This commit is contained in:
toom1996
2026-09-17 22:51:00 +08:00
parent 766c691eb3
commit f7ae917603
33 changed files with 8181 additions and 3094 deletions

View File

@ -3,6 +3,7 @@ package service
import (
"context"
"crypto/sha1"
"database/sql"
"encoding/hex"
"encoding/json"
"fmt"
@ -10,6 +11,7 @@ import (
"log"
"net/http"
"path"
"strconv"
"time"
"fashionapi/internal/dto"
@ -235,36 +237,31 @@ func (s *IngestService) processRunway(ctx context.Context, job model.IngestJob,
// 4) 下载图片并上传到存储(结构化 Looks 优先:主图+细节图分组;否则回退 Images 全部视为主图)。
// 内容哈希(sha1)key 保证重爬不产生孤儿文件:失败回滚删本批 key 即可。
// 同时算出每张图的 pHash(downloadOne 内基于原始字节),供后续全局近似去重标记。
var cover string
var cover string
var draftImages []model.BrandRunwayDraftImage
var keys []string
var imgFailed bool
var imageCount uint16
var phashList []uint64
if len(p.Looks) > 0 {
cover, draftImages, keys, imgFailed = s.fetchLookImages(ctx, p.Looks, "runway")
imageCount = uint16(len(p.Looks))
phashList = make([]uint64, len(draftImages))
for i, d := range draftImages {
phashList[i] = d.Phash
}
} else {
var imgs []string
var phs []uint64
cover, imgs, phs, keys, imgFailed = s.fetchImages(ctx, p.Images, "runway")
imageCount = uint16(len(imgs))
for i, img := range imgs {
var fimgs []fetchedImage
cover, fimgs, keys, imgFailed = s.fetchImages(ctx, p.Images, "runway", dto.IngestKindRunway)
imageCount = uint16(len(fimgs))
for i, fi := range fimgs {
draftImages = append(draftImages, model.BrandRunwayDraftImage{
Image: img,
Name: fmt.Sprintf("Look %d", i+1),
SortOrder: uint32(i + 1),
LookIndex: uint32(i + 1),
IsDetail: 0,
Phash: phs[i],
Image: fi.url,
Name: fmt.Sprintf("Look %d", i+1),
SortOrder: uint32(i + 1),
LookIndex: uint32(i + 1),
IsDetail: 0,
ContentSha1: fi.sha1,
Phash: sqlNull(fi.phash),
IsDuplicate: fi.isDup,
DupOf: strconv.FormatUint(uint64(fi.dupID), 10),
})
}
phashList = phs
}
if imgFailed {
// 单图失败=整任务失败:先回滚本批已上传的图(S4 + 本地兜底),避免孤儿文件永远堆在存储里,
@ -274,12 +271,6 @@ func (s *IngestService) processRunway(ctx context.Context, job model.IngestJob,
return
}
// 4.5) 全局近似去重标记:与「已晋升图片」比对汉明距离,命中则留痕(is_duplicate=1 + dup_of),
// 不丢弃、交后台人工裁决(只拦新增,不碰存量)。比对失败仅告警,不阻断入库。
s.tagDuplicates(ctx, phashList, func(i int, dupOf string) {
draftImages[i].IsDuplicate = 1
draftImages[i].DupOf = dupOf
})
// 5) 写草稿表(status=pending),等待后台审核通过后再晋升正式表
draft := &model.BrandRunwayDraft{
@ -316,31 +307,44 @@ func (s *IngestService) processRunway(ctx context.Context, job model.IngestJob,
// BrandRunwayDraftImage 行(带 look_index / is_detail 分组)。任意一张下载/上传失败即把
// failed 置 true,调用方据此把整条任务判失败并回滚本批已上传的 key,符合「单图失败=整任务失败」策略。
// cover 取首个成功下载的主图;image_count(主图数)由调用方按 len(Looks) 计,不在此返回。
// 每张图入库前做去重:content_sha1 已存在则整行跳过(精确重复);命中 dHash 近重复则仍入库但标记留痕。
func (s *IngestService) fetchLookImages(ctx context.Context, looks []dto.RunwayLook, prefix string) (string, []model.BrandRunwayDraftImage, []string, bool) {
cover := ""
rows := make([]model.BrandRunwayDraftImage, 0)
keys := make([]string, 0)
seen := make(map[string]bool)
failed := false
order := 0
for li, look := range looks {
lookIdx := li + 1
if look.Main != "" {
order++
url, key, ph, err := s.downloadOne(ctx, look.Main, order, prefix)
url, key, sha1h, ph, err := s.downloadOne(ctx, look.Main, order, prefix)
if err != nil {
failed = true
} else {
keys = append(keys, key)
if seen[sha1h] {
