Feat: start exams scores pages

recopytex/dashboard/pages/exams_scores/app.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import dash_html_components as html
+import dash_core_components as dcc
+from .models import get_tribes, get_exams
+from .callbacks import *
+
+layout = html.Div(
+    children=[
+        html.Header(
+            children=[
+                html.H1("Analyse des notes"),
+                html.P("Dernière sauvegarde", id="lastsave"),
+            ],
+        ),
+        html.Main(
+            html.Section(
+                [
+                    html.Div(
+                        [
+                            "Classe: ",
+                            dcc.Dropdown(
+                                id="tribe",
+                                options=[
+                                    {"label": t["name"], "value": t["name"]}
+                                    for t in get_tribes().values()
+                                ],
+                                value=next(iter(get_tribes().values()))["name"],
+                            ),
+                        ],
+                    ),
+                    html.Div(
+                        [
+                            "Evaluation: ",
+                            dcc.Dropdown(id="exam_select"),
+                        ],
+                    html.P(id="test"),
+                ],
+                id="select",
+            ),
+            html.Section(
+                [
+                    html.Div(
+                        dash_table.DataTable(
+                            id="final_score_table",
+                            columns=[
+                                {"id": "Eleve", "name": "Élève"},
+                                {"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="final_score_table_container",
+                        ),
+                    ],
+                id="analysis",
+            ),
+            html.Section(
+                id="scores_table",
+            ),
+        ),
+        dcc.Store(id="scores"),
+    ],
+)

recopytex/dashboard/pages/exams_scores/callbacks.py

@@ -0,0 +1,53 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from dash.dependencies import Input, Output
+from dash.exceptions import PreventUpdate
+
+from ...app import app
+from .models import get_tribes, get_exams
+
+
+@app.callback(
+    [
+        Output("exam_select", "options"),
+        Output("exam_select", "value"),
+    ],
+    [Input("tribe", "value")],
+)
+def update_csvs(value):
+    if not value:
+        raise PreventUpdate
+    exams = get_exams(value)
+    exams.reset_index(inplace=True)
+    print(exams.loc[0, "name"])
+    if not exams.empty:
+        return [
+            {"label": e["name"], "value": e.to_json()} for i, e in exams.iterrows()
+        ], exams.loc[0].to_json()
+    return [], None
+
+
+@app.callback(
+    [
+        dash.dependencies.Output("final_score", "data"),
+    ],
+    [dash.dependencies.Input("scores_table", "data")],
+)
+def update_final_scores(data):
+    if not data:
+        raise PreventUpdate
+
+    scores = pd.DataFrame.from_records(data)
+    try:
+        if scores.iloc[0]["Commentaire"] == "commentaire":
+            scores.drop([0], inplace=True)
+    except KeyError:
+        pass
+    scores = flat_df_students(scores).dropna(subset=["Score"])
+    if scores.empty:
+        return [{}]
+
+    scores = pp_q_scores(scores)
+    assessment_scores = scores.groupby(["Eleve"]).agg({"Note": "sum", "Bareme": "sum"})
+    return [assessment_scores.reset_index().to_dict("records")]

recopytex/dashboard/pages/exams_scores/models.py

@@ -0,0 +1,15 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from ....database.filesystem.loader import CSVLoader
+
+LOADER = CSVLoader("./test_config.yml")
+
+
+def get_tribes():
+    return LOADER.get_tribes()
+
+
+def get_exams(tribe):
+    return LOADER.get_exams([tribe])
+

recopytex/dashboard/routes.py

@@ -5,21 +5,22 @@ from dash.dependencies import Input, Output
 
 from .app import app
 from .pages.home import app as home
+from .pages.exams_scores import app as exams_scores
 
 
 @app.callback(Output("page-content", "children"), [Input("url", "pathname")])
 def render_page_content(pathname):
     if pathname == "/":
         return home.layout
-    # elif pathname == gdp_page_location:
-    #     return gdp.layout
+    elif pathname == "/exams/scores/":
+        return exams_scores.layout
     # elif pathname == iris_page_location:
     #     return iris.layout
     # # If the user tries to reach a different page, return a 404 message
-    # return dbc.Jumbotron(
-    #     [
-    #         html.H1("404: Not found", className="text-danger"),
-    #         html.Hr(),
-    #         html.P(f"The pathname {pathname} was not recognised..."),
-    #     ]
-    # )
+    return html.Div(
+        [
+            html.H1("404: Not found", className="text-danger"),
+            html.Hr(),
+            html.P(f"The pathname {pathname} was not recognised..."),
+        ]
+    )