pyo3_log/lib.rs
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#![forbid(unsafe_code)]
#![doc(
html_root_url = "https://docs.rs/pyo3-log/0.2.1/pyo3-log/",
test(attr(deny(warnings))),
test(attr(allow(unknown_lints, non_local_definitions)))
)]
#![warn(missing_docs)]
//! A bridge from Rust to Python logging
//!
//! The library can be used to install a [logger][log::Log] into Rust that will send the messages
//! over to the Python [logging](https://docs.python.org/3/library/logging.html). This can be
//! useful when writing a native Python extension module in Rust and it is desirable to log from
//! the Rust side too.
//!
//! The library internally depends on the [`pyo3`] crate. This is not exposed through the public
//! API and it should work from extension modules not using [`pyo3`] directly. It'll nevertheless
//! still bring the dependency in, so this might be considered if the module doesn't want to use
//! it.
//!
//! # Simple usage
//!
//! Each extension module has its own global variables, therefore the used logger is also
//! independent of other Rust native extensions. Therefore, it is up to each one to set a logger
//! for itself if it wants one.
//!
//! By using [`init`] function from a place that's run only once (maybe from the top-level module
//! of the extension), the logger is registered and the log messages (eg. [`info`][log::info]) send
//! their messages over to the Python side.
//!
//! ```rust
//! use log::info;
//! use pyo3::prelude::*;
//!
//! #[pyfunction]
//! fn log_something() {
//! info!("Something!");
//! }
//!
//! #[pymodule]
//! fn my_module(m: Bound<'_, PyModule>) -> PyResult<()> {
//! pyo3_log::init();
//!
//! m.add_wrapped(wrap_pyfunction!(log_something))?;
//! Ok(())
//! }
//! ```
//!
//! # Performance, Filtering and Caching
//!
//! Ideally, the logging system would always consult the Python loggers to know which messages
//! should or should not be logged. However, one of the reasons of using Rust instead of Python is
//! performance. Part of that is giving up the GIL in long-running computations to let other
//! threads run at the same time.
//!
//! Therefore, acquiring the GIL and calling into the Python interpreter on each
//! [`trace`][log::trace] message only to figure out it is not to be logged would be prohibitively
//! slow. There are two techniques employed here.
//!
//! First, level filters are applied before consulting the Python side. By default, only the
//! [`Debug`][Level::Debug] level and more severe is considered to be sent over to Python. This can
//! be overridden using the [`filter`][Logger::filter] and [`filter_target`][Logger::filter_target]
//! methods.
//!
//! Second, the Python loggers and their effective log levels are cached on the Rust side on the
//! first use of the given module. This means that on a disabled level, only the first logging
//! attempt in the given module will acquire GIL while the future ones will short-circuit before
//! ever reaching Python.
//!
//! This is good for performance, but could lead to the incorrect messages to be logged or not
//! logged in certain situations ‒ if Rust logs before the Python logging system is set up properly
//! or when it is reconfigured at runtime.
//!
//! For these reasons it is possible to turn caching off on construction of the logger (at the cost
//! of performance) and to clear the cache manually through the [`ResetHandle`].
//!
//! To tune the caching and filtering, the logger needs to be created manually:
//!
//! ```rust
//! # use log::LevelFilter;
//! # use pyo3::prelude::*;
//! # use pyo3_log::{Caching, Logger};
//! #
//! # fn main() -> PyResult<()> {
//! # Python::with_gil(|py| {
//! let handle = Logger::new(py, Caching::LoggersAndLevels)?
//! .filter(LevelFilter::Trace)
//! .filter_target("my_module::verbose_submodule".to_owned(), LevelFilter::Warn)
//! .install()
//! .expect("Someone installed a logger before us :-(");
//!
//! // Some time in the future when logging changes, reset the caches:
//! handle.reset();
//! # Ok(())
//! # })
//! # }
//! ```
//!
//! # Mapping
//!
//! The logging `target` is mapped into the name of the logger on the Python side, replacing all
//! `::` occurrences with `.` (both form hierarchy in their respective language).
//!
//! Log levels are mapped to the same-named ones. The [`Trace`][Level::Trace] doesn't exist on the
//! Python side, but is mapped to a level with value 5.
//!
//! # Interaction with Python GIL
//!
//! Under the hook, the logging routines call into Python. That means they need to acquire the
//! Global Interpreter Lock of Python.
//!
//! This has several consequences. One of them is the above mentioned performance considerations.
//!
//! The other is a risk of deadlocks if threads are used from within the extension code without
//! releasing the GIL.
//!
//! ```rust
//! use std::thread;
//! use log::info;
//! use pyo3::prelude::*;
//!
//! #[pyfunction]
//! fn deadlock() {
//! info!("This logs fine");
//!
//! let background_thread = thread::spawn(|| {
//! info!("This'll deadlock");
//! });
//!
