recopytex/dashboard/exam_analysis/app.py

@@ -240,7 +240,7 @@ def update_final_scores_hist(data):
     assessment_scores = pd.DataFrame.from_records(data)
 
     if assessment_scores.empty:
-        return [go.Figure(data=[go.Scatter(x=[], y=[])])]
+        return [{"data": [], "layout": []}]
 
     ranges = np.linspace(
         -0.5,
@@ -287,7 +287,7 @@ def update_competence_fig(data):
     scores = flat_df_students(scores).dropna(subset=["Score"])
 
     if scores.empty:
-        return [go.Figure(data=[go.Scatter(x=[], y=[])])]
+        return [{"data": [], "layout": []}]
 
     scores = pp_q_scores(scores)
     pt = pd.pivot_table(

recopytex/dashboard/student_analysis/app.py

@@ -18,19 +18,10 @@ from ...config import NO_ST_COLUMNS
 from ..app import app
 from ...scripts.exam import Exam
 
-
 def get_students(csv):
     return list(pd.read_csv(csv).T.to_dict().values())
 
 
-COLORS = {
-    ".": "black",
-    0: "#E7472B",
-    1: "#FF712B",
-    2: "#F2EC4C",
-    3: "#68D42F",
-}
-
 QUESTION_COLUMNS = [
     {"id": "id", "name": "Question"},
     {
@@ -128,6 +119,9 @@ layout = html.Div(
                             ),
                             id="eval-table",
                         ),
+                        html.Div(
+                            id="describe",
+                        ),
                     ],
                     id="Évaluations",
                 ),
@@ -137,7 +131,7 @@ layout = html.Div(
                             id="competences-viz",
                         ),
                         html.Div(
-                            id="themes-vizz",
+                            id="themes-viz",
                         ),
                     ],
                     id="visualisation",
@@ -219,85 +213,5 @@ def update_exam_scores(data):
     scores = pp_q_scores(scores)
     assessment_scores = scores.groupby(["Nom"]).agg({"Note": "sum", "Bareme": "sum"})
     return [assessment_scores.reset_index().to_dict("records")]
-
-
-@app.callback(
-        [
-            dash.dependencies.Output("competences-viz", "children"),
-            ],
-        [
-            dash.dependencies.Input("student-scores", "data"),
-            ],
-        )
-def update_competences_viz(data):
-    scores = pd.DataFrame.from_records(data)
-    scores = pp_q_scores(scores)
-    pt = pd.pivot_table(
-        scores,
-        index=["Competence"],
-        columns="Score",
-        aggfunc="size",
-        fill_value=0,
-    )
-    fig = go.Figure()
-    bars = [
-        {"score": -1, "name": "Pas de réponse", "color": COLORS["."]},
-        {"score": 0, "name": "Faux", "color": COLORS[0]},
-        {"score": 1, "name": "Peu juste", "color": COLORS[1]},
-        {"score": 2, "name": "Presque juste", "color": COLORS[2]},
-        {"score": 3, "name": "Juste", "color": COLORS[3]},
-    ]
-    for b in bars:
-        try:
-            fig.add_bar(
-                x=list(config["competences"].keys()), y=pt[b["score"]], name=b["name"], marker_color=b["color"]
-            )
-        except KeyError:
-            pass
-    fig.update_layout(barmode="relative")
-    fig.update_layout(
-        height=500,
-        margin=dict(l=5, r=5, b=5, t=5),
-    )
-    return [dcc.Graph(figure=fig)]
-
-@app.callback(
-        [
-            dash.dependencies.Output("themes-vizz", "children"),
-            ],
-        [
-            dash.dependencies.Input("student-scores", "data"),
-            ],
-        )
-def update_themes_viz(data):
-    scores = pd.DataFrame.from_records(data)
-    scores = pp_q_scores(scores)
-    pt = pd.pivot_table(
-        scores,
-        index=["Domaine"],
-        columns="Score",
-        aggfunc="size",
-        fill_value=0,
-    )
-    fig = go.Figure()
-    bars = [
-        {"score": -1, "name": "Pas de réponse", "color": COLORS["."]},
-        {"score": 0, "name": "Faux", "color": COLORS[0]},
-        {"score": 1, "name": "Peu juste", "color": COLORS[1]},
-        {"score": 2, "name": "Presque juste", "color": COLORS[2]},
-        {"score": 3, "name": "Juste", "color": COLORS[3]},
-    ]
-    for b in bars:
-        try:
-            fig.add_bar(
-                x=list(pt.index), y=pt[b["score"]], name=b["name"], marker_color=b["color"]
-            )
-        except KeyError:
-            pass
-    fig.update_layout(barmode="relative")
-    fig.update_layout(
-        height=500,
-        margin=dict(l=5, r=5, b=5, t=5),
-    )
-    return [dcc.Graph(figure=fig)]
+    return [{}]