chore(rag): rebuild script in Python and use biz collection
Switch default knowledge collection back to biz (drop+recreate on rebuild), replace PowerShell rebuild runner with Python, skip README.md imports, and merge duplicate rag keys in application.yml.
This commit is contained in:
@@ -1,6 +1,6 @@
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# 重建 hybrid 知识库(dense + BM25)
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面向当前 `knowledge_base/` 目录文档,清空并重建 `biz_hybrid` collection。
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面向当前 `knowledge_base/` 目录文档,**清空并重建**配置中的 Milvus collection(默认 **`biz`**)。
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## 前提
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@@ -10,7 +10,7 @@
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```yaml
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milvus:
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collection: biz_hybrid
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collection: biz
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retrieval:
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search:
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mode: hybrid
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@@ -18,20 +18,28 @@ knowledge:
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base-path: knowledge_base/
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```
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## 一键脚本
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## 一键脚本(Python)
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在项目根目录执行:
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```powershell
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.\scripts\rebuild-hybrid-knowledge.ps1 -Confirm REBUILD
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```bash
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python scripts/rebuild_hybrid_knowledge.py --confirm REBUILD
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```
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指定服务地址:
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```powershell
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.\scripts\rebuild-hybrid-knowledge.ps1 -BaseUrl http://127.0.0.1:9900 -Confirm REBUILD
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```bash
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python scripts/rebuild_hybrid_knowledge.py --base-url http://127.0.0.1:9900 --confirm REBUILD
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```
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跳过前后 stats:
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```bash
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python scripts/rebuild_hybrid_knowledge.py --confirm REBUILD --skip-stats
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```
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依赖:Python 3.9+ 标准库即可(无需 pip 包)。
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## 脚本会做什么
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| 步骤 | 动作 |
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@@ -43,10 +51,12 @@ knowledge:
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服务端 `rebuild-hybrid` 内部顺序:
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1. **Drop + recreate** Milvus collection(`milvus.collection`,默认 `biz_hybrid`)
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1. **Drop + recreate** Milvus collection(`milvus.collection`,默认 `biz`)
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- 原有向量数据会被删除
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- 按 dense + BM25 schema 重建
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2. **清空** MySQL `api_document`
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3. **清空** 内存 L0 索引
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4. **扫描** `knowledge_base/**/*.md` 并 `force` 全量导入
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4. **扫描** `knowledge_base/**/*.md`(跳过 `README.md`)并 force 全量导入
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- 写 MySQL 元数据
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- 切片
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- 写 dense 向量 + BM25 `search_text`
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@@ -54,17 +64,16 @@ knowledge:
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## 不会做什么
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- **不会**删除旧 collection `biz`(需你在 Zilliz 控制台自行决定是否删)
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- **不会**动 `knowledge_base/` 源文件
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- **不会**在未传 `confirm=REBUILD` 时执行
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- **不会**在未传 `--confirm REBUILD` 时执行
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## 手动 curl 等价命令
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```bash
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# 重建(危险)
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# 重建(危险:会清空 biz collection + api_document)
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curl -X POST "http://localhost:9900/api/knowledge/rebuild-hybrid?confirm=REBUILD"
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# 仅增量/强制导入(不 drop collection)
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# 仅强制导入(不 drop collection)
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curl -X POST "http://localhost:9900/api/knowledge/init?force=true"
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# 统计
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@@ -78,8 +87,8 @@ curl "http://localhost:9900/api/knowledge/stats"
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```json
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{
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"success": true,
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"collection": "biz_hybrid",
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"inserted": <大于0>,
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"collection": "biz",
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"inserted": 15,
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"failed": 0,
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"milvus": { "recreated": true, "loaded": true }
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}
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@@ -0,0 +1,176 @@
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#!/usr/bin/env python3
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"""Rebuild knowledge into the configured Milvus collection (default: biz).
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Clears:
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- milvus.collection (drop + recreate dense+BM25 schema)
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- MySQL api_document
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- in-memory L0 index
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Then force-imports all markdown under server-side knowledge.base-path
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(default: knowledge_base/).
