From 808797d2d913eac7581a4e4cba3fb826ddbff775 Mon Sep 17 00:00:00 2001 From: Tibor Frank Date: Wed, 3 Aug 2022 15:00:51 +0200 Subject: UTI: Add Download for iterative data. Change-Id: I79bcfc2449310d4d186146ce79b2143a33ed2d1f Signed-off-by: Tibor Frank --- resources/tools/dash/app/pal/stats/graphs.py | 33 ++++++++++++++++++++++++++-- 1 file changed, 31 insertions(+), 2 deletions(-) (limited to 'resources/tools/dash/app/pal/stats/graphs.py') diff --git a/resources/tools/dash/app/pal/stats/graphs.py b/resources/tools/dash/app/pal/stats/graphs.py index c1f58f2405..42f23da5aa 100644 --- a/resources/tools/dash/app/pal/stats/graphs.py +++ b/resources/tools/dash/app/pal/stats/graphs.py @@ -21,7 +21,19 @@ from datetime import datetime, timedelta def select_data(data: pd.DataFrame, itm:str, start: datetime, end: datetime) -> pd.DataFrame: - """ + """Select the data for graphs from the provided data frame. + + :param data: Data frame with data for graphs. + :param itm: Item (in this case job name) which data will be selected from + the input data frame. + :param start: The date (and time) when the selected data starts. + :param end: The date (and time) when the selected data ends. + :type data: pandas.DataFrame + :type itm: str + :type start: datetime.datetime + :type end: datetime.datetime + :returns: A data frame with selected data. + :rtype: pandas.DataFrame """ df = data.loc[ @@ -36,7 +48,24 @@ def select_data(data: pd.DataFrame, itm:str, start: datetime, def graph_statistics(df: pd.DataFrame, job:str, layout: dict, start: datetime=datetime.utcnow()-timedelta(days=180), end: datetime=datetime.utcnow()) -> tuple: - """ + """Generate graphs: + 1. Passed / failed tests, + 2. Job durations + with additional information shown in hover. + + :param df: Data frame with input data. + :param job: The name of job which data will be presented in the graphs. + :param layout: Layout of plot.ly graph. + :param start: The date (and time) when the selected data starts. + :param end: The date (and time) when the selected data ends. + :type df: pandas.DataFrame + :type job: str + :type layout: dict + :type start: datetime.datetime + :type end: datetime.datetime + :returns: Tuple with two generated graphs (pased/failed tests and job + duration). + :rtype: tuple(plotly.graph_objects.Figure, plotly.graph_objects.Figure) """ data = select_data(df, job, start, end) -- cgit 1.2.3-korg