T4: AnySearch 改为全局固定配置 + 修复外部服务弹窗 UI

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QihuAI Design committed 2026-07-21 19:27:27 +08:00
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@@ -1,118 +1,179 @@
"""
AnySearch 联网检索客户端
======================
调用 AnySearch 网页/领域搜索 API (https://api.anysearch.com/v1/search),
为 AI 聊天注入实时联网检索结果,亦可被后端端点 / Agent 工具复用。
约束:平台容器存在智能路由代理,对外部 API 偶发重置;本客户端使用
trust_env=False 直连 (等价于 NO_PROXY=api.anysearch.com),规避代理重置。
失败一律返回空/降级结果,保证聊天链路不中断。
"""
import logging
from typing import List, Dict, Optional
logger = logging.getLogger("aiflow.anysearch")
DEFAULT_API_URL = "https://api.anysearch.com/v1/search"
DEFAULT_ZONE = "cn"
REQUEST_TIMEOUT = 8.0
async def anysearch_search(
api_key: str,
api_url: str = DEFAULT_API_URL,
query: str = "",
top_k: int = 5,
zone: str = DEFAULT_ZONE,
freshness: Optional[str] = None,
timeout: float = REQUEST_TIMEOUT,
) -> List[Dict]:
"""调用 AnySearch 搜索,返回结构化结果列表。
每个结果:
{
"content": snippet 摘要文本,
"score": 0.9..0.5 递减,
"source": "web_anysearch",
"metadata": {"url", "title", "source_domain", "zone"}
}
失败时返回 [] (不抛异常)。
"""
if not api_key:
return []
try:
import httpx
except ImportError:
logger.warning("httpx not available for AnySearch")
return []
payload = {
"query": query,
"zone": zone,
"top_k": max(1, min(int(top_k), 20)),
}
if freshness:
payload["freshness"] = freshness
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}",
}
try:
# trust_env=False -> 忽略容器内 HTTP(S)_PROXY,直连 api.anysearch.com
async with httpx.AsyncClient(trust_env=False, timeout=timeout) as client:
resp = await client.post(api_url, json=payload, headers=headers)
if resp.status_code != 200:
logger.warning(f"AnySearch HTTP {resp.status_code}: {resp.text[:200]}")
return []
data = resp.json()
if data.get("code") != 0:
logger.warning(f"AnySearch biz error: {data.get('message')}")
return []
results = (data.get("data") or {}).get("results") or []
hits = []
for idx, r in enumerate(results[:top_k]):
title = r.get("title", "") or ""
url = r.get("url", "") or ""
snippet = r.get("snippet") or r.get("content") or ""
if not snippet and not title:
continue
try:
from urllib.parse import urlparse
domain = urlparse(url).netloc
except Exception:
domain = ""
hits.append({
"content": snippet,
"score": max(0.4, 0.9 - idx * 0.08),
"source": "web_anysearch",
"metadata": {
"url": url,
"title": title,
"source_domain": domain,
"zone": zone,
},
})
return hits
except Exception as e:
logger.warning(f"AnySearch search failed: {e}")
return []
async def anysearch_health(api_key: str, api_url: str = DEFAULT_API_URL, timeout: float = REQUEST_TIMEOUT) -> Dict:
"""连通性探测:返回 {"status": "connected"/"disconnected", "detail": ...}。"""
if not api_key:
return {"status": "disconnected", "detail": "未配置 API Key", "connected": False, "usable": False}
try:
import httpx
async with httpx.AsyncClient(trust_env=False, timeout=timeout) as client:
resp = await client.post(
api_url,
json={"query": "ping", "zone": DEFAULT_ZONE, "top_k": 1},
headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
)
if resp.status_code == 200:
return {"status": "connected", "detail": "AnySearch 连接正常", "connected": True, "usable": True}
return {"status": "error", "detail": f"HTTP {resp.status_code}", "connected": False, "usable": False}
except Exception as e:
return {"status": "error", "detail": str(e)[:200], "connected": False, "usable": False}
