读取txt写入excel

import csv

#实现的思想:首先从txt中读取所有的内容，NUM=1当做键，其他当做值，如果查找缺少a,b,c,d,e,f,g
# 则NUM不会添加到字典中，然后通过所有的NUM和字典中的KEY（NUM）做对比，没有在字典中的说明缺少字段，写入error

def tucsv():
    newfile = open("wu.csv", "w", newline="")
    filewriter = csv.writer(newfile)

    filewriter.writerow(["aaa", "bbb", "ccc"])
    for i in list(numxinxi.items()):
        x = i[0]
        y = i[1]["b"]
        filewriter.writerow([i[0],i[1]["b"],i[1]["c"],i[1]["d"],i[1]["e"],i[1]["f"],i[1]["g"]])

def shul():#部分没有找到检测的字段，则需要对比查找，找到这些行
    ff = open("C:\\Users\\Administrator\\Desktop\\1.txt", "r")
    mylist=[]
    for xx in ff.readlines():
         xx = xx.strip()#用strip去掉头尾默认空格或换行符
         if a in xx:
            aa1 = xx.split(",")[1]
            bb_id1 = aa1.split(a)[1]
            mylist.append(bb_id1)
    for y in mylist:
        if y not in numxinxi.keys():
            # print(y)
            numxinxi[y] = {"b": bb, "c": cc, "d": dd, "e": "", "f": "", "g": "error"}

fp=open("C:\\Users\\Administrator\\Desktop\\1.txt","r")
numxinxi={}
a="Num="
b="VOICE FileName="
c="Scene="
d="QueryID: "
e="Cloud ASR final result: "
f="ASR expected result:"
g="Cloud ASR Status:"
for x in fp.readlines():
    if a in x:
        aa=x.split(",")[1]
        bb_id=aa.split(a)[1]

    if b in x:
        bb=x.split(b)[1]
    if c in x:
        cc=x.split(c)[1]

    if d in x:
        dd=x.split(d)[1]

    if e in x:
        ee=x.split(e)[1]
    if f in x:
        ff=x.split(f)[1]

    if g in x:
        gg=x.split(g)[1]
        numxinxi[bb_id]={"b":bb,"c":cc,"d":dd,"e":ee,"f":ff,"g":gg}#如果检测的数据都存在txt里面，就添加到字典里面
        #如果有异常字段的需要写入其他error
        shul()

tucsv()