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live-campus-mcs-p-2027.2/Semaine_08/orderflow/analytics_service/consumer.py
T
gauvainboiche 3315cb2336 feat: Semaine 8
2026-05-11 09:25:19 +02:00

53 lines
1.9 KiB
Python

import sys, os, json
from collections import defaultdict
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from kafka import KafkaConsumer
from shared.events import BOOTSTRAP_SERVERS, TOPIC_ORDERS, TOPIC_PAYMENTS, TOPIC_NOTIFICATIONS
TOPIC_ORDERS_DLQ = "orders_dlq"
stats = defaultdict(int)
def run():
consumer = KafkaConsumer(
TOPIC_ORDERS,
TOPIC_ORDERS_DLQ,
TOPIC_PAYMENTS,
bootstrap_servers=BOOTSTRAP_SERVERS,
group_id="analytics_service",
auto_offset_reset="earliest",
value_deserializer=lambda v: json.loads(v.decode("utf-8"))
)
print("[ANALYTICS SERVICE] Service d'analyse démarré, en attente d'évènements...")
for message in consumer:
event = message.value
event_type = event["type"]
payload = event["payload"]
stats[event_type] += 1
if event_type == "order_created":
order_id = payload["order_id"]
total = payload["total_amount"]
print(f"[ANALYTICS SERVICE] Nouvelle commande {order_id} - total {total}"
f"| commandes reçues : {stats['order_created']}")
elif event_type == "payment.confirmed":
stats["revenue"] = stats.get("revenue", 0) + payload["amount"]
print(f"[ANALYTICS SERVICE] Paiement confirmé - commande {payload['order_id']}, "
f"{payload['amount']}€ | CA total : {stats['revenue']}")
elif event_type == "payment.failed":
print(f"[ANALYTICS SERVICE] Paiement échoué - commande {payload['order_id']} "
f"| échecs : {stats['payment.failed']}")
elif event_type == "order.preparation_started":
print(f"[ANALYTICS SERVICE] Préparation démarrée - commande {payload['order_id']} "
f"| en préparation : {stats['order.preparation_started']}")
if __name__ == "__main__":
run()