update
This commit is contained in:
toom1996
75
scripts/backfill_title_cn/main.go
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75
scripts/backfill_title_cn/main.go
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@ -0,0 +1,75 @@
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// Command backfill_title_cn 把 brand_runway.title_cn 由已解析的结构化分类字段
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// （year / collection_type / season）规则生成中文走秀标题。
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//
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// 设计：
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// - title 字段本质就是「季节/品类描述」（Vogue 格式：Spring 2026 Ready-to-Wear、
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// Resort 2026、Pre-Fall 2023、Fall 2023 Couture、Spring 2024 Menswear），
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// 品牌名在 JOIN 出的 brand_name 里单独给，不混进 title。
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// - collection_type / season 早已由历史迁移解析回填，因此 title_cn 可纯规则生成，
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// 完全不依赖外部翻译服务，且结果稳定可重跑。
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//
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// 幂等：每次都按分类字段重新计算并整表覆盖，重跑无害。
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// 不写任何业务逻辑，仅做一次性数据回填。
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package main
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import (
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"fmt"
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"log"
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"gorm.io/driver/mysql"
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"gorm.io/gorm"
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)
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const dsn = "root:root@tcp(127.0.0.1:3306)/db?charset=utf8mb4&parseTime=True&loc=Local"
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// titleCnSQL 单条 UPDATE 用 CASE 把分类字段映射为中文标题。
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// year 参与拼接（CONCAT），season 为 NULL 时 COALESCE 成 ''。
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const titleCnSQL = `
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UPDATE brand_runway
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SET title_cn = CASE
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WHEN collection_type = 'resort' THEN CONCAT(year, ' 度假系列')
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WHEN collection_type = 'pre_fall' THEN CONCAT(year, ' 早秋系列')
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WHEN collection_type = 'rtw' AND season = 'spring' THEN CONCAT(year, ' 春夏成衣')
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WHEN collection_type = 'rtw' AND season = 'fall' THEN CONCAT(year, ' 秋冬成衣')
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WHEN collection_type = 'rtw' THEN CONCAT(year, ' 成衣')
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WHEN collection_type = 'menswear' AND season = 'spring' THEN CONCAT(year, ' 春夏男装')
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WHEN collection_type = 'menswear' AND season = 'fall' THEN CONCAT(year, ' 秋冬男装')
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WHEN collection_type = 'couture' AND season = 'spring' THEN CONCAT(year, ' 春夏高定')
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WHEN collection_type = 'couture' AND season = 'fall' THEN CONCAT(year, ' 秋冬高定')
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ELSE CONCAT(year, ' 系列')
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END
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WHERE is_deleted = 0`
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func main() {
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db, err := gorm.Open(mysql.Open(dsn), &gorm.Config{})
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if err != nil {
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log.Fatal("open:", err)
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}
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var before int64
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db.Raw(`SELECT COUNT(*) FROM brand_runway WHERE is_deleted=0 AND title_cn <> ''`).Scan(&before)
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fmt.Printf("before: title_cn 非空 = %d\n", before)
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if r := db.Exec(titleCnSQL); r.Error != nil {
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log.Fatalf("backfill title_cn failed: %v", r.Error)
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} else {
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fmt.Printf("updated rows = %d\n", r.RowsAffected)
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}
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var after int64
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db.Raw(`SELECT COUNT(*) FROM brand_runway WHERE is_deleted=0 AND title_cn <> ''`).Scan(&after)
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fmt.Printf("after: title_cn 非空 = %d\n", after)
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// 抽样核对：原始 title -> 生成 title_cn
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type row struct {
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Title string
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TitleCn string
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}
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var rows []row
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db.Raw(`SELECT title, title_cn FROM brand_runway WHERE is_deleted=0 ORDER BY id LIMIT 12`).Scan(&rows)
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fmt.Println("samples:")
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for _, r := range rows {
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fmt.Printf(" %-32q -> %q\n", r.Title, r.TitleCn)
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}
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fmt.Println("title_cn backfill done.")
