mirror of
https://github.com/infiniflow/ragflow.git
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## Summary Extract the pipeline-output → search-engine index document mapping helpers out of the `task` package into a dedicated, dependency-light leaf package `internal/ingestion/task/indexdoc`. These functions are pure transforms (they only depend on `common`/`utility`) and are not task-orchestration concerns: - `NormalizeChunks`, `DeepCopyChunks` (was unexported `deepCopyChunks`), `toChunkMaps` → `indexdoc/normalize.go` - `ProcessChunksForPipeline`, `RenameTextToContentWithWeight`, `GetEmbeddingTokenConsumption`, `cleanupConsumedChunkFields`, `mergeChunkMetadata`, `processChunkPositions`, `AggregateTableDocMetadata`, `resolveTableColumnConfig` → `indexdoc/process.go` - `AddPositions` → `indexdoc/position.go` - `EmbeddingTokenConsumptionKey` constant → `indexdoc/constants.go` (task/constants.go keeps only `GRAPH_RAPTOR_FAKE_DOC_ID`) Call sites in `pipeline_executor.go` and `golden_compare.go` now reference the `indexdoc` package; package-task tests qualify the moved symbols. ## Why The `task` package had grown into a "orchestration + pure mapping + debug" mix. Splitting the pure mapping helpers into a leaf package sharpens package boundaries, removes a misleading top-level `ingestion/chunk` candidate (there are already `parser/chunk` and `service/chunk`), and lets the golden tool / future reuse pull in the mapping logic without dragging in `task`'s `dao`/`engine`/`service` dependency graph (Go subpackage import does not pull in the parent). ## Test plan - `build.sh --test ./internal/ingestion/task/...` — **green** (task 4.7s, indexdoc 0.007s), matching the pre-change baseline. - `gofmt` clean; `build.sh` builds both `ragflow-cli` and `ragflow_server` successfully. - Integration/E2E tiers are delegated to CI (need real MySQL/MinIO/ES services). Note: `pipeline_e2e_test.go` has a **pre-existing** compile error (`server.ElasticsearchConfig` / `server.InfinityConfig` are now defined under `internal/server/config/`, not re-exported by `internal/server`). This is unrelated to this change — the diff to that file is only the added `indexdoc` import and the qualified `EmbeddingTokenConsumptionKey` reference.
350 lines
13 KiB
Go
350 lines
13 KiB
Go
package indexdoc
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import (
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"testing"
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"time"
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)
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// =============================================================================
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// RenameTextToContentWithWeight - Python processChunks logic
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// =============================================================================
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func TestRenameTextToContentWithWeight_Basic(t *testing.T) {
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chunk := map[string]any{"text": "hello world"}
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RenameTextToContentWithWeight(chunk)
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if _, exists := chunk["text"]; exists {
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t.Error("text key should be removed")
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}
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if chunk["content_with_weight"] != "hello world" {
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t.Errorf("content_with_weight = %q, want \"hello world\"", chunk["content_with_weight"])
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}
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}
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func TestRenameTextToContentWithWeight_PreservesExisting(t *testing.T) {
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chunk := map[string]any{"content_with_weight": "already set", "text": "hello"}
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RenameTextToContentWithWeight(chunk)
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if chunk["content_with_weight"] != "already set" {
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t.Errorf("preserved value should not be overwritten")
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}
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if _, exists := chunk["text"]; exists {
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t.Error("text should still be removed")
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}
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}
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func TestRenameTextToContentWithWeight_NoTextKey(t *testing.T) {
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chunk := map[string]any{"other": "value"}
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RenameTextToContentWithWeight(chunk)
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if _, exists := chunk["content_with_weight"]; exists {
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t.Error("should not add content_with_weight when no text key")
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}
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}
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// =============================================================================
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// ProcessChunksForPipeline - Python: processChunks()
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// =============================================================================
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func TestProcessChunksForPipeline_SetsDocIDAndKBID(t *testing.T) {
