two version of R2R are hereHEADmaster

1 files changed, 176 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/job_run.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/job_run.py
new file mode 100644
index 00000000..3a7ec051
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+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/job_run.py
@@ -0,0 +1,176 @@
+# 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.api_resource_meta import APIResourceMeta
+from hatchet_sdk.clients.rest.models.job import Job
+from hatchet_sdk.clients.rest.models.job_run_status import JobRunStatus
+
+
+class JobRun(BaseModel):
+    """
+    JobRun
+    """  # noqa: E501
+
+    metadata: APIResourceMeta
+    tenant_id: StrictStr = Field(alias="tenantId")
+    workflow_run_id: StrictStr = Field(alias="workflowRunId")
+    workflow_run: Optional[WorkflowRun] = Field(default=None, alias="workflowRun")
+    job_id: StrictStr = Field(alias="jobId")
+    job: Optional[Job] = None
+    ticker_id: Optional[StrictStr] = Field(default=None, alias="tickerId")
+    step_runs: Optional[List[StepRun]] = Field(default=None, alias="stepRuns")
+    status: JobRunStatus
+    result: Optional[Dict[str, Any]] = None
+    started_at: Optional[datetime] = Field(default=None, alias="startedAt")
+    finished_at: Optional[datetime] = Field(default=None, alias="finishedAt")
+    timeout_at: Optional[datetime] = Field(default=None, alias="timeoutAt")
+    cancelled_at: Optional[datetime] = Field(default=None, alias="cancelledAt")
+    cancelled_reason: Optional[StrictStr] = Field(default=None, alias="cancelledReason")
+    cancelled_error: Optional[StrictStr] = Field(default=None, alias="cancelledError")
+    __properties: ClassVar[List[str]] = [
+        "metadata",
+        "tenantId",
+        "workflowRunId",
+        "workflowRun",
+        "jobId",
+        "job",
+        "tickerId",
+        "stepRuns",
+        "status",
+        "result",
+        "startedAt",
+        "finishedAt",
+        "timeoutAt",
+        "cancelledAt",
+        "cancelledReason",
+        "cancelledError",
+    ]
+
+    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 JobRun 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_run
+        if self.workflow_run:
+            _dict["workflowRun"] = self.workflow_run.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of job
+        if self.job:
+            _dict["job"] = self.job.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of each item in step_runs (list)
+        _items = []
+        if self.step_runs:
+            for _item_step_runs in self.step_runs:
+                if _item_step_runs:
+                    _items.append(_item_step_runs.to_dict())
+            _dict["stepRuns"] = _items
+        return _dict
+
+    @classmethod
+    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+        """Create an instance of JobRun 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"),
+                "workflowRunId": obj.get("workflowRunId"),
+                "workflowRun": (
+                    WorkflowRun.from_dict(obj["workflowRun"])
+                    if obj.get("workflowRun") is not None
+                    else None
+                ),
+                "jobId": obj.get("jobId"),
+                "job": (
+                    Job.from_dict(obj["job"]) if obj.get("job") is not None else None
+                ),
+                "tickerId": obj.get("tickerId"),
+                "stepRuns": (
+                    [StepRun.from_dict(_item) for _item in obj["stepRuns"]]
+                    if obj.get("stepRuns") is not None
+                    else None
+                ),
+                "status": obj.get("status"),
+                "result": obj.get("result"),
+                "startedAt": obj.get("startedAt"),
+                "finishedAt": obj.get("finishedAt"),
+                "timeoutAt": obj.get("timeoutAt"),
+                "cancelledAt": obj.get("cancelledAt"),
+                "cancelledReason": obj.get("cancelledReason"),
+                "cancelledError": obj.get("cancelledError"),
+            }
+        )
+        return _obj
+
+
+from hatchet_sdk.clients.rest.models.step_run import StepRun
+from hatchet_sdk.clients.rest.models.workflow_run import WorkflowRun
+
+# TODO: Rewrite to not use raise_errors
+JobRun.model_rebuild(raise_errors=False)