blob: de3ca21db50481d01e75326f25a4db15283ca072 [file]
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
import codecs
import io
import itertools
import logging
import os
import re
import sys
from collections.abc import Callable, Iterable, Mapping, Sequence
from functools import cache, cached_property
from pathlib import Path
from types import ModuleType
from typing import TYPE_CHECKING, Any, BinaryIO, Generic, TextIO, TypeVar, cast
import pygtrie
import structlog
import structlog.processors
from structlog.processors import NAME_TO_LEVEL, CallsiteParameter
from ._noncaching import make_file_io_non_caching
from .percent_formatter import PercentFormatRender
if TYPE_CHECKING:
from structlog.typing import (
BindableLogger,
EventDict,
Processor,
WrappedLogger,
)
from .types import Logger
log = logging.getLogger(__name__)
__all__ = [
"configure_logging",
"structlog_processors",
]
JWT_PATTERN = re.compile(r"eyJ[\.A-Za-z0-9-_]*")
LEVEL_TO_FILTERING_LOGGER: dict[int, type[Logger]] = {}
# ``_parse_path`` was introduced in Python 3.12; older versions use a different
# parsing path (``_flavour.parse_parts``) that does not call ``sys.intern``,
# so the patch is neither necessary nor applicable there. Python 3.14 removed
# the ``sys.intern`` call upstream, so the patch is unnecessary there too.
if sys.version_info < (3, 12) or sys.version_info >= (3, 14):
_PatchedPath = Path # type: ignore[misc, assignment]
else:
class _PatchedPath(Path):
"""
Backport of Python 3.14's ``PurePath._parse_path`` without ``sys.intern``.
The ``sys.intern`` call in the stock ``_parse_path`` causes memory
to grow unboundedly in long-running processes. Upstream removed it
in Python 3.14 (https://github.com/python/cpython/issues/119518);
this class applies the same fix for earlier versions.
"""
@classmethod
def _parse_path(cls, path: str) -> tuple[str, str, list[str]]:
if not path:
return "", "", []
sep = os.path.sep
altsep = os.path.altsep
if altsep:
path = path.replace(altsep, sep)
drv, root, rel = os.path.splitroot(path)
if not root and drv.startswith(sep) and not drv.endswith(sep):
drv_parts = drv.split(sep)
if len(drv_parts) == 4 and drv_parts[2] not in "?.":
# e.g. //server/share
root = sep
elif len(drv_parts) == 6:
# e.g. //?/unc/server/share
root = sep
return drv, root, [x for x in rel.split(sep) if x and x != "."]
def _make_airflow_structlogger(min_level):
# This uses https://github.com/hynek/structlog/blob/2f0cc42d/src/structlog/_native.py#L126
# as inspiration
LEVEL_TO_NAME = {v: k for k, v in NAME_TO_LEVEL.items()}
# A few things, namely paramiko _really_ wants this to be a stdlib logger. These fns pretends it is enough
# like it to function.
@cached_property
def handlers(self):
return [logging.NullHandler()]
@property
def level(self):
return min_level
@property
def name(self):
return self._logger.name
def _nop(self: Any, event: str, *args: Any, **kw: Any) -> Any:
return None
# Work around an issue in structlog https://github.com/hynek/structlog/issues/745
def make_method(
level: int,
) -> Callable[..., Any]:
name = LEVEL_TO_NAME[level]
if level < min_level:
return _nop
def meth(self: Any, event: str, *args: Any, **kw: Any) -> Any:
if not args:
return self._proxy_to_logger(name, event, **kw)
