adminandClaude Opus 4.7
ef22f7672a
- 用户域：注册/登录(JWT)/修改密码/个人资料 - 照片/衣橱/身形/化身：上传存储 + 3D 化身模板匹配 - 穿搭生成：天气(高德+和风+缓存) → 规则预筛 → LLM 规划(1次调用) → 规则评分(5维100分制) → 全低分触发 LLM 兜底创作 → 异步任务状态机 - 效果图：选主方案后异步生成 3 视角(mock/wanx 供应商 + 内容 hash 缓存 + 每日限额) - 商业化：合作门店列表(seed 4 家) - 冒烟：全链路端到端验证通过(mock LLM/天气)，23 个 API 端点 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
30 lines
720 B
Go
30 lines
720 B
Go
package scoring
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import "strings"
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// occasionScore 场合匹配（25 分制）：基础 15 + 场合类别匹配项 +5
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var occasionCategory = map[string][]string{
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"通勤": {"西装", "衬衫", "休闲", "通勤"},
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"约会": {"裙装", "连衣裙", "优雅", "约会", "浪漫"},
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"聚会": {"潮流", "时尚", "个性", "派对"},
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"运动": {"运动", "休闲", "T恤", "卫衣"},
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}
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func occasionScore(o CandidateOutfit, ctx ScoreContext) int {
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score := 15
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allowed := occasionCategory[ctx.Occasion]
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for _, it := range o.Items {
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tags := it.StyleTags
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for _, a := range allowed {
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if a != "" && strings.Contains(tags, a) {
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score += 5
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break
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}
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}
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}
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if score > 25 {
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return 25
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}
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return score
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}
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