update code level

This commit is contained in:
lychang
2026-03-25 18:31:11 +08:00
parent b7118bd4b9
commit f6c9141449
10 changed files with 962 additions and 102 deletions

1
Cargo.lock generated
View File

@@ -1236,6 +1236,7 @@ dependencies = [
"serde",
"serde_json",
"sqlx",
"thiserror",
"tokio",
"tracing",
"tracing-subscriber",

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@@ -17,4 +17,5 @@ reqwest = { version = "0.11", default-features = false, features = ["blocking","
config = "0.13"
rand = "0.8"
tracing = "0.1"
tracing-subscriber = "0.3"
tracing-subscriber = "0.3"
thiserror = "1.0"

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@@ -8,3 +8,9 @@ port = 8080
[storage]
images_dir = "./albums"
thumbnails_dir = "./thumbnails"
[queue]
max_concurrent_tasks = 6
queue_size_limit = 200
high_request_rate_threshold = 200.0
idle_request_rate_threshold = 10.0

View File

@@ -7,6 +7,7 @@ pub struct Config {
pub database: DatabaseConfig,
pub server: ServerConfig,
pub storage: StorageConfig,
pub queue: QueueConfig,
}
@@ -27,6 +28,14 @@ pub struct StorageConfig {
pub thumbnails_dir: PathBuf,
}
#[derive(Debug, Deserialize, Clone)]
pub struct QueueConfig {
pub max_concurrent_tasks: usize,
pub queue_size_limit: usize,
pub high_request_rate_threshold: f64,
pub idle_request_rate_threshold: f64,
}
impl Config {
pub fn load() -> Result<Self, config::ConfigError> {
let config = config::Config::builder()

View File

@@ -3,6 +3,30 @@ use std::fs;
use image::{GenericImageView, ImageFormat};
use uuid::Uuid;
use crate::config::StorageConfig;
use thiserror::Error;
#[derive(Error, Debug)]
pub enum ImageProcessorError {
#[error("IO error: {0}")]
Io(#[from] std::io::Error),
#[error("Image processing error: {0}")]
Image(#[from] image::ImageError),
#[error("Invalid image data")]
InvalidData,
}
// 手动实现 From<reqwest::Error> 以支持 ? 操作符
impl From<reqwest::Error> for ImageProcessorError {
fn from(err: reqwest::Error) -> Self {
ImageProcessorError::Io(std::io::Error::new(std::io::ErrorKind::Other, err.to_string()))
}
}
impl ImageProcessorError {
pub fn is_send(&self) -> bool {
true
}
}
pub struct ImageProcessor {
pub config: StorageConfig,
@@ -17,7 +41,7 @@ impl ImageProcessor {
Self { config }
}
pub async fn save_image(&self, image_data: &[u8], filename: &str) -> Result<ImageInfo, Box<dyn std::error::Error>> {
pub async fn save_image(&self, image_data: &[u8], filename: &str) -> Result<ImageInfo, ImageProcessorError> {
let image_id = Uuid::new_v4();
let file_extension = Path::new(filename)
.extension()
@@ -56,7 +80,7 @@ impl ImageProcessor {
output_path: &Path,
_max_width: u32,
_max_height: u32,
) -> Result<(), Box<dyn std::error::Error>> {
) -> Result<(), ImageProcessorError> {
// 使用统一的缩略图尺寸(400x300,保持宽高比)
let thumbnail = img.thumbnail(400, 300);
@@ -81,7 +105,7 @@ impl ImageProcessor {
}
/// 快速生成缩略图(低质量但快速)
pub async fn generate_fast_thumbnail(&self, image_data: &[u8], _filename: &str) -> Result<Vec<u8>, Box<dyn std::error::Error>> {
pub async fn generate_fast_thumbnail(&self, image_data: &[u8], _filename: &str) -> Result<Vec<u8>, ImageProcessorError> {
// 使用快速解码和缩放
let img = image::load_from_memory(image_data)?;
@@ -130,7 +154,7 @@ impl ImageProcessor {
&self,
url: &str,
filename: &str,
) -> Result<ImageInfo, Box<dyn std::error::Error>> {
) -> Result<ImageInfo, ImageProcessorError> {
let response = reqwest::get(url).await?;
let image_data = response.bytes().await?;
@@ -142,7 +166,7 @@ impl ImageProcessor {
&self,
image_data: &[u8],
thumbnail_filename: &str,
) -> Result<(), Box<dyn std::error::Error>> {
) -> Result<(), ImageProcessorError> {
// 使用统一的缩略图生成方法
let thumbnail_data = self.generate_thumbnail_from_memory(image_data, thumbnail_filename).await?;
@@ -161,7 +185,7 @@ impl ImageProcessor {
&self,
image_data: &[u8],
_thumbnail_filename: &str,
) -> Result<Vec<u8>, Box<dyn std::error::Error>> {
) -> Result<Vec<u8>, ImageProcessorError> {
// 加载图片
let img = image::load_from_memory(image_data)?;

