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import asyncio
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import requests
import pandas as pd
import json
import httpx
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
global page
page = 1
# Declare the continuous function as an async function.
#async def your_continuous_function():
#await asyncio.sleep(60) # Adjust the sleep interval as needed
# Create a startup event.
#@app.on_event("startup")
#async def startup_event():
# Start the continuous function as a background task.
#asyncio.create_task(your_continuous_function())
@app.get("/trigger_the_data_fecher_every_60s")
async def your_continuous_function():
global page
page+=1
return "model trained with new page : "+str(page)+" data"
@app.get("/test_api")
async def test_api():
return "kpi_result" |