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chunks := []map[string]any{{"text": "hello world"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if chunks[0]["doc_id"] != "doc-1" {
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t.Errorf("doc_id = %q, want \"doc-1\"", chunks[0]["doc_id"])
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}
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if kbIDs, ok := chunks[0]["kb_id"].([]string); ok {
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if len(kbIDs) != 1 || kbIDs[0] != "kb-1" {
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t.Errorf("kb_id = %v, want [\"kb-1\"]", chunks[0]["kb_id"])
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}
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} else {
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t.Errorf("kb_id should be []string, got %T", chunks[0]["kb_id"])
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}
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}
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func TestProcessChunksForPipeline_SetsDocNameKwd(t *testing.T) {
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chunks := []map[string]any{{"text": "hello"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if chunks[0]["docnm_kwd"] != "test-doc.pdf" {
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t.Errorf("docnm_kwd = %q, want \"test-doc.pdf\"", chunks[0]["docnm_kwd"])
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}
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}
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func TestProcessChunksForPipeline_SetsTimeFields(t *testing.T) {
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now := time.Now()
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chunks := []map[string]any{{"text": "hello"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", now)
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if timeStr, ok := chunks[0]["create_time"].(string); ok {
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if timeStr != now.Format("2006-01-02 15:04:05") {
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t.Errorf("create_time = %q, want %q", timeStr, now.Format("2006-01-02 15:04:05"))
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}
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} else {
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t.Errorf("create_time should be string, got %T", chunks[0]["create_time"])
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}
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if ts, ok := chunks[0]["create_timestamp_flt"].(float64); ok {
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expected := float64(now.UnixMicro()) / 1e6
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if ts != expected {
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t.Errorf("create_timestamp_flt = %f, want %f", ts, expected)
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}
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} else {
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t.Errorf("create_timestamp_flt should be float64, got %T", chunks[0]["create_timestamp_flt"])
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}
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}
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func TestProcessChunksForPipeline_GeneratesID(t *testing.T) {
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chunks := []map[string]any{{"text": "hello"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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id, ok := chunks[0]["id"].(string)
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if !ok || id == "" {
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t.Errorf("id should be non-empty string, got %v", chunks[0]["id"])
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}
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}
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// TestProcessChunksForPipeline_GeneratesIDOnNonStringText pins the id fallback:
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// when ck["id"] is absent and ck["text"] is a non-string (e.g. from a
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// malformed input), the type assertion silently yields "" and
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// component.ChunkID computes a valid id from empty text, rather than erroring.
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func TestProcessChunksForPipeline_GeneratesIDOnNonStringText(t *testing.T) {
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chunks := []map[string]any{{"text": []any{"bad-shape"}}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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id, ok := chunks[0]["id"].(string)
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if !ok || id == "" {
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t.Errorf("id should be generated even for non-string text, got %v", chunks[0]["id"])
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}
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}
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// TestProcessChunksForPipeline_RemovesInternalPipelineFields pins that
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// processChunkPositions prunes the _pdf_positions internal field (the
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// parser-emitted position matrix) before indexing. The "image" field is
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// no longer dropped here — its lifecycle is owned by the chunker's
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// imageUploadDecorator (register.go + image_upload.go), which uploads and
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// deletes it at the chunker stage.
