Соскоб - найти последние 5 очков в каждом матче - в html - PullRequest
0 голосов
/ 19 марта 2020

Мне нужна ваша помощь, чтобы получить последние 5 баллов, я не могу ее получить, пожалуйста, помогите мне. enter image description here enter image description here из импорта селена импорт веб-драйвера pandas как pd из pandas импорт ExcelWriter из openpyxl.workbook время импорта рабочей книги как t import xlsxwriter pd.set_option ( 'display.max_rows', 5, 'display.max_columns', Нет, 'display.width', None) browser = webdriver. Firefox ()

browser.get('https://www.mismarcadores.com/futbol/espana/laliga/resultados/')
print("Current Page Title is : %s" %browser.title)

aux_ids = browser.find_elements_by_css_selector('.event__match.event__match--static.event__match--oneLine')

ids=[]
i = 0 
for  aux in aux_ids:
    if i < 1:
        ids.append( aux.get_attribute('id') )
        i+=1

data=[]
for idt in ids:
    id_clean = idt.split('_')[-1]   
    browser.execute_script("window.open('');")
    browser.switch_to.window(browser.window_handles[1])
    browser.get(f'https://www.mismarcadores.com/partido/{id_clean}/#h2h;overall')
    t.sleep(5)
    p_ids = browser.find_elements_by_css_selector('h2h-wrapper')
    #here the code of the last 5 score of each match

1 Ответ

1 голос
/ 19 марта 2020

Я считаю, что вы можете использовать свой браузер Firefox, но не тестировали его. Я использую chrome, поэтому, если вы хотите использовать chromedriver, проверьте версию своего браузера и загрузите нужную версию, а также добавьте ее в системный путь. Единственный способ такого подхода - открыть окно браузера, пока страница не загрузится (потому что мы ждем, пока javascript сгенерирует данные совпадений). Если вам нужно что-нибудь еще, дайте мне знать. Удачи!

https://chromedriver.chromium.org/downloads

Известные проблемы: иногда он выбрасывает индекс из диапазона при получении данных о совпадениях. Это то, что я смотрю на это, потому что иногда кажется, что xpath на каждой ссылке немного меняется.

from selenium import webdriver
from lxml import html
from lxml.html import HtmlElement


def test():
    # Here we specified the urls to for testing purpose
    urls = ['https://www.mismarcadores.com/partido/noIPZ3Lj/#h2h;overall'
            ]
    # a loop to go over all the urls
    for url in urls:
        # We will print the string and format it with the url we are currently checking, Also we will print the
        # result of the function get_last_5(url) where url is the current url in the for loop.
        print("Scores after this match {u}".format(u=url), get_last_5(url))


