Integración de Datadog

from flask import Flask, request, jsonify
import requests, os, hmac, hashlib

app = Flask(__name__)

def verify_signature(req):
    """Verifica la solicitud usando un secreto compartido configurado en el webhook de Datadog."""
    signature = req.headers.get("X-Webhook-Secret", "")
    expected = os.environ["WEBHOOK_SECRET"]
    return hmac.compare_digest(signature, expected)

@app.route("/alert", methods=["POST"])
def handle_alert():
    if not verify_signature(request):
        return jsonify({"error": "bad signature"}), 401

    payload = request.json
    if not payload:
        return jsonify({"error": "no payload"}), 400

    # Campos del payload del webhook de Datadog
    alert_title = payload.get("title", "Unknown alert")
    tags = payload.get("tags", "")
    if isinstance(tags, str):
        tags = [t.strip() for t in tags.split(",")]
    service = next(
        (t.split(":", 1)[1] for t in tags if t.startswith("service:")),
        "unknown-service"
    )
    alert_url = payload.get("link", "")

    org_id = os.environ["DEVIN_ORG_ID"]
    response = requests.post(
        f"https://api.devin.ai/v3/organizations/{org_id}/sessions",
        headers={"Authorization": f"Bearer {os.environ['DEVIN_API_KEY']}"},
        json={
            "prompt": (
                f"Datadog alert fired: '{alert_title}'\n"
                f"Service: {service}\n"
                f"Alert link: {alert_url}\n\n"
                "Using the Datadog MCP:\n"
                "1. Pull error logs for this service from the past 30 min\n"
                "2. Identify the top error messages and stack traces\n"
                "3. Check if this correlates with a recent deploy\n"
                "4. If the root cause is clear, open a hotfix PR\n"
                "5. Post your findings to #incidents on Slack"
            ),
        }
    )
    return jsonify(response.json()), 200