filename tweaks

README.md

@@ -67,8 +67,8 @@ daily-journal-prompt/
 ├── test_project.py          # Test suite for the project
 ├── requirements.txt         # Python dependencies
 ├── ds_prompt.txt            # AI prompt template for generating journal prompts
-├── historic_prompts.json    # History of previous 60 prompts (JSON format)
-├── pool_prompts.json        # Pool of available prompts for selection (JSON format)
+├── prompts_historic.json    # History of previous 60 prompts (JSON format)
+├── prompts_pool.json        # Pool of available prompts for selection (JSON format)
 ├── example.env              # Example environment configuration
 ├── .env                     # Your actual environment configuration (gitignored)
 ├── settings.cfg            # Configuration file for prompt settings and pool size
@@ -83,8 +83,8 @@ daily-journal-prompt/
 - **test_project.py**: Test suite to verify project setup
 - **requirements.txt**: Python dependencies (openai, python-dotenv, rich)
 - **ds_prompt.txt**: The core prompt template that instructs the AI to generate new journal prompts
-- **historic_prompts.json**: JSON array containing the last 60 generated prompts (cyclic buffer)
-- **pool_prompts.json**: JSON array containing the pool of available prompts for selection
+- **prompts_historic.json**: JSON array containing the last 60 generated prompts (cyclic buffer)
+- **prompts_pool.json**: JSON array containing the pool of available prompts for selection
 - **example.env**: Template for your environment configuration
 - **.env**: Your actual environment variables (not tracked in git for security)
 - **settings.cfg**: Configuration file for prompt settings (length, count) and pool size
@@ -185,19 +185,19 @@ python generate_prompts.py --help
 
 1. User chooses to fill the prompt pool.
 2. The system reads the template from `ds_prompt.txt`
-3. It loads the previous 60 prompts from the fixed length cyclic buffer `historic_prompts.json`
+3. It loads the previous 60 prompts from the fixed length cyclic buffer `prompts_historic.json`
 4. The AI generates some number of new prompts, attempting to minimize repetition
 5. The new prompts are used to fill the prompt pool to the `settings.cfg` configured value.
 
 ### Prompt Selection Process
 
 1. A `settings.cfg` configurable number of prompts are drawn from the prompt pool and displayed to the user.
-2. User selects one prompt for his/her journal writing session, which is added to the `historic_prompts.json` cyclic buffer.
+2. User selects one prompt for his/her journal writing session, which is added to the `prompts_historic.json` cyclic buffer.
 3. All prompts which were displayed are removed from the prompt pool permanently.
 
 ## 📝 Prompt Examples
 
-The tool generates prompts like these (from `historic_prompts.json`):
+The tool generates prompts like these (from `prompts_historic.json`):
 
 - **Memory-based**: "Describe a memory you have that is tied to a specific smell..."
 - **Creative Writing**: "Invent a mythological creature for a modern urban setting..."
@@ -234,7 +234,7 @@ You can modify `ds_prompt.txt` to change the prompt generation parameters:
 
 ## 🔄 Maintaining Prompt History
 
-The `historic_prompts.json` file maintains a rolling history of the last 60 prompts. This helps:
+The `prompts_historic.json` file maintains a rolling history of the last 60 prompts. This helps:
 
 1. **Avoid repetition**: The AI references previous prompts to generate new, diverse topics
 2. **Track usage**: See what types of prompts have been generated