feat(pipeline): add POST /ingest-raw for direct batch ingestion without LLM
Allows callers to provide pre-structured RawPage data directly, bypassing the LLM extraction step. The pipeline still handles slug computation, frontmatter, link canonicalization, source back-references, and dedup — only the extraction is skipped. Useful when a more capable model or manual curation produces the structured data. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -68,6 +68,7 @@ func main() {
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mux.HandleFunc("POST /write", h.Write)
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mux.HandleFunc("POST /ingest", h.Ingest)
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mux.HandleFunc("POST /ingest-path", h.IngestPath)
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mux.HandleFunc("POST /ingest-raw", h.IngestRaw)
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mux.HandleFunc("POST /backfill-refs", h.BackfillRefs)
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addr := ":" + port
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@@ -272,6 +272,48 @@ func (h *Handler) IngestPath(w http.ResponseWriter, r *http.Request) {
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writeJSON(w, ingestResponse{Pages: allPages, Warnings: allWarnings})
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}
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type ingestRawRequest struct {
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Source string `json:"source"`
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Pages []pipeline.RawPage `json:"pages"`
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DryRun bool `json:"dry_run"`
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}
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// IngestRaw handles POST /ingest-raw — run the pipeline on pre-parsed RawPages,
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// skipping the LLM extraction step. Use when the caller has already produced
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// structured page data (e.g. from a more capable model or manual curation).
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func (h *Handler) IngestRaw(w http.ResponseWriter, r *http.Request) {
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var req ingestRawRequest
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if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
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writeError(w, http.StatusBadRequest, "invalid JSON")
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return
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}
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if strings.TrimSpace(req.Source) == "" {
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writeError(w, http.StatusBadRequest, "source is required")
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return
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}
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if len(req.Pages) == 0 {
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writeError(w, http.StatusBadRequest, "pages is required and must be non-empty")
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return
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}
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result, err := pipeline.RunRaw(h.brainDir, req.Source, req.Pages, req.DryRun)
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if err != nil {
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h.logger.Error("ingest-raw failed", "source", req.Source, "err", err)
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writeError(w, http.StatusInternalServerError, "ingest error")
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return
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}
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pages := result.Pages
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if pages == nil {
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pages = []string{}
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}
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warnings := result.Warnings
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if warnings == nil {
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warnings = []string{}
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}
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writeJSON(w, ingestResponse{Pages: pages, Warnings: warnings})
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}
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// BackfillRefs handles POST /backfill-refs — injects source back-references
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// into all concept and entity pages based on existing wiki/sources/ pages.
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func (h *Handler) BackfillRefs(w http.ResponseWriter, r *http.Request) {
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@@ -226,6 +226,85 @@ func TestIngestPath_File(t *testing.T) {
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assert.NotEmpty(t, pagesSlice)
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}
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// ---------------------------------------------------------------------------
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// POST /ingest-raw
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// ---------------------------------------------------------------------------
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func TestIngestRaw_Validation(t *testing.T) {
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cases := []struct {
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name string
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body map[string]any
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}{
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{"missing source", map[string]any{"pages": []any{map[string]any{"title": "X", "type": "concept", "content": "x"}}}},
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{"missing pages", map[string]any{"source": "test-source"}},
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{"empty pages", map[string]any{"source": "test-source", "pages": []any{}}},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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_, h := setup(t)
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body, _ := json.Marshal(tc.body)
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req := httptest.NewRequest(http.MethodPost, "/ingest-raw", bytes.NewReader(body))
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rec := httptest.NewRecorder()
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h.IngestRaw(rec, req)
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assert.Equal(t, http.StatusBadRequest, rec.Code)
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})
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}
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}
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func TestIngestRaw_Success(t *testing.T) {
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dir, h := setup(t)
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body, _ := json.Marshal(map[string]any{
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"source": "test-article",
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"pages": []any{
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map[string]any{"title": "Test Article", "type": "source", "subtype": "article", "domain": "Testing", "content": "## Summary\n\nThis is a test article about [[Test Concept]].\n"},
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map[string]any{"title": "Test Concept", "type": "concept", "domain": "Testing", "content": "A concept for testing.\n"},
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},
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})
