# requirement.txt
jieba==0.38
matplotlib==2.0.2
numpy==1.13.1
pyparsing==2.2.0
requests==2.18.4
scipy==0.19.1
wordcloud==1.3.1

pip install -r requirement.txt

uid=1192515960&
luicode=10000011&
lfid=100103type%3D3%26q%3D%E6%9D%8E%E5%86%B0%E5%86%B0&
featurecode=20000320&
type=user&
containerid=1076031192515960

{
 "cardlistInfo": {
 "containerid": "1076031192515960",
 "total": 4754,
 "page": 2
 },
 "cards": [
 {
 "card_type": 9,
 "mblog": {
 "created_at": "08-26",
 "idstr": "4145069944506080",
 "text": "瑞士一日游圆满结束...",
 }
 }]
}

headers = {
 "Host": "m.weibo.cn",
 "Referer": "https://m.weibo.cn/u/1705822647",
 "User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 9_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) "
   "Version/9.0 Mobile/13B143 Safari/601.1",
}

params = {"uid": "{uid}",
  "luicode": "20000174",
  "featurecode": "20000320",
  "type": "uid",
  "value": "1705822647",
  "containerid": "{containerid}",
  "page": "{page}"}

def fetch_data(uid=None, container_id=None):
 """
 抓取数据，并保存到CSV文件中
 :return:
 """
 page = 0
 total = 4754
 blogs = []
 for i in range(0, total // 10):
 params['uid'] = uid
 params['page'] = str(page)
 params['containerid'] = container_id
 res = requests.get(url, params=params, headers=HEADERS)
 cards = res.json().get("cards")

 for card in cards:
  # 每条微博的正文内容
  if card.get("card_type") == 9:
  text = card.get("mblog").get("text")
  text = clean_html(text)
  blogs.append(text)
 page += 1
 print("抓取第{page}页，目前总共抓取了 {count} 条微博".format(page=page, count=len(blogs)))
 with codecs.open('weibo1.txt', 'w', encoding='utf-8') as f:
  f.write("\n".join(blogs))

def generate_image():
 data = []
 jieba.analyse.set_stop_words("./stopwords.txt")

 with codecs.open("weibo1.txt", 'r', encoding="utf-8") as f:
 for text in f.readlines():
  data.extend(jieba.analyse.extract_tags(text, topK=20))
 data = " ".join(data)
 mask_img = imread('./52f90c9a5131c.jpg', flatten=True)
 wordcloud = WordCloud(
  font_path='msyh.ttc',
  background_color='white',
  mask=mask_img
 ).generate(data)
 plt.imshow(wordcloud.recolor(color_func=grey_color_func, random_state=3),
   interpolation="bilinear")
 plt.axis('off')
 plt.savefig('./heart2.jpg', dpi=1600)

# -*- coding:utf-8 -*-
import codecs
import re

import jieba.analyse
import matplotlib.pyplot as plt
import requests
from scipy.misc import imread
from wordcloud import WordCloud

__author__ = 'liuzhijun'

headers = {
  "Host": "m.weibo.cn",
  "Referer": "https://m.weibo.cn/u/1705822647",
  "User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 9_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) "
         "Version/9.0 Mobile/13B143 Safari/601.1",
}


def clean_html(raw_html):
  pattern = re.compile(r'<.*?>|转发微博|//:|Repost|，|？|。|、|分享图片|回复@.*?:|//@.*')
  text = re.sub(pattern, '', raw_html)
  return text


url = "https://m.weibo.cn/api/container/getIndex"
params = {"uid": "{uid}",
     "luicode": "20000174",
     "featurecode": "20000320",
     "type": "uid",
     "value": "1705822647",
     "containerid": "{containerid}",
     "page": "{page}"}


def fetch_data(uid=None, container_id=None):
  """
  抓取数据，并保存到CSV文件中
  :return:
  """
  page = 0
  total = 4754
  blogs = []
  for i in range(0, total // 10):
    params['uid'] = uid
    params['page'] = str(page)
    params['containerid'] = container_id
    res = requests.get(url, params=params, headers=headers)
    cards = res.json().get("cards")

    for card in cards:
      # 每条微博的正文内容
      if card.get("card_type") == 9:
        text = card.get("mblog").get("text")
        text = clean_html(text)
        blogs.append(text)
    page += 1
    print("抓取第{page}页，目前总共抓取了 {count} 条微博".format(page=page, count=len(blogs)))
    with codecs.open('weibo1.txt', 'w', encoding='utf-8') as f:
      f.write("\n".join(blogs))


def grey_color_func(word, font_size, position, orientation, random_state=None,
          **kwargs):
  s = "hsl(0, 0%%, %d%%)" % 0
  return s


def generate_image():
  data = []
  jieba.analyse.set_stop_words("./stopwords.txt")

  with codecs.open("weibo1.txt", 'r', encoding="utf-8") as f:
    for text in f.readlines():
      data.extend(jieba.analyse.extract_tags(text, topK=20))
    data = " ".join(data)
    mask_img = imread('./52f90c9a5131c.jpg', flatten=True)
    wordcloud = WordCloud(
      font_path='msyh.ttc',
      background_color='white',
      mask=mask_img
    ).generate(data)
    plt.imshow(wordcloud.recolor(color_func=grey_color_func, random_state=3),
          interpolation="bilinear")
    plt.axis('off')
    plt.savefig('./heart2.jpg', dpi=1600)


if __name__ == '__main__':
  fetch_data("1192515960", "1076031192515960")
  generate_image()