# Match CPython's stdlib logging behavior: try positional formatting first,
# fall back to named substitution only if that fails.
# See https://github.com/python/cpython/blob/3.13/Lib/logging/__init__.py#L307-L326
try:
return self._proxy_to_logger(name, event % args, **kw)
except (TypeError, KeyError):
if len(args) == 1 and isinstance(args[0], Mapping) and args[0]:
return self._proxy_to_logger(name, event % args[0], **kw)
raise
meth.__name__ = name
return meth
base = structlog.make_filtering_bound_logger(min_level)
cls = type(
f"AirflowBoundLoggerFilteringAt{LEVEL_TO_NAME.get(min_level, 'Notset').capitalize()}",
(base,),
{
"isEnabledFor": base.is_enabled_for,
"getEffectiveLevel": base.get_effective_level,
"level": level,
"name": name,
"handlers": handlers,
}
| {name: make_method(lvl) for lvl, name in LEVEL_TO_NAME.items()},
)
LEVEL_TO_FILTERING_LOGGER[min_level] = cls
return cls
AirflowBoundLoggerFilteringAtNotset = _make_airflow_structlogger(NAME_TO_LEVEL["notset"])
AirflowBoundLoggerFilteringAtDebug = _make_airflow_structlogger(NAME_TO_LEVEL["debug"])
AirflowBoundLoggerFilteringAtInfo = _make_airflow_structlogger(NAME_TO_LEVEL["info"])
AirflowBoundLoggerFilteringAtWarning = _make_airflow_structlogger(NAME_TO_LEVEL["warning"])
AirflowBoundLoggerFilteringAtError = _make_airflow_structlogger(NAME_TO_LEVEL["error"])
AirflowBoundLoggerFilteringAtCritical = _make_airflow_structlogger(NAME_TO_LEVEL["critical"])
# We use a trie structure (sometimes also called a "prefix tree") so that we can easily and quickly find the
# most suitable log level to apply. This mirrors the logging level cascade behavior from stdlib logging,
# without the complexity of multiple handlers etc
PER_LOGGER_LEVELS = pygtrie.StringTrie(separator=".")
PER_LOGGER_LEVELS.update(
{
# Top level logging default - changed to respect config in `configure_logging`
"": NAME_TO_LEVEL["info"],
}
)
_NAMESPACE_LEVEL_SEPARATORS = re.compile(r"[\s,]+")
def parse_namespace_log_levels(value: str | Mapping[str, str] | None) -> dict[str, int]:
"""
Parse the namespace logging levels configuration into per-logger levels.
Real callers always pass a string with a series of ``<logger>=<level>``
pairs separated by whitespaces and/or commas, or *None* if the configuration
is not set. See documentation on configuration for details.
Parsing is best-effort. Invalid entries are skipped with an ERROR level log
message.
An already-split ``Mapping`` of logger name to level name is also accepted
as a convenience for programmatic (test) callers; it is trusted and merely
resolved to numeric levels without validation.
:meta private:
"""
if value is None:
return {}
if not isinstance(value, str):
return {name: NAME_TO_LEVEL[level.lower()] for name, level in value.items()}
levels: dict[str, int] = {}
errors: list[str] = []
for entry in _NAMESPACE_LEVEL_SEPARATORS.split(value.strip()):
if not entry:
continue
logger_name, sep, level_name = entry.partition("=")
if not sep:
errors.append(f"malformed entry {entry!r}, expected '<logger>=<level>'")
continue
if not (logger_name := logger_name.strip()):
errors.append(f"malformed entry {entry!r}, logger name is empty")
continue
try:
levels[logger_name] = NAME_TO_LEVEL[(level_name := level_name.strip()).lower()]
except KeyError:
errors.append(
f"invalid level {level_name!r} for logger {logger_name!r}, "
f"expected one of: {', '.join(sorted(NAME_TO_LEVEL))}"
)
for error in errors:
log.error("Ignoring invalid namespace_levels entry: %s", error)
return levels
def make_filtering_logger() -> Callable[..., BindableLogger]:
def maker(logger: WrappedLogger, *args, **kwargs):
# If the logger is a NamedBytesLogger/NamedWriteLogger (an Airflow specific subclass) then
# look up the global per-logger config and redirect to a new class.
logger_name = kwargs.get("context", {}).get("logger_name")
if not logger_name and isinstance(logger, (NamedWriteLogger, NamedBytesLogger)):
logger_name = logger.name
if (level_override := kwargs.get("context", {}).pop("__level_override", None)) is not None:
level = level_override
elif logger_name:
level = PER_LOGGER_LEVELS.longest_prefix(logger_name).get(PER_LOGGER_LEVELS[""])
else:
level = PER_LOGGER_LEVELS[""]
return LEVEL_TO_FILTERING_LOGGER[level](logger, *args, **kwargs) # type: ignore[call-arg]
