448 lines
16 KiB
Python
448 lines
16 KiB
Python
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import time
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import os
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import seaborn as sns
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from config_jingbo import logger
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from sklearn import metrics
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import random, string, base64, hmac, hashlib
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from reportlab.pdfbase import pdfmetrics # 注册字体
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from reportlab.pdfbase.ttfonts import TTFont # 字体类
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from reportlab.platypus import Table, SimpleDocTemplate, Paragraph, Image # 报告内容相关类
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from reportlab.lib.pagesizes import letter # 页面的标志尺寸(8.5*inch, 11*inch)
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from reportlab.lib.styles import getSampleStyleSheet # 文本样式
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from reportlab.lib import colors # 颜色模块
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from reportlab.graphics.charts.barcharts import VerticalBarChart # 图表类
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from reportlab.graphics.charts.legends import Legend # 图例类
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from reportlab.graphics.shapes import Drawing # 绘图工具
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from reportlab.lib.units import cm # 单位：cm
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import smtplib
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from email.mime.text import MIMEText
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from email.mime.multipart import MIMEMultipart
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import sqlite3
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import tkinter as tk
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from tkinter import messagebox
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def timeit(func):
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'''计时装饰器'''
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def wrapper(*args, **kwargs):
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start_time = time.time()
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result = func(*args, **kwargs)
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end_time = time.time()
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execution_time = end_time - start_time
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logger.info(f"{func.__name__} 函数的执行时间为: {execution_time} 秒")
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return result
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return wrapper
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class BinanceAPI:
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'''
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获取 Binance API 请求头签名
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'''
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def __init__(self, APPID, SECRET):
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self.APPID = APPID
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self.SECRET = SECRET
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self.get_signature()
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# 生成随机字符串作为 nonce
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def generate_nonce(self, length=32):
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self.nonce = ''.join(random.choices(string.ascii_letters + string.digits, k=length))
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return self.nonce
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# 获取当前时间戳（秒）
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def get_timestamp(self):
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return int(time.time())
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# 构建待签名字符串
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def build_sign_str(self):
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return f'appid={self.APPID}&nonce={self.nonce}×tamp={self.timestamp}'
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# 使用 HMAC SHA-256 计算签名
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def calculate_signature(self, secret, message):
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return base64.urlsafe_b64encode(hmac.new(secret.encode('utf-8'), message.encode('utf-8'), hashlib.sha256).digest()).decode('utf-8')
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def get_signature(self):
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# 调用上述方法生成签名
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self.nonce = self.generate_nonce()
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self.timestamp = self.get_timestamp()
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self.sign_str = self.build_sign_str()
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self.signature = self.calculate_signature(self.SECRET, self.sign_str)
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# return self.signature
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class Graphs:
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'''