"""
AnySearch 联网检索客户端
======================
调用 AnySearch 网页/领域搜索 API (https://api.anysearch.com/v1/search),
为 AI 聊天注入实时联网检索结果,亦可被后端端点 / Agent 工具复用。
约束:平台容器存在智能路由代理,对外部 API 偶发重置;本客户端使用
trust_env=False 直连 (等价于 NO_PROXY=api.anysearch.com),规避代理重置。
失败一律返回空/降级结果,保证聊天链路不中断。
"""
import json
import logging
from typing import List, Dict, Optional
logger = logging.getLogger("aiflow.anysearch")
DEFAULT_API_URL = "https://api.anysearch.com/v1/search"
DEFAULT_ZONE = "cn"
REQUEST_TIMEOUT = 8.0
async def anysearch_search(
api_key: str,
api_url: str = DEFAULT_API_URL,
query: str = "",
top_k: int = 5,
zone: str = DEFAULT_ZONE,
freshness: Optional[str] = None,
timeout: float = REQUEST_TIMEOUT,
) -> List[Dict]:
"""调用 AnySearch 搜索,返回结构化结果列表。
每个结果:
{
"content": snippet 摘要文本,
"score": 0.9..0.5 递减,
"source": "web_anysearch",
"metadata": {"url", "title", "source_domain", "zone"}
}
失败时返回 [] (不抛异常)。
"""
if not api_key:
return []
try:
import httpx
except ImportError:
logger.warning("httpx not available for AnySearch")
return []
payload = {
"query": query,
"zone": zone,
"top_k": max(1, min(int(top_k), 20)),
}
if freshness:
payload["freshness"] = freshness
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}",
}
try:
# trust_env=False -> 忽略容器内 HTTP(S)_PROXY,直连 api.anysearch.com
async with httpx.AsyncClient(trust_env=False, timeout=timeout) as client:
resp = await client.post(api_url, json=payload, headers=headers)
if resp.status_code != 200:
logger.warning(f"AnySearch HTTP {resp.status_code}: {resp.text[:200]}")
return []
data = resp.json()
if data.get("code") != 0:
logger.warning(f"AnySearch biz error: {data.get('message')}")
return []
results = (data.get("data") or {}).get("results") or []
hits = []
for idx, r in enumerate(results[:top_k]):
title = r.get("title", "") or ""
url = r.get("url", "") or ""
snippet = r.get("snippet") or r.get("content") or ""
if not snippet and not title:
continue
try:
from urllib.parse import urlparse
domain = urlparse(url).netloc
except Exception:
domain = ""
hits.append({
"content": snippet,
"score": max(0.4, 0.9 - idx * 0.08),
"source": "web_anysearch",
"metadata": {
"url": url,
"title": title,
"source_domain": domain,
"zone": zone,
},
})
return hits
except Exception as e:
logger.warning(f"AnySearch search failed: {e}")
return []
async def anysearch_health(api_key: str, api_url: str = DEFAULT_API_URL, timeout: float = REQUEST_TIMEOUT) -> Dict:
"""连通性探测:返回 {"status": "connected"/"disconnected", "detail": ...}。"""
if not api_key:
return {"status": "disconnected", "detail": "未配置 API Key", "connected": False, "usable": False}
try:
import httpx
async with httpx.AsyncClient(trust_env=False, timeout=timeout) as client:
resp = await client.post(
api_url,
json={"query": "ping", "zone": DEFAULT_ZONE, "top_k": 1},
headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
)
if resp.status_code == 200:
return {"status": "connected", "detail": "AnySearch 连接正常", "connected": True, "usable": True}
return {"status": "error", "detail": f"HTTP {resp.status_code}", "connected": False, "usable": False}
except Exception as e:
return {"status": "error", "detail": str(e)[:200], "connected": False, "usable": False}
def load_anysearch_config(db_session) -> Dict:
"""从 site_settings 读取全局 AnySearch 配置(失败返回空字典)。"""
if db_session is None:
return {}
try:
from app.models import SiteSetting