return maker
# structlog >= 26.1.0 (our floor) gave BytesLogger a `name` slot + kwarg
# (hynek/structlog#786), but WriteLogger has not received the analogous change
# yet. Detect it so the upstream addition lands without a regression.
_WRITE_LOGGER_HAS_NAME = "name" in getattr(structlog.WriteLogger, "__slots__", ())
class NamedBytesLogger(structlog.BytesLogger):
__slots__ = ()
def __init__(self, name: str | None = None, file: BinaryIO | None = None):
if file is not None:
file = make_file_io_non_caching(file)
super().__init__(file, name=name)
class NamedWriteLogger(structlog.WriteLogger):
__slots__ = () if _WRITE_LOGGER_HAS_NAME else ("name",)
def __init__(self, name: str | None = None, file: TextIO | None = None):
if file is not None:
file = make_file_io_non_caching(file)
if _WRITE_LOGGER_HAS_NAME:
super().__init__(file, name=name) # type: ignore[call-arg]
else:
super().__init__(file)
self.name = name
LogOutputType = TypeVar("LogOutputType", bound=TextIO | BinaryIO)
class LoggerFactory(Generic[LogOutputType]):
def __init__(
self,
cls: type[WrappedLogger],
io: LogOutputType | None = None,
):
self.cls = cls
self.io = io
def __call__(self, logger_name: str | None = None, *args: Any) -> WrappedLogger:
return self.cls(logger_name, self.io) # type: ignore[call-arg]
def logger_name(logger: Any, method_name: Any, event_dict: EventDict) -> EventDict:
if logger_name := (event_dict.pop("logger_name", None) or getattr(logger, "name", None)):
event_dict.setdefault("logger", logger_name)
return event_dict
# `eyJ` is `{"` in base64 encoding -- and any value that starts like that is very likely a JWT
# token. Better safe than sorry
def redact_jwt(logger: Any, method_name: str, event_dict: EventDict) -> EventDict:
for k, v in event_dict.items():
if isinstance(v, str):
event_dict[k] = re.sub(JWT_PATTERN, "eyJ***", v)
return event_dict
def drop_positional_args(logger: Any, method_name: Any, event_dict: EventDict) -> EventDict:
event_dict.pop("positional_args", None)
return event_dict
def positional_arguments_formatter(logger: Any, method_name: Any, event_dict: EventDict) -> EventDict:
"""
Format positional arguments matching CPython's stdlib logging behavior.
Replaces structlog's built-in PositionalArgumentsFormatter to correctly handle the case
where a single dict is passed as a positional argument (e.g. ``log.warning('%s', {'a': 1})``).
CPython tries positional formatting first (``msg % args``), and only falls back to named
substitution (``msg % args[0]``) if that raises TypeError or KeyError. structlog's built-in
formatter does it the other way around, causing TypeError for ``%s`` format specifiers.
"""
args = event_dict.get("positional_args")
if args:
try:
event_dict["event"] = event_dict["event"] % args
except (TypeError, KeyError):
if len(args) == 1 and isinstance(args[0], Mapping) and args[0]:
event_dict["event"] = event_dict["event"] % args[0]
else:
raise
del event_dict["positional_args"]
return event_dict
# This is a placeholder fn, that is "edited" in place via the `suppress_logs_and_warning` decorator
# The reason we need to do it this way is that structlog caches loggers on first use, and those include the
# configured processors, so we can't get away with changing the config as it won't have any effect once the
# logger obj is created and has been used once
def respect_stdlib_disable(logger: Any, method_name: Any, event_dict: EventDict) -> EventDict:
return event_dict
def _make_safe_enc_hook(default):
"""Wrap an enc_hook so that serialization failures fall back to ``str()``."""
def safe_enc_hook(obj):
if default is not None:
try:
return default(obj)
except (TypeError, ValueError):
pass
return str(obj)
return safe_enc_hook
@cache
def structlog_processors(
json_output: bool,
log_format: str = "",
colors: bool = True,
callsite_parameters: tuple[CallsiteParameter, ...] = (),
log_timestamp_format: str = "iso",
):
"""
Create the correct list of structlog processors for the given config.
