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MeBox/internal/service/cache_cleanup.go
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2026-09-20 15:16:40 +08:00

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// Package service — generic on-disk cleanup helper used by the
// scheduler. Public so handlers can call it for "purge transcode cache
// now" buttons.
package service
import (
"encoding/hex"
"os"
"path/filepath"
"sort"
"strings"
"time"
)
// walkAndPrune recursively deletes every file under root whose mtime is
// older than cutoff. Empty directories left behind are removed too.
// Best-effort: per-file errors are ignored so a single permission denial
// doesn't abort the cleanup.
func walkAndPrune(root string, cutoff time.Time) error {
if root == "" {
return nil
}
if _, err := os.Stat(root); err != nil {
return nil // nothing to clean
}
dirs := []string{}
_ = filepath.Walk(root, func(path string, info os.FileInfo, err error) error {
if err != nil {
return nil
}
if info.IsDir() {
if path != root {
dirs = append(dirs, path)
}
return nil
}
if info.ModTime().Before(cutoff) {
_ = os.Remove(path) // #nosec G122 -- cache pruning is best-effort under the configured cache root.
}
return nil
})
// Remove emptied directories from deepest to shallowest.
for i := len(dirs) - 1; i >= 0; i-- {
_ = os.Remove(dirs[i])
}
return nil
}
// PruneImageCacheResult holds stats from an image cache prune operation.
type PruneImageCacheResult struct {
TotalFilesBefore int
TotalBytesBefore int64
DeletedFiles int
FreedBytes int64
RemainingBytes int64
}
// imageCacheFileEntry 是池内一个可被淘汰的缓存文件。
type imageCacheFileEntry struct {
path string
pool int
size int64
modTime time.Time
}
// ImageCacheScope 是池内的一处文件范围。Recursive=false 时只处理该目录下的
// 直属文件(历史版本的图片缓存是平铺在 images/ 下的,升级后仍要能清理掉)。
type ImageCacheScope struct {
Root string
Recursive bool
// DropUnknownResizeVariants 只用于派生缩略图目录:直接删除文件名不符合当前
// 命名(<源图键>.<宽>x<高>q<质量>.img)的历史缩放缓存。它们在新的查找路径下
// 永远不会被命中,留着只会占用总量配额、把有用缓存挤出去。
DropUnknownResizeVariants bool
}
// ImageCachePool 描述一个图片缓存池:范围 + 自身配额 + 保留时长。
//
// 分池的意义在于两类缓存的“可再生成本”完全不同:原图只是生成缩略图的原料,
// 丢了可以重新回源;派生缩略图是客户端热路径真正读取的成品,重新生成代价高。
// 因此原图配小配额、短保留,总量超限时也优先淘汰原图。
type ImageCachePool struct {
Name string
Scopes []ImageCacheScope
MaxBytes int64 // 0 = 不单独限制
MaxAge time.Duration // 0 = 不按时间淘汰
}
// imageFailMarkerMaxAge 是失败标记文件的保留时长:标记只用于观测/重试,
// 过期即视为噪音清掉(不会因为标记残留而阻止重新抓取)。
const imageFailMarkerMaxAge = 24 * time.Hour
// tempImageCacheFile 报告文件名是否是下载/缩放过程中的临时文件。它们正在被
// 并发写入,清理时必须跳过。
func tempImageCacheFile(name string) bool {
if strings.HasSuffix(name, ".tmp") {
return true
}
return strings.HasPrefix(name, "img-") && strings.Contains(name, ".tmp")
}
// sha256HexLength 是十六进制 sha256 摘要的长度。
const sha256HexLength = 64
// isCurrentResizeVariantName 报告文件名是否符合当前的缩放缓存命名
// (<源图键>.<宽>x<高>q<质量>.img)。
func isCurrentResizeVariantName(name string) bool {
if !strings.HasSuffix(name, ".img") {
return false
}
spec := strings.TrimSuffix(name, ".img")
key, _, found := strings.Cut(spec, ".")