row = db_session.query(SiteSetting).filter(SiteSetting.key == "anysearch_config").first()
if not row or not row.value:
return {}
cfg = json.loads(row.value)
if not isinstance(cfg, dict):
return {}
return cfg
except Exception as e:
logger.warning(f"load_anysearch_config failed: {e}")
return {}
def save_anysearch_config(
db_session,
api_key: str,
is_enabled: bool = True,
api_url: str = DEFAULT_API_URL,
zone: str = DEFAULT_ZONE,
freshness: Optional[str] = None,
top_k: int = 5,
) -> bool:
"""保存/更新全局 AnySearch 配置到 site_settings。"""
if db_session is None:
return False
try:
from app.models import SiteSetting
from datetime import datetime
cfg = {
"api_key": api_key.strip(),
"is_enabled": bool(is_enabled),
"api_url": api_url.strip() or DEFAULT_API_URL,
"zone": zone or DEFAULT_ZONE,
"freshness": freshness,
"top_k": max(1, min(int(top_k), 20)),
}
row = db_session.query(SiteSetting).filter(SiteSetting.key == "anysearch_config").first()
if row:
row.value = json.dumps(cfg, ensure_ascii=False)
row.updated_at = datetime.now()
else:
from app.models import gen_uuid
row = SiteSetting(id=gen_uuid(), key="anysearch_config", value=json.dumps(cfg, ensure_ascii=False))
db_session.add(row)
db_session.commit()
return True
except Exception as e:
logger.warning(f"save_anysearch_config failed: {e}")
try:
db_session.rollback()
except Exception:
pass
return False
@@ -32,12 +32,17 @@ logger = logging.getLogger("aiflow")
class ExternalServiceConfig(BaseModel):
name: str = Field(min_length=1, max_length=200)
service_type: str = Field(..., description="dify / anysearch")
service_type: str = Field(..., description="dify")
api_url: str = Field(min_length=1, max_length=500)
api_key: Optional[str] = None
config: Optional[Dict[str, Any]] = None
class AnySearchConfig(BaseModel):
api_key: str = Field(min_length=1, max_length=500)
is_enabled: bool = True
class ExternalServiceUpdate(BaseModel):
name: Optional[str] = None
api_url: Optional[str] = None
@@ -739,14 +744,11 @@ def _get_external_services_table(db: Session):
async def _check_service_connection(service_type: str, api_url: str, api_key: str) -> dict:
"""测试外部知识库服务连接状态(支持 Dify / AnySearch)"""
"""测试外部知识库服务连接状态(支持 Dify)"""
try:
if service_type == "dify":
from ...dify_kb import dify_test
return dify_test(api_url, api_key)
if service_type == "anysearch":
from ...anysearch_client import anysearch_health
return await anysearch_health(api_key or "", api_url or "https://api.anysearch.com/v1/search")
else:
# 未知类型(如历史遗留的 fastgpt/ragflow),按通用方式探测可达性
headers = {}
@@ -784,7 +786,6 @@ async def list_external_services(
"items": services,
"supported_types": [
{"type": "dify", "name": "Dify", "description": "LLM 应用开发平台,内置知识库管理(RAG)"},
{"type": "anysearch", "name": "AnySearch 联网检索", "description": "实时联网网页/领域搜索,为 AI 聊天注入最新网络信息"},
]
}
}
@@ -797,8 +798,8 @@ async def create_external_service(
db: Session = Depends(get_db),
):
"""创建新的外部知识库服务连接配置"""
# 验证服务类型(当前仅支持 Dify)
valid_types = ["dify", "anysearch"]
# 验证服务类型(当前仅支持 Dify;AnySearch 已改为全局固定配置)
valid_types = ["dify"]
if req.service_type not in valid_types:
raise HTTPException(status_code=400, detail=f"不支持的服务类型: {req.service_type}")
@@ -881,6 +882,54 @@ async def create_external_service(
}
@router.get("/anysearch/config", summary="获取 AnySearch 全局配置")
async def get_anysearch_config(
admin_user=Depends(get_current_admin),
db: Session = Depends(get_db),
):
"""读取全局 AnySearch 联网检索配置(site_settings 表)。"""
