#!/usr/bin/env python3 """Inspect and preview minhon retain_candidate pages without changing sources. All edit offsets are Unicode character offsets in the decoded original text (before line-ending/whitespace normalization), not UTF-8 byte offsets. """ from __future__ import annotations import argparse from collections import Counter, defaultdict import csv from dataclasses import dataclass, field from datetime import datetime, timezone import hashlib import json from pathlib import Path import re import sys ROOT = Path(__file__).resolve().parents[1] DEFAULT_RULES = Path(__file__).with_name('minhon_preprocess_rules.json') KANA = re.compile(r'[ぁ-ゖァ-ヺーゝゞヽヾ々〱〲〳〴〵\s・・]+\Z') BASE_CHAR = re.compile(r'[\u3400-\u9fff\uf900-\ufaff\U00020000-\U000323afぁ-ゖァ-ヺ々〻〆〇〱〲〳〴〵\ufe00-\ufe0f\U000e0100-\U000e01ef]') TAG_HEAD = re.compile(r'([^::\n《》]{1,40})[::]') RETURN_MARK = re.compile(r'_[レ一二三上中下甲乙丙]+') OKURI_MARK = re.compile(r' ̄([ァ-ヺー]+)') def sha256(data: bytes) -> str: return hashlib.sha256(data).hexdigest() def dump_line(handle, value): handle.write(json.dumps(value, ensure_ascii=False) + '\n') @dataclass class Result: text: str edits: list = field(default_factory=list) issues: list = field(default_factory=list) features: Counter = field(default_factory=Counter) normalization: dict = field(default_factory=dict) class Cleaner: def __init__(self, rules): self.rules = rules self.admin_patterns = [re.compile(p) for p in rules['admin_line_patterns']] self.opens = {'《': '》', '(': ')', '(': ')', **rules['editorial_brackets'], **rules.get('legacy_editorial_brackets', {})} self.closes = set(self.opens.values()) def clean(self, original: str) -> Result: result = Result('') def issue(kind, start, end, **extra): result.issues.append(dict(kind=kind, start=start, end=end, **extra)) result.features[kind] += 1 def edit(kind, start, end, replacement): result.edits.append(dict(kind=kind, start=start, end=end, before=original[start:end], after=replacement)) result.features[kind] += 1 def matching(start, limit): opening = original[start] aggressive_round = opening in '((' and self.rules.get('round_brackets_policy') == 'drop_all' aggressive_note = (opening in self.rules['editorial_brackets'] or opening in self.rules.get('legacy_editorial_brackets', {})) and self.rules.get('legacy_editorial_policy') == 'drop' if aggressive_round or aggressive_note: # Annotation contents may themselves contain broken markup. # Balance only the delimiter family that will be discarded. starts = '((' if aggressive_round else opening ends = '))' if aggressive_round else self.opens[opening] level = 1 for pos in range(start + 1, limit): if original[pos] in starts: level += 1 elif original[pos] in ends: level -= 1 if level == 0: return pos return None stack = [original[start]] for pos in range(start + 1, limit): char = original[pos] if char in self.opens: stack.append(char) if len(stack) > 64: return None elif char in self.closes: if not stack: return None expected = self.opens[stack[-1]] if char != expected and not (stack[-1] in '((' and char in '))'): return None stack.pop() if not stack: return pos return None def split_parts(start, end): parts, current = [], start pos = start while pos < end: if original[pos] in self.opens: close = matching(pos, end) if close is None: return None pos = close + 1 continue if original[pos] in '||': parts.append((current, pos)) current = pos + 1 pos += 1 parts.append((current, end)) return parts def ruby_at(pos, limit): close = matching(pos, limit) if close is None: return None content = original[pos + 1:close] if content.strip() and KANA.fullmatch(content): return close return None def parse(start, end, depth=0): if depth > 64: issue('nesting_limit', start, end) return original[start:end] out, pos = [], start while pos < end: char = original[pos] if char in self.opens: close = matching(pos, end) if close is None: # Preserve the entire remainder: never reinterpret nested # spans inside a broken outer annotation as ordinary text. issue('unclosed_or_mismatched_bracket', pos, end) out.append(original[pos:end]) break stop = close + 1 if char in self.rules['editorial_brackets']: edit('editorial_note', pos, stop, '') elif char in self.rules.get('legacy_editorial_brackets', {}): edit('legacy_editorial_note', pos, stop, '') if self.rules.get('legacy_editorial_policy', 'review') != 'drop': issue('legacy_note_requires_review', pos, stop) elif char in '((': if self.rules.get('round_brackets_policy') == 