Return value is a tuple of three elements:
1. A list of processors shared for structlog and stdlib
2. The final processor/renderer (one that outputs a string) for use with structlog.stdlib.ProcessorFormatter
``callsite_parameters`` specifies the keys to add to the log event dict. If ``log_format`` is specified
then anything callsite related will be added to this list
:meta private:
"""
timestamper = structlog.processors.MaybeTimeStamper(fmt=log_timestamp_format)
# Processors shared between stdlib handlers and structlog processors
shared_processors: list[structlog.typing.Processor] = [
respect_stdlib_disable,
timestamper,
structlog.contextvars.merge_contextvars,
structlog.processors.add_log_level,
positional_arguments_formatter,
logger_name,
redact_jwt,
structlog.processors.StackInfoRenderer(),
]
if log_format:
# Maintain the order if any params that are given explicitly, then add on anything needed for the
# format string (so use a dict with None as the values as set doesn't preserve order)
params = {
param: None
for param in itertools.chain(
callsite_parameters or [], PercentFormatRender.callsite_params_from_fmt_string(log_format)
)
}
shared_processors.append(
structlog.processors.CallsiteParameterAdder(list(params.keys()), additional_ignores=[__name__])
)
elif callsite_parameters:
shared_processors.append(
structlog.processors.CallsiteParameterAdder(callsite_parameters, additional_ignores=[__name__])
)
# Imports to suppress showing code from these modules. We need the import to get the filepath for
# structlog to ignore.
import contextlib
import importlib
import click
suppress: tuple[ModuleType, ...] = (click, contextlib)
# airflow-core is still on httpx while the Task SDK is on httpx2, so either (or both) may
# be installed; tracked at https://github.com/apache/airflow/issues/70522
for module_name in ("httpcore", "httpcore2", "httpx", "httpx2"):
with contextlib.suppress(ImportError):
suppress = (*suppress, importlib.import_module(module_name))
if json_output:
dict_exc_formatter = structlog.tracebacks.ExceptionDictTransformer(
use_rich=False, show_locals=False, suppress=suppress
)
dict_tracebacks = structlog.processors.ExceptionRenderer(dict_exc_formatter)
import msgspec
def json_dumps(msg, default):
# Note: this is likely an "expensive" step, but lets massage the dict order for nice
# viewing of the raw JSON logs.
# Maybe we don't need this once the UI renders the JSON instead of displaying the raw text
msg = {
"timestamp": msg.pop("timestamp"),
"level": msg.pop("level"),
"event": msg.pop("event"),
**msg,
}
try:
return msgspec.json.encode(msg, enc_hook=_make_safe_enc_hook(default))
except UnicodeEncodeError:
# Surrogate characters in strings can't be encoded to UTF-8 JSON.
# Replace them and retry.
def _sanitize(v):
return v.encode("utf-8", errors="replace").decode("utf-8") if isinstance(v, str) else v
msg = {k: _sanitize(v) for k, v in msg.items()}
return msgspec.json.encode(msg, enc_hook=_make_safe_enc_hook(default))
json = structlog.processors.JSONRenderer(serializer=json_dumps)
def json_processor(logger: Any, method_name: Any, event_dict: EventDict) -> str:
result = json(logger, method_name, event_dict)
return result.decode("utf-8") if isinstance(result, bytes) else result
shared_processors.extend(
(
dict_tracebacks,
structlog.processors.UnicodeDecoder(),
),
)
return shared_processors, json_processor, json
exc_formatter: structlog.dev.RichTracebackFormatter | structlog.typing.ExceptionRenderer
if os.getenv("DEV", "") != "":
