X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Fstats%2Fgraphs.py;fp=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Fstats%2Fgraphs.py;h=f533d72aa839b4d397156626b63e5f415126a69c;hb=69fd124979890cac21bd0dbc7ef442563f175372;hp=42f23da5aa1054e04681f37476790b327573e462;hpb=8ce2df561b011243f9138332058945e957d48d63;p=csit.git

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