android-mcp

""" Example Usage of Refactored Services This script demonstrates how to use the individual services independently without the Gradio interface. """ import sys import os # Add the parent directory to the path so we can import our modules sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from services.whisper_service import WhisperService from services.openai_service import OpenAIService from services.file_service import FileService from config.settings import settings def main(): """Demonstrate usage of the refactored services""" print("🎵 Audio Transcription Services Demo") print("=" * 50) # Initialize services whisper_service = WhisperService(model_name="base") openai_service = OpenAIService() file_service = FileService() # Example 1: Check service availability print("\n1. Service Status Check:") print(f" OpenAI Service: {openai_service.get_availability_status()}") # Example 2: File validation print("\n2. File Validation Example:") audio_file = "denver_extract.mp3" # Your existing audio file is_valid, message = file_service.validate_audio_file(audio_file) print(f" File '{audio_file}' validation: {message}") if is_valid: # Get file info file_info = file_service.get_file_info(audio_file) if file_info: print(f" File size: {file_info['size_mb']} MB") print(f" Extension: {file_info['extension']}") # Example 3: Transcription (if file exists) if is_valid: print(f"\n3. Transcription Example:") print(" Starting transcription...") transcription, temp_file = whisper_service.transcribe_audio(audio_file) if temp_file: print(" ✅ Transcription completed successfully!") print(f" Preview: {transcription[:100]}...") print(f" Saved to: {temp_file}") # Example 4: Generate key points (if OpenAI is available) if openai_service.is_available(): print(f"\n4. Key Points Generation:") print(" Generating meeting key points...") key_points = openai_service.generate_meeting_key_points(transcription) print(" ✅ Key points generated!") print(f" Preview: {key_points[:200]}...") # Save key points to file key_points_file = file_service.create_temp_text_file( key_points, suffix='_keypoints.txt' ) if key_points_file: print(f" Key points saved to: {key_points_file}") # Example 4.5: Generate PRD from key points (if PRD feature is enabled) if settings.enable_prd_generation: print(f"\n4.5. PRD Generation:") print(" Generating PRD from key points...") prd_content = openai_service.generate_prd_from_key_points(key_points) if not prd_content.startswith("❌"): print(" ✅ PRD generated successfully!") print(f" Preview: {prd_content[:200]}...") # Create downloadable PRD file prd_file = file_service.create_prd_download_file(prd_content) if prd_file: print(f" PRD saved to: {prd_file}") # Validate PRD content is_valid_prd, validation_message = file_service.validate_prd_content(prd_content) print(f" Validation: {validation_message}") else: print(" ❌ Failed to create PRD file") else: print(f" ❌ PRD generation failed: {prd_content}") else: print(f"\n4.5. PRD Generation:") print(" ❌ PRD generation feature is disabled") print(" To enable: set ENABLE_PRD_GENERATION=true in .env file") else: print(f"\n4. Key Points Generation:") print(" ❌ OpenAI service not available") print(f" Status: {openai_service.get_availability_status()}") else: print(" ❌ Transcription failed") print(f" Error: {transcription}") # Example 5: Custom analysis (if OpenAI is available and we have transcription) if is_valid and openai_service.is_available() and 'transcription' in locals(): print(f"\n5. Custom Analysis Example:") custom_prompt = "Summarize this transcription in 3 bullet points focusing on the main topics discussed." custom_analysis = openai_service.generate_custom_analysis( transcription, custom_prompt ) print(" ✅ Custom analysis completed!") print(f" Result: {custom_analysis[:200]}...") print(f"\n🎉 Demo completed!") print("\nYou can now use these services in your own applications:") print("- WhisperService: For audio transcription") print("- OpenAIService: For AI-powered analysis and PRD generation") print("- FileService: For file operations and PRD file creation") print("- UI Components: For building custom interfaces with PRD support") # Example 6: TRD Generation (if enabled and PRD content is available) if 'prd_content' in locals() and settings.enable_trd_generation: print(f"\n6. TRD Generation Example:") print(" Generating TRD from PRD content...") trd_content = openai_service.generate_android_trd_from_prd(prd_content) if not trd_content.startswith("❌"): print(" ✅ TRD generated successfully!") print(f" Preview: {trd_content[:200]}...") # Create downloadable TRD file trd_file = file_service.create_trd_download_file(trd_content) if trd_file: print(f" TRD saved to: {trd_file}") # Validate TRD content is_valid_trd, validation_message = file_service.validate_trd_content(trd_content) print(f" Validation: {validation_message}") else: print(" ❌ Failed to create TRD file") else: print(f" ❌ TRD generation failed: {trd_content}") if __name__ == "__main__": main()