stock-operation/user_events/monitor/GenerateReport.py

# -*- coding: utf-8 -*-
"""
@author: zsc
@time: 2024/11/18
@desc:  报告生成
"""
import time
import random
from collections import defaultdict
import matplotlib.pyplot as plt

# 报告生成模块（续）
class ReportGenerator:
    def __init__(self, data, anomalies, segments, action_stats):
        self.data = data
        self.anomalies = anomalies
        self.segments = segments
        self.action_stats = action_stats

    def generate(self):
        # 生成用户行为报告，并展示成图表形式
        report = {
            'total_users': len(set([item['user'] for item in self.data])),
            'total_actions': len(self.data),
            'anomalies': self.anomalies,
            'user_segments': self.segments,
            'action_stats': self.action_stats
        }
        self.plot_action_stats(self.action_stats)
        self.plot_user_segments(self.segments)
        return report

    def plot_action_stats(self, action_stats):
        # 生成行为统计图表
        actions = list(action_stats.keys())
        counts = list(action_stats.values())
        plt.figure(figsize=(10, 6))
        plt.bar(actions, counts, color='skyblue')
        plt.xlabel('Actions')
        plt.ylabel('Counts')
        plt.title('Action Statistics')
        plt.show()

    def plot_user_segments(self, segments):
        # 生成用户分群图表
        segment_names = list(segments.keys())
        segment_counts = [len(segments[segment]) for segment in segment_names]
        plt.figure(figsize=(10, 6))
        plt.bar(segment_names, segment_counts, color='lightgreen')
        plt.xlabel('User Segments')
        plt.ylabel('Number of Users')
        plt.title('User Segmentation')
        plt.show()