Files
proton-drive-linux/crates/pdfs-fuse/src/transfers.rs
T
2026-07-18 19:24:11 +02:00

294 lines
9.3 KiB
Rust

//! In-memory registry of in-flight work, behind [`Request::GetQueueStatus`].
//!
//! Two kinds of work live here. **Transfers** move bytes: the daemon downloads
//! and uploads whole files through the SDK's streaming [`Read`]/[`Write`]
//! variants, and wrapping that reader/writer in a
//! [`CountingReader`]/[`CountingWriter`] lets each block of bytes tick a
//! per-transfer counter without the SDK knowing anything about progress.
//! **Jobs** ([`JobGuard`]) cover the long stretches around them that move no
//! bytes — walking a local tree, creating the remote folder skeleton, indexing
//! `$HOME` — which otherwise look to a front-end exactly like an idle daemon.
//!
//! Both register on creation and deregister on guard drop, so the registry
//! always reflects exactly what is in flight — even if the work fails partway
//! and unwinds.
//!
//! [`Request::GetQueueStatus`]: pdfs_core::control::Request::GetQueueStatus
use parking_lot::Mutex;
use std::collections::HashMap;
use std::io::{Read, Write};
use std::sync::Arc;
use std::sync::atomic::{AtomicU64, Ordering};
use std::time::Instant;
use pdfs_core::control::{JobItem, TransferDirection, TransferItem};
/// One registered transfer. `done` is bumped from the I/O wrapper without the
/// registry lock; the rest is immutable for the transfer's lifetime.
struct Entry {
name: String,
uid: String,
direction: TransferDirection,
total: u64,
done: AtomicU64,
started: Instant,
}
/// One registered job. `detail`/`done`/`total` all move as the job runs; `total`
/// may grow when more work is discovered mid-job.
struct JobEntry {
title: String,
detail: Mutex<String>,
done: AtomicU64,
total: AtomicU64,
}
/// The set of transfers and jobs currently in flight. Cloned `Arc`-style across
/// the FUSE session and the control-socket task (both share one registry via
/// [`Core`]).
#[derive(Default)]
pub struct TransferRegistry {
inner: Mutex<HashMap<u64, Arc<Entry>>>,
jobs: Mutex<HashMap<u64, Arc<JobEntry>>>,
next: AtomicU64,
}
impl TransferRegistry {
pub fn new() -> Arc<Self> {
Arc::new(Self::default())
}
/// Register a new transfer of `total` bytes (`0` = unknown), returning a
/// guard that tracks progress and deregisters the transfer when dropped.
pub fn begin(
self: &Arc<Self>,
name: impl Into<String>,
uid: impl Into<String>,
direction: TransferDirection,
total: u64,
) -> TransferGuard {
let id = self.next.fetch_add(1, Ordering::Relaxed);
let entry = Arc::new(Entry {
name: name.into(),
uid: uid.into(),
direction,
total,
done: AtomicU64::new(0),
started: Instant::now(),
});
self.inner.lock().insert(id, entry.clone());
TransferGuard {
reg: self.clone(),
id,
entry,
}
}
/// Register a long-running non-transfer job titled `title`, returning a guard
/// that carries its progress and deregisters the job when dropped. The job
/// starts indeterminate; give it a `total` once one is known.
pub fn begin_job(self: &Arc<Self>, title: impl Into<String>) -> JobGuard {
let id = self.next.fetch_add(1, Ordering::Relaxed);
let entry = Arc::new(JobEntry {
title: title.into(),
detail: Mutex::new(String::new()),
done: AtomicU64::new(0),
total: AtomicU64::new(0),
});
self.jobs.lock().insert(id, entry.clone());
JobGuard {
reg: self.clone(),
id,
entry,
}
}
/// Snapshot every in-flight job for [`Response::Transfers`], oldest first, so
/// a front-end's rows keep their order across polls.
///
/// [`Response::Transfers`]: pdfs_core::control::Response::Transfers
pub fn jobs_snapshot(&self) -> Vec<JobItem> {
let map = self.jobs.lock();
let mut ids: Vec<_> = map.keys().copied().collect();
ids.sort_unstable();
ids.iter()
.map(|id| {
let e = &map[id];
JobItem {
title: e.title.clone(),
detail: e.detail.lock().clone(),
done: e.done.load(Ordering::Relaxed),
total: e.total.load(Ordering::Relaxed),
}
})
.collect()
}
/// Snapshot every in-flight transfer for [`Response::Transfers`], oldest
/// first so a front-end's rows keep their order across polls. Speed is the
/// running average since the transfer began — simple, and stable enough for a
/// progress widget without per-tick sampling state.
