Merge branch 'dev' of git_opytex:/lafrite/recopytex into dev

example/recoconfig.yml

@@ -4,9 +4,9 @@ output: ./
 templates: templates/
 
 competences:
-  Calculer:
+  Chercher:
-    name: Calculer
+    name: Chercher
-    abrv: Cal
+    abrv: Cher
   Représenter:
     name: Représenter
     abrv: Rep

recopytex/dashboard/create_exam/app.py

@@ -0,0 +1,269 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import dash
+import dash_html_components as html
+import dash_core_components as dcc
+import dash_table
+from datetime import date, datetime
+import uuid
+import pandas as pd
+import yaml
+
+from ...scripts.getconfig import config
+from ...config import NO_ST_COLUMNS
+from ..app import app
+from ...scripts.exam import Exam
+
+QUESTION_COLUMNS = [
+    {"id": "id", "name": "Question"},
+    {
+        "id": "competence",
+        "name": "Competence",
+        "presentation": "dropdown",
+    },
+    {"id": "theme", "name": "Domaine"},
+    {"id": "comment", "name": "Commentaire"},
+    {"id": "score_rate", "name": "Bareme"},
+    {"id": "is_leveled", "name": "Est_nivele"},
+]
+
+
+def get_current_year_limit():
+    today = date.today()
+    if today.month > 8:
+        return {
+            "min_date_allowed": date(today.year, 9, 1),
+            "max_date_allowed": date(today.year + 1, 7, 15),
+            "initial_visible_month": today,
+        }
+
+    return {
+        "min_date_allowed": date(today.year - 1, 9, 1),
+        "max_date_allowed": date(today.year, 7, 15),
+        "initial_visible_month": today,
+    }
+
+
+layout = html.Div(
+    [
+        html.Header(
+            children=[
+                html.H1("Création d'une évaluation"),
+                html.P("Pas encore de sauvegarde", id="is-saved"),
+                html.Button("Enregistrer dans csv", id="save-csv"),
+            ],
+        ),
+        html.Main(
+            children=[
+                html.Form(
+                    id="new-exam",
+                    children=[
+                        html.Label(
+                            children=[
+                                "Classe",
+                                dcc.Dropdown(
+                                    id="tribe",
+                                    options=[
+                                        {"label": t["name"], "value": t["name"]}
+                                        for t in config["tribes"]
+                                    ],
+                                    value=config["tribes"][0]["name"],
+                                ),
+                            ]
+                        ),
+                        html.Label(
+                            children=[
+                                "Nom de l'évaluation",
+                                dcc.Input(
+                                    id="exam_name",
+                                    type="text",
+                                    placeholder="Nom de l'évaluation",
+                                ),
+                            ]
+                        ),
+                        html.Label(
+                            children=[
+                                "Date",
+                                dcc.DatePickerSingle(
+                                    id="date",
+                                    date=date.today(),
+                                    **get_current_year_limit(),
+                                ),
+                            ]
+                        ),
+                        html.Label(
+                            children=[
+                                "Trimestre",
+                                dcc.Dropdown(
+                                    id="term",
+                                    options=[
+                                        {"label": i + 1, "value": i + 1}
+                                        for i in range(3)
+                                    ],
+                                    value=1,
+                                ),
+                            ]
+                        ),
+                    ],
+                ),
+                html.Div(
+                    id="exercises",
+                    children=[],
+                ),
+                html.Button(
+                    "Ajouter un exercice",
+                    id="add-exercise",
+                    className="add-exercise",
+                ),
+                html.Div(
+                    id="summary",
+                ),
+            ]
+        ),
+        dcc.Store(id="exam_store"),
+    ]
+)
+
+
+@app.callback(
+    dash.dependencies.Output("exercises", "children"),
+    dash.dependencies.Input("add-exercise", "n_clicks"),
+    dash.dependencies.State("exercises", "children"),
+)
+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))
+    new_exercise = html.Div(
+        children=[
+            html.Div(
+                children=[
+                    dcc.Input(
+                        id={"type": "exercice", "index": str(n_clicks)},
+                        type="text",
+                        value=f"Exercice {len(children)+1}",
+                        placeholder="Nom de l'exercice",
+                        className="exercise-name",
+                    ),
+                    html.Button(
+                        "X",
+                        id={"type": "rm_exercice", "index": str(n_clicks)},
+                        className="delete-exercise",
+                    ),
+                ],
+                className="exercise-head",
+            ),
+            dash_table.DataTable(
+                id={"type": "elements", "index": str(n_clicks)},
+                columns=QUESTION_COLUMNS,
+                data=element_table.to_dict("records"),
+                editable=True,
+                row_deletable=True,
+                dropdown={
+                    "Competence": {
+                        "options": [
+                            {"label": i, "value": i} for i in config["competences"]
+                        ]
+                    },
+                },
+                style_cell={
+                    "whiteSpace": "normal",
+                    "height": "auto",
+                },
+            ),
+            html.Button(
+                "Ajouter un élément de notation",
+                id={"type": "add-element", "index": str(n_clicks)},
+                className="add-element",
+            ),
+        ],
+        className="exercise",
+        id=f"exercise-{n_clicks}",
+    )
+    children.append(new_exercise)
+    return children
+
+
+@app.callback(
+    dash.dependencies.Output(
+        {"type": "elements", "index": dash.dependencies.MATCH}, "data"
+    ),
+    dash.dependencies.Input(
+        {"type": "add-element", "index": dash.dependencies.MATCH}, "n_clicks"
+    ),
+    [
+        dash.dependencies.State(
+            {"type": "elements", "index": dash.dependencies.MATCH}, "data"
+        ),
+    ],
+    prevent_initial_call=True,
+)
+def add_element(n_clicks, elements):
+    if n_clicks is None or n_clicks < len(elements):
+        return elements
+
+    df = pd.DataFrame.from_records(elements)
+    df = df.append(pd.Series(name=n_clicks))
+    return df.to_dict("records")
+
+
+def exam_generalities(tribe, exam_name, date, term, exercices=[], elements=[]):
+    return [
+        html.H1(f"{exam_name} pour les {tribe}"),
+        html.P(f"Fait le {date} (Trimestre {term})"),
+    ]
+
+
+def exercise_summary(identifier, name, elements=[]):
+    df = pd.DataFrame.from_records(elements)
+    return html.Div(
+        [
+            html.H2(name),
+            dash_table.DataTable(
+                columns=[{"id": c, "name": c} for c in df], data=elements
+            ),
+        ]
+    )
+
+
+@app.callback(
+    dash.dependencies.Output("exam_store", "data"),
+    [
+        dash.dependencies.Input("tribe", "value"),
+        dash.dependencies.Input("exam_name", "value"),
+        dash.dependencies.Input("date", "date"),
+        dash.dependencies.Input("term", "value"),
+        dash.dependencies.Input(
+            {"type": "exercice", "index": dash.dependencies.ALL}, "value"
+        ),
+        dash.dependencies.Input(
+            {"type": "elements", "index": dash.dependencies.ALL}, "data"
+        ),
+    ],
+    dash.dependencies.State({"type": "elements", "index": dash.dependencies.ALL}, "id"),
+)
+def store_exam(tribe, exam_name, date, term, exercices, elements, elements_id):
+    exam = Exam(exam_name, tribe, date, term)
+    for (i, name) in enumerate(exercices):
+        ex_elements_id = [el for el in elements_id if el["index"] == str(i + 1)][0]
+        index = elements_id.index(ex_elements_id)
+        ex_elements = elements[index]
+        exam.add_exercise(name, ex_elements)
+
+    print(yaml.dump(exam.to_dict()))
+    return exam.to_dict()
+
+
+@app.callback(
+    dash.dependencies.Output("is-saved", "children"),
+    dash.dependencies.Input("save-csv", "n_clicks"),
+    dash.dependencies.State("exam_store", "data"),
+    prevent_initial_call=True,
+)
+def save_to_csv(n_clicks, data):
+    exam = Exam(**data)
+    csv = exam.path(".csv")
+    exam.write_csv()
+    return [f"Dernière sauvegarde {datetime.today()} dans {csv}"]

