1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
import json
import time
from bs4 import BeautifulSoup
from utils.Logger import log
from utils.createBrowserDriver import create
from utils.filse import save_json
from api.index import importJson, getReptileTask, importJsonPath
from utils.index import convert_to_traditional, yt_dlp_download, convert_string_to_time, parse_twitter_time_string, \
is_base64_image, save_base64_image, get_screen_resolution,create_directory_if_not_exists, delete_directory
# from pytube import YouTube
from selenium.common.exceptions import NoSuchElementException
import os
import sys
from datetime import datetime
from utils.download_image import download_image
from config.settings import get_base_file_url
# --------------- selenium 依赖 start ----------------
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# --------------- selenium 依赖 end ----------------
# 工具函数-下载图片
'''
打开指定网页，并使用 Selenium 模拟点击 "GDPR-accept" 按钮，然后循环点击 "search-show-more-button" 按钮来加载更多数据，直到按钮不再可点击为止。最后，获取完整的分页数据并关闭浏览器驱动。
'''
def reptile(browser=None, search_word=""):
"""
:param browser:
:param search_word:
"""
print(f"搜索词:{search_word}")
base_url = "https://www.dcard.tw"
browser = browser or create(no_headless=False, using_user_data=True)
# 打开网页
browser.get(f"{base_url}/search?query={search_word}")
time.sleep(6)
base_xpath = "//div[@role='main']//div[@data-key]//article"
# 内容块
element_content_list = browser.find_elements('xpath', base_xpath)
# 作者
element_authors_list = browser.find_elements('xpath', f"{base_xpath}/div[1]/div[1]/div[2]/div/div[1]")
# 时间
element_time_list = browser.find_elements('xpath', f"{base_xpath}/div[1]/div[1]/div[2]/div/div[2]/time")
# 标题
element_title_list = browser.find_elements('xpath', f"{base_xpath}//h2")
# 点赞
element_like_list = browser.find_elements('xpath', f"{base_xpath}/div[3]/div[1]/div/div[2]")
# 评论
element_comment_list = browser.find_elements('xpath', f"{base_xpath}/div[3]/div[2]/div/span")
for index,item in enumerate(element_content_list):
# 提取时间,并转为时间戳
timestamp = datetime.fromisoformat(element_time_list[index].get_attribute("datetime")[:-1]).timestamp()
# 过滤时间
# # 如果'releaseTime'不是整数，则将其转换为整数
new_releaseTime = int(timestamp)
if new_releaseTime < beginFiltrationTime or new_releaseTime > endFiltrationTime:
# 如果'new_releaseTime'不在指定范围内，则跳过当前迭代，继续下一个项目
continue
# 提取作者
author = element_authors_list[index].text
# 提取标题
title = element_title_list[index].text
# 提取点赞
like = element_like_list[index].text
# 提取评论
comment = element_comment_list[index].text
# -------------提取内容---------------
element_content_list[index].click()
# 等待弹窗内容出现，设置最长等待时间为10秒
wait = WebDriverWait(browser, 10)
# 通过 expected_conditions 来定义等待条件，这里以弹窗内容的某个元素为例
wait.until(EC.presence_of_element_located((By.XPATH, "//div[@data-testid='overlay']")))
time.sleep(3)
click_dom = browser.find_element("xpath",
"//div[@data-testid='overlay']")
# 处理弹窗内容加载失败的情况
try:
browser.find_element("xpath", "//div[@data-testid='overlay']//h2[text()='發生錯誤']")
error_status = True
except NoSuchElementException:
error_status = False
if error_status:
# click_dom.click()
browser.back()
time.sleep(0.5)
# continue
close_button = browser.find_element("xpath",
"//div[@data-testid='overlay']/div[2]/div[1]/div/div//button[@aria-label='關閉']")
content_element = browser.find_element("xpath", "//div[@data-testid='overlay']//article//div[3]")
soup = BeautifulSoup(content_element.get_attribute("outerHTML"), "html.parser")
# 提取链接
link_str = browser.current_url
# ------------- 处理内容中的视频 start ------------------
video_list = soup.find_all("video")
for key, item in enumerate(video_list):
item['src'] = ""
