llama-stack-mirror/llama_stack/log.py

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.

import logging
import os
import sys
from logging.config import dictConfig

from rich.console import Console
from rich.errors import MarkupError
from rich.logging import RichHandler
from termcolor import cprint

from .distribution.datatypes import LoggingConfig

# Default log level
DEFAULT_LOG_LEVEL = logging.INFO

# Predefined categories
CATEGORIES = [
    "core",
    "server",
    "router",
    "inference",
    "agents",
    "safety",
    "eval",
    "tools",
    "client",
]

# Initialize category levels with default level
_category_levels: dict[str, int] = {category: DEFAULT_LOG_LEVEL for category in CATEGORIES}


def config_to_category_levels(category: str, level: str):
    """
    Helper function to be called either by environment parsing or yaml parsing to go from a list of categories and levels to a dictionary ready to be
    used by the logger dictConfig.

    Parameters:
        category (str): logging category to apply the level to
        level (str): logging level to be used in the category

    Returns:
        Dict[str, int]: A dictionary mapping categories to their log levels.
    """

    category_levels: dict[str, int] = {}
    level_value = logging._nameToLevel.get(str(level).upper())
    if level_value is None:
        logging.warning(f"Unknown log level '{level}' for category '{category}'. Falling back to default 'INFO'.")
        return category_levels

    if category == "all":
        # Apply the log level to all categories and the root logger
        for cat in CATEGORIES:
            category_levels[cat] = level_value
        # Set the root logger's level to the specified level
        category_levels["root"] = level_value
    elif category in CATEGORIES:
        category_levels[category] = level_value
        logging.info(f"Setting '{category}' category to level '{level}'.")
    else:
        logging.warning(f"Unknown logging category: {category}. No changes made.")
    return category_levels


def parse_yaml_config(yaml_config: LoggingConfig) -> dict[str, int]:
    """
    Helper function to parse a yaml logging configuration found in the run.yaml

    Parameters:
        yaml_config (Logging): the logger config object found in the run.yaml

    Returns:
        Dict[str, int]: A dictionary mapping categories to their log levels.
    """
    category_levels = {}
    for category, level in yaml_config.category_levels.items():
        category_levels.update(config_to_category_levels(category=category, level=level))

    return category_levels


def parse_environment_config(env_config: str) -> dict[str, int]:
    """
    Parse the LLAMA_STACK_LOGGING environment variable and return a dictionary of category log levels.

    Parameters:
        env_config (str): The value of the LLAMA_STACK_LOGGING environment variable.

    Returns:
        Dict[str, int]: A dictionary mapping categories to their log levels.
    """
    category_levels = {}
    for pair in env_config.split(";"):
        if not pair.strip():
            continue

        try:
            category, level = pair.split("=", 1)
            category = category.strip().lower()
            level = level.strip().upper()  # Convert to uppercase for logging._nameToLevel
            category_levels.update(config_to_category_levels(category=category, level=level))

        except ValueError:
            logging.warning(f"Invalid logging configuration: '{pair}'. Expected format: 'category=level'.")

    return category_levels


class CustomRichHandler(RichHandler):
    def __init__(self, *args, **kwargs):
        kwargs["console"] = Console(width=120)
        super().__init__(*args, **kwargs)

    def emit(self, record):
        """Override emit to handle markup errors gracefully."""
        try:
            super().emit(record)
        except MarkupError:
            original_markup = self.markup
            self.markup = False
            try:
                super().emit(record)
            finally:
                self.markup = original_markup


def setup_logging(category_levels: dict[str, int], log_file: str | None) -> None:
    """
    Configure logging based on the provided category log levels and an optional log file.

    Parameters:
        category_levels (Dict[str, int]): A dictionary mapping categories to their log levels.
        log_file (str): Path to a log file to additionally pipe the logs into
    """
    log_format = "%(asctime)s %(name)s:%(lineno)d %(category)s: %(message)s"

    class CategoryFilter(logging.Filter):
        """Ensure category is always present in log records."""

        def filter(self, record):
            if not hasattr(record, "category"):
                record.category = "uncategorized"  # Default to 'uncategorized' if no category found
            return True

    # Determine the root logger's level (default to WARNING if not specified)
    root_level = category_levels.get("root", logging.WARNING)

    handlers = {
        "console": {
            "()": CustomRichHandler,  # Use custom console handler
            "formatter": "rich",
            "rich_tracebacks": True,
            "show_time": False,
            "show_path": False,
            "markup": True,
            "filters": ["category_filter"],
        }
    }

    # Add a file handler if log_file is set
    if log_file:
        handlers["file"] = {
            "class": "logging.FileHandler",
            "formatter": "rich",
            "filename": log_file,
            "mode": "a",
            "encoding": "utf-8",
        }

    logging_config = {
        "version": 1,
        "disable_existing_loggers": False,
        "formatters": {
            "rich": {
                "()": logging.Formatter,
                "format": log_format,
            }
        },
        "handlers": handlers,
        "filters": {
            "category_filter": {
                "()": CategoryFilter,
            }
        },
        "loggers": {
            category: {
                "handlers": list(handlers.keys()),  # Apply all handlers
                "level": category_levels.get(category, DEFAULT_LOG_LEVEL),
                "propagate": False,  # Disable propagation to root logger
            }
            for category in CATEGORIES
        },
        "root": {
            "handlers": list(handlers.keys()),
            "level": root_level,  # Set root logger's level dynamically
        },
    }
    dictConfig(logging_config)

    # Ensure third-party libraries follow the root log level
    for _, logger in logging.root.manager.loggerDict.items():
        if isinstance(logger, logging.Logger):
            logger.setLevel(root_level)


def get_logger(
    name: str, category: str = "uncategorized", config: LoggingConfig | None | None = None
) -> logging.LoggerAdapter:
    """
    Returns a logger with the specified name and category.
    If no category is provided, defaults to 'uncategorized'.

    Parameters:
        name (str): The name of the logger (e.g., module or filename).
        category (str): The category of the logger (default 'uncategorized').
        config (Logging): optional yaml config to override the existing logger configuration

    Returns:
        logging.LoggerAdapter: Configured logger with category support.
    """
    if config:
        _category_levels.update(parse_yaml_config(config))

    logger = logging.getLogger(name)
    logger.setLevel(_category_levels.get(category, DEFAULT_LOG_LEVEL))
    return logging.LoggerAdapter(logger, {"category": category})


env_config = os.environ.get("LLAMA_STACK_LOGGING", "")
if env_config:
    cprint(f"Environment variable LLAMA_STACK_LOGGING found: {env_config}", color="yellow", file=sys.stderr)
    _category_levels.update(parse_environment_config(env_config))

log_file = os.environ.get("LLAMA_STACK_LOG_FILE")

setup_logging(_category_levels, log_file)