From 808797d2d913eac7581a4e4cba3fb826ddbff775 Mon Sep 17 00:00:00 2001
From: Tibor Frank <tifrank@cisco.com>
Date: Wed, 3 Aug 2022 15:00:51 +0200
Subject: UTI: Add Download for iterative data.

Change-Id: I79bcfc2449310d4d186146ce79b2143a33ed2d1f
Signed-off-by: Tibor Frank <tifrank@cisco.com>
---
 resources/tools/dash/app/pal/stats/graphs.py | 33 ++++++++++++++++++++++++++--
 resources/tools/dash/app/pal/stats/layout.py |  3 ++-
 2 files changed, 33 insertions(+), 3 deletions(-)

(limited to 'resources/tools/dash/app/pal/stats')

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)
diff --git a/resources/tools/dash/app/pal/stats/layout.py b/resources/tools/dash/app/pal/stats/layout.py
index 8df6d53bac..1d271cb265 100644
--- a/resources/tools/dash/app/pal/stats/layout.py
+++ b/resources/tools/dash/app/pal/stats/layout.py
@@ -800,7 +800,8 @@ class Layout:
             data = select_data(self.data, job, get_date(start), get_date(end))
             data = data.drop(columns=["job", ])
 
-            return dcc.send_data_frame(data.T.to_csv, f"{job}-stats.csv")
+            return dcc.send_data_frame(
+                data.T.to_csv, f"{job}-{C.STATS_DOWNLOAD_FILE_NAME}")
 
         @app.callback(
             Output("row-metadata", "children"),
-- 
cgit 1.2.3-korg