mirror of
https://github.com/infiniflow/ragflow.git
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98323e7910
### What problem does this PR solve? Package refactor and PDF post process. ### Type of change - [x] Refactoring --------- Co-authored-by: Claude <noreply@anthropic.com>
472 lines
16 KiB
Go
472 lines
16 KiB
Go
package parser
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import (
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"context"
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"fmt"
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"image"
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inf "ragflow/internal/deepdoc/parser/pdf/inference"
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lyt "ragflow/internal/deepdoc/parser/pdf/layout"
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tbl "ragflow/internal/deepdoc/parser/pdf/table"
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pdf "ragflow/internal/deepdoc/parser/pdf/type"
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"strings"
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"testing"
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)
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// ── MockDocAnalyzer tests ──────────────────────────────────────────────
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func TestMockDocAnalyzer(t *testing.T) {
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 0, Y0: 0, X1: 100, Y1: 100, Label: "table", Confidence: 0.95},
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},
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TSRCells: []pdf.TSRCell{
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{X0: 0, Y0: 0, X1: 50, Y1: 30, Text: "A"},
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},
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}
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if !mock.Health() {
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t.Error("mock should be healthy")
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}
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regions, _ := mock.DLA(context.Background(), nil)
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if len(regions) != 1 || regions[0].Label != "table" {
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t.Error("mock DLA returned wrong data")
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}
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cells, _ := mock.TSR(context.Background(), nil)
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if len(cells) != 1 || cells[0].Text != "A" {
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t.Error("mock TSR returned wrong data")
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}
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// OCRDetect + OCRRecognize replaces deprecated OCR — tested in TestOCR_scanPage/TestOCR_fallback.
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_ = mock.OCRDetect
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_ = mock.OCRRecognize
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// Unhealthy mock
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mock2 := &MockDocAnalyzer{Healthy: false}
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if mock2.Health() {
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t.Error("unhealthy mock should return false")
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}
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}
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// ── enrichWithDeepDoc noop ─────────────────────────────────────────────
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func TestEnrichWithDeepDoc_Noop(t *testing.T) {
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 50, X1: 550, Top: 100, Bottom: 112, Text: "text"},
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}
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eng := &mockEngine{pageCount: 1}
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p := NewParser(pdf.DefaultParserConfig(), &MockDocAnalyzer{Healthy: false})
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tables := p.enrichWithDeepDoc(context.Background(), nil, eng, boxes, nil)
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if len(tables) != 0 {
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t.Error("unhealthy DeepDoc → 0 Tables")
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}
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}
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// ── extractTableBoxesFromImage with mock ───────────────────────────────
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func TestExtractTableBoxes_Mock(t *testing.T) {
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 80, X1: 500, Top: 200, Bottom: 550, Text: "cell 1"},
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{PageNumber: 0, X0: 80, X1: 500, Top: 550, Bottom: 760, Text: "cell 2"},
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{PageNumber: 0, X0: 50, X1: 550, Top: 100, Bottom: 180, Text: "heading"},
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{PageNumber: 0, X0: 50, X1: 550, Top: 780, Bottom: 850, Text: "below"},
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}
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 250, Y0: 600, X1: 1500, Y1: 2300, Label: "table", Confidence: 0.95},
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},
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TSRCells: []pdf.TSRCell{
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{X0: 0, Y0: 0, X1: 600, Y1: 400, Text: "A1"},
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{X0: 600, Y0: 0, X1: 1240, Y1: 400, Text: "B1"},
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{X0: 0, Y0: 410, X1: 600, Y1: 800, Text: "A2"},
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{X0: 600, Y0: 410, X1: 1240, Y1: 800, Text: "B2"},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummyImg := image.NewRGBA(image.Rect(0, 0, 2000, 3000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, boxes, dummyImg, 0, 0)
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if len(tables) != 1 {
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t.Fatalf("expected 1 pdf.TableItem, got %d", len(tables))
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}
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tbl := tables[0]
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if len(tbl.Cells) != 4 {
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t.Errorf("expected 4 cells, got %d", len(tbl.Cells))
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}
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// Rows populated later by constructTable via extractTableAndReplace.
