push eval script to oss (#1796)

evaluation/script/create_webvoyager_workflow.py

@@ -0,0 +1,75 @@
+import asyncio
+import json
+from datetime import datetime
+from typing import Optional
+from uuid import uuid4
+
+import typer
+
+from evaluation.core import Evaluator, SkyvernClient
+from evaluation.core.utils import load_webvoyager_case_from_json
+from skyvern.forge import app
+from skyvern.forge.prompts import prompt_engine
+from skyvern.forge.sdk.schemas.tasks import ProxyLocation
+from skyvern.forge.sdk.workflow.models.workflow import WorkflowRequestBody
+
+
+async def create_workflow_run(
+    base_url: str,
+    cred: str,
+    workflow_pid: str,
+    proxy_location: ProxyLocation | None = None,
+) -> None:
+    client = SkyvernClient(base_url=base_url, credentials=cred)
+    group_id = uuid4()
+
+    cnt = 0
+    record_file_path = f"{group_id}-webvoyager-record.jsonl"
+    with open(record_file_path, "w", encoding="utf-8") as f:
+        for case_data in load_webvoyager_case_from_json(
+            file_path="evaluation/datasets/webvoyager_tasks.jsonl", group_id=str(group_id)
+        ):
+            prompt = prompt_engine.load_prompt(
+                "check-evaluation-goal", user_goal=case_data.question, local_datetime=datetime.now().isoformat()
+            )
+            response = await app.LLM_API_HANDLER(prompt=prompt, prompt_name="check-evaluation-goal")
+            tweaked_user_goal = response.get("tweaked_user_goal")
+            case_data.is_updated = tweaked_user_goal != case_data.question
+            case_data.question = tweaked_user_goal
+
+            evaluator = Evaluator(client=client, artifact_folder=f"test/artifacts/{case_data.group_id}/{case_data.id}")
+            request_body = WorkflowRequestBody(
+                data={
+                    "url": case_data.url,
+                    "instruction": case_data.question,
+                    "answer": case_data.answer,
+                },
+                proxy_location=proxy_location,
+            )
+            workflow_run_id = evaluator.queue_skyvern_workflow(
+                workflow_pid=workflow_pid, workflow_request=request_body, max_step=case_data.max_steps
+            )
+            dumped_data = case_data.model_dump()
+            dumped_data.update({"workflow_run_id": workflow_run_id})
+            print(f"Queued {workflow_run_id} for {case_data.model_dump_json()}")
+            f.write(json.dumps(dumped_data) + "\n")
+            cnt += 1
+
+    print(f"Queued {cnt} workflows to launch webvoyager evaluation test. saving the records file in {record_file_path}")
+
+
+def main(
+    base_url: str = typer.Option(..., "--base-url", help="base url for Skyvern client"),
+    cred: str = typer.Option(..., "--cred", help="credential for Skyvern organization"),
+    workflow_pid: str = typer.Option(..., "--workflow-pid", help="workflow pid to execute the evaluation test"),
+    proxy_location: Optional[ProxyLocation] = typer.Option(
+        None, "--proxy-location", help="overwrite the workflow proxy location"
+    ),
+) -> None:
+    asyncio.run(
+        create_workflow_run(base_url=base_url, cred=cred, workflow_pid=workflow_pid, proxy_location=proxy_location)
+    )
+
+
+if __name__ == "__main__":
+    typer.run(main)