feat: async ai workbench tasks
This commit is contained in:
+44
-99
@@ -118,48 +118,28 @@ func (a *API) aiDocumentGenerate(w http.ResponseWriter, r *http.Request, p *auth
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return
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}
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taskID := "aitask_" + randomToken(12)
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started := time.Now().UTC().Round(time.Millisecond)
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snapshot, err := aiTaskSnapshot(aiDocumentTaskSnapshot{
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SourceText: source,
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TitleHint: strings.TrimSpace(body.TitleHint),
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DocumentType: strings.TrimSpace(body.DocumentType),
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Language: strings.TrimSpace(body.Language),
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})
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if err != nil {
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writeStoreError(w, r, err)
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return
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}
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if err := st.CreateAITask(r.Context(), store.AITask{
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TaskID: taskID, TenantCode: p.TenantCode, UserID: strconv.FormatInt(p.UserID, 10), Feature: "smart_document",
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Status: "processing", Progress: 10, SourceType: "text", InputHash: hashText(source),
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Status: "queued", Progress: 0, SourceType: "text", InputHash: hashText(source),
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InputSnapshot: snapshot,
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PromptVersion: "smart_document_v1", Model: "",
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StartedAt: &started,
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}, nil); err != nil {
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writeStoreError(w, r, err)
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return
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}
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result, err := a.ai.GenerateDocument(r.Context(), source, strings.TrimSpace(body.TitleHint), strings.TrimSpace(body.DocumentType), strings.TrimSpace(body.Language))
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if err != nil {
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_ = st.UpdateAITaskResult(r.Context(), taskID, "failed", 100, "", nil, aiErrorReason(err), err.Error())
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_ = st.InsertAIUsageLog(r.Context(), store.AIUsageLog{
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TenantCode: p.TenantCode, UserID: formatUserID(p.UserID), Feature: "smart_document", TaskID: taskID,
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Provider: "deepseek", Status: "failed", ErrorReason: aiErrorReason(err), InputHash: hashText(source),
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})
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a.writeAIError(w, r, err)
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return
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}
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taskResult := map[string]any{
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"title": result.Title,
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"summary": result.Summary,
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"content_markdown": result.ContentMarkdown,
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"content_plain": result.ContentPlain,
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"sections": result.Sections,
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"source_excerpt": excerpt(source, 200),
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"can_save": true,
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}
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if err := st.UpdateAITaskResult(r.Context(), taskID, "succeeded", 100, "", taskResult, "", ""); err != nil {
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writeStoreError(w, r, err)
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return
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}
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_ = st.InsertAIUsageLog(r.Context(), store.AIUsageLog{
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TenantCode: p.TenantCode, UserID: formatUserID(p.UserID), Feature: "smart_document", TaskID: taskID,
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Provider: "deepseek", Model: result.Usage.Model, ProviderRequestID: result.Usage.ProviderRequestID,
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PromptTokens: result.Usage.PromptTokens, CompletionTokens: result.Usage.CompletionTokens, TotalTokens: result.Usage.TotalTokens,
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LatencyMS: int(result.Usage.LatencyMS), Status: "succeeded", InputHash: hashText(source), OutputHash: hashText(result.ContentMarkdown),
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})
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writeSuccess(w, r, map[string]any{
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"task_id": taskID,
