Corrige o problema de formatação nas mensagens do N8n onde quebras de linha extras estavam sendo adicionadas antes e depois das mídias (imagens, vídeos, etc). Agora o texto é enviado mantendo apenas as quebras de linha intencionais.
- Integrated OpenAI service into the EvoaiService to streamline audio message transcription.
- Updated the constructor to initialize OpenaiService, allowing for direct transcription of audio messages.
- Refactored audio message handling to utilize the OpenAI service for improved reliability and maintainability.
- Adjusted the processing logic to handle transcription results more effectively, ensuring fallback content is provided when transcription fails.
This commit focuses on enhancing the EvoaiService's capabilities by leveraging OpenAI for audio transcription, improving overall service functionality and code structure.
- 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.
- Adjusted spacing in destructuring assignments for `remoteJid` in multiple locations to enhance code readability and maintain consistency with coding standards.
- Removed unnecessary blank lines to streamline the code structure.
This commit focuses on improving the overall style of the `whatsapp.baileys.service.ts` file without altering any functionality.
- Enhanced the logic for converting media messages to base64 by adding a retry mechanism for downloading media if the initial buffer is not available.
- This change ensures that media messages are reliably converted to base64 format, improving the robustness of media handling in the WhatsApp integration service.
- Updated error logging to capture issues during the media conversion process.
- 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.
- Updated the pushName selection to differentiate between group and individual messages.
- Added conditional logic to display the chat name for group messages and the sender's name for individual messages.
- Created the Evoai and EvoaiSetting tables in the PostgreSQL migration.
- Defined primary keys and added foreign key constraints to link with the Instance table.
- Included unique index on instanceId for EvoaiSetting to ensure data integrity.
- Added support for audio message detection and transcription using OpenAI's Whisper API.
- Integrated media downloading for both audio and image messages, with appropriate error handling.
- Updated logging to redact sensitive information from payloads.
- Modified existing methods to accommodate the new message structure, ensuring seamless integration with EvoAI services.
- Introduced Evoai and EvoaiSetting models in both MySQL and PostgreSQL schemas.
- Implemented EvoaiController and EvoaiService for managing EvoAI bots.
- Created EvoaiRouter for handling API requests related to EvoAI.
- Added DTOs and validation schemas for EvoAI integration.
- Updated server module and chatbot controller to include EvoAI functionality.
- Configured environment settings for EvoAI integration.
- Added a new method `fetchMessages` to retrieve messages based on various query parameters.
- Improved handling of `pushName` for messages, ensuring proper assignment based on participant information.
- Refactored user devices cache initialization for better readability.
- Cleaned up commented-out code related to message recovery.
- Added export for N8n schema in chatbot.schema.ts.
- Improved import order in n8n.dto.ts and n8n.router.ts for better readability.
- Refactored variable declarations in n8n.service.ts for consistency and clarity.
- Introduced N8n and N8nSetting models in both MySQL and PostgreSQL schemas.
- Implemented N8nController and N8nService for managing N8n bots.
- Created N8nRouter for handling API requests related to N8n.
- Added DTOs and validation schemas for N8n integration.
- Updated server module and chatbot controller to include N8n functionality.
- Configured environment settings for N8n integration.