///
/// [`Response::Transfers`]: pdfs_core::control::Response::Transfers
pub fn snapshot(&self) -> Vec<TransferItem> {
let map = self.inner.lock();
let mut ids: Vec<_> = map.keys().copied().collect();
ids.sort_unstable();
ids.iter()
.map(|id| &map[id])
.map(|e| {
let done = e.done.load(Ordering::Relaxed);
let secs = e.started.elapsed().as_secs_f64();
let speed = if secs > 0.0 {
(done as f64 / secs) as u64
} else {
0
};
TransferItem {
uid: e.uid.clone(),
name: e.name.clone(),
direction: e.direction,
bytes_completed: done,
bytes_total: e.total,
speed_bytes_sec: speed,
}
})
.collect()
}
}
/// Lifetime handle for a registered transfer: tick progress with [`add`], and
/// the transfer leaves the registry when this drops.
///
/// [`add`]: TransferGuard::add
pub struct TransferGuard {
reg: Arc<TransferRegistry>,
id: u64,
entry: Arc<Entry>,
}
impl TransferGuard {
/// Record `n` more bytes moved.
pub fn add(&self, n: u64) {
self.entry.done.fetch_add(n, Ordering::Relaxed);
}
}
impl Drop for TransferGuard {
fn drop(&mut self) {
self.reg.inner.lock().remove(&self.id);
}
}
/// Lifetime handle for a registered job: describe what it is doing with
/// [`detail`], size it with [`set_total`], advance it with [`step`], and the job
/// leaves the registry when this drops. Shared across the tasks of one batch as
/// an `Arc`, so a concurrent phase can report a single "N of M" line.
///
/// [`detail`]: JobGuard::detail
/// [`set_total`]: JobGuard::set_total
/// [`step`]: JobGuard::step
pub struct JobGuard {
reg: Arc<TransferRegistry>,
id: u64,
entry: Arc<JobEntry>,
}
impl JobGuard {
/// Say what the job is working on right now; empty clears it.
pub fn detail(&self, what: impl Into<String>) {
*self.entry.detail.lock() = what.into();
}
/// Set how many steps the job now knows it has. Safe to raise mid-job as more
/// work is discovered.
pub fn set_total(&self, total: u64) {
self.entry.total.store(total, Ordering::Relaxed);
}
/// Mark one more step done.
pub fn step(&self) {
self.entry.done.fetch_add(1, Ordering::Relaxed);
}
}
impl Drop for JobGuard {
fn drop(&mut self) {
self.reg.jobs.lock().remove(&self.id);
}
}
/// A [`Write`] that tallies bytes written to a [`TransferGuard`] (download path).
pub struct CountingWriter<'a, W> {
inner: W,
guard: &'a TransferGuard,
}
impl<'a, W: Write> CountingWriter<'a, W> {
pub fn new(inner: W, guard: &'a TransferGuard) -> Self {
Self { inner, guard }
}
pub fn into_inner(self) -> W {
self.inner
}
}
impl<W: Write> Write for CountingWriter<'_, W> {
fn write(&mut self, buf: &[u8]) -> std::io::Result<usize> {
let n = self.inner.write(buf)?;
self.guard.add(n as u64);
Ok(n)
}
fn flush(&mut self) -> std::io::Result<()> {
self.inner.flush()
}
}
/// A [`Read`] that tallies bytes read and *owns* its [`TransferGuard`], so the
/// transfer stays registered exactly as long as the reader lives. Used by the
/// concurrent bulk uploader, where each task hands its reader to the SDK and has
/// nowhere separate to park the guard; the transfer deregisters when the SDK
/// drops the reader after sealing the revision. Owning (rather than borrowing)
/// also keeps each upload future `Send + 'static` for [`tokio::task::spawn`].
pub struct OwnedCountingReader<R> {
inner: R,
guard: TransferGuard,
}
impl<R: Read> OwnedCountingReader<R> {
pub fn new(inner: R, guard: TransferGuard) -> Self {
Self { inner, guard }
}
}
impl<R: Read> Read for OwnedCountingReader<R> {
fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {
let n = self.inner.read(buf)?;
self.guard.add(n as u64);
Ok(n)
}
}
/// A [`Read`] that tallies bytes read through a [`TransferGuard`] (upload path).
pub struct CountingReader<'a, R> {
inner: R,
guard: &'a TransferGuard,
}
impl<'a, R: Read> CountingReader<'a, R> {
pub fn new(inner: R, guard: &'a TransferGuard) -> Self {
Self { inner, guard }
}
}
impl<R: Read> Read for CountingReader<'_, R> {
fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {
let n = self.inner.read(buf)?;
self.guard.add(n as u64);
Ok(n)
}
}