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pdf生成类
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'''
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# 绘制标题
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@staticmethod
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def draw_title(title: str):
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# 获取所有样式表
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style = getSampleStyleSheet()
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# 拿到标题样式
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ct = style['Heading1']
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# 单独设置样式相关属性
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ct.fontName = 'SimSun' # 字体名
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ct.fontSize = 18 # 字体大小
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ct.leading = 50 # 行间距
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ct.textColor = colors.green # 字体颜色
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ct.alignment = 1 # 居中
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ct.bold = True
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# 创建标题对应的段落，并且返回
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return Paragraph(title, ct)
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# 绘制小标题
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@staticmethod
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def draw_little_title(title: str):
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# 获取所有样式表
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style = getSampleStyleSheet()
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# 拿到标题样式
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ct = style['Normal']
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# 单独设置样式相关属性
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ct.fontName = 'SimSun' # 字体名
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ct.fontSize = 15 # 字体大小
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ct.leading = 30 # 行间距
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ct.textColor = colors.red # 字体颜色
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# 创建标题对应的段落，并且返回
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return Paragraph(title, ct)
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# 绘制普通段落内容
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@staticmethod
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def draw_text(text: str):
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# 获取所有样式表
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style = getSampleStyleSheet()
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# 获取普通样式
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ct = style['Normal']
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ct.fontName = 'SimSun'
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ct.fontSize = 12
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ct.wordWrap = 'CJK' # 设置自动换行
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ct.alignment = 0 # 左对齐
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ct.firstLineIndent = 32 # 第一行开头空格
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ct.leading = 25
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return Paragraph(text, ct)
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# 绘制表格
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@staticmethod
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def draw_table(col_width,*args):
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# 列宽度
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col_width = col_width
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style = [
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('FONTNAME', (0, 0), (-1, -1), 'SimSun'), # 字体
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('FONTSIZE', (0, 0), (-1, 0), 10), # 第一行的字体大小
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('FONTSIZE', (0, 1), (-1, -1), 8), # 第二行到最后一行的字体大小
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('BACKGROUND', (0, 0), (-1, 0), '#d5dae6'), # 设置第一行背景颜色
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('ALIGN', (0, 0), (-1, -1), 'CENTER'), # 第一行水平居中
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('ALIGN', (0, 1), (-1, -1), 'LEFT'), # 第二行到最后一行左右左对齐
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('VALIGN', (0, 0), (-1, -1), 'MIDDLE'), # 所有表格上下居中对齐
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('TEXTCOLOR', (0, 0), (-1, -1), colors.darkslategray), # 设置表格内文字颜色
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('GRID', (0, 0), (-1, -1), 0.5, colors.grey), # 设置表格框线为grey色，线宽为0.5
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# ('SPAN', (0, 1), (0, 2)), # 合并第一列二三行
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# ('SPAN', (0, 3), (0, 4)), # 合并第一列三四行
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# ('SPAN', (0, 5), (0, 6)), # 合并第一列五六行
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# ('SPAN', (0, 7), (0, 8)), # 合并第一列五六行
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]
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table = Table(args, colWidths=col_width, style=style)
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return table
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# 创建图表
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@staticmethod
