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authorTibor Frank <tifrank@cisco.com>2022-07-18 13:52:37 +0200
committerTibor Frank <tifrank@cisco.com>2022-07-20 09:22:07 +0200
commit371bac71bc789bf9d68fa1b8ba77f21c4876244f (patch)
treecde1fe1368b70a635ee6fe8cb5412274520b4815 /resources/tools/dash/app/pal/news/tables.py
parent6357d15b639bc472c11a74bd2d3ec6e889ff1578 (diff)
UTI: Add regressions and progressions
Change-Id: Ic5febe8fc1bd5ccd9699e73003783484240cbd07 Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/dash/app/pal/news/tables.py')
-rw-r--r--resources/tools/dash/app/pal/news/tables.py43
1 files changed, 39 insertions, 4 deletions
diff --git a/resources/tools/dash/app/pal/news/tables.py b/resources/tools/dash/app/pal/news/tables.py
index c8f851b030..53b24608d5 100644
--- a/resources/tools/dash/app/pal/news/tables.py
+++ b/resources/tools/dash/app/pal/news/tables.py
@@ -18,17 +18,30 @@ import pandas as pd
import dash_bootstrap_components as dbc
-def table_failed(data: pd.DataFrame, job: str) -> list:
+# Time period for regressions and progressions.
+TIME_PERIOD = 21 # [days]
+
+
+def table_news(data: pd.DataFrame, job: str) -> list:
"""
"""
job_data = data.loc[(data["job"] == job)]
- failed = job_data["lst_failed"].to_list()[0]
+ failed = job_data["failed"].to_list()[0]
+ regressions = {"Test Name": list(), "Last Regression": list()}
+ for itm in job_data["regressions"].to_list()[0]:
+ regressions["Test Name"].append(itm[0])
+ regressions["Last Regression"].append(itm[1].strftime('%Y-%m-%d %H:%M'))
+ progressions = {"Test Name": list(), "Last Progression": list()}
+ for itm in job_data["progressions"].to_list()[0]:
+ progressions["Test Name"].append(itm[0])
+ progressions["Last Progression"].append(
+ itm[1].strftime('%Y-%m-%d %H:%M'))
return [
dbc.Table.from_dataframe(pd.DataFrame.from_dict({
"Job": job_data["job"],
- "Build": job_data["build"],
+ "Last Build": job_data["build"],
"Date": job_data["start"],
"DUT": job_data["dut_type"],
"DUT Version": job_data["dut_version"],
@@ -39,5 +52,27 @@ def table_failed(data: pd.DataFrame, job: str) -> list:
f"Last Failed Tests on "
f"{job_data['start'].values[0]} ({len(failed)})"
): failed
- }), bordered=True, striped=True, hover=True, size="sm", color="light")
+ }), bordered=True, striped=True, hover=True, size="sm", color="light"),
+ dbc.Label(
+ class_name="p-0",
+ size="lg",
+ children=(
+ f"Regressions during the last {TIME_PERIOD} days "
+ f"({len(regressions['Test Name'])})"
+ )
+ ),
+ dbc.Table.from_dataframe(
+ pd.DataFrame.from_dict(regressions),
+ bordered=True, striped=True, hover=True, size="sm", color="light"),
+ dbc.Label(
+ class_name="p-0",
+ size="lg",
+ children=(
+ f"Progressions during the last {TIME_PERIOD} days "
+ f"({len(progressions['Test Name'])})"
+ )
+ ),
+ dbc.Table.from_dataframe(
+ pd.DataFrame.from_dict(progressions),
+ bordered=True, striped=True, hover=True, size="sm", color="light")
]