import requests
import urllib.request as down
import json
from fontTools.ttLib import TTFont
import re
#分析用
import matplotlib.pyplot as plt #繪圖
import numpy as np # 科學(xué)計(jì)算庫

baseFont=TTFont('maoyan.woff')
# 獲取相應(yīng)數(shù)字的namecode和形狀坐標(biāo)的關(guān)系，可用來獲取坐標(biāo)
glyf=baseFont['glyf']
#通過對一份字體樣本分析得出的字體映射
baseNumberMaps={
 0:glyf['uniF632'],
 1:glyf['uniF2F1'],
 2:glyf['uniF0A4'],
 3:glyf['uniF7B7'],
 4:glyf['uniE82D'],
 5:glyf['uniF653'],
 6:glyf['uniE756'],
 7:glyf['uniF41A'],
 8:glyf['uniE79B'],
 9:glyf['uniE81E']
}
for num,name in baseNumberMaps.items():
 print(name.coordinates)

import requests
import urllib.request as down
import json
from fontTools.ttLib import TTFont
import re
import MyPyClass

# 得到字體斜率列表（部分）
def font_Kdict(mapstype,maps=None):
 '''
 得到字體斜率字典（部分）
 參數(shù)：
 mapstype：str->maps類型，判斷是是base/new
 maps：映射字典

 return kdict
 kdict字典關(guān)系：
 num:Klist 數(shù)字對應(yīng)每條線段的斜率列表
 '''
 kdict={}
 # 遍歷maps字典，找到對應(yīng)的num和namecode
 for num, namecode in maps.items():
 # 跳過無用數(shù)據(jù)
 if namecode == 'x': continue
 # 判斷類型，并從.coordinates得到對應(yīng)num的所有坐標(biāo)
 if mapstype=='base':coordinates = namecode.coordinates
 elif mapstype=='new':coordinates=glyf[namecode].coordinates
 # 得到坐標(biāo) X列表和坐標(biāo) Y列表
 x = [i[0] for i in coordinates]
 y = [i[1] for i in coordinates]
 Klist = []
 # 遍歷X列表并切片為前10個數(shù)據(jù)進(jìn)行斜率計(jì)算，即代表繪圖的前10條線段的斜率
 for index, absx in enumerate(x[:10]):
  # 當(dāng)斜率為0/1時(shí)，認(rèn)為斜率為1計(jì)算
  if x[index + 1] == x[index] or y[index + 1] == y[index]:
  absxy = 1
  else:
  absxy = (y[index + 1] - y[index]) / (x[index + 1] - x[index])
  # 將斜率加入到列表
  Klist.append(-absxy if absxy  0 else absxy)
 kdict[num]=Klist
 #print('base:', code, Klist, name)
 return kdict
# 對比斜率字典
def contrast_K(kbase,knew):
 '''
 對比斜率映射差距
 參數(shù)：
 kbase:基礎(chǔ)字體映射表的斜率字典
 knew:當(dāng)前鏈接的字體映射表的斜率字典

 return:dict
 fontMaps:根據(jù)對比得出正確的字體映射關(guān)系字典

 '''
 fontMaps = {}
 # 遍歷kbase字典
 for base in kbase.items():
 n = 0 # 成功匹配的斜率個數(shù)
 # 遍歷knew字典
 for new in knew.items():
  # 遍歷kbase>knew>下的兩組斜率，進(jìn)行大小匹配，
  # 如果斜率k的差值小于0.5，并且樣本數(shù)>=9時(shí)，認(rèn)為兩個坐標(biāo)圖形相識只是大小比例不同
  # 即k=0.5 n>=9
  for (k1,k2) in zip(base[1],new[1]):
  # k取正數(shù)
  k=k1-k2 if k1>k2 else k2-k1
  if k=0.5:
   n+=1
   continue
  else:
   break
  if n>=9:
  # 匹配正確則添加進(jìn)字典中 此時(shí)的字典關(guān)系是：code:num 代碼對應(yīng)數(shù)字的關(guān)系
  fontMaps[str(hex(new[0]).replace('0x','#x'))]=str(base[0])
  break
  n=0
 #print(fontMaps)
 return fontMaps

