465 lines
19 KiB
Go
465 lines
19 KiB
Go
package service
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import (
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"context"
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"database/sql"
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"encoding/json"
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"fmt"
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"sort"
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"strings"
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"time"
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"unicode/utf8"
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"cmautobuy/admin/model"
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"cmautobuy/admin/repository"
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"cmautobuy/admin/spec"
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)
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const (
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AISpecMatchPromptVersion = "spec_prompt_v1"
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maxAIModelCandidates = 24
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)
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type AIMatchSnapshot struct {
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Provider model.AIProviderConfig
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ConfigFingerprint string
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Secret string
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Client AIModelClient
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}
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type AISpecMatchResult struct {
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Outcome string
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Message string
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Source string
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OptionKey string
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ConfidenceBPS int
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ConfidenceSet bool
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ContextVersion string
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ModelCalled bool
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}
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type aiCandidateBinding struct {
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ID string
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Choice PddOptionChoice
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}
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// LoadActiveAIMatchSnapshot 固定新匹配动作使用的服务商配置；调用方可在整个批次复用它。
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func LoadActiveAIMatchSnapshot(ctx context.Context, db *sql.DB, secrets AISecretStore, policy AIEndpointPolicy) (AIMatchSnapshot, error) {
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provider, err := repository.GetEnabledAIProvider(db)
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if err != nil {
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return AIMatchSnapshot{}, err
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}
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if provider == nil {
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return AIMatchSnapshot{}, fmt.Errorf("尚未启用 AI 服务商，请管理员先完成连接测试并启用")
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}
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fingerprint := aiProviderFingerprint(*provider)
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if provider.LastTestStatus != "succeeded" || provider.LastTestFingerprint != fingerprint {
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return AIMatchSnapshot{}, fmt.Errorf("当前 AI 服务商配置未通过有效连接测试")
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}
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secret, err := secrets.Get(provider.ProviderID)
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if err != nil {
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return AIMatchSnapshot{}, err
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}
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if secret == "" {
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return AIMatchSnapshot{}, fmt.Errorf("当前 AI 服务商未配置 API Key")
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}
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if err := policy.ValidateResolved(ctx, provider.BaseURL); err != nil {
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return AIMatchSnapshot{}, err
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}
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client := NewOpenAICompatibleModelClient(NewSafeAIHTTPClient(policy, time.Duration(provider.TimeoutSeconds)*time.Second))
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return AIMatchSnapshot{Provider: *provider, ConfigFingerprint: fingerprint, Secret: secret, Client: client}, nil
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}
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// MatchSybSpecWithAI 对一条 SYB 商品执行规则优先、AI 补充的候选匹配。
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func MatchSybSpecWithAI(ctx context.Context, db *sql.DB, actor *model.User, snapshot AIMatchSnapshot, sybID, expectedVersion string) (AISpecMatchResult, error) {
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if actor == nil || !actor.IsActive() {
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return AISpecMatchResult{}, ErrUnauthenticated
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}
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orderContext, err := repository.GetSybOrderContext(db, strings.TrimSpace(sybID))
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if err != nil {
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return AISpecMatchResult{}, err
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}
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if orderContext == nil {
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return AISpecMatchResult{}, fmt.Errorf("顺运宝明细不存在")
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}
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version := mappingContextVersion(*orderContext)
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if expectedVersion != "" && expectedVersion != version {
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return AISpecMatchResult{Outcome: "stale", Message: "数据已变化，请刷新后重试", ContextVersion: version}, nil
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}
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key, err := spec.SpecKey(orderContext.Order.ProductSpec)
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if err != nil || orderContext.Order.SpecKey == "" || key != orderContext.Order.SpecKey {
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return AISpecMatchResult{Outcome: "rejected", Message: "顺运宝未提供有效规格", ContextVersion: version}, nil
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}
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if orderContext.PddGoodsID == "" || orderContext.PddCollectStatus != string(model.CollectCollected) || strings.TrimSpace(orderContext.PddSkusJSON) == "" {
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return AISpecMatchResult{Outcome: "rejected", Message: "当前 PDD 商品尚未完成采集", ContextVersion: version}, nil
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}
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if mappingIsValid(*orderContext) {
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source := orderContext.MappingSource
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if source == "" {
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source = "manual"
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}
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return AISpecMatchResult{Outcome: "reused", Message: "已复用当前有效规格映射", Source: source,
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OptionKey: orderContext.MappingOptionKey, ConfidenceBPS: orderContext.MappingConfidenceBPS,
