refac: async db

This commit is contained in:
Timothy Jaeryang Baek
2026-04-12 14:22:11 -05:00
parent b618d84065
commit 27169124f2
74 changed files with 4831 additions and 4479 deletions
+180 -151
View File
@@ -3,8 +3,9 @@ import time
import uuid
from typing import Any, Optional
from sqlalchemy.orm import Session
from open_webui.internal.db import Base, get_db_context
from sqlalchemy import select, delete, func, cast, Integer
from sqlalchemy.ext.asyncio import AsyncSession
from open_webui.internal.db import Base, get_async_db_context
from open_webui.utils.response import normalize_usage
from pydantic import BaseModel, ConfigDict
@@ -16,7 +17,6 @@ from sqlalchemy import (
Text,
JSON,
Index,
func,
)
####################
@@ -129,23 +129,23 @@ class ChatMessageModel(BaseModel):
class ChatMessageTable:
def upsert_message(
async def upsert_message(
self,
message_id: str,
chat_id: str,
user_id: str,
data: dict,
db: Optional[Session] = None,
db: Optional[AsyncSession] = None,
) -> Optional[ChatMessageModel]:
"""Insert or update a chat message."""
with get_db_context(db) as db:
async with get_async_db_context(db) as db:
now = int(time.time())
timestamp = data.get('timestamp', now)
# Use composite ID: {chat_id}-{message_id}
composite_id = f'{chat_id}-{message_id}'
existing = db.get(ChatMessage, composite_id)
existing = await db.get(ChatMessage, composite_id)
if existing:
# Update existing
if 'role' in data:
@@ -178,8 +178,8 @@ class ChatMessageTable:
# from accidentally clearing the primary response's token counts
existing.usage = {**(existing.usage or {}), **usage}
existing.updated_at = now
db.commit()
db.refresh(existing)
await db.commit()
await db.refresh(existing)
return ChatMessageModel.model_validate(existing)
else:
# Insert new
@@ -205,143 +205,155 @@ class ChatMessageTable:
updated_at=now,
)
db.add(message)
db.commit()
db.refresh(message)
await db.commit()
await db.refresh(message)
return ChatMessageModel.model_validate(message)
def get_message_by_id(self, id: str, db: Optional[Session] = None) -> Optional[ChatMessageModel]:
with get_db_context(db) as db:
message = db.get(ChatMessage, id)
async def get_message_by_id(self, id: str, db: Optional[AsyncSession] = None) -> Optional[ChatMessageModel]:
async with get_async_db_context(db) as db:
message = await db.get(ChatMessage, id)
return ChatMessageModel.model_validate(message) if message else None
def get_messages_by_chat_id(self, chat_id: str, db: Optional[Session] = None) -> list[ChatMessageModel]:
with get_db_context(db) as db:
messages = db.query(ChatMessage).filter_by(chat_id=chat_id).order_by(ChatMessage.created_at.asc()).all()
async def get_messages_by_chat_id(self, chat_id: str, db: Optional[AsyncSession] = None) -> list[ChatMessageModel]:
async with get_async_db_context(db) as db:
result = await db.execute(
select(ChatMessage).filter_by(chat_id=chat_id).order_by(ChatMessage.created_at.asc())
)
messages = result.scalars().all()
return [ChatMessageModel.model_validate(message) for message in messages]
def get_messages_by_user_id(
async def get_messages_by_user_id(
self,
user_id: str,
skip: int = 0,
limit: int = 50,
db: Optional[Session] = None,
db: Optional[AsyncSession] = None,
) -> list[ChatMessageModel]:
with get_db_context(db) as db:
messages = (
db.query(ChatMessage)
async with get_async_db_context(db) as db:
result = await db.execute(
select(ChatMessage)
.filter_by(user_id=user_id)
.order_by(ChatMessage.created_at.desc())
.offset(skip)
.limit(limit)
.all()
)
messages = result.scalars().all()
return [ChatMessageModel.model_validate(message) for message in messages]
def get_messages_by_model_id(
async def get_messages_by_model_id(
self,
model_id: str,
start_date: Optional[int] = None,
end_date: Optional[int] = None,
skip: int = 0,
limit: int = 100,
db: Optional[Session] = None,
db: Optional[AsyncSession] = None,
) -> list[ChatMessageModel]:
with get_db_context(db) as db:
query = db.query(ChatMessage).filter_by(model_id=model_id)
async with get_async_db_context(db) as db:
stmt = select(ChatMessage).filter_by(model_id=model_id)
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)
messages = query.order_by(ChatMessage.created_at.desc()).offset(skip).limit(limit).all()
stmt = stmt.filter(ChatMessage.created_at <= end_date)
stmt = stmt.order_by(ChatMessage.created_at.desc()).offset(skip).limit(limit)
result = await db.execute(stmt)
messages = result.scalars().all()
return [ChatMessageModel.model_validate(message) for message in messages]
def get_chat_ids_by_model_id(
async def get_chat_ids_by_model_id(
self,
model_id: str,
start_date: Optional[int] = None,
end_date: Optional[int] = None,
skip: int = 0,
limit: int = 50,
db: Optional[Session] = None,
db: Optional[AsyncSession] = None,
) -> list[str]:
"""Get distinct chat_ids that used a specific model."""
