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How to use get_fixture_results method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

runner.py

Source:runner.py

...277    if setup_suite is None:278        return None279    fixtures_names = suite.get_hook_params("setup_suite")280    def wrapper():281        fixtures = scheduled_fixtures.get_fixture_results(fixtures_names)282        setup_suite(**fixtures)283    return wrapper284def build_suite_initialization_task(suite, scheduled_fixtures, dependencies, force_disabled):285    if not suite.has_enabled_tests() and not force_disabled:286        return None287    setup_teardown_funcs = []288    if not scheduled_fixtures.is_empty():289        setup_teardown_funcs.extend(scheduled_fixtures.get_setup_teardown_pairs())290    if suite.get_injected_fixture_names():291        setup_teardown_funcs.append((292            lambda: suite.inject_fixtures(scheduled_fixtures.get_fixture_results(suite.get_injected_fixture_names())),293            None294        ))295    if suite.has_hook("setup_suite") or suite.has_hook("teardown_suite"):296        setup_teardown_funcs.append([297            wrap_setup_suite(suite, scheduled_fixtures),298            suite.get_hook("teardown_suite")299        ])300    return SuiteInitializationTask(suite, setup_teardown_funcs, dependencies) if setup_teardown_funcs else None301class SuiteEndingTask(BaseTask):302    def __init__(self, suite, dependencies):303        BaseTask.__init__(self)304        self.suite = suite305        self._dependencies = dependencies306    def get_on_success_dependencies(self):...