# Only use Rich in dev -- otherwise for "production" deployments it makes the logs harder to read as
# it uses lots of ANSI escapes and non ASCII characters. Simpler is better for non-dev non-JSON
exc_formatter = structlog.dev.RichTracebackFormatter(
# These values are picked somewhat arbitrarily to produce useful-but-compact tracebacks. If
# we ever need to change these then they should be configurable.
extra_lines=0,
max_frames=30,
indent_guides=False,
suppress=suppress,
)
else:
exc_formatter = structlog.dev.plain_traceback
my_styles = structlog.dev.ConsoleRenderer.get_default_level_styles(colors=colors)
if colors:
my_styles["debug"] = structlog.dev.CYAN
console: PercentFormatRender | structlog.dev.ConsoleRenderer
if log_format:
console = PercentFormatRender(
fmt=log_format,
exception_formatter=exc_formatter,
level_styles=my_styles,
colors=colors,
)
else:
if callsite_parameters == (CallsiteParameter.FILENAME, CallsiteParameter.LINENO):
# Nicer formatting of the default callsite config
def log_loc(logger: Any, method_name: Any, event_dict: EventDict) -> EventDict:
if (
event_dict.get("logger") != "py.warnings"
and "filename" in event_dict
and "lineno" in event_dict
):
event_dict["loc"] = f"{event_dict.pop('filename')}:{event_dict.pop('lineno')}"
return event_dict
shared_processors.append(log_loc)
console = structlog.dev.ConsoleRenderer(
exception_formatter=exc_formatter,
level_styles=my_styles,
colors=colors,
)
return shared_processors, console, console
def configure_logging(
*,
json_output: bool = False,
log_level: str = "DEBUG",
log_format: str = "",
log_timestamp_format: str = "iso",
stdlib_config: dict | None = None,
extra_processors: Sequence[Processor] | None = None,
callsite_parameters: Iterable[CallsiteParameter] | None = None,
colors: bool = True,
output: LogOutputType | None = None,
namespace_log_levels: str | dict[str, str] | None = None,
cache_logger_on_first_use: bool = True,
):
"""
Configure structlog (and stbilb's logging to send via structlog processors too).
If percent_log_format is passed then it will be handled in a similar mode to stdlib, including
interpolations such as ``%(asctime)s`` etc.
:param json_output: Set to true to write all logs as JSON (one per line)
:param log_level: The default log level to use for most logs
:param log_format: A percent-style log format to write non JSON logs with.
:param log_timestamp_format: Timestamp format for component logs. Use ``"iso"`` for ISO 8601 format
(the default), or a strftime format string such as ``"%Y-%m-%d %H:%M:%S"``. Note: this only
applies to component logs rendered via structlog (scheduler, api-server, triggerer, etc.).
:param output: Where to write the logs to. If ``json_output`` is true this must be a binary stream
:param colors: Whether to use colors for non-JSON logs. This only works if standard out is a TTY (that is,
an interactive session), unless overridden by environment variables described below.
Please note that disabling colors also disables all styling, including bold and italics.
The following environment variables control color behavior (set to any non-empty value to activate):
* ``NO_COLOR`` - Disables colors completely. This takes precedence over all other settings,
including ``FORCE_COLOR``.
* ``FORCE_COLOR`` - Forces colors to be enabled, even when output is not going to a TTY. This only
takes effect if ``NO_COLOR`` is not set.
:param callsite_parameters: A list parameters about the callsite (line number, function name etc) to
include in the logs.
If ``log_format`` is specified, then anything required to populate that (such as ``%(lineno)d``) will
be automatically included.
:param namespace_log_levels: Levels of extra loggers to configure.
To make this easier to use, this can be a string consisting of pairs of ``<logger>=<level>`` (either
string, or space delimited) which will set the level for that specific logger.
For example::
``sqlalchemy=INFO sqlalchemy.engine=DEBUG``
"""
if "fatal" not in NAME_TO_LEVEL:
NAME_TO_LEVEL["fatal"] = NAME_TO_LEVEL["critical"]
def is_atty():
return sys.stdout is not None and hasattr(sys.stdout, "isatty") and sys.stdout.isatty()
colors = os.environ.get("NO_COLOR", "") == "" and (
os.environ.get("FORCE_COLOR", "") != "" or (colors and is_atty())
)
stdlib_config = stdlib_config or {}
extra_processors = extra_processors or ()
PER_LOGGER_LEVELS[""] = NAME_TO_LEVEL[log_level.lower()]
PER_LOGGER_LEVELS.update(parse_namespace_log_levels(namespace_log_levels))
shared_pre_chain, for_stdlib, for_structlog = structlog_processors(
json_output,
log_format=log_format,
colors=colors,
callsite_parameters=tuple(callsite_parameters or ()),
log_timestamp_format=log_timestamp_format,
)
shared_pre_chain += list(extra_processors)
pre_chain: list[structlog.typing.Processor] = [structlog.stdlib.add_logger_name] + shared_pre_chain
# Don't cache the loggers during tests, it makes it hard to capture them
if "PYTEST_VERSION" in os.environ:
