refac: async db
This commit is contained in:
@@ -3,8 +3,9 @@ import time
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import uuid
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from typing import Any, Optional
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from sqlalchemy.orm import Session
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from open_webui.internal.db import Base, get_db_context
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from sqlalchemy import select, delete, func, cast, Integer
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from sqlalchemy.ext.asyncio import AsyncSession
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from open_webui.internal.db import Base, get_async_db_context
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from open_webui.utils.response import normalize_usage
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from pydantic import BaseModel, ConfigDict
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@@ -16,7 +17,6 @@ from sqlalchemy import (
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Text,
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JSON,
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Index,
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func,
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)
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####################
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@@ -129,23 +129,23 @@ class ChatMessageModel(BaseModel):
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class ChatMessageTable:
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def upsert_message(
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async def upsert_message(
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self,
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message_id: str,
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chat_id: str,
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user_id: str,
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data: dict,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> Optional[ChatMessageModel]:
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"""Insert or update a chat message."""
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with get_db_context(db) as db:
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async with get_async_db_context(db) as db:
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now = int(time.time())
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timestamp = data.get('timestamp', now)
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# Use composite ID: {chat_id}-{message_id}
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composite_id = f'{chat_id}-{message_id}'
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existing = db.get(ChatMessage, composite_id)
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existing = await db.get(ChatMessage, composite_id)
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if existing:
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# Update existing
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if 'role' in data:
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@@ -178,8 +178,8 @@ class ChatMessageTable:
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# from accidentally clearing the primary response's token counts
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existing.usage = {**(existing.usage or {}), **usage}
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existing.updated_at = now
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db.commit()
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db.refresh(existing)
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await db.commit()
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await db.refresh(existing)
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return ChatMessageModel.model_validate(existing)
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else:
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# Insert new
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@@ -205,143 +205,155 @@ class ChatMessageTable:
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updated_at=now,
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)
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db.add(message)
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db.commit()
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db.refresh(message)
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await db.commit()
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await db.refresh(message)
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return ChatMessageModel.model_validate(message)
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def get_message_by_id(self, id: str, db: Optional[Session] = None) -> Optional[ChatMessageModel]:
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with get_db_context(db) as db:
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message = db.get(ChatMessage, id)
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async def get_message_by_id(self, id: str, db: Optional[AsyncSession] = None) -> Optional[ChatMessageModel]:
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async with get_async_db_context(db) as db:
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message = await db.get(ChatMessage, id)
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return ChatMessageModel.model_validate(message) if message else None
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def get_messages_by_chat_id(self, chat_id: str, db: Optional[Session] = None) -> list[ChatMessageModel]:
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with get_db_context(db) as db:
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messages = db.query(ChatMessage).filter_by(chat_id=chat_id).order_by(ChatMessage.created_at.asc()).all()
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async def get_messages_by_chat_id(self, chat_id: str, db: Optional[AsyncSession] = None) -> list[ChatMessageModel]:
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async with get_async_db_context(db) as db:
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result = await db.execute(
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select(ChatMessage).filter_by(chat_id=chat_id).order_by(ChatMessage.created_at.asc())
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)
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messages = result.scalars().all()
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return [ChatMessageModel.model_validate(message) for message in messages]
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def get_messages_by_user_id(
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async def get_messages_by_user_id(
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self,
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user_id: str,
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skip: int = 0,
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limit: int = 50,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> list[ChatMessageModel]:
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with get_db_context(db) as db:
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messages = (
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db.query(ChatMessage)
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async with get_async_db_context(db) as db:
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result = await db.execute(
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select(ChatMessage)
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.filter_by(user_id=user_id)
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.order_by(ChatMessage.created_at.desc())
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.offset(skip)
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.limit(limit)
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.all()
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)
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messages = result.scalars().all()
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return [ChatMessageModel.model_validate(message) for message in messages]
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def get_messages_by_model_id(
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async def get_messages_by_model_id(
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self,
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model_id: str,
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start_date: Optional[int] = None,
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end_date: Optional[int] = None,
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skip: int = 0,
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limit: int = 100,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> list[ChatMessageModel]:
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with get_db_context(db) as db:
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query = db.query(ChatMessage).filter_by(model_id=model_id)
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async with get_async_db_context(db) as db:
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stmt = select(ChatMessage).filter_by(model_id=model_id)
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if start_date:
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query = query.filter(ChatMessage.created_at >= start_date)
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stmt = stmt.filter(ChatMessage.created_at >= start_date)
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if end_date:
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query = query.filter(ChatMessage.created_at <= end_date)
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messages = query.order_by(ChatMessage.created_at.desc()).offset(skip).limit(limit).all()
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stmt = stmt.filter(ChatMessage.created_at <= end_date)
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stmt = stmt.order_by(ChatMessage.created_at.desc()).offset(skip).limit(limit)
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result = await db.execute(stmt)
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messages = result.scalars().all()
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return [ChatMessageModel.model_validate(message) for message in messages]
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def get_chat_ids_by_model_id(
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async def get_chat_ids_by_model_id(
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self,
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model_id: str,
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start_date: Optional[int] = None,
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end_date: Optional[int] = None,
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skip: int = 0,
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limit: int = 50,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> list[str]:
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"""Get distinct chat_ids that used a specific model."""