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if tbl.ImageB64 == "" {
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t.Error("ImageB64 empty")
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}
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if len(tbl.Positions) != 2 {
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t.Errorf("expected 2 Positions, got %d", len(tbl.Positions))
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}
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}
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func TestExtractTableBoxes_NoTables(t *testing.T) {
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mock := &MockDocAnalyzer{Healthy: true, DLARegions: []pdf.DLARegion{}}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummy := image.NewRGBA(image.Rect(0, 0, 1000, 1000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, nil, dummy, 0, 0)
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if len(tables) != 0 {
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t.Errorf("0 tables expected, got %d", len(tables))
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}
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}
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func TestExtractTableBoxes_NonTableRegions(t *testing.T) {
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 150, Y0: 300, X1: 1650, Y1: 336, Label: "text", Confidence: 0.9},
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{X0: 150, Y0: 600, X1: 1650, Y1: 900, Label: "figure", Confidence: 0.8},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummy := image.NewRGBA(image.Rect(0, 0, 2000, 2000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, nil, dummy, 0, 0)
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if len(tables) != 0 {
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t.Errorf("non-table regions → 0 tables, got %d", len(tables))
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}
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}
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func TestExtractTableBoxes_NoOverlap(t *testing.T) {
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 50, X1: 550, Top: 10, Bottom: 30, Text: "far away"},
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}
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 150, Y0: 1500, X1: 1500, Y1: 2300, Label: "table", Confidence: 0.95},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummy := image.NewRGBA(image.Rect(0, 0, 2000, 3000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, boxes, dummy, 0, 0)
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if len(tables) != 0 {
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t.Errorf("no overlap → 0 tables, got %d", len(tables))
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}
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}
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func TestExtractTableBoxes_TSRError(t *testing.T) {
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 80, X1: 500, Top: 210, Bottom: 660, Text: "cell"},
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}
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 250, Y0: 600, X1: 1500, Y1: 2000, Label: "table", Confidence: 0.95},
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},
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TSRCells: nil, // TSR returns nothing
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummy := image.NewRGBA(image.Rect(0, 0, 2000, 3000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, boxes, dummy, 0, 0)
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if len(tables) != 1 {
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t.Fatalf("TSR failure: expected 1 pdf.TableItem with image+positions, got %d", len(tables))
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}
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if tables[0].ImageB64 == "" {
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t.Error("should have image despite TSR failure")
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}
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if len(tables[0].Positions) == 0 {
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t.Error("should have positions despite TSR failure")
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}
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if len(tables[0].Rows) != 0 {
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t.Errorf("TSR failure → 0 rows, got %d", len(tables[0].Rows))
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}
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}
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func TestExtractTableBoxes_DLAError(t *testing.T) {
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// DLA returns only non-table regions → 0 tables
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mock := &MockDocAnalyzer{Healthy: true, DLARegions: []pdf.DLARegion{
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{X0: 0, Y0: 0, X1: 100, Y1: 100, Label: "text", Confidence: 0.9},
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}}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummy := image.NewRGBA(image.Rect(0, 0, 1000, 1000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, nil, dummy, 0, 0)
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if len(tables) != 0 {
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t.Errorf("non-table DLA → 0 tables, got %d", len(tables))
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}
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}
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func TestParse_TableLinkedToSections(t *testing.T) {
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// Simulate enrichWithDeepDoc → extractTableAndReplace → boxesToSections:
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// table boxes are popped and replaced with one HTML box.
