From 429fed6a1e361d7d10f7a22a019c2ff66e606432 Mon Sep 17 00:00:00 2001
From: Bertrand Benjamin <benjamin.bertrand@opytex.org>
Date: Sun, 24 Jan 2021 06:53:06 +0100
Subject: [PATCH] Feat: default values for elements

---
 recopytex/dashboard/create_exam/app.py | 30 +++++++++++++++++++++++---
 1 file changed, 27 insertions(+), 3 deletions(-)

diff --git a/recopytex/dashboard/create_exam/app.py b/recopytex/dashboard/create_exam/app.py
index 1e2d146..8bbdb8e 100644
--- a/recopytex/dashboard/create_exam/app.py
+++ b/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")