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with get_db_context(db) as db:
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query = db.query(
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ChatMessage.chat_id,
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func.max(ChatMessage.created_at).label('last_message_at'),
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).filter(ChatMessage.model_id == model_id)
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async with get_async_db_context(db) as db:
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stmt = (
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select(
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ChatMessage.chat_id,
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func.max(ChatMessage.created_at).label('last_message_at'),
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)
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.filter(ChatMessage.model_id == model_id)
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)
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if start_date:
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query = query.filter(ChatMessage.created_at >= start_date)
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stmt = stmt.filter(ChatMessage.created_at >= start_date)
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if end_date:
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query = query.filter(ChatMessage.created_at <= end_date)
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stmt = stmt.filter(ChatMessage.created_at <= end_date)
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# Group by chat_id and order by most recent message in each chat
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# Secondary sort on chat_id ensures deterministic pagination
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# (prevents duplicates across pages when timestamps tie)
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chat_ids = (
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query.group_by(ChatMessage.chat_id)
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stmt = (
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stmt.group_by(ChatMessage.chat_id)
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.order_by(func.max(ChatMessage.created_at).desc(), ChatMessage.chat_id)
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.offset(skip)
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.limit(limit)
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.all()
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)
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result = await db.execute(stmt)
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chat_ids = result.all()
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return [chat_id for chat_id, _ in chat_ids]
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def delete_messages_by_chat_id(self, chat_id: str, db: Optional[Session] = None) -> bool:
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with get_db_context(db) as db:
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db.query(ChatMessage).filter_by(chat_id=chat_id).delete()
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db.commit()
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async def delete_messages_by_chat_id(self, chat_id: str, db: Optional[AsyncSession] = None) -> bool:
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async with get_async_db_context(db) as db:
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await db.execute(delete(ChatMessage).filter_by(chat_id=chat_id))
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await db.commit()
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return True
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# Analytics methods
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def get_message_count_by_model(
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async def get_message_count_by_model(
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self,
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start_date: Optional[int] = None,
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end_date: Optional[int] = None,
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group_id: Optional[str] = None,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> dict[str, int]:
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with get_db_context(db) as db:
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from sqlalchemy import func
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async with get_async_db_context(db) as db:
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from open_webui.models.groups import GroupMember
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query = db.query(ChatMessage.model_id, func.count(ChatMessage.id).label('count')).filter(
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ChatMessage.role == 'assistant',
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ChatMessage.model_id.isnot(None),
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~ChatMessage.user_id.like('shared-%'),
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stmt = (
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select(ChatMessage.model_id, func.count(ChatMessage.id).label('count'))
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.filter(
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ChatMessage.role == 'assistant',
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ChatMessage.model_id.isnot(None),
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~ChatMessage.user_id.like('shared-%'),
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)
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)
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if start_date:
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query = query.filter(ChatMessage.created_at >= start_date)
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stmt = stmt.filter(ChatMessage.created_at >= start_date)
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if end_date:
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query = query.filter(ChatMessage.created_at <= end_date)
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stmt = stmt.filter(ChatMessage.created_at <= end_date)
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if group_id:
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group_users = db.query(GroupMember.user_id).filter(GroupMember.group_id == group_id).subquery()
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query = query.filter(ChatMessage.user_id.in_(group_users))
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group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
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stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
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results = query.group_by(ChatMessage.model_id).all()
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return {row.model_id: row.count for row in results}
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stmt = stmt.group_by(ChatMessage.model_id)
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result = await db.execute(stmt)
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return {row.model_id: row.count for row in result.all()}
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def get_token_usage_by_model(
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async def get_token_usage_by_model(
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self,
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start_date: Optional[int] = None,
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end_date: Optional[int] = None,
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group_id: Optional[str] = None,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> dict[str, dict]:
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"""Aggregate token usage by model using database-level aggregation."""