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"status": "succeeded",
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"status": "queued",
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"polling_interval_ms": 1500,
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"expires_at": time.Now().UTC().Add(2 * time.Hour).Format(time.RFC3339Nano),
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})
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@@ -179,6 +159,13 @@ func (a *API) aiTaskResource(w http.ResponseWriter, r *http.Request, p *auth.Pri
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writeStoreError(w, r, err)
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return
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}
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feature := ""
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if task, err := st.AITask(r.Context(), p.UserID, taskID); err == nil {
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feature = task.Feature
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}
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a.publishAITaskEvent(r.Context(), p.TenantID, p.TenantCode, p.UserID, taskID, "ai", "AI 任务已取消", "", map[string]any{
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"task_id": taskID, "feature": feature, "status": "canceled", "progress": 100, "result_type": "none",
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})
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writeSuccess(w, r, map[string]any{"task_id": taskID, "status": "canceled", "canceled_at": time.Now().UTC().Format(time.RFC3339Nano)})
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return
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}
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@@ -370,50 +357,23 @@ func (a *API) aiTableAnalysisCreate(w http.ResponseWriter, r *http.Request, p *a
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}
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taskID := "aitask_tbl_" + randomToken(12)
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recordID := "airec_tbl_" + randomToken(10)
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started := time.Now().UTC().Round(time.Millisecond)
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snapshot, err := aiTaskSnapshot(aiTableTaskSnapshot{
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FileID: fileID, FileName: strings.TrimSpace(body.FileName), FileType: fileType, FileSize: fileSize,
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Topic: topic, SheetName: strings.TrimSpace(body.SheetName), Language: strings.TrimSpace(body.Language), RecordID: recordID,
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})
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if err != nil {
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writeStoreError(w, r, err)
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return
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}
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if err := st.CreateAITask(r.Context(), store.AITask{
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TaskID: taskID, TenantCode: p.TenantCode, UserID: strconv.FormatInt(p.UserID, 10), Feature: "smart_table",
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Status: "processing", Progress: 20, SourceType: "file", SourceRefID: fileID, InputHash: hashText(fileID + ":" + topic),
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PromptVersion: "smart_table_v1", StartedAt: &started,
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Status: "queued", Progress: 0, SourceType: "file", SourceRefID: fileID, InputHash: hashText(fileID + ":" + topic),
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InputSnapshot: snapshot, PromptVersion: "smart_table_v1",
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}, nil); err != nil {
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writeStoreError(w, r, err)
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return
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}
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profile := a.tableProfileForAI(r, fileID, fileMeta, fileType)
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result, err := a.ai.AnalyzeTable(r.Context(), ai.TableAnalysisInput{
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Topic: topic, FileID: fileID, FileName: strings.TrimSpace(body.FileName), FileType: fileType, FileSize: fileSize, Profile: profile,
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})
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if err != nil {
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_ = st.UpdateAITaskResult(r.Context(), taskID, "failed", 100, "", nil, aiErrorReason(err), err.Error())
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a.writeAIError(w, r, err)
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return
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}
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metricsJSON := mustJSON(result.Metrics, "[]")
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previewJSON := mustJSON(result.Preview, "{}")
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alertsJSON := mustJSON(result.Alerts, "[]")
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if err := st.SaveAITableAnalysis(r.Context(), p.TenantCode, p.UserID, store.AIRecord{
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RecordID: recordID, RecordType: "smart_table", Title: result.Title, Summary: excerpt(firstNonEmpty(result.Summary, result.Interpretation), 160),