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ConfidenceSet: orderContext.MappingConfidenceSet, ContextVersion: version}, nil
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}
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choices, keys, names, err := pddOptionChoices(orderContext.PddSkusJSON)
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if err != nil {
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return AISpecMatchResult{}, fmt.Errorf("读取 PDD 规格失败: %w", err)
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}
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baseDecision := newAISpecDecision(*orderContext, *actor, snapshot, version)
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if len(choices) == 0 {
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return recordAIMatchWithoutSave(db, baseDecision, "rejected", "PDD 没有当前可购买规格")
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}
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match := rankSpecChoices(orderContext.Order.ProductSpec, choices, keys, names)
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if match.PreselectOptionKey != "" {
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choice := choiceByKey(match.Choices, match.PreselectOptionKey)
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baseDecision.CandidatesJSON = candidateAuditJSON(bindAICandidates(match.Choices))
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if utf8.RuneCountInString(choice.Key) > 191 {
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return recordAIMatchWithoutSave(db, baseDecision, "rejected", "规则候选规格键超过可保存长度")
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}
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baseDecision.ChosenOptionKey, baseDecision.ConfidenceBPS, baseDecision.ConfidenceSet = choice.Key, 10000, true
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baseDecision.Reason = choice.RecommendationReason
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return saveAutomaticMapping(db, *actor, *orderContext, choice, "rule", baseDecision)
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}
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resolved, resolveReason := resolveExtraDimensionSignals(orderContext.Order.ProductSpec, match.Choices, keys, names)
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if resolveReason != "" {
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baseDecision.CandidatesJSON = candidateAuditJSON(bindAICandidates(match.Choices))
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return recordAIMatchWithoutSave(db, baseDecision, "rejected", resolveReason)
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}
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match = rankSpecChoices(orderContext.Order.ProductSpec, resolved, keys, names)
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if match.PreselectOptionKey != "" {
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choice := choiceByKey(match.Choices, match.PreselectOptionKey)
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baseDecision.CandidatesJSON = candidateAuditJSON(bindAICandidates(match.Choices))
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if utf8.RuneCountInString(choice.Key) > 191 {
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return recordAIMatchWithoutSave(db, baseDecision, "rejected", "规则候选规格键超过可保存长度")
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}
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baseDecision.ChosenOptionKey, baseDecision.ConfidenceBPS, baseDecision.ConfidenceSet = choice.Key, 10000, true
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baseDecision.Reason = choice.RecommendationReason
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return saveAutomaticMapping(db, *actor, *orderContext, choice, "rule", baseDecision)
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}
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eligible := make([]PddOptionChoice, 0, len(match.Choices))
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for _, choice := range match.Choices {
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if choice.MatchLevel != "冲突" && utf8.RuneCountInString(choice.Key) <= 191 {
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eligible = append(eligible, choice)
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}
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}
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if len(eligible) == 0 {
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baseDecision.CandidatesJSON = `[]`
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return recordAIMatchWithoutSave(db, baseDecision, "rejected", "全部候选都与顺运宝规格明确冲突")
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}
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if len(eligible) > maxAIModelCandidates {
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baseDecision.CandidatesJSON = candidateAuditJSON(bindAICandidates(eligible))
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return recordAIMatchWithoutSave(db, baseDecision, "rejected", "可购买候选过多，请先人工缩小范围")
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}
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bindings := bindAICandidates(eligible)
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baseDecision.CandidatesJSON = candidateAuditJSON(bindings)
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request := AIModelMatchRequest{ProductTitle: truncateRunes(orderContext.Order.Title, 300), SourceSpec: truncateRunes(orderContext.Order.ProductSpec, 300)}
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for _, binding := range bindings {
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request.Candidates = append(request.Candidates, AIModelCandidate{ID: binding.ID,
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Label: truncateRunes(binding.Choice.Label, 300), Options: boundedAIOptions(binding.Choice.Options)})
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}
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selection := selectAIWhitelistedCandidate(ctx, snapshot, request)
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response := selection.Response
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baseDecision.ChosenCandidateID = response.CandidateID
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baseDecision.ConfidenceBPS = response.ConfidenceBPS
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baseDecision.ConfidenceSet = selection.ConfidenceSet
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baseDecision.Reason = selection.Reason
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baseDecision.ConflictDimensionsJSON = stringArrayJSON(response.ConflictDimensions)
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baseDecision.MissingDimensionsJSON = stringArrayJSON(response.MissingDimensions)
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if selection.Status != aiSelectionMatched {
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outcome := "rejected"
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if selection.Status == aiSelectionFailed {
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outcome = "failed"
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}
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result, auditErr := recordAIMatchWithoutSave(db, baseDecision, outcome, selection.Reason)
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result.ModelCalled = selection.ModelCalled
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return result, auditErr
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}
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selected, found := bindingByID(bindings, response.CandidateID)
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if !found {
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// selectAIWhitelistedCandidate 已核对过同一 request；此分支只防以后
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// 绑定构造被改坏时把错误候选写进真实映射。