continue
}
seen[sha1h] = true
skip, dupID, isDup := s.dedupImage(ctx, dto.IngestKindRunway, sha1h, ph)
if skip {
continue
}
order++
if cover == "" {
cover = url
}
keys = append(keys, key)
rows = append(rows, model.BrandRunwayDraftImage{
Image: url,
Name: fmt.Sprintf("Look %d", lookIdx),
SortOrder: uint32(order),
LookIndex: uint32(lookIdx),
IsDetail: 0,
Phash: ph,
Image: url,
Name: fmt.Sprintf("Look %d", lookIdx),
SortOrder: uint32(order),
LookIndex: uint32(lookIdx),
IsDetail: 0,
ContentSha1: sha1h,
Phash: sqlNull(ph),
IsDuplicate: isDup,
DupOf: strconv.FormatUint(uint64(dupID), 10),
})
}
}
@ -348,20 +352,31 @@ func (s *IngestService) fetchLookImages(ctx context.Context, looks []dto.RunwayL
if d == "" {
continue
}
order++
url, key, ph, err := s.downloadOne(ctx, d, order, prefix)
url, key, sha1h, ph, err := s.downloadOne(ctx, d, order, prefix)
if err != nil {
failed = true
continue
}
keys = append(keys, key)
if seen[sha1h] {
continue
}
seen[sha1h] = true
skip, dupID, isDup := s.dedupImage(ctx, dto.IngestKindRunway, sha1h, ph)
if skip {
continue
}
order++
rows = append(rows, model.BrandRunwayDraftImage{
Image: url,
Name: fmt.Sprintf("Look %d — Detail %d", lookIdx, di+1),
SortOrder: uint32(order),
LookIndex: uint32(lookIdx),
IsDetail: 1,
Phash: ph,
Image: url,
Name: fmt.Sprintf("Look %d — Detail %d", lookIdx, di+1),
SortOrder: uint32(order),
LookIndex: uint32(lookIdx),
IsDetail: 1,
ContentSha1: sha1h,
Phash: sqlNull(ph),
IsDuplicate: isDup,
DupOf: strconv.FormatUint(uint64(dupID), 10),
})
}
}
@ -377,8 +392,8 @@ func (s *IngestService) processStreet(ctx context.Context, job model.IngestJob,
return
}
// 2) 下载图片并上传到存储(七牛优先,失败兜底本地);同时算 pHash 供近似去重。
cover, imgs, phs, keys, imgFailed := s.fetchImages(ctx, p.Images, "street")
// 2) 下载图片并上传到存储(七牛优先,失败兜底本地)。
cover, fimgs, keys, imgFailed := s.fetchImages(ctx, p.Images, "street", dto.IngestKindStreet)
if len(p.Images) > 0 && imgFailed {
// 单图失败=整任务失败:先回滚本批已上传的图(七牛 + 本地兜底),避免孤儿文件永远堆在存储里,
// 然后按指数退避自动重试,达上限才置 failed 等后台手动重试。
@ -394,7 +409,7 @@ func (s *IngestService) processStreet(ctx context.Context, job model.IngestJob,
Year: p.Year,
City: p.City,
Cover: cover,
ImageCount: uint16(len(imgs)),
ImageCount: uint16(len(fimgs)),
Status: model.DraftStatusPending,
}
id, err := s.repo.CreateStreetSnapDraft(ctx, draft)
@ -402,22 +417,20 @@ func (s *IngestService) processStreet(ctx context.Context, job model.IngestJob,
s.failOrRetry(ctx, job.ID, "create street draft: "+err.Error())
return
}
rows := make([]model.StreetSnapDraftImage, 0, len(imgs))
for i, img := range imgs {
rows := make([]model.StreetSnapDraftImage, 0, len(fimgs))
for i, fi := range fimgs {
rows = append(rows, model.StreetSnapDraftImage{
DraftID: id,
Image: img,
Name: fmt.Sprintf("Look %d", i+1),
SortOrder: uint32(i + 1),
Phash: phs[i],
DraftID: id,
Image: fi.url,
Name: fmt.Sprintf("Look %d", i+1),
SortOrder: uint32(i + 1),
ContentSha1: fi.sha1,
Phash: sqlNull(fi.phash),
IsDuplicate: fi.isDup,
DupOf: strconv.FormatUint(uint64(fi.dupID), 10),
})
}
// 3.5) 全局近似去重标记(与走秀同逻辑,只拦新增、留痕不删)。
s.tagDuplicates(ctx, phs, func(i int, dupOf string) {
rows[i].IsDuplicate = 1
rows[i].DupOf = dupOf
})
if err := s.repo.CreateStreetSnapDraftImages(ctx, rows); err != nil {
s.failOrRetry(ctx, job.ID, "create street draft images: "+err.Error())