if !found || len(key) != sha256HexLength {
return false
}
if _, err := hex.DecodeString(key); err != nil {
return false
}
_, _, ok := parseResizeVariantSuffix(name, key)
return ok
}
// collectImageCachePoolFiles 收集池内可淘汰的文件(跳过并发写入中的临时文件)。
// 失败标记单独返回,它们不计入容量,只按年龄清理。
func collectImageCachePoolFiles(pool ImageCachePool, poolIndex int, entries *[]imageCacheFileEntry, failMarkers *[]imageCacheFileEntry) {
visit := func(path string, info os.FileInfo, scope ImageCacheScope) {
if info.IsDir() {
return
}
name := info.Name()
if tempImageCacheFile(name) {
return
}
if scope.DropUnknownResizeVariants && strings.HasSuffix(name, ".img") && !isCurrentResizeVariantName(name) {
_ = os.Remove(path) // 旧版命名,永远不会命中,直接清掉
return
}
entry := imageCacheFileEntry{path: path, pool: poolIndex, size: info.Size(), modTime: info.ModTime()}
if strings.HasSuffix(name, ".fail") {
*failMarkers = append(*failMarkers, entry)
return
}
*entries = append(*entries, entry)
}
for _, scope := range pool.Scopes {
if strings.TrimSpace(scope.Root) == "" {
continue
}
if !scope.Recursive {
dir, err := os.Open(scope.Root) // #nosec G304 -- cache root from config.
if err != nil {
continue
}
names, err := dir.Readdir(-1)
_ = dir.Close()
if err != nil {
continue
}
for _, info := range names {
visit(filepath.Join(scope.Root, info.Name()), info, scope)
}
continue
}
_ = filepath.Walk(scope.Root, func(path string, info os.FileInfo, err error) error {
if err != nil || info == nil {
return nil // best-effort: one unreadable dir must not abort cleanup
}
visit(path, info, scope)
return nil
})
}
}
// removeImageCacheEntry 删除一个缓存文件,并顺带清掉它的失败标记。
func removeImageCacheEntry(entry imageCacheFileEntry, result *PruneImageCacheResult) {
if err := os.Remove(entry.path); err != nil {
return
}
result.DeletedFiles++
result.FreedBytes += entry.size
result.RemainingBytes -= entry.size
_ = os.Remove(entry.path + ".fail")
}
// PruneImageCachePools 按池清理图片缓存:
// 1. 删除超过池 MaxAge 的文件(原图按保留时长淘汰);
// 2. 池自身超过 MaxBytes 时按 mtime 淘汰到 80%(留水位,避免连续写入即触发);
// 3. 全部池合计超过 totalBytes 时,仍按“先原图、后派生”的顺序淘汰最旧文件,
// 使总量上限始终是硬保证,同时让客户端热路径的缩略图活得更久。
//
// 传入的池顺序即总量超限时的淘汰优先级(排在前面的先被淘汰)。
func PruneImageCachePools(pools []ImageCachePool, totalBytes int64) (PruneImageCacheResult, error) {
var result PruneImageCacheResult
if len(pools) == 0 {
return result, nil
}
var entries []imageCacheFileEntry
var failMarkers []imageCacheFileEntry
for i, pool := range pools {
collectImageCachePoolFiles(pool, i, &entries, &failMarkers)
}
result.TotalFilesBefore = len(entries)
for _, entry := range entries {
result.TotalBytesBefore += entry.size
}
result.RemainingBytes = result.TotalBytesBefore
// 过期的失败标记直接清掉:它们不计容量,只用于观测与重试。
cutoffMarkers := time.Now().Add(-imageFailMarkerMaxAge)
for _, marker := range failMarkers {
if marker.modTime.Before(cutoffMarkers) {
_ = os.Remove(marker.path)
}
}
now := time.Now()
deleted := make(map[string]bool, len(entries))
deleteEntry := func(entry imageCacheFileEntry) {
if deleted[entry.path] {
return
}
deleted[entry.path] = true
removeImageCacheEntry(entry, &result)
}
// 1. 按池保留时长淘汰(原图池)。
for i := range pools {
if pools[i].MaxAge <= 0 {
continue
}
cutoff := now.Add(-pools[i].MaxAge)
for _, entry := range entries {
if entry.pool == i && entry.modTime.Before(cutoff) {
deleteEntry(entry)
}
}
}
// 2. 池自身配额。
for i := range pools {
maxBytes := pools[i].MaxBytes
if maxBytes <= 0 {
continue
}
var poolBytes int64
for _, entry := range entries {
