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Feat: start student_analysis

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Bertrand Benjamin 2021-02-23 16:53:59 +01:00
parent ff94470fb4
commit 1855d4016d
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recopytex/dashboard/student_analysis/__init__.py Normal file
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recopytex/dashboard/student_analysis/app.py Normal file
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#!/usr/bin/env python
# encoding: utf-8
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_table
import plotly.graph_objects as go
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
def get_students(csv):
return list(pd.read_csv(csv).T.to_dict().values())
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"},
]
layout = html.Div(
[
html.Header(
children=[
html.H1("Bilan des élèves"),
],
),
html.Main(
children=[
html.Section(
children=[
html.Form(
id="select-student",
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=[
"Élève",
dcc.Dropdown(
id="student",
options=[
{"label": t["Nom"], "value": t["Nom"]}
for t in get_students(config["tribes"][0]["students"])
],
value=get_students(config["tribes"][0]["students"])[0]["Nom"],
),
]
),
html.Label(
children=[
"Trimestre",
dcc.Dropdown(
id="term",
options=[
{"label": i + 1, "value": i + 1}
for i in range(3)
],
value=1,
),
]
),
],
),
],
id="form",
),
html.Section(
children=[
html.H2("Évaluations"),
html.Div(
id="describe",
),
html.Div(
id="eval-table",
),
],
id="Évaluations",
),
html.Section(
children=[
html.Div(
id="competences-viz",
),
html.Div(
id="themes-viz",
),
],
id="visualisation",
),
]
),
dcc.Store(id="student-scores"),
]
)