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Usage:
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# start Spring Boot first, then:
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python scripts/rebuild_hybrid_knowledge.py --confirm REBUILD
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python scripts/rebuild_hybrid_knowledge.py --base-url http://127.0.0.1:9900 --confirm REBUILD
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"""
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from __future__ import annotations
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import argparse
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import json
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import sys
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import urllib.error
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import urllib.request
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from typing import Any
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DEFAULT_BASE_URL = "http://localhost:9900"
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def http_json(method: str, url: str, timeout: float = 3600.0) -> tuple[int, Any]:
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req = urllib.request.Request(url=url, method=method.upper())
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req.add_header("Accept", "application/json")
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try:
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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raw = resp.read().decode("utf-8", errors="replace")
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status = getattr(resp, "status", 200)
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if not raw.strip():
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return status, None
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return status, json.loads(raw)
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except urllib.error.HTTPError as exc:
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raw = exc.read().decode("utf-8", errors="replace")
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body: Any
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try:
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body = json.loads(raw) if raw.strip() else None
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except json.JSONDecodeError:
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body = raw
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raise RuntimeError(f"HTTP {method} {url} failed status={exc.code}: {body}") from exc
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except urllib.error.URLError as exc:
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raise RuntimeError(f"HTTP {method} {url} failed: {exc}") from exc
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def pretty(obj: Any) -> str:
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return json.dumps(obj, ensure_ascii=False, indent=2)
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def step(title: str) -> None:
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print()
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print(f"==> {title}")
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def main(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(
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description="Drop/recreate milvus.collection (default biz), clear MySQL api_document + L0, "
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"and reimport knowledge_base markdown into dense+BM25."
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)
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parser.add_argument(
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"--base-url",
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default=DEFAULT_BASE_URL,
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help=f"Service base URL (default: {DEFAULT_BASE_URL})",
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)
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parser.add_argument(
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"--confirm",
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required=True,
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choices=["REBUILD"],
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help="Must be REBUILD to execute destructive rebuild",
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)
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parser.add_argument(
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"--skip-stats",
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action="store_true",
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help="Skip before/after /api/knowledge/stats",
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)
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parser.add_argument(
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"--timeout",
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type=float,
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default=7200.0,
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help="Rebuild request timeout seconds (default: 7200)",
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)
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args = parser.parse_args(argv)
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base_url = args.base_url.rstrip("/")
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print("Hybrid knowledge rebuild")
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print(f" BaseUrl : {base_url}")
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print(f" Confirm : {args.confirm}")
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print(" Source : knowledge_base/ (server-side knowledge.base-path)")
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print()
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print("This will DESTROY data in:")
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print(" - Milvus collection milvus.collection (default: biz)")
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print(" - MySQL table api_document")
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print(" - In-memory L0 knowledge index")
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print("Then re-import all markdown under knowledge_base.")
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print()
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# 1) health
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step("Check service health")
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try:
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status, body = http_json("GET", f"{base_url}/milvus/health", timeout=30)
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print(f" milvus health status={status}")
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print(pretty(body))
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except Exception as exc: # noqa: BLE001 - ops script should continue on soft health failure
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print(f" WARN: /milvus/health failed: {exc}")
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print(" Continue if app is up but milvus health endpoint has issues.")
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# 2) stats before
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if not args.skip_stats:
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step("Knowledge stats (before)")
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try:
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_, body = http_json("GET", f"{base_url}/api/knowledge/stats", timeout=30)
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print(pretty(body))
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except Exception as exc: # noqa: BLE001
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print(f" WARN: stats before failed: {exc}")
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# 3) rebuild
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step("POST /api/knowledge/rebuild-hybrid?confirm=REBUILD")
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rebuild_url = f"{base_url}/api/knowledge/rebuild-hybrid?confirm={args.confirm}"
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try:
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status, body = http_json("POST", rebuild_url, timeout=args.timeout)
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except RuntimeError as exc:
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print(str(exc))
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return 1
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print(f" HTTP {status}")
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print(pretty(body))
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if not isinstance(body, dict):
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print("Unexpected rebuild response type", file=sys.stderr)
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return 1
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inserted = int(body.get("inserted") or 0)
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failed = int(body.get("failed") or 0)
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success = bool(body.get("success"))
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if not success:
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if inserted <= 0:
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print()
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print("Rebuild reported failure and inserted=0. Inspect details above.", file=sys.stderr)
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return 2
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print()
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print(f"Rebuild finished with failed={failed} inserted={inserted}. Review details.")