# 建立基礎(chǔ)字體對象
baseFont=TTFont('maoyan.woff')
# 獲取相應(yīng)數(shù)字的namecode和形狀坐標(biāo)的關(guān)系，可用來獲取坐標(biāo)
glyf=baseFont['glyf']
#通過對一份字體樣本分析得出的字體映射
baseNumberMaps={
 0:glyf['uniF632'],
 1:glyf['uniF2F1'],
 2:glyf['uniF0A4'],
 3:glyf['uniF7B7'],
 4:glyf['uniE82D'],
 5:glyf['uniF653'],
 6:glyf['uniE756'],
 7:glyf['uniF41A'],
 8:glyf['uniE79B'],
 9:glyf['uniE81E']
}
url='https://piaofang.maoyan.com/dashboard-ajax?orderType=0uuid=1778ad877f8c8-0b23bf32a2bb26-c7d6957-1fa400-1778ad877f8c8riskLevel=71optimusCode=10'
ua=MyPyClass.GetUserAgent()#獲得ua
# 爬取內(nèi)容
with requests.get(url,headers={'user-agent':ua}) as response:
 # 獲取存放字典的json字段，并提取字體url
 fontStyle=json.loads(response.content)['fontStyle']
 fontStyle=re.findall('\"([\s\S]*?)\"',fontStyle[::-1])
 fonturl='http:'+fontStyle[0][::-1]# 字體url鏈接
 # 將加載的字體下載保存到本地，并對其進(jìn)行分析
 down.urlretrieve(fonturl,'newfont.woff')
 # 爬取的電影數(shù)據(jù)內(nèi)容
 content = json.loads(response.content)['movieList']['data']['list']
# 信息字典
movieNum={}#綜合票房數(shù)字典
movieDayOne= {}#上映首日數(shù)量
movieRate={}#票房占比
movieshowCount={}#排片場次
movieViewerAvg={}#場均人數(shù)
movieInfos={}
# 頁面內(nèi)容
for i in content:
 moviename=i['movieInfo']['movieName']
 movieNum[moviename]=i['boxSplitUnit']['num']
 movieDayOne[moviename]=i['sumBoxDesc']
 movieRate[moviename]=i['splitBoxRate']
 movieshowCount[moviename]=i['showCount']
 movieViewerAvg[moviename]=i['avgShowView']

# 新字體對象
fontnew=TTFont('newfont.woff')
# 得到當(dāng)前字體的映射關(guān)系表
newNumberMaps=fontnew.getBestCmap()
# 獲取字形
glyf=fontnew['glyf']
# 基礎(chǔ)字體斜率字典
k_base_dict=font_Kdict(maps=baseNumberMaps,mapstype='base')
# 新字體斜率字典
k_new_dict=font_Kdict(maps=fontnew.getBestCmap(),mapstype='new')
# 得到字體映射字典
fontcodes=contrast_K(k_base_dict,k_new_dict)
# 對加密的字體遍歷分組，并去除無用字符
for name,numbercode in movieNum.items():
 movieNum[name]=re.findall('([\S]*?);', numbercode)
# 根據(jù)得到的fontcodes映射對加密字體進(jìn)行替換，得到正確數(shù)值
for index,(name,numbercodelist) in enumerate(movieNum.items()):
 num=[]
 # 替換操作
 for code in numbercodelist:
 if '.' in code:
  code=code.replace('.','')
  num.append('.'+fontcodes[code])
 else:
  num.append(fontcodes[code])
 infos=['排行:'+str(index+1),
 '片名',name,
 '上映首日',movieDayOne[name],
 '票房',''.join(num)+'萬',
 '票房占比',movieRate[name],
 '場均人數(shù)',movieViewerAvg[name]+'人',
 '排片場次',movieshowCount[name]]
 print(infos)