//! background_thread.join().unwrap();
//! }
//! # let _ = deadlock;
//! ```
//!
//! The above code will deadlock, because the `info` call in the background thread needs the GIL
//! that's held by the deadlock function. One needs to give up the GIL to let the other threads
//! run, something like this:
//!
//! ```rust
//! use std::thread;
//! use log::info;
//! use pyo3::prelude::*;
//!
//! #[pyfunction]
//! fn dont_deadlock(py: Python<'_>) {
//! info!("This logs fine");
//!
//! py.allow_threads(|| {
//! let background_thread = thread::spawn(|| {
//! info!("This'll not deadlock");
//! });
//!
//! background_thread.join().unwrap();
//! });
//! }
//! # let _ = dont_deadlock;
//! ```
use std::cmp;
use std::collections::HashMap;
use std::sync::Arc;
use arc_swap::ArcSwap;
use log::{Level, LevelFilter, Log, Metadata, Record, SetLoggerError};
use pyo3::prelude::*;
use pyo3::types::PyTuple;
/// A handle into a [`Logger`], able to reset its caches.
///
/// This handle can be used to manipulate a [`Logger`] even after it has been installed. It's main
/// purpose is to reset the internal caches, for example if the logging settings on the Python side
/// changed.
#[derive(Clone, Debug)]
pub struct ResetHandle(Arc<ArcSwap<CacheNode>>);
impl ResetHandle {
/// Reset the internal logger caches.
///
/// This removes all the cached loggers and levels (if there were any). Future logging calls
/// may cache them again, using the current Python logging settings.
pub fn reset(&self) {
// Overwrite whatever is in the cache directly. This must win in case of any collisions
// (the caching uses compare_and_swap to let the reset win).
self.0.store(Default::default());
}
}
/// What the [`Logger`] can cache.
#[derive(Copy, Clone, Debug, Eq, PartialEq)]
#[non_exhaustive]
pub enum Caching {
/// Disables caching.
///
/// Every time a log message passes the filters, the code goes to the Python side to check if
/// the message shall be logged.
Nothing,
/// Caches the Python `Logger` objects.
///
/// The logger objects (which should stay the same during the lifetime of a Python application)
/// are cached. However, the log levels are not. This means there's some amount of calling of
/// Python code saved during a logging call, but the GIL still needs to be acquired even if the
/// message doesn't eventually get output anywhere.
Loggers,
/// Caches both the Python `Logger` and their respective effective log levels.
///
/// Therefore, once a `Logger` has been cached, it is possible to decide on the Rust side if a
/// message would get logged or not. If the message is not to be logged, no Python code is
/// called and the GIL doesn't have to be acquired.
LoggersAndLevels,
}
impl Default for Caching {
fn default() -> Self {
Caching::LoggersAndLevels
}
}
#[derive(Debug)]
struct CacheEntry {
filter: LevelFilter,
logger: PyObject,
}
impl CacheEntry {
fn clone_ref(&self, py: Python<'_>) -> Self {
CacheEntry {
filter: self.filter,
logger: self.logger.clone_ref(py),
}
}
}
#[derive(Debug, Default)]
struct CacheNode {
local: Option<CacheEntry>,
children: HashMap<String, Arc<CacheNode>>,
}
impl CacheNode {
fn store_to_cache_recursive<'a, P>(
&self,
py: Python<'_>,
mut path: P,
entry: CacheEntry,
) -> Arc<Self>
where
P: Iterator<Item = &'a str>,
{
let mut me = CacheNode {
children: self.children.clone(),
local: self.local.as_ref().map(|e| e.clone_ref(py)),
};
match path.next() {
Some(segment) => {
let child = me.children.entry(segment.to_owned()).or_default();
*child = child.store_to_cache_recursive(py, path, entry);
}
None => me.local = Some(entry),
}
Arc::new(me)
}
}
/// The `Logger`
///
/// The actual `Logger` that can be installed into the Rust side and will send messages over to
/// Python.
///
/// It can be either created directly and then installed, passed to other aggregating log systems,
/// or the [`init`] or [`try_init`] functions may be used if defaults are good enough.
#[derive(Debug)]
pub struct Logger {
/// Filter used as a fallback if none of the `filters` match.
top_filter: LevelFilter,
/// Mapping of filters to modules.
///
/// The most specific one will be used, falling back to `top_filter` if none matches. Stored as
/// full paths, with `::` separaters (eg. before converting them from Rust to Python).
filters: HashMap<String, LevelFilter>,
/// The imported Python `logging` module.
logging: Py<PyModule>,
/// Caching configuration.
caching: Caching,
/// The cache with loggers and level filters.
///
/// The nodes form a tree ‒ each one potentially holding a cache entry (or not) and might have
/// some children.
