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| author |   Viliam Luc <vluc@cisco.com> | 2022-01-19 15:29:23 +0100 |
|---|---|---|
| committer | Viliam Luc <vluc@cisco.com> | 2022-01-19 16:20:38 +0100 |
| commit | 3a443e358985f9d90e0ce1a5e9295a28349f26de (patch) | |
| tree | becb492218e6177e2caab951cfb469e5d5e18d89 | |
| parent | 9744be3170135285c6d7017134e5ae70e75d9afb (diff) | |
trending: fix empty regressions and progressions
Signed-off-by: Viliam Luc <vluc@cisco.com>
Change-Id: I1405c5d1dbf9e137afbc5fd5d9f83ea572613ea9
| -rw-r--r-- | resources/tools/presentation/generator_cpta.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/resources/tools/presentation/generator_cpta.py b/resources/tools/presentation/generator_cpta.py index fafa8638a4..b4ff42e4e4 100644 --- a/resources/tools/presentation/generator_cpta.py +++ b/resources/tools/presentation/generator_cpta.py @@ -883,8 +883,8 @@ def _generate_all_charts(spec, input_data): if tb in file and u"performance-trending-dashboard" in \ file and u"txt" in file: file_to_read = f"{spec.cpta[u'output-file']}/{file}" - with open(f"{file_to_read}", u"rt") as input: - data = data + input.readlines() + with open(f"{file_to_read}", u"rt") as f_in: + data = data + f_in.readlines() for test_name, classification in job_data.items(): if classification != u"normal": @@ -896,7 +896,7 @@ def _generate_all_charts(spec, input_data): test_name = test_name.split("-", 1) tst = test_name[1].split(".")[-1] nic = test_name[0].split(".")[-1] - frmsize = tst.split("-")[0].upper() + frmsize = tst.split("-")[0] tst = u"-".join(tst.split("-")[1:]) tst_name = f"{nic}-{frmsize}-{tst}" if len(tst) > max_len.tst: @@ -943,7 +943,7 @@ def _generate_all_charts(spec, input_data): f"{u' ' * (max_len.tst - len(test_reg_lst[idx]))} " f"{nic_reg_lst[idx]}" f"{u' ' * (max_len.nic - len(nic_reg_lst[idx]))} " - f"{frmsize_reg_lst[idx]}" + f"{frmsize_reg_lst[idx].upper()}" f"{u' ' * (max_len.frmsize - len(frmsize_reg_lst[idx]))} " f"{trend_reg_lst[idx]}" f"{u' ' * (max_len.trend - len(str(trend_reg_lst[idx])))} " @@ -971,7 +971,7 @@ def _generate_all_charts(spec, input_data): f"{u' ' * (max_len.tst - len(test_prog_lst[idx]))} " f"{nic_prog_lst[idx]}" f"{u' ' * (max_len.nic - len(nic_prog_lst[idx]))} " - f"{frmsize_prog_lst[idx]}" + f"{frmsize_prog_lst[idx].upper()}" f"{u' ' * (max_len.frmsize - len(frmsize_prog_lst[idx]))} " f"{trend_prog_lst[idx]}" f"{u' ' * (max_len.trend -len(str(trend_prog_lst[idx])))} " |