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Status: "succeeded", TaskID: taskID,
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}, store.AITableAnalysis{
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RecordID: recordID, FileID: fileID, FileName: strings.TrimSpace(body.FileName), FileType: fileType, FileSize: fileSize,
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Topic: topic, MetricsJSON: metricsJSON, PreviewJSON: previewJSON, AlertsJSON: alertsJSON, Interpretation: result.Interpretation,
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PromptVersion: "smart_table_v1", Model: result.Usage.Model,
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}); err != nil {
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writeStoreError(w, r, err)
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return
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}
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taskResult := map[string]any{"record_id": recordID, "title": result.Title, "metrics": result.Metrics, "alerts": result.Alerts, "interpretation": result.Interpretation}
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if err := st.UpdateAITaskResult(r.Context(), taskID, "succeeded", 100, recordID, taskResult, "", ""); err != nil {
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writeStoreError(w, r, err)
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return
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}
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_ = st.InsertAIUsageLog(r.Context(), store.AIUsageLog{
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TenantCode: p.TenantCode, UserID: formatUserID(p.UserID), Feature: "smart_table", TaskID: taskID,
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Provider: "deepseek", Model: result.Usage.Model, ProviderRequestID: result.Usage.ProviderRequestID,
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PromptTokens: result.Usage.PromptTokens, CompletionTokens: result.Usage.CompletionTokens, TotalTokens: result.Usage.TotalTokens,
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LatencyMS: int(result.Usage.LatencyMS), Status: "succeeded", InputHash: hashText(fileID + ":" + topic), OutputHash: hashText(result.Interpretation),
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})
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writeSuccess(w, r, map[string]any{"task_id": taskID, "record_id": recordID, "status": "succeeded", "polling_interval_ms": 1500})
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writeSuccess(w, r, map[string]any{"task_id": taskID, "record_id": recordID, "status": "queued", "polling_interval_ms": 1500})
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}
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func (a *API) aiTableAnalysisResource(w http.ResponseWriter, r *http.Request, p *auth.Principal, st *store.Store) {
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@@ -532,8 +492,7 @@ func (a *API) aiMeetingSummaryCreate(w http.ResponseWriter, r *http.Request, p *
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if _, ok := a.requireAICapability(w, r, st, "meeting_summary"); !ok {
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return
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}
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meeting, err := st.Meeting(r.Context(), p.UserID, meetingID)
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if err != nil {
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if _, err := st.Meeting(r.Context(), p.UserID, meetingID); err != nil {
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writeStoreError(w, r, err)
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return
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}
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@@ -542,40 +501,26 @@ func (a *API) aiMeetingSummaryCreate(w http.ResponseWriter, r *http.Request, p *
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writeStoreError(w, r, err)
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return
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}
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fileNames, fileIDs := meetingSummaryFiles(files, body.FileIDs)
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_, fileIDs := meetingSummaryFiles(files, body.FileIDs)
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taskID := "aitask_mtg_" + randomToken(12)
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summaryID := "aisum_" + randomToken(10)
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started := time.Now().UTC().Round(time.Millisecond)
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snapshot, err := aiTaskSnapshot(aiMeetingSummaryTaskSnapshot{
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MeetingID: meetingID, SummaryID: summaryID, FileIDs: fileIDs,
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SummaryType: strings.TrimSpace(body.SummaryType), ForceRegenerate: body.ForceRegenerate,
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})
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if err != nil {
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writeStoreError(w, r, err)
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return
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}
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if err := st.CreateAITask(r.Context(), store.AITask{
