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DadaoTask/backend/app/domain/chunking.py
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dadao d079564d6c
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feat(knowledge): 语义检索打通——切片、混合打分、只搜已发布
之前知识只能"存",不能"找"。这一版把链路补上:切片 → 向量 → 打分 → 带来源返回。

- chunk 表 + 迁移 0006:正文按标题归段切、代码块整块保留、超长按句切、
  相邻片重叠 80 字;RLS 与 GRANT 与其它租户表一致
- 向量提供方做成协议:内置 hash(字符二元组,零依赖可复现,作为基线)
  与 OpenAI 兼容端点两种,换实现不动业务代码
- 检索是混合打分:向量 0.6 + pg_trgm 0.4。专有编号、单号这类必须原样命中的词
  靠词法兜,换个说法表达的同一件事靠向量兜
- 三条纪律:只搜 published(过滤写在 SQL 里)、低于阈值宁可不返回、
  每条命中都带来源标题与 item_id
- 发布时自动建索引,改完正文用 POST /knowledge/{id}/reindex 重建
- Web 知识页加检索框与命中卡片;新增 e2e/retrieval.mjs 6 项

为什么不是 pgvector:本机 Docker 起不来、fnsvr-01 没有该扩展且明确不动。
先用 real[] + SQL 余弦把链路跑通,将来换列类型与索引即可,接口不变。

后端 79 passed,e2e smoke/knowledge/richtext/retrieval 全绿。
2026-10-29 04:28:09 +08:00

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"""把 Markdown 正文切成适合检索的小片段(M3)。
切片的目的是"喂给检索",不是"给人读",所以三条规则优先于其它考虑:
1. **不切坏结构**:代码块整块保留,表格不拆行,标题跟着它下面的段落走
(单独一句"结论"离开上下文就没意义)。
2. **片内自洽**:每片尽量包含一个完整意思,超长才按句号切。
3. **相邻片有重叠**:跨段的话被切断时,前后片都能读到完整句子,命中后引用才不乱。
不引入分词器:中文另起 `zhparser` 要装扩展,而片段足够短时字符级检索已经够用。
"""
from __future__ import annotations
import re
from dataclasses import dataclass
HEADING_RE = re.compile(r"^(#{1,6})\s+(.+?)\s*$")
FENCE_RE = re.compile(r"^\s*```")
SENTENCE_RE = re.compile(r"[^。!?!?;;\n]+[。!?!?;;]?")
@dataclass(frozen=True)
class ChunkDraft:
heading: str | None
content: str
def _split_long(text: str, max_chars: int) -> list[str]:
"""把超长段落按句子切开;单句仍然超长就硬切。"""
pieces: list[str] = []
buffer = ""
for sentence in SENTENCE_RE.findall(text):
if not sentence.strip():
continue
if len(buffer) + len(sentence) <= max_chars:
buffer += sentence
continue
if buffer.strip():
pieces.append(buffer.strip())
if len(sentence) <= max_chars:
buffer = sentence
else:
for start in range(0, len(sentence), max_chars):
pieces.append(sentence[start : start + max_chars].strip())
buffer = ""
if buffer.strip():
pieces.append(buffer.strip())
return [p for p in pieces if p]
def split_markdown(
text: str,
*,
max_chars: int = 600,
overlap: int = 80,
) -> list[ChunkDraft]:
"""返回按顺序排列的切片。
`overlap` 是相邻片之间共享的尾部字数;不想要重叠就传 0。
"""
if not text or not text.strip():
return []
normalized = text.replace("\r\n", "\n").replace("\r", "\n")
blocks: list[tuple[str | None, str]] = []
heading: str | None = None
paragraph: list[str] = []
in_fence = False
def flush() -> None:
if paragraph:
body = "\n".join(paragraph).strip()
if body:
blocks.append((heading, body))
paragraph.clear()
for line in normalized.split("\n"):
if FENCE_RE.match(line):
in_fence = not in_fence
paragraph.append(line)
continue
if not in_fence:
match = HEADING_RE.match(line)
if match:
flush()
heading = match.group(2).strip()
continue
if not line.strip():
flush()
continue
paragraph.append(line)
flush()
chunks: list[ChunkDraft] = []
buffer = ""
buffer_heading: str | None = None
def flush_buffer() -> None:
nonlocal buffer, buffer_heading
if buffer.strip():
chunks.append(ChunkDraft(heading=buffer_heading, content=buffer.strip()))
buffer = ""
for block_heading, body in blocks:
parts = _split_long(body, max_chars) if len(body) > max_chars else [body]
for part in parts:
candidate = f"{buffer}\n\n{part}".strip() if buffer else part
if len(candidate) <= max_chars:
if not buffer:
buffer_heading = block_heading
buffer = candidate
continue
flush_buffer()
# 新片开头带上上一片的尾巴,避免"半句话"被切断后两边都读不通
tail = ""
if overlap > 0 and chunks:
tail = chunks[-1].content[-overlap:]
if "\n" in tail:
tail = tail.split("\n", 1)[-1]
buffer_heading = block_heading
buffer = f"{tail}\n\n{part}".strip() if tail else part
if len(buffer) > max_chars:
# 带尾巴后仍然超长:放弃尾巴,保证不超限
buffer = part
flush_buffer()
return chunks