fpl_csv_converter.py

Source:fpl_csv_converter.py

...80            'position': position81        }82        # Create CurrentSeasonStats Table83        CURR_SEASON_STATS[PLAYER_NAMES[i]] = curr_season_data84def get_fixture_results():85    """86    Use FPL API fixtures endpoint for eventual Result.csv87    88    :return: None89    """90    team_dictionary = {91        1: 'Arsenal', 2: 'Bournemouth', 3: 'Burnley',92        4: 'Chelsea', 5: 'Crystal Palace', 6: 'Everton',93        7: 'Hull City', 8: 'Leicester City', 9: 'Liverpool',94        10: 'Manchester City', 11: 'Manchester United', 12: 'Middlesborough',95        13: 'Southampton', 14: 'Stoke City', 15: 'Sunderland',96        16: 'Swansea City', 17: 'Tottenham Hotspur', 18: 'Watford',97        19: 'West Bromwich Albion', 20: 'West Ham United'98    }99    manager_dictionary = {100        1: 'Arsene Wenger', 2: 'Eddie Howe', 3: 'Sean Dyche', 4: 'Antonio Conte',101        5: 'Alan Pardew', 6: 'Ronald Koeman', 7: 'Mike Phelan', 8: 'Claudio Ranieri',102        9: 'Jurgen Klopp', 10: 'Pep Guardiola', 11: 'Jose Mourinho', 12: 'Aitor Karanka',103        13: 'Claude Puel', 14: 'Mark Hughes', 15: 'David Moyes', 16: 'Bob Bradley',104        17: 'Mauricio Pochettino', 18: 'Walter Mazzarri', 19: 'Tony Pullis', 20: 'Slaven Bilic'105    }106    r = requests.get('https://fantasy.premierleague.com/drf/fixtures')107    fixtures_data = r.json()108    for fixture in fixtures_data:109        home_team = team_dictionary[fixture['team_h']]110        away_team = team_dictionary[fixture['team_a']]111        RESULTS[home_team + ' VS. ' + away_team] = {112            'id': fixture['id'],113            'gameweek': fixture['event'],114            'home_score': fixture['team_h_score'],115            'away_score': fixture['team_a_score'],116            'home_team': home_team,117            'away_team': away_team,118            'home_mgr': manager_dictionary[fixture['team_h']],119            'away_mgr': manager_dictionary[fixture['team_a']]120        }121def get_past_seasons(pid, data, psc):122    """123    Return stats from previous seasons if player is a veteran.124    125    :param pid: Int - Player ID# 126    :param data: Dictionary - JSON127    :param psc: Int - Past Season Count128    :return: Dictionary - JSON129    """130    # Variable declarations for summed past statistic headers131    total_points, minutes, goals_scored, assists, clean_sheets = 0, 0, 0, 0, 0132    goals_conceded, own_goals, penalties_saved, penalties_missed = 0, 0, 0, 0133    yellow_cards, red_cards, saves, ea_index = 0, 0, 0, 0134    # For all previous PL seasons...135    for s in range(psc):136        total_points += data['history_past'][s]['total_points']137        minutes += data['history_past'][s]['minutes']138        goals_scored += data['history_past'][s]['goals_scored']139        assists += data['history_past'][s]['assists']140        clean_sheets += data['history_past'][s]['clean_sheets']141        goals_conceded += data['history_past'][s]['goals_conceded']142        own_goals += data['history_past'][s]['own_goals']143        penalties_saved += data['history_past'][s]['penalties_saved']144        penalties_missed += data['history_past'][s]['penalties_missed']145        yellow_cards += data['history_past'][s]['yellow_cards']146        red_cards += data['history_past'][s]['red_cards']147        saves += data['history_past'][s]['saves']148        ea_index += data['history_past'][s]['ea_index']149    # Create JSON of overall past season stats150    past_season_data = {151        'total_points': total_points,152        'mins_played': minutes,153        'goals_scored': goals_scored,154        'assists': assists,155        'clean_sheets': clean_sheets,156        'goals_conceded': goals_conceded,157        'own_goals': own_goals,158        'penalties_saved': penalties_saved,159        'penalties_missed': penalties_missed,160        'yellow_cards': yellow_cards,161        'red_cards': red_cards,162        'saves': saves,163        'ea_index': ea_index,164        'previous_pl_seasons': psc,165        'Player_pid': pid166    }167    return past_season_data168def get_history():169    """170    Use FPL API element-summary endpoint for eventual TotalPastStats.csv and PlayerResultStats.csv171    172    :return: None173    """174    misses = 0175    player_url = 'https://fantasy.premierleague.com/drf/element-summary/{}'176    for pid in range(1, NUM_PLAYERS + 1):177        player_name = PLAYER_NAMES[pid - 1]178        r = requests.get(player_url.format(pid))179        print('Grabbing ' + player_name)180        # Skip broken URLs181        if r.status_code != 200:182            misses += 1183            print('BROKEN URL @ PLAYER #: ' + str(pid) + '\n')184            print(player_name + ' should be here!\n')185            # More than one miss in a row - end of requests!186            if misses > 1:187                print('Two broken URLs in a row...')188                print('Something is wrong with your connection or the API.\n')189                sys.exit()190            continue191        # Reset 'missing' counter to continue loop through entire API endpoint.192        misses = 0193        player_data = r.json()194        # Number of seasons previously played in the PL195        past_season_count = len(player_data['history_past'])196        # If player has played in PL before...197        if past_season_count > 0:198            # Sum up past season statistics for overall past table199            TOTAL_PAST_STATS[player_name] = get_past_seasons(pid, player_data, past_season_count)200        # Get Player's stats for each game played so far201        games_played = player_data['history']202        for game in games_played:203            # key looks like this: 'Hector Bellerin Fixture 8: {stats}204            key = (player_name + ' Fixture ' + str(game['fixture']))205            PLAYER_RESULTS_STATS[key] = {206                'pmid': game['id'],207                'points': game['total_points'],208                