recopytex/dashboard/pages/exams_scores/app.py

@@ -55,23 +55,6 @@ layout = html.Div(
                             ],
                             id="final_score_table_container",
                         ),
-                        html.Div(
-                            children=[
-                                dash_table.DataTable(
-                                    id="score_statistics_table",
-                                    columns=[],
-                                )
-                            ],
-                            id="score_statistics_table_container",
-                        ),
-                        html.Div(
-                            children=[
-                                dcc.Graph(
-                                    id="fig_exam_histo",
-                                )
-                            ],
-                            id="fig_exam_histo_container",
-                        ),
                     ],
                     id="analysis",
                 ),
@@ -83,14 +66,6 @@ layout = html.Div(
                             style_data_conditional=[],
                             fixed_columns={},
                             editable=True,
-                            style_table={"minWidth": "100%"},
-                            style_cell={
-                                "minWidth": "100px",
-                                "width": "100px",
-                                "maxWidth": "100px",
-                                "overflow": "hidden",
-                                "textOverflow": "ellipsis",
-                            },
                         )
                     ],
                     id="edit",

recopytex/dashboard/pages/exams_scores/callbacks.py

@@ -2,12 +2,11 @@
 # encoding: utf-8
 
 from dash.dependencies import Input, Output, State
+import dash
 from dash.exceptions import PreventUpdate
-import plotly.graph_objects as go
 import dash_table
 import json
 import pandas as pd
-import numpy as np
 
 from recopytex.dashboard.app import app
 from recopytex.dashboard.common.formating import highlight_scores
@@ -53,6 +52,7 @@ def update_exams_choices(tribe):
     ],
 )
 def update_scores_store(exam):
+    ctx = dash.callback_context
     if not exam:
         return [[], [], [], {}]
     exam = pd.DataFrame.from_dict([json.loads(exam)])
@@ -88,70 +88,7 @@ def update_scores_store(exam):
         Input("scores_table", "data"),
     ],
 )
-def update_finale_score_table(scores):
+def update_scores_store(scores):
     scores_df = pd.DataFrame.from_records(scores)
     # print(scores_df)
     return score_to_final_mark(scores_df)
-
-
-@app.callback(
-    [
-        Output("score_statistics_table", "columns"),
-        Output("score_statistics_table", "data"),
-    ],
-    [
-        Input("final_score_table", "data"),
-    ],
-)
-def update_statictics_table(finale_score):
-    df = pd.DataFrame.from_records(finale_score)
-    statistics = df["mark"].describe().to_frame().T
-    print(statistics)
-    return [
-        [{"id": c, "name": c} for c in statistics.columns],
-        statistics.to_dict("records"),
-    ]
-
-
-@app.callback(
-    [
-        Output("fig_exam_histo", "figure"),
-    ],
-    [
-        Input("final_score_table", "data"),
-    ],
-)
-def update_exam_histo(finale_scores):
-    scores = pd.DataFrame.from_records(finale_scores)
-
-    if scores.empty:
-        return [go.Figure(data=[go.Scatter(x=[], y=[])])]
-
-    ranges = np.linspace(
-        -0.5,
-        scores["score_rate"].max(),
-        int(scores["score_rate"].max() * 2 + 2),
-    )
-
-    bins = pd.cut(scores["mark"], ranges)
-    scores["Bin"] = bins
-    grouped = (
-        scores.reset_index()
-        .groupby("Bin")
-        .agg({"score_rate": "count", "student_name": lambda x: "\n".join(x)})
-    )
-    grouped.index = grouped.index.map(lambda i: i.right)
-    fig = go.Figure()
-    fig.add_bar(
-        x=grouped.index,
-        y=grouped["score_rate"],
-        text=grouped["student_name"],
-        textposition="auto",
-        hovertemplate="",
-        marker_color="#4E89DE",
-    )
-    fig.update_layout(
-        height=300,
-        margin=dict(l=5, r=5, b=5, t=5),
-    )
-    return [fig]