Created
June 25, 2024 06:10
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An example LangFlow "Tool" that fetches data from a URL
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import importlib | |
from langchain.tools import StructuredTool | |
from pydantic.v1 import BaseModel, Field | |
import requests | |
# Define the input schema | |
class JobDataInput(BaseModel): | |
job_id: int = Field(description="ID of the job to retrieve") | |
# Define the function to load job data | |
def load_job_data(job_id: int): | |
base_url = 'http://localhost:6666/get_job' | |
params = {'job_id': job_id} | |
response = requests.get(base_url, params=params) | |
if response.status_code == 200: | |
full_url = response.url | |
loader = WebBaseLoader(web_paths=[full_url], encoding="utf-8") | |
docs = loader.load() | |
data = [Data(text=doc.page_content, **doc.metadata) for doc in docs] | |
return data | |
else: | |
raise Exception(f"Failed to retrieve data. Status code: {response.status_code}") | |
# Create the StructuredTool | |
job_data_tool = StructuredTool.from_function( | |
func=load_job_data, | |
args_schema=JobDataInput, | |
name="LoadJobData", | |
description="Load job data using a job_id", | |
return_direct=False, | |
) |
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