from ...anysearch_client import load_anysearch_config, DEFAULT_API_URL
cfg = load_anysearch_config(db)
return {
"code": 0,
"data": {
"api_key": cfg.get("api_key", ""),
"is_enabled": cfg.get("is_enabled", False),
"api_url": cfg.get("api_url") or DEFAULT_API_URL,
"zone": cfg.get("zone", "cn"),
"freshness": cfg.get("freshness"),
"top_k": cfg.get("top_k", 5),
},
}
@router.post("/anysearch/config", summary="保存 AnySearch 全局配置")
async def save_anysearch_config_endpoint(
req: AnySearchConfig,
admin_user=Depends(get_current_admin),
db: Session = Depends(get_db),
):
"""保存全局 AnySearch 联网检索配置,并测试连通性。"""
from ...anysearch_client import save_anysearch_config, anysearch_health, DEFAULT_API_URL
ok = save_anysearch_config(db, api_key=req.api_key, is_enabled=req.is_enabled, api_url=DEFAULT_API_URL)
if not ok:
raise HTTPException(status_code=500, detail="保存 AnySearch 配置失败")
health = await anysearch_health(req.api_key or "", DEFAULT_API_URL)
LogService.log_audit(
admin_id=admin_user.id,
admin_name=admin_user.username,
action="update_anysearch_config",
target_type="site_setting",
target_id="anysearch_config",
detail=f"更新 AnySearch 全局配置: enabled={req.is_enabled}, connected={health.get('connected')}",
)
return {
"code": 0,
"message": "AnySearch 配置已保存",
"data": {"connection": health},
}
@router.put("/external/services/{service_id}", summary="更新外部知识库服务配置")
async def update_external_service(
service_id: str,
+11 -20
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@@ -1496,27 +1496,18 @@ async def web_search_endpoint(
):
"""联网检索(AnySearch):返回实时网页结果,供前端 / 智能体引用。"""
try:
from sqlalchemy import text
import json as _json
from ..anysearch_client import anysearch_search
row = db.execute(text(
"SELECT api_key, api_url, config FROM external_kb_services "
"WHERE service_type='anysearch' AND is_enabled=1 LIMIT 1"
)).fetchone()
if not row:
from ..anysearch_client import anysearch_search, load_anysearch_config
cfg = load_anysearch_config(db)
if not cfg.get("is_enabled") or not cfg.get("api_key"):
return {"code": 0, "data": {"results": [], "enabled": False, "message": "未配置 AnySearch 联网检索服务"}}
api_key = row[0] or ""
api_url = row[1] or "https://api.anysearch.com/v1/search"
cfg = row[2]
if isinstance(cfg, str):
try:
cfg = _json.loads(cfg)
except Exception:
cfg = {}
cfg = cfg or {}
zone = cfg.get("zone", "cn")
freshness = cfg.get("freshness")
hits = await anysearch_search(api_key, api_url, req.query, top_k=req.top_k, zone=zone, freshness=freshness)
hits = await anysearch_search(
cfg["api_key"],
cfg.get("api_url") or "https://api.anysearch.com/v1/search",
req.query,
top_k=req.top_k,
zone=cfg.get("zone", "cn"),
freshness=cfg.get("freshness"),
)
return {"code": 0, "data": {"results": hits, "enabled": True}}
except Exception as e:
logger.warning(f"web-search endpoint failed: {e}")
+271 -262
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@@ -1,262 +1,271 @@
"""
知识库路由层
============
将检索请求智能路由到本地BM25、向量检索、或外部KB服务(Dify)。
根据知识库配置自动选择最优检索策略。
使用方式:
from app.kb_router import kb_router_search
results = await kb_router_search(query, kb_id, top_k=5)
"""
import logging
from typing import List, Dict, Optional
logger = logging.getLogger("aiflow.kb_router")
async def _get_external_services(db_session, enabled_only: bool = True) -> List[Dict]:
"""获取已配置的外部KB服务(仅 dify)"""
from sqlalchemy import text
try:
query = "SELECT * FROM external_kb_services"