View File

@@ -54,13 +54,8 @@ async fn batch_insert_images_and_set_cover(
}
}
#[derive(Debug, Deserialize)]
struct AlbumIndex {
title: String,
images: Vec<String>,
}
pub async fn import_existing_data(config: &Config, db: Arc<Database>) -> Result<(), Box<dyn std::error::Error>> {
pub async fn import_existing_data(config: &Config, db: Arc<Database>, task_queue: Option<Arc<crate::queue::TaskQueue>>) -> Result<(), Box<dyn std::error::Error>> {
println!("开始扫描图片目录并导入新相册...");
let albums_dir = Path::new(&config.storage.images_dir);
@@ -147,32 +142,62 @@ pub async fn import_existing_data(config: &Config, db: Arc<Database>) -> Result<
return Ok(());
}
// 第二阶段:串行处理相册导入,避免数据库死锁
// 对于SQLite,高并发写入容易导致死锁,改为串行处理
let mut total_imported = 0;
let mut successful_albums = 0;
for (folder_name, path) in album_folders {
println!("📁 开始导入相册: {}", folder_name);
// 如果有队列系统,使用队列异步处理相册导入
if let Some(queue) = task_queue {
println!("🚀 使用队列系统异步导入相册...");
match import_single_album(&db, &folder_name, &path).await {
Ok(count) => {
if count > 0 {
successful_albums += 1;
total_imported += count;
println!("✅ 相册 {} 导入完成,共导入 {} 张图片", folder_name, count);
} else {
println!("⚠️ 相册 {} 没有图片需要导入", folder_name);
}
}
Err(e) => {
eprintln!("❌ 相册 {} 导入失败: {}", folder_name, e);
// 继续处理下一个相册,不中断整个导入过程
for (folder_name, path) in album_folders {
println!("📁 添加相册导入任务: {}", folder_name);
// 创建相册导入任务
let relative_path = path.strip_prefix(&config.storage.images_dir)
.unwrap_or(&path)
.to_string_lossy()
.to_string();
let task = crate::queue::TaskFactory::create_album_import_task(
relative_path,
None,
);
// 添加任务到队列
if let Err(e) = queue.add_task(task).await {
eprintln!("❌ 添加相册导入任务失败: {}", e);
} else {
println!("✅ 相册导入任务已添加到队列: {}", folder_name);
}
}
println!("🎉 所有相册导入任务已添加到队列,将由AlbumImportWorker异步处理");
} else {
// 如果没有队列系统,使用原来的串行处理方式
println!("⚠️ 队列系统不可用,使用串行处理方式导入相册...");
let mut total_imported = 0;
let mut successful_albums = 0;
for (folder_name, path) in album_folders {
println!("📁 开始导入相册: {}", folder_name);
match import_single_album(&db, &folder_name, &path).await {
Ok(count) => {
if count > 0 {
successful_albums += 1;
total_imported += count;
println!("✅ 相册 {} 导入完成,共导入 {} 张图片", folder_name, count);
} else {
println!("⚠️ 相册 {} 没有图片需要导入", folder_name);
}
}
Err(e) => {
eprintln!("❌ 相册 {} 导入失败: {}", folder_name, e);
// 继续处理下一个相册,不中断整个导入过程
}
}
}
println!("🎉 导入完成!成功导入 {} 个相册,共 {} 张图片", successful_albums, total_imported);
}
println!("🎉 导入完成!成功导入 {} 个相册,共 {} 张图片", successful_albums, total_imported);
Ok(())
}
@@ -308,7 +333,7 @@ async fn import_single_album(db: &Database, folder_name: &str, path: &Path) -> R
}
/// 快速扫描图片文件
fn scan_image_files(path: &Path, _folder_name: &str) -> Result<Vec<(String, std::path::PathBuf)>, Box<dyn std::error::Error>> {
pub(crate) fn scan_image_files(path: &Path, _folder_name: &str) -> Result<Vec<(String, std::path::PathBuf)>, Box<dyn std::error::Error>> {
let mut image_files = Vec::new();
for entry in fs::read_dir(path)? {
@@ -483,7 +508,7 @@ async fn generate_thumbnail_for_image(
Ok(())
}
Err(e) => {
Err(format!("缩略图生成失败: {}", e).into())
Err(format!("缩略图生成失败: {:?}", e).into())
}
}
}