@ -426,30 +439,48 @@ func (s *IngestService) processStreet(ctx context.Context, job model.IngestJob,
_ = s.repo.MarkDone(ctx, job.ID)
}
// fetchImages 下载图片并上传到存储,返回 (cover 地址, 全部图片地址, 各图 pHash, 已成功上传对象的 key 列表, 是否有任意一张失败)。
// fetchImages 下载图片并上传到存储,返回 (cover 地址, 全部图片地址, 已成功上传对象的 key 列表, 是否有任意一张失败)。
// prefix 为七牛 key 前缀(runway/ 或 street/)。只要任意一张下载/上传失败,failed 即置 true,
// 调用方据此把整条任务判为失败(不再写草稿),并拿 keys 回滚本批已上传的对象,符合「单图失败=整任务失败」策略。
// 返回的 pHash 与图片地址按索引对齐(phash=0 表示解码失败未计算,比对时跳过)。
func (s *IngestService) fetchImages(ctx context.Context, urls []string, prefix string) (string, []string, []uint64, []string, bool) {
// fetchImages 下载图片并上传到存储,返回 (cover 地址, 已下载图结构, 已成功上传对象的 key 列表, 是否有任意一张失败)。
// prefix 为七牛 key 前缀(runway/ 或 street/)。kind 用于选择去重比对表。
// 只要任意一张下载/上传失败,failed 即置 true,调用方据此把整条任务判为失败并回滚本批已上传的对象,
// 符合「单图失败=整任务失败」策略。每张图入库前做去重(精确跳过 + 近重复标记)。
func (s *IngestService) fetchImages(ctx context.Context, urls []string, prefix, kind string) (string, []fetchedImage, []string, bool) {
cover := ""
out := make([]string, 0, len(urls))
phashes := make([]uint64, 0, len(urls))
out := make([]fetchedImage, 0, len(urls))
keys := make([]string, 0, len(urls))
seen := make(map[string]bool)
failed := false
for i, u := range urls {
url, key, ph, err := s.downloadOne(ctx, u, i, prefix)
for _, u := range urls {
url, key, sha1h, ph, err := s.downloadOne(ctx, u, 0, prefix)
if err != nil {
failed = true
continue
}
if i == 0 {
keys = append(keys, key)
if seen[sha1h] {
continue
}
seen[sha1h] = true
skip, dupID, isDup := s.dedupImage(ctx, kind, sha1h, ph)
if skip {
continue
}
if cover == "" {
cover = url
}
out = append(out, url)
phashes = append(phashes, ph)
keys = append(keys, key)
out = append(out, fetchedImage{
url: url,
key: key,
sha1: sha1h,
phash: ph,
dupID: dupID,
isDup: isDup,
})
}
return cover, out, phashes, keys, failed
return cover, out, keys, failed
}
// cleanupUploads 删除一批本批次成功上传的对象(七牛 + 本地兜底),用于任务失败回滚:
@ -471,21 +502,65 @@ func (s *IngestService) cleanupUploads(ctx context.Context, keys []string) {
}
}
// fetchedImage 是单张已下载图片的暂存结构,携带去重所需的指纹信息。
type fetchedImage struct {
url string
key string
sha1 string // 内容 sha1(与存储 key 同源)
phash string // dHash 的 pgvector 二进制向量串,空串表示无法解码
dupID uint32 // 命中近重复时的参考图 id
isDup uint8 // 是否标记为近重复(供审核留痕)
}
// sqlNull 把 phash 字符串转成可空向量字段:空串 → NULL(不参与近邻检索)。
func sqlNull(ph string) sql.NullString {
return sql.NullString{String: ph, Valid: ph != ""}
}
// dedupImage 判断单张图是否重复:
// - 精确重复(content_sha1 已在库)→ 返回 skip=true(不入库该行);
// - 近重复(dHash 汉明距离 ≤ 阈值)→ 仍入库,但标记 is_duplicate + dup_of;
// - 否则正常入库。
func (s *IngestService) dedupImage(ctx context.Context, kind, sha1hash, phashBits string) (skip bool, dupID uint32, isDup uint8) {
// repo 未注入(如离线单测)时跳过去重,不阻断主流程。生产环境 repo 必不为空。
if s.repo == nil {
return false, 0, 0
}
var tables []string
switch kind {
case dto.IngestKindRunway:
tables = []string{"brand_runway_draft_images", "brand_runway_images"}
case dto.IngestKindStreet:
tables = []string{"street_snap_draft_images", "street_snap_images"}
default:
return false, 0, 0
}
if exists, err := s.repo.ImageExistsBySha1(ctx, tables, sha1hash); err == nil && exists {
return true, 0, 0
}
if phashBits != "" {
if id, found, err := s.repo.FindNearDuplicateImage(ctx, tables, phashBits, phash.DefaultThreshold); err == nil && found {