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 50, X1: 200, Top: 50, Bottom: 80, Text: "heading"},
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{PageNumber: 0, X0: 50, X1: 500, Top: 250, Bottom: 400, Text: "table text", LayoutType: "table"},
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{PageNumber: 0, X0: 50, X1: 200, Top: 450, Bottom: 480, Text: "after"},
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}
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tableItem := pdf.TableItem{
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Cells: []pdf.TSRCell{
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{X0: 0, Y0: 0, X1: 200, Y1: 50, Label: "table row"},
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{X0: 0, Y0: 51, X1: 200, Y1: 100, Label: "table row"},
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},
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Positions: []pdf.Position{{PageNumbers: []int{0}, Left: 50, Right: 500, Top: 250, Bottom: 400}},
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Scale: 1.0,
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}
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boxes = tbl.ExtractTableAndReplace(boxes, []pdf.TableItem{tableItem})
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sections := lyt.BoxesToSections(boxes, nil)
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// 3 boxes (heading, table, after) → 3 sections (heading, HTML, after).
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if len(sections) != 3 {
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t.Errorf("expected 3 sections, got %d", len(sections))
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}
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tableFound := false
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for _, s := range sections {
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if s.LayoutType == "table" && strings.Contains(s.Text, "<table>") {
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tableFound = true
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}
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}
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if !tableFound {
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t.Errorf("expected at least one section with HTML table")
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for _, s := range sections {
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t.Logf(" section text=%q LayoutType=%q", s.Text[:min(40, len(s.Text))], s.LayoutType)
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}
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}
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}
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// ── cropImageRegion ────────────────────────────────────────────────────
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// ── extractTableBoxesFromImage: invalid DLA region ─────────────────────
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func TestExtractTableBoxes_InvalidRegion(t *testing.T) {
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// DLA returns a table region with x1 < x0. The pipeline should skip
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// this table gracefully (Python raises ValueError from PIL.Image.crop).
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 500, Y0: 100, X1: 100, Y1: 300, Label: "table", Confidence: 0.9},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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dummy := image.NewRGBA(image.Rect(0, 0, 1000, 1000))
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tables := p.extractTableBoxesFromImage(context.Background(), nil, nil, dummy, 0, 0)
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if len(tables) != 0 {
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t.Errorf("invalid DLA region should be skipped, got %d tables", len(tables))
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}
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}
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// ── DLA → figure end-to-end ───────────────────────────────────────────
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func TestParse_CollectsFigures(t *testing.T) {
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// End-to-end: Parse() with mock DeepDoc that labels a box as "figure".
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// Verify p.Figures is populated.
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eng := &mockEngine{pageCount: 1, chars: map[int][]pdf.TextChar{0: {{X0: 50, X1: 550, Top: 100, Bottom: 112, Text: "chart image"}}}}
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mock := &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 50, Y0: 200, X1: 2000, Y1: 1000, Label: "figure", Confidence: 0.85},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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result, err := p.Parse(context.Background(), eng)
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if err != nil {
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t.Fatalf("Parse: %v", err)
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}
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if len(result.Sections) == 0 {
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t.Fatal("expected at least 1 section")
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}
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if len(result.Figures()) != 1 {
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t.Fatalf("expected 1 figure, got %d", len(result.Figures()))
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}
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if result.Figures()[0].LayoutType != "figure" {
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t.Errorf("figure LayoutType = %q, want 'figure'", result.Figures()[0].LayoutType)
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}
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if result.Figures()[0].Text == "" {
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t.Error("figure Text should not be empty")
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}
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}
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func TestParse_NoFigures(t *testing.T) {
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// Parse() with no DLA figure regions → p.Figures should be empty.
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eng := &mockEngine{pageCount: 1, chars: map[int][]pdf.TextChar{0: {{X0: 50, X1: 550, Top: 100, Bottom: 112, Text: "just text"}}}}
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mock := &MockDocAnalyzer{
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DLARegions: []pdf.DLARegion{
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{X0: 150, Y0: 300, X1: 1500, Y1: 600, Label: "text", Confidence: 0.8},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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result, err := p.Parse(context.Background(), eng)
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if err != nil {
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t.Fatalf("Parse: %v", err)
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}
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if len(result.Figures()) != 0 {
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t.Fatalf("expected 0 figures, got %d", len(result.Figures()))
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}
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}
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func TestParse_NoDeepDoc_NoFigures(t *testing.T) {
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// Parse() with mock DeepDoc → Figures should be empty (no DLA-detected figures).