View File

@@ -4,13 +4,14 @@ mod image_processor;
mod import;
mod models;
mod routes;
mod queue;
use actix_files as afs;
use actix_web::{App, HttpResponse, HttpServer, web, middleware};
use std::fs;
use std::sync::Arc;
use tokio::time::{interval, Duration};
use tracing::{info, error, warn, debug};
use tracing::{info, error};
use crate::models::AlbumsCache;
#[actix_web::main]
@@ -42,19 +43,46 @@ async fn main() -> std::io::Result<()> {
}
};
let image_processor = Arc::new(image_processor::ImageProcessor::new(config.storage.clone()));
// 初始化智能任务队列
let task_queue = Arc::new(queue::TaskQueue::new(
config.queue.max_concurrent_tasks, // 最大并发任务数
config.queue.queue_size_limit, // 队列大小限制
config.queue.high_request_rate_threshold, // 高请求频率阈值
config.queue.idle_request_rate_threshold, // 空闲请求频率阈值
));
// 在后台线程中自动导入新相册(不阻塞HTTP服务启动)
let config_clone = config.clone();
let db_clone = Arc::clone(&db);
let task_queue_clone = Arc::clone(&task_queue);
tokio::spawn(async move {
info!("[后台任务] 开始扫描图片目录并导入新相册...");
match import::import_existing_data(&config_clone, db_clone).await {
match import::import_existing_data(&config_clone, db_clone, Some(task_queue_clone)).await {
Ok(_) => info!("[后台任务] 相册导入完成"),
Err(e) => error!("[后台任务] 相册导入失败: {}", e),
}
});
// 初始化图片处理器
let image_processor = Arc::new(image_processor::ImageProcessor::new(config.storage.clone()));
// 启动缩略图生成Worker
let thumbnail_worker = queue::ThumbnailWorker::new(
Arc::clone(&task_queue),
Arc::clone(&image_processor),
);
tokio::spawn(async move {
thumbnail_worker.start().await;
});
// 启动相册导入Worker
let album_import_worker = queue::AlbumImportWorker::new(
Arc::clone(&task_queue),
Arc::clone(&db),
config.storage.clone(),
);
tokio::spawn(async move {
album_import_worker.start().await;
});
// 初始化相册内存缓存
let albums_cache = Arc::new(tokio::sync::RwLock::new(AlbumsCache::new()));
@@ -128,6 +156,7 @@ async fn main() -> std::io::Result<()> {
.app_data(web::Data::new(Arc::clone(&db)))
.app_data(web::Data::new(Arc::clone(&image_processor)))
.app_data(web::Data::new(Arc::clone(&albums_cache)))
.app_data(web::Data::new(Arc::clone(&task_queue)))
// API路由
.route("/api/albums", web::get().to(routes::get_albums))
.route("/api/search", web::get().to(routes::search_albums))
@@ -142,6 +171,8 @@ async fn main() -> std::io::Result<()> {
.route("/api/favorites", web::post().to(routes::add_favorite))
.route("/api/favorites/{id}", web::delete().to(routes::remove_favorite))
.route("/api/favorites/image/{id}", web::delete().to(routes::remove_favorite_by_image))
// 队列状态API路由
.route("/api/queue/stats", web::get().to(routes::get_queue_stats))
// 静态文件服务 - 启用缓存
.service(afs::Files::new("/assets", "./assets")
.show_files_listing()

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@@ -1,7 +1,7 @@
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use tracing::info;
use uuid::Uuid;
use tracing::{info, error, warn, debug};
#[derive(Debug, Serialize, Deserialize)]
pub struct Album {
@@ -94,7 +94,11 @@ pub struct FavoriteStatus {
pub is_favorited: bool,
pub favorite_id: Option<Uuid>,
}
#[derive(Debug, Deserialize)]
pub struct AlbumIndex {
pub title: String,
pub images: Vec<String>,
}
// 内存缓存结构
#[derive(Debug, Clone)]
pub struct AlbumsCache {
@@ -121,43 +125,47 @@ impl AlbumsCache {
pub fn update(&mut self, albums: Vec<AlbumInfo>) {
self.albums = albums.clone();
self.last_updated = chrono::Utc::now();
// 构建搜索索引
self.search_index.clear();
for album in &self.albums {
let title_lower = album.title.to_lowercase();
// 为每个单词创建索引
for word in title_lower.split_whitespace() {
if word.len() >= 2 { // 只索引长度>=2的单词
if word.len() >= 2 {
// 只索引长度>=2的单词
self.search_index
.entry(word.to_string())
.or_insert_with(Vec::new)
.push(album.clone());
}
}
// 为完整标题创建索引
self.search_index
.entry(title_lower.clone())
.or_insert_with(Vec::new)
.push(album.clone());
}
info!("相册缓存已更新,共 {} 个相册,{} 个搜索索引项",
self.albums.len(), self.search_index.len());
info!(
"相册缓存已更新,共 {} 个相册,{} 个搜索索引项",
self.albums.len(),
self.search_index.len()
);
}
pub fn search(&self, query: &str) -> Vec<AlbumInfo> {
let query_lower = query.to_lowercase().trim().to_string();
if query_lower.is_empty() {
return Vec::new();
}
let mut results = Vec::new();
let mut seen_ids = std::collections::HashSet::new();
// 1. 搜索完整匹配(最高优先级)
if let Some(matches) = self.search_index.get(&query_lower) {
for album in matches {
@@ -166,10 +174,11 @@ impl AlbumsCache {
}
}
}
// 2. 搜索单词匹配
for word in query_lower.split_whitespace() {
if word.len() >= 2 { // 只搜索长度>=2的单词
if word.len() >= 2 {
// 只搜索长度>=2的单词
if let Some(matches) = self.search_index.get(word) {
for album in matches {
if seen_ids.insert(album.id) {
@@ -179,15 +188,17 @@ impl AlbumsCache {
}
}
}
// 3. 模糊搜索:在相册标题和描述中搜索包含查询词的结果
if results.is_empty() {
for album in &self.albums {
let title_lower = album.title.to_lowercase();
let description_lower = album.description.as_ref()
let description_lower = album
.description
.as_ref()
.map(|d| d.to_lowercase())
.unwrap_or_default();
// 检查标题或描述是否包含搜索词
if title_lower.contains(&query_lower) || description_lower.contains(&query_lower) {
if seen_ids.insert(album.id) {
@@ -196,23 +207,24 @@ impl AlbumsCache {
}
}
}
// 4. 如果还没有结果,尝试部分匹配(更宽松的搜索)
if results.is_empty() && query_lower.len() >= 2 {
for album in &self.albums {
let title_lower = album.title.to_lowercase();
// 检查标题是否包含搜索词的任何部分
if query_lower.split_whitespace().any(|word|
word.len() >= 2 && title_lower.contains(word)
) {
if query_lower
.split_whitespace()
.any(|word| word.len() >= 2 && title_lower.contains(word))
{
if seen_ids.insert(album.id) {
results.push(album.clone());
}
}
}
}
results
}
}

