feat(uti): data to csv

Change-Id: Iebc24dae2b76408f07c145b2638c346193cf8e1e
Signed-off-by: Tibor Frank <tifrank@cisco.com>

diff --git a/resources/tools/dash/app/pal/stats/graphs.py b/resources/tools/dash/app/pal/stats/graphs.py
index 37fc1b2..d9f4940 100644 (file)
--- a/resources/tools/dash/app/pal/stats/graphs.py
+++ b/resources/tools/dash/app/pal/stats/graphs.py
@@ -19,12 +19,16 @@ import pandas as pd
 
 from datetime import datetime, timedelta
 
 
 from datetime import datetime, timedelta
 

-def select_data(data: pd.DataFrame, itm:str) -> pd.DataFrame:
+def select_data(data: pd.DataFrame, itm:str, start: datetime,
+        end: datetime) -> pd.DataFrame:

     """
     """
 
     """
     """
 

-    df = data.loc[(data["job"] == itm)].sort_values(
-        by="start_time", ignore_index=True)
+    df = data.loc[
+        (data["job"] == itm) &
+        (data["start_time"] >= start) & (data["start_time"] <= end)
+    ].sort_values(by="start_time", ignore_index=True)
+    df = df.dropna(subset=["duration", ])

 
     return df
 
 
     return df
 


@@ -35,14 +39,7 @@ def graph_statistics(df: pd.DataFrame, job:str, layout: dict,
     """
     """
 
     """
     """
 

-    data = select_data(df, job)
-    data = data.dropna(subset=["duration", ])
-    if data.empty:
-        return None, None
-
-    data = data.loc[(
-        (data["start_time"] >= start) & (data["start_time"] <= end)
-    )]
+    data = select_data(df, job, start, end)

     if data.empty:
         return None, None
 
     if data.empty:
         return None, None
 

diff --git a/resources/tools/dash/app/pal/stats/layout.py b/resources/tools/dash/app/pal/stats/layout.py
index 7ac379a..1b2aebe 100644 (file)
--- a/resources/tools/dash/app/pal/stats/layout.py
+++ b/resources/tools/dash/app/pal/stats/layout.py
@@ -29,7 +29,7 @@ from datetime import datetime, timedelta
 from copy import deepcopy
 
 from ..data.data import Data
 from copy import deepcopy
 
 from ..data.data import Data

-from .graphs import graph_statistics
+from .graphs import graph_statistics, select_data

 
 
 class Layout:
 
 
 class Layout:


@@ -661,16 +661,33 @@ class Layout:
 
         @app.callback(
             Output("download-data", "data"),
 
         @app.callback(
             Output("download-data", "data"),

+            State("control-panel", "data"),  # Store
+            State("dpr-period", "start_date"),
+            State("dpr-period", "end_date"),

             Input("btn-download-data", "n_clicks"),
             prevent_initial_call=True
         )
             Input("btn-download-data", "n_clicks"),
             prevent_initial_call=True
         )

-        def _download_data(n_clicks):
+        def _download_data(cp_data: dict, start: str, end: str, n_clicks: int):

             """
             """
             """
             """

-            if not n_clicks:
+            if not (n_clicks):

                 raise PreventUpdate
 
                 raise PreventUpdate
 

-            return dcc.send_data_frame(self.data.to_csv, "statistics.csv")
+            ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+            job = self._get_job(
+                ctrl_panel.get("ri-duts-value"),
+                ctrl_panel.get("ri-ttypes-value"),
+                ctrl_panel.get("ri-cadences-value"),
+                ctrl_panel.get("dd-tbeds-value")
+            )
+
+            start = datetime(int(start[0:4]), int(start[5:7]), int(start[8:10]))
+            end = datetime(int(end[0:4]), int(end[5:7]), int(end[8:10]))
+            data = select_data(self.data, job, start, end)
+            data = data.drop(columns=["job", ])
+
+            return dcc.send_data_frame(data.T.to_csv, f"{job}-stats.csv")

 
         @app.callback(
             Output("row-metadata", "children"),
 
         @app.callback(
             Output("row-metadata", "children"),