def merge_forecast(forecast_id, iterations, connection):
''' Computes the bucket-wise statistics after all iterations of the
simulation have completed. Subsequently deleting the iteration specific
data stored previously.
This assumes that the previous rows are stored with
ITERATION < iterations
and stores the new rows with ITERATION=iterations
'''
connection.execute('INSERT INTO FORECAST SELECT FORECAST_ID, YEAR, GENDER, \
AGE, LOCATION, SPECIALTY, sum(HeadcountSigma), \
sum(HeadcountSigmaSquare), sum(FTESigma), sum(FTESigmaSquare), \
{0} FROM FORECAST WHERE FORECAST_ID={1} \
GROUP BY YEAR, GENDER, AGE, LOCATION, SPECIALTY' \
.format(iterations, forecast_id))
connection.execute(FORECAST.delete(
(FORECAST.c.FORECAST_ID==forecast_id) &
(FORECAST.c.ITERATION < iterations)))
def write_forecast(rows, connection):
connection.execute(FORECAST.insert(rows))
def clear_forecast_id(forecast_id, connection):
connection.execute(FORECAST.delete().where(
FORECAST.c.FORECAST_ID==forecast_id))
