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