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result, auditErr := recordAIMatchWithoutSave(db, baseDecision, "rejected", "候选绑定已变化，未保存映射")
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result.ModelCalled = selection.ModelCalled
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return result, auditErr
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}
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baseDecision.ChosenOptionKey = selected.Choice.Key
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result, err := saveAutomaticMapping(db, *actor, *orderContext, selected.Choice, "ai", baseDecision)
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result.ModelCalled = selection.ModelCalled
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return result, err
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}
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func saveAutomaticMapping(db *sql.DB, actor model.User, original repository.SybOrderContext, selected PddOptionChoice, source string, decision model.AISpecMatchDecision) (AISpecMatchResult, error) {
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tx, err := db.Begin()
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if err != nil {
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return AISpecMatchResult{}, err
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}
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defer tx.Rollback()
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current, err := repository.GetSybOrderContext(tx, original.Order.SybID)
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if err != nil {
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return AISpecMatchResult{}, err
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}
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if current == nil || mappingContextVersion(*current) != decision.ContextVersion {
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decision.Outcome, decision.Reason = "stale", "保存前数据或规则已变化"
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if err := repository.InsertAISpecMatchDecision(tx, decision); err != nil {
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return AISpecMatchResult{}, err
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}
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if err := tx.Commit(); err != nil {
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return AISpecMatchResult{}, err
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}
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return AISpecMatchResult{Outcome: "stale", Message: decision.Reason, ContextVersion: decision.ContextVersion}, nil
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}
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latestChoice, err := findPddChoice(current.PddSkusJSON, selected.Key)
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if err != nil {
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return AISpecMatchResult{}, err
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}
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if latestChoice == nil {
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decision.Outcome, decision.Reason = "stale", "所选 PDD 规格已不存在或不可购买"
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if err := repository.InsertAISpecMatchDecision(tx, decision); err != nil {
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return AISpecMatchResult{}, err
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}
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if err := tx.Commit(); err != nil {
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return AISpecMatchResult{}, err
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}
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return AISpecMatchResult{Outcome: "stale", Message: decision.Reason, ContextVersion: decision.ContextVersion}, nil
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}
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if source == "ai" {
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choices, keys, names, parseErr := pddOptionChoices(current.PddSkusJSON)
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if parseErr != nil {
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return AISpecMatchResult{}, parseErr
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}
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match := rankSpecChoices(current.Order.ProductSpec, choices, keys, names)
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resolved, reason := resolveExtraDimensionSignals(current.Order.ProductSpec, match.Choices, keys, names)
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if reason != "" || !eligibleChoiceContains(current.Order.ProductSpec, resolved, keys, names, selected.Key) {
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decision.Outcome, decision.Reason = "stale", "保存前候选硬校验不再通过"
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if err := repository.InsertAISpecMatchDecision(tx, decision); err != nil {
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return AISpecMatchResult{}, err
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}
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if err := tx.Commit(); err != nil {
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return AISpecMatchResult{}, err
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}
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return AISpecMatchResult{Outcome: "stale", Message: decision.Reason, ContextVersion: decision.ContextVersion}, nil
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}
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}
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mappedAt := model.NowISO()
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mapping := model.SpecMapping{ShopeeGoodsID: current.Order.ShopeeGoodsID, SpecKey: current.Order.SpecKey,
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PddGoodsID: current.PddGoodsID, PddOptionKey: latestChoice.Key, PddOptions: latestChoice.OptionsJSON,
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SpecRaw: current.Order.ProductSpec, MappedAt: mappedAt, MappedBy: actor.UserID, Source: source,
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ConfidenceBPS: decision.ConfidenceBPS, ConfidenceSet: true, SourceReason: truncateRunes(decision.Reason, 500),
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SourceVersion: SpecMatchRulesVersion, ContextVersion: decision.ContextVersion}
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if source == "ai" {
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mapping.SourceProviderID, mapping.SourceModel = decision.ProviderID, decision.Model
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mapping.SourceVersion = decision.PromptVersion + "+" + decision.RulesVersion
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}
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if err := repository.UpsertAutomaticSpecMapping(tx, mapping); err != nil {
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return AISpecMatchResult{}, err
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}
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actual, err := repository.GetSpecMapping(tx, mapping.ShopeeGoodsID, mapping.SpecKey, mapping.PddGoodsID)
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if err != nil {
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return AISpecMatchResult{}, err
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}
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if actual == nil {
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return AISpecMatchResult{}, fmt.Errorf("自动规格映射保存后无法读取")
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}
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if actual.Source != source || actual.ContextVersion != mapping.ContextVersion || actual.PddOptionKey != mapping.PddOptionKey {
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outcome := "reused"
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actualSource := actual.Source