if enabled_only:
query += " WHERE is_enabled = 1"
query += " ORDER BY created_at DESC"
result = db_session.execute(text(query))
columns = result.keys()
return [dict(zip(columns, row)) for row in result.fetchall()]
except Exception as e:
logger.error(f"Failed to get external services: {e}")
return []
async def _search_dify(service: Dict, query: str, top_k: int = 5) -> List[Dict]:
"""检索 Dify 知识库(走 app.dify_kb 客户端)"""
try:
from app.dify_kb import dify_retrieve
api_url = service.get("api_url", "")
api_key = service.get("api_key", "")
dataset_name = None
cfg = service.get("config")
if isinstance(cfg, str):
try:
import json
cfg = json.loads(cfg)
except Exception:
cfg = None
if isinstance(cfg, dict):
dataset_name = cfg.get("dataset_name")
hits = dify_retrieve(api_url, api_key, query, top_k=top_k, dataset_name=dataset_name)
return hits
except Exception as e:
logger.error(f"Dify search error: {e}")
return []
async def _search_external(service: Dict, query: str, top_k: int = 5) -> List[Dict]:
"""路由到对应的外部KB服务(当前仅支持 dify)"""
service_type = service.get("service_type", "")
if service_type == "dify":
return await _search_dify(service, query, top_k)
else:
logger.warning(f"Unknown external KB type: {service_type}")
return []
async def _get_web_services(db_session, enabled_only: bool = True) -> List[Dict]:
"""获取已启用的 AnySearch 联网检索服务配置。"""
from sqlalchemy import text
try:
query = "SELECT * FROM external_kb_services WHERE service_type='anysearch'"
if enabled_only:
query += " AND is_enabled = 1"
query += " ORDER BY created_at DESC"
result = db_session.execute(text(query))
columns = result.keys()
return [dict(zip(columns, row)) for row in result.fetchall()]
except Exception as e:
logger.error(f"Failed to get AnySearch services: {e}")
return []
async def _search_anysearch(service: Dict, query: str, top_k: int = 5) -> List[Dict]:
"""调用 AnySearch 联网检索(走 app.anysearch_client)。"""
try:
from app.anysearch_client import anysearch_search
api_key = service.get("api_key", "")
api_url = service.get("api_url") or "https://api.anysearch.com/v1/search"
cfg = service.get("config")
if isinstance(cfg, str):
try:
import json
cfg = json.loads(cfg)
except Exception:
cfg = None
cfg = cfg or {}
zone = cfg.get("zone", "cn")
freshness = cfg.get("freshness")
k = int(cfg.get("top_k", top_k))
return await anysearch_search(api_key, api_url, query, top_k=k, zone=zone, freshness=freshness)
except Exception as e:
logger.error(f"AnySearch search error: {e}")
return []
async def kb_router_search(
query: str,
kb_id: Optional[str] = None,
kb_ids: Optional[List[str]] = None,
top_k: int = 5,
bm25_results: Optional[List[Dict]] = None,
db_session=None,
use_vector: bool = True,
use_external: bool = True,
use_tree: bool = True,
use_web: bool = False,
) -> List[Dict]:
"""
知识库路由层 — 混合检索
检索策略:
1. 本地 BM25 检索 (MySQL, 已有)
2. 向量语义检索 (PostgreSQL+pgvector, 新增)
3. 结构化分片段检索 (TreeSearch, 新增: 知识库目录树 + chunk 级精准命中)
4. 外部KB检索 (Dify, 按配置)
5. 联网检索 (AnySearch, 可选 use_web)
融合方式: Reciprocal Rank Fusion (RRF)
Args:
query: 查询文本
kb_id: 知识库ID
top_k: 返回结果数
bm25_results: BM25检索结果
db_session: 数据库会话(用于获取外部KB配置与分片段检索)
use_vector: 是否使用向量检索
use_external: 是否使用外部KB检索
use_tree: 是否使用 TreeSearch 结构化分片段检索
use_web: 是否使用 AnySearch 联网检索
Returns:
融合后的检索结果列表
"""
all_results = []
# 1. BM25 结果
if bm25_results:
for rank, item in enumerate(bm25_results):
all_results.append({
