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@@ -398,9 +398,101 @@ def cmd_chapter(args):
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if strlen > args.warn_at:
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note(f'⚠ 本章约 {strlen} 字符，超过 {args.warn_at} 的提示阈值——注意上下文预算。')
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- args.coords = [f'{book}:{p}' for p in range(start, end + 1)]
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- args.limit = max(args.limit, length * 20)
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- return cmd_get(args)
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+ return fetch_chapter_content(client, book, start, args)
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+
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+
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+def fetch_chapter_content(client, book, para, args):
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+ """整章取文：走 chapter-content，一次拿回全章并按句对齐。
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+
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+ 服务端返回的结构极厚（每句都带 channel / studio / editor / 各类计数，
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+ 24–36 KB），直接丢给模型是浪费。这里只留每句的 id 与 html——id 本身就是
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+ 可引用的坐标（book-para-wordStart-wordEnd），html 保留了 <strong> 黑体，
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+ 那是判断「这句是不是词条解释」的依据，不能丢。
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+ """
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+ query = {}
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+ if args.channel:
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+ query['channels'] = ','.join(args.channel)
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+ try:
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+ data = client.call('GET', f'v2/chapter-content/{book}-{para}', query=query,
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+ timeout=READ_TIMEOUT)
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+ except ApiError as exc:
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+ raise explain_api_error(exc, f'取 {book}:{para} 的整章内容')
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+
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+ raw = (data or {}).get('content') or '[]'
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+ try:
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+ paragraphs = json.loads(raw) if isinstance(raw, str) else raw
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+ except ValueError:
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+ raise WpError('整章内容不是合法 JSON，服务端返回形状可能变了。')
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+
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+ wanted = set(args.channel or [])
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+ out = []
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+ placeholders = 0
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+ for item in paragraphs:
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+ sentences = []
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+ for child in item.get('children') or []:
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+ body = pick_body(child, wanted)
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+ if body is None:
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+ continue
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+ if not body.strip():
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+ # 请求的 channel 在这一句没有内容时，服务端仍返回等量的空占位条目。
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+ # 照直输出会让人以为「有译文只是没显示」，必须滤掉并单独报数。
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+ placeholders += 1
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+ continue
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+ sentences.append({
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+ 'id': child.get('id'),
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+ 'text': strip_markup(body) if args.text else body,
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+ })
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+ if sentences:
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+ out.append({'para': int(item.get('para')), 'sentences': sentences})
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+
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+ def render():
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+ total = sum(len(x['sentences']) for x in out)
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+ src = f'channel {",".join(args.channel)}' if args.channel else '巴利原文'
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+ if not total:
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+ print(f'\n该 channel 在本章**没有任何内容**'
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+ + (f'（服务端返回了 {placeholders} 条空占位）' if placeholders else '') + '。')
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+ print('如实报告「该译本在本章无文本」，不要拿别的版本或相邻章节顶替。')
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+ print('用 wikipali versions <坐标> 看这一段实际有哪些译本。')
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+ return
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+ print(f'\n{len(out)} 段 / {total} 句（{src}）'
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+ + (f' ⚠ 另有 {placeholders} 句该 channel 无内容，已略去' if placeholders else ''))
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+ for item in out:
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+ print(f'\n## {book}:{item["para"]}')
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+ for sent in item['sentences']:
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+ print(f' {sent["id"]} {sent["text"]}')
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+ print('\n句子 id 就是引用坐标（book-para-wordStart-wordEnd）。')
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+
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+ emit(args, out, render)
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+ return 0
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+
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+
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+def pick_body(child, wanted_channels):
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+ """取这一句要展示的正文：指定了 channel 就取该 channel 的译文，否则取原文。
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+
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+ **优先 content，为空才回退 html**——两者按 channel 类型互补：
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+ - original（巴利原文）的 content 是空的，正文在 html 里（带 <strong> 黑体）；
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+ - nissaya 的 content 是 markdown 源码「巴利词= 缅文释义。」，既紧凑又保住了
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+ 「哪部分是巴利、哪部分是释义」这个区分；其 html 是同样内容的渲染结果，
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+ 体积十几倍且把两者拼在了一起。
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+ """
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+ sources = []
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+ if wanted_channels:
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+ for tran in child.get('translation') or []:
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+ if ((tran.get('channel') or {}).get('id')) in wanted_channels:
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+ sources.append(tran)
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+ if not sources:
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+ return None
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+ else:
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+ sources = child.get('origin') or []
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+
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+ for src in sources:
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+ body = (src.get('content') or '').strip()
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+ if body:
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+ return body
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+ html = (src.get('html') or '').strip()
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+ if html:
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+ return html