///
/// When updating, the whole path from the root is cloned in a copy-on-write manner and the Arc
/// here is switched. In case of collisions (eg. someone already replaced the root since
/// starting the update), the update is just thrown away.
cache: Arc<ArcSwap<CacheNode>>,
}
impl Logger {
/// Creates a new logger.
///
/// It defaults to having a filter for [`Debug`][LevelFilter::Debug].
pub fn new(py: Python<'_>, caching: Caching) -> PyResult<Self> {
let logging = py.import("logging")?;
Ok(Self {
top_filter: LevelFilter::Debug,
filters: HashMap::new(),
logging: logging.into(),
caching,
cache: Default::default(),
})
}
/// Installs this logger as the global one.
///
/// When installing, it also sets the corresponding [maximum level][log::set_max_level],
/// constructed using the filters in this logger.
pub fn install(self) -> Result<ResetHandle, SetLoggerError> {
let handle = self.reset_handle();
let level = cmp::max(
self.top_filter,
self.filters
.values()
.copied()
.max()
.unwrap_or(LevelFilter::Off),
);
log::set_boxed_logger(Box::new(self))?;
log::set_max_level(level);
Ok(handle)
}
/// Provides the reset handle of this logger.
///
/// Note that installing the logger also returns a reset handle. This function is available if,
/// for example, the logger will be passed to some other logging system that connects multiple
/// loggers together.
pub fn reset_handle(&self) -> ResetHandle {
ResetHandle(Arc::clone(&self.cache))
}
/// Configures the default logging filter.
///
/// Log messages will be filtered according a filter. If one provided by a
/// [`filter_target`][Logger::filter_target] matches, it takes preference. If none matches,
/// this one is used.
///
/// The default filter if none set is [`Debug`][LevelFilter::Debug].
pub fn filter(mut self, filter: LevelFilter) -> Self {
self.top_filter = filter;
self
}
/// Sets a filter for a specific target, overriding the default.
///
/// This'll match targets with the same name and all the children in the module hierarchy. In
/// case multiple match, the most specific one wins.
///
/// With this configuration, modules will log in the following levels:
///
/// ```rust
/// # use log::LevelFilter;
/// # use pyo3_log::Logger;
///
/// Logger::default()
/// .filter(LevelFilter::Warn)
/// .filter_target("xy".to_owned(), LevelFilter::Debug)
/// .filter_target("xy::aa".to_owned(), LevelFilter::Trace);
/// ```
///
/// * `whatever` => `Warn`
/// * `xy` => `Debug`
/// * `xy::aa` => `Trace`
/// * `xy::aabb` => `Debug`
pub fn filter_target(mut self, target: String, filter: LevelFilter) -> Self {
self.filters.insert(target, filter);
self
}
/// Finds a node in the cache.
///
/// The hierarchy separator is `::`.
fn lookup(&self, target: &str) -> Option<Arc<CacheNode>> {
if self.caching == Caching::Nothing {
return None;
}
let root = self.cache.load();
let mut node: &Arc<CacheNode> = &root;
for segment in target.split("::") {
match node.children.get(segment) {
Some(sub) => node = sub,
None => return None,
}
}
Some(Arc::clone(node))
}
/// Logs stuff
///
/// Returns a logger to be cached, if any. If it already found a cached logger or if caching is
/// turned off, returns None.
fn log_inner(
&self,
py: Python<'_>,
record: &Record,
cache: &Option<Arc<CacheNode>>,
) -> PyResult<Option<PyObject>> {
let msg = format!("{}", record.args());
let log_level = map_level(record.level());
let target = record.target().replace("::", ".");
let cached_logger = cache
.as_ref()
.and_then(|node| node.local.as_ref())
.map(|local| &local.logger);
let (logger, cached) = match cached_logger {
Some(cached) => (cached.bind(py).clone(), true),
None => (
self.logging
.bind(py)
.getattr("getLogger")?
.call1((&target,))?,
false,
),
};
// We need to check for this ourselves. For some reason, the logger.handle does not check
// it. And besides, we can save ourselves few python calls if it's turned off.
if is_enabled_for(&logger, record.level())? {
let none = py.None();
// TODO: kv pairs, if enabled as a feature?
