def get_signal_history():
dthour = request.args.get('datetime')
du = DateUtil()
specific_hour_dt = du.parse_time_string(dthour)
predictions = []
coins = generate_coins(specific_hour_dt)
coininfo = CoinInfo()
for coin in coins:
earliest_date = dbconn.get_earliest_date_in_db(coin)
print(coin.name, "earliest date", earliest_date)
one_day_before = specific_hour_dt + timedelta(days=-1)
coin.loadtime = one_day_before.strftime("%Y-%m-%d")
print("checking pred in DB for ", coin, "at", specific_hour_dt)
tsfrom = (specific_hour_dt +
timedelta(hours=-1)).strftime("%Y-%m-%d %H:00:00")
tsto = specific_hour_dt.strftime("%Y-%m-%d %H:00:00")
print(tsfrom, tsto)
pred = dbconn.check_prediction_in_db(coin, tsfrom, tsto)
print("pred:", pred)
if pred is None:
coininfo.do_prepare(coin, specific_hour_dt)
predictions = do_predict(coin, predictions, specific_hour_dt)
else:
predictions.append(pred)
return jsonify({'predictions': predictions})
def update_signal_recalculate():
dthour = request.args.get('datetime')
du = DateUtil()
specific_hour_dt = du.parse_time_string(dthour)
predictions = []
coins = generate_coins(specific_hour_dt)
for coin in coins:
earliest_date = dbconn.get_earliest_date_in_db(coin)
print(coin.name, "earliest date", earliest_date)
one_day_before = specific_hour_dt + timedelta(days=-1)
coin.loadtime = one_day_before.strftime("%Y-%m-%d")
print("checking pred in DB for ", coin, "at", specific_hour_dt)
tsfrom = (specific_hour_dt +
timedelta(hours=-1)).strftime("%Y-%m-%d %H:00:00")
tsto = specific_hour_dt.strftime("%Y-%m-%d %H:00:00")
print(tsfrom, tsto)
do_prepare(coin, specific_hour_dt)
predictions = do_predict(coin, predictions, specific_hour_dt)
return jsonify({'predictions': predictions})
def fill_past_signals():
predictions = []
coins = generate_coins(datetime.now())
coininfo = CoinInfo()
du = DateUtil()
for coin in coins:
earliest_date = dbconn.get_earliest_date_in_db(coin)
print(coin.name, "earliest date", earliest_date)
start_datetime = du.parse_time_string(
du.round_datetime_down(earliest_date))
last_round_hour = du.parse_time_string(du.last_round_hour())
#adding 24 hours to have earlier data in the past for prediction
curr_datetime = start_datetime + timedelta(hours=+24)
while (curr_datetime < last_round_hour):
coin.reset_data_frames()
one_day_before = curr_datetime + timedelta(days=-1)
coin.loadtime = one_day_before.strftime("%Y-%m-%d")
curr_datetime = curr_datetime + timedelta(hours=+1)
print("checking pred in DB for ", coin, "at", curr_datetime)
tsfrom = (curr_datetime +
timedelta(hours=-1)).strftime("%Y-%m-%d %H:00:00")
tsto = curr_datetime.strftime("%Y-%m-%d %H:00:00")
print(tsfrom, tsto)
pred = dbconn.check_prediction_in_db(coin, tsfrom, tsto)
print("pred:", pred)
if pred is None:
coininfo.do_prepare(coin, curr_datetime)
predictions = do_predict(coin, predictions, curr_datetime)
else:
predictions.append(pred)
return jsonify({'predictions': predictions})
def get_signal():
predictions = []
try:
du = DateUtil()
last_round_hour = du.parse_time_string(du.last_round_hour())
coins = generate_coins(last_round_hour)
for coin in coins:
pred = dbconn.check_prediction_in_db_last_hour(coin)
if pred is None:
do_prepare(coin, last_round_hour)
predictions = do_predict(coin, predictions, last_round_hour)
else:
predictions.append(pred)
return jsonify({'predictions': predictions})
except Exception as e:
print("Exception: ", e)
return jsonify({'exception': predictions})