Feat: start the layout for create_exam

recopytex/dashboard/assets/style.css

@@ -19,6 +19,8 @@ main {
     margin: auto;
 }
 
+/* Exam analysis */
+
 #select {
     margin-bottom: 20px;
 }
@@ -39,3 +41,20 @@ main {
     width: 45vw;
     margin: auto;
 }
+
+/* Create new exam */
+
+#new-exam {
+    display: flex;
+    flex-flow: row;
+    justify-content: space-between;
+}
+
+#new-exam label {
+    width: 20%;
+    display: flex;
+    flex-flow: column;
+    justify-content: space-between;
+}
+
+

recopytex/dashboard/create_exam/app.py

@@ -135,7 +135,19 @@ def add_exercise(n_clicks, children):
     if n_clicks is None:
         return children
     element_table = pd.DataFrame(columns=[c["id"] for c in QUESTION_COLUMNS])
-    element_table = element_table.append(pd.Series(name=0))
+    element_table = element_table.append(
+        pd.Series(
+            data={
+                "id": 1,
+                "competence": "Rechercher",
+                "theme": "",
+                "comment": "",
+                "score_rate": 1,
+                "is_leveled": 1,
+            },
+            name=0,
+        )
+    )
     new_exercise = html.Div(
         children=[
             html.Div(
@@ -162,7 +174,7 @@ def add_exercise(n_clicks, children):
                 editable=True,
                 row_deletable=True,
                 dropdown={
-                    "Competence": {
+                    "competence": {
                         "options": [
                             {"label": i, "value": i} for i in config["competences"]
                         ]
@@ -205,7 +217,19 @@ def add_element(n_clicks, elements):
         return elements
 
     df = pd.DataFrame.from_records(elements)
-    df = df.append(pd.Series(name=n_clicks))
+    df = df.append(
+        pd.Series(
+            data={
+                "id": len(df) + 1,
+                "competence": "",
+                "theme": "",
+                "comment": "",
+                "score_rate": 1,
+                "is_leveled": 1,
+            },
+            name=n_clicks,
+        )
+    )
     return df.to_dict("records")
 
 
@@ -252,7 +276,6 @@ def store_exam(tribe, exam_name, date, term, exercices, elements, elements_id):
         ex_elements = elements[index]
         exam.add_exercise(name, ex_elements)
 
-    print(yaml.dump(exam.to_dict()))
     return exam.to_dict()
 
 

recopytex/dashboard/exam_analysis/app.py

@@ -127,12 +127,22 @@ layout = html.Div(
                         dash_table.DataTable(
                             id="scores_table",
                             columns=[
-                                {"id": c, "name": c} for c in NO_ST_COLUMNS.values()
+                                {"id": "id", "name": "Question"},
+                                {
+                                    "id": "competence",
+                                    "name": "Competence",
+                                },
+                                {"id": "theme", "name": "Domaine"},
+                                {"id": "comment", "name": "Commentaire"},
+                                {"id": "score_rate", "name": "Bareme"},
+                                {"id": "is_leveled", "name": "Est_nivele"},
                             ],
                             style_cell={
                                 "whiteSpace": "normal",
                                 "height": "auto",
                             },
+                            fixed_columns={"headers": True, "data": 7},
+                            style_table={"minWidth": "100%"},
                             style_data_conditional=[],
                             editable=True,
                         ),
@@ -379,7 +389,11 @@ def update_scores_table(csv, add_element, data):
         )
         stack = stack.append(infos)
     return (
-        [{"id": c, "name": c} for c in stack.columns],
+        [
+            {"id": c, "name": c}
+            for c in stack.columns
+            if c not in ["Trimestre", "Nom", "Date"]
+        ],
         stack.to_dict("records"),
         highlight_value(stack),
     )