Ghaymah SRE exam submission - Mohamed Adel

q1-deploy-monitor/app.py

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+"""
+Simple demo API for the Ghaymah SRE exam (Q1).
+
+Endpoints:
+  GET /            -> basic welcome message
+  GET /health       -> liveness/readiness probe used by Ghaymah + monitoring script
+  GET /metrics      -> lightweight JSON metrics used by the dashboard
+                       (uptime, request count, avg response time)
+"""
+
+import time
+from flask import Flask, jsonify
+
+app = Flask(__name__)
+
+START_TIME = time.time()
+REQUEST_COUNT = 0
+TOTAL_RESPONSE_TIME = 0.0
+
+
+@app.before_request
+def _start_timer():
+    global REQUEST_COUNT
+    REQUEST_COUNT += 1
+    app.config["_req_start"] = time.time()
+
+
+@app.after_request
+def _record_timing(response):
+    global TOTAL_RESPONSE_TIME
+    elapsed = time.time() - app.config.get("_req_start", time.time())
+    TOTAL_RESPONSE_TIME += elapsed
+    response.headers["X-Response-Time-ms"] = f"{elapsed * 1000:.2f}"
+    return response
+
+
+@app.route("/")
+def index():
+    return jsonify(message="Ghaymah SRE exam demo API is running", status="ok")
+
+
+@app.route("/health")
+def health():
+    """Used by: Ghaymah container platform health checks, and the
+    external monitoring script (health-check.sh)."""
+    return jsonify(status="healthy", uptime_seconds=round(time.time() - START_TIME, 2)), 200
+
+
+@app.route("/metrics")
+def metrics():
+    """Used by the dashboard.html to render status / avg response time / request count."""
+    avg_response_ms = (
+        (TOTAL_RESPONSE_TIME / REQUEST_COUNT) * 1000 if REQUEST_COUNT else 0
+    )
+    return jsonify(
+        status="healthy",
+        uptime_seconds=round(time.time() - START_TIME, 2),
+        request_count=REQUEST_COUNT,
+        avg_response_time_ms=round(avg_response_ms, 2),
+    )
+
+
+if __name__ == "__main__":
+    # For local testing only; production uses gunicorn (see Dockerfile CMD)
+    app.run(host="0.0.0.0", port=8080)