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def draw_bar(bar_data: list, ax: list, items: list):
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drawing = Drawing(500, 250)
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bc = VerticalBarChart()
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bc.x = 45 # 整个图表的x坐标
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bc.y = 45 # 整个图表的y坐标
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bc.height = 200 # 图表的高度
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bc.width = 350 # 图表的宽度
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bc.data = bar_data
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bc.strokeColor = colors.black # 顶部和右边轴线的颜色
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bc.valueAxis.valueMin = 5000 # 设置y坐标的最小值
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bc.valueAxis.valueMax = 26000 # 设置y坐标的最大值
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bc.valueAxis.valueStep = 2000 # 设置y坐标的步长
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bc.categoryAxis.labels.dx = 2
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bc.categoryAxis.labels.dy = -8
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bc.categoryAxis.labels.angle = 20
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bc.categoryAxis.categoryNames = ax
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# 图示
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leg = Legend()
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leg.fontName = 'SimSun'
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leg.alignment = 'right'
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leg.boxAnchor = 'ne'
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leg.x = 475 # 图例的x坐标
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leg.y = 240
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leg.dxTextSpace = 10
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leg.columnMaximum = 3
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leg.colorNamePairs = items
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drawing.add(leg)
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drawing.add(bc)
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return drawing
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# 绘制图片
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@staticmethod
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def draw_img(path):
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img = Image(path) # 读取指定路径下的图片
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img.drawWidth = 20*cm # 设置图片的宽度
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img.drawHeight = 10*cm # 设置图片的高度
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return img
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# 评估指标不在一个库，这里列出所有用到的指标的公式
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# MSE
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def mse(y_true, y_pred):
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res_mse = metrics.mean_squared_error(y_true, y_pred)
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return res_mse
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# RMSE
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def rmse(y_true, y_pred):
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res_rmse = np.sqrt(metrics.mean_squared_error(y_true, y_pred))
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return res_rmse
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# MAE
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def mae(y_true, y_pred):
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res_mae = metrics.mean_absolute_error(y_true, y_pred)
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return res_mae
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# sklearn的库中没有MAPE和SMAPE，下面根据公式给出算法实现
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# MAPE
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def mape(y_true, y_pred):
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res_mape = np.mean(np.abs((y_pred - y_true) / y_true)) * 100
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return res_mape
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# SMAPE
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def smape(y_true, y_pred):
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res_smape = 2.0 * np.mean(np.abs(y_pred - y_true) / (np.abs(y_pred) + np.abs(y_true))) * 100
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return res_smape
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# 相关系数绘制
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def plot_corr(data, size=11):
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# 去掉ds列
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data.drop(columns=['ds'], inplace=True)
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# 创建一个空的 DataFrame 来保存相关系数
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correlation_df = pd.DataFrame(columns=['Feature', 'Correlation'])
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# 计算各特征与目标列的皮尔逊相关系数，并保存到新的 DataFrame 中
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for col in data.columns:
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if col!= 'y':
