def get_weekly_info(context):
query_weekly = "select * from thisWeekSummary"
weekly = query_db(query_weekly, one=True)
context['weekly_info']['top_scorer'] = id_to_name(weekly['topScorerId'])
context['weekly_info']["top_score"] = weekly['maxScore']
context['weekly_info']['avg_score'] = weekly['averageScore']
context['weekly_info']['low_scorer'] = id_to_name(weekly['lowScorerId'])
context['weekly_info']["low_score"] = weekly['minScore']
context['week'] = weekly['week']
if datetime.datetime.now().month < 9:
context['year'] = datetime.datetime.now().year - 1
else:
context['year'] = datetime.datetime.now().year
query_years = "select * from years where year = %d" % context['year']
points = query_db(query_years)
pointsDf = pd.DataFrame.from_dict(points)
max_points = max(pointsDf['pointsFor'])
min_points = min(pointsDf['pointsFor'])
id_max = pointsDf.loc[pointsDf['pointsFor'].idxmax()]['teamId']
id_min = pointsDf.loc[pointsDf['pointsFor'].idxmin()]['teamId']
context['weekly_info']['max_score_team'] = id_to_name(id_max)
context['weekly_info']['max_score'] = max_points
context['weekly_info']['min_score_team'] = id_to_name(id_min)
context['weekly_info']['min_score'] = min_points
return context
def get_basic_info(context, teamId):
query_years = "select * from years where teamId = %d" % teamId
teamHistory = query_db(query_years)
teamHistoryDf = pd.DataFrame.from_dict(teamHistory)
context['totalWins'] = teamHistoryDf['wins'].sum()
context['totalLosses'] = teamHistoryDf['losses'].sum()
context['totalRotWins'] = teamHistoryDf['rotWins'].sum()
context['totalRotLosses'] = teamHistoryDf['rotLosses'].sum()
context['championships'] = len(
teamHistoryDf[teamHistoryDf['finalStanding'] == 1])
context['rotWins'] = teamHistoryDf['rotWins'].sum()
context['rotLosses'] = teamHistoryDf['rotLosses'].sum()
currentYear = teamHistoryDf.loc[teamHistoryDf['year'] == max(
teamHistoryDf['year'])]
context['currentWins'] = int(currentYear.iloc[0]['wins'])
context['currentLosses'] = int(currentYear.iloc[0]['losses'])
context['teamHistory'] = teamHistoryDf.sort_values(by=['year'])
query_years = "select * from years"
league_history = pd.DataFrame.from_dict(query_db(query_years))
league_history_wins = league_history.loc[:, ['teamId', 'wins']]
all_time_wins = league_history_wins.groupby(['teamId']).sum()
all_time_wins.sort_values('wins', ascending=False, inplace=True)
wins_place = list(all_time_wins.index).index(teamId) + 1
if wins_place == 1:
context['allTimeWinsPlace'] = "1st"
elif wins_place == 2:
context['allTimeWinsPlace'] = "2nd"
elif wins_place == 3:
context['allTimeWinsPlace'] = "3rd"
else:
context['allTimeWinsPlace'] = "%dth" % wins_place
def get_reigning_champ(context):
query_champ = "select * from years where year = %d" % (
datetime.datetime.now().year - 1)
champ = query_db(query_champ)
for team in champ:
if team['finalStanding'] == 1:
context['current_champion'] = id_to_name(team['teamId'])
def get_standings(context):
query_teams = "select * from years where year = %d" % context['year']
teams = pd.DataFrame.from_dict(query_db(query_teams))
standings = teams.sort_values(by=['wins', 'pointsFor'], ascending=False)
standings = standings.loc[:, ['teamId', 'wins', 'losses']]
teamNameConversion = lambda x: id_to_name(x)
standings['teamName'] = standings['teamId'].apply(teamNameConversion)
context['standings'] = standings
def get_roto_records(context):
query_years = "select * from years where year = %d" % context['year']
year = query_db(query_years)
year = pd.DataFrame.from_dict(year)
roto = year.sort_values(by=['rotWins'], ascending=False)
roto = roto.loc[:, ['teamId', 'rotWins', 'rotLosses']]
teamNameConversion = lambda x: id_to_name(x)
roto['teamName'] = roto['teamId'].apply(teamNameConversion)
context['roto'] = roto
def get_best_year(context, teamId):
query_years = "select * from years where teamId = %d" % teamId
teamHistory = query_db(query_years)
teamHistoryDf = pd.DataFrame.from_dict(teamHistory)
bestYear = teamHistoryDf.loc[teamHistoryDf['wins'] == max(
teamHistoryDf['wins'])]
context['bestYearWins'] = int(bestYear.iloc[0]['wins'])
context['bestYearLosses'] = int(bestYear.iloc[0]['losses'])
context['bestYearFinalStanding'] = int(bestYear.iloc[0]['finalStanding'])
context['bestYear'] = int(bestYear.iloc[0]['year'])
def get_weekly_extras(context):
query_weekly = "select * from thisWeekSummary"
weekly = query_db(query_weekly, one=True)
week = weekly['week']
context['teamOfWeek'] = teamOfWeek(week)
context['teamOrder'] = [
'QB1', 'RB1', 'RB2', 'WR1', 'WR2', 'Flex', 'TE1', 'D/ST1', 'K1'
]
bench, start, pointDiff = badManager(week)
context['badManBench'] = bench.to_dict()
context['badManStart'] = start.to_dict()
context['badManDiff'] = pointDiff
context['badManManager'] = id_to_name(bench['team'])
def get_historical_rosters(context, teamId):
query_rosters = "select * from historicalRosters where teamId = %d" % teamId
rosters = pd.DataFrame.from_dict(query_db(query_rosters))
rosters = rosters.sort_values(by=['year'], ascending=False)
roster_players = rosters.iloc[:, 2:].set_index(rosters['year']).T
context['roster_players'] = {}
for year in roster_players.columns:
df = pd.DataFrame(columns=['name', 'slot', 'team', 'rank'])
row_count = 0
for i in range(0, len(roster_players[year]), 4):
df.loc[row_count] = [
roster_players[year][i], roster_players[year][i + 1],
roster_players[year][i + 2], roster_players[year][i + 3]
]
row_count += 1
new_index = {'QB': 0, 'RB': 1, 'WR': 2, 'TE': 3, 'K': 4, 'D/ST': 5}
df['pos_order'] = 6
for i in df.index:
if df.loc[i, 'slot'] in new_index:
df.loc[i, 'pos_order'] = new_index[df.loc[i, 'slot']]
sort = df.sort_values(by=['pos_order', 'rank'])
context['roster_players'][year] = sort.T.to_dict()
def createPlayersDf(week):
""" Get all the players on a lineup this week. """
query = "select * from players"
players = query_db(query)
return pd.DataFrame.from_dict(players)