Feat: table des évaluations

recopytex/dashboard/student_analysis/app.py

@@ -97,10 +97,30 @@ layout = html.Div(
                     children=[
                         html.H2("Évaluations"),
                         html.Div(
-                            id="describe",
+                            dash_table.DataTable(
+                                id="exam_scores",
+                                columns=[
+                                    {"id": "Nom", "name": "Évaluations"},
+                                    {"id": "Note", "name": "Note"},
+                                    {"id": "Bareme", "name": "Barème"},
+                                ],
+                                data=[],
+                                style_data_conditional=[
+                                    {
+                                        "if": {"row_index": "odd"},
+                                        "backgroundColor": "rgb(248, 248, 248)",
+                                    }
+                                ],
+                                style_data={
+                                    "width": "100px",
+                                    "maxWidth": "100px",
+                                    "minWidth": "100px",
+                                },
+                            ),
+                            id="eval-table",
                         ),
                         html.Div(
-                            id="eval-table",
+                            id="describe",
                         ),
                     ],
                     id="Évaluations",
@@ -119,7 +139,6 @@ layout = html.Div(
             ]
         ),
         dcc.Store(id="student-scores"),
-        html.P(id="test"),
     ]
 )
 
@@ -183,13 +202,16 @@ def update_student_scores(tribe, student, term):
 
 @app.callback(
     [
-        dash.dependencies.Output("test", "children"),
+        dash.dependencies.Output("exam_scores", "data"),
     ],
     [
         dash.dependencies.Input("student-scores", "data"),
         ],
 )
-def update_test(data):
-    return [str(data)]
-
+def update_exam_scores(data):
+    scores = pd.DataFrame.from_records(data)
+    scores = pp_q_scores(scores)
+    assessment_scores = scores.groupby(["Nom"]).agg({"Note": "sum", "Bareme": "sum"})
+    return [assessment_scores.reset_index().to_dict("records")]
+    return [{}]