daily-journal-prompt/AGENTS.md

Task: Combine pool and history stats into a single function and single menu item

Changes Made

1. Created New Combined Stats Function

• Added show_combined_stats() method to JournalPromptGenerator class
• Combines both pool statistics and history statistics into a single function
• Displays two tables: "Prompt Pool Statistics" and "Prompt History Statistics"

2. Updated Interactive Menu

• Changed menu from 5 options to 4 options:
  • 1. Draw prompts from pool (no API call)
  • 2. Fill prompt pool using API
  • 3. View combined statistics (replaces separate pool and history stats)
  • 4. Exit
• Updated menu handling logic to use the new combined stats function

3. Updated Command-Line Arguments

• Removed --pool-stats argument
• Updated --stats argument description to "Show combined statistics (pool and history)"
• Updated main function logic to use show_combined_stats() instead of separate functions

4. Removed Old Stats Functions

• Removed show_pool_stats() method
• Removed show_history_stats() method
• All functionality consolidated into show_combined_stats()

5. Code Cleanup

• Removed unused imports and references to old stats functions
• Ensured all menu options work correctly with the new combined stats

Testing

• Verified --stats command-line argument works correctly
• Tested interactive mode shows updated menu
• Confirmed combined stats display both pool and history information
• Tested default mode (draw from pool) still works
• Verified fill-pool option starts correctly

Result

Successfully combined pool and history statistics into a single function and single menu item, simplifying the user interface while maintaining all functionality.

---

Task: Implement theme feedback words functionality with new menu item

Changes Made

1. Added New Theme Feedback Words API Call

• Created generate_theme_feedback_words() method that:
  • Loads ds_feedback.txt prompt template
  • Sends historic prompts to AI API for analysis
  • Receives 6 theme words as JSON response
  • Parses and validates the response

2. Added User Rating System

• Created collect_feedback_ratings() method that:
  • Presents each of the 6 theme words to the user
  • Collects ratings from 0-6 for each word
  • Creates structured feedback items with keys (feedback00-feedback05)
  • Includes weight values based on user ratings

3. Added Feedback Words Update System

• Created update_feedback_words() method that:
  • Replaces existing feedback words with new ratings
  • Saves updated feedback words to feedback_words.json
  • Maintains the required JSON structure

4. Updated Interactive Menu

• Expanded menu from 4 options to 5 options:
  • 1. Draw prompts from pool (no API call)
  • 2. Fill prompt pool using API
  • 3. View combined statistics
  • 4. Generate and rate theme feedback words (NEW)
  • 5. Exit
• Added complete implementation for option 4

5. Enhanced Data Handling

• Added _save_feedback_words() method for saving feedback data
• Updated _load_feedback_words() to handle JSON structure properly
• Ensured feedback words are included in AI prompts when generating new prompts

Testing

• Verified all new methods exist and have correct signatures
• Confirmed ds_feedback.txt file exists and is readable
• Tested feedback words JSON structure validation
• Verified interactive menu displays new option correctly
• Confirmed existing functionality remains intact

Result

Successfully implemented a new menu item and functionality for generating theme feedback words. The system now:

1. Makes an API call with historic prompts and ds_feedback.txt template
2. Receives 6 theme words from the AI
3. Collects user ratings (0-6) for each word
4. Updates feedback_words.json with the new ratings
5. Integrates the feedback into future prompt generation

The implementation maintains backward compatibility while adding valuable feedback functionality to improve prompt generation quality over time.