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- """
- @author: zsc
- @time: 2024/11/18
- @desc: 存量运营平台-行为客户行为挖掘及监控
- """
- import time
- import random
- from collections import defaultdict
- import matplotlib.pyplot as plt
- from data.collector import DataCollector
- from data.processor import DataProcessor
- from analyze import BehaviorAnalyzer
- from analyze import SegmentUsers
- from analyze import DetectAnomalies
- from monitor import Monitor
- from monitor import GenerateReport
- def main():
-
- collector = DataCollector.DataCollector()
- raw_data = collector.collect()
-
- preprocessor = DataProcessor.DataPreprocessor(raw_data)
- processed_data = preprocessor.preprocess()
-
- analyzer = BehaviorAnalyzer.BehaviorAnalyzer(processed_data)
- behavior_data, process_stats, action_stats, product_stats, channel_stats = analyzer.analyze()
-
- segmenter = SegmentUsers.UserSegmentation(behavior_data)
- user_segments = segmenter.segment()
-
- detector = DetectAnomalies.AnomalyDetector(behavior_data)
- anomalies = detector.detect()
-
- generator = GenerateReport.ReportGenerator(processed_data, anomalies, user_segments, process_stats, action_stats, product_stats,
- channel_stats)
- report = generator.generate()
-
- monitor = Monitor.RealTimeMonitor(processed_data)
- print("\n开始实时监控...")
- monitor.monitor()
- if __name__ == "__main__":
- main()
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