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eng := &mockEngine{pageCount: 1, chars: map[int][]pdf.TextChar{0: {{X0: 50, X1: 550, Top: 100, Bottom: 112, Text: "text"}}}}
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p := NewParser(pdf.DefaultParserConfig(), &MockDocAnalyzer{Healthy: true})
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result, err := p.Parse(context.Background(), eng)
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if err != nil {
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t.Fatalf("Parse: %v", err)
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}
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if len(result.Figures()) != 0 {
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t.Fatalf("expected 0 Figures (no DLA-detected figures), got %d", len(result.Figures()))
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}
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}
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// ── Parse + ocrMergeChars (full-page detect) ──────────────────────────
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func TestParse_UsesOCRDetectForEmbeddedChars(t *testing.T) {
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// When DeepDoc is available and the page has embedded chars,
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// Parse should use ocrMergeChars (detect → merge → recognize).
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eng := &mockEngine{
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pageCount: 1,
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chars: map[int][]pdf.TextChar{0: {
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{X0: 10, X1: 30, Top: 10, Bottom: 30, Text: "Hello", PageNumber: 0},
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}},
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}
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mock := &MockDocAnalyzer{
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Healthy: true,
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OCRBoxes: []pdf.OCRBox{
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{X0: 5, Y0: 5, X1: 50, Y1: 5, X2: 50, Y2: 50, X3: 5, Y3: 50},
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},
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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result, err := p.Parse(context.Background(), eng)
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if err != nil {
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t.Fatalf("Parse: %v", err)
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}
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if len(result.Sections) == 0 {
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t.Fatal("expected at least 1 section")
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}
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// The box should come from OCR detect, not charsToBoxes.
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// Verifying that ocrMergeChars was used (sections exist).
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if result.Metrics.BoxesInitial == 0 {
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t.Error("expected BoxesInitial > 0 (OCR detect path)")
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}
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}
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func TestParse_FallsBackToCharsToBoxes_NoDeepDoc(t *testing.T) {
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// Without DeepDoc, Parse should use charsToBoxes (unchanged behavior).
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eng := &mockEngine{
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pageCount: 1,
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chars: map[int][]pdf.TextChar{0: {
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{X0: 10, X1: 30, Top: 10, Bottom: 30, Text: "Hello", PageNumber: 0},
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}},
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}
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p := NewParser(pdf.DefaultParserConfig(), &MockDocAnalyzer{Healthy: true})
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result, err := p.Parse(context.Background(), eng)
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if err != nil {
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t.Fatalf("Parse: %v", err)
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}
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if len(result.Sections) == 0 {
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t.Fatal("expected at least 1 section (charsToBoxes)")
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}
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}
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func TestParse_FallsBackToCharsToBoxes_EmptyOCRBoxes(t *testing.T) {
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// OCRDetect returns no boxes → falls through to charsToBoxes.
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eng := &mockEngine{
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pageCount: 1,
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chars: map[int][]pdf.TextChar{0: {
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{X0: 10, X1: 30, Top: 10, Bottom: 30, Text: "Hello", PageNumber: 0},
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}},
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}
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mock := &MockDocAnalyzer{
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Healthy: true,
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OCRBoxes: []pdf.OCRBox{}, // empty detect
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}
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p := NewParser(pdf.DefaultParserConfig(), mock)
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result, err := p.Parse(context.Background(), eng)
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if err != nil {
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t.Fatalf("Parse: %v", err)
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}
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if len(result.Sections) == 0 {
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t.Fatal("expected at least 1 section (charsToBoxes fallback)")
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}
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}
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// ── Error path coverage ────────────────────────────────────────────────
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func TestMockDocAnalyzer_DLAError_DoesNotCrash(t *testing.T) {
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p := NewParser(pdf.DefaultParserConfig(), &MockDocAnalyzer{
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Healthy: true,
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DLAErr: fmt.Errorf("DLA service unavailable"),
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})
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eng := &mockEngine{pageCount: 1}
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img := image.NewRGBA(image.Rect(0, 0, 100, 100))
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pageImages := map[int]image.Image{0: img}
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 0, X1: 100, Top: 0, Bottom: 50, Text: "text"},
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}
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// enrichWithDeepDoc should return nil (not panic) on DLA error.
