""" CASCADE Log Manager Orchestrates the tsunami of data into ordered causation troops. Manages log levels, routing, and the beautiful display of system truth. """ import os import sys import time from typing import Dict, List, Optional, Any from dataclasses import dataclass from enum import Enum from .kleene_logger import KleeneLogger, LogLevel from .interpretive_logger import InterpretiveLogger, ImpactLevel class LogMode(Enum): """The two modes of logging excellence""" KLEENE = "kleene" # Mathematical precision INTERPRETIVE = "interpretive" # Human stories DUAL = "dual" # Both simultaneously @dataclass class LogConfig: """Configuration for logging behavior""" mode: LogMode = LogMode.DUAL min_level_kleene: LogLevel = LogLevel.INFO min_level_interpretive: ImpactLevel = ImpactLevel.LOW show_metrics: bool = True show_timestamps: bool = True color_output: bool = True file_output: bool = False max_file_size_mb: int = 100 class CascadeLogManager: """The conductor of your causation orchestra""" def __init__(self, config: Optional[LogConfig] = None): self.config = config or LogConfig() self.kleene_loggers: Dict[str, KleeneLogger] = {} self.interpretive_loggers: Dict[str, InterpretiveLogger] = {} self.start_time = time.time() self.operation_count = 0 # Initialize display self._setup_display() def _setup_display(self): """Setup beautiful terminal output""" if self.config.color_output: # Enable ANSI colors sys.stdout.reconfigure(encoding='utf-8') # Print header self._print_header() def _print_header(self): """Print beautiful cascade header with colors""" # ANSI color codes colors = { "WAVE": "\033[94m", # Bright blue "BRIDGE": "\033[96m", # Cyan "BOLD": "\033[1m", "DIM": "\033[2m", "RESET": "\033[0m", "GREEN": "\033[32m", "YELLOW": "\033[33m", } wave = colors["WAVE"] bridge = colors["BRIDGE"] bold = colors["BOLD"] dim = colors["DIM"] reset = colors["RESET"] green = colors["GREEN"] yellow = colors["YELLOW"] print(f"\n{bold}{'='*80}{reset}") print(f"{wave}🌊{reset} {bold}CASCADE // TRUTH INFRASTRUCTURE{reset} {bridge}🧠{reset}") print(f"{bold}{'='*80}{reset}") print(f"{bold}Mode:{reset} {green}{self.config.mode.value.upper()}{reset}") print(f"{bold}Started:{reset} {dim}{time.strftime('%Y-%m-%d %H:%M:%S')}{reset}") print(f"{bold}{'='*80}{reset}\n") def register_component(self, component: str, system: str = "CASCADE"): """Register a component for logging""" if self.config.mode in [LogMode.KLEENE, LogMode.DUAL]: kleene = KleeneLogger(component) self.kleene_loggers[component] = kleene if self.config.mode in [LogMode.INTERPRETIVE, LogMode.DUAL]: interpretive = InterpretiveLogger(system) self.interpretive_loggers[system] = interpretive def log_operation(self, component: str, operation: str, level: LogLevel = LogLevel.INFO, impact: ImpactLevel = ImpactLevel.LOW, details: Optional[Dict] = None): """Log an operation across all active loggers""" self.operation_count += 1 if self.config.mode in [LogMode.KLEENE, LogMode.DUAL]: if component in self.kleene_loggers: self.kleene_loggers[component].log( level, operation, state_before=details.get("before") if details else None, state_after=details.get("after") if details else None, fixed_point=details.get("fixed_point", False) if details else False, iterations=details.get("iterations", 0) if details else 0 ) if self.config.mode in [LogMode.INTERPRETIVE, LogMode.DUAL]: # Find interpretive logger for component system = details.get("system", "CASCADE") if details else "CASCADE" if system in self.interpretive_loggers: self.interpretive_loggers[system].log( impact, component, operation, context=details.get("context", "") if details else "", consequence=details.get("consequence", "") if details else "", metrics=details.get("metrics", {}) if details else {}, recommendation=details.get("recommendation") if details else None ) def get_session_stats(self) -> Dict[str, Any]: """Get beautiful session statistics""" total_kleene = sum(len(logger.entries) for logger in