minor change

app/api/v1/conversation_routes.py

@@ -49,7 +49,7 @@ class ChatRequest(BaseModel):
     conversation_id: Optional[str] = Field(None, description="Optional conversation ID. If not provided, creates new conversation.")
     
     class Config:
-        schema_extra = {
+        json_schema_extra = {
             "example": {
                 "query": "What is my account balance?",
                 "conversation_id": "507f1f77bcf86cd799439011"

app/models/backup_conversation.py

@@ -1,313 +1,313 @@
-"""
-Conversation Models for MongoDB
+# """
+# Conversation Models for MongoDB
 
-Handles conversation persistence with:
-- Auto-generated titles from first message
-- Message metadata (policy actions, retrieval stats)
-- Archive/unarchive support
-- Search indexing ready
-"""
+# Handles conversation persistence with:
+# - Auto-generated titles from first message
+# - Message metadata (policy actions, retrieval stats)
+# - Archive/unarchive support
+# - Search indexing ready
+# """
 
-from datetime import datetime
-from typing import List, Optional, Dict, Any
-from pydantic import BaseModel, Field
-from bson import ObjectId
+# from datetime import datetime
+# from typing import List, Optional, Dict, Any
+# from pydantic import BaseModel, Field
+# from bson import ObjectId
 
 
-# ============================================================================
-# CUSTOM TYPES
-# ============================================================================
+# # ============================================================================
+# # CUSTOM TYPES
+# # ============================================================================
 
-class PyObjectId(ObjectId):
-    """Custom ObjectId type compatible with Pydantic v2"""
+# class PyObjectId(ObjectId):
+#     """Custom ObjectId type compatible with Pydantic v2"""
 
-    @classmethod
-    def __get_validators__(cls):
-        yield cls.validate
+#     @classmethod
+#     def __get_validators__(cls):
+#         yield cls.validate
 
-    @classmethod
-    def validate(cls, v):
-        if not ObjectId.is_valid(v):
-            raise ValueError("Invalid ObjectId")
-        return ObjectId(v)
+#     @classmethod
+#     def validate(cls, v):
+#         if not ObjectId.is_valid(v):
+#             raise ValueError("Invalid ObjectId")
+#         return ObjectId(v)
 
-    @classmethod
-    def __get_pydantic_json_schema__(cls, core_schema, handler):
-        schema = handler(core_schema)
-        schema.update(type="string")
-        return schema
+#     @classmethod
+#     def __get_pydantic_json_schema__(cls, core_schema, handler):
+#         schema = handler(core_schema)
+#         schema.update(type="string")
+#         return schema
 
 
 
-# ============================================================================
-# MESSAGE MODEL
-# ============================================================================
+# # ============================================================================
+# # MESSAGE MODEL
+# # ============================================================================
 
-class Message(BaseModel):
-    """
-    Single message in a conversation.
+# class Message(BaseModel):
+#     """
+#     Single message in a conversation.
     
-    Contains:
-    - User/assistant content
-    - Metadata from RAG pipeline (policy action, retrieval stats)
-    - Timestamp
-    """
+#     Contains:
+#     - User/assistant content
+#     - Metadata from RAG pipeline (policy action, retrieval stats)
+#     - Timestamp
+#     """
     
-    role: str = Field(..., description="Role: 'user' or 'assistant'")
-    content: str = Field(..., description="Message content")
-    timestamp: datetime = Field(default_factory=datetime.utcnow)
+#     role: str = Field(..., description="Role: 'user' or 'assistant'")
+#     content: str = Field(..., description="Message content")
+#     timestamp: datetime = Field(default_factory=datetime.utcnow)
     
-    # Metadata from RAG pipeline (only for assistant messages)
-    metadata: Optional[Dict[str, Any]] = Field(
-        default=None,
-        description="RAG metadata: policy_action, confidence, docs_retrieved, etc."
-    )
+#     # Metadata from RAG pipeline (only for assistant messages)
+#     metadata: Optional[Dict[str, Any]] = Field(
+#         default=None,
+#         description="RAG metadata: policy_action, confidence, docs_retrieved, etc."
+#     )
     
