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# 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
from dash import html
from ..utils.constants import Constants as C
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) -> 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.
:type data: pandas.DataFrame
:type job: str
:returns: List of tables.
:rtype: list
"""
r_list = list()
for job in jobs:
r_list.extend(table_news(data, job, C.NEWS_SUMMARY_PERIOD))
r_list.append(html.Div(html.P(" ")))
return r_list
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