修复启动bug

backend/models/__init__.py

@@ -324,7 +324,7 @@ class MemoryAtom(Base):
     content = Column(Text, nullable=False)
     priority = Column(Integer, default=50)
     source_session_id = Column(UUID(as_uuid=True), nullable=True)
-    metadata = Column(JSON, default=dict)
+    metadata_ = Column("metadata", JSON, default=dict)
     created_at = Column(DateTime, default=datetime.utcnow)
     updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
 

backend/modules/custom_tool/router.py

@@ -121,7 +121,7 @@ async def create_custom_tool(req: CustomToolCreate, request: Request, db: AsyncS
         await db.flush()
         return created_tool
 
-    schema_json = req.schema_json or {}
+    schema_json = req.tool_schema or {}
     if not schema_json and req.endpoint_url:
         schema_json = {
             "type": "object",
@@ -196,8 +196,8 @@ async def update_custom_tool(tool_id: uuid.UUID, req: CustomToolUpdate, db: Asyn
         tool.auth_type = req.auth_type
     if req.auth_config is not None:
         tool.auth_config = req.auth_config
-    if req.schema_json is not None:
-        tool.schema_json = req.schema_json
+    if req.tool_schema is not None:
+        tool.schema_json = req.tool_schema
     if req.is_active is not None:
         tool.is_active = req.is_active
     await db.flush()

backend/modules/memory/manager.py

@@ -783,6 +783,7 @@ class MemoryManager:
         results = []
         try:
             async with self.db_factory() as db:
+                flow_filter = "AND (flow_id = :fid OR flow_id IS NULL)" if fid else ""
                 if embedding and len(embedding) > 0:
                     emb_str = "[" + ",".join(str(v) for v in embedding) + "]"
                     vector_results = await db.execute(
@@ -791,7 +792,7 @@ class MemoryManager:
                                    (1.0 - (embedding <=> :emb::vector)) AS similarity
                             FROM memory_atoms
                             WHERE user_id = :uid
-                              {"""AND (flow_id = :fid OR flow_id IS NULL)""" if fid else ""}
+                              {flow_filter}
                               AND embedding IS NOT NULL
                             ORDER BY embedding <=> :emb::vector
                             LIMIT :limit
@@ -811,7 +812,7 @@ class MemoryManager:
                                ts_rank(content_tsv, plainto_tsquery('simple', :query)) AS text_score
                         FROM memory_atoms
                         WHERE user_id = :uid
-                          {"""AND (flow_id = :fid OR flow_id IS NULL)""" if fid else ""}
+                          {flow_filter}
                           AND content_tsv @@ plainto_tsquery('simple', :query)
                         ORDER BY text_score DESC
                         LIMIT :limit

backend/schemas/__init__.py

@@ -365,7 +365,7 @@ class CustomToolCreate(BaseModel):
     headers: dict = {}
     auth_type: str = "none"
     auth_config: dict = {}
-    schema_json: dict | None = None
+    tool_schema: dict | None = None
 
 
 class CustomToolUpdate(BaseModel):
@@ -378,16 +378,16 @@ class CustomToolUpdate(BaseModel):
     headers: dict | None = None
     auth_type: str | None = None
     auth_config: dict | None = None
-    schema_json: dict | None = None
+    tool_schema: dict | None = None
     is_active: bool | None = None
 
 
 class CustomToolOut(BaseModel):
-    model_config = ConfigDict(from_attributes=True, protected_namespaces=())
+    model_config = ConfigDict(from_attributes=True, populate_by_name=True, protected_namespaces=())
     id: uuid.UUID
     name: str
     description: str | None = None
-    schema_json: dict
+    tool_schema: dict = Field(alias="schema_json")
     endpoint_url: str
     method: str
     path: str