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chore: import upstream snapshot with attribution
2026-07-13 12:16:49 +08:00

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package table
import (
"context"
"fmt"
"image"
"log/slog"
"math"
pdf "ragflow/internal/deepdoc/parser/pdf/type"
"ragflow/internal/deepdoc/parser/pdf/util"
)
// EvaluateTableOrientation tests 4 rotation angles (0/90/180/270) and picks
// the best orientation based on OCR detect-region count and area coverage.
//
// Returns bestAngle (0/90/180/270), the rotated image, and per-angle scores.
//
// Absolute threshold: non-0° wins only if its combined score exceeds 0° by
// more than 1.4× AND the 0° score is below 6.0.
//
// Python: pdf_parser.py:314 _evaluate_table_orientation()
func EvaluateTableOrientation(ctx context.Context, tableImg image.Image, doc pdf.DocAnalyzer) (bestAngle int, bestImg image.Image, scores map[int]float64) {
rotations := []struct {
angle int
name string
}{
{0, "original"},
{90, "rotate_90"},
{180, "rotate_180"},
{270, "rotate_270"},
}
scores = make(map[int]float64, 4)
bestScore := float64(-1)
bestAngle = 0
bestImg = tableImg
for _, rot := range rotations {
rotated := tableImg
if rot.angle != 0 {
rotated = util.RotateImageCW(tableImg, rot.angle)
if rotated == nil {
slog.Warn("table rotate failed", "angle", rot.angle)
continue
}
}
detectBoxes, err := doc.OCRDetect(ctx, rotated)
if err != nil || len(detectBoxes) == 0 {
scores[rot.angle] = 0
continue
}
// Score by detect-region count (primary) + area (tiebreaker).
imageArea := float64(rotated.Bounds().Dx() * rotated.Bounds().Dy())
totalRegions := 0
var totalArea float64
for _, box := range detectBoxes {
x0 := math.Min(box.X0, math.Min(box.X1, math.Min(box.X2, box.X3)))
y0 := math.Min(box.Y0, math.Min(box.Y1, math.Min(box.Y2, box.Y3)))
x1 := math.Max(box.X0, math.Max(box.X1, math.Max(box.X2, box.X3)))
y1 := math.Max(box.Y0, math.Max(box.Y1, math.Max(box.Y2, box.Y3)))
if x0 >= x1 || y0 >= y1 {
continue
}
totalRegions++
totalArea += (x1 - x0) * (y1 - y0)
}
if totalRegions == 0 {
scores[rot.angle] = 0
continue
}
areaRatio := totalArea / imageArea
combined := float64(totalRegions) * (1 + 0.06*areaRatio)
scores[rot.angle] = combined
slog.Debug("table orientation",
"angle", rot.angle,
"regions", totalRegions,
"area_ratio", fmt.Sprintf("%.4f", areaRatio),
"combined", fmt.Sprintf("%.2f", combined))
if combined > bestScore {
bestScore = combined
bestAngle = rot.angle
bestImg = rotated
}
}
// Absolute threshold: only accept non-0° if region count is clearly
// higher (≥1.4×) AND 0° has few regions (< 6).
score0 := scores[0]
if bestAngle != 0 && score0 > 0 {
if !(bestScore > score0*1.4 && score0 < 6.0) {
bestAngle = 0
bestImg = tableImg
bestScore = score0
}
}
slog.Debug("best table orientation",
"angle", bestAngle,
"score", fmt.Sprintf("%.4f", bestScore))
return bestAngle, bestImg, scores
}