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TaskID: taskID, TenantCode: p.TenantCode, UserID: strconv.FormatInt(p.UserID, 10), Feature: "meeting_summary",
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Status: "processing", Progress: 20, SourceType: "meeting", SourceRefID: meetingID, InputHash: hashText(meetingID + strings.Join(fileIDs, ",")),
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PromptVersion: "meeting_summary_v1", StartedAt: &started,
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Status: "queued", Progress: 0, SourceType: "meeting", SourceRefID: meetingID, InputHash: hashText(meetingID + strings.Join(fileIDs, ",")),
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InputSnapshot: snapshot, PromptVersion: "meeting_summary_v1",
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}, nil); err != nil {
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writeStoreError(w, r, err)
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return
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}
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result, err := a.ai.SummarizeMeeting(r.Context(), ai.MeetingSummaryInput{
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MeetingTitle: meeting.Title, StartAt: meeting.StartAt.UTC().Format(time.RFC3339Nano), EndAt: meeting.EndAt.UTC().Format(time.RFC3339Nano),
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Participants: meetingSummaryParticipants(*meeting), Files: fileNames,
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})
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if err != nil {
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_ = st.UpdateAITaskResult(r.Context(), taskID, "failed", 100, "", nil, aiErrorReason(err), err.Error())
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a.writeAIError(w, r, err)
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return
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}
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if err := st.UpsertAIMeetingSummary(r.Context(), p.TenantCode, p.UserID, store.AIMeetingSummary{
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SummaryID: summaryID, MeetingID: meetingID, TaskID: taskID,
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ConclusionsJSON: mustJSON(result.Conclusions, "[]"), DecisionsJSON: mustJSON(result.Decisions, "[]"),
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ActionItemsJSON: mustJSON(result.ActionItems, "[]"), SourceFileIDsJSON: mustJSON(fileIDs, "[]"),
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PromptVersion: "meeting_summary_v1", Model: result.Usage.Model,
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}); err != nil {
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writeStoreError(w, r, err)
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return
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}
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_ = st.UpdateAITaskResult(r.Context(), taskID, "succeeded", 100, summaryID, map[string]any{
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"summary_id": summaryID, "meeting_id": meetingID, "conclusions": result.Conclusions, "decisions": result.Decisions, "action_items": result.ActionItems,
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}, "", "")
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writeSuccess(w, r, map[string]any{"task_id": taskID, "meeting_id": meetingID, "status": "succeeded", "polling_interval_ms": 1500})
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writeSuccess(w, r, map[string]any{"task_id": taskID, "meeting_id": meetingID, "summary_id": summaryID, "status": "queued", "polling_interval_ms": 1500})
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}
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func (a *API) aiMeetingSummaryUpdate(w http.ResponseWriter, r *http.Request, p *auth.Principal, st *store.Store, meetingID string) {
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@@ -0,0 +1,366 @@
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package httpapi
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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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"errors"
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"log"
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"strconv"
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"strings"
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"time"
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"git.118im.com/im_team/im_workbench/internal/ai"
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"git.118im.com/im_team/im_workbench/internal/events"
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"git.118im.com/im_team/im_workbench/internal/store"
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)
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const (
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aiWorkerCount = 2
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aiWorkerPollInterval = time.Second
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aiTaskRunTimeout = 3 * time.Minute
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)
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type aiDocumentTaskSnapshot struct {
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SourceText string `json:"source_text"`
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TitleHint string `json:"title_hint"`
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DocumentType string `json:"document_type"`
