#!/usr/bin/env python3
"""
Demonstration of the feedback_historic.json cyclic buffer system.
"""

import json
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))

from generate_prompts import JournalPromptGenerator

def demonstrate_system():
    """Demonstrate the feedback historic system."""
    print("="*70)
    print("DEMONSTRATION: Feedback Historic Cyclic Buffer System")
    print("="*70)

    # Create a temporary .env file
    with open(".env.demo", "w") as f:
        f.write("DEEPSEEK_API_KEY=demo_key\n")
        f.write("API_BASE_URL=https://api.deepseek.com\n")
        f.write("MODEL=deepseek-chat\n")

    # Initialize generator
    generator = JournalPromptGenerator(config_path=".env.demo")

    print("\n1. Initial state:")
    print(f"   - feedback_words: {len(generator.feedback_words)} items")
    print(f"   - feedback_historic: {len(generator.feedback_historic)} items")

    # Create some sample feedback words
    sample_words_batch1 = [
        {"feedback00": "memory", "weight": 5},
        {"feedback01": "time", "weight": 4},
        {"feedback02": "nature", "weight": 3},
        {"feedback03": "emotion", "weight": 6},
        {"feedback04": "change", "weight": 2},
        {"feedback05": "connection", "weight": 4}
    ]

    print("\n2. Adding first batch of feedback words...")
    generator.update_feedback_words(sample_words_batch1)
    print(f"   - Added 6 feedback words")
    print(f"   - feedback_historic now has: {len(generator.feedback_historic)} items")

    # Show the historic items
    print("\n   Historic feedback words (no weights):")
    for i, item in enumerate(generator.feedback_historic):
        key = list(item.keys())[0]
        print(f"     {key}: {item[key]}")

    # Add second batch
    sample_words_batch2 = [
        {"feedback00": "creativity", "weight": 5},
        {"feedback01": "reflection", "weight": 4},
        {"feedback02": "growth", "weight": 3},
        {"feedback03": "transformation", "weight": 6},
        {"feedback04": "journey", "weight": 2},
        {"feedback05": "discovery", "weight": 4}
    ]

    print("\n3. Adding second batch of feedback words...")
    generator.update_feedback_words(sample_words_batch2)
    print(f"   - Added 6 more feedback words")
    print(f"   - feedback_historic now has: {len(generator.feedback_historic)} items")

    print("\n   Historic feedback words after second batch:")
    print("   (New words at the top, old words shifted down)")
    for i, item in enumerate(generator.feedback_historic[:12]):  # Show first 12
        key = list(item.keys())[0]
        print(f"     {key}: {item[key]}")

    # Demonstrate the cyclic buffer by adding more batches
    print("\n4. Demonstrating cyclic buffer (30 item limit)...")
    print("   Adding 5 more batches (30 more words total)...")

    for batch_num in range(3, 8):
        batch_words = []
        for j in range(6):
            batch_words.append({f"feedback{j:02d}": f"batch{batch_num}_word{j+1}", "weight": 3})
        generator.update_feedback_words(batch_words)

    print(f"   - feedback_historic now has: {len(generator.feedback_historic)} items (max 30)")
    print(f"   - Oldest items have been dropped to maintain 30-item limit")

    # Show the structure
    print("\n5. Checking file structure...")
    if os.path.exists("feedback_historic.json"):
        with open("feedback_historic.json", "r") as f:
            data = json.load(f)
        print(f"   - feedback_historic.json exists with {len(data)} items")
        print(f"   - First item: {data[0]}")
        print(f"   - Last item: {data[-1]}")
        print(f"   - Items have keys (feedback00, feedback01, etc.) but no weights")

    # Clean up
    os.remove(".env.demo")
    if os.path.exists("feedback_words.json"):
        os.remove("feedback_words.json")
    if os.path.exists("feedback_historic.json"):
        os.remove("feedback_historic.json")

    print("\n" + "="*70)
    print("SUMMARY:")
    print("="*70)
    print("✓ feedback_historic.json stores previous feedback words (no weights)")
    print("✓ Maximum of 30 items (feedback00-feedback29)")
    print("✓ When new feedback is generated (6 words):")
    print("  - They become feedback00-feedback05 in the historic buffer")
    print("  - All existing items shift down by 6 positions")
    print("  - Items beyond feedback29 are discarded")
    print("✓ Historic feedback words are included in AI prompts for")
    print("  generate_theme_feedback_words() to avoid repetition")
    print("="*70)

if __name__ == "__main__":
    demonstrate_system()