-    class Config:
-        json_encoders = {
-            datetime: lambda v: v.isoformat()
-        }
-        schema_extra = {
-            "example": {
-                "role": "user",
-                "content": "What is my account balance?",
-                "timestamp": "2024-01-15T10:30:00",
-                "metadata": None
-            }
-        }
-
-
-# ============================================================================
-# CONVERSATION MODEL (MongoDB Document)
-# ============================================================================
-
-class Conversation(BaseModel):
-    """
-    Full conversation document stored in MongoDB.
+#     class Config:
+#         json_encoders = {
+#             datetime: lambda v: v.isoformat()
+#         }
+#         schema_extra = {
+#             "example": {
+#                 "role": "user",
+#                 "content": "What is my account balance?",
+#                 "timestamp": "2024-01-15T10:30:00",
+#                 "metadata": None
+#             }
+#         }
+
+
+# # ============================================================================
+# # CONVERSATION MODEL (MongoDB Document)
+# # ============================================================================
+
+# class Conversation(BaseModel):
+#     """
+#     Full conversation document stored in MongoDB.
     
-    Features:
-    - Auto-generated title from first user message
-    - Message history with metadata
-    - Archive/active status
-    - User association
-    - Search-ready structure
-    """
+#     Features:
+#     - Auto-generated title from first user message
+#     - Message history with metadata
+#     - Archive/active status
+#     - User association
+#     - Search-ready structure
+#     """
     
-    id: Optional[PyObjectId] = Field(alias="_id", default=None)
-    user_id: str = Field(..., description="User ID who owns this conversation")
-    title: str = Field(..., description="Conversation title (auto-generated or custom)")
+#     id: Optional[PyObjectId] = Field(alias="_id", default=None)
+#     user_id: str = Field(..., description="User ID who owns this conversation")
+#     title: str = Field(..., description="Conversation title (auto-generated or custom)")
     
-    messages: List[Message] = Field(
-        default_factory=list,
-        description="List of messages in chronological order"
-    )
+#     messages: List[Message] = Field(
+#         default_factory=list,
+#         description="List of messages in chronological order"
+#     )
     
-    # Status flags
-    is_archived: bool = Field(default=False, description="Is conversation archived?")
-    is_deleted: bool = Field(default=False, description="Soft delete flag")
+#     # Status flags
+#     is_archived: bool = Field(default=False, description="Is conversation archived?")
+#     is_deleted: bool = Field(default=False, description="Soft delete flag")
     
-    # Timestamps
-    created_at: datetime = Field(default_factory=datetime.utcnow)
-    updated_at: datetime = Field(default_factory=datetime.utcnow)
-    last_message_at: Optional[datetime] = Field(default=None)
+#     # Timestamps
+#     created_at: datetime = Field(default_factory=datetime.utcnow)
+#     updated_at: datetime = Field(default_factory=datetime.utcnow)
+#     last_message_at: Optional[datetime] = Field(default=None)
     
-    # Metadata
-    message_count: int = Field(default=0, description="Total messages (excluding deleted)")
+#     # Metadata
+#     message_count: int = Field(default=0, description="Total messages (excluding deleted)")
     
-    class Config:
-        model_config = {
-            "populate_by_name": True,
-            "arbitrary_types_allowed": True,
-            "json_encoders": {
-                ObjectId: str,
-                datetime: lambda v: v.isoformat(),
-            },
-        }
-        schema_extra = {
-            "example": {
-                "user_id": "user_123",
-                "title": "Account Balance Inquiry",
-                "messages": [
-                    {
-                        "role": "user",
-                        "content": "What is my account balance?",
-                        "timestamp": "2024-01-15T10:30:00"
-                    },
-                    {
-                        "role": "assistant",
-                        "content": "Your current account balance is...",
-                        "timestamp": "2024-01-15T10:30:05",
-                        "metadata": {
-                            "policy_action": "FETCH",
-                            "confidence": 0.95,
-                            "documents_retrieved": 3
-                        }
-                    }
-                ],
-                "is_archived": False,
-                "created_at": "2024-01-15T10:30:00",
-                "updated_at": "2024-01-15T10:30:05",
-                "message_count": 2
-            }
-        }
-
-
-# ============================================================================
-# REQUEST/RESPONSE MODELS (for API)
-# ============================================================================
-
-class CreateConversationRequest(BaseModel):
-    """Request body for creating a new conversation"""
+#     class Config:
+#         model_config = {
+#             "populate_by_name": True,
+#             "arbitrary_types_allowed": True,
+#             "json_encoders": {
+#                 ObjectId: str,
+#                 datetime: lambda v: v.isoformat(),
+#             },
+#         }
+#         schema_extra = {
+#             "example": {
+#                 "user_id": "user_123",
+#                 "title": "Account Balance Inquiry",
+#                 "messages": [
+#                     {
+#                         "role": "user",
+#                         "content": "What is my account balance?",
+#                         "timestamp": "2024-01-15T10:30:00"
+#                     },
+#                     {
+#                         "role": "assistant",
+#                         "content": "Your current account balance is...",
+#                         "timestamp": "2024-01-15T10:30:05",
+#                         "metadata": {
+#                             "policy_action": "FETCH",
+#                             "confidence": 0.95,
+#                             "documents_retrieved": 3
+#                         }
+#                     }
+#                 ],
+#                 "is_archived": False,
+#                 "created_at": "2024-01-15T10:30:00",
+#                 "updated_at": "2024-01-15T10:30:05",
+#                 "message_count": 2
+#             }
+#         }
+
+
+# # ============================================================================
+# # REQUEST/RESPONSE MODELS (for API)
+# # ============================================================================
+
+# class CreateConversationRequest(BaseModel):
+#     """Request body for creating a new conversation"""
     
