def get_player_standard_stats(self):
'''
Get standard stats for a whole season, it doesn't matter if the player has played in one team or more than one team
:return: A list of dicctionaries with standard stats
'''
if self.params["id"] is not None:
args = [self.params["id"], self.params["id_season"]]
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "player.standard.stats.by.id=")
else:
data = SearchDataFIBA(args, "player.standard.stats.by.id=")
else:
args = [self.params["id_player_team"]]
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args,
"player.standard.stats.by.id_player_team=")
else:
data = SearchDataFIBA(
args, "player.standard.stats.by.id_player_team=")
self.name = self.get_player_name(
data.get_result().getData()[0]["id_player"])
self.name_url = self.get_player_name_url(
data.get_result().getData()[0]["id_player"])
self.season = self.get_season_name(
data.get_result().getData()[0]["id_player"],
self.params["id_season"])
return data.get_result().getData()
def get_points_x_player(self, id_team, competition):
args = [id_team]
if competition == COMPETITIONS.LF1 or competition == COMPETITIONS.LF2:
data = SearchData(args, "player.total.points=")
else:
data = SearchDataFIBA(args, "player.total.points=")
return data.get_result().getData()
def get_abrev(self, id_team, competition):
args = [id_team]
if competition == COMPETITIONS.LF1 or competition.LF2:
data = SearchData(args, "team.abrev=")
else:
data = SearchDataFIBA(args, "team.abrev=")
return data.get_result().getData()[0]["abrev"]
def test_players_from_team(self):
params = {
'report': 5,
"destiny": 770,
"type": "player_acc",
'id': 2063,
'id_player_team': None,
'date': '19/08/2020',
'id_season': 45,
'competition': 'FEB-LF1'
}
args = [params["destiny"]]
if params["competition"] == COMPETITIONS.LF1 or params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "team.players=")
else:
data = SearchDataFIBA(args, "team.players=")
players = data.get_result().getData()
for player in players:
args = {
"type": "player_acc",
"destiny": params["destiny"],
"competition": params["competition"],
"id": None,
"id_player_team": player["id"],
"id_season": params["id_season"],
"date": params["date"]
}
data = DataPlayerAccumulated(args)
pdf = PDFPlayerAccumulated(args, data)
def searchGamesFromGameDay(params):
args = [params["id_jornada"]]
if params["competition"] == COMPETITIONS.LF1 or params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "post.game.by.id.jornada=")
else:
data = SearchDataFIBA(args, "post.game.by.id.jornada=")
return data.get_result().getData()
def get_shots_from_season(competition, id_season):
args = [id_season]
if competition == COMPETITIONS.LF1:
data = SearchData(args, "feb.season.shots=")
else:
if competition == COMPETITIONS.EUROLEAGUE or competition == COMPETITIONS.EUROCUP:
data = SearchDataFIBA(args, "fiba.season.shots=")
return pd.DataFrame(data.get_result().getData())
def searchGamePlayed(params):
args = [params["id_game"]]
if params["competition"] == COMPETITIONS.LF1 or params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "post.game.by.id=")
else:
data = SearchDataFIBA(args, "post.game.by.id=")
return data.get_result().getData()
def get_opp_shots_from_month(self, id_team_club, competition, month, year):
args = [id_team_club, id_team_club, id_team_club, year, month]
if competition == COMPETITIONS.LF1 or competition == COMPETITIONS.LF2:
data = SearchData(args, "opp.shots.by.month=")
else:
data = SearchDataFIBA(args, "opp.shots.by.month=")
self.df = pd.DataFrame(data.get_result().getData())
#We have a new dataframe, so we have to add "position" column and set positions
self.add_column("position")
self.set_positions()
def get_shots_from_team(id_team_club, competition):
'''Returns a dataFrame with the shots made it for all the players of a team in a whole season'''
args = [id_team_club]
data = None