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req := httptest.NewRequest(http.MethodPost, "/ingest-raw", bytes.NewReader(body))
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rec := httptest.NewRecorder()
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h.IngestRaw(rec, req)
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require.Equal(t, http.StatusOK, rec.Code)
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var resp map[string]any
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require.NoError(t, json.Unmarshal(rec.Body.Bytes(), &resp))
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pages := resp["pages"].([]any)
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assert.Len(t, pages, 2)
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// Verify files were written
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sourcePath := filepath.Join(dir, "wiki", "sources", "test-article.md")
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assert.FileExists(t, sourcePath)
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conceptPath := filepath.Join(dir, "wiki", "concepts", "test-concept.md")
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assert.FileExists(t, conceptPath)
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}
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func TestIngestRaw_DryRun(t *testing.T) {
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dir, h := setup(t)
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body, _ := json.Marshal(map[string]any{
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"source": "dry-run-test",
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"pages": []any{
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map[string]any{"title": "Dry Run Source", "type": "source", "subtype": "article", "content": "Content."},
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},
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"dry_run": true,
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})
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req := httptest.NewRequest(http.MethodPost, "/ingest-raw", bytes.NewReader(body))
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rec := httptest.NewRecorder()
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h.IngestRaw(rec, req)
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require.Equal(t, http.StatusOK, rec.Code)
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var resp map[string]any
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require.NoError(t, json.Unmarshal(rec.Body.Bytes(), &resp))
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pages := resp["pages"].([]any)
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assert.NotEmpty(t, pages)
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// Verify no files were written
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sourcePath := filepath.Join(dir, "wiki", "sources", "dry-run-test.md")
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assert.NoFileExists(t, sourcePath)
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}
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func TestIngestPath_Directory(t *testing.T) {
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_, h := setup(t)
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@@ -59,11 +59,31 @@ func Run(ctx context.Context, cfg Config, brainDir, content, source string, dryR
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allWarnings = append(allWarnings, warnings...)
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}
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pages, buildWarnings := BuildPages(allRaw, sourceSlug, date)
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allWarnings = append(allWarnings, buildWarnings...)
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return buildAndWrite(allRaw, sourceSlug, date, brainDir, source, inventory, allWarnings, dryRun)
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}
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// RunRaw runs the pipeline on pre-parsed RawPages, skipping the LLM extraction
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// step. Use this when the caller has already produced the structured RawPage data
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// (e.g. from a more capable model or manual curation).
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func RunRaw(brainDir, source string, rawPages []RawPage, dryRun bool) (Result, error) {
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inventory, err := wiki.LoadInventory(brainDir)
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if err != nil {
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return Result{}, fmt.Errorf("load inventory: %w", err)
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}
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sourceSlug := wiki.Slug(source)
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date := time.Now().UTC().Format("2006-01-02")
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return buildAndWrite(rawPages, sourceSlug, date, brainDir, source, inventory, nil, dryRun)
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}
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// buildAndWrite runs BuildPages through write for both Run and RunRaw.
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func buildAndWrite(rawPages []RawPage, sourceSlug, date, brainDir, source string, inventory map[wiki.PageType][]wiki.Entry, warnings []string, dryRun bool) (Result, error) {
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pages, buildWarnings := BuildPages(rawPages, sourceSlug, date)
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warnings = append(warnings, buildWarnings...)
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resolved := Resolve(pages, inventory)
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canonicalized, linkWarnings := CanonicalizeLinks(resolved, inventory)
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allWarnings = append(allWarnings, linkWarnings...)
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warnings = append(warnings, linkWarnings...)
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withRefs := injectSourceRefs(canonicalized, inventory, brainDir)
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merged := mergeAll(withRefs)
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@@ -83,14 +103,14 @@ func Run(ctx context.Context, cfg Config, brainDir, content, source string, dryR
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if !dryRun {
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if err := wiki.RebuildIndex(brainDir, date); err != nil {
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allWarnings = append(allWarnings, fmt.Sprintf("rebuild index: %v", err))
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warnings = append(warnings, fmt.Sprintf("rebuild index: %v", err))
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}
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if err := wiki.AppendLog(brainDir, source, written, allWarnings, date); err != nil {
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allWarnings = append(allWarnings, fmt.Sprintf("append log: %v", err))
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if err := wiki.AppendLog(brainDir, source, written, warnings, date); err != nil {
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warnings = append(warnings, fmt.Sprintf("append log: %v", err))
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}
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}
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return Result{Pages: written, Warnings: allWarnings}, nil
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return Result{Pages: written, Warnings: warnings}, nil
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}
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// mergeAll deduplicates pages by path, merging content from later occurrences.
