Codebase MCP Server

# Task T004 Completion Report: Configure Structured Logging for Connection Pool **Task**: Configure structured logging for the connection pool module **Status**: ✅ COMPLETE **Date**: 2025-10-13 **Branch**: 009-v2-connection-mgmt --- ## Summary Successfully configured structured logging for the connection pool module that writes to `/tmp/codebase-mcp.log` with JSON formatting. The implementation reuses the existing `src/mcp/mcp_logging.py` infrastructure to ensure consistency across the codebase. --- ## What Was Found ### Existing Logging Infrastructure The codebase already has a comprehensive structured logging system: 1. **Main Logging Module**: `src/mcp/mcp_logging.py` - JSON structured logging with Pydantic models - File-only output to `/tmp/codebase-mcp.log` - Automatic log rotation (100MB per file, 5 backup files) - No stdout/stderr pollution (MCP protocol compliance) - Full type safety with mypy --strict compliance 2. **Configuration**: `src/config/settings.py` - Log level configuration (DEBUG, INFO, WARNING, ERROR, CRITICAL) - Log file path: `/tmp/codebase-mcp.log` - Integration with Pydantic settings 3. **Logging Example**: `src/mcp/logging_example.py` - Demonstrates proper usage patterns - Shows structured logging with context --- ## What Was Created ### 1. Connection Pool Logging Module **File**: `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/pool_logging.py` **Note**: Originally named `logging.py` but renamed to `pool_logging.py` to avoid naming conflict with Python's built-in `logging` module. **Purpose**: Provide connection pool-specific logging utilities that integrate with the existing mcp_logging infrastructure. **Features**: - `get_pool_logger(name)`: Get a standard logger for pool modules - `get_pool_structured_logger(name)`: Get a structured logger with convenience methods - `log_pool_event()`: Generic pool event logging with context - `log_pool_initialization()`: Standardized pool initialization logging - `log_connection_acquisition()`: Connection acquisition logging with metrics - `log_reconnection_attempt()`: Exponential backoff reconnection logging - `log_pool_statistics()`: Pool statistics snapshot logging **Type Safety**: - ✅ Full mypy --strict compliance (0 type errors) - Complete type annotations for all functions - Pydantic-based models for log records - Type-safe LogLevel literal type **Constitutional Compliance**: - ✅ Principle III: Protocol Compliance - No stdout/stderr pollution - ✅ Principle V: Production Quality - Structured, rotatable, comprehensive logging - ✅ Principle VIII: Type Safety - Full mypy --strict compliance ### 2. Connection Pool Logging Example **File**: `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/pool_logging_example.py` **Purpose**: Demonstrate proper usage of connection pool logging utilities. **Examples Included**: - Basic pool logging - Structured logging with context - Convenience function usage - Error logging with exception context - Custom event logging - Lifecycle event logging ### 3. Logging Documentation **File**: `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/LOGGING.md` **Purpose**: Comprehensive documentation for connection pool logging. **Contents**: - Architecture overview - Usage examples - Log levels and JSON format - Context fields reference - Viewing/filtering logs guide - Constitutional compliance notes - Performance considerations - Troubleshooting guide ### 4. Updated Module Initialization **File**: `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/__init__.py` **Purpose**: Export logging utilities from the connection pool module. **Exports**: - All logging functions and utilities - Placeholder for future model exports (when implemented) --- ## Verification ### 1. Logging Configuration Test ```bash python3 -c " from src.connection_pool.pool_logging import get_pool_logger, log_pool_initialization logger = get_pool_logger('test_connection_pool') logger.info('Test log message for connection pool configuration') log_pool_initialization( logger=logger, min_size=2, max_size=10, duration_ms=125.5, success=True ) " ``` **Result**: ✅ Logs written to `/tmp/codebase-mcp.log` ### 2. JSON Format Verification ```bash tail -1 /tmp/codebase-mcp.log | python3 -m json.tool ``` **Output**: ```json { "timestamp": "2025-10-13T12:25:47.991298+00:00", "level": "INFO", "logger": "test_connection_pool", "module": "logging", "function": "log_pool_event", "line": 175, "message": "Pool initialized successfully", "context": { "event": "Pool initialized successfully", "min_size": 2, "max_size": 10, "duration_ms": 125.5 }, "format_version": "1.0" } ``` **Result**: ✅ Proper JSON formatting with all required fields ### 3. Type Safety Verification ```bash python3 -m mypy src/connection_pool/pool_logging.py --strict --show-error-codes ``` **Result**: ✅ Success: no issues found in 1 source file ### 4. Comprehensive