nba-playoffs-game-updater.py 12 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316
  1. #!/usr/bin/env python3
  2. import gspread
  3. import random
  4. from oauth2client.service_account import ServiceAccountCredentials
  5. import datetime
  6. import time
  7. from nba_api.stats.static import players
  8. from nba_api.stats.endpoints import playergamelog
  9. import urllib
  10. try:
  11. from nba_api.library.debug.debug import DEBUG_STORAGE
  12. except ImportError:
  13. DEBUG_STORAGE = False
  14. spreadsheet_key = '1fmyoRvyaCflU2YeUD2YnuOthy76fDolBrtYxQF5Io20' # 2025 Test
  15. #spreadsheet_key = '1ip3IFpvE2v9dOijwDeYp0EjzlFLfqFqfx4m8-nzJaoA' # 2025 Official
  16. json_keyfile = 'NBA Playoffs Game-1f9a46f0715c.json'
  17. day = 'today' # today
  18. day = datetime.date(2025, 4, 16) # set date manually
  19. nba_cooldown = random.gammavariate(alpha=9, beta=0.4) # don't hammer the NBA.com API
  20. stats=['PTS', 'REB', 'AST', 'STL', 'BLK', 'TOV', 'WL'] # stats appear in this order
  21. STATS_HEADERS = {
  22. 'Host': 'stats.nba.com',
  23. 'Connection': 'keep-alive',
  24. 'Cache-Control': 'max-age=0',
  25. 'Upgrade-Insecure-Requests': '1',
  26. 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36',
  27. 'Accept': 'application/json, text/plain, */*',
  28. 'Accept-Encoding': 'gzip, deflate, br',
  29. 'Accept-Language': 'en-US,en;q=0.9',
  30. 'Referer': 'https://www.nba.com/',
  31. 'Origin': 'https://www.nba.com',
  32. }
  33. # Proxy URLs
  34. #proxy_url="https://raw.githubusercontent.com/clarketm/proxy-list/master/proxy-list-raw.txt"
  35. proxy_url="https://raw.githubusercontent.com/TheSpeedX/PROXY-List/refs/heads/master/http.txt"
  36. # Manual list of proxies
  37. proxies = []
  38. def buildProxyList(proxies=[], raw_text_url=proxy_url):
  39. good_proxy_list = []
  40. proxy_list = []
  41. r = urllib.request.urlopen(raw_text_url)
  42. for line in r:
  43. line = line.decode("utf-8")
  44. line = line.strip()
  45. proxy_list.append(line)
  46. random.shuffle(proxy_list)
  47. proxy_list = proxies + proxy_list
  48. return proxy_list, good_proxy_list
  49. """
  50. Returns a worksheet instance
  51. """
  52. def getWorksheet(spreadsheet_key, json_keyfile):
  53. try:
  54. scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive']
  55. credentials = ServiceAccountCredentials.from_json_keyfile_name(json_keyfile, scope)
  56. gc = gspread.service_account(filename=json_keyfile)
  57. return gc.open_by_key(spreadsheet_key).worksheet("Picks")
  58. # gc = gspread.authorize(credentials)
  59. # spreadsheet = gc.open_by_key(spreadsheet_key)
  60. # worksheet = spreadsheet.worksheet("Picks")
  61. # return worksheet
  62. except Exception as e:
  63. print(f"Exception: {str(e)}")
  64. print("Could not retrieve worksheet!")
  65. print("Check your API key, credentials, or network!")