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else:
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print()
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print(f"Rebuild OK: inserted={inserted}, failed={failed}")
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# 4) stats after
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if not args.skip_stats:
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step("Knowledge stats (after)")
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try:
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_, body = http_json("GET", f"{base_url}/api/knowledge/stats", timeout=30)
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print(pretty(body))
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except Exception as exc: # noqa: BLE001
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print(f" WARN: stats after failed: {exc}")
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print()
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print("Done.")
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print("Next:")
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print(" 1) Ensure application.yml has:")
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print(" milvus.collection: biz")
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print(" retrieval.search.mode: hybrid")
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print(" 2) Smoke test lookup_knowledge / chat with a known doc query")
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return 0 if success or inserted > 0 else 2
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if __name__ == "__main__":
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raise SystemExit(main())
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@@ -8,14 +8,15 @@ public class MilvusConstants {
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public static final String MILVUS_DB_NAME = "default";
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/**
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* Legacy collection name (pre hybrid). Knowledge path uses milvus.collection (default biz_hybrid).
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* Default knowledge collection name (dense + BM25).
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* Overridable via {@code milvus.collection}.
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*/
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public static final String MILVUS_COLLECTION_NAME = "biz";
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/**
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* Default hybrid dense+BM25 collection.
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* Alias kept for readability in hybrid-related code.
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*/
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public static final String MILVUS_HYBRID_COLLECTION_NAME = "biz_hybrid";
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public static final String MILVUS_HYBRID_COLLECTION_NAME = MILVUS_COLLECTION_NAME;
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/**
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* 向量维度(豆包 embedding 模型的维度)
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@@ -67,7 +67,7 @@ public class KnowledgeBaseController {
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* 清空 hybrid collection + MySQL api_document + L0 内存索引,
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* 再从 knowledge_base 全量重建 dense+BM25 索引。
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*
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* <p>危险操作:会删除 {@code milvus.collection}(默认 biz_hybrid)与文档元数据表数据。
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* <p>危险操作:会删除 {@code milvus.collection}(默认 {@code biz})与文档元数据表数据。
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* 需要显式 confirm=REBUILD。</p>
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*/
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@PostMapping("/rebuild-hybrid")
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@@ -57,7 +57,7 @@ public class KnowledgeBaseInitService {
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/**
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* Drop hybrid collection, clear MySQL api_document + L0 memory index,
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* then force-import all markdown under knowledge.base-path into biz_hybrid.
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* then force-import all markdown under knowledge.base-path into milvus.collection (default biz).
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*/
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@Transactional(rollbackFor = Exception.class)
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public RebuildResult rebuildHybridFromKnowledgeBase() {
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@@ -82,6 +82,8 @@ public class KnowledgeBaseInitService {
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rebuild.setInit(init);
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rebuild.setL0IndexSizeAfterInit(knowledgeIndexService.getIndexSize());
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rebuild.setMysqlDocumentsAfterInit(apiDocumentRepository.count());
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// Success when at least one doc indexed and no hard failures.
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// README-like docs are skipped by scanner; remaining failures still mark unsuccessful.
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rebuild.setSuccess(init.getFailed() == 0 && init.getInserted() > 0);
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logger.info("Hybrid knowledge rebuild finished: success={}, inserted={}, failed={}",
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rebuild.isSuccess(), init.getInserted(), init.getFailed());
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@@ -257,7 +259,11 @@ public class KnowledgeBaseInitService {
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Files.walkFileTree(baseDir, new SimpleFileVisitor<Path>() {
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@Override
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public FileVisitResult visitFile(Path file, BasicFileAttributes attrs) {
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if (file.toString().endsWith(".md")) {
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String name = file.getFileName() == null ? "" : file.getFileName().toString();
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// Import content docs only; skip README/index markdown without frontmatter.
