import datetime
import pandas as pd
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options #建議使用谷歌瀏覽器
import time
chrome_options = Options()
chrome_options.add_argument('--headless')
driver = webdriver.Chrome()

# 存儲中英文對應的變量的中文名
word_dict = {"poiBsnm": "流域",
             "poiAddv": "行政區(qū)",
             "rvnm": "河名", 
             "stnm": "站名",
             "tm": "時間", 
             "zl": "水位(米)",
             "ql": "流量(立方米/秒)",
             "wrz": "警戒水位(米)"}
# 空df接收結果
rain_total = pd.DataFrame([])

url = 'http://xxfb.mwr.cn/sq_dxsk.html'
driver.get(url)
time.sleep(5)
infos = driver.find_elements_by_xpath("/html/body//tbody[@id='DataContainer']/tr")
# pd.set_option('display.max_columns', None)#所有列
# pd.set_option('display.max_rows', None)#所有行

# 列表提取
for info in infos:
    poiBsnm = info.find_element_by_xpath("./td[1]").text
    poiAddv = info.find_element_by_xpath("./td[2]").text
    rvnm = info.find_element_by_xpath("./td[3]").text
    stnm = info.find_element_by_xpath("./td[4]").text
    tm = info.find_element_by_xpath("./td[5]").text
    zl = info.find_element_by_xpath("./td[6]").text
    ql = info.find_element_by_xpath("./td[7]").text
    wrz = info.find_element_by_xpath("./td[8]").text
# 組成pandas對象
    rain_data = [[poiBsnm,poiAddv,rvnm,stnm,tm,zl,ql,wrz]]  
    rain_df = pd.DataFrame(data=rain_data,columns=list(word_dict.values()))
    rain_total = pd.concat([rain_total,rain_df])
    print(rain_total)
# 關閉瀏覽器
driver.close()
# 保存數(shù)據(jù)
data_str = datetime.datetime.now().strftime('%Y_%m_%d')
rain_total.to_csv("%s_全國水雨情信息.csv" % (data_str),index=None, encoding="GB18030")