2026-07-05 20:45:35 +08:00
|
|
|
package table
|
|
|
|
|
|
|
|
|
|
import (
|
|
|
|
|
"strings"
|
|
|
|
|
|
|
|
|
|
pdf "ragflow/internal/deepdoc/parser/pdf/type"
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
// calSpans computes colspan and rowspan for spanning cells in the grid.
|
|
|
|
|
// Returns spanInfo (row,col → colspan,rowspan) and covered (cells hidden by spans).
|
|
|
|
|
// Matches Python's __cal_spans (table_structure_recognizer.py:535).
|
|
|
|
|
func CalSpans(rows [][]pdf.TSRCell) (map[[2]int][2]int, map[[2]int]bool) {
|
|
|
|
|
spanInfo := make(map[[2]int][2]int)
|
|
|
|
|
covered := make(map[[2]int]bool)
|
2026-07-10 20:30:00 +08:00
|
|
|
if len(rows) == 0 || len(rows[0]) == 0 {
|
|
|
|
|
return spanInfo, covered
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
|
|
|
|
|
// Compute column center positions.
|
|
|
|
|
nCols := len(rows[0])
|
|
|
|
|
colLeft := make([]float64, nCols)
|
|
|
|
|
colRight := make([]float64, nCols)
|
|
|
|
|
for j := 0; j < nCols; j++ {
|
|
|
|
|
colLeft[j] = 1e9
|
|
|
|
|
colRight[j] = -1e9
|
|
|
|
|
}
|
|
|
|
|
nRows := len(rows)
|
|
|
|
|
rowTop := make([]float64, nRows)
|
|
|
|
|
rowBott := make([]float64, nRows)
|
|
|
|
|
for i := 0; i < nRows; i++ {
|
|
|
|
|
rowTop[i] = 1e9
|
|
|
|
|
rowBott[i] = -1e9
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
for i, row := range rows {
|
|
|
|
|
for j, cell := range row {
|
2026-07-10 20:30:00 +08:00
|
|
|
if j >= nCols {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
// Exclude spanning cells from column/row boundary calculations.
|
|
|
|
|
// Use label-based detection (O(1), no dependency on column midpoints).
|
2026-07-10 20:30:00 +08:00
|
|
|
if strings.Contains(cell.Label, "spanning") {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-08-18 16:16:02 +08:00
|
|
|
// Cells without position data (e.g. the zero-coordinate cells
|
|
|
|
|
// padded by MergeTablesAcrossPages to align per-page column
|
|
|
|
|
// counts) must not define column/row geometry, or they would drag
|
|
|
|
|
// boundaries to the origin and corrupt span detection.
|
|
|
|
|
if cell.X0 == 0 && cell.X1 == 0 && cell.Y0 == 0 && cell.Y1 == 0 {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-10 20:30:00 +08:00
|
|
|
if cell.X0 < colLeft[j] {
|
|
|
|
|
colLeft[j] = cell.X0
|
|
|
|
|
}
|
|
|
|
|
if cell.X1 > colRight[j] {
|
|
|
|
|
colRight[j] = cell.X1
|
|
|
|
|
}
|
|
|
|
|
if cell.Y0 < rowTop[i] {
|
|
|
|
|
rowTop[i] = cell.Y0
|
|
|
|
|
}
|
|
|
|
|
if cell.Y1 > rowBott[i] {
|
|
|
|
|
rowBott[i] = cell.Y1
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// For each spanning cell, compute how many cols/rows it covers.
|
2026-08-22 23:13:11 +08:00
|
|
|
// Only cells explicitly recognized as a span participate. Python's
|
|
|
|
|
// __cal_spans (table_structure_recognizer.py:500-528) iterates boxes that
|
|
|
|
|
// carry an "SP" annotation (`if "SP" not in b: continue`) and never
|
|
|
|
|
// treats an ordinary "table header" as a span origin. In Go the TSR
|
|
|
|
|
// "table spanning cell" component is the SP equivalent and is labelled
|
|
|
|
|
// "spanning" by GroupBoxesByRC/GroupCells, so that is the only branch we
|
|
|
|
|
// honour here.
