File size: 1,174 Bytes
496ed86 76b6132 496ed86 5b5e0bf 496ed86 5b5e0bf 76b6132 2143b44 5b5e0bf 496ed86 5b5e0bf 2143b44 5b5e0bf 2143b44 b7fbcc6 6242b18 2143b44 e686c88 6242b18 e686c88 b5e2f68 6242b18 2143b44 496ed86 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import StreamingResponse
from fastapi_utils.tasks import repeat_every
import os
import io
import requests
app = FastAPI()
@app.on_event("startup")
@repeat_every(seconds=60 * 12) # 1 hour
async def refresh_the_api():
url = "https://research-project-h4fb.onrender.com/refresh_api"
payload = {}
headers = {
'accept': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
return response.text
@app.get("/test")
async def read_root():
return {"message":"running"}
@app.get("/start_model_trigger")
async def model_trigger(page:int):
while True:
page = str(page)
url = "https://api-ai-service.transexpress.lk/trigger_the_data_fecher?page="+page+"&paginate=10000"
print(url,page)
payload = {}
headers = {
'accept': 'application/json'
}
response = requests.request("GET", url, headers=headers, data=payload)
page = int(page)+1
print(response.text)
break
return page
|