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if (name.endsWith(".md")
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&& !name.equalsIgnoreCase("README.md")
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&& !name.equalsIgnoreCase("readme.md")) {
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files.add(file);
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}
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return FileVisitResult.CONTINUE;
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@@ -61,8 +61,8 @@ public class MilvusHybridKnowledgeStore {
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private final MilvusProperties milvusProperties;
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@Value("${milvus.collection:biz_hybrid}")
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private String collectionName = "biz_hybrid";
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@Value("${milvus.collection:biz}")
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private String collectionName = "biz";
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@Value("${retrieval.hybrid.rrf-k:60}")
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private int rrfK = 60;
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@@ -144,8 +144,8 @@ public class MilvusHybridKnowledgeStore {
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}
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/**
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* Drop the hybrid collection (if present) and recreate empty dense+BM25 schema.
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* Used by knowledge rebuild scripts. Does not touch legacy {@code biz} collection.
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* Drop the configured knowledge collection (if present) and recreate empty dense+BM25 schema.
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* Used by knowledge rebuild scripts. Existing vectors in this collection are destroyed.
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*/
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public synchronized Map<String, Object> dropAndRecreateCollection() {
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Map<String, Object> result = new LinkedHashMap<>();
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@@ -25,8 +25,8 @@ milvus:
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token: ${MILVUS_TOKEN}
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secure: true
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vector-dim: 1024 # BGE-M3 = 1024,换模型时同步改
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# dense+BM25 hybrid collection (requires reindex; legacy "biz" is not used by knowledge path)
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collection: biz_hybrid
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# knowledge collection (drop+recreate on rebuild; dense+BM25 schema)
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collection: biz
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# =====================================================
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# 模型路由配置
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@@ -158,7 +158,10 @@ document:
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# RAG 配置
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rag:
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top-k: 3 # 检索返回的最相似文档数量
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top-k: 3 # legacy fallback when retrieve-k/return-n absent
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retrieve-k: 20
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return-n: 5
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max-chunks-per-document: 2
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sidecar:
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spring-ai:
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enabled: false
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@@ -176,12 +179,6 @@ retrieval:
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highly-relevant-threshold: 0.75 # similarity >= 0.75 → HIGHLY_RELEVANT
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reference-threshold: 0.5 # similarity >= 0.5 → REFERENCE
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# RAG 召回宽度(Delivery 1)
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rag:
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retrieve-k: 20
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return-n: 5
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max-chunks-per-document: 2
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# Prometheus 配置
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prometheus:
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base-url: http://localhost:9090
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@@ -23,7 +23,7 @@ class VectorSearchServiceTest {
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VectorSearchService.SearchResult expected = result("doc-1", 0.2f);
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when(store.searchDense(eq("query"), eq(List.of(0.1f, 0.2f)), eq(3), isNull()))
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.thenReturn(List.of(expected));
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when(store.collectionName()).thenReturn("biz_hybrid");
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when(store.collectionName()).thenReturn("biz");
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VectorSearchService service = new VectorSearchService();
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ReflectionTestUtils.setField(service, "knowledgeStore", store);
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@@ -44,7 +44,7 @@ class VectorSearchServiceTest {
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VectorSearchService.SearchResult expected = result("doc-h", 0.4f);
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when(store.searchHybrid(eq("pool"), eq(List.of(0.3f)), eq(5), eq("mysql")))
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.thenReturn(List.of(expected));
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when(store.collectionName()).thenReturn("biz_hybrid");
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when(store.collectionName()).thenReturn("biz");
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VectorSearchService service = new VectorSearchService();
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ReflectionTestUtils.setField(service, "knowledgeStore", store);
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Reference in New Issue
Block a user