import io
import json
import re
import sys
import time
import loguru
# import pymysql.cursors
import requests
from bs4 import BeautifulSoup
import datetime
from api.index import importJson, getReptileTask, importJsonPath
from utils.Logger import log
from utils.index import convert_to_traditional, create_directory_if_not_exists, delete_directory, parse_ltn_time_string
# from requests_toolbelt import *
from utils.createBrowserDriver import create
import opencc
from utils.filse import save_json
import os
from config.settings import get_base_file_url
from utils.download_image import download_image
# --------------- 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 ----------------
'''
爬取台湾PTT论坛的热门帖子，包括帖子的标题、内容【文本、图片、视频】
爬取流程：创建驱动--》打开浏览器--》打开网页--》爬取分类元素--》循环点击--》爬取热门帖子标题--》循环点击--》爬取帖子详情
'''
def reptile(browser=None, search_word=""):
# 示例
# url = "https://search.ltn.com.tw/list?keyword=新闻&start_time=20230730&end_time=20230801&type=all&sort=date"
# 将时间戳转换为datetime对象
begin_dt_object = datetime.datetime.fromtimestamp(beginFiltrationTime)
end_dt_object = datetime.datetime.fromtimestamp(endFiltrationTime)
# 将datetime对象格式化为指定的字符串格式 "20230730"
filter_start_date = begin_dt_object.strftime("%Y%m%d")
filter_end_date = end_dt_object.strftime("%Y%m%d")
# 基础url
url = f"https://search.ltn.com.tw/list?keyword={search_word}&start_time={str(filter_start_date)}&end_time={str(filter_end_date)}&type=all&sort=date&type=all"
browser = browser or create(no_headless=False, using_user_data=True)
# 有头模式执行
# browser = browser or create()
# 打开网页
browser.get(url + "&page=1")
time.sleep(2)
# 获取分页
page_next = True
# page_next = browser.find_elements("xpath", "//div[@data-desc='分頁']/a[@class='p_next']")
page_index = 1
# 循环分页
while page_next:
if page_index > 1:
browser.get(f"{url}&page={page_index}")
time.sleep(0.5)
# 重新获取
try:
page_next = browser.find_elements("xpath", "//div[@data-desc='分頁']/a[@class='p_next']")
except:
# 判断页码收否只有一页
# tag_list = browser.find_elements('xpath', "//div[@class='page-name']//ul/li")
# if len(tag_list) <= 0:
page_next = False
# 滚动底部
browser.execute_script("window.scrollTo(0, document.body.scrollHeight);")
# log.debug("已打开浏览器")
classify_item_list = browser.find_elements('xpath', "//div[@class='page-name']//ul/li")
for index, item_element in enumerate(classify_item_list):
# 使用BeautifulSoup解析HTML
soup = BeautifulSoup(item_element.get_attribute('outerHTML'), 'html.parser')
# 发布时间
element_release = item_element.find_element("xpath", "./div/span")
# 查找所有img标签
image_list = soup.find_all('img')
picture_url = []
img_tag = soup.new_tag("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'
# 下载状态
if "default" in element['src']:
status = False
else:
status = download_image(element['src'], download_dir)
if status:
# element['src'] = access_address
img_tag["src"] = access_address
# 重新组装图片
picture_url.append(download_dir)
else:
error = ""
p = soup.new_tag("p")
p.string = item_element.find_element("xpath", "./div/p").text
div = soup.new_tag("div")
div.append(img_tag)
div.append(p)
html = div.prettify()
date_string = element_release.text
date_format = "%a %b %d %H:%M:%S %Y"
# 将日期字符串转换为datetime对象
date_time = parse_ltn_time_string(date_string)
# print(date_time)
# date_time = datetime.datetime.strptime(, date_format)
# 将datetime对象转换为时间戳（以秒为单位）
try:
release_time = int(date_time)
except:
release_time = int(time.time())
# 过滤时间
if beginFiltrationTime <= release_time <= endFiltrationTime:
# --------------- 组装数据 start---------------------
obj = {
"title": item_element.find_element("xpath", "./div/a[1]").text,
"content": html,
"link": item_element.find_element("xpath", "./div/a[1]").get_attribute("href"),
"reptileTime": str(int(time.time())),
"type": "图文",
"author": "自由时报",
"releaseTime": str(release_time),
"picture_url": ",".join(picture_url)
}
# --------------- 组装数据 end---------------------
data.append(obj)
page_index = page_index + 1
time.sleep(0.1)
# 限制最大20页
if page_index >= 21:
page_next = False
# 退出循环
break
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("no reptile data")
# 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'] == 'ltn-自由时报':
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_ltn"
# 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()