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exportDoulistAsMarkdownMultiThread.py
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·335 lines (277 loc) · 10.1 KB
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#!/usr/bin/env python
#! encoding=utf-8
# Author : [email protected]
# Blog : http://kesalin.github.io
# Date : 2016/07/13
# Description : 将豆列导出为 Markdown 文件，多线程版本.
# Version : 1.0.0.0
# Python Version: Python 2.7.3
#
import os
import math
import time
import timeit
import datetime
import re
import string
import urllib2
from threading import Thread
from Queue import Queue
from bs4 import BeautifulSoup
# 获取 url 内容
gUseCookie = True
gHeaders = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36',
'Cookie': 'Put your cookie here'
}
def getHtml(url):
try:
if gUseCookie:
opener = urllib2.build_opener()
for k, v in gHeaders.items():
opener.addheaders.append((k, v))
response = opener.open(url)
data = response.read().decode('utf-8')
else:
request = urllib2.Request(url, None, gHeaders)
response = urllib2.urlopen(request)
data = response.read().decode('utf-8')
except urllib2.URLError as e:
if hasattr(e, "code"):
print("The server couldn't fulfill the request: " + url)
print("Error code: %s" % e.code)
elif hasattr(e, "reason"):
print("We failed to reach a server. Please check your url: " +
url + ", and read the Reason.")
print("Reason: %s" % e.reason)
return data
# 书籍信息类
class BookInfo:
def __init__(self, name, url, icon, num, people, comment):
self.name = name
self.url = url
self.icon = icon
self.ratingNum = num
self.ratingPeople = people
self.comment = comment
self.compositeRating = 0.0
def __sortByRating(self, other):
val = self.ratingNum - other.ratingNum
if val < 0:
return 1
elif val > 0:
return -1
else:
val = self.ratingPeople - other.ratingPeople
if val < 0:
return 1
elif val > 0:
return -1
else:
return 0
def getCompositeRating(self):
if self.compositeRating == 0.0:
k = 0.15
people = max(5, min(1000, self.ratingPeople))
peopleWeight = math.pow(people, k)
if people < 50:
self.compositeRating = (
self.ratingNum * 80 + peopleWeight * 20) / 100.0
elif people < 1000:
self.compositeRating = (
self.ratingNum * 90 + peopleWeight * 10) / 100.0
else:
self.compositeRating = (
self.ratingNum * 95 + peopleWeight * 5) / 100.0
return self.compositeRating
def __sortByCompositeRating(self, other):
val = self.getCompositeRating() - other.getCompositeRating()
if val < 0:
return 1
elif val > 0:
return -1
else:
return 0
def __cmp__(self, other):
return self.__sortByCompositeRating(other)
# 导出为 Markdown 格式文件
def exportToMarkdown(doulistTile, doulistAbout, bookInfos):
path = "{0}.md".format(doulistTile)
if(os.path.isfile(path)):
os.remove(path)
today = datetime.datetime.now()
todayStr = today.strftime('%Y-%m-%d %H:%M:%S %z')
file = open(path, 'a')
file.write('## {0}\n'.format(doulistTile))
file.write('{0}\n'.format(doulistAbout))
file.write('## 图书列表\n')
file.write('### 总计 {0} 本，更新时间：{1}\n'.format(len(bookInfos), todayStr))
i = 0
for book in bookInfos:
file.write('\n### No.{0:d} {1}\n'.format(i + 1, book.name))
file.write(' > **图书名称**： [{0}]({1}) \n'.format(book.name, book.url))
file.write(' > **豆瓣链接**： [{0}]({1}) \n'.format(book.url, book.url))
file.write(' > **豆瓣评分**： {0} \n'.format(book.ratingNum))
file.write(' > **评分人数**： {0} 人 \n'.format(book.ratingPeople))
file.write(' > **我的评论**： {0} \n'.format(book.comment))
i = i + 1
file.close()
# 解析图书信息
def parseItemInfo(page, bookInfos):
soup = BeautifulSoup(page, 'html.parser')
items = soup.find_all("div", "doulist-item")
for item in items:
# print(item.prettify().encode('utf-8'))
# get book name
bookName = ''
content = item.find("div", "title")
if content:
href = content.find("a")
if href and href.string:
bookName = href.string.strip().encode('utf-8')
#print(" > name: {0}".format(bookName))
# get book url and icon
bookUrl = ''
bookImage = ''
content = item.find("div", "post")
if content:
tag = content.find('a')
if tag:
bookUrl = tag['href'].encode('utf-8')
tag = content.find('img')
if tag:
