Files
Oxicloud/src/application/services/file_retrieval_service.rs
T
Claude 78c983136f perf: use Arc<str> for repetitive DTO fields to eliminate clone allocations
Replace String with Arc<str> for fields that contain repeated static
values (mime_type, icon_class, icon_special_class, category) in
FileDto, FolderDto, and OptimizedFileContent.

These fields are computed from ~40 static lookup tables and cloned
on every request. With Arc<str>, clone becomes O(1) atomic increment
instead of O(n) heap allocation — saving thousands of allocations/s
under load.

Fields kept as String: id, name, path, folder_id, owner_id
(unique per item, rarely cloned).

Zero API impact — serde serializes Arc<str> identically to String.

https://claude.ai/code/session_01EbAFEfyJNLRmJHmmYDX3Tt
2026-03-03 15:55:15 +00:00

283 lines
9.9 KiB
Rust
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use bytes::{Bytes, BytesMut};
use futures::{Stream, StreamExt};
use std::pin::Pin;
use std::sync::Arc;
use crate::application::dtos::file_dto::FileDto;
use crate::application::ports::file_ports::{FileRetrievalUseCase, OptimizedFileContent};
use crate::application::ports::storage_ports::FileReadPort;
use crate::common::errors::DomainError;
use tracing::{debug, info};
use crate::infrastructure::repositories::pg::file_blob_read_repository::FileBlobReadRepository;
use crate::infrastructure::services::file_content_cache::FileContentCache;
use crate::infrastructure::services::image_transcode_service::{ImageTranscodeService, OutputFormat};
/// Threshold below which files are served from RAM cache (10 MB).
const CACHE_THRESHOLD: u64 = 10 * 1024 * 1024;
/// Service for file retrieval operations
///
/// Implements a multi-tier download strategy:
/// - Tier 0: Write-behind cache (just-uploaded files still in RAM)
/// - Tier 1: Hot cache + optional WebP transcoding (<10 MB)
/// - Tier 2: Memory-mapped I/O (10–100 MB)
/// - Tier 3: Streaming (≥100 MB)
pub struct FileRetrievalService {
file_read: Arc<FileBlobReadRepository>,
content_cache: Option<Arc<FileContentCache>>,
transcode: Option<Arc<ImageTranscodeService>>,
}
impl FileRetrievalService {
/// Backward-compatible constructor (simple pass-through).
pub fn new(file_repository: Arc<FileBlobReadRepository>) -> Self {
Self {
file_read: file_repository,
content_cache: None,
transcode: None,
}
}
/// Constructor for blob-storage model: read + content cache + transcode.
pub fn new_with_cache(
file_read: Arc<FileBlobReadRepository>,
content_cache: Arc<FileContentCache>,
transcode: Arc<ImageTranscodeService>,
) -> Self {
Self {
file_read,
content_cache: Some(content_cache),
transcode: Some(transcode),
}
}
// ── private helpers ──────────────────────────────────────────
/// Try to transcode image content to WebP and return transcoded variant.
async fn try_transcode(
&self,
id: &str,
content: &Bytes,
mime: &str,
file_size: u64,
accept_webp: bool,
) -> Option<(Bytes, Arc<str>)> {
if !accept_webp {
return None;
}
let transcode = self.transcode.as_ref()?;
if !ImageTranscodeService::should_transcode(mime, file_size) {
return None;
}
let format = OutputFormat::WebP;
match transcode
.get_transcoded(id, content.clone(), mime, format)
.await
{
Ok((transcoded, webp_mime, true)) => {
debug!(
"🖼️ WebP transcode: {} -> {} bytes ({:.0}% smaller)",
content.len(),
transcoded.len(),
(1.0 - transcoded.len() as f64 / content.len().max(1) as f64) * 100.0
);
Some((transcoded, Arc::from(&*webp_mime)))
}
_ => None,
}
}
/// Core multi-tier download logic shared by `get_file_optimized` and
/// `get_file_optimized_preloaded`.
async fn optimized_inner(
&self,
id: &str,
dto: FileDto,
accept_webp: bool,
prefer_original: bool,
) -> Result<(FileDto, OptimizedFileContent), DomainError> {
let mime_type = dto.mime_type.clone();
let file_size = dto.size;
let file_name = dto.name.clone();
let modified_at = dto.modified_at;
let do_transcode = accept_webp && !prefer_original;
// ── Tier 1: Hot cache + transcode (<10 MB) ──────────
if file_size < CACHE_THRESHOLD {
// Check content cache first
if let Some(cache) = &self.content_cache
&& let Some((cached, _etag, _ct)) = cache.get(id).await
{
debug!(