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with get_db_context(db) as db:
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from sqlalchemy import func, cast, Integer
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async with get_async_db_context(db) as db:
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from open_webui.models.groups import GroupMember
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dialect = db.bind.dialect.name
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# We need the dialect to determine JSON extraction syntax
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# For async sessions, access via get_bind()
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bind = await db.connection()
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dialect = bind.dialect.name
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if dialect == 'sqlite':
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input_tokens = cast(func.json_extract(ChatMessage.usage, '$.input_tokens'), Integer)
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output_tokens = cast(func.json_extract(ChatMessage.usage, '$.output_tokens'), Integer)
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elif dialect == 'postgresql':
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# Use json_extract_path_text for PostgreSQL JSON columns
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input_tokens = cast(
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func.json_extract_path_text(ChatMessage.usage, 'input_tokens'),
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Integer,
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@@ -353,27 +365,31 @@ class ChatMessageTable:
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else:
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raise NotImplementedError(f'Unsupported dialect: {dialect}')
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query = db.query(
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ChatMessage.model_id,
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func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
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func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
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func.count(ChatMessage.id).label('message_count'),
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).filter(
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ChatMessage.role == 'assistant',
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ChatMessage.model_id.isnot(None),
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ChatMessage.usage.isnot(None),
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~ChatMessage.user_id.like('shared-%'),
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stmt = (
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select(
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ChatMessage.model_id,
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func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
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func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
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func.count(ChatMessage.id).label('message_count'),
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)
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.filter(
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ChatMessage.role == 'assistant',
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ChatMessage.model_id.isnot(None),
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ChatMessage.usage.isnot(None),
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~ChatMessage.user_id.like('shared-%'),
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)
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)
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if start_date:
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query = query.filter(ChatMessage.created_at >= start_date)
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stmt = stmt.filter(ChatMessage.created_at >= start_date)
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if end_date:
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query = query.filter(ChatMessage.created_at <= end_date)
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stmt = stmt.filter(ChatMessage.created_at <= end_date)
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if group_id:
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group_users = db.query(GroupMember.user_id).filter(GroupMember.group_id == group_id).subquery()
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query = query.filter(ChatMessage.user_id.in_(group_users))
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group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
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stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
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results = query.group_by(ChatMessage.model_id).all()
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stmt = stmt.group_by(ChatMessage.model_id)
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result = await db.execute(stmt)
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return {
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row.model_id: {
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@@ -382,28 +398,27 @@ class ChatMessageTable:
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'total_tokens': row.input_tokens + row.output_tokens,
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'message_count': row.message_count,
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}
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for row in results
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for row in result.all()
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}
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def get_token_usage_by_user(
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async def get_token_usage_by_user(
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self,
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start_date: Optional[int] = None,
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end_date: Optional[int] = None,
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group_id: Optional[str] = None,
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db: Optional[Session] = None,
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db: Optional[AsyncSession] = None,
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) -> dict[str, dict]:
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"""Aggregate token usage by user using database-level aggregation."""