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if actualSource == "manual" || actualSource == "" {
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outcome, actualSource = "manual_exists", "manual"
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}
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decision.Outcome, decision.Reason, decision.ChosenOptionKey = outcome, "保存时发现已有映射，自动结果未覆盖", actual.PddOptionKey
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if err := repository.InsertAISpecMatchDecision(tx, decision); err != nil {
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return AISpecMatchResult{}, err
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}
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if err := tx.Commit(); err != nil {
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return AISpecMatchResult{}, err
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}
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return AISpecMatchResult{Outcome: outcome, Message: decision.Reason, Source: actualSource,
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OptionKey: actual.PddOptionKey, ConfidenceBPS: actual.ConfidenceBPS,
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ConfidenceSet: actual.ConfidenceSet, ContextVersion: decision.ContextVersion}, nil
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}
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decision.Outcome = source + "_saved"
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decision.ChosenOptionKey = latestChoice.Key
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decision.DecidedAt = mappedAt
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if err := repository.InsertAISpecMatchDecision(tx, decision); err != nil {
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return AISpecMatchResult{}, err
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}
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if err := tx.Commit(); err != nil {
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return AISpecMatchResult{}, err
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}
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return AISpecMatchResult{Outcome: decision.Outcome, Message: "规格映射已保存", Source: source,
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OptionKey: latestChoice.Key, ConfidenceBPS: decision.ConfidenceBPS,
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ConfidenceSet: decision.ConfidenceSet, ContextVersion: decision.ContextVersion}, nil
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}
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func recordAIMatchWithoutSave(db *sql.DB, decision model.AISpecMatchDecision, outcome, reason string) (AISpecMatchResult, error) {
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decision.Outcome, decision.Reason = outcome, truncateRunes(reason, 500)
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if decision.CandidatesJSON == "" {
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decision.CandidatesJSON = `[]`
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}
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if decision.ConflictDimensionsJSON == "" {
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decision.ConflictDimensionsJSON = `[]`
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}
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if decision.MissingDimensionsJSON == "" {
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decision.MissingDimensionsJSON = `[]`
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}
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if err := repository.InsertAISpecMatchDecision(db, decision); err != nil {
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return AISpecMatchResult{}, err
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}
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return AISpecMatchResult{Outcome: outcome, Message: decision.Reason, ConfidenceBPS: decision.ConfidenceBPS,
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ConfidenceSet: decision.ConfidenceSet, ContextVersion: decision.ContextVersion}, nil
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}
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func newAISpecDecision(c repository.SybOrderContext, actor model.User, snapshot AIMatchSnapshot, version string) model.AISpecMatchDecision {
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return model.AISpecMatchDecision{ShopeeGoodsID: c.Order.ShopeeGoodsID, SpecKey: c.Order.SpecKey,
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PddGoodsID: c.PddGoodsID, ContextVersion: version, RulesVersion: SpecMatchRulesVersion,
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PromptVersion: AISpecMatchPromptVersion, ProviderID: snapshot.Provider.ProviderID,
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ProviderName: snapshot.Provider.Name, Model: snapshot.Provider.Model,
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ConfigFingerprint: snapshot.ConfigFingerprint, CandidatesJSON: `[]`,
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ConflictDimensionsJSON: `[]`, MissingDimensionsJSON: `[]`, DecidedBy: actor.UserID, DecidedAt: model.NowISO()}
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}
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func bindAICandidates(choices []PddOptionChoice) []aiCandidateBinding {
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result := make([]aiCandidateBinding, 0, len(choices))
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for i, choice := range choices {
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result = append(result, aiCandidateBinding{ID: fmt.Sprintf("C%02d", i+1), Choice: choice})
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}
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return result
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}
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func bindingByID(bindings []aiCandidateBinding, id string) (aiCandidateBinding, bool) {
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for _, binding := range bindings {
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if binding.ID == id {
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return binding, true
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}
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}
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return aiCandidateBinding{}, false
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}
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func candidateAuditJSON(bindings []aiCandidateBinding) string {
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type item struct {
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ID string `json:"id"`
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OptionKey string `json:"option_key"`
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}
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values := make([]item, 0, len(bindings))
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for _, binding := range bindings {
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values = append(values, item{ID: binding.ID, OptionKey: binding.Choice.Key})
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}
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raw, _ := json.Marshal(values)
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return string(raw)
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}
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func resolveExtraDimensionSignals(raw string, choices []PddOptionChoice, keys, names []string) ([]PddOptionChoice, string) {
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colorKey, sizeKey, ambiguous, _ := identifyDimensions(choices, keys, names)
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if ambiguous {
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return nil, "颜色或尺码维度定义不明确，请人工核对"
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}
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filtered := append([]PddOptionChoice(nil), choices...)