recopytex/dashboard/exam_analysis/app.py

@@ -15,7 +15,7 @@ import numpy as np
 
 from ... import flat_df_students, pp_q_scores
 from ...config import NO_ST_COLUMNS
-from ...scripts.getconfig import config, CONFIGPATH
+from ...scripts.getconfig import config
 from ..app import app
 
 COLORS = {

recopytex/dashboard/index.py

@@ -4,6 +4,7 @@ from dash.dependencies import Input, Output
 
 from .app import app
 from .exam_analysis import app as exam_analysis
+from .create_exam import app as create_exam
 
 
 app.layout = html.Div(
@@ -15,6 +16,8 @@ app.layout = html.Div(
 def display_page(pathname):
     if pathname == "/":
         return exam_analysis.layout
+    elif pathname == "/create-exam":
+        return create_exam.layout
     else:
         return "404"
 

recopytex/scripts/exam.py

@@ -4,22 +4,36 @@
 from datetime import datetime
 from pathlib import Path
 from prompt_toolkit import HTML
+from ..config import NO_ST_COLUMNS
+import pandas as pd
 import yaml
 from .getconfig import config
 
 
+def try_parsing_date(text, formats=["%Y-%m-%d", "%Y.%m.%d", "%Y/%m/%d"]):
+    for fmt in formats:
+        try:
+            return datetime.strptime(text[:10], fmt)
+        except ValueError:
+            pass
+    raise ValueError("no valid date format found")
+
+
 class Exam:
     def __init__(self, name, tribename, date, term, **kwrds):
         self._name = name
         self._tribename = tribename
-        try:
+
-            self._date = datetime.strptime(date, "%y%m%d")
+        self._date = try_parsing_date(date)
-        except:
-            self._date = date
 
         self._term = term
 
+        try:
+            kwrds["exercices"]
+        except KeyError:
             self._exercises = {}
+        else:
+            self._exercises = kwrds["exercices"]
 
     @property
     def name(self):
@@ -125,8 +139,21 @@ class Exam:
     def display(self, name):
         pass
 
-    def write(self):
+    def write_yaml(self):
         print(f"Sauvegarde temporaire dans {self.path('.yml')}")
         self.tribe_path.mkdir(exist_ok=True)
         with open(self.path(".yml"), "w") as f:
             f.write(yaml.dump(self.to_dict()))
+
+    def write_csv(self):
+        rows = self.to_row()
+
+        base_df = pd.DataFrame.from_dict(rows)[NO_ST_COLUMNS.keys()]
+        base_df.rename(columns=NO_ST_COLUMNS, inplace=True)
+
+        students = pd.read_csv(self.tribe_student_path)["Nom"]
+        for student in students:
+            base_df[student] = ""
+
+        self.tribe_path.mkdir(exist_ok=True)
+        base_df.to_csv(self.path(".csv"), index=False)