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scrapefide.py
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scrapefide.py
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__author__ = "Dani Raznikov"
__email__ = "daniraznikov29@gmail.com"
import csv
import time
import logging
import argparse
import requests
from bs4 import BeautifulSoup
# Mapping between p and dP, taken from FIDE Handbook:
# https://www.fide.com/component/handbook/?id=174&view=article
PERFORMANCE_TABLE = {
1.0: 800, 0.99: 677, 0.98: 589, 0.97: 538, 0.96: 501, 0.95: 470, 0.94: 444,
0.93: 422, 0.92: 401, 0.91: 383, 0.9: 366, 0.89: 351, 0.88: 336, 0.87: 322,
0.86: 309, 0.85: 296, 0.84: 284, 0.83: 273, 0.82: 262, 0.81: 251, 0.8: 240,
0.79: 230, 0.78: 220, 0.77: 211, 0.76: 202, 0.75: 193, 0.74: 184, 0.73: 175,
0.72: 166, 0.71: 158, 0.70: 149, 0.69: 141, 0.68: 133, 0.67: 125, 0.66: 117,
0.65: 110, 0.64: 102, 0.63: 95, 0.62: 87, 0.61: 80, 0.6: 72, 0.59: 65,
0.58: 57, 0.57: 50, 0.56: 43, 0.55: 36, 0.54: 29, 0.53: 21, 0.52: 14, 0.51: 7,
0.5: 0, 0.49: -7, 0.48: -14, 0.47: -21, 0.46: -29, 0.45: -36, 0.44: -43,
0.43: -50, 0.42: -57, 0.41: -65, 0.4: -72, 0.39: -80, 0.38: -87, 0.37: -95,
0.36: -102, 0.35: -110, 0.34: -117, 0.33: -125, 0.32: -133, 0.31: -141,
0.3: -149, 0.29: -158, 0.28: -166, 0.27: -175, 0.26: -184, 0.25: -193,
0.24: -202, 0.23: -211, 0.22: -220, 0.21: -230, 0.2: -240, 0.19: -251,
0.18: -262, 0.17: -273, 0.16: -284, 0.15: -296, 0.14: -309, 0.13: -322,
0.12: -336, 0.11: -351, 0.1: -366, 0.09: -383, 0.08: -401, 0.07: -422,
0.06: -444, 0.05: -470, 0.04: -501, 0.03: -538, 0.02: -589, 0.01: -677, 0: -800
}
TRN_NAME_COLOR = '#CC9966'
TRN_SCORE_COLOR = '#e6e6e6'
NO_RECORDS_STRING = 'No records found in individual calculations for this period.'
csv_fields = ['Rating Period',
'Tournament Name',
'City',
'Country',
'Pts.',
'Rds.',
'Avg. Opponents',
'Rtg. Change',
'Performance']
LOGIN_URL = "https://ratings.fide.com/login_action.php"
CALCULATION_URL = "https://ratings.fide.com/individual_calculations.phtml?" \
"idnumber={id}&rating_period={year}-{month:02d}-01&t=0"
def get_rating_urls(player_id, months=12):
"""Generating a list of URLs for each of the last
rating reports.
:arg player_id: FIDE player ID
:arg months: Number of months to check
:return urls: List of URLs to scrape
"""
urls = []
now = time.localtime()
periods = [time.localtime(time.mktime(
(now.tm_year, now.tm_mon - n, 1, 0, 0, 0, 0, 0, 0)))[:2]
for n in range(months)]
for y, m in periods:
urls.append(CALCULATION_URL.format(id=player_id,
year=y,
month=m))
return urls
def calc_performance(avg, pts, rds):
"""Calcluate performance using FIDE's performance formula.
Perf = AvgRtg + Rating Difference, whose values is defined in the
PerformanceTable values.
:arg avg: Opponents AVG rating
:arg pts: Points Scored
:arg rds: Games played
:return perf: FIDE rating Performance value.
"""
if type(pts) == int:
pts = float(pts)
score = round(pts / rds, 2)
perf = avg + PERFORMANCE_TABLE[score]
return perf
def scrape_rating_reports(urls):
"""Scraping the rating reports from the provided URL list,
Using BeautifulSoup to parse each table.
:arg urls: List of URLs to scrape
:return tournaments: List of dicts that represent tournaments
"""
tournaments = []
for url in urls:
# Perform Login for each page
s = requests.Session()
payload = {'fd_user': 'fidescraper',
'fd_password': 'beautifulsoup'}
login = s.post(LOGIN_URL, data=payload)
resp = s.get(url)
html_doc = resp.content
soup = BeautifulSoup(html_doc, "html.parser")
result = soup.findAll('table', {'class': 'contentpaneopen'})
period = result[0].text.replace(
'\n', '').replace(
'Individual Calculations ', '')[:-1]
if result[1].text.replace('\n', '') == NO_RECORDS_STRING:
print('%s No Records!' % period)
continue
print('Scraping %s...' % period)
# Scrape each table row based on the bgcolor value
# The tournament header and scores have distinct
# background colors
trn_headers = result[1].findAll('tr', {'bgcolor': TRN_NAME_COLOR})
trn_scores = result[1].findAll('tr', {'bgcolor': TRN_SCORE_COLOR})
if len(trn_headers) != len(trn_scores):
raise RuntimeError(
'Size of tournament headers list must be equal to' /
'the size of tournament scores list.')
for i in range(len(trn_headers)):
trn_name, city, country, date = [
x.text.replace(u'\xa0', '') for x in trn_headers[i]]
opp_avg, ply_rtg, pts, rds, chg, kFactor, rating_change, _ = [
x.text.replace(u'\xa0', '') for x in trn_scores[i]]
new_tourn = {'Rating Period': period,
'Tournament Name': trn_name,
'City': city,
'Country': country,
'Pts.': float(pts),
'Rds.': int(rds),
'Avg. Opponents': int(opp_avg),
'Rtg. Change': float(rating_change)}
performance = calc_performance(avg=new_tourn['Avg. Opponents'],
pts=new_tourn['Pts.'],
rds=new_tourn['Rds.'])
new_tourn['Performance'] = performance
tournaments.append(new_tourn)
time.sleep(1)
return tournaments
def write_to_csv(player_id, tournaments):
"""Writes the tournaments list to csv output.
:arg player_id: FIDE player ID
:arg tournaments: List of dicts that represent tournaments
"""
with open('%s.csv' % player_id, 'w') as f:
writer = csv.DictWriter(f, fieldnames=csv_fields)
writer.writeheader()
for trn in tournaments:
writer.writerow(trn)
def configure_arg_parser(parser):
parser.add_argument('--id', '-i',
required=True,
help='FIDE Player ID')
parser.add_argument('--months', '-m',
required=False,
default=12, type=int,
help='How many months to report for')
return parser
def main():
parser = argparse.ArgumentParser()
configure_arg_parser(parser)
args = parser.parse_args()
urls = get_rating_urls(args.id, args.months)
tournaments = scrape_rating_reports(urls)
write_to_csv(args.id, tournaments)
if __name__ == '__main__':
main()