'drop_all': edit('round_bracket_contents', pos, stop, '') if self.opens[char] != original[close]: result.features['mixed_round_brackets'] += 1 elif pos > 0 and BASE_CHAR.fullmatch(original[pos-1]) and ruby_at(pos, end) == close: edit('parenthetical_ruby', pos, stop, '') if self.opens[char] != original[close]: result.features['mixed_round_brackets'] += 1 else: out.append(original[pos:stop]) issue('non_ruby_parentheses', pos, stop) else: header = TAG_HEAD.match(original, pos + 1, close) name = header[1].strip() if header else '' action = self.rules['tags'].get(name) parts = ([(header.end(), close)] if action in ('unwrap', 'drop') else split_parts(header.end(), close)) if header else None valid = parts is not None if action == 'ruby': valid = valid and len(parts) in (2, 3) elif action in ('first', 'correction'): valid = valid and len(parts) == 2 elif action in ('unwrap', 'drop'): valid = valid and len(parts) == 1 elif action == 'join': valid = valid and len(parts) >= 1 else: valid = False if not valid: out.append(original[pos:stop]) issue('unknown_or_invalid_tag', pos, stop, tag=name) else: # Nested changes are summarized by the outer edit; # features still record the nested notation types. saved = len(result.edits) selected = ([] if action == 'drop' else parts if action in ('join', 'unwrap') else [parts[-1] if action == 'correction' else parts[0]]) replacement = ''.join(parse(a, b, depth + 1) for a, b in selected) del result.edits[saved:] out.append(replacement) edit('tag:' + name, pos, stop, replacement) pos = stop continue # Ruby-base delimiters are removed only when a ruby actually follows. if char in '||/': candidate = pos + 1 while candidate < end and BASE_CHAR.fullmatch(original[candidate]): candidate += 1 bracket_end = (matching(candidate, end) if self.rules.get('round_brackets_policy') == 'drop_all' else ruby_at(candidate, end)) if candidate < end and original[candidate] in '((' else None if candidate > pos + 1 and bracket_end is not None: edit('ruby_base_marker', pos, pos + 1, '') pos += 1 continue issue('unresolved_separator', pos, pos + 1) match = RETURN_MARK.match(original, pos, end) if match: edit('return_mark', pos, match.end(), '') pos = match.end() continue match = OKURI_MARK.match(original, pos, end) if match: out.append(match[1]) edit('okurigana_marker', pos, match.end(), match[1]) pos = match.end() continue if char in self.closes: issue('unmatched_closing_bracket', pos, pos + 1) elif char in '_ ̄': issue('unresolved_kanbun_marker', pos, pos + 1) out.append(char) pos += 1 return ''.join(out) # Administrative removal is intentionally limited to explicit whole lines. # The era-audit offsets are NFKC offsets and cannot be applied to this source. pieces, cursor = [], 0 for match in re.finditer(r'[^\r\n]+', original): if any(pattern.fullmatch(match[0]) for pattern in self.admin_patterns): pieces.append(parse(cursor, match.start())) edit('administrative_line', match.start(), match.end(), '') cursor = match.end() pieces.append(parse(cursor, len(original))) text = ''.join(pieces) before_normalization = text missing_removed_in_normalization = 0 if self.rules.get('missing_character_policy') == 'drop': missing_removed_in_normalization = text.count('□') text = text.replace('□', '') if original.count('□'): # Includes squares already removed inside annotations as well. result.features['missing_characters_removed'] += original.count('□') text = text.removeprefix('\ufeff').replace('\r\n', '\n').replace('\r', '\n') controls = re.findall(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]', text) text = re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]', '', text) # Spaces can represent deliberate omissions (闕字); line breaks and # indentation reflect the source. Do not trim or collapse this layout. # Entirely whitespace-only pages have no model text, and are counted. if not text.strip(): text = '' result.text = text result.normalization = dict(changed=text != before_normalization, chars_before=len(before_normalization), chars_after=len(text), control_characters_removed=len(controls), missing_characters_removed=missing_removed_in_normalization) if controls: result.features['control_characters'] += len(controls) raw_len = len(re.sub(r'\s', '', original)) clean_len = len(re.sub(r'\s', '', text)) if raw_len >= self.rules['min_chars_for_removal_review'] and 1 - clean_len / raw_len > self.rules['max_removal_ratio']: issue('high_removal_ratio', 0, len(original)) missing = text.count('□') if missing: result.features['missing_characters'] += missing if missing >= self.rules['min_missing_for_review'] and missing / max(1, clean_len) > self.rules['max_missing_ratio']: issue('high_missing_ratio', 0, len(original)) if not text.strip(): result.features['empty_after_cleaning'] += 1 result.edits.sort(key=lambda item: item['start']) return result def candidate_pages(audit: Path, source_root: Path): """CSV allowlist only; never walk view symlinks or translations.""" documents = {} with (audit / 'documents.csv').open(encoding='utf-8-sig', newline='') as handle: for row in csv.DictReader(handle): if row['decision'] != 'retain_candidate': continue key = '/'.join(filter(None, (row['version'], row['project'], row['id']))) documents[key] = row seen = set() with (audit / 'pages.csv').open(encoding='utf-8-sig', newline='') as handle: for row in csv.DictReader(handle): if row['document_decision'] != 'retain_candidate': continue # The audit contains absolute source paths. Map their logical v1/v3 # suffix into the selected source root so the dataset is portable. parts = Path(row['source_path']).parts indexes = [i for i, part in enumerate(parts) if part == 'honkoku-data'] if not indexes: raise ValueError('source_path lacks honkoku-data: ' + row['source_path']) rel = Path(*parts[indexes[-1] + 1:]) if '..' in rel.parts or 'translations' in rel.parts or rel.suffix != '.txt': raise ValueError('unsafe or non-body path: ' + str(rel)) doc_parts = 2 if rel.parts[0] == 'v1' else 3 if rel.parts[0] == 'v3' else 0 if not doc_parts or len(rel.parts) <= doc_parts: raise ValueError('invalid page path: ' + str(rel)) doc_key = Path(*rel.parts[:doc_parts]).as_posix() if doc_key not in documents: raise ValueError('page missing retained document: ' + str(rel)) if rel.as_posix() in seen: raise ValueError('repeated source page: ' + str(rel)) seen.add(rel.as_posix()) path = source_root / rel path.resolve().relative_to(source_root.resolve()) doc = documents[doc_key] yield path, dict(id=rel.as_posix(), document_id=doc_key, source_path=rel.as_posix(), page=rel.relative_to(Path(doc_key)).as_posix(), version=doc['version'], project=doc['project'], title=doc['title'], era_bucket=doc['era_bucket']) def scan(args): rule_bytes = args.rules.read_bytes() rules = json.loads(rule_bytes) cleaner = Cleaner(rules) # Refuse output directories that exist: a partial/older run is never overwritten. args.output.mkdir(parents=True, exist_ok=False) manifest = dict(command=args.command, state='running', created_at=datetime.now(timezone.utc).isoformat(), rules=rules, rules_sha256=sha256(rule_bytes), script_sha256=sha256(Path(__file__).read_bytes()), audit=str(args.audit.resolve()), source_root=str(args.source_root.resolve()), input_hashes={name: sha256((args.audit / name).read_bytes()) for name in ('documents.csv', 'pages.csv')}, limit=args.limit, offset_unit='decoded_original_unicode_characters', notes=['No training, split, tokenization or corpus merging.', 'Candidate status is not proof of original date.', 'Duplicates are reported, not removed.', 'Only build emits clean_pages.jsonl; inspect/sample emit reports and previews.', 'No document concatenation until page ordering and gaps are verified.']) manifest_path = args.output / 'manifest.json' manifest_path.write_text(json.dumps(manifest, ensure_ascii=False, indent=2) + '\n') counts, feature_pages, feature_hits = Counter(), Counter(), Counter() projects = defaultdict(Counter) tags = Counter() samples = Counter() docs, nonempty_docs, clean_docs = set(), set(), set() hashes, duplicate_groups = {}, {} preview_ids = set() max_chars = 0 with (args.output / 'preview.jsonl').open('w') as previews, (args.output / 'review.jsonl').open('w') as reviews, (args.output / 'edits.jsonl').open('w') as edits, (args.output / 'empty_pages.jsonl').open('w') as empty_pages: clean_handle = (args.output / 'clean_pages.jsonl').open('w') if args.command == 'build' else None try: for index, (path, meta) in enumerate(candidate_pages(args.audit, args.source_root), 1): if args.limit and index > args.limit: break counts['candidate_pages'] += 1 docs.add(meta['document_id']) project = meta['version'] + '/' + meta['project'] projects[project]['pages'] += 1 try: data = path.read_bytes() raw = data.decode('utf-8') except (OSError, UnicodeError) as error: counts['read_errors'] += 1 dump_line(reviews, dict(**meta, status='error', error=str(error))) continue result = cleaner.clean(raw) status = 'empty' if not result.text.strip() else 'review' if result.issues