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with get_db_context(db) as db:
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from sqlalchemy import func, cast, Integer
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async with get_async_db_context(db) as db:
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from open_webui.models.groups import GroupMember
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dialect = db.bind.dialect.name
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bind = await db.connection()
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dialect = bind.dialect.name
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if dialect == 'sqlite':
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input_tokens = cast(func.json_extract(ChatMessage.usage, '$.input_tokens'), Integer)
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output_tokens = cast(func.json_extract(ChatMessage.usage, '$.output_tokens'), Integer)
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elif dialect == 'postgresql':
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# Use json_extract_path_text for PostgreSQL JSON columns
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input_tokens = cast(
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func.json_extract_path_text(ChatMessage.usage, 'input_tokens'),
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Integer,
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@@ -415,27 +430,31 @@ class ChatMessageTable:
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else:
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raise NotImplementedError(f'Unsupported dialect: {dialect}')
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query = db.query(
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ChatMessage.user_id,
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func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
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func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
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func.count(ChatMessage.id).label('message_count'),
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).filter(
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ChatMessage.role == 'assistant',
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ChatMessage.user_id.isnot(None),
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ChatMessage.usage.isnot(None),
|
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~ChatMessage.user_id.like('shared-%'),
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stmt = (
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select(
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ChatMessage.user_id,
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func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
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func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
|
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func.count(ChatMessage.id).label('message_count'),
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)
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.filter(
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ChatMessage.role == 'assistant',
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ChatMessage.user_id.isnot(None),
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ChatMessage.usage.isnot(None),
|
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~ChatMessage.user_id.like('shared-%'),
|
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)
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)
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if start_date:
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query = query.filter(ChatMessage.created_at >= start_date)
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stmt = stmt.filter(ChatMessage.created_at >= start_date)
|
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if end_date:
|
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query = query.filter(ChatMessage.created_at <= end_date)
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stmt = stmt.filter(ChatMessage.created_at <= end_date)
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if group_id:
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group_users = db.query(GroupMember.user_id).filter(GroupMember.group_id == group_id).subquery()
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query = query.filter(ChatMessage.user_id.in_(group_users))
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group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
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stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
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results = query.group_by(ChatMessage.user_id).all()
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stmt = stmt.group_by(ChatMessage.user_id)
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result = await db.execute(stmt)
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return {
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row.user_id: {
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@@ -444,88 +463,94 @@ class ChatMessageTable:
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'total_tokens': row.input_tokens + row.output_tokens,
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'message_count': row.message_count,
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}
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for row in results
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for row in result.all()
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}
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def get_message_count_by_user(
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async def get_message_count_by_user(
|
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self,
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start_date: Optional[int] = None,
|
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end_date: Optional[int] = None,
|
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group_id: Optional[str] = None,
|
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db: Optional[Session] = None,
|
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db: Optional[AsyncSession] = None,
|
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) -> dict[str, int]:
|
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with get_db_context(db) as db:
|
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from sqlalchemy import func
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async with get_async_db_context(db) as db:
|
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from open_webui.models.groups import GroupMember
|
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|
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query = db.query(ChatMessage.user_id, func.count(ChatMessage.id).label('count')).filter(
|
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~ChatMessage.user_id.like('shared-%')
|
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stmt = (
|
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select(ChatMessage.user_id, func.count(ChatMessage.id).label('count'))
|
||||
.filter(~ChatMessage.user_id.like('shared-%'))
|
||||
)
|
||||
|
||||
if start_date:
|
||||
query = query.filter(ChatMessage.created_at >= start_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at >= start_date)
|
||||
if end_date:
|
||||
query = query.filter(ChatMessage.created_at <= end_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at <= end_date)
|
||||
if group_id:
|
||||
group_users = db.query(GroupMember.user_id).filter(GroupMember.group_id == group_id).subquery()
|
||||
query = query.filter(ChatMessage.user_id.in_(group_users))
|
||||
group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
|
||||
stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
|
||||
|
||||
results = query.group_by(ChatMessage.user_id).all()
|
||||
return {row.user_id: row.count for row in results}
|
||||
stmt = stmt.group_by(ChatMessage.user_id)
|
||||
result = await db.execute(stmt)
|
||||
return {row.user_id: row.count for row in result.all()}
|
||||
|
||||
def get_message_count_by_chat(
|
||||
async def get_message_count_by_chat(
|
||||
self,
|
||||
start_date: Optional[int] = None,
|
||||
end_date: Optional[int] = None,
|
||||
group_id: Optional[str] = None,
|
||||
db: Optional[Session] = None,
|
||||
db: Optional[AsyncSession] = None,
|
||||
) -> dict[str, int]:
|
||||
with get_db_context(db) as db:
|
||||
from sqlalchemy import func
|
||||
async with get_async_db_context(db) as db:
|
||||
from open_webui.models.groups import GroupMember
|
||||
|
||||
query = db.query(ChatMessage.chat_id, func.count(ChatMessage.id).label('count')).filter(
|
||||
~ChatMessage.user_id.like('shared-%')
|
||||
stmt = (
|
||||
select(ChatMessage.chat_id, func.count(ChatMessage.id).label('count'))
|
||||
.filter(~ChatMessage.user_id.like('shared-%'))
|
||||
)
|
||||
|
||||
if start_date:
|
||||
query = query.filter(ChatMessage.created_at >= start_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at >= start_date)
|
||||
if end_date:
|
||||
query = query.filter(ChatMessage.created_at <= end_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at <= end_date)
|
||||
if group_id:
|
||||
group_users = db.query(GroupMember.user_id).filter(GroupMember.group_id == group_id).subquery()
|
||||
query = query.filter(ChatMessage.user_id.in_(group_users))
|
||||
group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
|
||||
stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
|
||||
|
||||
results = query.group_by(ChatMessage.chat_id).all()
|
||||
return {row.chat_id: row.count for row in results}
|
||||
stmt = stmt.group_by(ChatMessage.chat_id)
|
||||
result = await db.execute(stmt)
|
||||
return {row.chat_id: row.count for row in result.all()}
|
||||
|
||||
def get_daily_message_counts_by_model(
|
||||
async def get_daily_message_counts_by_model(
|
||||
self,
|
||||
start_date: Optional[int] = None,
|
||||
end_date: Optional[int] = None,
|
||||
group_id: Optional[str] = None,
|
||||
db: Optional[Session] = None,
|
||||
db: Optional[AsyncSession] = None,
|
||||
) -> dict[str, dict[str, int]]:
|
||||
"""Get message counts grouped by day and model."""