# ------------- 处理内容中的视频 end ------------------
# ------------- 处理内容中的图片 start ------------------
picture_url = []
image_list = soup.find_all("img")
if len(image_list) > 0:
for key, element in enumerate(image_list):
# 下载图片至本地，替换标签中的src
id = str(int(time.time()))
# 下载地址
download_dir = f'{os.path.join(local_path, f"{id}.jpg")}'
# 访问地址
access_address = f'{get_base_file_url()}{table_name.split("_")[1]}/{local_path_name}/{id}.jpg'
if is_base64_image(element['src']) == False:
log.debug("图片属于 url")
# 下载状态
status = download_image(element['src'], download_dir)
if status:
element['src'] = access_address
picture_url.append(access_address)
else:
log.debug("图片属于 base64")
# 下载base 64
# 下载状态
status = save_base64_image(element['src'], download_dir)
if status:
element['src'] = access_address
picture_url.append(access_address)
else:
print("")
# ------------- 处理内容中的图片 end ------------------
content = soup.prettify()
# ---------------- 判断类型 start ----------
# 类型
content_type = ""
try:
# 查找所有img标签
img_tags = soup.find_all('img')
if len(img_tags) > 0:
content_type = "图文"
else:
content_type = "文字"
except:
content_type = "文字"
# ---------------- 判断类型 end ----------
# --------------- 组装数据 start---------------------
obj = {
"title": title,
"content": content,
"link": link_str,
"reptileTime": str(int(time.time())),
"type": content_type,
"author": author,
"releaseTime": str(int(timestamp)),
"picture_url": ",".join(picture_url)
}
# --------------- 组装数据 end---------------------
data.append(obj)
close_button.click()
# 发送爬取数据到java服务
# print('----------------------')
# print(data)
if len(data) > 0:
# 保存json文件到本地
json_path = os.path.join(local_path, "data.json")
state_save = save_json(json_path, data)
# 保存task
task = {
# 爬取时间
"reptileTime": data[0]["reptileTime"],
# 本地路径
"localPath": local_path,
"beginFiltrationTime": beginFiltrationTime,
"endFiltrationTime": endFiltrationTime,
"keyword": keyword,
"total": len(data)
}
state_save = save_json(os.path.join(file_dir, "task.json"), task)
if state_save:
log.debug('save file success')
else:
log.debug('save file failed')
script_close(browser)
else:
# 爬取数据为空
log.info("未爬取到数据")
# 删除目录
delete_directory(local_path)
script_close(browser)
def script_close(browser):
# 关闭浏览器驱动
try:
browser.close()
browser.quit()
except:
log.debug("浏览器驱动关闭失败")
try:
# 一些代码...
sys.exit()
except SystemExit:
raise # 重新抛出SystemExit异常，让脚本退出
except Exception as e:
# 异常处理代码...
print("sys.exit() 执行失败")
def main():
"""
"""
# 请求关键词
response = getReptileTask()
global status_task
global beginFiltrationTime
global endFiltrationTime
global keyword
if response['status_code'] == 200 and response['data']['code'] == 200:
log.debug("call success")
search_word = ""
for item in response['data']['rows']:
if item['name'] == 'dcard':
search_word = item['keyword']
table_name = item['tableName']
status_task = int(item["status"])
keyword = str(item["keyword"])
beginFiltrationTime = int(item["beginFiltrationTime"])
endFiltrationTime = int(item["endFiltrationTime"])
# 简体转繁体
if status_task == 0 and len(search_word) > 0:
reptile(None, convert_to_traditional(search_word))
else:
log.debug("爬取任务未启用")
else:
log.debug("call failed")
# 请求超时
reptile(None, convert_to_traditional("新闻"))
# upload_control()
# 全局变量
data = []
# 任务详情
task = {}
table_name = "pms_dcard"
# 全局字段
keyword = ""
# 过滤时间开始
beginFiltrationTime = int(123)
# 过滤时间结束
endFiltrationTime = int(123)
# 文件根目录
file_dir = f'{os.path.join(os.path.abspath("../"), "network-assets-reptile", "reptile_data", table_name.split("_")[1])}'
# 任务目录名称
local_path_name = str(int(time.time()))
# 任务目录路径
local_path = f'{os.path.join(file_dir, local_path_name)}'
# 任务目录是否创建
local_path_status = create_directory_if_not_exists(local_path)
# 是否启用
status_task = 0
# 调用main函数
main()