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