def update_outcomes(self, outcomes):
for index in range(0, len(self.outcomes)):
self.outcomes[index][OutcomeKeys.TOTAL_USERS] = int(
outcomes[index][OutcomeKeys.TOTAL_USERS]
)
self.outcomes[index][OutcomeKeys.TOTAL_POINTS] = int(
outcomes[index][OutcomeKeys.TOTAL_POINTS]
)
if outcomes[index]["top_predictors"] != []:
# Sort by points placed by other users
outcomes[index]["top_predictors"] = sorted(
outcomes[index]["top_predictors"],
key=lambda x: x["points"],
reverse=True,
)
# Get the first elements (most placed)
top_points = outcomes[index]["top_predictors"][0]["points"]
self.outcomes[index][OutcomeKeys.TOP_POINTS] = top_points
self.total_users = (
self.outcomes[0][OutcomeKeys.TOTAL_USERS]
+ self.outcomes[1][OutcomeKeys.TOTAL_USERS]
)
self.total_points = (
self.outcomes[0][OutcomeKeys.TOTAL_POINTS]
+ self.outcomes[1][OutcomeKeys.TOTAL_POINTS]
)
if (
self.total_users > 0
and self.outcomes[0][OutcomeKeys.TOTAL_POINTS] > 0
and self.outcomes[1][OutcomeKeys.TOTAL_POINTS] > 0
):
for index in range(0, len(self.outcomes)):
self.outcomes[index][OutcomeKeys.PERCENTAGE_USERS] = float_round(
(100 * self.outcomes[index][OutcomeKeys.TOTAL_USERS])
/ self.total_users
)
self.outcomes[index][OutcomeKeys.ODDS] = float_round(
self.total_points / self.outcomes[index][OutcomeKeys.TOTAL_POINTS]
)
self.outcomes[index][OutcomeKeys.ODDS_PERCENTAGE] = float_round(
100 / self.outcomes[index][OutcomeKeys.ODDS]
)
self.__clear_outcomes()
def update_outcomes(self, outcomes):
self.outcomes[0]["total_users"] = int(outcomes[0]["total_users"])
self.outcomes[1]["total_users"] = int(outcomes[1]["total_users"])
self.outcomes[0]["total_points"] = int(outcomes[0]["total_points"])
self.outcomes[1]["total_points"] = int(outcomes[1]["total_points"])
self.total_users = (self.outcomes[0]["total_users"] +
self.outcomes[1]["total_users"])
self.total_points = (self.outcomes[0]["total_points"] +
self.outcomes[1]["total_points"])
if (self.total_users > 0 and self.outcomes[0]["total_points"] > 0
and self.outcomes[1]["total_points"] > 0):
for index in range(0, len(self.outcomes)):
self.outcomes[index]["percentage_users"] = float_round(
(100 * self.outcomes[index]["total_users"]) /
self.total_users)
self.outcomes[index]["odds"] = float_round(
self.total_points / self.outcomes[index]["total_points"])
self.outcomes[index]["odds_percentage"] = float_round(
100 / self.outcomes[index]["odds"])
self.__clear_outcomes()
def closing_bet_after(self, timestamp):
return float_round(self.prediction_window_seconds -
self.elapsed(timestamp))
def elapsed(self, timestamp):
return float_round((timestamp - self.created_at).total_seconds())
