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ff94470fb4
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3250a600c9
@ -19,12 +19,6 @@ main {
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margin: auto;
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margin: auto;
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}
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}
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section {
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margin-top: 20px;
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margin-bottom: 20px;
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}
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/* Exam analysis */
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/* Exam analysis */
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#select {
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#select {
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@ -5,7 +5,6 @@ import dash
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import dash_html_components as html
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import dash_html_components as html
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import dash_core_components as dcc
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import dash_core_components as dcc
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import dash_table
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import dash_table
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import plotly.graph_objects as go
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from datetime import date, datetime
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from datetime import date, datetime
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import uuid
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import uuid
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import pandas as pd
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import pandas as pd
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@ -56,8 +55,6 @@ layout = html.Div(
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],
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],
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),
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),
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html.Main(
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html.Main(
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children=[
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html.Section(
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children=[
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children=[
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html.Form(
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html.Form(
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id="new-exam",
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id="new-exam",
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@ -110,11 +107,6 @@ layout = html.Div(
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),
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),
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],
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],
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),
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),
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],
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id="form",
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),
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html.Section(
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children=[
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html.Div(
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html.Div(
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id="exercises",
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id="exercises",
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children=[],
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children=[],
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@ -127,26 +119,6 @@ layout = html.Div(
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html.Div(
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html.Div(
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id="summary",
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id="summary",
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),
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),
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],
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id="exercises",
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),
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html.Section(
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children=[
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html.Div(
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id="score_rate",
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),
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html.Div(
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id="exercises-viz",
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),
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html.Div(
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id="competences-viz",
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),
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html.Div(
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id="themes-viz",
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),
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],
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id="visualisation",
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),
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]
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]
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),
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),
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dcc.Store(id="exam_store"),
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dcc.Store(id="exam_store"),
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@ -307,41 +279,6 @@ def store_exam(tribe, exam_name, date, term, exercices, elements, elements_id):
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return exam.to_dict()
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return exam.to_dict()
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@app.callback(
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dash.dependencies.Output("score_rate", "children"),
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dash.dependencies.Input("exam_store", "data"),
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prevent_initial_call=True,
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)
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def score_rate(data):
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exam = Exam(**data)
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return [html.P(f"Barème /{exam.score_rate}")]
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@app.callback(
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dash.dependencies.Output("competences-viz", "figure"),
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dash.dependencies.Input("exam_store", "data"),
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prevent_initial_call=True,
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)
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def competences_viz(data):
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exam = Exam(**data)
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return [html.P(str(exam.competences_rate))]
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@app.callback(
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dash.dependencies.Output("themes-viz", "children"),
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dash.dependencies.Input("exam_store", "data"),
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prevent_initial_call=True,
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)
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def themes_viz(data):
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exam = Exam(**data)
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themes_rate = exam.themes_rate
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fig = go.Figure()
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if themes_rate:
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fig.add_trace(go.Pie(labels=list(themes_rate.keys()), values=list(themes_rate.values())))
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return [dcc.Graph(figure=fig)]
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return []
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@app.callback(
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@app.callback(
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dash.dependencies.Output("is-saved", "children"),
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dash.dependencies.Output("is-saved", "children"),
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dash.dependencies.Input("save-csv", "n_clicks"),
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dash.dependencies.Input("save-csv", "n_clicks"),
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@ -157,46 +157,3 @@ class Exam:
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self.tribe_path.mkdir(exist_ok=True)
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self.tribe_path.mkdir(exist_ok=True)
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base_df.to_csv(self.path(".csv"), index=False)
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base_df.to_csv(self.path(".csv"), index=False)
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@property
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def score_rate(self):
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total = 0
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for ex, questions in self._exercises.items():
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total += sum([q["score_rate"] for q in questions])
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return total
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@property
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def competences_rate(self):
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""" Dictionnary with competences as key and total rate as value"""
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rates = {}
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for ex, questions in self._exercises.items():
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for q in questions:
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try:
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q["competence"]
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except KeyError:
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pass
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else:
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try:
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rates[q["competence"]] += q["score_rate"]
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except KeyError:
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rates[q["competence"]] = q["score_rate"]
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return rates
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@property
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def themes_rate(self):
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""" Dictionnary with themes as key and total rate as value"""
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rates = {}
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for ex, questions in self._exercises.items():
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for q in questions:
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try:
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q["theme"]
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except KeyError:
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pass
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else:
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if q["theme"]:
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try:
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rates[q["theme"]] += q["score_rate"]
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except KeyError:
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rates[q["theme"]] = q["score_rate"]
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return rates
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@ -88,7 +88,7 @@ def new_exam():
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@cli.command()
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@cli.command()
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@click.option("--debug", default=0, help="Debug mode for dash")
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@click.option("--debug", default=0, help="Debug mode for dash")
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def dashboard(debug):
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def exam_analysis(debug):
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dash.run_server(debug=bool(debug))
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dash.run_server(debug=bool(debug))
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