import pandas as pd  
import re
from selenium import webdriver 
from bs4 import BeautifulSoup
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait 
from selenium.webdriver.support import expected_conditions as EC
import time
from zlsrc.util.etl import est_meta,est_html



def f1(driver,num):
    locator=(By.XPATH,"//div[@class='infolist-main']/ul/li//a")
    WebDriverWait(driver,10).until(EC.presence_of_element_located(locator))
    #url=driver.current_url
    cnum=int(re.findall("index_([0-9]{1,}).jhtml",driver.current_url)[0])
    if num!=cnum:
        url=re.sub("[0-9]{1,}(?=\.jhtml)",str(num),driver.current_url)
        val=driver.find_element_by_xpath("//div[@class='infolist-main']/ul/li[1]//a").get_attribute('href')[-15:]
        driver.get(url)

        locator=(By.XPATH,"//div[@class='infolist-main']/ul/li[1]//a[not(contains(@href,'%s'))]"%val)
        WebDriverWait(driver,10).until(EC.presence_of_element_located(locator))

    page=driver.page_source
    soup=BeautifulSoup(page,"html.parser")
    div=soup.find("div",class_="infolist-main")
    ul=div.find("ul")
    lis=ul.find_all("li")
    data=[]
    for li in lis:
        a=li.find("a")
        ggstart_time=a.find("em").text.strip()
        tmp=[a["title"].strip(),ggstart_time,"http://www.ycggzyjy.com"+a["href"]]
        data.append(tmp)
    df=pd.DataFrame(data=data)
    df["info"]=None
    return df 


def f2(driver):

    locator=(By.CLASS_NAME,"TxtCenter")
    WebDriverWait(driver,10).until(EC.presence_of_element_located(locator))
    href=driver.find_element_by_xpath("//div[@class='TxtCenter']").text

    total=re.findall("共.*\/([0-9]{1,})页",href)[0]
    total=int(total)
    driver.quit()
    return total



def f3(driver,url):
    driver.get(url)
    locator=(By.XPATH, "//div[@class='s_content'][string-length()>200]")
    WebDriverWait(driver,20).until(EC.presence_of_all_elements_located(locator))
    before=len(driver.page_source)
    time.sleep(0.5)
    after=len(driver.page_source)
    i=0
    while before!=after:
        before=len(driver.page_source)
        time.sleep(0.1)
        after=len(driver.page_source)
        i+=1
        if i>5:break
    page=driver.page_source
    soup=BeautifulSoup(page,'html.parser')
    div=soup.find('div',class_='s_main')
    return div


data=[

    ["gcjs_zhaobiao_gg","http://www.ycggzyjy.com/gzbgg/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],

    ["gcjs_biangeng_gg","http://www.ycggzyjy.com/gbcgg/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],


    ["gcjs_zhongbiaohx_gg","http://www.ycggzyjy.com/jpbjggs/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],

    ["gcjs_zhongbiao_gg","http://www.ycggzyjy.com/gzbgs/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],


    ["zfcg_zhaobiao_gg","http://www.ycggzyjy.com/zzbgg/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],

    ["zfcg_biangeng_gg","http://www.ycggzyjy.com/zbcgg/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],


    ["zfcg_zhongbiaohx_gg","http://www.ycggzyjy.com/zpbjggs/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],

    ["zfcg_zhongbiao_gg","http://www.ycggzyjy.com/zzbgs/index_1.jhtml",["name","ggstart_time","href","info"],f1,f2],

    ]

def work(conp,**args):
    est_meta(conp,data=data,diqu="河南省永城市",**args)
    est_html(conp,f=f3,**args)


# 修改日期：2019/7/8
if __name__=="__main__":
    work(conp=["postgres","since2015","127.0.0.1","henan","yongcheng"],total=2,num=1,html_total=10,pageloadstrategy='none')


    # for d in data[-2:]:
    #     driver=webdriver.Chrome()
    #     url=d[1]
    #     print(url)
    #     driver.get(url)
    #     df = f2(driver)
    #     print(df)
    #     driver = webdriver.Chrome()
    #     driver.get(url)
    #
    #     df=f1(driver, 1)
    #     print(df.values)
    #     for f in df[2].values:
    #         d = f3(driver, f)
    #         print(d)
    # driver = webdriver.Chrome()
    # df = f3(driver, 'http://www.jzggzy.cn/TPFront/ZtbDetail/ZtbZfDetail.aspx?type=3&InfoID=9c895e88-5d82-44b2-9082-1dbdd6abe672&CategoryNum=069002002004')
    # print(df)