feedback history and prompt work better

demonstrate_feedback_historic.py

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+#!/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()
+