"🔥 TIER 1 Cache HIT: {} ({} bytes)",
file_name,
cached.len()
);
if do_transcode
&& let Some((t, m)) = self
.try_transcode(id, &cached, &mime_type, file_size, true)
.await
{
return Ok((
dto,
OptimizedFileContent::Bytes {
data: t,
mime_type: m,
was_transcoded: true,
},
));
}
return Ok((
dto,
OptimizedFileContent::Bytes {
data: cached,
mime_type: mime_type.clone(),
was_transcoded: false,
},
));
}
// Cache miss – load from disk via streaming (constant 64 KB memory)
debug!("💾 TIER 1 Cache MISS: {} – loading from disk", file_name);
let stream = self.file_read.get_file_stream(id).await?;
let mut stream = std::pin::Pin::from(stream);
let mut buf = BytesMut::with_capacity(file_size as usize);
while let Some(chunk) = stream.next().await {
buf.extend_from_slice(&chunk.map_err(|e| {
DomainError::internal_error("File", format!("Stream read error: {}", e))
})?);
}
let content_bytes = buf.freeze();
// Store in cache
if let Some(cache) = &self.content_cache {
let etag: Arc<str> = format!("\"{}-{}\"", id, modified_at).into();
let ct: Arc<str> = mime_type.clone();
cache
.put(id.to_string(), content_bytes.clone(), etag, ct)
.await;
}
if do_transcode
&& let Some((t, m)) = self
.try_transcode(id, &content_bytes, &mime_type, file_size, true)
.await
{
return Ok((
dto,
OptimizedFileContent::Bytes {
data: t,
mime_type: m,
was_transcoded: true,
},
));
}
return Ok((
dto,
OptimizedFileContent::Bytes {
data: content_bytes,
mime_type: mime_type.clone(),
was_transcoded: false,
},
));
}
// ── Tier 2 + 3: Streaming (≥10 MB) ──────────────────
info!(
"📡 TIER 2 STREAMING: {} ({} MB)",
file_name,
file_size / (1024 * 1024)
);
let stream = self.file_read.get_file_stream(id).await?;
Ok((dto, OptimizedFileContent::Stream(Box::into_pin(stream))))
}
}
impl FileRetrievalUseCase for FileRetrievalService {
async fn get_file(&self, id: &str) -> Result<FileDto, DomainError> {
let file = self.file_read.get_file(id).await?;
Ok(FileDto::from(file))
}
async fn get_file_by_path(&self, path: &str) -> Result<FileDto, DomainError> {
// Direct SQL lookup — O(folder_depth) queries instead of O(total_files)
if let Some(file) = self.file_read.find_file_by_path(path).await? {
return Ok(FileDto::from(file));
}
Err(DomainError::not_found(
"File",
format!("not found at path: {}", path),
))
}
async fn list_files(&self, folder_id: Option<&str>) -> Result<Vec<FileDto>, DomainError> {
let files = self.file_read.list_files(folder_id).await?;
Ok(files.into_iter().map(FileDto::from).collect())
}
async fn get_file_stream(
&self,
id: &str,
) -> Result<Box<dyn Stream<Item = Result<Bytes, std::io::Error>> + Send>, DomainError> {
self.file_read.get_file_stream(id).await
}
/// Multi-tier optimized download.
async fn get_file_optimized(
&self,
id: &str,
accept_webp: bool,
prefer_original: bool,
) -> Result<(FileDto, OptimizedFileContent), DomainError> {
let file = self.file_read.get_file(id).await?;
let dto = FileDto::from(file);
self.optimized_inner(id, dto, accept_webp, prefer_original)
.await
}
/// Like `get_file_optimized` but skips the metadata re-fetch.
async fn get_file_optimized_preloaded(
&self,
id: &str,
file_dto: FileDto,
accept_webp: bool,
prefer_original: bool,
) -> Result<(FileDto, OptimizedFileContent), DomainError> {
self.optimized_inner(id, file_dto, accept_webp, prefer_original)
.await
}
/// Range-based streaming for HTTP Range Requests.
async fn get_file_range_stream(
&self,
id: &str,
start: u64,
end: Option<u64>,
) -> Result<Box<dyn Stream<Item = Result<Bytes, std::io::Error>> + Send>, DomainError> {
self.file_read.get_file_range_stream(id, start, end).await
}
async fn stream_files_in_subtree(
&self,
folder_id: &str,
) -> Result<Pin<Box<dyn Stream<Item = Result<FileDto, DomainError>> + Send>>, DomainError> {
let inner = self.file_read.stream_files_in_subtree(folder_id).await?;
let mapped = inner.map(|r| r.map(FileDto::from));
Ok(Box::pin(mapped))
}
async fn list_files_batch(
&self,
folder_id: Option<&str>,
offset: i64,
limit: i64,
) -> Result<Vec<FileDto>, DomainError> {
let files = self
.file_read
.list_files_batch(folder_id, offset, limit)
.await?;
Ok(files.into_iter().map(FileDto::from).collect())
}
}