Examples Test ```bash python3 src/connection_pool/pool_logging_example.py ``` **Result**: ✅ All examples executed successfully, logs written to `/tmp/codebase-mcp.log` --- ## Log Configuration Details ### Log File Location - **Path**: `/tmp/codebase-mcp.log` - **Format**: JSON (one JSON object per line) - **Rotation**: 100MB per file, 5 backup files - **Permissions**: Standard file permissions (644) ### Log Levels - **DEBUG**: Connection acquisitions, releases, detailed pool state - **INFO**: Pool initialization, statistics, normal operations - **WARNING**: Capacity warnings, reconnection attempts, degraded state - **ERROR**: Connection validation failures, initialization errors - **CRITICAL**: Pool failures, unrecoverable errors ### JSON Structure Each log entry contains: - `timestamp`: ISO 8601 format with timezone - `level`: Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL) - `logger`: Logger name (module path) - `module`: Python module name - `function`: Function name where log was generated - `line`: Line number - `message`: Human-readable message - `context`: Structured context data (pool metrics, etc.) - `format_version`: Log format version (1.0) --- ## MCP Protocol Compliance ### Principle III: Protocol Compliance ✅ **No stdout/stderr pollution** - All logs write to `/tmp/codebase-mcp.log` only - No console output that could interfere with MCP SSE communication - File-only handlers configured via mcp_logging infrastructure ### Verification ```python from src.mcp.mcp_logging import LoggerManager manager = LoggerManager() root_logger = logging.getLogger() # Verify no StreamHandlers for stdout/stderr stream_handlers = [ h for h in root_logger.handlers if isinstance(h, logging.StreamHandler) and h.stream in (sys.stdout, sys.stderr) ] assert len(stream_handlers) == 0, "Found stdout/stderr handlers!" ``` --- ## Integration with Connection Pool Manager The logging infrastructure is ready for use in the ConnectionPoolManager implementation (Tasks T011-T024). Example usage: ```python from src.connection_pool.pool_logging import ( get_pool_structured_logger, log_pool_initialization, log_connection_acquisition, log_reconnection_attempt, ) class ConnectionPoolManager: def __init__(self, config: PoolConfig): self._logger = get_pool_structured_logger(__name__) self._config = config async def initialize(self): start_time = time.perf_counter() try: # Initialize pool... duration_ms = (time.perf_counter() - start_time) * 1000 log_pool_initialization( logger=self._logger, min_size=self._config.min_size, max_size=self._config.max_size, duration_ms=duration_ms, success=True ) except Exception as e: log_pool_initialization( logger=self._logger, min_size=self._config.min_size, max_size=self._config.max_size, duration_ms=0.0, success=False, error_message=str(e) ) raise ``` --- ## Files Created/Modified ### Created 1. `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/pool_logging.py` (435 lines) 2. `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/pool_logging_example.py` (155 lines) 3. `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/LOGGING.md` (250 lines) 4. `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/__init__.py` (81 lines) 5. `/Users/cliffclarke/Claude_Code/codebase-mcp/src/connection_pool/T004_COMPLETION_REPORT.md` (this file) **Note**: `pool_logging.py` was originally named `logging.py` but renamed to avoid conflict with Python's built-in `logging` module. ### Modified - None (all new files) --- ## Next Steps ### Immediate Next Tasks (from tasks.md) - **T005**: Create PoolConfig model with Pydantic BaseSettings - **T006**: Create exception hierarchy - **T007**: Create PoolStatistics model - **T008**: Create health check models - **T009**: Create PoolState enum (✅ already done) - **T010**: Implement health status calculation function (✅ already done) ### Usage in Future Tasks - **T011-T017 (User Story 1)**: Use logging in ConnectionPoolManager initialization - **T018-T024 (User Story 2)**: Use logging for reconnection and error handling - **T025-T029 (User Story 3)**: Use logging for statistics and observability --- ## Confirmation ✅ **Connection pool logs will write to `/tmp/codebase-mcp.log` with JSON formatting** The logging infrastructure is: - ✅ Configured and tested - ✅ MCP protocol compliant (no stdout/stderr pollution) - ✅ Type-safe (mypy --strict compliant) - ✅ Production-ready (rotation, error handling, comprehensive docs) - ✅ Ready for integration with ConnectionPoolManager --- ## References - **Specification**: `/Users/cliffclarke/Claude_Code/codebase-mcp/specs/009-v2-connection-mgmt/spec.md` - **Tasks**: `/Users/cliffclarke/Claude_Code/codebase-mcp/specs/009-v2-connection-mgmt/tasks.md` - **Existing Logging**: `/Users/cliffclarke/Claude_Code/codebase-mcp/src/mcp/mcp_logging.py` - **Settings**: `/Users/cliffclarke/Claude_Code/codebase-mcp/src/config/settings.py`