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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 ..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")
]
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