if competition == COMPETITIONS.LF1 or competition == COMPETITIONS.LF2:
data = SearchData(args, "feb.team.shots=")
else:
if competition == COMPETITIONS.EUROLEAGUE or competition == COMPETITIONS.EUROCUP:
data = SearchDataFIBA(args, "fiba.team.shots=")
return pd.DataFrame(data.get_result().getData())
def get_opp_advanced_stats(self, id_team):
'''
This method returns a dictionary with advanced stats from opponents of a team
:param id_team: Team searched
:return: Returns a dictionary
'''
args = [id_team]
if self.params["competition"] == COMPETITIONS.LF1 or self.params["competition"] == COMPETITIONS.LF2:
data = SearchData(args, "opp.advanced.stats=")
else:
data = SearchDataFIBA(args, "opp.advanced.stats=")
return data.get_result().getData()[0]
def get_team_shots(self, id_team):
'''
Devuelve un DataFrame del total de los tiros lanzados por un equipo
:param id_team: Identificador del equipo sobre el que queremos obtener la informacion
:return: DaraFrame
'''
args = [id_team]
if self.competition == COMPETITIONS.LF1 or self.competition == COMPETITIONS.LF2:
data = SearchData(args, "team.shots=")
else:
data = SearchDataFIBA(args, "team.shots=")
return pd.DataFrame(data.get_result().getData())
def get_list_games(self, id_team):
'''
This method returns a DataFrame with the list of games played by a team in a whole season
:param id_team: id of the team
:return: DataFrame
'''
args = [id_team, id_team, id_team, id_team]
if self.params["competition"] == COMPETITIONS.LF1 or self.params["competition"] == COMPETITIONS.LF2:
data = SearchData(args, "team.list.games=")
else:
data = SearchDataFIBA(args, "team.list.games=")
return pd.DataFrame(data.get_result().getData())
def get_team_standard_stats(self, id_team):
'''
This method returns a dictionary with standard stats from a team
:param id_team: Team searched
:return: Returns a dictionary
'''
args = [id_team]
if self.params["competition"] == COMPETITIONS.LF1 or self.params["competition"] == COMPETITIONS.LF2:
data = SearchData(args, "team.standard.stats=")
else:
data = SearchDataFIBA(args, "team.standard.stats=")
return data.get_result().getData()[0]
def get_players(self, id_team):
'''
Devuelve una lista de diccionarios con los datos de las jugadoras del equipo
:param id_team: Identificador del equipo por el que buscamos las jugadoras
:return: list
'''
args = [id_team]
if self.params["competition"] == COMPETITIONS.LF1 or self.params["competition"] == COMPETITIONS.LF2:
data = SearchData(args, "team.players=")
else:
data = SearchDataFIBA(args, "team.players=")
return data.get_result().getData()
def get_abrev(self, id_team, competition):
'''
Devuelve la abreviatra del equipo
:param id_team: Identificador del equipo del que queremos la abreviatura
:param competition: Identificador de la competición en la que juega
:return: Devuelte un string
'''
args = [id_team]
if competition == COMPETITIONS.LF1 or competition.LF2:
data = SearchData(args, "team.abrev=")
else:
data = SearchDataFIBA(args, "team.abrev=")
return data.get_result().getData()[0]["abrev"]
def searchNextGameDay(params):
'''
:param params:
competition: id of competition
:return: list of dictionaries with the data of all games of next gameday
'''
if params["competition"] == COMPETITIONS.LF1:
data = SearchData(None, "feb.lf1.next.gameday=")
if params["competition"] == COMPETITIONS.LF2:
data = SearchData(None, "feb.lf2.next.gameday=")
if params["competition"] == COMPETITIONS.EUROLEAGUE:
data = SearchDataFIBA(None, "fiba.euroleague.next.gameday=")
if params["competition"] == COMPETITIONS.EUROCUP:
data = SearchDataFIBA(None, "fiba.eurocup.next.gameday=")
return data.get_result().getData()
def get_season_name(self, id, id_season):
'''
Method which returns the name of the season where have been played by a player
:param id: id of the player (tbl003_player)
:return: A string with the name of the season
'''
if id is not None:
