From 447a878b4ed37178a4b647a831b2df2a4aac293b Mon Sep 17 00:00:00 2001
From: Heiko Joerg Schick <info@schihei.de>
Date: Thu, 22 May 2025 08:50:35 +0200
Subject: [PATCH] Update enhancement prompt to use heading level 2 and add
 improvement recommendations

---
 enhancement_proposals.md | 91 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 enhancement_proposals.md

diff --git a/enhancement_proposals.md b/enhancement_proposals.md
new file mode 100644
index 0000000..4a10e17
--- /dev/null
+++ b/enhancement_proposals.md
@@ -0,0 +1,91 @@
+# mknotes Improvement Recommendations
+
+This document outlines proposed improvements for the mknotes software, grouped by category.
+
+## Feature Enhancements
+
+- **Support for More Audio Formats**
+  - Extend support beyond MP3 and M4A to include formats like WAV, FLAC, OGG, etc.
+  - Update the `find_audio_files` function in `utils.py` to recognise additional extensions.
+
+- **Customizable Enhancement Prompts**
+  - Allow users to provide their own prompts via CLI arguments or configuration files.
+  - Increase flexibility for different use cases (e.g., meeting notes, lectures, interviews).
+
+- **Batch Processing Controls**
+  - Add the ability to limit the number of files processed in one run.
+  - Implement resume functionality for interrupted batch processing.
+
+- **Output Format Options**
+  - Support multiple output formats beyond Markdown (e.g., HTML, PDF, DOCX).
+  - Add options for customizing Markdown styling.
+
+- **Caching Mechanism**
+  - Implement caching for OpenAI API calls to reduce costs and improve performance.
+  - Store intermediate results to avoid reprocessing if enhancement fails.
+
+## Technical Improvements
+
+- **Robust Error Handling and Logging**
+  - Implement a proper logging system instead of print statements.
+  - Add comprehensive error handling with appropriate recovery strategies.
+  - Example: Add retry logic for API calls with exponential backoff.
+
+- **Configuration Management**
+  - Create a configuration system using YAML/JSON files.
+  - Allow users to set default values for all parameters.
+  - Support environment-specific configurations.
+
+- **API Key Management**
+  - Implement a more secure way to handle API keys.
+  - Add support for API key rotation.
+
+- **Performance Optimization**
+  - Implement parallel processing for transcription of multiple files.
+  - Add an option to use local models for offline processing.
+
+- **Testing Framework**
+  - Add unit tests for core functionality.
+  - Implement integration tests for the complete workflow.
+
+## Code Structure Improvements
+
+- **Separation of Concerns**
+  - Move prompts to separate configuration files.
+  - Create a more abstract API client layer.
+
+- **Progress Tracking and Reporting**
+  - Enhance progress reporting beyond simple tqdm bars.
+  - Add detailed statistics about processing time, token usage, etc.
+
+- **Plugin Architecture**
+  - Implement a plugin system to allow for custom transcription or enhancement modules.
+  - Make it easier to switch between different AI models or services.
+
+## User Experience Enhancements
+
+- **Interactive Mode**
+  - Add an interactive mode where users can preview and edit enhanced notes before saving.
+  - Implement a simple TUI (Text User Interface) for a better CLI experience.
+
+- **Web Interface**
+  - Create a simple web interface for users who prefer GUI over CLI.
+  - Consider a lightweight Flask/FastAPI app that wraps the core functionality.
+
+- **Notification System**
+  - Add notifications for long-running processes (email, desktop notifications).
+  - Implement a webhook system for integration with other tools.
+
+## Documentation Improvements
+
+- **Enhanced Documentation**
+  - Create comprehensive documentation with examples and use cases.
+  - Add a troubleshooting guide for common issues.
+
+- **Sample Configurations**
+  - Provide sample configuration files for different use cases.
+  - Include examples of custom prompts for different types of content.
+
+---
+
+These recommendations are intended to guide future development and prioritization for mknotes. Each suggestion can be implemented independently or as part of a broader roadmap.