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tables := p.enrichWithDeepDoc(context.Background(), nil, eng, boxes, pageImages)
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if len(tables) != 0 {
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t.Errorf("DLA error should produce 0 tables, got %d", len(tables))
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}
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}
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func TestMockDocAnalyzer_TSRError_DoesNotCrash(t *testing.T) {
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// TSR error: DLA succeeds, TSR fails. The table region is detected
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// but no cells are returned — the table is skipped gracefully.
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p := NewParser(pdf.DefaultParserConfig(), &MockDocAnalyzer{
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Healthy: true,
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DLARegions: []pdf.DLARegion{
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{X0: 0, Y0: 0, X1: 400, Y1: 400, Label: "table", Confidence: 0.95},
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},
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TSRErr: fmt.Errorf("TSR model timeout"),
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})
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eng := &mockEngine{pageCount: 1}
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img := image.NewRGBA(image.Rect(0, 0, 100, 100))
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pageImages := map[int]image.Image{0: img}
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boxes := []pdf.TextBox{
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{PageNumber: 0, X0: 10, X1: 90, Top: 10, Bottom: 90, Text: "in table region"},
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}
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tables := p.enrichWithDeepDoc(context.Background(), nil, eng, boxes, pageImages)
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// DLA detects the table region → 1 pdf.TableItem is created. TSR failure
|
|
// means it has no cells, but the pipeline must not panic.
|
|
if len(tables) != 1 {
|
|
t.Errorf("TSR error: expected 1 table (DLA region found), got %d", len(tables))
|
|
}
|
|
if len(tables[0].Cells) != 0 {
|
|
t.Errorf("TSR error: Cells should be empty, got %d", len(tables[0].Cells))
|
|
}
|
|
}
|
|
|
|
func TestMockDocAnalyzer_OCRDetectError_DoesNotCrash(t *testing.T) {
|
|
// OCRDetect failure path: extractPages uses ocrDetectAndRecognize which
|
|
// calls doc.OCRDetect. When it fails, the page is skipped gracefully.
|
|
mock := &MockDocAnalyzer{Healthy: true, OCRDetectErr: fmt.Errorf("OCR model OOM")}
|
|
eng := &mockEngine{
|
|
pageCount: 1,
|
|
chars: map[int][]pdf.TextChar{}, // empty → triggers OCR path
|
|
}
|
|
p := NewParser(pdf.DefaultParserConfig(), mock)
|
|
_, err := p.Parse(context.Background(), eng)
|
|
if err != nil {
|
|
t.Fatalf("Parse returned error: %v", err)
|
|
}
|
|
// Parse should succeed — the page with OCRDetect error is just skipped.
|
|
}
|
|
|
|
// TestTSRLabels verifies Go inf.DefaultTSRLabels() matches Python's table_structure_recognizer.py labels.
|
|
// Order must be exact — the ONNX model returns class IDs that index into this array.
|
|
func TestTSRLabels(t *testing.T) {
|
|
want := []string{
|
|
"table", "table column", "table row",
|
|
"table column header", "table projected row header",
|
|
"table spanning cell",
|
|
}
|
|
if len(inf.DefaultTSRLabels()) != len(want) {
|
|
t.Fatalf("inf.DefaultTSRLabels() length %d, want %d", len(inf.DefaultTSRLabels()), len(want))
|
|
}
|
|
for i := range want {
|
|
if inf.DefaultTSRLabels()[i] != want[i] {
|
|
t.Errorf("inf.DefaultTSRLabels()[%d] = %q, want %q", i, inf.DefaultTSRLabels()[i], want[i])
|
|
}
|
|
}
|
|
}
|