feat(uti): Move directory

Signed-off-by: pmikus <peter.mikus@protonmail.ch>
Change-Id: I7300ecfe756baaf3fbeedb020070f882cfaca445

1 files changed, 0 insertions, 176 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 7c0cc66eda..0000000000
--- a/resources/tools/dash/app/pal/news/tables.py
+++ /dev/null
@@ -1,176 +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 datetime import datetime, timedelta
-
-
-def _table_info(job_data: pd.DataFrame) -> dbc.Table:
-    """Generates table with info about the job.
-
-    :param job_data: Dataframe with information about the job.
-    :type job_data: pandas.DataFrame
-    :returns: Table with job info.
-    :rtype: dbc.Table
-    """
-    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="info"
-    )
-
-
-def _table_failed(job_data: pd.DataFrame, failed: list) -> dbc.Table:
-    """Generates table with failed tests from the last run of the job.
-
-    :param job_data: Dataframe with information about the job.
-    :param failed: List of failed tests.
-    :type job_data: pandas.DataFrame
-    :type failed: list
-    :returns: Table with fialed tests.
-    :rtype: dbc.Table
-    """
-    return 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="danger"
-    )
-
-
-def _table_gressions(itms: dict, color: str) -> dbc.Table:
-    """Generates table with regressions.
-
-    :param itms: Dictionary with items (regressions or progressions) and their
-        last occurence.
-    :param color: Color of the table.
-    :type regressions: dict
-    :type color: str
-    :returns: The table with regressions.
-    :rtype: dbc.Table
-    """
-    return dbc.Table.from_dataframe(
-        pd.DataFrame.from_dict(itms),
-        bordered=True,
-        striped=True,
-        hover=True,
-        size="sm",
-        color=color
-    )
-
-
-def table_news(data: pd.DataFrame, job: str, period: int) -> 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.
-    :param period: The time period (nr of days from now) taken into account.
-    :type data: pandas.DataFrame
-    :type job: str
-    :type period: int
-    :returns: List of tables.
-    :rtype: list
-    """
-
-    last_day = datetime.utcnow() - timedelta(days=period)
-    r_list = list()
-    job_data = data.loc[(data["job"] == job)]
-    r_list.append(_table_info(job_data))
-
-    failed = job_data["failed"].to_list()[0]
-    if failed:
-        r_list.append(_table_failed(job_data, failed))
-
-    title = f"Regressions in the last {period} days"
-    regressions = {title: list(), "Last Regression": list()}
-    for itm in job_data["regressions"].to_list()[0]:
-        if itm[1] < last_day:
-            break
-        regressions[title].append(itm[0])
-        regressions["Last Regression"].append(
-            itm[1].strftime('%Y-%m-%d %H:%M'))
-    if regressions["Last Regression"]:
-        r_list.append(_table_gressions(regressions, "warning"))
-
-    title = f"Progressions in the last {period} days"
-    progressions = {title: list(), "Last Progression": list()}
-    for itm in job_data["progressions"].to_list()[0]:
-        if itm[1] < last_day:
-            break
-        progressions[title].append(itm[0])
-        progressions["Last Progression"].append(
-            itm[1].strftime('%Y-%m-%d %H:%M'))
-    if progressions["Last Progression"]:
-        r_list.append(_table_gressions(progressions, "success"))
-
-    return r_list
-
-
-def table_summary(data: pd.DataFrame, jobs: list, period: int) -> list:
-    """Generates summary (failed tests, regressions and progressions) from the
-    last week.
-
-    :param data: Trending data with calculated annomalies to be displayed in the
-        tables.
-    :param jobs: List of jobs.
-    :params period: The time period for the summary table.
-    :type data: pandas.DataFrame
-    :type job: str
-    :type period: int
-    :returns: List of tables.
-    :rtype: list
-    """
-
-    return [
-        dbc.Accordion(
-            children=[
-                dbc.AccordionItem(
-                    title=job,
-                    children=table_news(data, job, period)
-                ) for job in jobs
-            ],
-            class_name="gy-2 p-0",
-            start_collapsed=True,
-            always_open=True
-        )
-    ]