-    title: Optional[str] = Field(
-        default=None,
-        description="Optional custom title. If not provided, will be auto-generated from first message",
-        max_length=100
-    )
-    first_message: Optional[str] = Field(
-        default=None,
-        description="Optional first user message to start the conversation",
-        max_length=1000
-    )
+#     title: Optional[str] = Field(
+#         default=None,
+#         description="Optional custom title. If not provided, will be auto-generated from first message",
+#         max_length=100
+#     )
+#     first_message: Optional[str] = Field(
+#         default=None,
+#         description="Optional first user message to start the conversation",
+#         max_length=1000
+#     )
     
-    class Config:
-        schema_extra = {
-            "example": {
-                "title": "Savings Account Help",
-                "first_message": "How do I open a savings account?"
-            }
-        }
+#     class Config:
+#         schema_extra = {
+#             "example": {
+#                 "title": "Savings Account Help",
+#                 "first_message": "How do I open a savings account?"
+#             }
+#         }
 
 
-class AddMessageRequest(BaseModel):
-    """Request body for adding a message to conversation"""
+# class AddMessageRequest(BaseModel):
+#     """Request body for adding a message to conversation"""
     
-    message: str = Field(..., description="User message to add")
+#     message: str = Field(..., description="User message to add")
     
-    class Config:
-        schema_extra = {
-            "example": {
-                "message": "What are the interest rates?"
-            }
-        }
+#     class Config:
+#         schema_extra = {
+#             "example": {
+#                 "message": "What are the interest rates?"
+#             }
+#         }
 
 
-class UpdateConversationRequest(BaseModel):
-    """Request body for updating conversation properties"""
+# class UpdateConversationRequest(BaseModel):
+#     """Request body for updating conversation properties"""
     
-    title: Optional[str] = Field(default=None, description="New title")
-    is_archived: Optional[bool] = Field(default=None, description="Archive status")
+#     title: Optional[str] = Field(default=None, description="New title")
+#     is_archived: Optional[bool] = Field(default=None, description="Archive status")
     
-    class Config:
-        schema_extra = {
-            "example": {
-                "title": "Fixed Deposit Rates Discussion"
-            }
-        }
+#     class Config:
+#         schema_extra = {
+#             "example": {
+#                 "title": "Fixed Deposit Rates Discussion"
+#             }
+#         }
 
 
-class ConversationResponse(BaseModel):
-    """Response model for single conversation"""
+# class ConversationResponse(BaseModel):
+#     """Response model for single conversation"""
     
-    id: str = Field(..., description="Conversation ID")
-    user_id: str
-    title: str
-    messages: List[Message]
-    is_archived: bool
-    created_at: datetime
-    updated_at: datetime
-    last_message_at: Optional[datetime]
-    message_count: int
+#     id: str = Field(..., description="Conversation ID")
+#     user_id: str
+#     title: str
+#     messages: List[Message]
+#     is_archived: bool
+#     created_at: datetime
+#     updated_at: datetime
+#     last_message_at: Optional[datetime]
+#     message_count: int
     
-    class Config:
-        json_encoders = {
-            datetime: lambda v: v.isoformat()
-        }
+#     class Config:
+#         json_encoders = {
+#             datetime: lambda v: v.isoformat()
+#         }
 
 
-class ConversationListResponse(BaseModel):
-    """Response model for list of conversations (without full messages)"""
+# class ConversationListResponse(BaseModel):
+#     """Response model for list of conversations (without full messages)"""
     
