This commit introduces several architectural improvements and optimizations across the codebase:
- **Performance & Reliability**:
- Implemented Redis pipelining in `ConversationCache.CacheMessage` to reduce network round-trips.
- Added a circuit breaker to the JPush client to prevent cascading failures.
- Introduced batch deletion and batch member addition capabilities in repositories.
- Added message idempotency support using `client_msg_id` and a Redis-based cache.
- Optimized WebSocket handling with connection limits (total and per-user) and improved error logging.
- **Code Refactoring**:
- Refactored `Router` to use a `RouterDeps` struct, simplifying the constructor and improving maintainability.
- Unified model ID generation logic using new `id_helper.go` (supporting UUID and Snowflake).
- Standardized JSON serialization/deserialization in models using `json_helper.go`.
- Refactored DTO conversion logic, specifically for `UserResponse` (using functional options) and `Report` responses.
- Removed redundant/deprecated DTOs like `PostDetailResponse` and `TradeItemDetailResponse`.
- **Cache Improvements**:
- Enhanced `LayeredCache` with `SetRaw` to avoid double-encoding when promoting values from Redis to local cache.
- Added `DeleteBatch` support to the cache interface.
- **Other Changes**:
- Cleaned up `config.go` by removing redundant default values and explicit environment variable overrides.
- Improved WebSocket registration flow to handle connection limits gracefully.
The Go module name has been changed from `carrot_bbs` to `with_you`, which requires
all import paths to be updated throughout the codebase and by external consumers.
BREAKING CHANGE: Module name changed from carrot_bbs to with_you. All imports
and dependencies must be updated from carrot_bbs/* to with_you/*.
- Removed unused time imports from report DTO and service files.
- Updated import paths for response handling in admin and general report handlers.
- Refactored logging methods in admin and report services to use a unified operation logging approach.
- Introduced helper functions for extracting text from message segments and converting user models to brief report information.