let record = logger.call_method1(
"makeRecord",
(
target,
log_level,
record.file(),
record.line().unwrap_or_default(),
msg,
PyTuple::empty(py), // args
&none, // exc_info
),
)?;
logger.call_method1("handle", (record,))?;
}
let cache_logger = if !cached && self.caching != Caching::Nothing {
Some(logger.into())
} else {
None
};
Ok(cache_logger)
}
fn filter_for(&self, target: &str) -> LevelFilter {
let mut start = 0;
let mut filter = self.top_filter;
while let Some(end) = target[start..].find("::") {
if let Some(f) = self.filters.get(&target[..start + end]) {
filter = *f;
}
start += end + 2;
}
if let Some(f) = self.filters.get(target) {
filter = *f;
}
filter
}
fn enabled_inner(&self, metadata: &Metadata, cache: &Option<Arc<CacheNode>>) -> bool {
let cache_filter = cache
.as_ref()
.and_then(|node| node.local.as_ref())
.map(|local| local.filter)
.unwrap_or_else(LevelFilter::max);
metadata.level() <= cache_filter && metadata.level() <= self.filter_for(metadata.target())
}
fn store_to_cache(&self, py: Python<'_>, target: &str, entry: CacheEntry) {
let path = target.split("::");
let orig = self.cache.load();
// Construct a new cache structure and insert the new root.
let new = orig.store_to_cache_recursive(py, path, entry);
// Note: In case of collision, the cache update is lost. This is fine, as we simply lose a
// tiny bit of performance and will cache the thing next time.
//
// We err on the side of losing it here (instead of overwriting), because if the cache is
// reset, we don't want to re-insert the old value we have.
self.cache.compare_and_swap(orig, new);
}
}
impl Default for Logger {
fn default() -> Self {
Python::with_gil(|py| {
Self::new(py, Caching::LoggersAndLevels).expect("Failed to initialize python logging")
})
}
}
impl Log for Logger {
fn enabled(&self, metadata: &Metadata) -> bool {
let cache = self.lookup(metadata.target());
self.enabled_inner(metadata, &cache)
}
fn log(&self, record: &Record) {
let cache = self.lookup(record.target());
if self.enabled_inner(record.metadata(), &cache) {
Python::with_gil(|py| match self.log_inner(py, record, &cache) {
Ok(Some(logger)) => {
let filter = match self.caching {
Caching::Nothing => unreachable!(),
Caching::Loggers => LevelFilter::max(),
Caching::LoggersAndLevels => extract_max_level(logger.bind(py))
.unwrap_or_else(|e| {
e.print(py);
LevelFilter::max()
}),
};
let entry = CacheEntry { filter, logger };
self.store_to_cache(py, record.target(), entry);
}
Ok(None) => (),
Err(e) => e.print(py),
})
}
}
fn flush(&self) {}
}
fn map_level(level: Level) -> usize {
match level {
Level::Error => 40,
Level::Warn => 30,
Level::Info => 20,
Level::Debug => 10,
Level::Trace => 5,
}
}
fn is_enabled_for(logger: &Bound<'_, PyAny>, level: Level) -> PyResult<bool> {
let level = map_level(level);
logger.call_method1("isEnabledFor", (level,))?.is_truthy()
}
fn extract_max_level(logger: &Bound<'_, PyAny>) -> PyResult<LevelFilter> {
use Level::*;
for l in &[Trace, Debug, Info, Warn, Error] {
if is_enabled_for(logger, *l)? {
return Ok(l.to_level_filter());
}
}
Ok(LevelFilter::Off)
}
/// Installs a default instance of the logger.
///
/// In case a logger is already installed, an error is returned. On success, a handle to reset the
/// internal caches is returned.
///
/// The default logger has a filter set to [`Debug`][LevelFilter::Debug] and caching enabled to
/// [`LoggersAndLevels`][Caching::LoggersAndLevels].
pub fn try_init() -> Result<ResetHandle, SetLoggerError> {
Logger::default().install()
}
/// Similar to [`try_init`], but panics if there's a previous logger already installed.
pub fn init() -> ResetHandle {
try_init().unwrap()
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn default_filter() {
let logger = Logger::default();
assert_eq!(logger.filter_for("hello_world"), LevelFilter::Debug);
assert_eq!(logger.filter_for("hello_world::sub"), LevelFilter::Debug);
}
#[test]
fn set_filter() {
let logger = Logger::default().filter(LevelFilter::Info);
assert_eq!(logger.filter_for("hello_world"), LevelFilter::Info);
assert_eq!(logger.filter_for("hello_world::sub"), LevelFilter::Info);
}
#[test]
fn filter_specific() {
let logger = Logger::default()
.filter(LevelFilter::Warn)
.filter_target("hello_world".to_owned(), LevelFilter::Debug)
.filter_target("hello_world::sub".to_owned(), LevelFilter::Trace);
assert_eq!(logger.filter_for("hello_world"), LevelFilter::Debug);
assert_eq!(logger.filter_for("hello_world::sub"), LevelFilter::Trace);
assert_eq!(
logger.filter_for("hello_world::sub::multi::level"),
LevelFilter::Trace
);
assert_eq!(
logger.filter_for("hello_world::another"),
LevelFilter::Debug
);
assert_eq!(
logger.filter_for("hello_world::another::level"),
LevelFilter::Debug
);
assert_eq!(logger.filter_for("other"), LevelFilter::Warn);
}
}