cache_logger_on_first_use = False
std_lib_formatter: list[Processor] = [
# TODO: Don't include this if we are using PercentFormatter -- it'll delete something we
# just have to recreated!
structlog.stdlib.ProcessorFormatter.remove_processors_meta,
drop_positional_args,
for_stdlib,
]
wrapper_class = cast("type[BindableLogger]", make_filtering_logger())
if json_output:
logger_factory: LoggerFactory[Any] = LoggerFactory(NamedBytesLogger, io=output)
else:
# There is no universal way of telling if a file-like-object is binary (and needs bytes) or text that
# works for files, sockets and io.StringIO/BytesIO.
# If given a binary object, wrap it in a text mode wrapper
text_output: TextIO | None = None
if output is not None and not hasattr(output, "encoding"):
text_output = io.TextIOWrapper(cast("BinaryIO", output), line_buffering=True)
elif output is not None:
text_output = cast("TextIO", output)
logger_factory = LoggerFactory(NamedWriteLogger, io=text_output)
structlog.configure(
processors=shared_pre_chain + [for_structlog],
cache_logger_on_first_use=cache_logger_on_first_use,
wrapper_class=wrapper_class,
logger_factory=logger_factory,
)
import logging.config
config = {**stdlib_config}
config.setdefault("version", 1)
config.setdefault("disable_existing_loggers", False)
config["formatters"] = {**config.get("formatters", {})}
config["handlers"] = {**config.get("handlers", {})}
config["loggers"] = {**config.get("loggers", {})}
config["formatters"].update(
{
"structlog": {
"()": structlog.stdlib.ProcessorFormatter,
"use_get_message": False,
"processors": std_lib_formatter,
"foreign_pre_chain": pre_chain,
"pass_foreign_args": True,
},
}
)
for section in (config["loggers"], config["handlers"]):
for log_config in section.values():
# We want everything to go via structlog, remove whatever the user might have configured
log_config.pop("stream", None)
log_config.pop("formatter", None)
# log_config.pop("handlers", None)
if output and not hasattr(output, "encoding"):
# This is a BinaryIO, we need to give logging.StreamHandler a TextIO
output = codecs.lookup("utf-8").streamwriter(output) # type: ignore
config["handlers"].update(
{
"default": {
"level": log_level.upper(),
"class": "logging.StreamHandler",
"formatter": "structlog",
"stream": output if output is not None else sys.stdout,
},
}
)
config["loggers"].update(
{
# Set Airflow logging to the level requested, but most everything else at "INFO"
"airflow": {"level": log_level.upper()},
# These ones are too chatty even at info
"httpx": {"level": "WARN"},
"httpx2": {"level": "WARN"},
"sqlalchemy.engine": {"level": "WARN"},
"alembic.runtime.plugins": {"level": "WARN"},
}
)
config["root"] = {
"handlers": ["default"],
"level": log_level.upper(),
"propagate": True,
}
logging.config.dictConfig(config)
if json_output:
_install_excepthook()
_WarningsInterceptor.register(_showwarning)
class _WarningsInterceptor:
"""Holds a reference to the original ``warnings.showwarning`` so it can be restored."""
_original_showwarning: Callable | None = None
@staticmethod
def register(new_callable: Callable) -> None:
import warnings
if _WarningsInterceptor._original_showwarning is None:
_WarningsInterceptor._original_showwarning = warnings.showwarning
warnings.showwarning = new_callable
@staticmethod
def reset() -> None:
import warnings
if _WarningsInterceptor._original_showwarning is not None:
warnings.showwarning = _WarningsInterceptor._original_showwarning
_WarningsInterceptor._original_showwarning = None
@staticmethod
def emit_warning(*args: Any) -> None:
if _WarningsInterceptor._original_showwarning is not None:
_WarningsInterceptor._original_showwarning(*args)
def _showwarning(
message: Warning | str,
category: type[Warning],
filename: str,
lineno: int,
file: TextIO | None = None,
line: str | None = None,
) -> None:
"""
Redirect Python warnings to structlog.