else 'clean' counts[status + '_pages'] += 1 counts['raw_characters'] += len(raw) if not raw.removeprefix('\ufeff').strip(): counts['raw_empty_pages'] += 1 elif status == 'empty': counts['removed_to_empty_pages'] += 1 counts['clean_characters'] += len(result.text) counts[status + '_page_characters'] += len(result.text) if status != 'empty': nonempty_docs.add(meta['document_id']) if status == 'clean': clean_docs.add(meta['document_id']) counts['non_whitespace_clean_characters'] += len(re.sub(r'\s', '', result.text)) counts['clean_bytes'] += len(result.text.encode('utf-8')) counts['edits'] += len(result.edits) counts['missing_characters'] += result.text.count('□') counts['raw_missing_characters'] += raw.count('□') counts['missing_characters_removed'] += raw.count('□') - result.text.count('□') projects[project]['raw_characters'] += len(raw) projects[project]['clean_characters'] += len(result.text) projects[project][status + '_pages'] += 1 max_chars = max(max_chars, len(result.text)) feature_hits.update(result.features) feature_pages.update(result.features.keys()) for match in re.finditer(r'《([^::\n《》]{1,40})[::]', raw): tags[match[1]] += 1 record = dict(**meta, source_sha256=sha256(data), clean_sha256=sha256(result.text.encode('utf-8')), rules_version=rules['version'], status=status, text=result.text, raw_characters=len(raw), clean_characters=len(result.text), features=dict(result.features), issues=result.issues, normalization=result.normalization) if status != 'empty': digest = record['clean_sha256'] member = dict(id=meta['id'], document_id=meta['document_id'], status=status) if digest in hashes: duplicate_groups.setdefault(digest, [hashes[digest]]).append(member) counts['exact_duplicate_extra_pages'] += 1 else: hashes[digest] = member if result.issues: dump_line(reviews, {k: v for k, v in record.items() if k != 'text'}) if status == 'empty': dump_line(empty_pages, {k: v for k, v in record.items() if k != 'text'}) if result.edits or result.normalization['changed']: dump_line(edits, dict(id=meta['id'], source_sha256=record['source_sha256'], edits=result.edits, normalization=result.normalization)) reasons = [feature for feature in sorted(result.features) if samples[feature] < rules['sample_per_feature']] if reasons or index <= 8: if meta['id'] not in preview_ids: dump_line(previews, dict(**record, raw_text=raw, sample_reasons=reasons, edits=result.edits)) preview_ids.add(meta['id']) counts['preview_pages'] += 1 samples.update(reasons) if clean_handle and status == 'clean': dump_line(clean_handle, record) if index % 25000 == 0: print(f'{index:,} pages inspected', file=sys.stderr, flush=True) finally: if clean_handle: clean_handle.close() with (args.output / 'duplicates.jsonl').open('w') as handle: for digest, members in sorted(duplicate_groups.items()): dump_line(handle, dict(clean_sha256=digest, members=members, cross_document=len({m['document_id'] for m in members}) > 1)) report = dict(counts=dict(counts), documents=len(docs), documents_with_nonempty_pages=len(nonempty_docs), documents_with_clean_pages=len(clean_docs), documents_without_nonempty_pages=len(docs - nonempty_docs), max_clean_page_characters=max_chars, exact_duplicate_groups=len(duplicate_groups), feature_page_counts=dict(feature_pages.most_common()), feature_occurrences=dict(feature_hits.most_common()), tag_occurrences=dict(tags.most_common()), projects={key: dict(value) for key, value in sorted(projects.items())}) (args.output / 'report.json').write_text(json.dumps(report, ensure_ascii=False, indent=2) + '\n') manifest.update(state='complete', completed_at=datetime.now(timezone.utc).isoformat()) manifest_path.write_text(json.dumps(manifest, ensure_ascii=False, indent=2) + '\n') print(json.dumps(dict(output=str(args.output), counts=dict(counts), documents=len(docs)), ensure_ascii=False)) def main(): parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('command', choices=('inspect', 'sample', 'build')) parser.add_argument('--audit', type=Path, default=ROOT / 'minhon/era-audit/output-v2') parser.add_argument('--source-root', type=Path, default=ROOT / 'minhon/honkoku-data') parser.add_argument('--rules', type=Path, default=DEFAULT_RULES) parser.add_argument('--output', type=Path, required=True) parser.add_argument('--limit', type=int, default=0, help='0: all candidates; positive: first N pages') args = parser.parse_args() if args.limit < 0: parser.error('--limit must be non-negative') scan(args) if __name__ == '__main__': main()