"""修复 wiki 解析 + 重拉失败的文档""" import json, os, subprocess, sys, time from datetime import datetime sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) from paths import LINKS_DIR, DOCS_DIR, OUTPUT_DIR LARK = r'C:\Users\admin\AppData\Roaming\npm\node_modules\@larksuite\cli\bin\lark-cli.exe' IMAGES_DIR = os.path.join(OUTPUT_DIR, 'feishu-images') def lark_api(path, params=None, timeout=30): cmd = [LARK, 'api', 'GET', path, '--format', 'json'] if params: cmd += ['--params', json.dumps(params)] r = subprocess.run(cmd, capture_output=True, timeout=timeout) out = r.stdout.decode('utf-8', errors='replace') try: return json.loads(out) except: return None def download_media(token, local_path, timeout=30): if os.path.isfile(local_path): return True os.makedirs(os.path.dirname(local_path), exist_ok=True) filename = os.path.basename(local_path) try: r = subprocess.run( [LARK, 'api', 'GET', f'/open-apis/drive/v1/medias/{token}/download', '-o', filename], capture_output=True, timeout=timeout, cwd=os.path.dirname(local_path) ) return r.returncode == 0 and os.path.isfile(local_path) except: return False def resolve_wiki(node_id): data = lark_api('/open-apis/wiki/v2/spaces/get_node', params={'token': node_id}) if data and data.get('code') == 0: node = data.get('data', {}).get('node', {}) return node.get('obj_token', ''), node.get('title', '') return '', '' def extract_text(text_obj): if not text_obj: return '' parts = [] for elem in text_obj.get('elements', []): if 'text_run' in elem: content = elem['text_run'].get('content', '') style = elem['text_run'].get('text_element_style', {}) if style.get('bold'): content = f'**{content}**' if style.get('italic'): content = f'*{content}*' parts.append(content) elif 'mention_user' in elem: parts.append(f'@{elem["mention_user"].get("user_id", "?")}') return ''.join(parts).strip() def blocks_to_markdown(blocks, doc_id, doc_url): lines = [] image_map = {} block_map = {b['block_id']: b for b in blocks} root_blocks = [b for b in blocks if b.get('parent_id') == doc_id or not b.get('parent_id')] def process(b, depth=0): bt = b.get('block_type', 0) children = b.get('children', []) if bt == 2: t = extract_text(b.get('text', {})) if t: lines.append(t) elif 3 <= bt <= 9: t = extract_text(b.get(f'heading{bt-2}', {}) or b.get('text', {})) if t: lines.append(f'{"#"*(bt-2)} {t}') elif bt == 10: t = extract_text(b.get('bullet', {}) or b.get('text', {})) if t: lines.append(f'{" "*depth}- {t}') elif bt == 11: t = extract_text(b.get('ordered', {}) or b.get('text', {})) if t: lines.append(f'{" "*depth}1. {t}') elif bt == 12: if 'bullet' in b: t = extract_text(b.get('bullet', {})) if t: lines.append(f'{" "*depth}- {t}') else: t = extract_text(b.get('code', {}) or b.get('text', {})) if t: lines.append(f'```\n{t}\n```') elif bt == 13: t = extract_text(b.get('quote', {}) or b.get('text', {})) if t: lines.append(f'> {t}') elif bt == 14: t = extract_text(b.get('todo', {}) or b.get('text', {})) if t: lines.append(f'- [ ] {t}') elif bt == 19: if 'callout' in b: emoji = b.get('callout', {}).get('emoji_id', '') if emoji: lines.append(f'\n> :{emoji}:') else: lines.append('---') elif bt == 27: img = b.get('image', {}) token = img.get('token', '') if token: local_name = f'{doc_id}_{token[:12]}.png' local_path = os.path.join(IMAGES_DIR, local_name) image_map[token] = local_path lines.append(f'![图片](../feishu-images/{local_name})') elif bt == 30: sheet_token = b.get('sheet', {}).get('token', '') if sheet_token: lines.append(f'\n> [嵌入电子表格: {sheet_token[:20]}...]\n') elif bt == 28: lines.append('\n| (嵌入表格) |') elif bt in (21, 22, 24, 25, 31, 34): pass else: for key in ['text', 'bullet', 'heading1', 'heading2', 'heading3', 'quote', 'code', 'todo']: if key in b: t = extract_text(b[key]) if t: lines.append(t) break for cid in children: if cid in block_map: process(block_map[cid], depth + 1) for b in root_blocks: process(b, depth=0) header = [f'# {doc_id}\n', f'Source: {doc_url}\n', ''] return '\n'.join(header + lines), image_map # 加载已有索引 content_path = os.path.join(LINKS_DIR, 'all_feishu_content.json') with open(content_path, 'r', encoding='utf-8') as f: content_data = json.load(f) existing = {d['doc_id']: d for d in content_data.get('documents', [])} # 找出需要重试的文档(fetched=False 或不存在的) links_path = os.path.join(LINKS_DIR, 'all_feishu_links.json') with open(links_path, 'r', encoding='utf-8') as f: all_links = json.load(f).get('links', []) retry = [] for link in all_links: did = link.get('doc_id', '') if not did: continue old = existing.get(did, {}) if not old.get('fetched', False) or old.get('content_length', 0) <= 200: retry.append(link) print(f'需要重试: {len(retry)} 篇\n') new = err = 0 for i, link in enumerate(retry): doc_id = link.get('doc_id', '') doc_type = link.get('type', 'docx') url = link.get('url', '') sender = link.get('sender', '?') print(f'[{i+1}/{len(retry)}] {doc_id} ({sender})...', end=' ', flush=True) real_id = doc_id title = '' if doc_type == 'wiki': real_id, wiki_title = resolve_wiki(doc_id) if not real_id: print('wiki FAIL'); err += 1; continue title = wiki_title data = lark_api(f'/open-apis/docx/v1/documents/{real_id}/blocks') if not data or data.get('code') != 0: print('API FAIL'); err += 1; continue blocks = data.get('data', {}).get('items', []) if not blocks: print('空'); err += 1; continue md, image_map = blocks_to_markdown(blocks, doc_id, url) downloaded = 0 for token, local_path in image_map.items(): if download_media(token, local_path): downloaded += 1 time.sleep(0.1) with open(os.path.join(DOCS_DIR, f'{doc_id}.md'), 'w', encoding='utf-8') as f: f.write(md) if not title: for line in md.split('\n'): if line.startswith('# ') and len(line) > 2: title = line[2:].strip(); break existing[doc_id] = { 'url': url, 'doc_id': doc_id, 'title': title, 'sender': sender, 'group': link.get('group', ''), 'time': link.get('time', ''), 'content_length': len(md), 'image_blocks': len(image_map), 'images_downloaded': downloaded, 'fetched': True, 'fetched_at': datetime.now().isoformat(), } new += 1 print(f'OK ({len(md)}c, {len(image_map)}img, {downloaded}dl)') time.sleep(0.15) # 保存索引 content_data['documents'] = list(existing.values()) content_data['total'] = len(existing) with open(content_path, 'w', encoding='utf-8') as f: json.dump(content_data, f, ensure_ascii=False, indent=2) imgs = len([f for f in os.listdir(IMAGES_DIR) if f.endswith('.png')]) if os.path.isdir(IMAGES_DIR) else 0 print(f'\n完成! 新拉取:{new} 失败:{err} 总计:{len(existing)} 图片:{imgs}')