1 files changed, 0 insertions, 85 deletions
diff --git a/resources/tools/dash/app/pal/news/tables.py b/resources/tools/dash/app/pal/news/tables.py
deleted file mode 100644
index 1a6c7d2556..0000000000
--- a/resources/tools/dash/app/pal/news/tables.py
+++ /dev/null
@@ -1,85 +0,0 @@
-# Copyright (c) 2022 Cisco and/or its affiliates.
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at:
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""The tables with news.
-"""
-
-import pandas as pd
-import dash_bootstrap_components as dbc
-
-from ..utils.constants import Constants as C
-
-
-def table_news(data: pd.DataFrame, job: str) -> list:
-    """Generates the tables with news:
-    1. Falied tests from the last run
-    2. Regressions and progressions calculated from the last C.NEWS_TIME_PERIOD
-       days.
-
-    :param data: Trending data with calculated annomalies to be displayed in the
-        tables.
-    :param job: The job name.
-    :type data: pandas.DataFrame
-    :type job: str
-    """
-
-    job_data = data.loc[(data["job"] == job)]
-    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"],
-            "Last Build": job_data["build"],
-            "Date": job_data["start"],
-            "DUT": job_data["dut_type"],
-            "DUT Version": job_data["dut_version"],
-            "Hosts": ", ".join(job_data["hosts"].to_list()[0])
-        }), bordered=True, striped=True, hover=True, size="sm", color="light"),
-        dbc.Table.from_dataframe(pd.DataFrame.from_dict({
-            (
-                f"Last Failed Tests on "
-                f"{job_data['start'].values[0]} ({len(failed)})"
-            ): failed
-        }), bordered=True, striped=True, hover=True, size="sm", color="light"),
-        dbc.Label(
-            class_name="p-0",
-            size="lg",
-            children=(
-                f"Regressions during the last {C.NEWS_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 {C.NEWS_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")
-    ]