self.kleene_loggers.values()) total_interpretive = sum(len(logger.entries) for logger in self.interpretive_loggers.values()) return { "uptime_seconds": time.time() - self.start_time, "operations": self.operation_count, "kleene_entries": total_kleene, "interpretive_entries": total_interpretive, "active_components": len(self.kleene_loggers), "active_systems": len(self.interpretive_loggers) } def print_summary(self): """Print beautiful session summary with colors""" stats = self.get_session_stats() # ANSI color codes colors = { "BOLD": "\033[1m", "DIM": "\033[2m", "RESET": "\033[0m", "CYAN": "\033[36m", "GREEN": "\033[32m", "YELLOW": "\033[33m", "BLUE": "\033[34m", "MAGENTA": "\033[35m", } bold = colors["BOLD"] dim = colors["DIM"] reset = colors["RESET"] cyan = colors["CYAN"] green = colors["GREEN"] yellow = colors["YELLOW"] blue = colors["BLUE"] magenta = colors["MAGENTA"] print(f"\n{bold}{'='*80}{reset}") print(f"{cyan}šŸ“Š CASCADE SESSION SUMMARY{reset}") print(f"{bold}{'='*80}{reset}") print(f"{bold}Uptime:{reset} {stats['uptime_seconds']:.1f} seconds") print(f"{bold}Operations:{reset} {green}{stats['operations']:,}{reset}") print(f"{bold}Kleene Entries:{reset} {yellow}{stats['kleene_entries']:,}{reset}") print(f"{bold}Interpretive Entries:{reset} {blue}{stats['interpretive_entries']:,}{reset}") print(f"{bold}Active Components:{reset} {magenta}{stats['active_components']}{reset}") print(f"{bold}Active Systems:{reset} {magenta}{stats['active_systems']}{reset}") if stats['kleene_entries'] > 0: # Get session hash from first logger first_logger = next(iter(self.kleene_loggers.values())) print(f"{bold}Session Hash:{reset} {dim}{first_logger.get_session_hash()}{reset}") print(f"{bold}{'='*80}{reset}") def set_mode(self, mode: LogMode): """Switch logging mode dynamically""" old_mode = self.config.mode self.config.mode = mode print(f"\nšŸ”„ Logging mode changed: {old_mode.value} → {mode.value}") def enable_file_logging(self, filepath: str): """Enable logging to file""" self.config.file_output = True # TODO: Implement file logging print(f"šŸ“ File logging enabled: {filepath}") # Global log manager instance _log_manager: Optional[CascadeLogManager] = None def init_logging(config: Optional[LogConfig] = None) -> CascadeLogManager: """Initialize the global CASCADE logging system""" global _log_manager _log_manager = CascadeLogManager(config) return _log_manager def get_log_manager() -> CascadeLogManager: """Get the global log manager""" global _log_manager if _log_manager is None: _log_manager = CascadeLogManager() return _log_manager def log(component: str, operation: str, context: str = "", consequence: str = "", metrics: Dict[str, Any] = None, impact: str = "LOW", **kwargs): """Quick log operation - convenience function""" manager = get_log_manager() manager.log_operation(component, operation, details={ "context": context, "consequence": consequence, "metrics": metrics or {}, "impact": impact, **kwargs }) def log_fixed_point(component: str, operation: str, iterations: int, **kwargs): """Log successful fixed point""" log(component, operation, level=LogLevel.INFO, impact=ImpactLevel.LOW, details={ "fixed_point": True, "iterations": iterations, **kwargs }) def log_error(component: str, operation: str, error: str, **kwargs): """Log error condition""" log(component, f"{operation}_error", level=LogLevel.ERROR, impact=ImpactLevel.HIGH, details={ "context": f"Operation failed: {error}", "consequence": "System may be degraded", "metrics": {"error": error}, **kwargs }) def log_performance(component: str, metric: str, value: float, threshold: float): """Log performance warning""" log(component, f"performance_{metric}", level=LogLevel.WARNING, impact=ImpactLevel.MEDIUM, details={ "context": f"Performance metric {metric} exceeded threshold", "consequence": "May impact system performance", "metrics": {metric: value, "threshold": threshold}, "recommendation": f"Optimize {metric} or scale resources" })