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How to use _get_information method in lisa
Best Python code snippet using lisa_python
tab_scrapper.py
Source:tab_scrapper.py 
...31 except NameError:32 return False33 else:34 return issubclass(dynamic_tab_scrapper, TabScrapper)35 def _get_information(self):36 """Abstract method that all the subclasses have to override."""37 pass38 def get_information(self):39 """Returns the information of the tab using the implementation of the concrete classes."""40 try:41 return self._get_information()42 except(AttributeError, KeyError) as e:43 self._logger.error(f"Error scrapping the tab information: {e}")44class KeyValueTabScrapper(TabScrapper):45 """Class that knows how to handle tabs with a structure of <tr><td class="key"></td><td class="value"></td></tr>."""46 def _get_key(self, key_column):47 """Given the key column it takes and returns the text of the column."""48 return key_column.text.replace(u'\xa0', u' ')49 def _get_value(self, value_column):50 """Given the value column it takes and returns the text of the column."""51 pass52 def _get_information(self):53 """54 Iterates over all the rows in the table, builds a dict with the keys and values columns and, returns the dict.55 """56 info_dict = {}57 table = self._tab.find('table', class_='details')58 for row in table.find_all('tr'):59 row_key, row_value = row.find(class_='key'), row.find(class_='value')60 key_with_emoji, value = self._get_key(row_key), self._get_value(row_value)61 split_key = key_with_emoji.split(" ", 1)62 if len(split_key):63 key = split_key[-1]64 info_dict.update({key: value})65 return info_dict66class ScoresTabScrapper(KeyValueTabScrapper):67 """Class that knows how to scrap the data from the Scores tab."""68 # Rank regex69 rank_re = re.compile(r'.*\(Rank #(\d+)\).*')70 def __init__(self, soup, **kwargs):71 super().__init__(soup, **kwargs)72 self._tab = self._tab_scroller.find("div", class_="tab tab-ranking show")73 def _get_value(self, value_column):74 """Override the super class method. Given the value column it takes and returns the text of the value."""75 return value_column.div.div.text, self.get_bar_value(value_column)76 def get_rank(self):77 """Given the city details soup, knows how to take the rank number."""78 details = self._tab.find("table", class_="details")79 rank, = self.rank_re.match(details.find("td", class_="value").get_text()).groups()80 return rank81 def get_bar_value(self, value_column):82 """Given the city details soup, knows how to take the percentage that the bar is filled."""83 style = value_column.div.find("div", attrs={'class': 'filling'}).attrs.get("style")84 if style and (width := style.split(':', 1)) and len(width):85 return float(width[-1].strip('%')) / 100 if width[-1] else None86class DigitalNomadGuideTabScrapper(KeyValueTabScrapper):87 """Class that knows how to scrap the data from the Digital Nomad Guide tab."""88 def __init__(self, soup, **kwargs):89 super().__init__(soup, **kwargs)90 self._tab = self._tab_scroller.find("div", class_="tab tab-digital-nomad-guide")91 def _get_value(self, value_column):92 url = a.attrs.get('href') if (a := value_column.find('a')) else None93 return value_column.text, None, url94 def get_continent(self):95 """Given the city details soup, knows how to take the rank number."""96 return self._tab.find("table", class_="details").find("td", class_="value").get_text()97class CostOfLivingTabScrapper(KeyValueTabScrapper):98 """Class that knows how to scrap the data from the Cost of Living tab."""99 def __init__(self, soup, **kwargs):100 super().__init__(soup, **kwargs)101 self._tab = self._tab_scroller.find("div", class_="tab editable tab-cost-of-living double-width")102 def _get_value(self, value_column):103 # The variable "a" is assigned in the if statement104 url = a.attrs.get('href') if (a := value_column.find('a')) else None105 return value_column.text, None, url106class ProsAndConsTabScrapper(TabScrapper):107 """Class that knows how to scrap the data from the Pros and Cons tab."""108 def __init__(self, soup, **kwargs):109 super().