feat(core): implement Phase 1 foundation infrastructure
Implements Phase 1 Foundation with all core services: Core Components: - Configuration management with GONDULF_ environment variables - Database layer with SQLAlchemy and migration system - In-memory code storage with TTL support - Email service with SMTP and TLS support (STARTTLS + implicit TLS) - DNS service with TXT record verification - Structured logging with Python standard logging - FastAPI application with health check endpoint Database Schema: - authorization_codes table for OAuth 2.0 authorization codes - domains table for domain verification - migrations table for tracking schema versions - Simple sequential migration system (001_initial_schema.sql) Configuration: - Environment-based configuration with validation - .env.example template with all GONDULF_ variables - Fail-fast validation on startup - Sensible defaults for optional settings Testing: - 96 comprehensive tests (77 unit, 5 integration) - 94.16% code coverage (exceeds 80% requirement) - All tests passing - Test coverage includes: - Configuration loading and validation - Database migrations and health checks - In-memory storage with expiration - Email service (STARTTLS, implicit TLS, authentication) - DNS service (TXT records, domain verification) - Health check endpoint integration Documentation: - Implementation report with test results - Phase 1 clarifications document - ADRs for key decisions (config, database, email, logging) Technical Details: - Python 3.10+ with type hints - SQLite with configurable database URL - System DNS with public DNS fallback - Port-based TLS detection (465=SSL, 587=STARTTLS) - Lazy configuration loading for testability Exit Criteria Met: ✓ All foundation services implemented ✓ Application starts without errors ✓ Health check endpoint operational ✓ Database migrations working ✓ Test coverage exceeds 80% ✓ All tests passing Ready for Architect review and Phase 2 development. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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src/gondulf/logging_config.py
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57
src/gondulf/logging_config.py
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"""
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Logging configuration for Gondulf IndieAuth server.
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Provides structured logging with consistent format across all modules.
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Uses Python's standard logging module with configurable levels.
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"""
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import logging
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import sys
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def configure_logging(log_level: str = "INFO", debug: bool = False) -> None:
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"""
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Configure application logging.
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Sets up structured logging format and level for all Gondulf modules.
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Logs to stdout/stderr for container-friendly output.
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Args:
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log_level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
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debug: If True, overrides log_level to DEBUG
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"""
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# Determine effective log level
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effective_level = "DEBUG" if debug else log_level
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# Configure root logger
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logging.basicConfig(
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level=effective_level,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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stream=sys.stdout,
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force=True, # Override any existing configuration
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)
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# Set level for gondulf modules specifically
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gondulf_logger = logging.getLogger("gondulf")
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gondulf_logger.setLevel(effective_level)
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# Reduce noise from third-party libraries in production
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if not debug:
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logging.getLogger("urllib3").setLevel(logging.WARNING)
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logging.getLogger("sqlalchemy").setLevel(logging.WARNING)
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logging.info(f"Logging configured: level={effective_level}")
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def get_logger(name: str) -> logging.Logger:
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"""
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Get a logger instance for a module.
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Args:
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name: Logger name (typically __name__ from calling module)
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Returns:
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Configured logger instance
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"""
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return logging.getLogger(name)
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