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}
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54
scripts/diag_brand/main.go
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54
scripts/diag_brand/main.go
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package main
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import (
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"fmt"
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"gorm.io/driver/mysql"
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"gorm.io/gorm"
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)
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const dsn = "root:root@tcp(127.0.0.1:3306)/db?charset=utf8mb4&parseTime=True&loc=Local"
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func main() {
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db, err := gorm.Open(mysql.Open(dsn), &gorm.Config{})
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if err != nil {
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panic(err)
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}
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// 1) brand 3100 的走秀档案数（only_with_articles 子查询依赖这个）
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var artCount int64
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db.Raw(`SELECT COUNT(*) FROM brand_runway WHERE is_deleted=0 AND brand_id=3100`).Scan(&artCount)
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fmt.Printf("brand 3100 走秀档案数 = %d\n", artCount)
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// 2) 复现后端完整搜索：only_with_articles=1 + keyword=猿人头
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kw := "%猿人头%"
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type Row struct {
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ID uint32
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Name string
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NameEn string
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NameCn string
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}
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var rows []Row
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db.Raw(`
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SELECT id, name, name_en, name_cn FROM brand
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WHERE is_deleted=0
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AND id IN (SELECT DISTINCT brand_id FROM brand_runway WHERE is_deleted=0)
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AND (name_en LIKE ? OR name_cn LIKE ?)`,
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kw, kw).Scan(&rows)
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fmt.Printf("\n[搜索 keyword=猿人头, only_with_articles=1] 命中 %d 条:\n", len(rows))
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for _, r := range rows {
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fmt.Printf(" id=%d | name=%q | name_en=%q | name_cn=%q\n", r.ID, r.Name, r.NameEn, r.NameCn)
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}
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// 3) 对比：only_with_articles=0（不过滤档案）时的命中
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var rows2 []Row
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db.Raw(`
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SELECT id, name, name_en, name_cn FROM brand
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WHERE is_deleted=0
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AND (name_en LIKE ? OR name_cn LIKE ?)`,
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kw, kw).Scan(&rows2)
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fmt.Printf("\n[搜索 keyword=猿人头, only_with_articles=0] 命中 %d 条:\n", len(rows2))
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for _, r := range rows2 {
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fmt.Printf(" id=%d | name=%q | name_en=%q | name_cn=%q\n", r.ID, r.Name, r.NameEn, r.NameCn)
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}
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}
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68
scripts/diag_hot/main.go
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68
scripts/diag_hot/main.go
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@ -0,0 +1,68 @@
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package main
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// 诊断：复现 FeaturedIDs("images", 30) 的 SQL，验证热门品牌排名数据是否合理。
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import (
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"fmt"
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"gorm.io/driver/mysql"
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"gorm.io/gorm"
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)
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const dsn = "root:root@tcp(127.0.0.1:3306)/db?charset=utf8mb4&parseTime=True&loc=Local"
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func main() {
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db, err := gorm.Open(mysql.Open(dsn), &gorm.Config{})
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if err != nil {
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panic(err)
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}
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// 1) 复现 FeaturedIDs：按图片总数 DESC 取前 30
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type Row struct {
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BrandID uint32 `gorm:"column:brand_id"`
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Images int64 `gorm:"column:images"`
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Shows int64 `gorm:"column:shows"`
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}
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var rows []Row
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db.Raw(`
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SELECT brand_id, COALESCE(SUM(image_count),0) AS images, COUNT(*) AS shows
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FROM brand_runway
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WHERE is_deleted = 0
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GROUP BY brand_id
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ORDER BY images DESC
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LIMIT 30
