None
+                    else None
+                ),
+            }
+        )
+        return _obj
+
+
+from hatchet_sdk.clients.rest.models.workflow_version_meta import WorkflowVersionMeta
+
+# TODO: Rewrite to not use raise_errors
+Workflow.model_rebuild(raise_errors=False)