backend-dev #1
@ -4,11 +4,11 @@ port = 8080
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debug = true
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[database]
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host = 172.16.5.2
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host = 43.140.205.103
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port = 3306
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database = test
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user = root
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password = 123456
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database = kaku
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user = kaku
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password = p4J7fY8mc6hcZfjG
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[kafka]
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bootstrap_servers = 172.16.5.2:9092
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25
dao/db/mysql.py
Normal file
25
dao/db/mysql.py
Normal file
@ -0,0 +1,25 @@
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from dao.db.util import *
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def get_orders_count():
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# 在mysql中读取统计订单数量
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connect = get_connet()
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sql = "SELECT * FROM order_name_yn LIMIT 100"
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cursor = connect.cursor()
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cursor.execute(sql)
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result = cursor.fetchall()
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cursor.close()
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connect.close()
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resu = []
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for row in result:
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resu.append(
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{
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"order_name": row[0],
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"update_time": row[1],
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"order_count": row[2]
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}
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)
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return resu
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@ -1,13 +1,70 @@
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from conf.util import get_config_object
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from kafka import KafkaConsumer
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from kafka import TopicPartition
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import kafka
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import json, re
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conf = get_config_object()
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# Kafka
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def get_KafkaConsumer() -> KafkaConsumer:
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""" 返回KafkaConsumer对象 """
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consumer = KafkaConsumer(
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bootstrap_servers=conf.get("kafka", "bootstrap_servers"),
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group_id=conf.get("kafka", "group_id")
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def get_KafkaConsumer(topic: str) -> kafka.KafkaConsumer:
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consumer = kafka.KafkaConsumer(
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topic,
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bootstrap_servers=conf.get("kafka","bootstrap_servers"), # Kafka 服务器地址
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group_id='test', # 消费者组
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auto_offset_reset='earliest', # 从最早的消息开始消费
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enable_auto_commit=True, # 自动提交消费位移
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)
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return consumer
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return consumer
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def raw_Data_to_jsonstr(data: str) -> str:
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"""
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将原始数据切分转换为json字符串
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"""
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# 清理转义字符
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data = re.sub(r"\\", "", data)
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# 去除多余的空格和换行符
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data = data.strip()
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data_list = data.split("\t")
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return {
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"order_id": data_list[0],
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"order_category": data_list[1],
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"order_name": data_list[2],
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"order_quantity": data_list[3],
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"date": data_list[4],
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"is_valid": data_list[5],
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}
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def get_offsets(topic_name: str):
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"""获取 Kafka 主题的已提交位移和终末位移"""
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consumer = get_KafkaConsumer(topic_name)
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offsets_data = None
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# 获取该主题的所有分区
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partitions = consumer.partitions_for_topic(topic_name)
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if not partitions:
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return print({"error": f"Topic {topic_name} not found"})
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# 获取每个分区的已提交位移和终末位移
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for partition in partitions:
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tp = TopicPartition(topic_name, partition)
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# 获取已提交的位移
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commit_offset = consumer.committed(tp)
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# 获取终末位移(high watermark)
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end_offset = next(iter(consumer.end_offsets([tp]).values()))
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offsets_data = {
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"partition": partition,
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"commit_offset": commit_offset,
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"end_offset": end_offset,
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"lag": end_offset - commit_offset if commit_offset is not None else None,
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}
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return offsets_data
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2
main.py
2
main.py
@ -16,7 +16,7 @@ app = Flask(__name__)
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conf = get_config_object()
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# 注册路由
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app.register_blueprint(api_bp)
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app.register_blueprint(api_bp,url_prefix='/api')
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app.register_blueprint(page_bp)
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# 启动
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@ -1,4 +1,101 @@
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from flask import Blueprint
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from flask import Blueprint, jsonify
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from dao.kafka.util import *
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from kafka import KafkaConsumer, TopicPartition
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from dao.db.mysql import *
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api_bp = Blueprint('api', __name__)
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@api_bp.route('/rawdata', methods=['GET'])
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def readKafka():
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consumer: KafkaConsumer = get_KafkaConsumer("orders")
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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messages.append(raw_Data_to_jsonstr(message.value.decode('utf-8')))
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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finally:
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# 取消订阅并关闭消费者
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consumer.close()
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return jsonify(messages)
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@api_bp.route('/stats/<topic>')
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def stats(topic:str):
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# 获取Kafka Topic的offset信息
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info = get_offsets(topic)
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if info is None:
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return jsonify({"error": "Topic not found"}), 404
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return jsonify(info)
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@api_bp.route('/orders-count')
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def orders_count():
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# 在mysql中读取统计订单数量
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return jsonify(get_orders_count())
