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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 < filter_time_start or new_releaseTime > filter_time_end:
# 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
}
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 filter_time_start
global filter_time_end
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"])
filter_time_start = int(item["beginFiltrationTime"])
filter_time_end = 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"
# 过滤时间开始
filter_time_start = int(123)
# 过滤时间结束
filter_time_end = 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()