723
src/queue.rs Normal file
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@@ -0,0 +1,723 @@
use serde::{Deserialize, Serialize};
use std::collections::VecDeque;
use std::sync::Arc;
use std::sync::atomic::{AtomicBool, AtomicUsize, AtomicU64, Ordering};
use std::time::{Duration, Instant};
use tokio::sync::{Mutex, Notify};
use tokio::time::sleep;
use tracing::{info, warn, error, debug};
use uuid::Uuid;
use image::GenericImageView;
use crate::models::{AlbumIndex, CreateAlbum, CreateImage};
/// 任务类型
#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub enum TaskType {
ThumbnailGeneration, // 缩略图生成
AlbumImport, // 相册导入
}
/// 任务优先级
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord)]
pub enum TaskPriority {
High = 0, // 前端请求的缩略图
Medium = 1, // 相册导入
Low = 2, // 后台质量升级
}
/// 通用任务结构
#[derive(Debug, Clone)]
pub struct Task {
pub id: Uuid,
pub task_type: TaskType,
pub priority: TaskPriority,
pub created_at: Instant,
pub data: TaskData,
}
/// 任务数据
#[derive(Debug, Clone)]
pub enum TaskData {
ThumbnailGeneration {
image_id: Uuid,
original_data: Vec<u8>,
},
AlbumImport {
album_path: String,
album_data: Option<Vec<u8>>,
},
}
/// 队列统计信息
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QueueStats {
pub pending_tasks: usize,
pub active_tasks: usize,
pub completed_tasks: usize,
pub failed_tasks: usize,
pub queue_size_limit: usize,
pub is_paused: bool,
pub task_type_stats: Vec<TaskTypeStats>,
// HTTP请求频率信息
pub request_frequency: f64,
pub request_count: u64,
}
/// 任务类型统计
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TaskTypeStats {
pub task_type: TaskType,
pub pending: usize,
pub completed: usize,
pub failed: usize,
}
/// 智能任务队列
pub struct TaskQueue {
queue: Mutex<VecDeque<Task>>,
active_tasks: AtomicUsize,
completed_tasks: AtomicUsize,
failed_tasks: AtomicUsize,
max_concurrent_tasks: usize,
queue_size_limit: usize,
is_paused: AtomicBool,
notify: Notify,
last_activity: Mutex<Instant>,
// HTTP请求频率监控
request_count: AtomicU64,
last_request_time: Mutex<Instant>,
request_window: Duration,
// 配置阈值
high_request_rate_threshold: f64,
idle_request_rate_threshold: f64,
}
impl TaskQueue {
pub fn new(max_concurrent_tasks: usize, queue_size_limit: usize, high_request_rate_threshold: f64, idle_request_rate_threshold: f64) -> Self {
Self {
queue: Mutex::new(VecDeque::new()),
active_tasks: AtomicUsize::new(0),
completed_tasks: AtomicUsize::new(0),
failed_tasks: AtomicUsize::new(0),
max_concurrent_tasks,
queue_size_limit,
is_paused: AtomicBool::new(false),
notify: Notify::new(),
last_activity: Mutex::new(Instant::now()),
// HTTP请求频率监控
request_count: AtomicU64::new(0),
last_request_time: Mutex::new(Instant::now()),
request_window: Duration::from_secs(10),
// 配置阈值
high_request_rate_threshold,
idle_request_rate_threshold,
}
}
/// 添加任务到队列
pub async fn add_task(&self, task: Task) -> Result<(), String> {
let mut queue = self.queue.lock().await;
// 检查队列是否已满
if queue.len() >= self.queue_size_limit {
return Err("队列已满,无法添加新任务".to_string());
}
// 检查是否已有相同ID的任务
if queue.iter().any(|t| t.id == task.id) {
return Err("该任务已在队列中".to_string());
}
// 根据优先级插入任务(高优先级在前)
let insert_position = queue
.iter()
.position(|t| t.priority > task.priority)
.unwrap_or(queue.len());
queue.insert(insert_position, task);
// 更新最后活动时间
*self.last_activity.lock().await = Instant::now();
// 通知工作线程
self.notify.notify_one();
debug!("任务已添加到队列,当前队列大小: {}", queue.len());
Ok(())
}
/// 从队列获取下一个任务
pub async fn next_task(&self) -> Option<Task> {
// 检查是否暂停
if self.is_paused.load(Ordering::Acquire) {
return None;
}
// 检查并发任务数量
if self.active_tasks.load(Ordering::Acquire) >= self.max_concurrent_tasks {
return None;
}
let mut queue = self.queue.lock().await;
if let Some(task) = queue.pop_front() {
self.active_tasks.fetch_add(1, Ordering::Release);
Some(task)
} else {
None
}
}
/// 标记任务完成
pub fn task_completed(&self, success: bool) {
self.active_tasks.fetch_sub(1, Ordering::Release);
if success {
self.completed_tasks.fetch_add(1, Ordering::Release);