|
|
|
|
|
//
|
|
|
|
|
// A previous Go-only branch also spanned "table header" cells whose
|
|
|
|
|
// HLeft/HRight bbox straddled a neighbour column. That diverges from
|
|
|
|
|
// Python and is unsafe: when a cross-page merge widens a header cell's
|
|
|
|
|
// bbox (e.g. icbccs "类型" after MergeTablesAcrossPages stacks two pages'
|
|
|
|
|
// grids), its X1 can reach past the neighbour column's center and get
|
|
|
|
|
// misclassified as a colspan, folding the neighbour's text in and dropping
|
|
|
|
|
// a column from the rendered row. Removing the header branch makes Go
|
|
|
|
|
// match Python and avoids that regression.
|
2026-07-05 20:45:35 +08:00
|
|
|
for i, row := range rows {
|
|
|
|
|
for j, cell := range row {
|
2026-07-10 20:30:00 +08:00
|
|
|
if j >= nCols || covered[[2]int{i, j}] {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
if !strings.Contains(cell.Label, "spanning") {
|
2026-08-20 19:59:17 +08:00
|
|
|
continue
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
// Skip cells without position data (they can't span).
|
2026-07-10 20:30:00 +08:00
|
|
|
if cell.X0 == 0 && cell.X1 == 0 && cell.Y0 == 0 && cell.Y1 == 0 {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
// Collect every column/row whose center lies inside this cell's
|
|
|
|
|
// X/Y range — on BOTH sides of the origin, matching Python's
|
|
|
|
|
// __cal_spans (it iterates all columns j != b["cn"], not just the
|
|
|
|
|
// ones to the right). A leftward span (SP box at the right edge
|
|
|
|
|
// covering a column to its left) is therefore detected too.
|
|
|
|
|
csCols := []int{j}
|
|
|
|
|
for k := 0; k < nCols; k++ {
|
|
|
|
|
if k == j {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
// Skip columns with no non-spanning cells (initial values unchanged).
|
2026-07-10 20:30:00 +08:00
|
|
|
if colLeft[k] == 1e9 && colRight[k] == -1e9 {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
colCenter := (colLeft[k] + colRight[k]) / 2
|
2026-07-10 20:30:00 +08:00
|
|
|
if colCenter >= cell.X0 && colCenter <= cell.X1 {
|
2026-08-22 23:13:11 +08:00
|
|
|
csCols = append(csCols, k)
|
2026-07-10 20:30:00 +08:00
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
rsRows := []int{i}
|
|
|
|
|
for k := 0; k < nRows; k++ {
|
|
|
|
|
if k == i {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
// Skip rows with no non-spanning cells.
|
2026-07-10 20:30:00 +08:00
|
|
|
if rowTop[k] == 1e9 && rowBott[k] == -1e9 {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
rowCenter := (rowTop[k] + rowBott[k]) / 2
|
2026-07-10 20:30:00 +08:00
|
|
|
if rowCenter >= cell.Y0 && rowCenter <= cell.Y1 {
|
2026-08-22 23:13:11 +08:00
|
|
|
rsRows = append(rsRows, k)
|
2026-07-10 20:30:00 +08:00
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
if len(csCols) <= 1 && len(rsRows) <= 1 {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
// The covered region is the full contiguous rectangle from the
|
|
|
|
|
// min to the max covered index (Python: colspan/rowspan =
|
|
|
|
|
// range(min, max+1)), so cs/rs are the rectangle's width/height.
|
|
|
|
|
minC, maxC := j, j
|
|
|
|
|
for _, c := range csCols {
|
|
|
|
|
if c < minC {
|
|
|
|
|
minC = c
|
2026-07-05 20:45:35 +08:00
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
if c > maxC {
|
|
|
|
|
maxC = c
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
minR, maxR := i, i
|
|
|
|
|
for _, r := range rsRows {
|
|
|
|
|
if r < minR {
|
|
|
|
|
minR = r
|
|
|
|
|
}
|
|
|
|
|
if r > maxR {
|
|
|
|
|
maxR = r
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
cs, rs := maxC-minC+1, maxR-minR+1
|
|
|
|
|
spanInfo[[2]int{i, j}] = [2]int{cs, rs}
|
|
|
|
|
// Mark covered cells first, unconditionally — a covered cell
|
|
|
|
|
// is dropped from rendered output whether or not it carries
|
|
|
|
|
// text (Python sets tbl[r][c] = None for every covered cell).