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func TestProcessChunksForPipeline_RemovesInternalPipelineFields(t *testing.T) {
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chunks := []map[string]any{{
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"text": "hello",
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"_pdf_positions": []any{[]any{0, 1, 2, 3, 4}},
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}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if _, exists := chunks[0]["_pdf_positions"]; exists {
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t.Fatalf("_pdf_positions should be removed before indexing: %v", chunks[0]["_pdf_positions"])
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}
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}
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func TestProcessChunksForPipeline_PreservesExistingID(t *testing.T) {
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chunks := []map[string]any{{"text": "hello", "id": "existing-id"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if chunks[0]["id"] != "existing-id" {
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t.Errorf("existing id should be preserved, got %q", chunks[0]["id"])
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}
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}
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func TestProcessChunksForPipeline_QuestionsProcessing(t *testing.T) {
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chunks := []map[string]any{{"text": "hello", "questions": "Q1\nQ2\nQ3"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if _, exists := chunks[0]["questions"]; exists {
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t.Error("questions key should be removed")
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}
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kwd, ok := chunks[0]["question_kwd"].([]string)
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if !ok {
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t.Fatalf("question_kwd should be []string, got %T", chunks[0]["question_kwd"])
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}
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if len(kwd) != 3 {
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t.Errorf("question_kwd len = %d, want 3", len(kwd))
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}
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if _, ok := chunks[0]["question_tks"]; ok {
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t.Errorf("question_tks must NOT be produced by executor (owned by Tokenizer), got %T", chunks[0]["question_tks"])
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}
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}
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func TestProcessChunksForPipeline_KeywordsProcessing(t *testing.T) {
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chunks := []map[string]any{{"text": "hello", "keywords": "kw1,kw2;kw3"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if _, exists := chunks[0]["keywords"]; exists {
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t.Error("keywords key should be removed")
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}
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kwd, ok := chunks[0]["important_kwd"].([]string)
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if !ok || len(kwd) == 0 {
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t.Errorf("important_kwd should be non-empty []string, got %v", chunks[0]["important_kwd"])
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}
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if _, ok := chunks[0]["important_tks"]; ok {
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t.Errorf("important_tks must NOT be produced by executor (owned by Tokenizer), got %T", chunks[0]["important_tks"])
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}
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}
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func TestProcessChunksForPipeline_SummaryProcessing(t *testing.T) {
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chunks := []map[string]any{{"text": "hello", "summary": "This is a summary."}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if _, exists := chunks[0]["summary"]; exists {
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t.Error("summary key should be removed")
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}
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if _, ok := chunks[0]["content_ltks"]; ok {
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t.Errorf("content_ltks must NOT be produced by executor (owned by Tokenizer), got %T", chunks[0]["content_ltks"])
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}
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if _, ok := chunks[0]["content_sm_ltks"]; ok {
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t.Errorf("content_sm_ltks must NOT be produced by executor (owned by Tokenizer), got %T", chunks[0]["content_sm_ltks"])
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}
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}
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// TestProcessChunksForPipeline_PreservesTokenizerProducedFields documents the
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// Tokenizer-terminated contract: when the upstream Tokenizer already produced
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// the _tks/_ltks/_kwd fields, the executor preserves them untouched and only
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// strips the consumed source fields. The executor never re-tokenizes or
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// overwrites Tokenizer output.
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func TestProcessChunksForPipeline_PreservesTokenizerProducedFields(t *testing.T) {
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chunks := []map[string]any{{
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"text": "hello",
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"questions": "Q1\nQ2",
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"question_tks": "tokenizer-output-tks",
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"question_kwd": []string{"preset-q-kwd"},
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"keywords": "kw1,kw2",
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"important_tks": "tokenizer-output-itks",
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"important_kwd": []string{"preset-i-kwd"},
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"summary": "a summary",
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"content_ltks": "tokenizer-output-ltks",
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"content_sm_ltks": "tokenizer-output-smltks",
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}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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// Consumed source fields are stripped.
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for _, k := range []string{"questions", "keywords", "summary"} {
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if _, exists := chunks[0][k]; exists {
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t.Errorf("%s should be removed (consumed by Tokenizer)", k)
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}
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}
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// Tokenizer-produced fields are preserved verbatim (not overwritten).
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if chunks[0]["question_tks"] != "tokenizer-output-tks" {
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t.Errorf("question_tks overwritten: %v", chunks[0]["question_tks"])
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}
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if chunks[0]["important_tks"] != "tokenizer-output-itks" {
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t.Errorf("important_tks overwritten: %v", chunks[0]["important_tks"])
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}
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if chunks[0]["content_ltks"] != "tokenizer-output-ltks" {
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t.Errorf("content_ltks overwritten: %v", chunks[0]["content_ltks"])
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}
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if chunks[0]["content_sm_ltks"] != "tokenizer-output-smltks" {
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t.Errorf("content_sm_ltks overwritten: %v", chunks[0]["content_sm_ltks"])
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}
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// Preset _kwd arrays are preserved (executor does not overwrite).
