user_help

# Importing necessary libraries
import datetime

# Function to assess user's knowledge
def assess_knowledge():
    print("Welcome to Python Knowledge Assessment!")
    score = 0

    # Questions to assess knowledge
    questions = [
        ("Do you know how to define functions in Python?", "yes"),
        ("Have you worked with loops (for, while) in Python?", "yes"),
        ("Do you know about object-oriented programming (OOP) in Python?", "yes"),
        ("Have you used libraries like NumPy, Pandas, or Matplotlib?", "yes"),
        ("Do you understand Python decorators and generators?", "yes"),
        ("Are you familiar with web development frameworks (Django/Flask)?", "yes"),
        ("Have you worked with databases and Python (SQLAlchemy, SQLite)?", "yes")
    ]

    # Loop through questions
    for question, correct_answer in questions:
        user_answer = input(question + " (yes/no): ").strip().lower()
        if user_answer == correct_answer:
            score += 1

    # Classify user knowledge based on score
    if score <= 2:
        level = "beginner"
    elif 3 <= score <= 5:
        level = "intermediate"
    else:
        level = "advanced"

    return level

# Function to generate learning roadmap
def generate_roadmap(level):
    roadmap = {
        "beginner": [
            "1. Learn Python syntax, data types, and basic I/O.",
            "2. Understand conditionals, loops, and functions.",
            "3. Work with lists, dictionaries, and tuples.",
            "4. Learn how to handle errors using exceptions.",
            "5. Basic file handling (read/write)."
        ],
        "intermediate": [
            "1. Learn Object-Oriented Programming (OOP).",
            "2. Get comfortable with modules and packages.",
            "3. Work with libraries like NumPy, Pandas.",
            "4. Understand list comprehensions and lambda functions.",
            "5. Study error handling, debugging, and testing."
        ],
        "advanced": [
            "1. Master Python decorators and generators.",
            "2. Learn web development with Flask or Django.",
            "3. Explore asynchronous programming (asyncio).",
            "4. Work with databases and ORMs (SQLAlchemy).",
            "5. Learn about performance optimization and scalability."
        ]
    }
    print(f"\nBased on your level, here is your learning roadmap for {level} level:")
    for step in roadmap[level]:
        print(step)

# Function to get user's schedule and generate a timetable
def generate_timetable(level):
    print("\nLet's create a study timetable based on your availability.")

    # Get user input on availability
    days_per_week = int(input("How many days per week can you study? (1-7): "))
    hours_per_day = float(input("How many hours per day can you dedicate to learning Python?: "))

    # Suggested total learning hours for different levels
    learning_hours = {
        "beginner": 40,
        "intermediate": 60,
        "advanced": 80
    }

    total_hours = learning_hours[level]
    total_study_time = days_per_week * hours_per_day
    weeks_needed = total_hours / total_study_time

    # Create a timetable based on user's availability
    print(f"\nYou need approximately {total_hours} hours to complete your {level} roadmap.")
    print(f"Based on your availability, you will need around {round(weeks_needed, 1)} weeks to complete the course.")
    print(f"Suggested timetable: Study {days_per_week} days a week, {hours_per_day} hours per day.")

    # Optional: Display detailed timetable
    start_date = datetime.date.today()
    end_date = start_date + datetime.timedelta(weeks=weeks_needed)
    print(f"\nStart Date: {start_date}")
    print(f"End Date (approx.): {end_date}")


# Main function
def main():
    # Step 1: Assess knowledge level
    level = assess_knowledge()

    # Step 2: Generate learning roadmap based on level
    generate_roadmap(level)

    # Step 3: Create a timetable that suits the user
    generate_timetable(level)

if __name__ == "__main__":
    main()