From d911c7a79a55229aa32f8d81b9b3d5056f007594 Mon Sep 17 00:00:00 2001
From: yalmansour1998 <120363766+yalmansour1998@users.noreply.github.com>
Date: Wed, 29 May 2024 12:54:39 +0200
Subject: [PATCH] Add files via upload

---
 3D_app/pages/ascan.py | 33 +++++++++++++++++++++++----------
 1 file changed, 23 insertions(+), 10 deletions(-)

diff --git a/3D_app/pages/ascan.py b/3D_app/pages/ascan.py
index 3e91ddd..013adb5 100644
--- a/3D_app/pages/ascan.py
+++ b/3D_app/pages/ascan.py
@@ -65,7 +65,7 @@ layout = html.Div(
                                 {"label": "filtre à réponse impulsionnelle infinie", "value": "6"},
                                 {"label": "filtre à réponse impulsionnelle finie", "value": "7"},
                             ],
-                            value=2,
+                            value=3,
                             style={"margin-bottom": "15px"},
                         ),
                     ]
@@ -116,10 +116,12 @@ layout = html.Div(
         ),
         dbc.Col(
             [
+                dbc.Label("Fs ", html_for="Fs "),
                 dbc.Input(
                     id="input-ascan-solo-fs",
                     type="number",
                     placeholder="Fs",
+                    value=200,
                     step=0.1,
                     style={"marginTop": "15px"},
                 ),
@@ -128,10 +130,12 @@ layout = html.Div(
         ),
         dbc.Col(
             [
+                dbc.Label("cut off", html_for="cut off"),
                 dbc.Input(
                     id="input-ascan-solo-cutoff",
                     type="number",
                     placeholder="cut_off",
+                    value=3,
                     step=0.1,
                     style={"marginTop": "15px"},
                 ),
@@ -140,11 +144,13 @@ layout = html.Div(
         ),
         dbc.Col(
             [
+                dbc.Label("order", html_for="order"),
                 dbc.Input(
                     id="input-ascan-solo-order",
                     type="number",
                     placeholder="order",
-                    step=0.1,
+                    value=2,
+                    step=1,
                     style={"marginTop": "15px"},
                 ),
             ],
@@ -152,10 +158,12 @@ layout = html.Div(
         ),
         dbc.Col(
             [
+                dbc.Label("window size", html_for="window size"),
                 dbc.Input(
                     id="input-ascan-solo-windowsize",
                     type="number",
                     placeholder="window_size",
+                    value=21,
                     step=1,
                     style={"marginTop": "15px"},
                 ),
@@ -186,14 +194,19 @@ layout = html.Div(
 def update_heatmap_ascan(value1,value2,value3,value,n_clicks,fs,cutoff,order,windowsize):
     # TODO: implement the filter
     
-    if(n_clicks!=None and n_clicks>=1):
-        print("L12")
-        data_avec_traitement=volume[0,:,1]
-        data_sans_traitement=volume[0,:,1]
-        data_avec_traitement=switch_case(data_avec_traitement,value1)
-        data_sans_traitement=switch_case(data_sans_traitement,value1)
-        data_avec_traitement=switch_case(data_avec_traitement,value2,fs,cutoff,order,windowsize)
-        data_avec_traitement=switch_case(data_avec_traitement,value3,fs,cutoff,order,windowsize)
+    print("debut du traitement")
+    data_avec_traitement=volume[0,:,1]
+    data_sans_traitement=volume[0,:,1]
+    data_avec_traitement=switch_case(data_avec_traitement,value1)
+    data_sans_traitement=switch_case(data_sans_traitement,value1)
+    
+    print(fs,cutoff,order,windowsize,value2,value3)
+    
+    data_avec_traitement=switch_case(data_avec_traitement,value2,fs,cutoff,order,windowsize)
+    data_avec_traitement=switch_case(data_avec_traitement,value3,fs,cutoff,order,windowsize)
+    #data_avec_traitement=switch_case(data_avec_traitement,3,200,3,2,21)
+    #data_avec_traitement=switch_case(data_avec_traitement,2,200,3,2,21)
+    print("fin du traitement")
     fig = px.line( title="A-scan")
     new_trace = go.Scatter(y=data_avec_traitement, mode='lines', name=' Ascan traits ')
     fig.add_trace(new_trace)