app.py

import gradio as gr
import pandas as pd
import io
import plotly.express as px
import plotly.graph_objects as go
import os

# Define admin credentials
ADMIN_EMAIL = os.environ["ACCOUNT"]
ADMIN_PASSWORD = os.environ["PASSWORD"]

# Variable to store uploaded grades file in memory
grades_df = None

# Admin login function
def admin_login_function(email, password):
    if (email == ADMIN_EMAIL and password == ADMIN_PASSWORD):
        return gr.update(visible=False), gr.update(visible=True),
    else:
        raise gr.Error("wrong password 💥!", duration=5)


# Intern login function
def intern_login(email):
    results = intern_view(email)
    return gr.update(visible=False), gr.update(visible=True), results[0], results[1]

# Admin upload function
def admin_upload(file):
    global grades_df
    if file is not None:
        grades_df = pd.read_excel(file.name)
        return "File uploaded and processed successfully."
    else:
        return "Please upload a valid Excel file."

# Function to generate performance analysis charts
def performance_analysis():
    if grades_df is not None:
        # Ensure 'Created At' is datetime
        grades_df['Created At'] = pd.to_datetime(grades_df['Created At'])
        grades_df['Date'] = grades_df['Created At'].dt.date

        # Group by date and calculate sum of grades
        daily_performance = grades_df.groupby('Date')['Grade'].sum().reset_index()

        # Line chart for daily performance
        line_chart = px.line(daily_performance, x='Date', y='Grade', title='Daily Performance (Total Grades)')
        
        email_performance = grades_df.groupby('Email')['Grade'].sum().reset_index()
        # Histogram of grades
        histogram = px.histogram(email_performance, x='Grade', nbins=20, title='Grade Distribution')

        # Box plot for grade statistics
        box_plot = px.box(email_performance, y='Grade', title='Grade Statistics')

        # Create a summary table
        summary_stats = email_performance['Grade'].describe().reset_index()
        summary_table = go.Figure(data=[go.Table(
            header=dict(values=['Statistic', 'Value']),
            cells=dict(values=[summary_stats['index'], summary_stats['Grade']])
        )])
        
        return line_chart, histogram, box_plot, summary_table
    else:
        return None, None, None, None

MAX_SCORE = 25*2  # Assuming the maximum possible score is 100

def intern_view(email):
    if grades_df is not None:
        intern_grades = grades_df[grades_df['Email'] == email]
        daily_performance =  intern_grades.groupby('Date')['Grade'].sum().reset_index()
        line_chart = px.line(daily_performance, x='Date', y='Grade', title='Daily Performance (Total Grades)')
        if not intern_grades.empty:
            total_grade = intern_grades['Grade'].sum()
            average_grade = intern_grades['Grade'].mean()
            num_records = intern_grades.shape[0]

            # Normalize the score to MAX_SCORE
            normalized_score = min(total_grade / MAX_SCORE, 1)

            # Determine the color level
            if normalized_score <= 0.8:
                color = "red"
            else:
                color = "green"
# <div style="background-color:{color}; padding:10px; border-radius:5px;">
#     **Performance Level**: {color.capitalize()}
# </div>

# - Quá 3 assignment đạt level đỏ sẽ phải liên hệ manager để giải trình 
            # Return as a Markdown formatted string
            return f"""
### Grade Analysis for {email}

- **Tổng điểm**: {normalized_score}
- **số lần upload**: {num_records}
""", line_chart
        else:
            return gr.Error("No records found for this email. 💥!", duration=5) 
    else:
        return gr.Error("No grades file uploaded. Please contact the admin.", duration=5)

# Create the Gradio interface
with gr.Blocks() as demo:
    with gr.Tab("Admin Login"):
        with gr.Column(visible=True) as admin_login_section:
            admin_email = gr.Textbox(label="Admin Email")
            admin_password = gr.Textbox(label="Admin Password", type="password")
            admin_login_button = gr.Button("Login")
            admin_login_output = gr.Textbox(label="Admin Output")
        
        with gr.Column(visible=False) as admin_upload_section:
            with gr.Column() as update_file_section:
                admin_file = gr.File(label="Upload Grades Excel File")
                admin_submit = gr.Button("Submit")
                admin_file_output = gr.Textbox(label="File Upload Output")
            
            admin_analyze = gr.Button("Analyze")
            admin_charts = gr.Plot()
            admin_histogram = gr.Plot()
            admin_box_plot = gr.Plot()
            admin_summary_table = gr.Plot()

        admin_login_button.click(
            admin_login_function,
            inputs=[admin_email, admin_password],
            outputs=[admin_login_section, admin_upload_section],
            show_progress=True,
        )
        admin_submit.click(
            admin_upload,
            inputs=[admin_file],
            outputs=admin_file_output,
        )
        admin_analyze.click(
            performance_analysis,
            outputs=[admin_charts, admin_histogram, admin_box_plot, admin_summary_table],
        )
    
    with gr.Tab("Intern Login"):
        with gr.Column(visible=True) as intern_login_section:
            intern_email = gr.Textbox(label="Intern Email")
            intern_login_button = gr.Button("Find")
            intern_login_output = gr.Textbox(label="Intern Output")
        
        with gr.Column(visible=False) as intern_info_section:
            intern_output = gr.Markdown(label="Grade Analysis")
            intern_charts = gr.Plot()

        intern_login_button.click(
            intern_login,
            inputs=[intern_email],
            outputs=[intern_login_section, intern_info_section, intern_output, intern_charts],
            show_progress=True,
        )
        
        # intern_submit.click(
        #     intern_view,
        #     inputs=[intern_email],
        #     outputs=intern_output,
        # )

# Launch the app
demo.launch(debug=True)