import streamlit as st
from datetime import datetime, timedelta
import calendar
import pandas as pd

def show():
    # Main Header
    st.title("Your Personalized 12-Week Learning Journey")
    
    # Introduction
    st.info("""
    Welcome to your personalized learning experience! We've designed a comprehensive 12-week program that combines 
    expert instruction, customized content, and dedicated support to ensure your success. Your journey will be 
    guided by a team of professionals committed to your learning goals.
    """)

    # Your Learning Team
    st.subheader("Your Dedicated Learning Team")
    col1, col2, col3 = st.columns(3)
    
    with col1:
        st.markdown("### 👨‍🏫 Personal Instructor")
        st.markdown("""
        - One-on-one guidance
        - Regular check-ins
        - Personalized feedback
        - Progress monitoring
        """)
    
    with col2:
        st.markdown("### 🎨 Learning Designer")
        st.markdown("""
        - Customized curriculum
        - Adaptive content
        - Learning path optimization
        - Resource development
        """)
    
    with col3:
        st.markdown("### 💻 LMS Support")
        st.markdown("""
        - Technical assistance
        - Platform navigation
        - Resource access
        - Progress tracking
        """)

    # 12-Week Program Schedule
    st.subheader("12-Week Program Schedule")
    
    # Get current date
    today = datetime.now()
    # Find the next Monday
    days_until_monday = (7 - today.weekday()) % 7
    start_date = today + timedelta(days=days_until_monday)
    
    # Define the program schedule
    program_schedule = [
        {
            "Week": "Week 1",
            "Session": "Initial Assessment & Goal Setting",
            "Instructor": "Dr. Sarah Chen",
            "Content": "Learning style assessment, goal setting, program overview",
            "Deliverables": "Learning style report, personalized goals document",
            "Support": "One-on-one session, LMS orientation"
        },
        {
            "Week": "Week 2",
            "Session": "Foundation Building",
            "Instructor": "Dr. Sarah Chen",
            "Content": "Core concepts, fundamental principles, basic skills",
            "Deliverables": "Concept map, skill assessment",
            "Support": "Weekly check-in, resource access"
        },
        {
            "Week": "Week 3",
            "Session": "Advanced Concepts I",
            "Instructor": "Prof. James Wilson",
            "Content": "Intermediate topics, case studies, practical examples",
            "Deliverables": "Case study analysis, concept application",
            "Support": "Group discussion, peer review"
        },
        {
            "Week": "Week 4",
            "Session": "Advanced Concepts II",
            "Instructor": "Prof. James Wilson",
            "Content": "Advanced techniques, real-world applications",
            "Deliverables": "Technical documentation, application examples",
            "Support": "Technical support, code review"
        },
        {
            "Week": "Week 5",
            "Session": "Practical Workshop I",
            "Instructor": "Dr. Maria Rodriguez",
            "Content": "Hands-on exercises, group activities, peer learning",
            "Deliverables": "Workshop outcomes, peer feedback",
            "Support": "Workshop materials, group collaboration"
        },
        {
            "Week": "Week 6",
            "Session": "Practical Workshop II",
            "Instructor": "Dr. Maria Rodriguez",
            "Content": "Advanced exercises, problem-solving scenarios",
            "Deliverables": "Problem solutions, implementation plan",
            "Support": "Technical guidance, resource access"
        },
        {
            "Week": "Week 7",
            "Session": "Specialized Topics I",
            "Instructor": "Dr. Sarah Chen",
            "Content": "Industry-specific knowledge, current trends",
            "Deliverables": "Industry analysis, trend report",
            "Support": "Industry expert session, research resources"
        },
        {
            "Week": "Week 8",
            "Session": "Specialized Topics II",
            "Instructor": "Prof. James Wilson",
            "Content": "Advanced industry applications, emerging technologies",
            "Deliverables": "Technology assessment, application proposal",
            "Support": "Technical consultation, resource access"
        },
        {
            "Week": "Week 9",
            "Session": "Project Planning",
            "Instructor": "Dr. Maria Rodriguez",
            "Content": "Project scope definition, resource planning",
            "Deliverables": "Project plan, resource allocation",
            "Support": "Planning tools, template access"
        },
        {
            "Week": "Week 10",
            "Session": "Project Development",
            "Instructor": "Dr. Sarah Chen",
            "Content": "Project implementation, progress review",
            "Deliverables": "Project milestones, progress report",
            "Support": "Development resources, technical support"
        },
        {
            "Week": "Week 11",
            "Session": "Project Refinement",
            "Instructor": "Prof. James Wilson",
            "Content": "Project optimization, feedback integration",
            "Deliverables": "Refined project, feedback report",
            "Support": "Review session, optimization tools"
        },
        {
            "Week": "Week 12",
            "Session": "Final Presentation & Review",
            "Instructor": "All Instructors",
            "Content": "Project presentation, program review, future planning",
            "Deliverables": "Final project, presentation, program evaluation",
            "Support": "Presentation tools, feedback session"
        }
    ]

    # Convert to DataFrame and display
    df = pd.DataFrame(program_schedule)
    st.dataframe(
        df,
        use_container_width=True,
        hide_index=True,
        column_config={
            "Week": st.column_config.TextColumn("Week", width="small"),
            "Session": st.column_config.TextColumn("Session", width="medium"),
            "Instructor": st.column_config.TextColumn("Instructor", width="small"),
            "Content": st.column_config.TextColumn("Content", width="large"),
            "Deliverables": st.column_config.TextColumn("Deliverables", width="medium"),
            "Support": st.column_config.TextColumn("Support", width="medium")
        }
    )

    # Call to Action
    st.info("""
    ### Ready to Begin Your Journey?
    Complete the form below to get started with your personalized learning experience.
    """)

    # Registration Form
    with st.form("registration_form"):
        st.markdown("### Registration Form")
        name = st.text_input("Full Name")
        email = st.text_input("Email Address")
        phone = st.text_input("Phone Number")
        goals = st.text_area("What are your learning goals?")
        experience = st.selectbox("Current Experience Level", 
                                ["Beginner", "Intermediate", "Advanced"])
        preferred_time = st.selectbox("Preferred Learning Time", 
                                    ["Morning", "Afternoon", "Evening"])
        
        submitted = st.form_submit_button("Start My Learning Journey")
        
        if submitted:
            st.success("Thank you for registering! Our team will contact you within 24 hours to begin your personalized learning journey.")