__init__(soup, **kwargs)110 self._tab = self._tab_scroller.find("div", class_="tab tab-pros-cons")111 self._keys_dict = {0: 'pros', 1: 'cons'}112 def _get_information(self):113 """114 Iterates over both divs pros and cons, builds an array with all the pros and all the cons, and returns a dict115 with the type {pros: [...pros], cons: [...cons]}.116 """117 pros_cons = []118 pros_cons_dict = {}119 for i, div in enumerate(self._tab.find_all("div")):120 for p in div.find_all("p"):121 pro_con = p.get_text(strip=True)122 pros_cons.append(pro_con)123 pros_cons_dict.update({self._keys_dict[i]: pros_cons})124 pros_cons = []125 return pros_cons_dict126class ReviewsTabScrapper(TabScrapper):127 """Class that knows how to scrap the data from the Reviews tab."""128 def __init__(self, soup, **kwargs):129 super().__init__(soup, **kwargs)130 self._tab = self._tab_scroller.find("div", class_="tab tab-reviews")131 def _get_review(self, element):132 return element.find("div", class_="review-text").text133 def _get_published_date(self, element):134 return element.find("meta", attrs={'itemprop': 'datePublished'}).attrs.get('content')135 def _get_information(self):136 """Takes all the reviews in the tab, and returns an array with all of them."""137 reviews = self._tab.find_all("div", class_="review", attrs={'itemprop': 'review'})138 return [(self._get_review(elem), self._get_published_date(elem)) for elem in reviews]139class WeatherTabScrapper(TabScrapper):140 """Class that knows how to scrap the data from the Weather tab."""141 def __init__(self, soup, **kwargs):142 super().__init__(soup, **kwargs)143 self._tab = self._tab_scroller.find("div", class_="tab tab-weather")144 self.climate_table = self._tab.find("table", class_="climate")145 self._value_getters_by_key = {**dict.fromkeys(['Feels', 'Real'], self._get_temperature),146 **dict.fromkeys(['Humidity', 'Rain', 'Cloud', 'Air quality', 'Sun'],147 self._get_weather_indexes)}148 def _get_information(self):149 """Takes all the value from the weather matrix, and builds a dict with tuples for each weather attribute.150 Then, returns the dict."""151 weather_dict = {}152 table_body = self.climate_table153 rows = table_body.find_all('tr')154 months = [col.get_text() for col in rows[0].find_all('td')[1:]]155 for row in rows[1:]:156 cols = row.find_all('td')157 key = cols[0].get_text()158 value_getter = self._value_getters_by_key.get(key, self._get_remote_workers)159 weather_dict.update({key: [(months[i],) + value_getter(col) for i, col in enumerate(cols[1:])]})160 return weather_dict161 def _get_temperature(self, col):162 metric, desc = col.find("span", class_="metric"), col.find("span", class_="")163 return tuple([value.get_text(strip=True) for value in [metric, desc]])164 def _get_weather_indexes(self, col):165 if contents := col.span.contents:166 return contents[2] if len(contents) > 2 else None, contents[0]167 return None, None168 def _get_remote_workers(self, col):169 return col.span.get_text(strip=False), None170class PhotosTabScrapper(TabScrapper):171 """Class that knows how to scrap data from the Photos tab."""172 def __init__(self, soup, **kwargs):173 super().__init__(soup, **kwargs)174 self._tab = self._tab_scroller.find("div", class_="tab tab-photos")175 def _get_information(self):176 """Takes all the pictures from the tab, and returns an array with all of them."""177 return [photo.attrs["data-src"] for photo in self._tab.find_all("img", class_="lazyload")]178class CityGridTabScrapper(TabScrapper):179 """Class that knows how to handle tabs with a grid of cities.."""180 def _get_text(self, city):181 return city.find("div", class_="text").h3.a.text.replace(LATIN1_NON_BREAKING_SPACE, u' ')182 def _get_information(self):183 """Takes all the names of the cities in the grid. Returns an array with all the names."""184 grid = self._tab.find("div", class_="details grid show")185 cities = grid.find_all("li", attrs={'data-type': 'city'})186 return [self._get_text(city) for city in cities]187class NearTabScrapper(CityGridTabScrapper):188 """Class that knows how to scrap data from the Near tab."""189 def __init__(self, soup, **kwargs):190 super().__init__(soup, **kwargs)191 self._tab = self._tab_scroller.find("div", class_="tab tab-near")192class NextTabScrapper(CityGridTabScrapper):193 """Class that knows how to scrap data from the Next tab."""194 def __init__(self, soup, **kwargs):195 super().__init__(soup, **kwargs)196 self._tab = self._tab_scroller.find("div", class_="tab tab-next")...
