quick / crawler_fastapi.py
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MVP2: quickAI — AI Copilot for E-Commerce
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from fastapi import FastAPI, HTTPException, BackgroundTasks
from pydantic import HttpUrl, BaseModel
from typing import List, Optional
import requests
import time
from dotenv import load_dotenv
import os
load_dotenv()
CLOUDFLARE_ACCOUNT_ID = os.getenv("CLOUDFLARE_ACCOUNT_ID")
CLOUDFLARE_TOKEN = os.getenv("CLOUDFLARE_TOKEN")
app = FastAPI(title="Cloudflare Crawl Proxy for Startups")
BASE_URL = f"https://api.cloudflare.com/client/v4/accounts/{CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl"
headers = {
"Authorization": f"Bearer {CLOUDFLARE_TOKEN}",
"Content-Type": "application/json"
}
# Modèle de données pour l'entrée
class CrawlRequest(BaseModel):
url: HttpUrl
limit: Optional[int] = 3
render: Optional[bool] = True
formats: Optional[List[str]] = ["markdown"]
# --- ENDPOINTS ---
@app.post("/launch-crawl")
async def launch_crawl(request: CrawlRequest):
"""Lance la mission de crawl et retourne le Job ID immédiatement."""
payload = {
"url": str(request.url),
"render": request.render,
"limit": request.limit,
"formats": request.formats
}
response = requests.post(BASE_URL, headers=headers, json=payload)
if response.status_code != 200:
raise HTTPException(status_code=response.status_code, detail=response.json())
return response.json()
@app.get("/results/{job_id}")
async def get_results(job_id: str):
"""Récupère les résultats du crawl via le Job ID."""
result_url = f"{BASE_URL}/{job_id}"
response = requests.get(result_url, headers=headers)
if response.status_code != 200:
raise HTTPException(status_code=response.status_code, detail="Job non trouvé ou erreur Cloudflare")
data = response.json()
# On vérifie si les données sont prêtes
if data.get("result") is None:
return {"status": "pending", "message": "Le scan est encore en cours de traitement..."}
return data
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)