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`).Scan(&rows)
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fmt.Println("== FeaturedIDs(images, 30) 原始排名 ==")
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for i, r := range rows {
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var name string
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db.Raw(`SELECT name_en FROM brand WHERE id = ?`, r.BrandID).Scan(&name)
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fmt.Printf("%2d. brand_id=%-6d images=%-6d shows=%-4d %s\n", i+1, r.BrandID, r.Images, r.Shows, name)
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}
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// 2) image_count 分布：有多少品牌有图、多少归零
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var zeroBrands, hasImgBrands int64
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var totalRows, zeroRows int64
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db.Raw(`SELECT COUNT(*) FROM (SELECT brand_id, SUM(image_count) s FROM brand_runway WHERE is_deleted=0 GROUP BY brand_id) t WHERE s = 0`).Scan(&zeroBrands)
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db.Raw(`SELECT COUNT(*) FROM (SELECT brand_id, SUM(image_count) s FROM brand_runway WHERE is_deleted=0 GROUP BY brand_id) t WHERE s > 0`).Scan(&hasImgBrands)
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db.Raw(`SELECT COUNT(*) FROM brand_runway WHERE is_deleted=0`).Scan(&totalRows)
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db.Raw(`SELECT COUNT(*) FROM brand_runway WHERE is_deleted=0 AND image_count=0`).Scan(&zeroRows)
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fmt.Printf("\n== image_count 分布 ==\n有图品牌=%d 零图品牌=%d | 走秀总行=%d 其中 image_count=0 的行=%d\n", hasImgBrands, zeroBrands, totalRows, zeroRows)
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// 3) 对比口径：按走秀数(shows) DESC 前 10
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var byShows []Row
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db.Raw(`
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SELECT brand_id, COALESCE(SUM(image_count),0) AS images, COUNT(*) AS shows
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FROM brand_runway
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WHERE is_deleted = 0
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GROUP BY brand_id
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ORDER BY shows DESC
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LIMIT 10
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`).Scan(&byShows)
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fmt.Println("\n== 若按 shows DESC 前 10 ==")
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for i, r := range byShows {
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var name string
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db.Raw(`SELECT name_en FROM brand WHERE id = ?`, r.BrandID).Scan(&name)
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fmt.Printf("%2d. brand_id=%-6d images=%-6d shows=%-4d %s\n", i+1, r.BrandID, r.Images, r.Shows, name)
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}
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}
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@ -47,3 +47,33 @@ UPDATE brand_runway SET
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description_en = description,
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title_cn = '',
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description_cn = '';
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-- ============================================================================
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-- 第 5 步（依赖「分类字段回填迁移」之后执行）：title_cn 规则生成
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--
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-- 前提：collection_type / season / year 已由历史迁移解析回填（rtw/menswear/
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-- couture/resort/pre_fall × spring/fall/空）。title 本质是「季节/品类描述」，
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-- 品牌名在 JOIN 的 brand_name 里单独给，因此 title_cn 可纯规则生成，
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-- 完全不依赖外部翻译服务，结果稳定可重跑。
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--
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-- 映射：resort→「{year} 度假系列」、pre_fall→「{year} 早秋系列」、
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-- rtw→「{year} {春夏|秋冬}成衣」、menswear→「{year} {春夏|秋冬}男装」、
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-- couture→「{year} {春夏|秋冬}高定」。
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--
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-- 执行器：scripts/backfill_title_cn/main.go（幂等，整表覆盖重跑无害）。
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-- 该步骤与上方 i18n 加列/回填相互独立，可单独重跑。
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-- ============================================================================
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UPDATE brand_runway
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SET title_cn = CASE
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WHEN collection_type = 'resort' THEN CONCAT(year, ' 度假系列')
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WHEN collection_type = 'pre_fall' THEN CONCAT(year, ' 早秋系列')
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WHEN collection_type = 'rtw' AND season = 'spring' THEN CONCAT(year, ' 春夏成衣')
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WHEN collection_type = 'rtw' AND season = 'fall' THEN CONCAT(year, ' 秋冬成衣')
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WHEN collection_type = 'rtw' THEN CONCAT(year, ' 成衣')
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WHEN collection_type = 'menswear' AND season = 'spring' THEN CONCAT(year, ' 春夏男装')
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WHEN collection_type = 'menswear' AND season = 'fall' THEN CONCAT(year, ' 秋冬男装')
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WHEN collection_type = 'couture' AND season = 'spring' THEN CONCAT(year, ' 春夏高定')
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WHEN collection_type = 'couture' AND season = 'fall' THEN CONCAT(year, ' 秋冬高定')
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ELSE CONCAT(year, ' 系列')
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END
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WHERE is_deleted = 0;
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