parsertest.py
Source:parsertest.py
...34 self.assert_ (video, "The URL {0} tested was invalid".format (url))35 video.getVideoInformation ()36 def test_youtube_parser (self):37 url = test_dict["youtube"]38 self._get_information(url)39 40 def test_pornotube_parser (self):41 url = test_dict["pornotube"]42 self._get_information(url)43 def test_redtube_parser (self):44 url = test_dict["redtube"]45 self._get_information(url)46 def test_veoh_parser (self):47 url = test_dict["veoh"]48 self._get_information(url)49 def test_veoh_portal_parser (self):50 url = test_dict["veoh_portal"]51 self._get_information(url)52 def test_youporn_parser (self):53 url = test_dict["youporn"]54 self._get_information(url)55 def test_google_video_parser (self):56 url = test_dict["google_video"]57 self._get_information(url)58 def test_metacafe_parser (self):59 url = test_dict["metacafe"]60 self._get_information(url)61 def test_pornhub_parser (self):62 url = test_dict["pornhub"]63 self._get_information(url)64 def test_tube8_parser (self):65 url = test_dict["tube8"]66 self._get_information(url)67 def test_myvideo_parser (self):68 url = test_dict["myvideo"]69 self._get_information(url)70 def test_myspacetv_parser (self):71 url = test_dict["myspacetv"]72 self._get_information(url)73 def test_guba_parser (self):74 url = test_dict["guba"]75 self._get_information(url)76 def test_dailymotion_parser (self):77 url = test_dict["dailymotion"]78 self._get_information(url)79 def test_giantbomb_parser (self):80 url = test_dict["giantbomb"]81 self._get_information(url)82 def test_screwattack_parser (self):83 url = test_dict["screwattack"]84 self._get_information(url)85 def test_gametrailers_parser (self):86 url = test_dict["gametrailers"]87 self._get_information(url)88 def test_escapistmagazine_parser (self):89 url = test_dict["escapistmagazine"]90 self._get_information(url)91 def test_yahoovideo_parser (self):92 url = test_dict["yahoovideo"]93 self._get_information(url)94 def test_padding (self):95 """Test that proper padding is done in the VideoItem.buildCommandList method"""96 youtube_video = parser_manager.validateURL (test_dict["youtube"])97 youtube_video.title = "Tester"98 youtube_video.setFilePaths (".")99 #youtube_video.setOutputRes (youtube_video.RES_640)100 # Testing against http://www.youtube.com/watch?v=_leYvPpmJGg specs101 command_list = youtube_video.buildCommandList (96, 384, 320, 180)102 padtop = padbottom = None103 for i, value in enumerate (command_list):104 if value == "-padtop": padtop = command_list[i+1]105 elif value == "-padbottom": padbottom = command_list[i+1]106 self.assertEqual (padtop, "30")107 self.assertEqual (padbottom, "30")...
parser.py
Source:parser.py
...33 parsed = BeautifulSoup(html, 'html.parser')34 result = parsed.find(string=re.compile(r'(does\snot\sexist.)'))35 return not bool(result)36 @staticmethod37 def _get_information(result):38 """ Recupera a informação padrão do HTML. """39 if result:40 return result.find_next('td').text.strip()41 def extract_value(self, html, value):42 """ Recupera o valor do HTML. """43 result = html.find('td', string=value)44 return self._get_information(result)45 def extract_last_login(self, html, value):46 """ Recupera o valor do HTML. """47 result = html.find('td', string=value)48 return normalize_text(self._get_information(result))49 def extract_account_status(self, html):50 """ Recupera o valor do HTML. """51 result = html.find('td', string=re.compile(self.ACCOUNT_STATUS_REGEX))52 return self._get_information(result)53 @staticmethod54 def extract_deaths(html):55 """ Recupera a informação """56 text = html.find('b', string='Character Deaths')57 result = []58 if text:59 rows = text.find_all_next('tr')60 for item in rows:61 if item.text == 'Account Information':62 break63 # Recupera o 1o. TD dentro da TR64 timestamp = normalize_text(item.select_one('td:nth-of-type(1)').text.strip())65 # Recupera o 2o. TD dentro da TR66 description = normalize_text(item.select_one('td:nth-of-type(2)').text.strip())...
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