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6
example/recoconfig.yml
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@ -4,9 +4,9 @@ output: ./
templates: templates/
competences:
Chercher:
name: Chercher
abrv: Cher
Calculer:
name: Calculer
abrv: Cal
Représenter:
name: Représenter
abrv: Rep

0
recopytex/dashboard/create_exam/__init__.py
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269
recopytex/dashboard/create_exam/app.py
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@ -1,269 +0,0 @@
#!/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}"]

2
recopytex/dashboard/exam_analysis/app.py
View File

@ -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
from ...scripts.getconfig import config, CONFIGPATH
from ..app import app
COLORS = {

3
recopytex/dashboard/index.py
View File

@ -4,7 +4,6 @@ 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(
@ -16,8 +15,6 @@ 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"

37
recopytex/scripts/exam.py
View File

@ -4,36 +4,22 @@
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
self._date = try_parsing_date(date)
try:
self._date = datetime.strptime(date, "%y%m%d")
except:
self._date = date
self._term = term
try:
kwrds["exercices"]
except KeyError:
self._exercises = {}
else:
self._exercises = kwrds["exercices"]
@property
def name(self):
@ -139,21 +125,8 @@ class Exam:
def display(self, name):
pass
def write_yaml(self):
def write(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)