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pearson_correlation = np.corrcoef(data[col], data['y'])[0, 1]
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spearman_correlation, _ = spearmanr(data[col], data['y'])
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new_row = {'Feature': col, 'Pearson_Correlation': round(pearson_correlation,3), 'Spearman_Correlation': round(spearman_correlation,2)}
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correlation_df = correlation_df._append(new_row, ignore_index=True)
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# 删除空列
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correlation_df.drop('Correlation', axis=1, inplace=True)
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correlation_df.dropna(inplace=True)
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correlation_df.to_csv('指标相关性分析.csv', index=False)
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data = correlation_df['Pearson_Correlation'].values.tolist()
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# 生成 -1 到 1 的 20 个区间
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bins = np.linspace(-1, 1, 21)
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# 计算每个区间的统计数（这里是区间内数据的数量）
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hist_values = [np.sum((data >= bins[i]) & (data < bins[i + 1])) for i in range(len(bins) - 1)]
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#设置画布大小
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plt.figure(figsize=(10, 6))
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# 绘制直方图
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plt.bar(bins[:-1], hist_values, width=(bins[1] - bins[0]))
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# 添加标题和坐标轴标签
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plt.title('皮尔逊相关系数分布图')
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plt.xlabel('区间')
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plt.ylabel('统计数')
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plt.savefig('皮尔逊相关性系数.png')
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plt.close()
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#设置画布大小
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plt.figure(figsize=(10, 6))
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data = correlation_df['Spearman_Correlation'].values.tolist()
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# 计算每个区间的统计数（这里是区间内数据的数量）
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hist_values = [np.sum((data >= bins[i]) & (data < bins[i + 1])) for i in range(len(bins) - 1)]
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# 绘制直方图
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plt.bar(bins[:-1], hist_values, width=(bins[1] - bins[0]))
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# 添加标题和坐标轴标签
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plt.title('斯皮尔曼相关系数分布图')
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plt.xlabel('区间')
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plt.ylabel('统计数')
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plt.savefig('斯皮尔曼相关性系数.png')
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plt.close()
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# 邮件封装
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class SendMail(object):
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def __init__(self,username,passwd,recv,title,content,
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file=None,ssl=False,
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email_host='smtp.qq.com',port=25,ssl_port=465):
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'''
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:param username: 用户名
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:param passwd: 密码
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:param recv: 收件人，多个要传list ['a@qq.com','b@qq.com]
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:param title: 邮件标题
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:param content: 邮件正文
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:param file: 附件路径，如果不在当前目录下，要写绝对路径，默认没有附件
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:param ssl: 是否安全链接，默认为普通
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:param email_host: smtp服务器地址，默认为163服务器
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:param port: 非安全链接端口，默认为25
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:param ssl_port: 安全链接端口，默认为465
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'''
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self.username = username #用户名
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self.passwd = passwd #密码
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self.recv = recv #收件人，多个要传list ['a@qq.com','b@qq.com]
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self.title = title #邮件标题
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self.content = content #邮件正文
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self.file = file #附件路径，如果不在当前目录下，要写绝对路径
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self.email_host = email_host #smtp服务器地址
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self.port = port #普通端口
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self.ssl = ssl #是否安全链接
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self.ssl_port = ssl_port #安全链接端口
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def send_mail(self):