args = [id, id_season]
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "season.name=")
else:
data = SearchDataFIBA(args, "season.name=")
return data.get_result().getData()[0]["description"]
else:
return None
def get_player_name_url(self, id):
'''
Method which returns the name of a player through it's id
:param id: id of the player (tbl003_player)
:return: A string with the name of the player
'''
if id is not None:
args = [id]
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "player.name=")
else:
data = SearchDataFIBA(args, "player.name=")
return data.get_result().getData()[0]["name_url"]
else:
return None
def searchNextGame(params):
'''
Return a list of dictionaries with the data of next game
:param params: list with values like
:return:
'''
args = [params["team"], params["team"]]
if params["competition"] == COMPETITIONS.LF1:
data = SearchData(args, "feb.lf1.next.game=")
if params["competition"] == COMPETITIONS.LF2:
data = SearchData(args, "feb.lf2.next.game=")
if params["competition"] == COMPETITIONS.EUROLEAGUE:
data = SearchDataFIBA(args, "fiba.euroleague.next.game=")
if params["competition"] == COMPETITIONS.EUROCUP:
data = SearchDataFIBA(args, "fiba.eurocup.next.game=")
return data.get_result().getData()
def get_shots_from_month(self, id_team_club, competition, month, year):
'''
Returns a DataFrame with the shots of a team in a month played
:param id_team_club:
:param competition:
:param month:
:param year:
:return:
'''
args = [id_team_club, year, month]
data = None
if competition == COMPETITIONS.LF1 or competition == COMPETITIONS.LF2:
data = SearchData(args, "team.shots.by.month=")
else:
data = SearchDataFIBA(args, "team.shots.by.month=")
self.df = pd.DataFrame(data.get_result().getData())
#We have a new dataframe, so we have to add "position" column and set positions
self.add_column("position")
self.set_positions()
def create_players_pdf(self, params):
args = [self.params["destiny"]]
if params["competition"] == COMPETITIONS.LF1 or params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "team.players=")
else:
data = SearchDataFIBA(args, "team.players=")
players = data.get_result().getData()
for player in players:
args = {
"type": "player_acc",
"destiny": params["destiny"],
"competition": params["competition"],
"id": None,
"id_player_team": player["id"],
"id_season": params["id_season"],
"date": params["date"]
}
data = DataPlayerAccumulated(args)
pdf = PDFPlayerAccumulated(args, data)
def send_mail(self, subject, txt, fileName):
args = self.params["destiny"]
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "subscriptors.emails=")
else:
data = SearchDataFIBA(args, "subscriptors.emails=")
emails = data.get_result().getData()
for item in emails:
print(f"Enviamos informe a la cuenta: {item['email']}")
params = {
"from": "*****@*****.**",
"to": item["email"],
"subject": subject,
"message": txt,
"fileName": fileName,
"routeFile": f"output/reports/{self.params['destiny']}/"
}
mail = Mail(params)
message = mail.create_message()
service = mail.get_service()
mail.send_message(service, "*****@*****.**", message)
def get_shots(self):
'''
Get all shots made it by a player. It doesn't matter if the player played in one or more teams
:return: A DataFrame
'''
if self.params["id"] is not None:
args = [self.params["id"], self.params["id_season"]]
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
data = SearchData(args, "feb.player.shots.season=")
else:
data = SearchDataFIBA(args, "fiba.player.accumulated=")
else:
if self.params["competition"] == COMPETITIONS.LF1 or self.params[
"competition"] == COMPETITIONS.LF2:
args = [self.params["id_player_team"]]
data = SearchData(args, "feb.player.shots=")
else:
args = [
self.params["id_player_team"], self.params["id_season"]
]
data = SearchDataFIBA(args, "fiba.player.accumulated=")
return pd.DataFrame(data.get_result().getData())