|
|
|
|
|
for ri := minR; ri <= maxR && ri < nRows; ri++ {
|
|
|
|
|
for cj := minC; cj <= maxC && cj < nCols; cj++ {
|
|
|
|
|
if cj >= len(rows[ri]) {
|
|
|
|
|
continue // ragged row (post-cleanup grid)
|
|
|
|
|
}
|
|
|
|
|
if ri != i || cj != j {
|
|
|
|
|
covered[[2]int{ri, cj}] = true
|
2026-08-20 19:59:17 +08:00
|
|
|
}
|
|
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
}
|
|
|
|
|
// Fold the covered cells' text into the span origin cell,
|
|
|
|
|
// matching Python's __cal_spans (table_structure_recognizer.py:
|
|
|
|
|
// 530-577): it walks the covered region row-major and extends
|
|
|
|
|
// the span cell's text with every covered cell's text (skipping
|
|
|
|
|
// already-folded duplicates via join(arr)). Because Go's
|
|
|
|
|
// GroupCells no longer zeroes covered bboxes, those cells hold
|
|
|
|
|
// their own box text by fill time; without this fold the span
|
|
|
|
|
// cell would render empty and the covered text would be lost.
|
|
|
|
|
var merged []string
|
|
|
|
|
seen := map[string]bool{}
|
|
|
|
|
for ri := minR; ri <= maxR && ri < nRows; ri++ {
|
|
|
|
|
for cj := minC; cj <= maxC && cj < nCols; cj++ {
|
|
|
|
|
if cj >= len(rows[ri]) {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
txt := strings.TrimSpace(rows[ri][cj].Text)
|
|
|
|
|
if txt == "" || seen[txt] {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
seen[txt] = true
|
|
|
|
|
merged = append(merged, txt)
|
2026-08-20 19:59:17 +08:00
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
}
|
2026-08-22 23:13:11 +08:00
|
|
|
if len(merged) > 0 {
|
|
|
|
|
rows[i][j].Text = strings.Join(merged, " ")
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
return spanInfo, covered
|
|
|
|
|
}
|
|
|
|
|
|
2026-08-20 19:59:17 +08:00
|
|
|
// MarkCoveredCells tags every cell covered by a span with a "covered" label
|
|
|
|
|
// so downstream consumers can drop them, matching Python's HTML output, which
|
|
|
|
|
// omits covered <td> entirely (construct_table __html_table skips arr is
|
|
|
|
|
// None). The parity harness reads this to reproduce Python's per-row column
|
|
|
|
|
// counts (a span merges covered columns into one rendered cell).
|
|
|
|
|
func MarkCoveredCells(rows [][]pdf.TSRCell, covered map[[2]int]bool) {
|
|
|
|
|
for pos := range covered {
|
|
|
|
|
r, c := pos[0], pos[1]
|
|
|
|
|
if r >= len(rows) || c >= len(rows[r]) {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
if rows[r][c].Label != "" {
|
|
|
|
|
rows[r][c].Label += " "
|
|
|
|
|
}
|
|
|
|
|
rows[r][c].Label += "table covered"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2026-07-05 20:45:35 +08:00
|
|
|
// flattenGrid flattens a 2D grid into a 1D slice for fillCellTextFromBoxes.
|
|
|
|
|
func FlattenGrid(grid [][]pdf.TSRCell) []pdf.TSRCell {
|
|
|
|
|
n := 0
|
2026-07-10 20:30:00 +08:00
|
|
|
for _, row := range grid {
|
|
|
|
|
n += len(row)
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
flat := make([]pdf.TSRCell, 0, n)
|
2026-07-10 20:30:00 +08:00
|
|
|
for _, row := range grid {
|
|
|
|
|
flat = append(flat, row...)
|
|
|
|
|
}
|
2026-07-05 20:45:35 +08:00
|
|
|
return flat
|
|
|
|
|
}
|