} else {
self.failed_tasks.fetch_add(1, Ordering::Release);
}
}
/// 暂停队列处理
pub fn pause(&self) {
self.is_paused.store(true, Ordering::Release);
info!("任务队列已暂停");
}
/// 恢复队列处理
pub fn resume(&self) {
self.is_paused.store(false, Ordering::Release);
self.notify.notify_one();
info!("任务队列已恢复");
}
/// 记录HTTP请求(在每次HTTP请求处理时调用)
pub async fn record_http_request(&self) {
let now = Instant::now();
let mut last_request_time = self.last_request_time.lock().await;
// 如果距离上次请求时间超过了窗口时间,重置计数器
if now.duration_since(*last_request_time) > self.request_window {
self.request_count.store(0, Ordering::Release);
}
// 增加请求计数
self.request_count.fetch_add(1, Ordering::Release);
*last_request_time = now;
}
/// 获取当前请求频率(请求数/秒)
pub fn get_request_frequency(&self) -> f64 {
let request_count = self.request_count.load(Ordering::Acquire) as f64;
let window_seconds = self.request_window.as_secs_f64();
if window_seconds > 0.0 {
request_count / window_seconds
} else {
0.0
}
}
/// 检查服务器负载是否过高(基于HTTP请求频率)
pub async fn is_server_busy(&self) -> bool {
let request_frequency = self.get_request_frequency();
// 基于HTTP请求频率判断业务繁忙度
// 高请求频率(超过配置阈值)时认为服务器繁忙
let is_high_request_rate = request_frequency > self.high_request_rate_threshold;
// 如果请求频率高,或者并发任务/队列大小超过阈值,认为服务器繁忙
is_high_request_rate
}
/// 获取队列统计信息
pub async fn get_stats(&self) -> QueueStats {
let queue = self.queue.lock().await;
// 按任务类型统计
let mut type_stats = std::collections::HashMap::new();
for task in queue.iter() {
let stats = type_stats
.entry(task.task_type.clone())
.or_insert((0, 0, 0));
stats.0 += 1; // pending
}
let task_type_stats = type_stats
.into_iter()
.map(|(task_type, (pending, completed, failed))| TaskTypeStats {
task_type,
pending,
completed,
failed,
})
.collect();
QueueStats {
pending_tasks: queue.len(),
active_tasks: self.active_tasks.load(Ordering::Acquire),
completed_tasks: self.completed_tasks.load(Ordering::Acquire),
failed_tasks: self.failed_tasks.load(Ordering::Acquire),
queue_size_limit: self.queue_size_limit,
is_paused: self.is_paused.load(Ordering::Acquire),
task_type_stats,
// 添加请求频率信息
request_frequency: self.get_request_frequency(),
request_count: self.request_count.load(Ordering::Acquire),
}
}
/// 清理过期的任务(超过一定时间的任务)
pub async fn cleanup_expired_tasks(&self, max_age: Duration) {
let mut queue = self.queue.lock().await;
let now = Instant::now();
let initial_len = queue.len();
queue.retain(|task| now.duration_since(task.created_at) <= max_age);
let removed_count = initial_len - queue.len();
if removed_count > 0 {
warn!("清理了 {} 个过期任务", removed_count);
}
}
/// 等待队列变为空闲状态
pub async fn wait_for_idle(&self, timeout: Duration) -> bool {
let start = Instant::now();
while start.elapsed() < timeout {
sleep(Duration::from_millis(100)).await;
}
false
}
}
/// 缩略图生成Worker
pub struct ThumbnailWorker {
queue: Arc<TaskQueue>,
image_processor: Arc<crate::image_processor::ImageProcessor>,
}
impl ThumbnailWorker {
pub fn new(
queue: Arc<TaskQueue>,
image_processor: Arc<crate::image_processor::ImageProcessor>,
) -> Self {
Self {
queue,
image_processor,
}
}
/// 启动缩略图Worker
pub async fn start(self) {
info!("启动缩略图生成Worker");
loop {
// 检查队列中是否有任务
if let Some(task) = self.queue.next_task().await {
if matches!(task.task_type, TaskType::ThumbnailGeneration) {
debug!("缩略图Worker开始处理任务: {:?}", task.id);
let success = self.process_thumbnail_task(task).await;
self.queue.task_completed(success);
// 在处理完每个任务后检查服务器负载
if self.queue.is_server_busy().await {
info!("服务器负载较高,暂停队列处理");
self.queue.pause();
// 每30秒检查一次服务器状态,直到服务器不忙时恢复队列
loop {
tokio::time::sleep(Duration::from_secs(30)).await;
if !self.queue.is_server_busy().await {
info!("服务器负载恢复正常,恢复队列处理");
self.queue.resume();
break;
}
info!("服务器仍然繁忙,继续等待...");
}
}
} else {
// 如果不是缩略图任务,放回队列
let mut queue = self.queue.queue.lock().await;
queue.push_front(task);
}
} else {
// 队列为空,等待新任务通知
self.queue.notify.notified().await;
}
// 短暂休眠避免CPU占用过高
sleep(Duration::from_millis(100)).await;
}
}
/// 处理缩略图任务
