fix: 测试沙箱，修复若干问题

docker-compose.yml

@@ -3,7 +3,7 @@ services:
     build:
       context: .
       dockerfile: docker/api.Dockerfile
-    image: yuxi-api:0.5.dev
+    image: yuxi-api:0.5.2.dev
     container_name: api-dev
     working_dir: /app
     volumes:
@@ -73,7 +73,7 @@ services:
     build:
       context: .
       dockerfile: docker/api.Dockerfile
-    image: yuxi-api:0.5.dev
+    image: yuxi-api:0.5.2.dev
     container_name: worker-dev
     working_dir: /app
     volumes:
@@ -135,6 +135,7 @@ services:
     build:
       context: ./docker/sandbox_provisioner
       dockerfile: Dockerfile
+    image: yuxi-sandbox-provisioner:0.5.2.dev
     container_name: sandbox-provisioner
     volumes:
       - ./saves:/app/saves
@@ -181,7 +182,7 @@ services:
       context: .
       dockerfile: docker/web.Dockerfile
       target: development
-    image: yuxi-web:0.5.dev
+    image: yuxi-web:0.5.2.dev
     container_name: web-dev
     volumes:
       - ./web/src:/app/src
@@ -324,6 +325,8 @@ services:
   redis:
     image: redis:7-alpine
     container_name: redis
+    ports:
+      - "6379:6379"
     command: redis-server --appendonly yes
     healthcheck:
       test: ["CMD", "redis-cli", "ping"]

docker/sandbox_provisioner/app.py

@@ -236,16 +236,31 @@ class LocalContainerProvisionerBackend:
                     raise RuntimeError(f"sandbox {sandbox_id} is not ready at {record.sandbox_url}")
                 return record
 
-            threads_root = Path(self._threads_host_path).resolve()
+            # 检测是否是 Windows 绝对路径 (如 D:/ 或 D:\)
-            thread_user_data = (threads_root / safe_thread_id / "user-data").resolve()
+            threads_root_str = self._threads_host_path
-            try:
+            is_windows_path = len(threads_root_str) >= 2 and threads_root_str[1] == ':'
-                thread_user_data.relative_to(threads_root)
-            except ValueError as exc:
-                raise ValueError("thread_id resolved outside threads host root") from exc
-            thread_user_data.mkdir(parents=True, exist_ok=True)
 
-            skills_path = Path(self._skills_host_path)
+            if is_windows_path:
-            skills_path.mkdir(parents=True, exist_ok=True)
+                # Windows 路径，直接使用，不调用 resolve()
+                threads_root = Path(threads_root_str)
+                thread_user_data = threads_root / safe_thread_id / "user-data"
+                # Windows 路径下无法在 Linux 容器内创建目录，跳过 mkdir
+            else:
+                threads_root = Path(threads_root_str).resolve()
+                thread_user_data = (threads_root / safe_thread_id / "user-data").resolve()
+                try:
+                    thread_user_data.relative_to(threads_root)
+                except ValueError as exc:
+                    raise ValueError("thread_id resolved outside threads host root") from exc
+                thread_user_data.mkdir(parents=True, exist_ok=True)
+
+            skills_path_str = self._skills_host_path
+            is_skills_windows = len(skills_path_str) >= 2 and skills_path_str[1] == ':'
+            if is_skills_windows:
+                skills_path = Path(skills_path_str)
+            else:
+                skills_path = Path(skills_path_str)
+                skills_path.mkdir(parents=True, exist_ok=True)
 
             container_name = self._container_name(sandbox_id)
             run_kwargs = {

pyproject.toml

@@ -23,6 +23,7 @@ dependencies = [
     "langgraph>=1.0.1",
     "langgraph-checkpoint-sqlite>=3.0",
     "langgraph-checkpoint-postgres>=2.0.0",
+    "psycopg[binary]>=3.2.0",
     "langgraph-cli[inmem]>=0.4",
     "langsmith>=0.4",
     "lightrag-hku>=1.4.6",

src/knowledge/manager.py

@@ -268,16 +268,21 @@ class KnowledgeBaseManager:
             return {"databases": []}
         return await self.get_databases_by_user(user)
 