if entry.pool == i && !deleted[entry.path] {
poolBytes += entry.size
}
}
if poolBytes <= maxBytes {
continue
}
target := maxBytes * 80 / 100
for _, entry := range oldestFirst(entries, i, deleted) {
if poolBytes <= target {
break
}
deleteEntry(entry)
poolBytes -= entry.size
}
}
// 3. 总量硬上限:跨池按淘汰优先级(池顺序)再按 mtime 淘汰。
if totalBytes > 0 && result.RemainingBytes > totalBytes {
target := totalBytes * 80 / 100
for _, entry := range evictionOrder(entries, deleted) {
if result.RemainingBytes <= target {
break
}
deleteEntry(entry)
}
}
removeEmptyImageCacheDirs(pools)
return result, nil
}
// oldestFirst 返回指定池内未被删除的文件,按修改时间从旧到新。
func oldestFirst(entries []imageCacheFileEntry, pool int, deleted map[string]bool) []imageCacheFileEntry {
out := make([]imageCacheFileEntry, 0, len(entries))
for _, entry := range entries {
if entry.pool == pool && !deleted[entry.path] {
out = append(out, entry)
}
}
sort.Slice(out, func(i, j int) bool { return out[i].modTime.Before(out[j].modTime) })
return out
}
// evictionOrder 返回总量超限时的淘汰顺序:先按池优先级(原图池在前),
// 池内再按修改时间从旧到新。
func evictionOrder(entries []imageCacheFileEntry, deleted map[string]bool) []imageCacheFileEntry {
out := make([]imageCacheFileEntry, 0, len(entries))
for _, entry := range entries {
if !deleted[entry.path] {
out = append(out, entry)
}
}
sort.SliceStable(out, func(i, j int) bool {
if out[i].pool != out[j].pool {
return out[i].pool < out[j].pool
}
return out[i].modTime.Before(out[j].modTime)
})
return out
}
// removeEmptyImageCacheDirs 清理淘汰后留下的空子目录(不含池根目录本身)。
func removeEmptyImageCacheDirs(pools []ImageCachePool) {
seen := map[string]bool{}
for _, pool := range pools {
for _, scope := range pool.Scopes {
if !scope.Recursive || seen[scope.Root] {
continue
}
seen[scope.Root] = true
dirs := []string{}
_ = filepath.Walk(scope.Root, func(path string, info os.FileInfo, err error) error {
if err != nil || info == nil {
return nil
}
if info.IsDir() && path != scope.Root {
dirs = append(dirs, path)
}
return nil
})
for i := len(dirs) - 1; i >= 0; i-- {
_ = os.Remove(dirs[i])
}
}
}
}
// PruneImageCache 是单池版本的兼容入口:把整个图片目录当作一个池,超限时按
// mtime 淘汰到 80%。保留它是为了「立刻清理图片缓存」这类只关心总量的调用方。
func PruneImageCache(imagesDir string, maxSizeBytes int64) (PruneImageCacheResult, error) {
var result PruneImageCacheResult
if imagesDir == "" || maxSizeBytes <= 0 {
return result, nil
}
if _, err := os.Stat(imagesDir); err != nil {
return result, nil
}
pool := ImageCachePool{
Name: "images",
Scopes: []ImageCacheScope{{Root: imagesDir, Recursive: true}},
MaxBytes: maxSizeBytes,
}
return PruneImageCachePools([]ImageCachePool{pool}, maxSizeBytes)
}
// ImageCachePools 按配置组装图片缓存的两个清理池。
//
// 第一个池是原图:历史版本平铺在 images/ 下的旧缓存也归入此池,升级后会被
// 逐步淘汰;第二个池是派生成品(本地缩放结果 + 挂载 Emby 按尺寸返回的成品)。
// 池顺序即总量超限时的淘汰优先级。
func ImageCachePools(imagesDir string, originalsMaxBytes int64, originalsMaxAge time.Duration) []ImageCachePool {
originals := ImageCachePool{
Name: "originals",
MaxBytes: originalsMaxBytes,
MaxAge: originalsMaxAge,
Scopes: []ImageCacheScope{
{Root: imagesDir, Recursive: false}, // 旧版平铺布局
{Root: filepath.Join(imagesDir, imageOriginalCacheSubdir), Recursive: true},
},
}
derived := ImageCachePool{
Name: "derived",
Scopes: []ImageCacheScope{
{Root: filepath.Join(imagesDir, imageResizeCacheSubdir), Recursive: true, DropUnknownResizeVariants: true},
{Root: filepath.Join(imagesDir, imageRenditionCacheSubdir), Recursive: true},
},
}
return []ImageCachePool{originals, derived}
}