  66. raise(e)
  67. """
  68. Returns a list of lists containing the values of all cells in the worksheet by row
  69. """
  70. def getAllValues(worksheet):
  71. return worksheet.get_all_values()
  72. """
  73. Create various date variables based on "today's" day
  74. """
  75. def setDates(day):
  76. if day == 'today':
  77. # in case games go past midnight
  78. date = datetime.datetime.now() - datetime.timedelta(hours=3)
  79. date = date.date()
  80. else:
  81. date = day
  82. url_date = date.strftime('%m/%d/%Y')
  83. year = date.year
  84. season = f"{format(str(year - 1))}-{str(year)[2:]}"
  85. return url_date, season, date
  86. """
  87. Determines the number of players in the pool
  88. """
  89. def getNumberOfParticipants(all_values):
  90. count=0
  91. for row_num, row in enumerate(all_values):
  92. if row[0] != "" and row_num >= 3 and count == 0:
  93. start=row_num
  94. count+=1
  95. elif row[0] != "" and row_num >= 3 and count == 1:
  96. end=row_num
  97. break
  98. num_participants = end - start
  99. return num_participants
  100. """
  101. Determines the active day's first and last rows
  102. """
  103. def getFirstRowLastRow(all_values, num_participants, current_date):
  104. first_row = None
  105. last_row = None
  106. for row_num, row in enumerate(all_values, start=1):
  107. date=row[0]
  108. if date != "" and row_num >= 4:
  109. day = datetime.datetime.strptime('{} {}'.format(
  110. date,
  111. str(current_date.year)),
  112. '%A, %B %d %Y'
  113. )
  114. if day.date() == current_date:
  115. first_row = row_num
  116. last_row = first_row + num_participants - 1
  117. break
  118. return first_row, last_row
  119. """
  120. Rudimentary way to reduce player name errors
  121. """
  122. def cleanFirstNameLastName(player):
  123. first_name_last_name = player.split()
  124. first_name = first_name_last_name[0]
  125. first_name = first_name.replace('.', '')
  126. # New nickname for T.J. Warren should be "The Outlier"
  127. if first_name == "TJ":
  128. first_name = "T.J."
  129. elif first_name == "Donavan":
  130. first_name = "Donovan"
  131. elif first_name == "Domantis":
  132. first_name = "Domantas"
  133. last_name = first_name_last_name[1]
  134. player_clean = first_name + ' ' + last_name
  135. return player_clean
  136. """
  137. Create a unique list of players that have been selected today
  138. Also, append misspelled players to batch_update_list to autofix on next push if we can
  139. """
  140. def cleanPlayers(all_values, first_row, last_row, batch_update_list):
  141. players_unique = []
  142. for row_num, row in enumerate(all_values, start=1):
  143. if first_row <= row_num <= last_row:
  144. player = row[2]
  145. if player[-7:] != "-FIX!!!" and player != "":
  146. if len(players.find_players_by_full_name(player)) > 0:
  147. players_unique.append(player)
  148. else:
  149. player_clean = cleanFirstNameLastName(player)
  150. if len(players.find_players_by_full_name(player_clean)) > 0:
  151. all_values[row_num - 1][2] = player_clean
  152. batch_update_list.append({'range': f'{indexToLetter(2)}{row_num}', 'values': [[player_clean]]})
  153. players_unique.append(player_clean)
  154. else:
  155. print(f"Player: {player} not found, please fix name!")
  156. players_unique = list(dict.fromkeys(players_unique))
  157. return players_unique, batch_update_list, all_values
  158. """
  159. Pull player's gamelog from stats.nba.com based on the url_date and player_id
  160. """
  161. #@timeout_decorator.timeout(30)
  162. def getStats(players_unique, url_date, season, proxy_list=[], good_proxy_list=[]):
  163. stats_dict = {}
  164. for player in players_unique:
  165. player_info = players.find_players_by_full_name(player)
  166. player_id = player_info[0].get('id')
  167. print(f'Retrieving stats for: {player}')
  168. while True:
  169. # Move working proxies to the front of the list
  170. if len(good_proxy_list) > 0:
  171. proxy_list = good_proxy_list + proxy_list
  172. # Remove duplicate proxies
  173. proxy_list = list(dict.fromkeys(proxy_list))
  174. # Use the first proxy in the list
  175. request_proxy = proxy_list[0]
  176. try:
  177. print(f'Proxy: http://{request_proxy}')
  178. player_game_log = playergamelog.PlayerGameLog(
  179. player_id=player_id,
  180. proxy='http://' + request_proxy,
  181. season=season,
  182. timeout=10,
  183. league_id_nullable='00',
  184. season_type_all_star='Playoffs',
  185. date_from_nullable=url_date,
  186. date_to_nullable=url_date,
  187. )
  188. print('Success!')