-    async def get_databases_by_user(self, user: User) -> dict:
+    async def get_databases_by_user(self, user: User | dict) -> dict:
         """根据用户权限获取知识库列表"""
 
-        # 构建用户信息字典
+        # 构建用户信息字典（支持 User 对象或 dict）
-        user_info = {
+        if isinstance(user, dict):
-            "role": user.role,
+            user_info = user
-            "department_id": user.department_id,
+        else:
-        }
+            user_info = {
+                "role": user.role,
+                "department_id": user.department_id,
+            }
 
-        logger.info(f"Getting databases for user {user.id} with role {user.role} and department {user.department_id}")
+        user_role = user_info.get("role")
+        user_dept = user_info.get("department_id")
+        logger.info(f"Getting databases for user with role {user_role} and department {user_dept}")
 
         all_databases = (await self.get_databases()).get("databases", [])
 

src/repositories/conversation_repository.py

@@ -151,6 +151,15 @@ class ConversationRepository:
         error_message: str | None = None,
         langgraph_tool_call_id: str | None = None,
     ) -> ToolCall:
+        if langgraph_tool_call_id:
+            existing = await self.get_tool_call_by_langgraph_id(langgraph_tool_call_id)
+            if existing:
+                logger.debug(
+                    "Tool call already exists for langgraph_tool_call_id=%s, skip insert",
+                    langgraph_tool_call_id,
+                )
+                return existing
+
         tool_call = ToolCall(
             message_id=message_id,
             tool_name=tool_name,
@@ -333,7 +342,10 @@ class ConversationRepository:
 
     async def get_tool_call_by_langgraph_id(self, langgraph_tool_call_id: str) -> ToolCall | None:
         result = await self.db.execute(
-            select(ToolCall).where(ToolCall.langgraph_tool_call_id == langgraph_tool_call_id)
+            select(ToolCall)
+            .where(ToolCall.langgraph_tool_call_id == langgraph_tool_call_id)
+            .order_by(ToolCall.created_at.desc())
+            .limit(1)
         )
         return result.scalar_one_or_none()
 

src/services/chat_stream_service.py

@@ -9,7 +9,7 @@ from typing import Any
 from langchain.messages import AIMessage, AIMessageChunk, HumanMessage
 from langgraph.types import Command
 
-from src import config as conf
+from src import config as conf, knowledge_base
 from src.agents import agent_manager
 from src.plugins.guard import content_guard
 from src.repositories.agent_config_repository import AgentConfigRepository

uv.lock

@@ -953,8 +953,8 @@ dependencies = [
     { name = "safetensors", extra = ["torch"] },
     { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
     { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
-    { name = "torchvision", version = "0.23.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "torchvision", version = "0.23.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux') or sys_platform == 'darwin'" },
-    { name = "torchvision", version = "0.23.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "torchvision", version = "0.23.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
     { name = "tqdm" },
     { name = "transformers" },
 ]
@@ -3398,6 +3398,40 @@ wheels = [
     { url = "https://pypi.tuna.tsinghua.edu.cn/packages/c8/5b/181e2e3becb7672b502f0ed7f16ed7352aca7c109cfb94cf3878a9186db9/psycopg-3.3.3-py3-none-any.whl", hash = "sha256:f96525a72bcfade6584ab17e89de415ff360748c766f0106959144dcbb38c698", size = 212768, upload-time = "2026-02-18T16:46:27.365Z" },
 ]
 