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Language string `json:"language"`
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}
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type aiTableTaskSnapshot struct {
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FileID string `json:"file_id"`
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FileName string `json:"file_name"`
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FileType string `json:"file_type"`
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FileSize int64 `json:"file_size"`
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Topic string `json:"topic"`
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SheetName string `json:"sheet_name"`
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Language string `json:"language"`
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RecordID string `json:"record_id"`
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}
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type aiMeetingSummaryTaskSnapshot struct {
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MeetingID string `json:"meeting_id"`
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SummaryID string `json:"summary_id"`
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FileIDs []string `json:"file_ids"`
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SummaryType string `json:"summary_type"`
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ForceRegenerate bool `json:"force_regenerate"`
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}
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func (a *API) StartAIWorkers(ctx context.Context) {
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if a == nil || a.store == nil || a.ai == nil {
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return
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}
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for i := 0; i < aiWorkerCount; i++ {
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go a.aiWorkerLoop(ctx, i+1)
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}
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}
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func (a *API) aiWorkerLoop(ctx context.Context, workerID int) {
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ticker := time.NewTicker(aiWorkerPollInterval)
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defer ticker.Stop()
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for {
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task, err := a.store.ClaimQueuedAITask(ctx)
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if errors.Is(err, store.ErrNotFound) {
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select {
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case <-ctx.Done():
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return
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case <-ticker.C:
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continue
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}
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}
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if err != nil {
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log.Printf("ai worker claim failed: worker=%d err=%v", workerID, err)
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select {
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case <-ctx.Done():
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return
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case <-ticker.C:
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continue
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}
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}
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a.runAITask(ctx, task)
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}
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}
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func (a *API) runAITask(parent context.Context, task *store.AITask) {
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ctx, cancel := context.WithTimeout(parent, aiTaskRunTimeout)
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defer cancel()
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st, err := a.store.ForTenant(ctx, task.TenantID, task.TenantCode)
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if err != nil {
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log.Printf("ai task tenant store failed: task_id=%s tenant_id=%d err=%v", task.TaskID, task.TenantID, err)
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return
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}
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switch task.Feature {
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case "smart_document":
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a.runAIDocumentTask(ctx, st, task)
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case "smart_table":
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a.runAITableTask(ctx, st, task)
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case "meeting_summary":
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a.runAIMeetingSummaryTask(ctx, st, task)
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default:
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a.finishAITaskFailure(ctx, st, task, "AI_TASK_UNSUPPORTED", "unsupported ai task feature")
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}