  189. if request_proxy not in good_proxy_list:
  190. good_proxy_list.append(request_proxy)
  191. player_game_log_dict = player_game_log.get_dict()
  192. if DEBUG_STORAGE is False:
  193. time.sleep(nba_cooldown)
  194. break
  195. except OSError as e:
  196. print(e)
  197. if request_proxy in good_proxy_list:
  198. good_proxy_list.remove(request_proxy)
  199. else:
  200. print(f'Proxy refused, removing {request_proxy}')
  201. proxy_list.remove(request_proxy)
  202. continue
  203. except Exception as e:
  204. print(e)
  205. print('Could not connect to the NBA API, sleeping for 30 seconds')
  206. time.sleep(30)
  207. player_game_log_results = player_game_log_dict.get('resultSets')[0]
  208. player_game_log_headers = player_game_log_results.get('headers')
  209. # if player has no stats for this day, list will be empty
  210. if len(player_game_log_results.get('rowSet')) < 1:
  211. player_stats_dict = None
  212. else:
  213. player_game_log_stats = player_game_log_results.get('rowSet')[0]
  214. player_stats_dict = dict(zip(player_game_log_headers, player_game_log_stats))
  215. stats_dict[player] = player_stats_dict
  216. return stats_dict, good_proxy_list
  217. """
  218. Append stat cells that have changes to batch_update_list
  219. Also append player cells that need fixing to batch_update_list
  220. """
  221. def cellsToUpdate(all_values, first_row, last_row, stats_dict, stats, batch_update_list):
  222. for row_num, row in enumerate(all_values, start=1):
  223. if first_row <= row_num <= last_row:
  224. player_name = row[2]
  225. if player_name[-7:] != "-FIX!!!" and player_name in stats_dict.keys():
  226. if stats_dict[player_name] is not None:
  227. player_stats = stats_dict[player_name]
  228. if player_stats == "Fix!":
  229. batch_update_list.append({'range': f'{indexToLetter(2)}{row_num}', 'values': [[f'{player_name}-FIX!!!']]})
  230. continue
  231. for col_num, stat in enumerate(stats, start=3):
  232. pass
  233. #print(player_name, player_stats[stat])
  234. #print(player_name, f'{indexToLetter(col_num)}{row_num}', str(row[col_num]), f',', player_stats[stat])
  235. if str(player_stats[stat]) != str(row[col_num]) and player_stats[stat] is not None:
  236. #print('Update:', row_num, col_num, player_name, f'{indexToLetter(col_num)}{row_num}', str(row[col_num]), player_stats[stat])
  237. batch_update_list.append({'range': f'{indexToLetter(col_num)}{row_num}', 'values': [[f'{player_stats[stat]}']]}.copy())
  238. return batch_update_list
  239. """
  240. Convert zero-indexed column number to the appropriate column letter (A=0, B=1, C=2...)
  241. """
  242. def indexToLetter(index):
  243. return chr(ord('@')+int(index)+1)
  244. """
  245. Push changes to Google Sheet
  246. """
  247. def batchUpdate(batch_update_list):
  248. if len(batch_update_list) > 1:
  249. worksheet.batch_update(batch_update_list, value_input_option="USER_ENTERED")
  250. else:
  251. print('No update needed, sleeping for 1 minute')
  252. time.sleep(60)
  253. if __name__ == "__main__":
  254. # Use a combination of our good proxies with some fetched from the internet for variation
  255. proxy_list, good_proxy_list = buildProxyList(proxies=proxies, raw_text_url=proxy_url)
  256. while True:
  257. try:
  258. batch_update_list = []
  259. worksheet = getWorksheet(spreadsheet_key, json_keyfile)
  260. url_date, season, date = setDates(day)
  261. print("Date: " + str(date))
  262. all_values = getAllValues(worksheet)
  263. num_participants = getNumberOfParticipants(all_values)
  264. first_row, last_row = getFirstRowLastRow(all_values, num_participants, date)
  265. if first_row is None:
  266. print("No games today! Pausing for 1000 seconds...")
  267. time.sleep(1000)
  268. continue
  269. players_unique, batch_update_list, all_values = cleanPlayers(all_values, first_row, last_row, batch_update_list)
  270. stats_dict, good_proxy_list = getStats(players_unique, url_date, season, proxy_list=proxy_list, good_proxy_list=good_proxy_list)
  271. batch_update_list = cellsToUpdate(all_values, first_row, last_row, stats_dict, stats, batch_update_list)
  272. if len(batch_update_list) > 1:
  273. print(batch_update_list)
  274. batchUpdate(batch_update_list)
  275. except Exception as e:
  276. print(e)
  277. print('Sleeping for 10 seconds')
  278. time.sleep(10)
  279. continue