-    id: str
-    user_id: str
-    title: str
-    preview: str = Field(..., description="Last message preview (first 100 chars)")
-    is_archived: bool
-    created_at: datetime
-    updated_at: datetime
-    last_message_at: Optional[datetime]
-    message_count: int
+#     id: str
+#     user_id: str
+#     title: str
+#     preview: str = Field(..., description="Last message preview (first 100 chars)")
+#     is_archived: bool
+#     created_at: datetime
+#     updated_at: datetime
+#     last_message_at: Optional[datetime]
+#     message_count: int
     
-    class Config:
-        json_encoders = {
-            datetime: lambda v: v.isoformat()
-        }
-        schema_extra = {
-            "example": {
-                "id": "507f1f77bcf86cd799439011",
-                "user_id": "user_123",
-                "title": "Account Balance Inquiry",
-                "preview": "What is my current account balance?",
-                "is_archived": False,
-                "created_at": "2024-01-15T10:30:00",
-                "updated_at": "2024-01-15T10:35:00",
-                "last_message_at": "2024-01-15T10:35:00",
-                "message_count": 6
-            }
-        }
-
-
-class ConversationListResult(BaseModel):
-    """Paginated list of conversations"""
+#     class Config:
+#         json_encoders = {
+#             datetime: lambda v: v.isoformat()
+#         }
+#         schema_extra = {
+#             "example": {
+#                 "id": "507f1f77bcf86cd799439011",
+#                 "user_id": "user_123",
+#                 "title": "Account Balance Inquiry",
+#                 "preview": "What is my current account balance?",
+#                 "is_archived": False,
+#                 "created_at": "2024-01-15T10:30:00",
+#                 "updated_at": "2024-01-15T10:35:00",
+#                 "last_message_at": "2024-01-15T10:35:00",
+#                 "message_count": 6
+#             }
+#         }
+
+
+# class ConversationListResult(BaseModel):
+#     """Paginated list of conversations"""
     
-    conversations: List[ConversationListResponse]
-    total: int = Field(..., description="Total conversations matching filter")
-    page: int = Field(default=1, description="Current page number")
-    page_size: int = Field(default=20, description="Items per page")
-    has_more: bool = Field(..., description="Are there more pages?")
+#     conversations: List[ConversationListResponse]
+#     total: int = Field(..., description="Total conversations matching filter")
+#     page: int = Field(default=1, description="Current page number")
+#     page_size: int = Field(default=20, description="Items per page")
+#     has_more: bool = Field(..., description="Are there more pages?")
     
-    class Config:
-        schema_extra = {
-            "example": {
-                "conversations": [],
-                "total": 42,
-                "page": 1,
-                "page_size": 20,
-                "has_more": True
-            }
-        }
+#     class Config:
+#         schema_extra = {
+#             "example": {
+#                 "conversations": [],
+#                 "total": 42,
+#                 "page": 1,
+#                 "page_size": 20,
+#                 "has_more": True
+#             }
+#         }
 
 
 
 
-# class PyObjectId(ObjectId):
-#     """Custom ObjectId type for Pydantic validation"""
+# # class PyObjectId(ObjectId):
+# #     """Custom ObjectId type for Pydantic validation"""
     
-#     @classmethod
-#     def __get_validators__(cls):
-#         yield cls.validate
+# #     @classmethod
+# #     def __get_validators__(cls):
+# #         yield cls.validate
     
-#     @classmethod
-#     def validate(cls, v):
-#         if not ObjectId.is_valid(v):
-#             raise ValueError("Invalid ObjectId")
-#         return ObjectId(v)
+# #     @classmethod
+# #     def validate(cls, v):
+# #         if not ObjectId.is_valid(v):
+# #             raise ValueError("Invalid ObjectId")
+# #         return ObjectId(v)
     
-#     @classmethod
-#     def __modify_schema__(cls, field_schema):
-#         field_schema.update(type="string")
+# #     @classmethod
+# #     def __modify_schema__(cls, field_schema):
+# #         field_schema.update(type="string")
 
 
 
 
-        # allow_population_by_field_name = True
-        # arbitrary_types_allowed = True
-        # model_config = {
-        #     "populate_by_name": True,
-        #     "arbitrary_types_allowed": True,
-        # }
+#         # allow_population_by_field_name = True
+#         # arbitrary_types_allowed = True
+#         # model_config = {
+#         #     "populate_by_name": True,
+#         #     "arbitrary_types_allowed": True,
+#         # }
 
-        # json_encoders = {
-        #     ObjectId: str,
-        #     datetime: lambda v: v.isoformat()
-        # }
+#         # json_encoders = {
+#         #     ObjectId: str,
+#         #     datetime: lambda v: v.isoformat()
+#         # }