"content": item.get("content", item.get("text", "")),
"score": item.get("score", 1.0 / (60 + rank + 1)),
"source": "local_bm25",
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
# 2. 向量检索
if use_vector:
try:
from app.pgvector_search import vector_search
kb_targets = kb_ids if kb_ids else ([kb_id] if kb_id else [None])
vec_results = []
for _kid in kb_targets:
try:
vec_results.extend(await vector_search(query, _kid, top_k))
except Exception as e:
logger.warning(f"Vector search failed for kb={_kid}: {e}")
for rank, item in enumerate(vec_results):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.5),
"source": "vector_pg",
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
except ImportError:
logger.debug("pgvector_search not available, skipping vector search")
except Exception as e:
logger.warning(f"Vector search failed: {e}")
# 2.5 结构化分片段检索 (TreeSearch, Level 2)
if use_tree and db_session is not None:
try:
from app.tree_search import tree_search
kb_targets = kb_ids if kb_ids else ([kb_id] if kb_id else None)
tree_hits = await tree_search(
db_session, query, kb_ids=kb_targets, top_k=top_k, mode="hybrid",
)
for rank, item in enumerate(tree_hits):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.5),
"source": "tree_chunk",
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
except Exception as e:
logger.warning(f"TreeSearch failed: {e}")
# 3. 外部KB检索 (Dify)
if use_external and db_session:
services = await _get_external_services(db_session)
for service in services:
if service.get("status") == "connected":
ext_results = await _search_external(service, query, top_k)
for rank, item in enumerate(ext_results):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.5),
"source": item.get("source", "external_dify"),
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
# 4. 联网检索 (AnySearch, 可选)
if use_web and db_session is not None:
try:
web_services = await _get_web_services(db_session)
for svc in web_services:
web_hits = await _search_anysearch(svc, query, top_k)
for rank, item in enumerate(web_hits):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.6),
"source": item.get("source", "web_anysearch"),
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
except Exception as e:
logger.warning(f"AnySearch web search failed: {e}")
if not all_results:
return []
# RRF 融合
rrf_k = 60
score_map = {}
for item in all_results:
content_key = item["content"][:200] # 用内容前200字符作为去重键
rrf_score = 1.0 / (rrf_k + item.get("rank", 1))
if content_key in score_map:
score_map[content_key]["score"] += rrf_score
score_map[content_key]["sources"].append(item["source"])
else:
score_map[content_key] = {
"content": item["content"],
"score": rrf_score,
"sources": [item["source"]],
"metadata": item.get("metadata", {}),
}
# 按融合分数排序
merged = sorted(score_map.values(), key=lambda x: x["score"], reverse=True)
# 标准化分数到 0-1
if merged:
max_score = merged[0]["score"]
for item in merged:
item["score"] = item["score"] / max_score if max_score > 0 else 0
item["sources"] = list(set(item["sources"]))
return merged[:top_k]
"""
知识库路由层
============
将检索请求智能路由到本地BM25、向量检索、或外部KB服务(Dify)。
根据知识库配置自动选择最优检索策略。
使用方式:
from app.kb_router import kb_router_search
results = await kb_router_search(query, kb_id, top_k=5)
"""
import logging
from typing import List, Dict, Optional
logger = logging.getLogger("aiflow.kb_router")
