升级项目依赖到最新稳定版本

.script/integration_test_compose.yml

@@ -1,6 +1,6 @@
 services:
   elasticsearch:
-    image: docker.elastic.co/elasticsearch/elasticsearch:9.1.3
+    image: docker.elastic.co/elasticsearch/elasticsearch:9.1.5
     environment:
       # 单节点模式配置
       - discovery.type=single-node
@@ -17,7 +17,7 @@ services:
         # 检查插件是否已安装
         if ! elasticsearch-plugin list | grep -q analysis-ik; then
           echo '🔧 安装IK插件...'
-          elasticsearch-plugin install --batch https://release.infinilabs.com/analysis-ik/stable/elasticsearch-analysis-ik-9.1.3.zip
+          elasticsearch-plugin install --batch https://release.infinilabs.com/analysis-ik/stable/elasticsearch-analysis-ik-9.1.5.zip
           echo '✅ IK插件安装完成'
         fi
         # 启动ES

Dockerfile

@@ -1,5 +1,5 @@
 # 使用官方 Python 镜像
-FROM python:3.12-slim
+FROM python:3.13-slim
 
 # 设置环境变量
 ENV PYTHONUNBUFFERED=1 \

README.md

@@ -16,7 +16,7 @@
 
 ### 环境要求
 
-- **Python**: 3.12
+- **Python**: 3.x
 - **uv**: 现代Python包管理器（强烈推荐）
 - **Elasticsearch**: 9.x（用于文档存储和搜索）
 