async fn process_thumbnail_task(&self, task: Task) -> bool {
if let TaskData::ThumbnailGeneration {
image_id,
original_data,
} = task.data
{
// 使用具体的错误处理,避免 Send trait 问题
let result = self
.image_processor
.generate_thumbnail_from_memory(&original_data, &image_id.to_string())
.await;
match result {
Ok(thumbnail_data) => {
// 保存缩略图到文件
let thumbnail_path = self
.image_processor
.config
.thumbnails_dir
.join(image_id.to_string());
match tokio::fs::write(&thumbnail_path, &thumbnail_data).await {
Ok(_) => {
info!("✅ 缩略图生成成功: {:?}", image_id);
true
}
Err(e) => {
warn!("保存缩略图失败: {:?} - {}", image_id, e);
false
}
}
}
Err(e) => {
warn!("缩略图生成失败: {:?} - {:?}", image_id, e);
false
}
}
} else {
warn!("任务类型不匹配,期望缩略图生成任务");
false
}
}
}
/// 相册导入Worker
pub struct AlbumImportWorker {
queue: Arc<TaskQueue>,
db: Arc<crate::database::Database>,
config: crate::config::StorageConfig,
}
impl AlbumImportWorker {
pub fn new(
queue: Arc<TaskQueue>,
db: Arc<crate::database::Database>,
config: crate::config::StorageConfig,
) -> Self {
Self { queue, db, config }
}
/// 启动相册导入Worker
pub async fn start(self) {
info!("启动相册导入Worker");
loop {
// 检查队列中是否有任务
if let Some(task) = self.queue.next_task().await {
if matches!(task.task_type, TaskType::AlbumImport) {
debug!("相册导入Worker开始处理任务: {:?}", task.id);
let success = self.process_album_import_task(task).await;
self.queue.task_completed(success);
// 在处理完每个任务后检查服务器负载
if self.queue.is_server_busy().await {
info!("服务器负载较高,暂停队列处理");
self.queue.pause();
// 每30秒检查一次服务器状态,直到服务器不忙时恢复队列
loop {
tokio::time::sleep(Duration::from_secs(30)).await;
if !self.queue.is_server_busy().await {
info!("服务器负载恢复正常,恢复队列处理");
self.queue.resume();
break;
}
info!("服务器仍然繁忙,继续等待...");
}
}
} else {
// 如果不是相册导入任务,放回队列并减少active_tasks计数器
let mut queue = self.queue.queue.lock().await;
queue.push_front(task);
// 手动减少active_tasks计数器,因为任务没有被处理
self.queue.active_tasks.fetch_sub(1, Ordering::Release);
}
} else {
// 队列为空,等待新任务通知
self.queue.notify.notified().await;
}
// 短暂休眠避免CPU占用过高
sleep(Duration::from_millis(100)).await;
}
}
/// 处理相册导入任务
async fn process_album_import_task(&self, task: Task) -> bool {
if let TaskData::AlbumImport {
album_path,
album_data: _,
} = task.data
{
info!("开始处理相册导入任务: {}", album_path);
// 将相对路径与images_dir组合成完整路径
let full_path = std::path::Path::new(&self.config.images_dir).join(&album_path);
// 检查相册文件夹是否存在
if !full_path.exists() {
error!("相册文件夹不存在: {}", full_path.display());
return false;
}
// 导入单个相册
match self.import_single_album(&album_path, &full_path).await {
Ok(count) => {
info!("相册导入成功: {} (导入 {} 张图片)", album_path, count);
true
}
Err(e) => {
error!("相册导入失败: {} - {}", album_path, e);
false
}
}
} else {
warn!("任务类型不匹配,期望相册导入任务");
false
}
}
/// 导入单个相册(按照import.rs中的逻辑实现)
async fn import_single_album(&self, folder_name: &str, path: &std::path::Path) -> Result<usize, Box<dyn std::error::Error + Send + Sync>> {
info!("开始导入相册: {}", folder_name);
// 读取index.json文件
let index_file_path = path.join("index.json");
let album_title = if index_file_path.exists() {
match std::fs::read_to_string(&index_file_path) {
Ok(content) => {
match serde_json::from_str::<AlbumIndex>(&content) {
Ok(index) => {
info!("从index.json读取相册标题: {}", index.title);
index.title
}
Err(e) => {
warn!("解析index.json失败: {}, 使用文件夹名作为标题", e);
folder_name.to_string()
}
}
}
Err(e) => {
warn!("读取index.json失败: {}, 使用文件夹名作为标题", e);
folder_name.to_string()
}
}
} else {
info!("index.json不存在,使用文件夹名作为标题");
folder_name.to_string()
};
// 创建新相册
let new_album = CreateAlbum {
title: album_title.clone(),
document: folder_name.to_string(),
description: Some(format!("从文件夹 {} 自动导入的相册", folder_name)),
};
let album_id = self.db.create_album(new_album).await?;
info!("创建相册: {} (ID: {})", album_title, album_id);
// 读取图片URL列表(如果有index.json)
let image_urls = if index_file_path.exists() {
match std::fs::read_to_string(&index_file_path) {
Ok(content) => {
match serde_json::from_str::<AlbumIndex>(&content) {
Ok(index) => {
info!("从index.json读取到 {} 个图片URL", index.images.len());
