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import streamlit as st
from collections import defaultdict
from datetime import datetime
def calculate_average(grades):
total_points, total_coefficients = 0, 0
for grade in grades:
try:
if grade.grade.lower() != 'absent':
numeric_grade = float(grade.grade)
grade_out_of = float(grade.out_of)
coefficient = float(grade.coefficient)
normalized_grade = (numeric_grade / grade_out_of) * 20
total_points += normalized_grade * coefficient
total_coefficients += coefficient
except ValueError:
continue
return total_points / total_coefficients if total_coefficients > 0 else "Aucune Note"
def app(client):
st.title('📝 Notes')
selected_period = st.selectbox("🧷 Sélectionner la période", ["Trimestre 1", "Trimestre 2", "Trimestre 3", "Année"])
if selected_period == "Année":
periods_to_display = client.periods
else:
periods_to_display = [period for period in client.periods if period.name == selected_period]
tab_labels = sorted({grade.subject.name for period in periods_to_display for grade in period.grades})
tabs = st.tabs(tab_labels)
for tab, subject in zip(tabs, tab_labels):
with tab:
for period in periods_to_display:
grades_by_subject = defaultdict(list)
for grade in period.grades:
grades_by_subject[grade.subject.name].append(grade)
if subject in grades_by_subject:
for grade in grades_by_subject[subject]:
with st.expander(f"📝 {grade.grade}/{grade.out_of} | {'📎 ' + grade.comment if grade.comment else 'Et voilà, ça ne donne pas de nom !'} (📅 {grade.date.strftime('%d/%m/%Y')})"):
# Display grade information using structured layout
st.markdown("### Informations Générales")
st.write(f"**Commentaire**: {grade.comment if grade.comment else 'Pas de commentaire'}")
col1, col2 = st.columns(2)
with col1:
st.metric(label="Date", value=grade.date.strftime("%d/%m/%Y"))
with col2:
st.metric(label="Coefficient", value=str(grade.coefficient))
st.markdown("---")
st.markdown("### Note")
col1, col2, col3, col4 = st.columns(4)
with col1:
st.metric(label="Note de l'Élève", value=f"{grade.grade}/{grade.out_of}")
with col2:
st.metric(label="Moyenne de la Classe", value=f"{grade.average}/{grade.out_of}")
with col3:
st.metric(label="Minimum", value=f"{grade.min}/{grade.out_of}")
with col4:
st.metric(label="Maximum", value=f"{grade.max}/{grade.out_of}")
all_grades = [grade for period in periods_to_display for grade in period.grades]
overall_average = calculate_average(all_grades)
st.subheader("⭐ Moyenne Générale")
if isinstance(overall_average, str):
st.write(overall_average)
else:
col1, col2 = st.columns(2)
with col1:
st.metric(label="Élève", value=f"{overall_average:.2f}/20")
with col2:
st.metric(label="Classe", value=f"NaN/20") |