@@ -50,7 +50,7 @@ make setup
 ```
 
 `make setup` 会自动：
-- ✅ 创建 Python 3.12 虚拟环境
+- ✅ 创建 Python 虚拟环境
 - ✅ 安装所有依赖（包括开发工具）
 - ✅ 配置 Git 预提交钩子
 
@@ -293,4 +293,72 @@ Docker 打包的时候，忽略掉了很多文件，具体可以参考项目下
 
 因此在使用 docker 来部署的时候，必须挂载：
 - .env 文件
-- config.yaml 文件
+- config.yaml 文件
+
+## 升级项目依赖
+
+### 升级Python版本
+
+1. 手动更新 pyproject.toml 配置文件中所有与 Python 版本相关的字段：
+
+- 更新项目元数据 [project]:
+
+```diff
+- requires-python = ">=3.12"
++ requires-python = ">=3.13"
+```
+
+- 更新 Ruff 配置 [tool.ruff]:
+
+```diff
+- target-version = "py312"
++ target-version = "py313"
+```
+
+- 更新 MyPy 配置 [tool.mypy]:
+
+```diff
+- python_version = "3.12"
++ python_version = "3.13"
+```
+
+2. 使用 uv 重建虚拟环境
+
+
+```bash
+# 1. (推荐) 删除旧的虚拟环境，确保一个完全纯净的开始
+rm -rf .venv
+
+# 2. 使用 uv 创建一个新的虚拟环境。如果找不到，它会下载一个！
+uv venv --python 3.13
+
+# 3. 激活新创建的环境
+source .venv/bin/activate
+
+# 4. 同步所有依赖到新环境
+# uv sync 会读取 uv.lock 文件，在新环境中精确安装所有包
+uv sync
+```
+
+### 升级其他依赖版本
+
+> 使用 uv add 命令可以一站式完成版本更新、pyproject.toml 文件修改、锁文件更新和环境安装。
+
+1. 检查所有过时的依赖名称:
+
+```bash
+uv pip list --outdated
+```
+
+2. 逐个升级`pyproject.toml`中定义的**直接**依赖，不要更新**间接依赖**:
+
+```bash
+uv add pydantic@latest
+uv add langchain@latest
+```
+
+3. 升级后务必运行测试:
+
+```bash
+pytest
+```

app/utils/embedders/sentence_transformer.py

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from sentence_transformers import SentenceTransformer
+
 
 class SentenceTransformerEmbedder:
     def __init__(self, model_name: str, similarity: str) -> None:
@@ -20,8 +22,6 @@ def __init__(self, model_name: str, similarity: str) -> None:
         :param model_name: 模型名称
         :param similarity: 相似性算法名称 cosine，dot_product
         """
-        from sentence_transformers import SentenceTransformer
-
         self.model = SentenceTransformer(model_name)
         self._similarity = similarity
 
@@ -30,7 +30,12 @@ def embed_documents(self, texts: list[str]) -> list[list[float]]:
 
     @property
     def dimensions(self) -> int:
-        return int(self.model.get_sentence_embedding_dimension())
+        d = self.model.get_sentence_embedding_dimension()
+        if d is None:
+            raise RuntimeError(
+                "SentenceTransformerEmbedder: dimension cannot be None"
+            )
+        return d
 
     @property
     def similarity_metric(self) -> str:

config.yaml

@@ -12,7 +12,7 @@ elasticsearch:
   request_timeout: 60
 
 embedder:
-  model_name: "shibing624/text2vec-base-chinese" # "BAAI/bge-base-zh-v1.5"
+  model_name: "BAAI/bge-base-zh-v1.5 " # "shibing624/text2vec-base-chinese" # "BAAI/bge-base-zh-v1.5"
   dimensions: 768
   similarity_metric: "cosine"
   index_type: "int8_hnsw" # 可选: "int8_hnsw", "hnsw", "flat"

pyproject.toml

@@ -1,25 +1,27 @@
 [project]
 name = "kbase"
 version = "0.1.0"
-requires-python = ">=3.12,<3.13"
+requires-python = ">=3.13"
 dependencies = [
     "cos-python-sdk-v5>=1.9.38",
     "elasticsearch>=9.1.0",
-    "fastapi>=0.116.1",
+    "fastapi>=0.118.2",
     "gunicorn>=23.0.0",
     "langchain>=0.3.27",
-    "langchain-community>=0.3.29",
+    "langchain-community>=0.3.31",
     "mistune>=3.1.4",
-    "numpy>=1.24,<2.0",
+    "numpy>=2.3.3",
     "pdfplumber>=0.11.7",
+    "pydantic>=2.12.0",
     "pydantic-settings>=2.10.1",
     "pypdf>=6.0.0",
     "python-multipart>=0.0.20",
     "pyyaml>=6.0.2",
+    "ruff>=0.14.0",
     "scipy>=1.16.1",
-    "sentence-transformers>=2.3.0,<2.7.0",
-    "torch>=2.1.0",
-    "transformers>=4.35.0,<4.50.0",
+    "sentence-transformers>=5.1.1",
+    "torch>=2.8.0",
+    "transformers>=4.57.0",
     "unstructured[docx,pdf,pptx,xlsx]>=0.18.14",
     "uvicorn>=0.35.0",
 ]
@@ -41,7 +43,7 @@ dev = [
 
 [tool.ruff]
 line-length = 80
-target-version = "py312"
+target-version = "py313"
 lint.extend-select = [
     "B",    # flake8-bugbear
     "I",    # isort
@@ -71,7 +73,7 @@ suppress-none-returning = false # 检查返回None的函数
 strict = true                   # 严格的类型导入检查
 
 [tool.mypy]
-python_version = "3.12"
+python_version = "3.13"
 packages = ["app", "tests"]
 strict = true
 warn_unreachable = true           # 警告无法到达的代码
@@ -103,7 +105,3 @@ python_classes = "Test*"
 python_functions = "test_*"
 
 [tool.uv]
-required-environments = [
-    "sys_platform == 'darwin' and platform_machine == 'arm64'",
-    "sys_platform == 'darwin' and platform_machine == 'x86_64'"
-]

tests/conftest.py

@@ -84,14 +84,14 @@ def _builder(file_names: str | list[str]) -> Path | list[Path]:  # noqa: F811
 
 
 @pytest.fixture(scope="module")
-def client() -> Generator[TestClient, Any, None]:
+def client() -> Generator[TestClient, Any]:
     """V2 API 测试客户端"""
     with TestClient(app) as test_client:
         yield test_client
 
 
 @pytest.fixture(scope="session")
-def es_client() -> Generator[Elasticsearch, Any, None]:
+def es_client() -> Generator[Elasticsearch, Any]:
     """
     Elasticsearch客户端 - 用于测试ES相关操作
     """

tests/web/document/save_endpoint_test.py

@@ -30,7 +30,7 @@ class TestSaveEndpoint:
     @pytest.fixture(scope="class", autouse=True)
     def setup_test_index(
         self, es_client: Elasticsearch
-    ) -> Generator[None, Any, None]:
+    ) -> Generator[None, Any]:
         """设置测试索引"""
         # 如果索引存在则删除（清理之前的测试）
         if es_client.indices.exists(index=self.TEST_INDEX):

tests/web/document/structured_search_test.py

@@ -32,7 +32,7 @@ class TestStructuredSearch:
     @pytest.fixture(scope="class", autouse=True)
     def setup_environment(
         self, client: TestClient, es_client: Elasticsearch
-    ) -> Generator[None, Any, None]:
+    ) -> Generator[None, Any]:
         """准备测试环境（索引+数据）"""
 
         # 1. 清理已存在的索引

tests/web/document/vector_hybrid_search_test.py

@@ -42,7 +42,7 @@ def setup_environment(
         self,
         client: TestClient,
         es_client: Elasticsearch,
-    ) -> Generator[None, Any, None]:
+    ) -> Generator[None, Any]:
         """准备测试环境（索引+数据）"""
 
         # 1. 清理已存在的索引