Architectural Design of Message Processing
Omni-Bot-SDK-OSS uses database listening as the core mechanism of message processing. When the visual recognition system captures a WeChat message, it will automatically store the parsing result into a preset database (supporting MySQL or SQLite). The framework continuously listens to database changes, and is able to acquire new messages in real time and trigger subsequent processing processes. This design decouples message capture and processing, improving system reliability and processing efficiency.
Technical realization features
- Supports multiple database types and adapts to different deployment environments
- Message queue management ensures processing order and reliability
- Fault-tolerance mechanism to handle abnormal situations such as network outages
Database connection parameters are configured in config.yaml, including address, port, authentication information and other necessary parameters. Developers can access the raw message data directly through SQL queries, providing possibilities for advanced analysis.
This answer comes from the articleOmni-Bot-SDK-OSS: A Visual Recognition-based Automation Framework for WeChat RPAThe
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