return false, id, 1
}
}
return false, 0, 0
}
// downloadOne 把单张远程图下载后上传到存储(七牛优先,失败兜底本地),
// 返回 (访问地址, 对象 key, 感知哈希, error)。访问地址可直接写入数据库
// (七牛为完整 https URL,本地为相对 /uploads 路径);感知哈希基于原始字节算一次,供入库时近似去重。
func (s *IngestService) downloadOne(ctx context.Context, u string, idx int, prefix string) (string, string, uint64, error) {
// 返回 (访问地址, 对象 key, 内容 sha1, dHash 向量串, error)。访问地址可直接写入数据库
// (七牛为完整 https URL,本地为相对 /uploads 路径)。
func (s *IngestService) downloadOne(ctx context.Context, u string, idx int, prefix string) (string, string, string, string, error) {
resp, err := s.httpClient.Get(u)
if err != nil {
return "", "", 0, err
return "", "", "", "", err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return "", "", 0, fmt.Errorf("status %d", resp.StatusCode)
return "", "", "", "", fmt.Errorf("status %d", resp.StatusCode)
}
data, err := io.ReadAll(resp.Body)
if err != nil {
return "", "", 0, err
return "", "", "", "", err
}
ext := path.Ext(u)
if ext == "" || len(ext) > 5 {
@ -498,74 +573,21 @@ func (s *IngestService) downloadOne(ctx context.Context, u string, idx int, pref
key := fmt.Sprintf("%s/%s%s", prefix, hash, ext)
ct := resp.Header.Get("Content-Type")
// 感知哈希:同一份字节在此算一次(decode 失败时 ph=0,比对时跳过,不阻断入库)。
// 计算 dHash 指纹(仅用于近重复检索;解码失败返回空串 → NULL,不参与检索)。
ph := phash.Of(data)
if ph == 0 {
log.Printf("[warn] ingest pHash 未计算(解码失败或非 jpeg/png/gif 格式) url=%s", u)
}
phashBits := phash.ToVectorBits(ph)
// 主上传器(七牛)
if url, err := s.uploader.Upload(ctx, key, data, ct); err == nil {
return url, key, ph, nil
return url, key, hash, phashBits, nil
} else if s.local != nil {
// 兜底本地,避免图片完全丢失
if lurl, lerr := s.local.Upload(ctx, key, data, ct); lerr == nil {
return lurl, key, ph, nil
return lurl, key, hash, phashBits, nil
} else {
return "", "", 0, err
return "", "", "", "", err
}
}
return "", "", 0, err
return "", "", "", "", err
}
// tagDuplicates 对一批图片(phashList 与 apply 下标对齐)做全局近似去重标记:
// 与「已晋升图片」的 phash 库比汉明距离(≤ phash.DefaultThreshold 即近似重复),
// 命中则调用 apply(i, dupOf) 由调用方把第 i 张图标 IsDuplicate=1、DupOf=命中图 uid。
// 不丢弃任何图、仅留痕(交后台人工裁决),契合「只拦新增、全局跨所有图、标记不删」。
// 比对库拉取失败仅告警并跳过(不阻断入库);phash=0 的图不比对、不误杀。
func (s *IngestService) tagDuplicates(ctx context.Context, phashList []uint64, apply func(i int, dupOf string)) {
uids, err := s.matchDuplicates(ctx, phashList)
if err != nil {
log.Printf("[warn] ingest 近似去重比对失败 err=%v(跳过标记,不阻断入库)", err)
return
}
for i, u := range uids {
if u != "" {
apply(i, u)
}
}
}
// matchDuplicates 返回与 phashList 等长的 dup_of uid 切片(""=未命中近似重复)。
// 对每张新图,在已晋升图片库里找汉明距离 ≤ 阈值的命中,取距离最近者,
// 按其 kind(runway/street)编码成对应 hashid 类型作为 dup_of。
func (s *IngestService) matchDuplicates(ctx context.Context, phashList []uint64) ([]string, error) {
refs, err := s.repo.ListImagePHashes(ctx)
if err != nil {
return nil, err
}
out := make([]string, len(phashList))
for i, ph := range phashList {
if ph == 0 {
continue // 未计算 phash 的图不比对(避免误杀)
}
bestUID := ""
bestDist := phash.DefaultThreshold + 1
for _, ref := range refs {
if ref.Phash == 0 {
continue
}
d := phash.Hamming(ph, ref.Phash)
if d <= phash.DefaultThreshold && d < bestDist {
var typ byte = hashid.TypeRunwayImage
if ref.Kind == "street" {
typ = hashid.TypeSnapImage
}
bestUID = hashid.EncodeWithType(ref.ID, typ)
bestDist = d
}
}
out[i] = bestUID
}
return out, nil
}