Some(index.images)
}
Err(_) => None
}
}
Err(_) => None
}
} else {
None
};
// 快速扫描图片文件
let image_files = self.scan_image_files(path, folder_name)?;
if image_files.is_empty() {
info!("相册 {} 中没有找到图片文件", folder_name);
return Ok(0);
}
info!("发现 {} 张图片,开始处理...", image_files.len());
// 并行处理图片信息获取
let mut image_tasks = Vec::new();
for (index, (filename, image_path)) in image_files.iter().enumerate() {
let image_url = image_urls.as_ref().and_then(|urls| {
if urls.len() > index {
Some(urls[index].clone())
} else {
None
}
});
let filename_clone = filename.clone();
let image_path_clone = image_path.clone();
let album_id_clone = album_id;
let folder_name_clone = folder_name.to_string();
let task = tokio::task::spawn_blocking(move || {
// 在阻塞线程中处理图片信息
let (file_size, width, height) = match AlbumImportWorker::get_image_info_static(&image_path_clone) {
Ok(info) => info,
Err(e) => {
eprintln!("获取图片信息失败: {} - {}", image_path_clone.display(), e);
(0, 0, 0)
}
};
CreateImage {
album_id: album_id_clone,
filename: format!("{}/{}", folder_name_clone, filename_clone),
original_url: image_url,
title: Some(format!("图片 {}", index + 1)),
description: Some(format!("从文件夹 {} 导入的图片", folder_name_clone)),
file_size,
width,
height,
mime_type: match image_path_clone.extension().and_then(|s| s.to_str()).unwrap_or("jpg").to_lowercase().as_str() {
"jpg" | "jpeg" => "image/jpeg".to_string(),
"png" => "image/png".to_string(),
"gif" => "image/gif".to_string(),
"webp" => "image/webp".to_string(),
"bmp" => "image/bmp".to_string(),
_ => "image/jpeg".to_string(),
},
}
});
image_tasks.push(task);
}
// 收集所有图片信息
let mut images_to_insert = Vec::new();
for task in image_tasks {
match task.await {
Ok(image) => images_to_insert.push(image),
Err(e) => error!("图片处理任务失败: {}", e),
}
}
// 批量插入图片
if !images_to_insert.is_empty() {
match self.db.add_images(images_to_insert).await {
Ok(ids) => {
info!("成功导入 {} 张图片到相册 {}", ids.len(), folder_name);
// 更新相册图片数量
if let Err(e) = self.db.update_album_image_count(album_id).await {
error!("更新相册图片数量失败: {}", e);
}
Ok(ids.len())
}
Err(e) => {
error!("批量插入图片失败: {}", e);
Ok(0)
}
}
} else {
info!("没有图片需要插入到相册 {}", folder_name);
Ok(0)
}
}
/// 扫描图片文件(从import.rs迁移)
fn scan_image_files(&self, path: &std::path::Path, _folder_name: &str) -> Result<Vec<(String, std::path::PathBuf)>, Box<dyn std::error::Error + Send + Sync>> {
let mut image_files = Vec::new();
for entry in std::fs::read_dir(path)? {
let entry = entry?;
let file_path = entry.path();
if file_path.is_file() {
if let Some(extension) = file_path.extension().and_then(|s| s.to_str()) {
let ext_lower = extension.to_lowercase();
if ext_lower == "jpg" || ext_lower == "jpeg" || ext_lower == "png" ||
ext_lower == "gif" || ext_lower == "webp" || ext_lower == "bmp" {
if let Some(filename) = file_path.file_name().and_then(|s| s.to_str()) {
image_files.push((filename.to_string(), file_path));
}
}
}
}
}
Ok(image_files)
}
/// 静态方法:获取图片信息(用于spawn_blocking)
fn get_image_info_static(image_path: &std::path::Path) -> Result<(i64, i32, i32), Box<dyn std::error::Error + Send + Sync>> {
let metadata = std::fs::metadata(image_path)?;
let file_size = metadata.len() as i64;
// 使用image库获取图片尺寸
let img = image::open(image_path)?;
let (width, height) = img.dimensions();
Ok((file_size, width as i32, height as i32))
}
}
/// 任务工厂 - 用于创建不同类型的任务
pub struct TaskFactory;
impl TaskFactory {
/// 创建缩略图生成任务
pub fn create_thumbnail_task(
image_id: Uuid,
original_data: Vec<u8>,
priority: TaskPriority,
) -> Task {
Task {
id: Uuid::new_v4(),
task_type: TaskType::ThumbnailGeneration,
priority,
created_at: Instant::now(),
data: TaskData::ThumbnailGeneration {
image_id,
original_data,
},
}
}
/// 创建相册导入任务
pub fn create_album_import_task(album_path: String, album_data: Option<Vec<u8>>) -> Task {
Task {
id: Uuid::new_v4(),
task_type: TaskType::AlbumImport,
priority: TaskPriority::Medium,
created_at: Instant::now(),
data: TaskData::AlbumImport {
album_path,
album_data,
},
}
}
}

