main_app.py

import sys
import os

# Ensure src is in path
sys.path.append(os.path.join(os.path.dirname(__file__), 'src'))

from src.data.job_fetcher import fetch_job_listings
from src.ai.skill_engine import extract_skills_from_jobs, generate_challenge_prompt
from src.utils.pdf_generator import CaseStudyGenerator

def clear_screen():
    print("\033[H\033[J", end="")

def print_separator():
    print("-" * 60)

def main():
    clear_screen()
    print("============================================================")
    print("   SKILLPROOF: The AI Portfolio Factory (CLI Prototype)")
    print("============================================================")
    print("Target Vertical: Digital Marketing / Content Strategy")
    print("Goal: Turn Job Market Data into a Hirable Asset in < 5 mins.")
    print_separator()

    # Step 1: User Context
    user_name = input("Enter your name: ") or "Candidate One"
    role_query = input("Target Role [default: Digital Marketing Manager]: ") or "Digital Marketing Manager"
    
    # Step 2: Fetch Data
    print_separator()
    input(f"Press Enter to scan the job market for '{role_query}'...")
    raw_jobs = fetch_job_listings(role_query)
    
    # Step 3: Analyze Skills
    skills = extract_skills_from_jobs(raw_jobs)
    print(f"\n[INSIGHT] Top Skill Identified: {skills[0]['skill']} (Frequency: {skills[0]['frequency']})")
    print(f"[INSIGHT] Emerging Tool: {skills[1]['skill']}")
    
    # Step 4: Generate Challenge
    print_separator()
    print("Generating your unique Portfolio Challenge...")
    challenge = generate_challenge_prompt(skills)
    
    print("\n" + "="*20 + " YOUR MISSION " + "="*20)
    print(f"TITLE: {challenge['title']}")
    print(f"SCENARIO: {challenge['scenario']}")
    print("STEPS:")
    for step in challenge['task_steps']:
        print(f"  {step}")
    print("="*54)
    
    # Step 5: The "Sandbox" (User does the work)
    print("\n[SIMULATION] In the real app, you would have 48 hours.")
    print("Right now, type a brief summary of your solution to generate the PDF.")
    print_separator()
    
    user_solution = input("Paste your solution/approach here: ")
    if not user_solution:
        user_solution = "I utilized a chain-of-thought prompting strategy to align the brand voice..."

    # Step 6: Payment Gate (Simulated)
    print("\n[PAYMENT GATE] Generating PDF requires 'Audit & Portfolio' Pass ($49).")
    # input("Press Enter to Simulate Payment...")
    print("[PAYMENT] Payment Authorized.")
    
    # Step 7: Generate PDF
    pdf_data = {
        "title": challenge['title'],
        "user_name": user_name,
        "sections": [
            {
                "heading": "The Market Demand",
                "content": f"This project addresses the critical demand for '{skills[0]['skill']}' found in recent job listings for {role_query}."
            },
            {
                "heading": "The Challenge Scenario",
                "content": challenge['scenario']
            },
            {
                "heading": "Candidate's Solution",
                "content": user_solution
            },
            {
                "heading": "Strategic Outcome",
                "content": "Demonstrated ability to execute high-leverage workflows using modern AI tooling, directly applicable to immediate business needs."
            }
        ]
    }
    
    pdf_filename = f"Portfolio_{user_name.replace(' ', '_')}.pdf"
    gen = CaseStudyGenerator(pdf_filename)
    gen.generate(pdf_data)
    
    print_separator()
    print(f"SUCCESS! Your verifiable portfolio asset is ready: {pdf_filename}")
    print("Attach this to your next application.")
    print("============================================================")

if __name__ == "__main__":
    main()