vllm/vllm/logger.py
Russell Bryant e489ad7a21
[Misc] Add SPDX-License-Identifier headers to python source files (#12628)
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**

commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:18:24 2025 -0500

    Add SPDX license headers to python source files
    
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
    also be easily used by tools to help manage license compliance.
    
The Linux Foundation runs license scans against the codebase to help
ensure
    we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
    
    More information can be found on the SPDX site:
    
    - https://spdx.dev/learn/handling-license-info/
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:36:32 2025 -0500

    Check for SPDX headers using pre-commit
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

---------

Signed-off-by: Russell Bryant <rbryant@redhat.com>
2025-02-02 11:58:18 -08:00

211 lines
7.2 KiB
Python

# SPDX-License-Identifier: Apache-2.0
"""Logging configuration for vLLM."""
import datetime
import json
import logging
import os
import sys
from functools import lru_cache, partial
from logging import Logger
from logging.config import dictConfig
from os import path
from types import MethodType
from typing import Any, Optional, cast
import vllm.envs as envs
VLLM_CONFIGURE_LOGGING = envs.VLLM_CONFIGURE_LOGGING
VLLM_LOGGING_CONFIG_PATH = envs.VLLM_LOGGING_CONFIG_PATH
VLLM_LOGGING_LEVEL = envs.VLLM_LOGGING_LEVEL
VLLM_LOGGING_PREFIX = envs.VLLM_LOGGING_PREFIX
_FORMAT = (f"{VLLM_LOGGING_PREFIX}%(levelname)s %(asctime)s "
"%(filename)s:%(lineno)d] %(message)s")
_DATE_FORMAT = "%m-%d %H:%M:%S"
DEFAULT_LOGGING_CONFIG = {
"formatters": {
"vllm": {
"class": "vllm.logging_utils.NewLineFormatter",
"datefmt": _DATE_FORMAT,
"format": _FORMAT,
},
},
"handlers": {
"vllm": {
"class": "logging.StreamHandler",
"formatter": "vllm",
"level": VLLM_LOGGING_LEVEL,
"stream": "ext://sys.stdout",
},
},
"loggers": {
"vllm": {
"handlers": ["vllm"],
"level": "DEBUG",
"propagate": False,
},
},
"version": 1,
"disable_existing_loggers": False
}
@lru_cache
def _print_info_once(logger: Logger, msg: str) -> None:
# Set the stacklevel to 2 to print the original caller's line info
logger.info(msg, stacklevel=2)
@lru_cache
def _print_warning_once(logger: Logger, msg: str) -> None:
# Set the stacklevel to 2 to print the original caller's line info
logger.warning(msg, stacklevel=2)
class _VllmLogger(Logger):
"""
Note:
This class is just to provide type information.
We actually patch the methods directly on the :class:`logging.Logger`
instance to avoid conflicting with other libraries such as
`intel_extension_for_pytorch.utils._logger`.
"""
def info_once(self, msg: str) -> None:
"""
As :meth:`info`, but subsequent calls with the same message
are silently dropped.
"""
_print_info_once(self, msg)
def warning_once(self, msg: str) -> None:
"""
As :meth:`warning`, but subsequent calls with the same message
are silently dropped.
"""
_print_warning_once(self, msg)
def _configure_vllm_root_logger() -> None:
logging_config = dict[str, Any]()
if not VLLM_CONFIGURE_LOGGING and VLLM_LOGGING_CONFIG_PATH:
raise RuntimeError(
"VLLM_CONFIGURE_LOGGING evaluated to false, but "
"VLLM_LOGGING_CONFIG_PATH was given. VLLM_LOGGING_CONFIG_PATH "
"implies VLLM_CONFIGURE_LOGGING. Please enable "
"VLLM_CONFIGURE_LOGGING or unset VLLM_LOGGING_CONFIG_PATH.")
if VLLM_CONFIGURE_LOGGING:
logging_config = DEFAULT_LOGGING_CONFIG
if VLLM_LOGGING_CONFIG_PATH:
if not path.exists(VLLM_LOGGING_CONFIG_PATH):
raise RuntimeError(
"Could not load logging config. File does not exist: %s",
VLLM_LOGGING_CONFIG_PATH)
with open(VLLM_LOGGING_CONFIG_PATH, encoding="utf-8") as file:
custom_config = json.loads(file.read())
if not isinstance(custom_config, dict):
raise ValueError("Invalid logging config. Expected Dict, got %s.",
type(custom_config).__name__)
logging_config = custom_config
for formatter in logging_config.get("formatters", {}).values():
# This provides backwards compatibility after #10134.
if formatter.get("class") == "vllm.logging.NewLineFormatter":
formatter["class"] = "vllm.logging_utils.NewLineFormatter"
if logging_config:
dictConfig(logging_config)
def init_logger(name: str) -> _VllmLogger:
"""The main purpose of this function is to ensure that loggers are
retrieved in such a way that we can be sure the root vllm logger has
already been configured."""
logger = logging.getLogger(name)
methods_to_patch = {
"info_once": _print_info_once,
"warning_once": _print_warning_once,
}
for method_name, method in methods_to_patch.items():
setattr(logger, method_name, MethodType(method, logger))
return cast(_VllmLogger, logger)
# The root logger is initialized when the module is imported.
# This is thread-safe as the module is only imported once,
# guaranteed by the Python GIL.
_configure_vllm_root_logger()
logger = init_logger(__name__)
def _trace_calls(log_path, root_dir, frame, event, arg=None):
if event in ['call', 'return']:
# Extract the filename, line number, function name, and the code object
filename = frame.f_code.co_filename
lineno = frame.f_lineno
func_name = frame.f_code.co_name
if not filename.startswith(root_dir):
# only log the functions in the vllm root_dir
return
# Log every function call or return
try:
last_frame = frame.f_back
if last_frame is not None:
last_filename = last_frame.f_code.co_filename
last_lineno = last_frame.f_lineno
last_func_name = last_frame.f_code.co_name
else:
# initial frame
last_filename = ""
last_lineno = 0
last_func_name = ""
with open(log_path, 'a') as f:
ts = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")
if event == 'call':
f.write(f"{ts} Call to"
f" {func_name} in {filename}:{lineno}"
f" from {last_func_name} in {last_filename}:"
f"{last_lineno}\n")
else:
f.write(f"{ts} Return from"
f" {func_name} in {filename}:{lineno}"
f" to {last_func_name} in {last_filename}:"
f"{last_lineno}\n")
except NameError:
# modules are deleted during shutdown
pass
return partial(_trace_calls, log_path, root_dir)
def enable_trace_function_call(log_file_path: str,
root_dir: Optional[str] = None):
"""
Enable tracing of every function call in code under `root_dir`.
This is useful for debugging hangs or crashes.
`log_file_path` is the path to the log file.
`root_dir` is the root directory of the code to trace. If None, it is the
vllm root directory.
Note that this call is thread-level, any threads calling this function
will have the trace enabled. Other threads will not be affected.
"""
logger.warning(
"VLLM_TRACE_FUNCTION is enabled. It will record every"
" function executed by Python. This will slow down the code. It "
"is suggested to be used for debugging hang or crashes only.")
logger.info("Trace frame log is saved to %s", log_file_path)
if root_dir is None:
# by default, this is the vllm root directory
root_dir = os.path.dirname(os.path.dirname(__file__))
sys.settrace(partial(_trace_calls, log_file_path, root_dir))