implemented basic feedback words without finite points or good prompt
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57
AGENTS.md
57
AGENTS.md
@@ -39,3 +39,60 @@
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## Result
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Successfully combined pool and history statistics into a single function and single menu item, simplifying the user interface while maintaining all functionality.
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---
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# Task: Implement theme feedback words functionality with new menu item
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## Changes Made
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### 1. Added New Theme Feedback Words API Call
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- Created `generate_theme_feedback_words()` method that:
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- Loads `ds_feedback.txt` prompt template
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- Sends historic prompts to AI API for analysis
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- Receives 6 theme words as JSON response
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- Parses and validates the response
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### 2. Added User Rating System
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- Created `collect_feedback_ratings()` method that:
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- Presents each of the 6 theme words to the user
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- Collects ratings from 0-6 for each word
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- Creates structured feedback items with keys (feedback00-feedback05)
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- Includes weight values based on user ratings
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### 3. Added Feedback Words Update System
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- Created `update_feedback_words()` method that:
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- Replaces existing feedback words with new ratings
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- Saves updated feedback words to `feedback_words.json`
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- Maintains the required JSON structure
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### 4. Updated Interactive Menu
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- Expanded menu from 4 options to 5 options:
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- 1. Draw prompts from pool (no API call)
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- 2. Fill prompt pool using API
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- 3. View combined statistics
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- 4. Generate and rate theme feedback words (NEW)
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- 5. Exit
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- Added complete implementation for option 4
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### 5. Enhanced Data Handling
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- Added `_save_feedback_words()` method for saving feedback data
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- Updated `_load_feedback_words()` to handle JSON structure properly
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- Ensured feedback words are included in AI prompts when generating new prompts
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## Testing
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- Verified all new methods exist and have correct signatures
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- Confirmed `ds_feedback.txt` file exists and is readable
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- Tested feedback words JSON structure validation
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- Verified interactive menu displays new option correctly
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- Confirmed existing functionality remains intact
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## Result
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Successfully implemented a new menu item and functionality for generating theme feedback words. The system now:
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1. Makes an API call with historic prompts and `ds_feedback.txt` template
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2. Receives 6 theme words from the AI
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3. Collects user ratings (0-6) for each word
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4. Updates `feedback_words.json` with the new ratings
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5. Integrates the feedback into future prompt generation
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The implementation maintains backward compatibility while adding valuable feedback functionality to improve prompt generation quality over time.
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