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}
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func (a *API) runAIDocumentTask(ctx context.Context, st *store.Store, task *store.AITask) {
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var input aiDocumentTaskSnapshot
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if !decodeTaskSnapshot(task, &input) {
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a.finishAITaskFailure(ctx, st, task, reasonMalformedRequest, "invalid task input")
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return
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}
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result, err := a.ai.GenerateDocument(ctx, strings.TrimSpace(input.SourceText), strings.TrimSpace(input.TitleHint), strings.TrimSpace(input.DocumentType), strings.TrimSpace(input.Language))
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if err != nil {
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a.finishAITaskAIError(ctx, st, task, err, hashText(input.SourceText))
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return
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}
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taskResult := map[string]any{
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"title": result.Title,
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"summary": result.Summary,
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"content_markdown": result.ContentMarkdown,
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"content_plain": result.ContentPlain,
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"sections": result.Sections,
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"source_excerpt": excerpt(input.SourceText, 200),
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"can_save": true,
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}
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ok, err := st.FinishAITaskResult(ctx, task.TaskID, "succeeded", 100, "", taskResult, "", "")
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if err != nil {
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log.Printf("ai document task finish failed: task_id=%s err=%v", task.TaskID, err)
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return
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}
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if !ok {
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return
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}
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userID := taskUserID(task)
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_ = st.InsertAIUsageLog(ctx, store.AIUsageLog{
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TenantCode: task.TenantCode, UserID: task.UserID, Feature: "smart_document", TaskID: task.TaskID,
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Provider: "deepseek", Model: result.Usage.Model, ProviderRequestID: result.Usage.ProviderRequestID,
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PromptTokens: result.Usage.PromptTokens, CompletionTokens: result.Usage.CompletionTokens, TotalTokens: result.Usage.TotalTokens,
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LatencyMS: int(result.Usage.LatencyMS), Status: "succeeded", InputHash: hashText(input.SourceText), OutputHash: hashText(result.ContentMarkdown),
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})
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a.publishAITaskEvent(ctx, task.TenantID, task.TenantCode, userID, task.TaskID, "smart_document", result.Title, result.Summary, map[string]any{
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"task_id": task.TaskID, "feature": "smart_document", "status": "succeeded", "progress": 100, "result_type": "text",
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"result": compactAITextResult(result.Title, result.Summary, result.ContentMarkdown, result.ContentPlain),
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"updated_at": time.Now().UTC().Format(time.RFC3339Nano),
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})
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}
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func (a *API) runAITableTask(ctx context.Context, st *store.Store, task *store.AITask) {
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var input aiTableTaskSnapshot
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if !decodeTaskSnapshot(task, &input) {
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a.finishAITaskFailure(ctx, st, task, reasonMalformedRequest, "invalid task input")
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return
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}
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fileType := strings.ToLower(strings.TrimSpace(input.FileType))
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fileMeta := st.AIFileMetadata(ctx, input.FileID)
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profile := a.tableProfileForAIContext(ctx, input.FileID, fileMeta, fileType)
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result, err := a.ai.AnalyzeTable(ctx, ai.TableAnalysisInput{
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Topic: input.Topic, FileID: input.FileID, FileName: input.FileName, FileType: fileType, FileSize: input.FileSize, Profile: profile,
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})
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if err != nil {