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+ return ''
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# ---------------------------------------------------------------------------
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@@ -699,3 +791,97 @@ def cmd_anthology(args):
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emit(args, rows, render)
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return 0
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+
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+
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+# ---------------------------------------------------------------------------
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+# books —— 分类目录：按 tag 找书
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+# ---------------------------------------------------------------------------
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+
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+
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+def books_cache_path():
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+ import os
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+ from creds import CREDS_DIR
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+ return os.path.join(CREDS_DIR, 'cache', 'book-titles.json')
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+
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+
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+def fetch_books(client, refresh=False):
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+ """书目清单整表拉一次缓存在本地。服务端也缓存 24 小时，这里再缓存一层是为了
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+ 让按 tag 筛选变成本地操作——281 条全量在手，筛什么都不用再请求。"""
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+ import os
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+ path = books_cache_path()
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+ if os.path.exists(path) and not refresh:
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+ try:
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+ with open(path, encoding='utf-8') as fh:
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+ return json.load(fh)
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+ except (OSError, ValueError):
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+ pass
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+ try:
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+ data = client.call('GET', 'v2/book-title', timeout=READ_TIMEOUT)
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+ except ApiError as exc:
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+ raise explain_api_error(exc, '取书目清单')
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+ rows = (data or {}).get('rows') or []
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+ if rows and 'tags' not in rows[0]:
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+ raise WpError(
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+ '该站点返回的书目清单里没有 tags/toc 字段——服务端版本较旧，'
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+ '分类目录功能尚未上线。\n'
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+ '可以换最新版试试：wikipali --api next books …'
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+ )
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+ os.makedirs(os.path.dirname(path), exist_ok=True)
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+ with open(path, 'w', encoding='utf-8') as fh:
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+ json.dump(rows, fh, ensure_ascii=False)
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+ return rows
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+
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+
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+def cmd_books(args):
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+ client = make_client(args)
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+ rows = fetch_books(client, refresh=args.refresh)
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+
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+ if args.tag_list:
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+ counter = {}
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+ for r in rows:
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+ for t in r.get('tags') or []:
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+ counter[t] = counter.get(t, 0) + 1
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+
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+ def render_tags():
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+ print(f'{len(counter)} 个 tag（后面是有该 tag 的书数）：\n')
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+ for name, n in sorted(counter.items(), key=lambda kv: (-kv[1], kv[0]))[: args.limit]:
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+ print(f' {n:>4} {name}')
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+ print('\n多个 tag 用逗号连接是**且**的关系：'
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+ 'wikipali books --tags dīghanikāya,ṭīkā')
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+ emit(args, counter, render_tags)
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+ return 0
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+
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+ hits = rows
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+ if args.tags:
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+ want = [t.strip() for t in args.tags.split(',') if t.strip()]
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+ hits = [r for r in hits if all(t in (r.get('tags') or []) for t in want)]
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+ if args.keyword:
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+ kw = args.keyword.lower()
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+ hits = [r for r in hits
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+ if kw in str(r.get('title', '')).lower() or kw in str(r.get('toc', '')).lower()]
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+
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+ def render():
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+ scope = []
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+ if args.tags:
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+ scope.append(f'tags={args.tags}')
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+ if args.keyword:
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+ scope.append(f'关键词={args.keyword}')
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+ print(f'{len(hits)} 部书（全部 {len(rows)} 部）'
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+ + (f' [{" ".join(scope)}]' if scope else ''))
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+ if not hits:
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+ print('\n没有匹配的书。用 --tag-list 看有哪些 tag；多个 tag 之间是「且」。')
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+ return
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+ print()
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+ for r in hits[: args.limit]:
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+ cs = f' {r["related_name"]}' if r.get('related_name') else ''
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+ print(f' {r.get("book")}:{r.get("paragraph"):<6} {str(r.get("toc"))[:38]:<40}{cs}')
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+ if args.show_tags:
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+ print(f' {" ".join(r.get("tags") or [])}')
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+ if len(hits) > args.limit:
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+ print(f' …… 其余 {len(hits) - args.limit} 部（--limit 调整）')
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+ if hits:
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+ first = hits[0]
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+ print(f'\n看某本书的章节：wikipali toc {first.get("book")}:{first.get("paragraph")}')
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+
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+ emit(args, hits, render)
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+ return 0
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visuddhinanda