+[package.optional-dependencies]
+binary = [
+    { name = "psycopg-binary", marker = "implementation_name != 'pypy'" },
+]
+
+[[package]]
+name = "psycopg-binary"
+version = "3.3.3"
+source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
+wheels = [
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/90/15/021be5c0cbc5b7c1ab46e91cc3434eb42569f79a0592e67b8d25e66d844d/psycopg_binary-3.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6698dbab5bcef8fdb570fc9d35fd9ac52041771bfcfe6fd0fc5f5c4e36f1e99d", size = 4591170, upload-time = "2026-02-18T16:48:55.594Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f1/54/a60211c346c9a2f8c6b272b5f2bbe21f6e11800ce7f61e99ba75cf8b63e1/psycopg_binary-3.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:329ff393441e75f10b673ae99ab45276887993d49e65f141da20d915c05aafd8", size = 4670009, upload-time = "2026-02-18T16:49:03.608Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/c1/53/ac7c18671347c553362aadbf65f92786eef9540676ca24114cc02f5be405/psycopg_binary-3.3.3-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:eb072949b8ebf4082ae24289a2b0fd724da9adc8f22743409d6fd718ddb379df", size = 5469735, upload-time = "2026-02-18T16:49:10.128Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/7f/c3/4f4e040902b82a344eff1c736cde2f2720f127fe939c7e7565706f96dd44/psycopg_binary-3.3.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:263a24f39f26e19ed7fc982d7859a36f17841b05bebad3eb47bb9cd2dd785351", size = 5152919, upload-time = "2026-02-18T16:49:16.335Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/0c/e7/d929679c6a5c212bcf738806c7c89f5b3d0919f2e1685a0e08d6ff877945/psycopg_binary-3.3.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5152d50798c2fa5bd9b68ec68eb68a1b71b95126c1d70adaa1a08cd5eefdc23d", size = 6738785, upload-time = "2026-02-18T16:49:22.687Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/69/b0/09703aeb69a9443d232d7b5318d58742e8ca51ff79f90ffe6b88f1db45e7/psycopg_binary-3.3.3-cp312-cp312-manylinux_2_38_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:9d6a1e56dd267848edb824dbeb08cf5bac649e02ee0b03ba883ba3f4f0bd54f2", size = 4979008, upload-time = "2026-02-18T16:49:27.313Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/cc/a6/e662558b793c6e13a7473b970fee327d635270e41eded3090ef14045a6a5/psycopg_binary-3.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73eaaf4bb04709f545606c1db2f65f4000e8a04cdbf3e00d165a23004692093e", size = 4508255, upload-time = "2026-02-18T16:49:31.575Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/5f/7f/0f8b2e1d5e0093921b6f324a948a5c740c1447fbb45e97acaf50241d0f39/psycopg_binary-3.3.3-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:162e5675efb4704192411eaf8e00d07f7960b679cd3306e7efb120bb8d9456cc", size = 4189166, upload-time = "2026-02-18T16:49:35.801Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/92/ec/ce2e91c33bc8d10b00c87e2f6b0fb570641a6a60042d6a9ae35658a3a797/psycopg_binary-3.3.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:fab6b5e37715885c69f5d091f6ff229be71e235f272ebaa35158d5a46fd548a0", size = 3924544, upload-time = "2026-02-18T16:49:41.129Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/c5/2f/7718141485f73a924205af60041c392938852aa447a94c8cbd222ff389a1/psycopg_binary-3.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a4aab31bd6d1057f287c96c0effca3a25584eb9cc702f282ecb96ded7814e830", size = 4235297, upload-time = "2026-02-18T16:49:46.726Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/57/f9/1add717e2643a003bbde31b1b220172e64fbc0cb09f06429820c9173f7fc/psycopg_binary-3.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:59aa31fe11a0e1d1bcc2ce37ed35fe2ac84cd65bb9036d049b1a1c39064d0f14", size = 3547659, upload-time = "2026-02-18T16:49:52.999Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/03/0a/cac9fdf1df16a269ba0e5f0f06cac61f826c94cadb39df028cdfe19d3a33/psycopg_binary-3.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:05f32239aec25c5fb15f7948cffdc2dc0dac098e48b80a140e4ba32b572a2e7d", size = 4590414, upload-time = "2026-02-18T16:50:01.441Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/9c/c0/d8f8508fbf440edbc0099b1abff33003cd80c9e66eb3a1e78834e3fb4fb9/psycopg_binary-3.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7c84f9d214f2d1de2fafebc17fa68ac3f6561a59e291553dfc45ad299f4898c1", size = 4669021, upload-time = "2026-02-18T16:50:08.803Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/04/05/097016b77e343b4568feddf12c72171fc513acef9a4214d21b9478569068/psycopg_binary-3.3.3-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:e77957d2ba17cada11be09a5066d93026cdb61ada7c8893101d7fe1c6e1f3925", size = 5467453, upload-time = "2026-02-18T16:50:14.985Z" },
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+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/11/49/5309473b9803b207682095201d8708bbc7842ddf3f192488a69204e36455/psycopg_binary-3.3.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ae07a3114313dd91fce686cab2f4c44af094398519af0e0f854bc707e1aeedf1", size = 6737315, upload-time = "2026-02-18T16:50:35.106Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/d4/5d/03abe74ef34d460b33c4d9662bf6ec1dd38888324323c1a1752133c10377/psycopg_binary-3.3.3-cp313-cp313-manylinux_2_38_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:d257c58d7b36a621dcce1d01476ad8b60f12d80eb1406aee4cf796f88b2ae482", size = 4979783, upload-time = "2026-02-18T16:50:42.067Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f0/6c/3fbf8e604e15f2f3752900434046c00c90bb8764305a1b81112bff30ba24/psycopg_binary-3.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:07c7211f9327d522c9c47560cae00a4ecf6687f4e02d779d035dd3177b41cb12", size = 4509023, upload-time = "2026-02-18T16:50:50.116Z" },
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+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/2b/d3/bf49e3dcaadba510170c8d111e5e69e5ae3f981c1554c5bb71c75ce354bb/psycopg_binary-3.3.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:cb85b1d5702877c16f28d7b92ba030c1f49ebcc9b87d03d8c10bf45a2f1c7508", size = 3925668, upload-time = "2026-02-18T16:51:03.299Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f8/92/0aac830ed6a944fe334404e1687a074e4215630725753f0e3e9a9a595b62/psycopg_binary-3.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4d4606c84d04b80f9138d72f1e28c6c02dc5ae0c7b8f3f8aaf89c681ce1cd1b1", size = 4234973, upload-time = "2026-02-18T16:51:09.097Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/2e/96/102244653ee5a143ece5afe33f00f52fe64e389dfce8dbc87580c6d70d3d/psycopg_binary-3.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:74eae563166ebf74e8d950ff359be037b85723d99ca83f57d9b244a871d6c13b", size = 3551342, upload-time = "2026-02-18T16:51:13.892Z" },
+]
+
 [[package]]
 name = "psycopg-pool"
 version = "3.3.0"
@@ -4922,18 +4956,16 @@ name = "torchvision"
 version = "0.23.0"
 source = { registry = "https://download.pytorch.org/whl/cpu" }
 resolution-markers = [
-    "python_full_version >= '3.13' and platform_machine == 'aarch64' and platform_python_implementation != 'CPython' and sys_platform == 'linux'",
-    "python_full_version < '3.13' and platform_machine == 'aarch64' and platform_python_implementation != 'CPython' and sys_platform == 'linux'",
     "python_full_version >= '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
     "python_full_version < '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
     "python_full_version >= '3.13' and sys_platform == 'darwin'",
     "python_full_version < '3.13' and sys_platform == 'darwin'",
 ]
 dependencies = [
-    { name = "numpy", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "numpy", marker = "(platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux') or sys_platform == 'darwin'" },
-    { name = "pillow", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "pillow", marker = "(platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux') or sys_platform == 'darwin'" },
     { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
-    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine == 'aarch64' and sys_platform == 'linux'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e0e2c04a91403e8dd3af9756c6a024a1d9c0ed9c0d592a8314ded8f4fe30d440" },
@@ -4953,9 +4985,9 @@ resolution-markers = [
     "(python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.13' and platform_python_implementation != 'CPython' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 dependencies = [
-    { name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "pillow", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "pillow", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 wheels = [
     { url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:ae459d4509d3b837b978dc6c66106601f916b6d2cda75c137e3f5f48324ce1da" },
@@ -5291,18 +5323,6 @@ wheels = [
     { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f8/ba/d69adbe699b768f6b29a5eec7b47dd610bd17a69de51b251126a801369ea/uvloop-0.22.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1f38ec5e3f18c8a10ded09742f7fb8de0108796eb673f30ce7762ce1b8550cad", size = 4239051, upload-time = "2025-10-16T22:16:43.224Z" },
 ]
 
