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fix: refactor FlowTool to use run_until_complete for async flow execution (#3845)

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Refactor `FlowTool` to use `run_until_complete` for async flow execution
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Gabriel Luiz Freitas Almeida 2024-09-19 15:05:52 -03:00 • committed by GitHub
commit 4a518307b7
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1 changed files with 7 additions and 5 deletions
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12
src/backend/base/langflow/base/tools/flow_tool.py
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@ -1,6 +1,5 @@
from typing import Any, List, Optional, Type
from asyncer import syncify
from langchain_core.runnables import RunnableConfig
from langchain_core.tools import BaseTool, ToolException
from pydantic.v1 import BaseModel
@ -9,6 +8,7 @@ from langflow.base.flow_processing.utils import build_data_from_result_data, for
from langflow.graph.graph.base import Graph
from langflow.graph.vertex.base import Vertex
from langflow.helpers.flow import build_schema_from_inputs, get_arg_names, get_flow_inputs, run_flow
from langflow.utils.async_helpers import run_until_complete
class FlowTool(BaseTool):
@ -49,10 +49,12 @@ class FlowTool(BaseTool):
)
tweaks = {arg["component_name"]: kwargs[arg["arg_name"]] for arg in args_names}
run_outputs = syncify(run_flow, raise_sync_error=False)(
tweaks={key: {"input_value": value} for key, value in tweaks.items()},
flow_id=self.flow_id,
user_id=self.user_id,
run_outputs = run_until_complete(
run_flow(
tweaks={key: {"input_value": value} for key, value in tweaks.items()},
flow_id=self.flow_id,
user_id=self.user_id,
)
)
if not run_outputs:
return "No output"