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msg = MIMEMultipart()
|
|||
|
|
#发送内容的对象
|
|||
|
|
if self.file:#处理附件的
|
|||
|
|
file_name = os.path.split(self.file)[-1]#只取文件名，不取路径
|
|||
|
|
try:
|
|||
|
|
f = open(self.file, 'rb').read()
|
|||
|
|
except Exception as e:
|
|||
|
|
raise Exception('附件打不开！！！！')
|
|||
|
|
else:
|
|||
|
|
att = MIMEText(f,"base64", "utf-8")
|
|||
|
|
att["Content-Type"] = 'application/octet-stream'
|
|||
|
|
#base64.b64encode(file_name.encode()).decode()
|
|||
|
|
new_file_name='=?utf-8?b?' + base64.b64encode(file_name.encode()).decode() + '?='
|
|||
|
|
#这里是处理文件名为中文名的，必须这么写
|
|||
|
|
att["Content-Disposition"] = 'attachment; filename="%s"'%(new_file_name)
|
|||
|
|
msg.attach(att)
|
|||
|
|
msg.attach(MIMEText(self.content))#邮件正文的内容
|
|||
|
|
msg['Subject'] = self.title # 邮件主题
|
|||
|
|
msg['From'] = self.username # 发送者账号
|
|||
|
|
msg['To'] = ','.join(self.recv) # 接收者账号列表
|
|||
|
|
if self.ssl:
|
|||
|
|
self.smtp = smtplib.SMTP_SSL(self.email_host,port=self.ssl_port)
|
|||
|
|
else:
|
|||
|
|
self.smtp = smtplib.SMTP(self.email_host,port=self.port)
|
|||
|
|
#发送邮件服务器的对象
|
|||
|
|
self.smtp.login(self.username,self.passwd)
|
|||
|
|
try:
|
|||
|
|
self.smtp.sendmail(self.username,self.recv,msg.as_string())
|
|||
|
|
pass
|
|||
|
|
except Exception as e:
|
|||
|
|
print('出错了。。',e)
|
|||
|
|
logger.info('邮件服务出错了。。',e)
|
|||
|
|
else:
|
|||
|
|
print('发送成功！')
|
|||
|
|
logger.info('邮件发送成功！')
|
|||
|
|
self.smtp.quit()
|
|||
|
|
|
|||
|
|
def dateConvert(df, datecol='ds'):
|
|||
|
|
# 将date列转换为datetime类型
|
|||
|
|
try:
|
|||
|
|
df[datecol] = pd.to_datetime(df[datecol],format=r'%Y-%m-%d')
|
|||
|
|
except:
|
|||
|
|
df[datecol] = pd.to_datetime(df[datecol],format=r'%Y/%m/%d')
|
|||
|
|
return df
|
|||
|
|
|
|||
|
|
|
|||
|
|
class SQLiteHandler:
|
|||
|
|
def __init__(self, db_name):
|
|||
|
|
self.db_name = db_name
|
|||
|
|
self.connection = None
|
|||
|
|
self.cursor = None
|
|||
|
|
|
|||
|
|
def connect(self):
|
|||
|
|
self.connection = sqlite3.connect(self.db_name)
|
|||
|
|
self.cursor = self.connection.cursor()
|
|||
|
|
|
|||
|
|
def close(self):
|
|||
|
|
if self.connection:
|
|||
|
|
self.connection.close()
|
|||
|
|
self.connection = None
|
|||
|
|
self.cursor = None
|
|||
|
|
|
|||
|
|
def execute_query(self, query, params=None):
|
|||
|
|
if params:
|
|||
|
|
return self.cursor.execute(query, params)
|
|||
|
|
else:
|
|||
|
|
return self.cursor.execute(query)
|
|||
|
|
|
|||
|
|
def commit(self):
|
|||
|
|
self.connection.commit()
|
|||
|
|
|
|||
|
|
def create_table(self, table_name, columns):
|
|||
|
|
query = f"CREATE TABLE IF NOT EXISTS {table_name} ({columns})"
|
|||
|
|
self.execute_query(query)
|
|||
|
|
self.commit()
|
|||
|
|
|
|||
|
|
def insert_data(self, table_name, values, columns=None):
|
|||
|
|
if columns:
|
|||
|
|
placeholders = ', '.join(['?'] * len(values))
|
|||
|
|
query = f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES ({placeholders})"
|
|||
|
|
else:
|
|||
|
|
placeholders = ', '.join(['?'] * len(values))
|
|||
|
|
query = f"INSERT INTO {table_name} VALUES ({placeholders})"
|
|||
|
|
self.execute_query(query, values)
|
|||
|
|
self.commit()
|
|||
|
|
|
|||
|
|
def select_data(self, table_name, columns=None, where_condition=None, order_by=None, limit=None):
|
|||
|
|
query = f"SELECT {', '.join(columns) if columns else '*'} FROM {table_name}"
|
|||
|
|
if where_condition:
|
|||
|
|
query += f" WHERE {where_condition}"
|
|||
|
|
if order_by:
|
|||
|
|
query += f" ORDER BY {order_by}"
|
|||
|
|
if limit:
|
|||
|
|
query += f" LIMIT {limit}"
|
|||
|
|
results = self.execute_query(query).fetchall()
|
|||
|
|
if results:
|
|||
|
|
headers = [description[0] for description in self.execute_query(query).description]
|
|||
|
|
return pd.DataFrame(results, columns=headers)
|
|||
|
|
else:
|
|||
|
|
return pd.DataFrame()
|
|||
|
|
|
|||
|
|
def update_data(self, table_name, set_values, where_condition):
|
|||
|
|
query = f"UPDATE {table_name} SET {set_values} WHERE {where_condition}"
|
|||
|
|
logger.info('更新数据sql'+ query)
|
|||
|
|
self.execute_query(query)
|
|||
|
|
self.commit()
|
|||
|
|
|
|||
|
|
def delete_data(self, table_name, where_condition):
|
|||
|
|
query = f"DELETE FROM {table_name} WHERE {where_condition}"
|
|||
|
|
self.execute_query(query)
|
|||
|
|
self.commit()
|
|||
|
|
|
|||
|
|
def check_table_exists(self, table_name):
|
|||
|
|
query = f"SELECT name FROM sqlite_master WHERE type='table' AND name='{table_name}'"
|
|||
|
|
result = self.execute_query(query).fetchone()
|
|||
|
|
return result is not None
|
|||
|
|
|
|||
|
|
def add_column_if_not_exists(self, table_name, column_name, column_type):
|
|||
|
|
# 查询表结构
|
|||
|
|
query = f"PRAGMA table_info({table_name})"
|
|||
|
|
self.execute_query(query)
|
|||
|
|
columns = [column[1] for column in self.cursor.fetchall()]
|
|||
|
|
|
|||
|
|
# 判断列是否存在
|
|||
|
|
if column_name not in columns:
|
|||
|
|
# 如果列不存在，则添加列
|
|||
|
|
query = f"ALTER TABLE {table_name} ADD COLUMN {column_name} {column_type}"
|
|||
|
|
self.execute_query(query)
|
|||
|
|
self.commit()
|
|||
|
|
print(f"Column '{column_name}' added to table '{table_name}' successfully.")
|
|||
|
|
else:
|
|||
|
|
print(f"Column '{column_name}' already exists in table '{table_name}'.")
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
if __name__ == '__main__':
|
|||
|
|
print('This is a tool, not a script.')
|