-[[package]]
-name = "wasabi"
-version = "1.1.3"
-source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
-dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
-]
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ac/f9/054e6e2f1071e963b5e746b48d1e3727470b2a490834d18ad92364929db3/wasabi-1.1.3.tar.gz", hash = "sha256:4bb3008f003809db0c3e28b4daf20906ea871a2bb43f9914197d540f4f2e0878", size = 30391, upload-time = "2024-05-31T16:56:18.99Z" }
-wheels = [
-    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/06/7c/34330a89da55610daa5f245ddce5aab81244321101614751e7537f125133/wasabi-1.1.3-py3-none-any.whl", hash = "sha256:f76e16e8f7e79f8c4c8be49b4024ac725713ab10cd7f19350ad18a8e3f71728c", size = 27880, upload-time = "2024-05-31T16:56:16.699Z" },
-]
-
 [[package]]
 name = "volcengine-python-sdk"
 version = "5.0.13"
@@ -5318,6 +5338,18 @@ wheels = [
     { url = "https://pypi.tuna.tsinghua.edu.cn/packages/8a/2c/38df87249e7181a8f120bc1cec84b6f7ebe3ab94ee65d7d82307117ad889/volcengine_python_sdk-5.0.13-py2.py3-none-any.whl", hash = "sha256:53fc6edc86c7665b3d0b871e8ef2db9a7c81fbce03ce2c93bf5f7a98fa6d5dbd", size = 30611404, upload-time = "2026-03-02T13:32:50.256Z" },
 ]
 
