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author | 2022-10-05 08:58:31 +0200 | |
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committer | 2022-10-05 08:58:31 +0200 | |
commit | af8e703eb180e46ca65ff0c165a21f2261896548 (patch) | |
tree | e477719c9010ca3e8ed3ffa63ffe293a2734d358 /csit.infra.dash/app/pal/news/tables.py | |
parent | 4d095b586bc4e249ab4e30e1a3f17b310f52a229 (diff) |
fix(cdash): Rename
Signed-off-by: pmikus <peter.mikus@protonmail.ch>
Change-Id: Ia6dff2674a28b42ebfbe91230587f1e175ae1137
Diffstat (limited to 'csit.infra.dash/app/pal/news/tables.py')
-rw-r--r-- | csit.infra.dash/app/pal/news/tables.py | 176 |
1 files changed, 0 insertions, 176 deletions
diff --git a/csit.infra.dash/app/pal/news/tables.py b/csit.infra.dash/app/pal/news/tables.py deleted file mode 100644 index 7c0cc66eda..0000000000 --- a/csit.infra.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 - ) - ] |