Merge remote-tracking branch 'origin/dev' into dev

recopytex/dashboard/exam_analysis/app.py

@@ -75,53 +75,40 @@ layout = html.Div(
                 ),
                 html.Div(
                     [
-                        html.Div(
+                        "Evaluation: ",
-                            dash_table.DataTable(
+                        dbc.Select(id="csv"),
-                                id="final_score_table",
+                    ]
-                                columns=[
+                ),
-                                    {"id": "Eleve", "name": "Élève"},
+            ],
-                                    {"id": "Note", "name": "Note"},
+        ),
-                                    {"id": "Bareme", "name": "Barème"},
+        html.H2("Résultats"),
-                                ],
+        dbc.Row(
-                                data=[],
+            [
-                                style_data_conditional=[
+                dbc.Col(
-                                    {
+                    dash_table.DataTable(
-                                        "if": {"row_index": "odd"},
+                        id="final_score_table",
-                                        "backgroundColor": "rgb(248, 248, 248)",
+                        columns=[
-                                    }
+                            {"id": "Eleve", "name": "Élève"},
-                                ],
+                            {"id": "Note", "name": "Note"},
-                                style_data={
+                            {"id": "Bareme", "name": "Barème"},
-                                    "width": "100px",
+                        ],
-                                    "maxWidth": "100px",
+                        data=[],
-                                    "minWidth": "100px",
+                        style_data_conditional=[
-                                },
+                            {
-                            ),
+                                "if": {"row_index": "odd"},
-                            id="final_score_table_container",
+                                "backgroundColor": "rgb(248, 248, 248)",
-                        ),
+                            }
-                        html.Div(
+                        ],
-                            [
+                        style_header={
-                                dash_table.DataTable(
+                            "backgroundColor": "rgb(230, 230, 230)",
-                                    id="final_score_describe",
+                            "fontWeight": "bold",
-                                    columns=[
+                        },
-                                        {"id": "count", "name": "count"},
+                        style_data={
-                                        {"id": "mean", "name": "mean"},
+                            "width": "100px",
-                                        {"id": "std", "name": "std"},
+                            "maxWidth": "100px",
-                                        {"id": "min", "name": "min"},
+                            "minWidth": "100px",
-                                        {"id": "25%", "name": "25%"},
+                        },
-                                        {"id": "50%", "name": "50%"},
+                    )
-                                        {"id": "75%", "name": "75%"},
-                                        {"id": "max", "name": "max"},
-                                    ],
-                                ),
-                                dcc.Graph(
-                                    id="fig_assessment_hist",
-                                ),
-                                dcc.Graph(id="fig_competences"),
-                            ],
-                            id="desc_plots",
-                        ),
-                    ],
-                    id="analysis",
                 ),
                 html.Div(
                     [
@@ -231,7 +218,7 @@ def update_final_scores_hist(data):
     assessment_scores = pd.DataFrame.from_records(data)
 
     if assessment_scores.empty:
-        return [{}]
+        return [{'data': [], 'layout':[]}]
 
     ranges = np.linspace(
         -0.5,
@@ -278,7 +265,7 @@ def update_competence_fig(data):
     scores = flat_df_students(scores).dropna(subset=["Score"])
 
     if scores.empty:
-        return [{}]
+        return [{'data': [], 'layout':[]}]
 
     scores = pp_q_scores(scores)
     pt = pd.pivot_table(