autogpt / benchmark /agbenchmark /agent_api_interface.py
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import logging
import time
from pathlib import Path
from typing import AsyncIterator, Optional
from agent_protocol_client import (
AgentApi,
ApiClient,
Configuration,
Step,
TaskRequestBody,
)
from agbenchmark.agent_interface import get_list_of_file_paths
from agbenchmark.config import AgentBenchmarkConfig
logger = logging.getLogger(__name__)
async def run_api_agent(
task: str,
config: AgentBenchmarkConfig,
timeout: int,
artifacts_location: Optional[Path] = None,
*,
mock: bool = False,
) -> AsyncIterator[Step]:
configuration = Configuration(host=config.host)
async with ApiClient(configuration) as api_client:
api_instance = AgentApi(api_client)
task_request_body = TaskRequestBody(input=task, additional_input=None)
start_time = time.time()
response = await api_instance.create_agent_task(
task_request_body=task_request_body
)
task_id = response.task_id
if artifacts_location:
logger.debug("Uploading task input artifacts to agent...")
await upload_artifacts(
api_instance, artifacts_location, task_id, "artifacts_in"
)
logger.debug("Running agent until finished or timeout...")
while True:
step = await api_instance.execute_agent_task_step(task_id=task_id)
yield step
if time.time() - start_time > timeout:
raise TimeoutError("Time limit exceeded")
if step and mock:
step.is_last = True
if not step or step.is_last:
break
if artifacts_location:
# In "mock" mode, we cheat by giving the correct artifacts to pass the test
if mock:
logger.debug("Uploading mock artifacts to agent...")
await upload_artifacts(
api_instance, artifacts_location, task_id, "artifacts_out"
)
logger.debug("Downloading agent artifacts...")
await download_agent_artifacts_into_folder(
api_instance, task_id, config.temp_folder
)
async def download_agent_artifacts_into_folder(
api_instance: AgentApi, task_id: str, folder: Path
):
artifacts = await api_instance.list_agent_task_artifacts(task_id=task_id)
for artifact in artifacts.artifacts:
# current absolute path of the directory of the file
if artifact.relative_path:
path: str = (
artifact.relative_path
if not artifact.relative_path.startswith("/")
else artifact.relative_path[1:]
)
folder = (folder / path).parent
if not folder.exists():
folder.mkdir(parents=True)
file_path = folder / artifact.file_name
logger.debug(f"Downloading agent artifact {artifact.file_name} to {folder}")
with open(file_path, "wb") as f:
content = await api_instance.download_agent_task_artifact(
task_id=task_id, artifact_id=artifact.artifact_id
)
f.write(content)
async def upload_artifacts(
api_instance: AgentApi, artifacts_location: Path, task_id: str, type: str
) -> None:
for file_path in get_list_of_file_paths(artifacts_location, type):
relative_path: Optional[str] = "/".join(
str(file_path).split(f"{type}/", 1)[-1].split("/")[:-1]
)
if not relative_path:
relative_path = None
await api_instance.upload_agent_task_artifacts(
task_id=task_id, file=str(file_path), relative_path=relative_path
)