gauvainboiche
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import sys, os, json
|
|
|
|
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
|
|
|
from kafka import KafkaConsumer, KafkaProducer
|
|
from shared.events import BOOTSTRAP_SERVERS, TOPIC_PAYMENTS, TOPIC_NOTIFICATIONS, make_event
|
|
|
|
def run():
|
|
consumer = KafkaConsumer(
|
|
TOPIC_PAYMENTS,
|
|
bootstrap_servers=BOOTSTRAP_SERVERS,
|
|
group_id="kitchen_service",
|
|
auto_offset_reset="latest",
|
|
value_deserializer=lambda v: json.loads(v.decode("utf-8"))
|
|
)
|
|
|
|
producer = KafkaProducer(
|
|
bootstrap_servers=BOOTSTRAP_SERVERS,
|
|
key_serializer=str.encode,
|
|
value_serializer=lambda v: json.dumps(v).encode(),
|
|
acks="all"
|
|
)
|
|
|
|
print("[KITCHEN SERVICE] Service de cuisine démarré, en attente d'évènements...")
|
|
|
|
for message in consumer:
|
|
event = message.value
|
|
|
|
if event["type"] != "payment.confirmed":
|
|
continue
|
|
|
|
payload = event["payload"]
|
|
order_id = payload["order_id"]
|
|
restaurant_id = payload["restaurant_id"]
|
|
|
|
print(f"[KITCHEN SERVICE] Paiement confirmé - démarrage de la préparation de la commande {order_id}")
|
|
|
|
result = make_event("order.preparation_started", {
|
|
"order_id": order_id,
|
|
"customer_id": payload["customer_id"],
|
|
"restaurant_id": restaurant_id
|
|
})
|
|
|
|
producer.send(
|
|
topic=TOPIC_NOTIFICATIONS,
|
|
key=str(restaurant_id),
|
|
value=result
|
|
)
|
|
producer.flush()
|
|
|
|
print(f"[KITCHEN SERVICE] Préparation de la commande {order_id} commencée")
|
|
|
|
if __name__ == "__main__":
|
|
run() |