async def _get_external_services(db_session, enabled_only: bool = True) -> List[Dict]:
"""获取已配置的外部KB服务(仅 dify)"""
from sqlalchemy import text
try:
query = "SELECT * FROM external_kb_services"
if enabled_only:
query += " WHERE is_enabled = 1"
query += " ORDER BY created_at DESC"
result = db_session.execute(text(query))
columns = result.keys()
return [dict(zip(columns, row)) for row in result.fetchall()]
except Exception as e:
logger.error(f"Failed to get external services: {e}")
return []
async def _search_dify(service: Dict, query: str, top_k: int = 5) -> List[Dict]:
"""检索 Dify 知识库(走 app.dify_kb 客户端)"""
try:
from app.dify_kb import dify_retrieve
api_url = service.get("api_url", "")
api_key = service.get("api_key", "")
dataset_name = None
cfg = service.get("config")
if isinstance(cfg, str):
try:
import json
cfg = json.loads(cfg)
except Exception:
cfg = None
if isinstance(cfg, dict):
dataset_name = cfg.get("dataset_name")
hits = dify_retrieve(api_url, api_key, query, top_k=top_k, dataset_name=dataset_name)
return hits
except Exception as e:
logger.error(f"Dify search error: {e}")
return []
async def _search_external(service: Dict, query: str, top_k: int = 5) -> List[Dict]:
"""路由到对应的外部KB服务(当前仅支持 dify)"""
service_type = service.get("service_type", "")
if service_type == "dify":
return await _search_dify(service, query, top_k)
else:
logger.warning(f"Unknown external KB type: {service_type}")
return []
async def _get_web_services(db_session, enabled_only: bool = True) -> List[Dict]:
"""获取全局 AnySearch 联网检索配置(从 site_settings 读取)。"""
from app.anysearch_client import load_anysearch_config
cfg = load_anysearch_config(db_session)
if not cfg:
return []
if enabled_only and not cfg.get("is_enabled"):
return []
api_key = cfg.get("api_key", "")
if not api_key:
return []
return [{
"id": "anysearch_global",
"service_type": "anysearch",
"api_key": api_key,
"api_url": cfg.get("api_url") or "https://api.anysearch.com/v1/search",
"config": {
"zone": cfg.get("zone", "cn"),
"freshness": cfg.get("freshness"),
"top_k": cfg.get("top_k", 5),
},
"is_enabled": cfg.get("is_enabled", False),
}]
async def _search_anysearch(service: Dict, query: str, top_k: int = 5) -> List[Dict]:
"""调用 AnySearch 联网检索(走 app.anysearch_client)。"""
try:
from app.anysearch_client import anysearch_search
api_key = service.get("api_key", "")
api_url = service.get("api_url") or "https://api.anysearch.com/v1/search"
cfg = service.get("config")
if isinstance(cfg, str):
try:
import json
cfg = json.loads(cfg)
except Exception:
cfg = None
cfg = cfg or {}
zone = cfg.get("zone", "cn")
freshness = cfg.get("freshness")
k = int(cfg.get("top_k", top_k))
return await anysearch_search(api_key, api_url, query, top_k=k, zone=zone, freshness=freshness)
except Exception as e:
logger.error(f"AnySearch search error: {e}")
return []
async def kb_router_search(
query: str,
kb_id: Optional[str] = None,
kb_ids: Optional[List[str]] = None,
top_k: int = 5,
bm25_results: Optional[List[Dict]] = None,
db_session=None,
use_vector: bool = True,
use_external: bool = True,
use_tree: bool = True,
use_web: bool = False,
) -> List[Dict]:
"""
知识库路由层 — 混合检索
检索策略:
1. 本地 BM25 检索 (MySQL, 已有)
2. 向量语义检索 (PostgreSQL+pgvector, 新增)
3. 结构化分片段检索 (TreeSearch, 新增: 知识库目录树 + chunk 级精准命中)
4. 外部KB检索 (Dify, 按配置)
5. 联网检索 (AnySearch, 可选 use_web)
融合方式: Reciprocal Rank Fusion (RRF)
Args:
query: 查询文本
kb_id: 知识库ID
top_k: 返回结果数
bm25_results: BM25检索结果