def get_last_5(url):
    print("processing {u}, please wait...".format(u=url))
    # here we get a instance of the webdriver
    browser = webdriver.Chrome()
    # now we pass the url we want to get
    browser.get(url)
    # in this variable, we will "store" the html  data as a string. We get it from here because we need to wait for
    # the page to load and execute their javascript code in order to generate the matches data.
    innerHTML = browser.execute_script("return document.body.innerHTML")
    # Now we will assign this to a variable of type HtmlElement
    tree: HtmlElement = html.fromstring(innerHTML)
    # the following variables: first_team,second_team,match_date and rows are obtained via xpath method(). To get the
    # xpath go to chrome browser,open it and load one of the url to check the DOM. Now if you wish to check the xpath
    # of each of this variables (elements in case of html), right click on the element->click inspect->the inspect
    # panel will appear->the clicked element wil appear selected on the inspect panel->right click on it->Copy->Copy
    # Xpath. first_team,second_team and match_date are obtained from the "title" section. Rows are obtained from the
    # table of last matches in the tbody content
    # When using xpath it will return a list of HtmElement because it will try to find all the elements that match our
    # xpath, so that is why we use [0] (to get the first element of the list). This will give use access to a
    # HtmlElement object so now we can access its text attribute.
    first_team = tree.xpath('//*[@id="flashscore"]/div[1]/div[1]/div[2]/div/div/a')[0].text
    print((type(first_team)))
    second_team = tree.xpath('//*[@id="flashscore"]/div[1]/div[3]/div[2]/div/div/a')[0].text
    # [0:8] is used to slice the string because in the title it contains also the time of the match ie.(10.08.2020
    # 13:00) . To use it for comparing each row we need only (10.08.20), so we get from position 0, 8 characters ([0:8])
    match_date = tree.xpath('//*[@id="utime"]')[0].text[0:8]
    # when getting the first element with [0], we get a HtmlElement object( which is the "table" that have all matches
    # data). so we want to get all the children of it, which are all the "rows(elements)" inside it. getchildren()
    # will also return a list of object of type HtmlElement. In this case we are also slicing the list with [:-1]
    # because the last element inside the "table" is the button "Mostar mas partidos", so we want to take that out.
    rows = tree.xpath('//*[@id="tab-h2h-overall"]/div[1]/table/tbody')[0].getchildren()[:-1]
    # we quit the browser since we do not need this anymore, we could do it after assigning innerHtml, but no harm
    # doing it here unless you wish to close it before doing all this assignment of variables.
    browser.quit()
    # this match_position variable will be the position of the match we currently have in the title.
    match_position = None
    # Now we will iterate over the rows and find the match. range(len(rows)) is just to get the count of rows to know
    # until when to stop iterating.
    for i in range(len(rows)):
        # now we use the is_match function with the following parameter: first_team,second team, match_date and the
        # current row which is row[i]. if the function return true we found the match position and we assign (i+1) to
        # the match_position variable. i+1 because we iterate from 0.
        if is_match(first_team, second_team, match_date, rows[i]):
            match_position = i + 1
            # now we stop the for no need to go further when we find it.
            break
    # Since we only want the following 5 matches score, we need to check if we have 5 rows beneath our match. If
    # adding 5 from the match position is less than the number of rows then we can do it, if not we will only get the
    # rows beneath it(maybe 0,1,2,3 or 4 rows)
    if (match_position + 5) < len(rows):
        # Again we are slicing the list, in this case 2 times [match_position:] (take out all the rows before the
        # match position), then from the new list obtained from that we do [:5] which is start from the 0 position
        # and stop on 5 [start:stop]. we use rows=rows beacause when slicing you get a new list so you can not do
        # rows[match_position:][:5] you need to assign it to a variable. I am using same variable but you can assign
        # it to a new one if you wish.
        rows = rows[match_position:][:5]
    else:
        # since we do not have enough rows, just get the rows beneath our position.
        rows = rows[match_position:len(rows)]
    # Now to get the list of scores we are using a list comprehension in here but I will explain it as a for loop.
    # Before that, you need to know that each row(<tr> element in html) has 6 td elements inside it, the number 5 is
    # the score of the match. then inside each "score element" we have a span element and then a strong element,
    # something like
    # <tr>
    # <td></td>
    # <td></td>
    # <td></td>
    # <td></td>
    # <td><span><strong>1:2</strong></span></td>.
    # <td></td>
    # </tr>
    # Now, That been said, since each row is a HtmlElement object , we can go in a for loop as following:
    scores = []
    for row in rows:
        data = row.getchildren()[4].getchildren()[0].text_content()
        # not the best way but we will get al the text content on the element, in this case the span element,
        # if the string has more than 5 characters i.e. "1 : 2" then we will take as if it is i.e. "1 : 2(0 : 1)". So
        # in this case we want to slice it from the 2nd character from right to left and get 5 characters from that
        # position.
        # using a ternary expression here, if the length of the string is equal to 5 then this is our score, 
        # if not then we have to slice it and get the last part, from -6 which is the white space before then 2 (in 
        # our example) to -1 (which is the 1 before the last ')' ).
        score = data if len(data) == 5 else data[-6:-1]
        scores.append(score)
    print("finished processing {u}.".format(u=url))
    # now we return the scores
    return scores


def is_match(t1, t2, match_date, row):
    # from each row we want to compare, t1,t2,match_date (this are obtained from the title) with the rows team1,
    # team2 and date. Each row has 6 element inside it. Please read all the code on get_last_5 before reading this
    # explanation. so the for this row, date is in position 0, team1 in 2, team2 in 3.
    # <td><span>10.03.20</span></td>
    date = row.getchildren()[0].getchildren()[0].text
    # <td><span>TeamName</span></td> (when the team lost) or
    # <td><span><strong>TeamName</strong></span></td> (when the team won)
    team1element = row.getchildren()[2].getchildren()[0]  # this is the span element
    # using a ternary expression (condition_if_true if condition else condition_if_false)
    # https://book.pythontips.com/en/latest/ternary_operators.html
    # if span element have childrens , (getchildren()>0) then the team name is team1element.getchildren()[0].text
    # which is the text of the strong element, if not the jsut get the text from the span element.
    mt1 = team1element.getchildren()[0].text if len(team1element.getchildren()) > 0 else team1element.text
    # repeat the same as team 1
    team2element = row.getchildren()[3].getchildren()[0]
    mt2 = team2element.getchildren()[0].text if len(team2element.getchildren()) > 0 else team2element.text
    # basically we can compare only the date, but jsut to be sure we compare the names also. So, if the dates and the
    # names are the same this is our match row.
    if match_date == date and t1 == mt1 and t2 == mt2:
        # we found it so return true
        return True
    # if not the same then return false
    return False
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