View File

@@ -7,6 +7,16 @@ use std::sync::Arc;
use tokio::sync::RwLock;
use tracing::error;
use uuid::Uuid;
use crate::queue;
// 记录HTTP请求频率的辅助函数
async fn log_request_frequency(method: &str, path: &str, client_ip: Option<&str>) {
// 这里可以添加请求频率记录逻辑
// 例如:记录到数据库、内存缓存或日志文件
let ip = client_ip.unwrap_or("unknown");
println!("Request: {} {} from {}", method, path, ip);
}
// 统一错误处理宏
macro_rules! handle_db_error {
($result:expr, $error_msg:expr) => {
@@ -61,7 +71,8 @@ async fn check_and_upgrade_thumbnail_quality(
config: &crate::config::StorageConfig,
image: &Image,
original_path: &std::path::Path,
) -> Result<(), Box<dyn std::error::Error>> {
task_queue: Option<Arc<queue::TaskQueue>>,
) -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
let thumbnail_path = config.thumbnails_dir.join(image.id.to_string());
// 检查原始图片是否存在
@@ -87,22 +98,35 @@ async fn check_and_upgrade_thumbnail_quality(
}
};
// 生成高质量缩略图
let image_processor = ImageProcessor::new(config.clone());
match image_processor
.generate_thumbnail_from_memory(&original_data, &image.id.to_string())
.await
{
Ok(high_quality_data) => {
// 保存高质量缩略图
if let Err(e) = fs::write(&thumbnail_path, &high_quality_data) {
eprintln!("保存高质量缩略图失败: {}", e);
} else {
println!("✅ 缩略图已升级为高质量版本 (ID: {})", image.id);
}
// 如果有队列系统,使用队列处理质量升级
if let Some(queue) = task_queue {
let task = queue::TaskFactory::create_thumbnail_task(
image.id,
original_data,
queue::TaskPriority::Low, // 质量升级,低优先级
);
if let Err(e) = queue.add_task(task).await {
eprintln!("添加缩略图质量升级任务失败: {}", e);
}
Err(e) => {
eprintln!("生成高质量缩略图失败: {}", e);
} else {
// 如果没有队列系统,直接生成高质量缩略图
let image_processor = ImageProcessor::new(config.clone());
match image_processor
.generate_thumbnail_from_memory(&original_data, &image.id.to_string())
.await
{
Ok(high_quality_data) => {
// 保存高质量缩略图
if let Err(e) = fs::write(&thumbnail_path, &high_quality_data) {
eprintln!("保存高质量缩略图失败: {}", e);
} else {
println!("✅ 缩略图已升级为高质量版本 (ID: {})", image.id);
}
}
Err(e) => {
eprintln!("生成高质量缩略图失败: {:?}", e);
}
}
}
}
@@ -184,6 +208,17 @@ pub async fn remove_favorite(
}
}
// 获取任务队列状态
pub async fn get_queue_stats(
task_queue: web::Data<Arc<queue::TaskQueue>>,
) -> impl Responder {
// 记录HTTP请求频率
task_queue.record_http_request().await;
let stats = task_queue.get_stats().await;
HttpResponse::Ok().json(stats)
}
// 通过图片ID取消收藏
pub async fn remove_favorite_by_image(
db: web::Data<Arc<Database>>,
@@ -418,6 +453,7 @@ pub async fn create_album(
pub async fn get_thumbnail(
db: web::Data<Arc<Database>>,
image_processor: web::Data<Arc<ImageProcessor>>,
task_queue: web::Data<Arc<queue::TaskQueue>>,
path: web::Path<String>,
) -> impl Responder {
let image_id = match Uuid::parse_str(&path.into_inner()) {
@@ -448,11 +484,13 @@ pub async fn get_thumbnail(
let config_clone = image_processor.config.clone();
let image_clone = image.clone();
let original_path_clone = original_path.clone();
let queue_clone = task_queue.get_ref().clone();
tokio::spawn(async move {
if let Err(e) = check_and_upgrade_thumbnail_quality(
&config_clone,
&image_clone,
&original_path_clone,
Some(queue_clone),
)
.await
{
@@ -483,28 +521,18 @@ pub async fn get_thumbnail(
.await
{
Ok(thumbnail_data) => {
// 异步保存高质量缩略图到文件(不阻塞响应)
let config_clone = image_processor.config.clone();
let filename_clone = image.id.clone();
let original_data_clone = data.clone();
// 将高质量缩略图生成任务添加到队列
let task = queue::TaskFactory::create_thumbnail_task(
image.id,
data.clone(),
queue::TaskPriority::High, // 前端请求,高优先级
);
// 异步添加任务到队列
let queue_clone = task_queue.clone();
tokio::spawn(async move {
let thumbnail_path = config_clone
.thumbnails_dir
.join(filename_clone.to_string());
// 生成高质量缩略图并保存
if let Ok(high_quality_data) = ImageProcessor::new(config_clone)
.generate_thumbnail_from_memory(
&original_data_clone,
&filename_clone.to_string(),
)
.await
{
if let Err(e) =
fs::write(&thumbnail_path, &high_quality_data)
{
eprintln!("保存高质量缩略图失败: {}", e);
}
if let Err(e) = queue_clone.add_task(task).await {
eprintln!("添加缩略图生成任务失败: {}", e);
}
});
@@ -516,7 +544,7 @@ pub async fn get_thumbnail(
.body(thumbnail_data)
}
Err(e) => {
eprintln!("快速缩略图生成失败: {}", e);
eprintln!("快速缩略图生成失败: {:?}", e);
// 如果快速生成失败,返回原始图片的小尺寸版本
let small_data =
image_processor.resize_image_to_max(&data, 800).await;
@@ -549,4 +577,4 @@ pub async fn get_thumbnail(
}))
}
}
}
}