45287b3541
overflow-hidden → overflow-y-auto so all nav items are reachable. Added /parent (Eltern-Portal) link with people icon. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
135 lines
4.7 KiB
Python
135 lines
4.7 KiB
Python
"""
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Word assembly helpers for OCR output.
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Groups raw OCR word dicts (with 'top', 'left', 'width', 'text' keys)
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into visual lines, rejoins hyphenated words, and produces reading-order
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text. All functions are pure standard-library; no NumPy or project
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imports required.
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"""
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import logging
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from typing import Dict, List
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logger = logging.getLogger(__name__)
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def _group_words_into_lines(words: List[Dict], y_tolerance_px: int = 20) -> List[List[Dict]]:
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"""Group words by Y position into lines, sorted by X within each line."""
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if not words:
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return []
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sorted_words = sorted(words, key=lambda w: (w['top'], w['left']))
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lines: List[List[Dict]] = []
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current_line: List[Dict] = [sorted_words[0]]
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current_y = sorted_words[0]['top']
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for word in sorted_words[1:]:
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if abs(word['top'] - current_y) <= y_tolerance_px:
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current_line.append(word)
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else:
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current_line.sort(key=lambda w: w['left'])
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lines.append(current_line)
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current_line = [word]
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current_y = word['top']
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if current_line:
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current_line.sort(key=lambda w: w['left'])
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lines.append(current_line)
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return lines
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def _words_to_reading_order_lines(words: List[Dict], y_tolerance_px: int = 15) -> List[str]:
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"""Group OCR words into visual lines in reading order.
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Returns a list of line strings (one per visual line in the cell).
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"""
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if not words:
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return []
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lines = _group_words_into_lines(words, y_tolerance_px=y_tolerance_px)
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return [' '.join(w['text'] for w in line) for line in lines]
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def _rejoin_hyphenated(lines: List[str]) -> List[str]:
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"""Rejoin words split by line-break hyphenation.
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E.g. ['Fu\u00df-', 'boden'] \u2192 ['Fu\u00dfboden']
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['some text-', 'thing here'] \u2192 ['something here']
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"""
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if len(lines) <= 1:
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return lines
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result = []
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i = 0
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while i < len(lines):
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line = lines[i]
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# If line ends with '-' and there's a next line, rejoin
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if i + 1 < len(lines) and line.rstrip().endswith('-'):
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stripped = line.rstrip()
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# Get the word fragment before hyphen (last word)
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prefix = stripped[:-1] # remove trailing hyphen
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next_line = lines[i + 1]
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# Join: last word of this line + first word of next line
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prefix_words = prefix.rsplit(' ', 1)
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next_words = next_line.split(' ', 1)
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if len(prefix_words) > 1:
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joined = prefix_words[0] + ' ' + prefix_words[1] + next_words[0]
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else:
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joined = prefix_words[0] + next_words[0]
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remainder = next_words[1] if len(next_words) > 1 else ''
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if remainder:
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result.append(joined + ' ' + remainder)
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else:
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result.append(joined)
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i += 2
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else:
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result.append(line)
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i += 1
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return result
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def _words_to_reading_order_text(words: List[Dict], y_tolerance_px: int = 15) -> str:
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"""Join OCR words into text in correct reading order, preserving line breaks.
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Groups words into visual lines by Y-tolerance, sorts each line by X,
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rejoins hyphenated words, then joins lines with newlines.
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"""
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lines = _words_to_reading_order_lines(words, y_tolerance_px)
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lines = _rejoin_hyphenated(lines)
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return '\n'.join(lines)
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def _words_to_spaced_text(words: List[Dict], y_tolerance_px: int = 15) -> str:
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"""Join OCR words preserving proportional horizontal spacing.
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Instead of single spaces between words, inserts multiple spaces based on
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the pixel gap between words relative to average character width.
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Useful for box sub-sessions where spatial layout matters.
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"""
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lines = _group_words_into_lines(words, y_tolerance_px=y_tolerance_px)
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result_lines = []
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for line_words in lines:
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if not line_words:
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continue
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sorted_words = sorted(line_words, key=lambda w: w['left'])
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# Calculate average character width from all words in line
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total_chars = sum(len(w['text']) for w in sorted_words if w.get('text'))
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total_width = sum(w['width'] for w in sorted_words if w.get('text'))
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avg_char_width = total_width / total_chars if total_chars > 0 else 10
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parts = []
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for i, word in enumerate(sorted_words):
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parts.append(word.get('text', ''))
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if i < len(sorted_words) - 1:
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next_word = sorted_words[i + 1]
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gap_px = next_word['left'] - (word['left'] + word['width'])
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num_spaces = max(1, round(gap_px / avg_char_width))
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parts.append(' ' * num_spaces)
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result_lines.append(''.join(parts))
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return '\n'.join(result_lines)
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