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

plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号

# 报告生成模块（续）
class ReportGenerator:
    def __init__(self, data, anomalies, segments, action_stats, product_stats, channel_stats):
        self.data = data
        self.anomalies = anomalies
        self.segments = segments
        self.action_stats = action_stats
        self.product_stats = product_stats
        self.channel_stats = channel_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,
            'product_stats': self.product_stats,
            'channel_stats': self.channel_stats
        }
        self.plot_action_stats(self.action_stats)
        self.plot_product_stats(self.product_stats)
        self.plot_channel_stats(self.channel_stats)
        return report

    def plot_action_stats(self, action_stats):
        if not action_stats:
            print("No data for action stats.")
            return
        # 生成行为统计图表
        actions = list(action_stats.keys())
        counts = list(action_stats.values())
        plt.figure(figsize=(12, 8))  # 调整图表大小
        plt.bar(actions, counts, color='skyblue')
        plt.xlabel('行为', fontsize=12)  # 调整字体大小
        plt.ylabel('次数', fontsize=12)
        plt.title('行为统计', fontsize=14)
        plt.xticks(rotation=45, fontsize=10)  # 旋转刻度标签并调整字体大小
        plt.yticks(fontsize=10)
        plt.tight_layout()  # 自动调整布局
        # 如果需要，可以手动调整边距
        # plt.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)
        plt.show()

    def plot_product_stats(self, product_stats):
        if not product_stats:
            print("No data for product stats.")
            return
        # 生成产品统计图表
        products = list(product_stats.keys())
        counts = list(product_stats.values())
        plt.figure(figsize=(10, 6))
        plt.bar(products, counts, color='lightgreen')
        plt.xlabel('产品')
        plt.ylabel('次数')
        plt.title('产品统计')
        plt.show()

    def plot_channel_stats(self, channel_stats):
        if not channel_stats:
            print("No data for channel stats.")
            return
        # 生成渠道统计图表
        channels = list(channel_stats.keys())
        counts = list(channel_stats.values())
        plt.figure(figsize=(10, 6))
        plt.bar(channels, counts, color='orange')
        plt.xlabel('渠道')
        plt.ylabel('次数')
        plt.title('渠道统计')
        plt.show()