#導(dǎo)入csv模塊
import csv
#導(dǎo)入可視化模塊
from matplotlib import pyplot as plt
from pylab import mpl
import numpy as np
import random
from pyecharts import Line,Pie,Grid,Bar,WordCloud
#指定文件名，然后使用 with open() as 打開

python_file = 'haiyang.csv'
#filename = 'release/111.csv'
#python3 LieCharts.py test_chart --python_file 'haiyang.csv'
with open(python_file) as f:
    #創(chuàng)建一個閱讀器：將f傳給csv.reader
    reader = csv.reader(f)
    #使用csv的next函數(shù)，將reader傳給next，將返回文件的下一行
    header_row = next(reader)

    for index, column_header in enumerate(header_row):
        print(index, column_header)

    #讀取置信度
    #創(chuàng)建置信度的列表
    confidences =[]
    #創(chuàng)建風(fēng)險等級數(shù)組
    highRisk = []
    middleRisk = []
    lowRisk = []
    noRisk = []
    person = []
    #創(chuàng)建時間點
    timePoint = []
    #文件信息
    fileInformation = []


    #遍歷reader的余下的所有行（next讀取了第一行，reader每次讀取后將返回下一行）
    for row in reader:

    # 下面就是對某一列數(shù)據(jù)進行遍歷，因為項目保密，就不列出具體代碼了，其實就是各種循環(huán)語句，大家根據(jù)自己的數(shù)據(jù)簡單寫一下就行
            
    fileInformation.append('某某某某')
    fileInformation.append(row[0])
    fileInformation.append(row[1])
    fileInformation.append(row[2])
    fileInformation.append(len(confidences))
    int_confidences = []
    for i in confidences:
  # 同上
    len_noRisk = len(noRisk)
    len_lowRisk = len(lowRisk)
    len_middleRisk = len(middleRisk)
    len_highRisk = len(highRisk)
    len_person = len(person)

    total = int(len_person+len_highRisk+len_middleRisk+len_lowRisk+len_noRisk)
    if (len_highRisk > total/2):
  # 同上

pie_title = Pie('某某某分析報表', "", title_pos='center',title_top="1%",title_text_size=42,subtitle_text_size=20)

value=[10000,6181,4386,4055,4000]
wordcloud=WordCloud(width=30,height=12,title="某某某某信息",title_pos="22%",title_top="12%",title_text_size=32)
wordcloud1=WordCloud(width=30,height=12,title="某某："+fileInformation[1],title_pos="22%",title_top="22%",title_text_size=26)
wordcloud2=WordCloud(width=30,height=12,title="某某："+fileInformation[2],title_pos="22%",title_top="30%",title_text_size=26)
#wordcloud3=WordCloud(width=30,height=12,title="音頻采樣率："+fileInformation[3],title_pos="22%",title_top="38%",title_text_size=26)
#wordcloud4=WordCloud(width=30,height=12,title="總時長/s："+fileInformation[4],title_pos="22%",title_top="36%",title_text_size=32)

# wordcloud.add("",fileInformation,value,word_size_range=[20,100],rotate_step=3
#        ,xaxis_pos=200,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
#折線圖
line=Line("某某某某某走勢圖",title_pos='center',title_top="51%",title_text_size=32,width=600,height = 20)
attr=timePoint
line.add("某某某某某",attr,int_confidences,legend_pos="85%",legend_top="54%",
    mark_point=["max","min"],mark_line=["average"])
#餅圖
attr=["某某某某", "某某某某", "某某某某", "某某某"]
v1=[len_highRisk, len_middleRisk, len_lowRisk,len_noRisk]
pie=Pie("某某某某某某某",title_pos="65%",title_top="12%",title_text_size=32,width=100,height = 100)
pie.add("",attr,v1,radius=[0,30],center=[71,35],
    legend_pos="85%",legend_top="20%" ,legend_orient="vertical")
grid=Grid(width = 1800 ,height= 900)#調(diào)整畫布大小

grid.add(line,grid_left="5%",grid_bottom="2%",grid_top="60%")
grid.add(pie_title,grid_bottom="10%")
grid.add(wordcloud,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
grid.add(wordcloud1,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
grid.add(wordcloud2,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
#grid.add(wordcloud3,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
#grid.add(wordcloud4,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
grid.add(pie,grid_left="50%",grid_bottom="50%")


#grid.render()
grid.render(path='./release/XXXX.html')