bookImage = tag['src'].encode('utf-8')
#print(" > url: {0}, image: {1}".format(bookUrl, bookImage))
# get rating
ratingNum = 0.0
ratingPeople = 0
contents = item.find("div", "rating")
for content in contents:
if content.name and content.string:
if content.get("class"):
ratingStr = content.string.strip().encode('utf-8')
if len(ratingStr) > 0:
ratingNum = float(ratingStr)
else:
ratingStr = content.string.strip().encode('utf-8')
pattern = re.compile(r'(\()([0-9]*)(.*)(\))')
match = pattern.search(ratingStr)
if match:
ratingStr = match.group(2).strip()
if len(ratingStr) > 0:
ratingPeople = int(ratingStr)
#print(" > ratingNum: {0}, ratingPeople: {1}".format(ratingNum, ratingPeople))
# get comment
comment = ''
content = item.find("blockquote", "comment")
if content:
for child in content.contents:
if not child.name and child.string:
comment = child.string.strip().encode('utf-8')
#print(" > comment: {0}".format(comment))
# add book info to list
bookInfo = BookInfo(bookName, bookUrl, bookImage,
ratingNum, ratingPeople, comment)
bookInfos.append(bookInfo)
#=============================================================================
# 生产者-消费者模型
#=============================================================================
gQueue = Queue(20)
gBookInfos = []
class Producer(Thread):
url = ''
def __init__(self, t_name, url):
Thread.__init__(self, name=t_name)
self.url = url
def run(self):
global gQueue
page = getHtml(self.url)
if page:
gQueue.put(page)
class Consumer(Thread):
running = True
def __init__(self, t_name):
Thread.__init__(self, name=t_name)
def stop(self):
self.running = False
def run(self):
global gQueue
global gBookInfos
while True:
if not self.running and gQueue.empty():
break
page = gQueue.get()
if page:
parseItemInfo(page, gBookInfos)
gQueue.task_done()
# 解析豆列 url
def parse(url):
start = timeit.default_timer()
# all producers
producers = []
# get first page of doulist
page = getHtml(gDoulistUrl)
# get url of other pages in doulist
soup = BeautifulSoup(page, 'html.parser')
# get doulist title
doulistTile = soup.html.head.title.string.encode('utf-8')
print(" > 获取豆列：" + doulistTile)
# get doulist about
doulistAbout = ''
content = soup.find("div", "doulist-about")
if content:
for child in content.children:
if child.string:
htmlContent = child.string.strip().encode('utf-8')
doulistAbout = "{0}\n{1}".format(doulistAbout, htmlContent)
#print("doulist about:" + doulistAbout)
MAX_NEXT_PAGE_START = 100000
nextPageStart = MAX_NEXT_PAGE_START
lastPageStart = 0
content = soup.find("div", "paginator")
if content:
for child in content.children:
if child.name == 'a':
pattern = re.compile(r'(start=)([0-9]*)(.*)(&sort=)')
match = pattern.search(child['href'].encode('utf-8'))
if match:
index = int(match.group(2))
if nextPageStart > index:
nextPageStart = index
if lastPageStart < index:
lastPageStart = index
if nextPageStart == MAX_NEXT_PAGE_START:
nextPageStart = 0
# create consumer
consumer = Consumer('Consumer')
consumer.start()
# get books from current page
gQueue.put(page)
# get books from follow pages
for pageStart in range(nextPageStart, lastPageStart + nextPageStart, nextPageStart):
pageUrl = "{0}?start={1:d}&sort=seq&sub_type=".format(url, pageStart)
print(' > process page : {0}'.format(pageUrl))
producer = Producer('Producer_{0:d}'.format(pageStart), pageUrl)
producer.start()
producers.append(producer)
# wait for all producers
for producer in producers:
producer.join()
# wait for consumer
consumer.stop()
gQueue.put(None)
consumer.join()
# sort
books = sorted(gBookInfos)
# export to markdown
exportToMarkdown(doulistTile, doulistAbout, books)
# summrise
total = len(books)
elapsed = timeit.default_timer() - start
print(" > 共获取 {0} 本图书信息，耗时 {1} 秒".format(total, elapsed))
#=============================================================================
# 程序入口：解析指定豆列
#=============================================================================
gDoulistUrl = "https://www.douban.com/doulist/1133232/"
if __name__ == '__main__':
parse(gDoulistUrl)