feat:添加Kafka Producer相关功能

config.ini

@@ -13,4 +13,7 @@ password = 123456
 [kafka]
 bootstrap_servers = 172.16.5.2:9092
 group_id = test
-raw_topic = raw
+raw_topic = raw
+
+[producer]
+data_path = producer-data.json

main.py

@@ -1,7 +1,9 @@
 from flask import *
 
+import threading
+
 from init import init_all
-from service.init import run_kafka_spark
+from service.producer import run_kafka_producer
 from conf.util import *
 
 # from web import app
@@ -23,9 +25,15 @@ if __name__ == '__main__':
     init_all()
     
     # 运行Kafka与Spark相关
-    run_kafka_spark()
+
+    kafka_producer_t = threading.Thread(target=run_kafka_producer())
+    web_t = threading.Thread(target=app.run(host=conf.get('server', 'listen'), port=conf.get('server', 'port'), debug=conf.get('server', 'debug')))
+    kafka_producer_t.start()
+    web_t.start()
+
+
 
     # 运行Web服务
-    app.run(host=conf.get('server', 'listen'), port=conf.get('server', 'port'), debug=conf.get('server', 'debug'))
+
 
 

producer-data.json

@@ -0,0 +1,7 @@
+{
+  "电器":["电脑", "手机", "电视", "手柄"],
+  "食物":["面包", "水果", "面条", "坚果"],
+  "衣服":["大衣", "短袖", "风衣", "卫衣"],
+  "家具":["椅子", "沙发", "茶几", "柜子"],
+  "程序猿":["陈楠", "郭子奇", "李尧宇", "郭志胜", "许家禾", "李烁升"]
+}

service/init.py

@@ -1,7 +0,0 @@
-import threading
-from service.test import test
-def run_kafka_spark():
-    print('run_kafka_spark')
-    t1 = threading.Thread(target=test)
-    t1.start()
-

service/producer.py

@@ -0,0 +1,59 @@
+import random
+import time
+import json
+import threading
+from datetime import datetime
+from confluent_kafka import Producer
+
+from conf.util import get_config_object
+
+
+conf_obj = get_config_object()
+
+# 读取 data.json 数据
+with open(conf_obj.get("producer","data_path"), 'r', encoding='utf-8') as f:
+    data = json.load(f)
+
+# 配置 Kafka 生产者
+conf = {
+    'bootstrap.servers': conf_obj.get("kafka", "bootstrap_servers"),  # Kafka 服务地址
+    'client.id': 'python-producer'
+}
+
+# 创建 Kafka 生产者
+producer = Producer(conf)
+
+# 生成随机数据的函数
+def generate_order_data():
+    # 随机选择一个订单类别
+    order_category = random.choice(list(data.keys()))
+    # 根据订单类别随机选择商品
+    order_name = random.choice(data[order_category])
+    # 随机选择数量
+    order_quantity = random.randint(1, 100)
+    # 获取当前时间
+    date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    # 随机选择是否有效
+    is_valid = random.choice(['Y', 'N'])
+    # 数据格式: 订单类别\t订单名字\t订单数量\t日期\t是否有效
+    data_str = f"{order_category}\t{order_name}\t{order_quantity}\t{date}\t{is_valid}"
+    return data_str
+
+
+# 发送消息的回调函数
+def delivery_report(err, msg):
+    if err is not None:
+        print('Message delivery failed: {}'.format(err))
+    else:
+        print('Message delivered to {} [{}]'.format(msg.topic(), msg.partition()))
+        pass
+
+def run_kafka_producer():
+    # while True:
+    #     order_data = generate_order_data()  # 生成数据
+    #     producer.produce('orders', order_data, callback=delivery_report)  # 发送到 Kafka 的 orders 主题
+    #     producer.poll(0)  # 处理任何待处理的事件（如回调）
+    #     time.sleep(5)  # 每隔 5 秒发送一次
+    while True:
+        print("123")
+        time.sleep(1)