text: import json
  import pandas
  from pandas.io.json import json_normalize
  
  def build_statistic_classifier(team_id):
      # https://api-football-v1.p.mashape.com/statistics/{league_id}/{team_id}
      with open('./data/statistic.json') as f:
          d = json.load(f)
  
          df = json_normalize(d['api']['stats'])
  
          print(df)
          # TODO build classifier
  
  
  def build_h2h_classifier(homeTeamId, awayTeamId):
      with open('./data/fixturesH2H.json') as f:
          d = json.load(f)
          
          df = json_normalize(d['api']['fixtures'])
          
          print(df)
          # TODO build classfier
  
  
  def main():
      # look for games in the upcoming day
      # https://api-football-v1.p.mashape.com/fixtures/date/{tomorrow}
  
      with open('./data/fixturesByNextMatches.json') as f:
          d = json.load(f)
  
      df = pandas.DataFrame.from_dict(d['api']['fixtures'])
  
      # process each game and calculate probability
      # 1. Bundesliga: league 8
      for gameIdx in df:
          game = df[gameIdx]
  
          homeTeamId = game['homeTeam_id']
          build_statistic_classifier(homeTeamId)
  
          awayTeamId = game['awayTeam_id']
          build_h2h_classifier(homeTeamId, awayTeamId)
          
  
  if __name__ == '__main__':
      tf.logging.set_verbosity(tf.logging.INFO)
      tf.app.run(main=main)