src/app.py - master - dems712/your-learning-dashboard

src/app.py
55 строк2 KB
dems712
update src/app.py
18 янв 2026, 12:53
18 янв 2026, 12:5352f3bdf
import streamlit as st
import pandas as pd
import plotly.express as px
from src.data_processor import load_student_data, calculate_metrics
from src.visualizations import create_score_distribution, create_engagement_heatmap

def main():
    st.set_page_config(page_title="Learning Dashboard", layout="wide")
    st.title("📊 Learning Analytics Dashboard")
    
    # Загрузка данных
    df = load_student_data("data/raw/sample.csv")
    
    # Фильтры в сайдбаре
    with st.sidebar:
        st.header("Фильтры")
        selected_course = st.selectbox("Курс", ["Все"] + list(df['course'].unique()))
        date_range = st.date_input("Диапазон дат", 
                                  [df['date'].min(), df['date'].max()])
    
    # Применение фильтров
    if selected_course != "Все":
        filtered_df = df[df['course'] == selected_course]
    else:
        filtered_df = df
    
    filtered_df = filtered_df[filtered_df['date'].between(pd.Timestamp(date_range[0]), 
                                                         pd.Timestamp(date_range[1]))]
    
    # Показ метрик
    metrics = calculate_metrics(filtered_df)
    col1, col2, col3, col4 = st.columns(4)
    col1.metric("Студентов", metrics['total_students'])
    col2.metric("Средний балл", f"{metrics['average_score']:.1f}")
    col3.metric("Прохождение", f"{metrics['completion_rate']:.1f}%")
    col4.metric("Лучший", metrics['top_performer'][:15])
    
    # Визуализации
    tab1, tab2 = st.tabs(["Распределение оценок", "Активность"])
    
    with tab1:
        fig = create_score_distribution(filtered_df, 
                                       selected_course if selected_course != "Все" else None)
        st.plotly_chart(fig, use_container_width=True)
    
    with tab2:
        fig = create_engagement_heatmap(filtered_df)
        st.plotly_chart(fig, use_container_width=True)
    
    # Сырые данные
    with st.expander("Просмотр данных"):
        st.dataframe(filtered_df)

if __name__ == "__main__":
    main()