If ``file`` is not None the warning is forwarded to the original handler
(e.g. when warnings are written directly to a file handle). Otherwise the
warning is emitted as a structured log event on the ``py.warnings`` logger
so it flows through the same processor chain as all other log output.
"""
if file is not None:
_WarningsInterceptor.emit_warning(message, category, filename, lineno, file, line)
else:
warning_log = reconfigure_logger(
structlog.get_logger("py.warnings").bind(),
structlog.processors.CallsiteParameterAdder,
)
warning_log.warning(str(message), category=category.__name__, filename=filename, lineno=lineno)
def _install_excepthook() -> None:
"""Replace sys.excepthook so unhandled exceptions are emitted via structlog."""
_original = sys.excepthook
def _excepthook(exc_type: type, exc_value: BaseException, exc_tb) -> None:
if issubclass(exc_type, KeyboardInterrupt):
_original(exc_type, exc_value, exc_tb)
return
structlog.get_logger("unhandled_exception").critical(
"Unhandled exception", exc_info=(exc_type, exc_value, exc_tb)
)
sys.excepthook = _excepthook
def init_log_folder(directory: str | os.PathLike[str], new_folder_permissions: int):
"""
Prepare the log folder and ensure its mode is as configured.
To handle log writing when tasks are impersonated, the log files need to
be writable by the user that runs the Airflow command and the user
that is impersonated. This is mainly to handle corner cases with the
SubDagOperator. When the SubDagOperator is run, all of the operators
run under the impersonated user and create appropriate log files
as the impersonated user. However, if the user manually runs tasks
of the SubDagOperator through the UI, then the log files are created
by the user that runs the Airflow command. For example, the Airflow
run command may be run by the `airflow_sudoable` user, but the Airflow
tasks may be run by the `airflow` user. If the log files are not
writable by both users, then it's possible that re-running a task
via the UI (or vice versa) results in a permission error as the task
tries to write to a log file created by the other user.
We leave it up to the user to manage their permissions by exposing configuration for both
new folders and new log files. Default is to make new log folders and files group-writeable
to handle most common impersonation use cases. The requirement in this case will be to make
sure that the same group is set as default group for both - impersonated user and main airflow
user.
"""
directory = _PatchedPath(directory)
try:
directory.mkdir(mode=new_folder_permissions, parents=True, exist_ok=True)
except OSError as e:
log.warning(
"Could not create log folder %s: %s. "
"Airflow will continue but logging to this directory may fail.",
directory,
e,
)
def init_log_file(
base_log_folder: str | os.PathLike[str],
local_relative_path: str | os.PathLike[str],
*,
new_folder_permissions: int = 0o775,
new_file_permissions: int = 0o664,
) -> Path:
"""
Ensure log file and parent directories are created with the correct permissions.
Any directories that are missing are created with the right permission bits.
See above ``init_log_folder`` method for more detailed explanation.
"""
full_path = _PatchedPath(base_log_folder, local_relative_path)
init_log_folder(full_path.parent, new_folder_permissions)
try:
full_path.touch(new_file_permissions)
except OSError as e:
log = structlog.get_logger(__name__)
log.warning("OSError while changing ownership of the log file. %s", e)
return full_path
def reconfigure_logger(
logger: WrappedLogger, without_processor_type: type, level_override: int | None = None
):
procs = getattr(logger, "_processors", None)
if procs is None:
procs = structlog.get_config()["processors"]
procs = [proc for proc in procs if not isinstance(proc, without_processor_type)]
return structlog.wrap_logger(
getattr(logger, "_logger", None),
processors=procs,
**getattr(logger, "_context", {}),
__level_override=level_override,
)
if __name__ == "__main__":
configure_logging(
# json_output=True,
log_format="[%(blue)s%(asctime)s%(reset)s] {%(blue)s%(filename)s:%(reset)s%(lineno)d} %(log_color)s%(levelname)s%(reset)s - %(log_color)s%(message)s%(reset)s",
)
log = logging.getLogger("testing.stlib")
log2 = structlog.get_logger(logger_name="testing.structlog")
def raises():
try:
1 / 0
except ZeroDivisionError:
log.exception("str")
try:
1 / 0
except ZeroDivisionError:
log2.exception("std")
def main():
log.info("in main")
log2.info("in main", key="value")
raises()
main()