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normalizedRaw := normalizeDimensionSignal(raw)
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for _, key := range keys {
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if key == colorKey || key == sizeKey {
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continue
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}
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values := map[string]bool{}
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for _, choice := range filtered {
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values[choice.Options[key]] = true
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}
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if len(values) <= 1 {
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continue
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}
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var matched []string
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for value := range values {
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normalizedValue := normalizeDimensionSignal(value)
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if normalizedValue != "" && strings.Contains(normalizedRaw, normalizedValue) {
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matched = append(matched, value)
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}
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}
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sort.Strings(matched)
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if len(matched) != 1 {
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return nil, "存在无法从顺运宝规格确定的额外规格维度，请人工核对"
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}
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selectedValue := matched[0]
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next := filtered[:0]
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for _, choice := range filtered {
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if choice.Options[key] == selectedValue {
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next = append(next, choice)
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}
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}
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filtered = append([]PddOptionChoice(nil), next...)
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}
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return filtered, ""
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}
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func normalizeDimensionSignal(raw string) string {
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return strings.ToLower(strings.Join(strings.Fields(simplifyExplicit(raw)), ""))
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}
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func boundedAIOptions(options map[string]string) map[string]string {
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result := make(map[string]string, len(options))
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for key, value := range options {
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result[truncateRunes(key, 64)] = truncateRunes(value, 128)
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}
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return result
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}
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func eligibleChoiceContains(raw string, choices []PddOptionChoice, keys, names []string, optionKey string) bool {
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match := rankSpecChoices(raw, choices, keys, names)
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for _, choice := range match.Choices {
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if choice.Key == optionKey && choice.MatchLevel != "冲突" {
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return true
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}
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}
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return false
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}
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func choiceByKey(choices []PddOptionChoice, key string) PddOptionChoice {
|
|
for _, choice := range choices {
|
|
if choice.Key == key {
|
|
return choice
|
|
}
|
|
}
|
|
return PddOptionChoice{}
|
|
}
|
|
|
|
func validateAIModelMatchResponse(response AIModelMatchResponse) error {
|
|
if response.Conclusion != "match" && response.Conclusion != "uncertain" && response.Conclusion != "conflict" {
|
|
return fmt.Errorf("AI 模型结论字段无效")
|
|
}
|
|
if response.ConfidenceBPS < 0 || response.ConfidenceBPS > 10000 {
|
|
return fmt.Errorf("AI 模型置信度超出范围")
|
|
}
|
|
if response.Conclusion == "match" && strings.TrimSpace(response.CandidateID) == "" {
|
|
return fmt.Errorf("AI 模型没有返回候选编号")
|
|
}
|
|
if strings.TrimSpace(response.Reason) == "" || utf8.RuneCountInString(response.Reason) > 500 {
|
|
return fmt.Errorf("AI 模型理由为空或过长")
|
|
}
|
|
for _, values := range [][]string{response.ConflictDimensions, response.MissingDimensions} {
|
|
if len(values) > 8 {
|
|
return fmt.Errorf("AI 模型返回的维度列表过长")
|
|
}
|
|
for _, value := range values {
|
|
if strings.TrimSpace(value) == "" || utf8.RuneCountInString(value) > 64 {
|
|
return fmt.Errorf("AI 模型返回的维度名称无效")
|
|
}
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func stringArrayJSON(values []string) string {
|
|
if values == nil {
|
|
values = []string{}
|
|
}
|
|
raw, _ := json.Marshal(values)
|
|
return string(raw)
|
|
}
|
|
|
|
func truncateRunes(value string, max int) string {
|
|
runes := []rune(strings.TrimSpace(value))
|
|
if len(runes) > max {
|
|
runes = runes[:max]
|
|
}
|
|
return string(runes)
|
|
}
|