+[[package]]
+name = "wasabi"
+version = "1.1.3"
+source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ac/f9/054e6e2f1071e963b5e746b48d1e3727470b2a490834d18ad92364929db3/wasabi-1.1.3.tar.gz", hash = "sha256:4bb3008f003809db0c3e28b4daf20906ea871a2bb43f9914197d540f4f2e0878", size = 30391, upload-time = "2024-05-31T16:56:18.99Z" }
+wheels = [
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/06/7c/34330a89da55610daa5f245ddce5aab81244321101614751e7537f125133/wasabi-1.1.3-py3-none-any.whl", hash = "sha256:f76e16e8f7e79f8c4c8be49b4024ac725713ab10cd7f19350ad18a8e3f71728c", size = 27880, upload-time = "2024-05-31T16:56:16.699Z" },
+]
+
 [[package]]
 name = "watchfiles"
 version = "1.1.1"
@@ -5665,6 +5697,7 @@ dependencies = [
     { name = "openai" },
     { name = "opencv-python-headless" },
     { name = "pillow" },
+    { name = "psycopg", extra = ["binary"] },
     { name = "pyjwt" },
     { name = "pymilvus" },
     { name = "pymupdf" },
@@ -5686,8 +5719,8 @@ dependencies = [
     { name = "tomli-w" },
     { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
     { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
-    { name = "torchvision", version = "0.23.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "torchvision", version = "0.23.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux') or sys_platform == 'darwin'" },
-    { name = "torchvision", version = "0.23.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "torchvision", version = "0.23.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
     { name = "tqdm" },
     { name = "typer" },
     { name = "unstructured" },
@@ -5749,6 +5782,7 @@ requires-dist = [
     { name = "openai", specifier = ">=1.109" },
     { name = "opencv-python-headless", specifier = ">=4.11.0.86" },
     { name = "pillow", specifier = ">=10.5.0" },
+    { name = "psycopg", extras = ["binary"], specifier = ">=3.2.0" },
     { name = "pyjwt", specifier = ">=2.8.0" },
     { name = "pymilvus", specifier = ">=2.5.8" },
     { name = "pymupdf", specifier = ">=1.25.5" },