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@@ -17,6 +17,8 @@ func (s *Skill) Handle(ctx context.Context, tool string, args json.RawMessage) (
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return s.query(ctx, args)
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case "brain_write":
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return s.write(ctx, args)
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case "brain_ingest_raw":
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return s.ingestRaw(ctx, args)
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case "brain_ingest":
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return s.ingest(ctx, args)
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case "brain_search":
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@@ -98,6 +100,33 @@ func (s *Skill) ingest(ctx context.Context, args json.RawMessage) (json.RawMessa
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return nil, fmt.Errorf("either content+source or path is required")
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}
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type ingestRawArgs struct {
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Source string `json:"source"`
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Pages []any `json:"pages"`
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DryRun bool `json:"dry_run,omitempty"`
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}
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func (s *Skill) ingestRaw(ctx context.Context, args json.RawMessage) (json.RawMessage, error) {
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var a ingestRawArgs
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if err := json.Unmarshal(args, &a); err != nil {
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return nil, fmt.Errorf("parse args: %w", err)
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}
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if s.cfg.IngestSvcURL == "" {
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return nil, fmt.Errorf("brain_ingest_raw: INGEST_SVC_URL not configured")
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}
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if a.Source == "" {
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return nil, fmt.Errorf("source is required")
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}
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if len(a.Pages) == 0 {
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return nil, fmt.Errorf("pages is required and must be non-empty")
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}
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return s.postTo(ctx, s.cfg.IngestSvcURL+"/ingest-raw", map[string]any{
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"source": a.Source,
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"pages": a.Pages,
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"dry_run": a.DryRun,
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})
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}
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type searchArgs struct {
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Query string `json:"query"`
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Collection string `json:"collection,omitempty"`
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@@ -55,6 +55,32 @@ func (s *Skill) Tools() []registry.ToolDef {
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},
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}
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if s.cfg.IngestSvcURL != "" {
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tools = append(tools, registry.ToolDef{
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Name: "brain_ingest_raw",
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Description: "Ingest pre-structured pages into the brain wiki, bypassing the LLM extraction step. " +
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"Use when you (the calling agent) have already extracted entities, concepts, and content from a source. " +
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"Provide source (human-readable name) and pages (array of {title, type, subtype, domain, content} objects). " +
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"The pipeline computes slugs, paths, frontmatter, wikilink canonicalization, and source back-references. " +
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"Returns the list of wiki pages written.",
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InputSchema: schema([]string{"source", "pages"}, map[string]any{
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"source": map[string]any{"type": "string", "description": "human-readable name for the source, e.g. 'shape-up-book'"},
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"pages": map[string]any{
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"type": "array",
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"items": map[string]any{
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"type": "object",
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"required": []string{"title", "type", "content"},
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"properties": map[string]any{
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"title": map[string]any{"type": "string", "description": "page title, e.g. 'Hash Encoding'"},
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"type": map[string]any{"type": "string", "enum": []string{"source", "concept", "entity"}, "description": "page type"},
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"subtype": map[string]any{"type": "string", "description": "entity: person|company|tool|model|framework|technology; source: article|pdf|book|video|note|project"},
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"domain": map[string]any{"type": "string", "description": "knowledge domain, e.g. 'Machine Learning'"},
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"content": map[string]any{"type": "string", "description": "markdown body — no frontmatter, use [[Display Name]] for wikilinks"},
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},
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},
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},
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"dry_run": map[string]any{"type": "boolean"},
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}),
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})
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tools = append(tools, registry.ToolDef{
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Name: "brain_ingest",
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Description: "Ingest content into the brain wiki (brain/wiki/). Calls an LLM to produce structured wiki pages. " +
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