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@api_bp.route('/stream/ordersummary')
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def orders_count_by_name():
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consumer: KafkaConsumer = get_KafkaConsumer("eachOrders_summary")
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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jsondata = json.loads(message.value.decode('utf-8'))
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messages.append(jsondata)
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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finally:
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# 取消订阅并关闭消费者
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consumer.close()
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return jsonify(messages)
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@api_bp.route('/stream/ordernamecount')
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def order_name_count():
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consumer: KafkaConsumer = get_KafkaConsumer("order_name_count")
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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jsondata = json.loads(message.value.decode('utf-8'))
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messages.append(jsondata)
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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finally:
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# 取消订阅并关闭消费者
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consumer.close()
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return jsonify(messages)
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@api_bp.route('/stream/summary')
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def summary():
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consumer: KafkaConsumer = get_KafkaConsumer("orders_summary")
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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jsondata = json.loads(message.value.decode('utf-8'))
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messages.append(jsondata)
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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finally:
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# 取消订阅并关闭消费者
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consumer.close()
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return jsonify(messages)
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@ -6,3 +6,7 @@ page_bp = Blueprint('page', __name__)
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@page_bp.route('/')
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def index():
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return render_template('index.html')
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@page_bp.route('/show')
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def test():
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return render_template('show.html')
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@ -53,7 +53,7 @@ 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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# 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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@ -61,4 +61,4 @@ def run_kafka_producer():
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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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time.sleep(random.random()*3) # 每隔 1-5 秒发送一次
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@ -6,18 +6,10 @@
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<title>哇哦哦哦哦哦哦哦哦哦哦哦哦哦哦哦哦</title>
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</head>
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<body>
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Lorem ipsum dolor sit amet consectetur adipisicing elit. Culpa magnam dicta harum sit voluptas, explicabo sed cumque omnis. Culpa, reiciendis numquam atque quod id molestiae nobis similique placeat eos amet.
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<ul>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>123</li>
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<li>132</li>
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</ul>
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<div class="container">
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<div>
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<iframe src="/show" frameborder="0" width="500" height="600"></iframe></iframe>
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</div>
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</div>
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</body>
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</html>
|
105
templates/show.html
Normal file
105
templates/show.html
Normal file
@ -0,0 +1,105 @@
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>订单展示</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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margin: 0;
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padding: 20px;
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background-color: #ffffff;
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}
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h1 {
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text-align: center;
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color: #333;
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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padding: 20px;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin-top: 20px;
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box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
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}
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th, td {
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padding: 12px;
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text-align: left;
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border: 1px solid #ddd;
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}
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th {
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background-color: #f2f2f2;
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}
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tr:nth-child(even) {
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background-color: #f9f9f9;
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}
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.valid {
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color: green;
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font-weight: bold;
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}
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.invalid {
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color: red;
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font-weight: bold;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>订单信息</h1>
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<table id="orders-table">
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<thead>
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<tr>
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<th>订单ID</th>
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<th>订单分类</th>
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<th>订单名称</th>
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<th>数量</th>
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<th>日期</th>
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<th>是否有效</th>
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</tr>
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</thead>
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<tbody>
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<!-- 这里将通过 JavaScript 动态填充订单数据 -->
|
||||
</tbody>
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</table>
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</div>
|
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|
||||
<script>
|
||||
// 定义一个函数用于请求数据并更新表格
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function fetchAndUpdateOrders() {
|
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fetch('/api/rawdata') // Flask API 路径
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.then(response => response.json())
|
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.then(data => {
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const tableBody = document.querySelector('#orders-table tbody');
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// 清空现有的表格内容
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tableBody.innerHTML = '';
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// 填充新的数据
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data.forEach(order => {
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const row = document.createElement('tr');
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||||
row.innerHTML = `
|
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<td>${order.order_id}</td>
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<td>${order.order_category}</td>
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<td>${order.order_name}</td>
|
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<td>${order.order_quantity}</td>
|
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<td>${order.date}</td>
|
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<td class="${order.is_valid === 'Y' ? 'valid' : 'invalid'}">${order.is_valid === 'Y' ? '有效' : '无效'}</td>
|
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`;
|
||||
tableBody.appendChild(row);
|
||||
});
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('获取订单数据失败:', error);
|
||||
});
|
||||
}
|
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|
||||
// 页面加载时,立即调用一次更新数据的函数
|
||||
fetchAndUpdateOrders();
|
||||
|
||||
// 设置轮询:每 5 秒请求一次数据并更新表格
|
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setInterval(fetchAndUpdateOrders, 5000); // 5000 毫秒 = 5 秒
|
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</script>
|
||||
</body>
|
||||
</html>
|
Loading…
x
Reference in New Issue
Block a user