'mins_played': game['minutes'],209                'goals_scored': game['goals_scored'],210                'assists': game['assists'],211                'clean_sheets': game['clean_sheets'],212                'goals_conceded': game['goals_conceded'],213                'own_goals': game['own_goals'],214                'penalties_saved': game['penalties_saved'],215                'penalties_missed': game['penalties_missed'],216                'yellow_cards': game['yellow_cards'],217                'red_cards': game['red_cards'],218                'saves': game['saves'],219                'influence': float(game['influence']),220                'creativity': float(game['creativity']),221                'threat': float(game['threat']),222                'ict_index': float(game['ict_index']),223                'Result_id': game['fixture'],224                'Player_pid': pid225            }226        # Next player...227        pid += 1228def dict_to_csv(json_data, filename, headers, tablename):229    """230    Export dictionary collection to CSV231    232    :param json_data: Dictionary - JSON233    :param filename: String - Name of .csv output234    :param headers: String - CSV column headers235    :param tablename: String - Related database table236    :return: None 237    """238    with open(filename, 'w') as csvfile:239        try:240            writer = csv.DictWriter(csvfile, fieldnames=headers)241            writer.writeheader()242            for i in json_data:243                writer.writerow(json_data[i])244        finally:245            print(tablename, ' written to CSV successfully.')246def sort_csv(csv_filename, sorting_key):247    """248    Use pandas to sort CSVs and delete unsorted arguments in .csv249    ** Author: Adam Obeng **250    - stackoverflow.com/questions/15559812/sorting-by-specific-column-data-using-csv-in-python251    252    :param csv_filename: String - Name of .csv output253    :param sorting_key: String - Refers to CSV column header254    :return: None255    """256    df = pd.read_csv(csv_filename)257    df = df.sort_values(by=sorting_key)258    os.remove(csv_filename)259    df.to_csv(csv_filename, index=False)260# Collection function for relevant exporting functions261# TODO: Implement OrderedDict instead of manually plugging in headers262def export_data():263    """264    Function to call all related export functions.265    266    :return: None267    """268    # Headers for CSV creation functions269    player_table_headers = ['pid', 'name', 'nationality', 'position']270    curr_table_headers = ['total_points', 'mins_played', 'goals_scored', 'assists', 'clean_sheets',271                          'goals_conceded', 'own_goals', 'penalties_saved', 'penalties_missed',272                          'yellow_cards', 'red_cards', 'saves', 'ea_index', 'influence',273                          'creativity', 'threat', 'ict_index', 'Player_pid']274    past_table_headers = ['total_points', 'mins_played', 'goals_scored', 'assists', 'clean_sheets',275                          'goals_conceded', 'own_goals', 'penalties_saved', 'penalties_missed',276                          'yellow_cards', 'red_cards', 'saves', 'ea_index', 'previous_pl_seasons',277                          'Player_pid']278    result_table_headers = ['id', 'gameweek', 'home_score', 'away_score', 'home_team', 'away_team',279                            'home_mgr', 'away_mgr']280    prs_table_headers = ['pid', 'points', 'mins_played', 'goals_scored', 'assists', 'clean_sheets',281                         'goals_conceded', 'own_goals', 'penalties_saved', 'penalties_missed',282                         'yellow_cards', 'red_cards', 'saves', 'influence', 'creativity', 'threat',283                         'ict_index', 'Result_id', 'Player_pid']284    dict_to_csv(PLAYERS, 'Player.csv', player_table_headers, 'PLAYERS')285    dict_to_csv(CURR_SEASON_STATS, 'CurrentSeasonStats.csv', curr_table_headers, 'CURRENT_SEASON_STATS')286    dict_to_csv(TOTAL_PAST_STATS, 'TotalPastStats.csv', past_table_headers, 'TOTAL_PAST_STATS')287    dict_to_csv(RESULTS, 'Result.csv', result_table_headers, 'RESULTS')288    dict_to_csv(PLAYER_RESULTS_STATS, 'PlayerResultStats.csv', prs_table_headers, 'PLAYER_RESULTS_STATS')289    print('...Sorting CSV Files...\n')290    time.sleep(1)291    sort_csv('Player.csv', 'pid')292    print('......\n')293    sort_csv('CurrentSeasonStats.csv', 'Player_pid')294    print('......\n')295    sort_csv('TotalPastStats.csv', 'Player_pid')296    print('......\n')297    sort_csv('Result.csv', 'id')298    print('......\n')299    sort_csv('PlayerResultStats.csv', 'pmid')300    print('DONE!')301if __name__ == '__main__':302    print('...Getting player names and current season stats...\n')303    get_curr_stats()304    print('...Getting players past season stats (if any)...\n')305    get_history()306    print('...Getting scorelines from games played thus far this season...\n')307    get_fixture_results()308    print('...Writing CSV Files...\n')...

scoreboard.py

Source:scoreboard.py

...175        self.owner_id = owner_id        176        self.group = ''177        self.owner = owner178        self.fixtures = []179        self.record = self.get_fixture_results()180        self.recordstr =  self.calc_record()181        self.pts = self.calc_pts()182        self.eliminated = self.is_eliminated()183    def get_fixture_results(self):184        results = {}185        with open('fixtures.json') as f:186            fixtures = json.load(f)187        for game in fixtures['response']:188            rnd = game['league']['round']189            group = ''190            if 'Qualifying' in rnd:191                rnd = 'Qualifying'192            elif 'Group' in rnd:193                group = game['league']['round']194                rnd = 'Group'195            if not results.get(rnd):196                results[rnd] = {'w': 0, 'l': 0, 'd': 0}197            for side, team in game['teams'].items():...

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