+++ /dev/null
-# 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
- )
- ]
Code Review / csit.git / blobdiff