# Transform the data
data = input_data.filter_data(table)
data = input_data.merge_data(data)
+ data.sort_index(inplace=True)
suites = input_data.filter_data(table, data_set="suites")
suites = input_data.merge_data(suites)
val = tmpl_item[int(args[0])]
tbl_item.append({"data": val})
elif cmd == "data":
- job = args[0]
- operation = args[1]
+ jobs = args[0:-1]
+ operation = args[-1]
data_lst = list()
- for build in data[job]:
- try:
- data_lst.append(float(build[tmpl_item[0]]["throughput"]
- ["value"]))
- except (KeyError, TypeError):
- # No data, ignore
- continue
+ for job in jobs:
+ for build in data[job]:
+ try:
+ data_lst.append(float(build[tmpl_item[0]]
+ ["throughput"]["value"]))
+ except (KeyError, TypeError):
+ # No data, ignore
+ continue
if data_lst:
tbl_item.append({"data": (eval(operation)(data_lst)) /
1000000})