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if kwd, ok := chunks[0]["question_kwd"].([]string); !ok || len(kwd) != 1 || kwd[0] != "preset-q-kwd" {
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t.Errorf("question_kwd preset not preserved: %v", chunks[0]["question_kwd"])
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}
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if kwd, ok := chunks[0]["important_kwd"].([]string); !ok || len(kwd) != 1 || kwd[0] != "preset-i-kwd" {
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t.Errorf("important_kwd preset not preserved: %v", chunks[0]["important_kwd"])
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}
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}
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func TestProcessChunksForPipeline_TextRenamed(t *testing.T) {
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chunks := []map[string]any{{"text": "hello world"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if _, exists := chunks[0]["text"]; exists {
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t.Error("text key should be removed")
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}
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if chunks[0]["content_with_weight"] != "hello world" {
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t.Errorf("content_with_weight = %q, want \"hello world\"", chunks[0]["content_with_weight"])
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}
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}
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func TestProcessChunksForPipeline_PreservesContentWithWeight(t *testing.T) {
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chunks := []map[string]any{{"content_with_weight": "already set", "text": "hello"}}
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_, err := ProcessChunksForPipeline(chunks, "doc-1", "kb-1", "test-doc.pdf", time.Now())
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if err != nil {
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t.Fatalf("ProcessChunksForPipeline: %v", err)
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}
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if chunks[0]["content_with_weight"] != "already set" {
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t.Errorf("content_with_weight = %q, want \"already set\"", chunks[0]["content_with_weight"])
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}
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}
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func TestProcessChunkPositions_FlatFloat64(t *testing.T) {
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chunk := map[string]any{
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// positions is 1-indexed (parser normalized before we see it)
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"positions": []float64{1, 100, 50, 200, 150},
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}
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processChunkPositions(chunk)
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if _, exists := chunk["positions"]; exists {
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t.Fatal("positions key must be removed")
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}
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pageNum := chunk["page_num_int"].([]int)
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if len(pageNum) != 1 || pageNum[0] != 1 {
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t.Errorf("page_num_int = %v, want [1]", pageNum)
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}
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}
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func TestProcessChunkPositions_2DFloat64(t *testing.T) {
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chunk := map[string]any{
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"positions": [][]float64{
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{1, 100, 50, 200, 150},
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{2, 200, 60, 300, 250},
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},
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}
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processChunkPositions(chunk)
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if _, exists := chunk["positions"]; exists {
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t.Fatal("positions key must be removed")
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}
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pageNum := chunk["page_num_int"].([]int)
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if len(pageNum) != 2 || pageNum[0] != 1 || pageNum[1] != 2 {
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t.Errorf("page_num_int = %v, want [1 2]", pageNum)
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}
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top := chunk["top_int"].([]int)
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if len(top) != 2 || top[0] != 200 || top[1] != 300 {
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t.Errorf("top_int = %v, want [200 300]", top)
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}
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}
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func TestProcessChunkPositions_NoPositions(t *testing.T) {
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// _pdf_positions is pruned unconditionally, even on the early-return path
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// where "positions" is absent, since the two fields are independent.
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chunk := map[string]any{
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"text": "hello",
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"_pdf_positions": []any{[]any{0, 1, 2, 3, 4}},
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}
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processChunkPositions(chunk)
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if _, exists := chunk["page_num_int"]; exists {
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t.Error("page_num_int must not be set when positions is missing")
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}
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if _, exists := chunk["_pdf_positions"]; exists {
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t.Error("_pdf_positions must be pruned even when positions is missing")
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}
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}
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