def get_fighter_name_and_details(
fighter_name_and_link: Dict[str, List[str]]) -> Dict[str, List[str]]:
fighter_name_and_details = {}
l = len(fighter_name_and_link)
print('Scraping all fighter data: ')
print_progress(0, l, prefix='Progress:', suffix='Complete')
for index, (fighter_name,
fighter_url) in enumerate(fighter_name_and_link.items()):
another_soup = make_soup(fighter_url)
divs = another_soup.findAll('li', {
'class':
"b-list__box-list-item b-list__box-list-item_type_block"
})
data = []
for i, div in enumerate(divs):
if i == 5:
break
data.append(div.text.replace(' ', '').replace('\n', '').replace('Height:', '').replace('Weight:', '')\
.replace('Reach:', '').replace('STANCE:', '').replace('DOB:', ''))
fighter_name_and_details[fighter_name] = data
print_progress(index + 1, l, prefix='Progress:', suffix='Complete')
return fighter_name_and_details
def get_fighter_name_and_link(
fighter_group_urls: List[str]) -> Dict[str, List[str]]:
fighter_name_and_link = {}
fighter_name = ''
l = len(fighter_group_urls)
print('Scraping all fighter names and links: ')
print_progress(0, l, prefix='Progress:', suffix='Complete')
for index, fighter_group_url in enumerate(fighter_group_urls):
soup = make_soup(fighter_group_url)
table = soup.find('tbody')
names = table.findAll('a', {'class': 'b-link b-link_style_black'},
href=True)
for i, name in enumerate(names):
if (i + 1) % 3 != 0:
if fighter_name == '':
fighter_name = name.text
else:
fighter_name = fighter_name + ' ' + name.text
else:
fighter_name_and_link[fighter_name] = name['href']
fighter_name = ''
print_progress(index + 1, l, prefix='Progress:', suffix='Complete')
return fighter_name_and_link
def get_upcoming_fight_stats(
event_and_fight_links: Dict[str, List[str]]) -> str:
total_stats = ''
l = len(event_and_fight_links)
print('Scraping upcoming fight data: ')
print_progress(0, l, prefix='Progress:', suffix='Complete')
for index, (event, fights) in enumerate(event_and_fight_links.items()):
event_soup = make_soup(event)
event_info = get_event_info(event_soup)
for fight in fights:
try:
fight_soup = make_soup(fight)
fight_details = get_upcoming_fight_details(fight_soup)
except Exception as e:
continue
total_upcoming_info = fight_details + ';' + event_info
if total_stats == '':
total_stats = total_upcoming_info
else:
total_stats = total_stats + '\n' + total_upcoming_info
print_progress(index + 1, l, prefix='Progress:', suffix='Complete')
return total_stats
def get_fighter_name_and_link(
fighter_group_urls: List[str]) -> Dict[str, List[str]]:
fighter_name_and_link = {}
fighter_name = ''
l = len(fighter_group_urls)
print('Scraping all fighter names and links: ')
print_progress(0, l, prefix='Progress:', suffix='Complete')
for index, fighter_group_url in enumerate(fighter_group_urls):
soup = make_soup(fighter_group_url)
table = soup.find('tbody')
names = table.findAll('a', {'class': 'b-link b-link_style_black'},
href=True)
for i, name in enumerate(names):
if (i + 1) % 3 != 0:
if fighter_name == '':
fighter_name = name.text
else:
fighter_name = fighter_name + ' ' + name.text
else:
fighter_name_and_link[fighter_name] = name['href']
fighter_name = ''
print_progress(index + 1, l, prefix='Progress:', suffix='Complete')
pickle_in = open(PAST_FIGHTER_LINKS_PATH.as_posix(), "rb")
past_fighter_links = pickle.load(pickle_in)
new_fighter_links = list(fighter_name_and_link.values())
fighter_links = np.setdiff1d(new_fighter_links, past_fighter_links)
pickle_in.close()
#set event links to the newly scraped list
pickle_out = open(PAST_FIGHTER_LINKS_PATH.as_posix(), "wb")
pickle.dump(new_fighter_links, pickle_out)
pickle_out.close()
fighter_name_and_link = dict(
filter(lambda elem: elem[1] in fighter_links,
fighter_name_and_link.items()))
return fighter_name_and_link
def run(self):
dataframes_ = []
l = len(self.unique_fighters)
print_progress(0, l, prefix='Progress:', suffix='Complete')
for index, fighter in enumerate(self.unique_fighters):
dataframes_.append(self.retrive_odds(fighter))
print_progress(index + 1, l, prefix='Progress:', suffix='Complete')
result = pd.concat(dataframes_)
result[
'duplicates'] = result.Fighter_one + result.Fighter_two + result.Average_Odds_f2 + result.Average_Odds_f1
result['duplicates'] = result['duplicates'].apply(
lambda x: x.replace(" ", "").replace(".", ""))
result['duplicates'] = result['duplicates'].apply(
lambda x: ''.join(sorted(x)))
result.drop_duplicates(subset='duplicates', keep="first", inplace=True)
result.to_csv(self.Fightersfile, index=False)
def get_fight(event_and_fight_links: Dict[str, List[str]]) -> str:
dicts = []
links_dict = {}
l = len(event_and_fight_links)
print('Scraping all fight data: ')
print_progress(0, l, prefix='Progress:', suffix='Complete')
for index, (event, fights) in enumerate(event_and_fight_links.items()):
for fight in fights:
fight_soup = make_soup(fight)
fight_details = get_fighter_name_and_link(fight_soup)
dicts.append(fight_details)
for d in dicts:
for k, v in d.items():
links_dict.setdefault(k, []).append(v)
links_dict[k] = links_dict[k][0]
print(links_dict)
print_progress(index + 1, l, prefix='Progress:', suffix='Complete')
return links_dict
