conn_out.close()
if __name__ == '__main__':
#get arguments
args=parse_args()
input_name=args.db_in
output_name=args.db_out
max_chi2=args.max_chi2
chi2_function_name=args.reference
# create mcpp_observable_ids in new database
create_mcpp_observable_ids(input_name,output_name)
# get array ids
array_ids_dict, style=get_array_ids_and_style(input_name)
# populate vars_lookups, vars_functions, and gauss_constraints with array ids
gauss_constraints=tools.populate_with_array_ids((user.gauss_constraints.get()),style,array_ids_dict)
contour_constraints=tools.populate_with_array_ids((user.contour_constraints.get()),style,array_ids_dict)
# populate contours and add to managers
contours=tools.populate_contours(user.contours.get())
tools.add_contours(contours)
# now add values to the managers
tools.add_gauss_constraints(gauss_constraints)
tools.add_contour_constraints(contour_constraints)
# look for chi2 calculators
if args.reference in user.constraints_sets.constraints.keys():
tools.add_chi2_calculator(args.reference,user.constraints_sets.get(args.reference))
# make selection query
sql_where=''
if args.sql_where is not None:
sql_where='where ' + args.sql_where
select_query='select rowid, * from points {};'.format(sql_where)
# get all possible values
value_dict_list=[vars_lookups,vars_functions,gauss_constraints,contour_constraints,mneu_mg_m12g_m3g_X2_lookups]
array_ids_dict=get_array_ids_dict(values,value_dict_list,style)
# prepare select statement
if not args.reduced_db:
first_two_columns=['rowid','collections_rowid']
else:
first_two_columns=['points_rowid','rowid']
columns=','.join(first_two_columns+[ oid_column_dict[oid] for oid in array_ids_dict.keys()])
sql_where=''
if args.sql_where is not None:
sql_where='where ' + args.sql_where
sql_selection='select {} from points {};'.format(columns,sql_where)
print('the sql query is:\n{}'.format(sql_selection))
# get unique items in the list ordered
vars_lookups=tools.populate_with_array_ids(vars_lookups,style,array_ids_dict)
vars_functions=tools.populate_with_array_ids(vars_functions,style,array_ids_dict)
gauss_constraints=tools.populate_with_array_ids(gauss_constraints,style,array_ids_dict)
contour_constraints=tools.populate_with_array_ids(contour_constraints,style,array_ids_dict)
mneu_mg_m12g_m3g_X2_lookups=tools.populate_with_array_ids(mneu_mg_m12g_m3g_X2_lookups,style,array_ids_dict)
# pupulate mneu_mg_m12g_m3g_X2_lookups with the lookup data
mneu_mg_m12g_m3g_X2_lookups=tools.populate_mneu_mg_m12g_m3g_X2_lookups(mneu_mg_m12g_m3g_X2_lookups)
# populate contours and add to managers
contours=tools.populate_contours(user.contours.get())
tools.add_contours(contours)
# now add values to the managers
tools.add_vars_lookups(vars_lookups)
tools.add_vars_functions(vars_functions)
tools.add_gauss_constraints(gauss_constraints)
tools.add_contour_constraints(contour_constraints)
tools.add_mneu_mg_m12g_m3g_X2_lookups(mneu_mg_m12g_m3g_X2_lookups)
