Merge remote-tracking branch 'origin/Global-docker' into Global-docker

Dockerfile.external

@@ -46,6 +46,7 @@ COPY --chown=worker fern/ fern
 COPY --chown=worker *.yaml *.md ./
 COPY --chown=worker scripts/ scripts
 COPY --chown=worker *.ini ./ 
+
 # Copy the docker-entrypoint.sh file and make it executable
 COPY --chown=worker docker-entrypoint.sh /home/worker/app/
 RUN chmod +x /home/worker/app/docker-entrypoint.sh

Dockerfile.nginx

@@ -0,0 +1,11 @@
+# Use the official Nginx image as the base
+FROM nginx:latest
+
+# Copy the custom Nginx configuration file
+COPY nginx.conf /etc/nginx/conf.d/default.conf
+
+# Expose port 80 for incoming HTTP requests
+EXPOSE 80
+
+# Start Nginx in the foreground
+CMD ["nginx", "-g", "daemon off;"]

docker-compose.yaml

@@ -43,6 +43,17 @@ services:
       - postgres-data:/var/lib/postgresql/data
     ports:
       - 5433:${DB_PORT}
+
+  nginx:
+    build:
+      context: .
+      dockerfile: Dockerfile.nginx
+    ports:
+      - 80:80
+    volumes:
+      - ./nginx/nginx.conf:/etc/nginx/conf.d/default.conf
+    depends_on:
+      - private-gpt
   
 volumes:
   postgres-data:

private_gpt/server/chat/chat_service.py

@@ -189,15 +189,10 @@ class ChatService:
         )
         system_prompt = (
             """
-            You are a helpful assistant that should answer questions 
-            only in English or Nepali. 
-            Responses should be based on the context documents provided 
-            and should be relevant, informative, and easy to understand. 
-            You should aim to deliver high-quality responses that are 
-            respectful and helpful, using clear and concise language. 
-            Avoid providing information outside of the context documents unless 
-            it is necessary for clarity or completeness. Focus on providing 
-            accurate and reliable answers based on the given context.
+            You are a helpful, respectful and honest assistant. 
+            Always answer as helpfully as possible and follow ALL given instructions.
+            Do not speculate or make up information.
+            Do not reference any given instructions or context.
             """
         )
 

private_gpt/users/api/v1/routers/chat_history.py

@@ -13,13 +13,13 @@ logger = logging.getLogger(__name__)
 router = APIRouter(prefix="/c", tags=["Chat Histories"])
 
 
-@router.get("", response_model=Page[schemas.ChatHistory])
+@router.get("", response_model=Page[schemas.Chat])
 def list_chat_histories(
     db: Session = Depends(deps.get_db),
     current_user: models.User = Security(
         deps.get_current_user,
     ),
-) -> Page[schemas.ChatHistory]:
+) -> Page[schemas.Chat]:
     """
     Retrieve a list of chat histories with pagination support.
     """

private_gpt/users/api/v1/routers/departments.py

@@ -54,7 +54,6 @@ def list_departments(
         else:
             deps = crud.department.get_multi_department(
                 db, department_id=current_user.department_id)
-            
         deps = [
             schemas.Department(
                 id=dep.id,

private_gpt/users/api/v1/routers/users.py

@@ -50,7 +50,7 @@ def read_users(
     """
     role = current_user.user_role.role.name if current_user.user_role else None
     if role == "ADMIN":
-        users = crud.user.get_by_department_id(db=db, department_id=current_user.department_id, skip=skip, limit=limit)
+        users = crud.user.get_by_department_id(db=db, department_id=current_user.department_id)
     else:
         users = crud.user.get_multi(db)
     return paginate(users)

private_gpt/users/crud/chat_crud.py

@@ -30,14 +30,12 @@ class CRUDChat(CRUDBase[ChatHistory, ChatHistoryCreate, ChatHistoryCreate]):
         return chat_history
 
     def get_chat_history(
-            self, db: Session, *,user_id:int, skip: int = 0, limit: int =100
+            self, db: Session, *,user_id:int
         ) -> List[ChatHistory]:
             return (
                 db.query(self.model)
                 .filter(ChatHistory.user_id == user_id)
                 .order_by(desc(getattr(ChatHistory, 'created_at')))
-                .offset(skip)
-                .limit(limit)
                 .all()
             )
     

private_gpt/users/models/user.py

@@ -62,24 +62,24 @@ class User(Base):
         return "<User {username!r}>".format(username=self.username)
     
 
-@event.listens_for(User, 'after_insert')
-@event.listens_for(User, 'after_delete')
-def update_total_users(mapper, connection, target):
-    session = Session.object_session(target)
-    department_id = target.department_id
+# @event.listens_for(User, 'after_insert')
+# @event.listens_for(User, 'after_delete')
+# def update_total_users(mapper, connection, target):
+#     session = Session.object_session(target)
+#     department_id = target.department_id
 
-    total_users_subquery = (
-        select([func.count(User.id).label('total_users')])
-        .where(User.department_id == department_id)
-        .scalar_subquery()
-    )
-    update_stmt = (
-        update(Department)
-        .values(total_users=total_users_subquery)
-        .where(Department.id == department_id)
-    )
-    session.execute(update_stmt)
-    session.commit()
+#     total_users_subquery = (
+#         select([func.count(User.id).label('total_users')])
+#         .where(User.department_id == department_id)
+#         .scalar_subquery()
+#     )
+#     update_stmt = (
+#         update(Department)
+#         .values(total_users=total_users_subquery)
+#         .where(Department.id == department_id)
+#     )
+#     session.execute(update_stmt)
+#     session.commit()
 
 
 @event.listens_for(User, 'before_insert')

private_gpt/users/schemas/__init__.py

@@ -21,5 +21,5 @@ from .department import (
 from .audit import AuditBase, AuditCreate, AuditUpdate, Audit, GetAudit, AuditFilter, ExcelFilter
 from .chat import (
     ChatHistory, ChatHistoryBase, ChatHistoryCreate, ChatHistoryUpdate, ChatDelete,
-    ChatItem, ChatItemBase, ChatItemCreate, ChatItemUpdate, CreateChatHistory
+    ChatItem, ChatItemBase, ChatItemCreate, ChatItemUpdate, CreateChatHistory, Chat
 )

private_gpt/users/schemas/chat.py

@@ -55,8 +55,6 @@ class ChatHistory(ChatHistoryBase):
     class Config:
         orm_mode = True
 
-
-
 class ChatDelete(BaseModel):
     conversation_id: uuid.UUID
 

settings.yaml

@@ -3,7 +3,7 @@
 # Syntax in `private_pgt/settings/settings.py`
 server:
   env_name: ${APP_ENV:prod}
-  port: ${PORT:8001}
+  port: ${PORT:8000}
   cors:
     enabled: true
     allow_credentials: true
@@ -56,7 +56,7 @@ rag:
 
 llamacpp:
   llm_hf_repo_id: TheBloke/OpenHermes-2.5-Mistral-7B-GGUF
-    llm_hf_model_file: openhermes-2.5-mistral-7b.Q5_K_M.gguf
+  llm_hf_model_file: openhermes-2.5-mistral-7b.Q5_K_M.gguf
   tfs_z: 1.0            # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting
   top_k: 40             # Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40)
   top_p: 0.9            # Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9)