llama-stack-mirror/llama_stack/log.py
Sébastien Han ac5fd57387
chore: remove nested imports (#2515)
# What does this PR do?

* Given that our API packages use "import *" in `__init.py__` we don't
need to do `from llama_stack.apis.models.models` but simply from
llama_stack.apis.models. The decision to use `import *` is debatable and
should probably be revisited at one point.

* Remove unneeded Ruff F401 rule
* Consolidate Ruff F403 rule in the pyprojectfrom
llama_stack.apis.models.models

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-26 08:01:05 +05:30

243 lines
7.8 KiB
Python

# 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] = dict.fromkeys(CATEGORIES, DEFAULT_LOG_LEVEL)
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=150)
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)