- Replace instance.textMessage() with sendMessageWhatsApp() method
- Enable message splitting by double line breaks (\n\n)
- Add proper delay and typing indicators between split messages
- Fix linkPreview parameter passing to base class methods
- Support linkPreview: false/true from webhook response
- Remove unnecessary debug logs for cleaner output
Fixes: EvolutionBot was not respecting splitMessages and linkPreview configurations
- Update ESLint configuration to set `@typescript-eslint/no-unused-vars` from 'warn' to 'error' for stricter linting.
- Refactor error handling in various services to omit error variable in catch blocks for cleaner code.
This commit enhances the N8n integration by refining session management and validation logic. Key changes include:
- Added error handling for session creation failures in the BaseChatbotService.
- Removed unused methods and properties in N8nService and N8nDto to streamline the codebase.
- Updated N8n schema to enforce required fields and improve validation checks.
- Simplified message processing logic to utilize base class methods, enhancing maintainability.
These improvements contribute to a more robust and efficient N8n integration.
Corrige o problema onde o Evolution Bot reativava automaticamente por qualquer mensagem do usuario quando a sessão estava pausada. Agora, quando uma sessão está pausada, o bot ignora completamente as mensagens recebidas até que a sessão seja explicitamente reativada.
- Updated various chatbot services (Typebot, Dify, EvolutionBot, Flowise, N8n) to include the OpenAI service for audio transcription capabilities.
- Modified constructors to accept OpenaiService as a dependency, enhancing the ability to transcribe audio messages directly within each service.
- Refactored the handling of `keywordFinish` in multiple controllers and services, changing its type from an array to a string for consistency and simplifying logic.
- Removed redundant audio transcription logic from the base service, centralizing it within the OpenAI service to improve maintainability and reduce code duplication.
This commit focuses on enhancing the chatbot services by integrating OpenAI's transcription capabilities, improving code structure, and ensuring consistent handling of session keywords.
- Added new environment variables for SSL configuration, including `SSL_CONF_PRIVKEY` and `SSL_CONF_FULLCHAIN`, to support secure connections.
- Introduced additional webhook configuration options in the `.env.example` file, such as `WEBHOOK_REQUEST_TIMEOUT_MS`, `WEBHOOK_RETRY_MAX_ATTEMPTS`, and related retry settings to improve webhook resilience and error handling.
- Updated the `bootstrap` function in `main.ts` to handle SSL certificate loading failures gracefully, falling back to HTTP if necessary.
- Enhanced error handling and logging in the `BusinessStartupService` to ensure better traceability and robustness when processing messages.
This commit focuses on improving the security and reliability of webhook interactions while ensuring that the application can handle SSL configurations effectively.
- Changed the type of `keywordFinish` from an array to a string in multiple DTOs and controller interfaces to simplify data handling.
- Updated the `BaseChatbotService` to include logic for updating session status to 'opened' and managing user responses more effectively.
- Refactored the media message handling in the `BaseChatbotService` to streamline the process and improve readability.
- Enhanced error logging across various services to ensure better traceability during operations.
This commit focuses on improving the structure and consistency of chatbot integrations while ensuring that session management is robust and user-friendly.
- Updated OpenaiService and related classes to enhance the initialization process by ensuring the correct order of parameters.
- Simplified audio message handling by consolidating transcription logic and improving error handling.
- Refactored the OpenaiController to utilize the new structure, ensuring better integration with the base chatbot framework.
- Enhanced logging for better traceability during audio processing and API interactions.
- Introduced a base structure for chatbot integrations, including BaseChatbotController and BaseChatbotService.
- Added common DTOs for chatbot settings and data to streamline integration processes.
- Updated existing chatbot controllers (Dify, Evoai, N8n) to extend from the new base classes, improving code reusability and maintainability.
- Enhanced media message handling across integrations, including audio transcription capabilities using OpenAI's Whisper API.
- Refactored service methods to accommodate new message structures and improve error handling.