|
||||
with get_db_context(db) as db:
|
||||
async with get_async_db_context(db) as db:
|
||||
from datetime import datetime, timedelta
|
||||
from open_webui.models.groups import GroupMember
|
||||
|
||||
query = db.query(ChatMessage.created_at, ChatMessage.model_id).filter(
|
||||
ChatMessage.role == 'assistant',
|
||||
ChatMessage.model_id.isnot(None),
|
||||
~ChatMessage.user_id.like('shared-%'),
|
||||
stmt = (
|
||||
select(ChatMessage.created_at, ChatMessage.model_id)
|
||||
.filter(
|
||||
ChatMessage.role == 'assistant',
|
||||
ChatMessage.model_id.isnot(None),
|
||||
~ChatMessage.user_id.like('shared-%'),
|
||||
)
|
||||
)
|
||||
|
||||
if start_date:
|
||||
query = query.filter(ChatMessage.created_at >= start_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at >= start_date)
|
||||
if end_date:
|
||||
query = query.filter(ChatMessage.created_at <= end_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at <= end_date)
|
||||
if group_id:
|
||||
group_users = db.query(GroupMember.user_id).filter(GroupMember.group_id == group_id).subquery()
|
||||
query = query.filter(ChatMessage.user_id.in_(group_users))
|
||||
group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
|
||||
stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
|
||||
|
||||
results = query.all()
|
||||
result = await db.execute(stmt)
|
||||
results = result.all()
|
||||
|
||||
# Group by date -> model -> count
|
||||
daily_counts: dict[str, dict[str, int]] = {}
|
||||
@@ -547,28 +572,32 @@ class ChatMessageTable:
|
||||
|
||||
return daily_counts
|
||||
|
||||
def get_hourly_message_counts_by_model(
|
||||
async def get_hourly_message_counts_by_model(
|
||||
self,
|
||||
start_date: Optional[int] = None,
|
||||
end_date: Optional[int] = None,
|
||||
db: Optional[Session] = None,
|
||||
db: Optional[AsyncSession] = None,
|
||||
) -> dict[str, dict[str, int]]:
|
||||
"""Get message counts grouped by hour and model."""
|
||||
with get_db_context(db) as db:
|
||||
async with get_async_db_context(db) as db:
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
query = db.query(ChatMessage.created_at, ChatMessage.model_id).filter(
|
||||
ChatMessage.role == 'assistant',
|
||||
ChatMessage.model_id.isnot(None),
|
||||
~ChatMessage.user_id.like('shared-%'),
|
||||
stmt = (
|
||||
select(ChatMessage.created_at, ChatMessage.model_id)
|
||||
.filter(
|
||||
ChatMessage.role == 'assistant',
|
||||
ChatMessage.model_id.isnot(None),
|
||||
~ChatMessage.user_id.like('shared-%'),
|
||||
)
|
||||
)
|
||||
|
||||
if start_date:
|
||||
query = query.filter(ChatMessage.created_at >= start_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at >= start_date)
|
||||
if end_date:
|
||||
query = query.filter(ChatMessage.created_at <= end_date)
|
||||
stmt = stmt.filter(ChatMessage.created_at <= end_date)
|
||||
|
||||
results = query.all()
|
||||
result = await db.execute(stmt)
|
||||
results = result.all()
|
||||
|
||||
# Group by hour -> model -> count
|
||||
hourly_counts: dict[str, dict[str, int]] = {}
|
||||
|
||||
Reference in New Issue
Block a user