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a.finishAITaskAIError(ctx, st, task, err, hashText(input.FileID+":"+input.Topic))
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return
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}
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recordID := strings.TrimSpace(input.RecordID)
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if recordID == "" {
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recordID = "airec_tbl_" + randomToken(10)
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||||
}
|
||||
if err := st.SaveAITableAnalysis(ctx, task.TenantCode, taskUserID(task), store.AIRecord{
|
||||
RecordID: recordID, RecordType: "smart_table", Title: result.Title, Summary: excerpt(firstNonEmpty(result.Summary, result.Interpretation), 160),
|
||||
Status: "succeeded", TaskID: task.TaskID,
|
||||
}, store.AITableAnalysis{
|
||||
RecordID: recordID, FileID: input.FileID, FileName: input.FileName, FileType: fileType, FileSize: input.FileSize,
|
||||
Topic: input.Topic, MetricsJSON: mustJSON(result.Metrics, "[]"), PreviewJSON: mustJSON(result.Preview, "{}"),
|
||||
AlertsJSON: mustJSON(result.Alerts, "[]"), Interpretation: result.Interpretation,
|
||||
PromptVersion: "smart_table_v1", Model: result.Usage.Model,
|
||||
}); err != nil {
|
||||
a.finishAITaskFailure(ctx, st, task, reasonAITaskFailed, err.Error())
|
||||
return
|
||||
}
|
||||
taskResult := map[string]any{"record_id": recordID, "title": result.Title, "metrics": result.Metrics, "alerts": result.Alerts, "interpretation": result.Interpretation}
|
||||
ok, err := st.FinishAITaskResult(ctx, task.TaskID, "succeeded", 100, recordID, taskResult, "", "")
|
||||
if err != nil {
|
||||
log.Printf("ai table task finish failed: task_id=%s err=%v", task.TaskID, err)
|
||||
return
|
||||
}
|
||||
if !ok {
|
||||
return
|
||||
}
|
||||
_ = st.InsertAIUsageLog(ctx, store.AIUsageLog{
|
||||
TenantCode: task.TenantCode, UserID: task.UserID, Feature: "smart_table", TaskID: task.TaskID,
|
||||
Provider: "deepseek", Model: result.Usage.Model, ProviderRequestID: result.Usage.ProviderRequestID,
|
||||
PromptTokens: result.Usage.PromptTokens, CompletionTokens: result.Usage.CompletionTokens, TotalTokens: result.Usage.TotalTokens,
|
||||
LatencyMS: int(result.Usage.LatencyMS), Status: "succeeded", InputHash: hashText(input.FileID + ":" + input.Topic), OutputHash: hashText(result.Interpretation),
|
||||
})
|
||||
a.publishAITaskEvent(ctx, task.TenantID, task.TenantCode, taskUserID(task), task.TaskID, "smart_table", result.Title, result.Summary, map[string]any{
|
||||
"task_id": task.TaskID, "feature": "smart_table", "status": "succeeded", "progress": 100, "result_type": "record",
|
||||
"record_id": recordID,
|
||||
"result": map[string]any{"record_id": recordID, "title": result.Title, "summary": excerpt(firstNonEmpty(result.Summary, result.Interpretation), 160)},
|
||||
"updated_at": time.Now().UTC().Format(time.RFC3339Nano),
|
||||
})
|
||||
}
|
||||
|
||||
func (a *API) runAIMeetingSummaryTask(ctx context.Context, st *store.Store, task *store.AITask) {
|
||||
var input aiMeetingSummaryTaskSnapshot
|
||||
if !decodeTaskSnapshot(task, &input) {
|
||||
a.finishAITaskFailure(ctx, st, task, reasonMalformedRequest, "invalid task input")
|
||||
return
|
||||
}
|
||||
userID := taskUserID(task)
|
||||
meeting, err := st.Meeting(ctx, userID, input.MeetingID)
|
||||
if err != nil {
|
||||
a.finishAITaskFailure(ctx, st, task, reasonAITaskFailed, err.Error())
|
||||
return
|
||||
}
|
||||
files, err := st.MeetingNoteFiles(ctx, userID, input.MeetingID)
|
||||
if err != nil {
|
||||
a.finishAITaskFailure(ctx, st, task, reasonAITaskFailed, err.Error())
|
||||
return
|
||||
}
|
||||
fileNames, fileIDs := meetingSummaryFiles(files, input.FileIDs)
|
||||
result, err := a.ai.SummarizeMeeting(ctx, ai.MeetingSummaryInput{
|
||||
MeetingTitle: meeting.Title, StartAt: meeting.StartAt.UTC().Format(time.RFC3339Nano), EndAt: meeting.EndAt.UTC().Format(time.RFC3339Nano),
|
||||
Participants: meetingSummaryParticipants(*meeting), Files: fileNames,
|
||||
})
|
||||
if err != nil {
|
||||
a.finishAITaskAIError(ctx, st, task, err, hashText(input.MeetingID+strings.Join(fileIDs, ",")))
|
||||
return
|
||||
}
|
||||
summaryID := strings.TrimSpace(input.SummaryID)
|
||||
if summaryID == "" {
|
||||
summaryID = "aisum_" + randomToken(10)
|
||||
}
|
||||
if err := st.UpsertAIMeetingSummary(ctx, task.TenantCode, userID, store.AIMeetingSummary{
|
||||
SummaryID: summaryID, MeetingID: input.MeetingID, TaskID: task.TaskID,
|
||||
ConclusionsJSON: mustJSON(result.Conclusions, "[]"), DecisionsJSON: mustJSON(result.Decisions, "[]"),
|
||||
ActionItemsJSON: mustJSON(result.ActionItems, "[]"), SourceFileIDsJSON: mustJSON(fileIDs, "[]"),
|
||||
PromptVersion: "meeting_summary_v1", Model: result.Usage.Model,
|
||||
}); err != nil {
|
||||
a.finishAITaskFailure(ctx, st, task, reasonAITaskFailed, err.Error())
|
||||
return
|
||||
}
|
||||
taskResult := map[string]any{
|
||||
"summary_id": summaryID, "meeting_id": input.MeetingID,
|
||||
"conclusions": result.Conclusions, "decisions": result.Decisions, "action_items": result.ActionItems,
|
||||
}
|
||||
ok, err := st.FinishAITaskResult(ctx, task.TaskID, "succeeded", 100, summaryID, taskResult, "", "")
|
||||
if err != nil {
|
||||
log.Printf("ai meeting summary task finish failed: task_id=%s err=%v", task.TaskID, err)
|
||||
return
|
||||
}
|
||||
if !ok {
|
||||
return
|
||||
}
|
||||
_ = st.InsertAIUsageLog(ctx, store.AIUsageLog{
|
||||
TenantCode: task.TenantCode, UserID: task.UserID, Feature: "meeting_summary", TaskID: task.TaskID,