db_session: 数据库会话(用于获取外部KB配置与分片段检索)
use_vector: 是否使用向量检索
use_external: 是否使用外部KB检索
use_tree: 是否使用 TreeSearch 结构化分片段检索
use_web: 是否使用 AnySearch 联网检索
Returns:
融合后的检索结果列表
"""
all_results = []
# 1. BM25 结果
if bm25_results:
for rank, item in enumerate(bm25_results):
all_results.append({
"content": item.get("content", item.get("text", "")),
"score": item.get("score", 1.0 / (60 + rank + 1)),
"source": "local_bm25",
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
# 2. 向量检索
if use_vector:
try:
from app.pgvector_search import vector_search
kb_targets = kb_ids if kb_ids else ([kb_id] if kb_id else [None])
vec_results = []
for _kid in kb_targets:
try:
vec_results.extend(await vector_search(query, _kid, top_k))
except Exception as e:
logger.warning(f"Vector search failed for kb={_kid}: {e}")
for rank, item in enumerate(vec_results):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.5),
"source": "vector_pg",
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
except ImportError:
logger.debug("pgvector_search not available, skipping vector search")
except Exception as e:
logger.warning(f"Vector search failed: {e}")
# 2.5 结构化分片段检索 (TreeSearch, Level 2)
if use_tree and db_session is not None:
try:
from app.tree_search import tree_search
kb_targets = kb_ids if kb_ids else ([kb_id] if kb_id else None)
tree_hits = await tree_search(
db_session, query, kb_ids=kb_targets, top_k=top_k, mode="hybrid",
)
for rank, item in enumerate(tree_hits):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.5),
"source": "tree_chunk",
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
except Exception as e:
logger.warning(f"TreeSearch failed: {e}")
# 3. 外部KB检索 (Dify)
if use_external and db_session:
services = await _get_external_services(db_session)
for service in services:
if service.get("status") == "connected":
ext_results = await _search_external(service, query, top_k)
for rank, item in enumerate(ext_results):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.5),
"source": item.get("source", "external_dify"),
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
# 4. 联网检索 (AnySearch, 可选)
if use_web and db_session is not None:
try:
web_services = await _get_web_services(db_session)
for svc in web_services:
web_hits = await _search_anysearch(svc, query, top_k)
for rank, item in enumerate(web_hits):
all_results.append({
"content": item.get("content", ""),
"score": item.get("score", 0.6),
"source": item.get("source", "web_anysearch"),
"rank": rank + 1,
"metadata": item.get("metadata", {}),
})
except Exception as e:
logger.warning(f"AnySearch web search failed: {e}")
if not all_results:
return []
# RRF 融合
rrf_k = 60
score_map = {}
for item in all_results:
content_key = item["content"][:200] # 用内容前200字符作为去重键
rrf_score = 1.0 / (rrf_k + item.get("rank", 1))
if content_key in score_map:
score_map[content_key]["score"] += rrf_score
score_map[content_key]["sources"].append(item["source"])
else:
score_map[content_key] = {
"content": item["content"],
"score": rrf_score,
"sources": [item["source"]],
"metadata": item.get("metadata", {}),
}
# 按融合分数排序
merged = sorted(score_map.values(), key=lambda x: x["score"], reverse=True)
# 标准化分数到 0-1
if merged:
max_score = merged[0]["score"]
for item in merged:
item["score"] = item["score"] / max_score if max_score > 0 else 0
item["sources"] = list(set(item["sources"]))
return merged[:top_k]