diff options
Diffstat (limited to 'resources/tools/dash/app/pal/stats/graphs.py')
| -rw-r--r-- | resources/tools/dash/app/pal/stats/graphs.py | 24 |
1 files changed, 5 insertions, 19 deletions
diff --git a/resources/tools/dash/app/pal/stats/graphs.py b/resources/tools/dash/app/pal/stats/graphs.py index 42f23da5aa..f533d72aa8 100644 --- a/resources/tools/dash/app/pal/stats/graphs.py +++ b/resources/tools/dash/app/pal/stats/graphs.py @@ -17,37 +17,27 @@ import plotly.graph_objects as go import pandas as pd -from datetime import datetime, timedelta -def select_data(data: pd.DataFrame, itm:str, start: datetime, - end: datetime) -> pd.DataFrame: +def select_data(data: pd.DataFrame, itm:str) -> 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[ - (data["job"] == itm) & - (data["start_time"] >= start) & (data["start_time"] <= end) - ].sort_values(by="start_time", ignore_index=True) + df = data.loc[(data["job"] == itm)].sort_values( + by="start_time", ignore_index=True) df = df.dropna(subset=["duration", ]) return df -def graph_statistics(df: pd.DataFrame, job:str, layout: dict, - start: datetime=datetime.utcnow()-timedelta(days=180), - end: datetime=datetime.utcnow()) -> tuple: +def graph_statistics(df: pd.DataFrame, job:str, layout: dict) -> tuple: """Generate graphs: 1. Passed / failed tests, 2. Job durations @@ -56,19 +46,15 @@ def graph_statistics(df: pd.DataFrame, job:str, layout: dict, :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) + data = select_data(df, job) if data.empty: return None, None |