|
||||
Provider: "deepseek", Model: result.Usage.Model, ProviderRequestID: result.Usage.ProviderRequestID,
|
||||
PromptTokens: result.Usage.PromptTokens, CompletionTokens: result.Usage.CompletionTokens, TotalTokens: result.Usage.TotalTokens,
|
||||
LatencyMS: int(result.Usage.LatencyMS), Status: "succeeded", InputHash: hashText(input.MeetingID + strings.Join(fileIDs, ",")), OutputHash: hashText(mustJSON(result.Conclusions, "[]")),
|
||||
})
|
||||
a.publishAITaskEvent(ctx, task.TenantID, task.TenantCode, userID, task.TaskID, "meeting_summary", meeting.Title, "", map[string]any{
|
||||
"task_id": task.TaskID, "feature": "meeting_summary", "status": "succeeded", "progress": 100, "result_type": "summary",
|
||||
"meeting_id": input.MeetingID, "summary_id": summaryID,
|
||||
"result": map[string]any{"meeting_id": input.MeetingID, "summary_id": summaryID, "conclusions": result.Conclusions, "decisions": result.Decisions, "action_items": result.ActionItems},
|
||||
"updated_at": time.Now().UTC().Format(time.RFC3339Nano),
|
||||
})
|
||||
}
|
||||
|
||||
func (a *API) finishAITaskAIError(ctx context.Context, st *store.Store, task *store.AITask, err error, inputHash string) {
|
||||
reason := aiErrorReason(err)
|
||||
a.finishAITaskFailure(ctx, st, task, reason, err.Error())
|
||||
_ = st.InsertAIUsageLog(ctx, store.AIUsageLog{
|
||||
TenantCode: task.TenantCode, UserID: task.UserID, Feature: task.Feature, TaskID: task.TaskID,
|
||||
Provider: "deepseek", Status: "failed", ErrorReason: reason, InputHash: inputHash,
|
||||
})
|
||||
}
|
||||
|
||||
func (a *API) finishAITaskFailure(ctx context.Context, st *store.Store, task *store.AITask, reason, message string) {
|
||||
ok, err := st.FinishAITaskResult(ctx, task.TaskID, "failed", 100, "", nil, reason, message)
|
||||
if err != nil {
|
||||
log.Printf("ai task failure update failed: task_id=%s reason=%s err=%v", task.TaskID, reason, err)
|
||||
return
|
||||
}
|
||||
if !ok {
|
||||
return
|
||||
}
|
||||
a.publishAITaskEvent(ctx, task.TenantID, task.TenantCode, taskUserID(task), task.TaskID, task.Feature, "AI 任务失败", message, map[string]any{
|
||||
"task_id": task.TaskID, "feature": task.Feature, "status": "failed", "progress": 100, "result_type": "none",
|
||||
"error": map[string]any{"reason": reason, "message": message},
|
||||
"updated_at": time.Now().UTC().Format(time.RFC3339Nano),
|
||||
})
|
||||
}
|
||||
|
||||
func (a *API) publishAITaskEvent(ctx context.Context, tenantID int64, tenantCode string, userID int64, taskID, feature, title, summary string, data map[string]any) {
|
||||
if a == nil || a.events == nil || userID <= 0 || strings.TrimSpace(taskID) == "" {
|
||||
return
|
||||
}
|
||||
event := events.Event{
|
||||
EventID: events.StableEventID(tenantID, "ai", "workbench.ai.task.updated", taskID+":"+stringValue(data["status"]), userID),
|
||||
TenantID: tenantID,
|
||||
TenantCode: tenantCode,
|
||||
ActorUserID: userID,
|
||||
Module: "ai",
|
||||
Action: "workbench.ai.task.updated",
|
||||
ResourceID: taskID,
|
||||
TargetUserIDs: []int64{userID},
|
||||
Title: strings.TrimSpace(title),
|
||||
Summary: strings.TrimSpace(summary),
|
||||
OccurredAt: time.Now().UTC().Round(time.Millisecond),
|
||||
Data: data,
|
||||
}
|
||||
pubCtx, cancel := context.WithTimeout(ctx, workbenchEventPublishTimeout)
|
||||
defer cancel()
|
||||
if err := a.events.Publish(pubCtx, event); err != nil {
|
||||
log.Printf("ai task event publish failed: event_id=%s task_id=%s feature=%s err=%v", event.EventID, taskID, feature, err)
|
||||
}
|
||||
}
|
||||
|
||||
func aiTaskSnapshot(value any) (sql.NullString, error) {
|
||||
data, err := json.Marshal(value)
|
||||
if err != nil {
|
||||
return sql.NullString{}, err
|
||||
}
|
||||
return sql.NullString{String: string(data), Valid: true}, nil
|
||||
}
|
||||
|
||||
func decodeTaskSnapshot(task *store.AITask, dst any) bool {
|
||||
if task == nil || !task.InputSnapshot.Valid || strings.TrimSpace(task.InputSnapshot.String) == "" {
|
||||
return false
|
||||
}
|
||||
return json.Unmarshal([]byte(task.InputSnapshot.String), dst) == nil
|
||||
}
|
||||
|
||||
func (a *API) tableProfileForAIContext(ctx context.Context, fileID string, meta store.AIFileMetadata, fileType string) ai.TableProfile {
|
||||
if path := resolveTableFilePath(fileID, meta.Location); path != "" {
|
||||
return tableProfileFromPath(path, fileType)
|
||||
}
|
||||
if strings.TrimSpace(meta.Location) == "" {
|
||||
return ai.TableProfile{Parsed: false, Message: "source file metadata is not available"}
|
||||
}
|
||||
path, cleanup, err := a.downloadOSSObjectToTemp(ctx, meta.Location, fileType)
|
||||
if err != nil {
|
||||
return ai.TableProfile{Parsed: false, Message: "source file is not available: " + err.Error()}
|
||||
}
|
||||
defer cleanup()
|
||||
return tableProfileFromPath(path, fileType)
|
||||
}
|
||||
|
||||
func taskUserID(task *store.AITask) int64 {
|
||||
if task == nil {
|
||||
return 0
|
||||
}
|
||||
userID, _ := strconv.ParseInt(strings.TrimSpace(task.UserID), 10, 64)
|
||||
return userID
|
||||
}
|
||||
|
||||
func compactAITextResult(title, summary, markdown, plain string) map[string]any {
|
||||
result := map[string]any{"title": title, "summary": summary, "content_plain": plain}
|
||||
if len([]rune(markdown)) <= 8000 {
|
||||
result["content_markdown"] = markdown
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
func stringValue(value any) string {
|
||||
text, _ := value.(string)
|
||||
return strings.TrimSpace(text)
|
||||
}
|
||||
Reference in New Issue
Block a user