with get_db_context(db) as db:
query = db.query(
ChatMessage.chat_id,
func.max(ChatMessage.created_at).label('last_message_at'),
).filter(ChatMessage.model_id == model_id)
async with get_async_db_context(db) as db:
stmt = (
select(
ChatMessage.chat_id,
func.max(ChatMessage.created_at).label('last_message_at'),
)
.filter(ChatMessage.model_id == model_id)
)
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)
# Group by chat_id and order by most recent message in each chat
# Secondary sort on chat_id ensures deterministic pagination
# (prevents duplicates across pages when timestamps tie)
chat_ids = (
query.group_by(ChatMessage.chat_id)
stmt = (
stmt.group_by(ChatMessage.chat_id)
.order_by(func.max(ChatMessage.created_at).desc(), ChatMessage.chat_id)
.offset(skip)
.limit(limit)
.all()
)
result = await db.execute(stmt)
chat_ids = result.all()
return [chat_id for chat_id, _ in chat_ids]
def delete_messages_by_chat_id(self, chat_id: str, db: Optional[Session] = None) -> bool:
with get_db_context(db) as db:
db.query(ChatMessage).filter_by(chat_id=chat_id).delete()
db.commit()
async def delete_messages_by_chat_id(self, chat_id: str, db: Optional[AsyncSession] = None) -> bool:
async with get_async_db_context(db) as db:
await db.execute(delete(ChatMessage).filter_by(chat_id=chat_id))
await db.commit()
return True
# Analytics methods
def get_message_count_by_model(
async def get_message_count_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, 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.model_id, func.count(ChatMessage.id).label('count')).filter(
ChatMessage.role == 'assistant',
ChatMessage.model_id.isnot(None),
~ChatMessage.user_id.like('shared-%'),
stmt = (
select(ChatMessage.model_id, func.count(ChatMessage.id).label('count'))
.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.group_by(ChatMessage.model_id).all()
return {row.model_id: row.count for row in results}
stmt = stmt.group_by(ChatMessage.model_id)
result = await db.execute(stmt)
return {row.model_id: row.count for row in result.all()}
def get_token_usage_by_model(
async def get_token_usage_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]:
"""Aggregate token usage by model using database-level aggregation."""
with get_db_context(db) as db:
from sqlalchemy import func, cast, Integer
async with get_async_db_context(db) as db:
from open_webui.models.groups import GroupMember
dialect = db.bind.dialect.name
# We need the dialect to determine JSON extraction syntax
# For async sessions, access via get_bind()
bind = await db.connection()
dialect = bind.dialect.name
if dialect == 'sqlite':
input_tokens = cast(func.json_extract(ChatMessage.usage, '$.input_tokens'), Integer)
output_tokens = cast(func.json_extract(ChatMessage.usage, '$.output_tokens'), Integer)
elif dialect == 'postgresql':
# Use json_extract_path_text for PostgreSQL JSON columns
input_tokens = cast(
func.json_extract_path_text(ChatMessage.usage, 'input_tokens'),
Integer,
@@ -353,27 +365,31 @@ class ChatMessageTable:
else:
raise NotImplementedError(f'Unsupported dialect: {dialect}')
query = db.query(
ChatMessage.model_id,
func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
func.count(ChatMessage.id).label('message_count'),
).filter(
ChatMessage.role == 'assistant',
ChatMessage.model_id.isnot(None),
ChatMessage.usage.isnot(None),
~ChatMessage.user_id.like('shared-%'),
stmt = (
select(
ChatMessage.model_id,
func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
func.count(ChatMessage.id).label('message_count'),
)
.filter(
ChatMessage.role == 'assistant',
ChatMessage.model_id.isnot(None),
ChatMessage.usage.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.group_by(ChatMessage.model_id).all()
stmt = stmt.group_by(ChatMessage.model_id)
result = await db.execute(stmt)
return {
row.model_id: {
@@ -382,28 +398,27 @@ class ChatMessageTable:
'total_tokens': row.input_tokens + row.output_tokens,
'message_count': row.message_count,
}
for row in results
for row in result.all()
}
def get_token_usage_by_user(
async def get_token_usage_by_user(
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]:
"""Aggregate token usage by user using database-level aggregation."""
with get_db_context(db) as db:
from sqlalchemy import func, cast, Integer
async with get_async_db_context(db) as db:
from open_webui.models.groups import GroupMember
dialect = db.bind.dialect.name
bind = await db.connection()
dialect = bind.dialect.name
if dialect == 'sqlite':
input_tokens = cast(func.json_extract(ChatMessage.usage, '$.input_tokens'), Integer)
output_tokens = cast(func.json_extract(ChatMessage.usage, '$.output_tokens'), Integer)
elif dialect == 'postgresql':
# Use json_extract_path_text for PostgreSQL JSON columns
input_tokens = cast(
func.json_extract_path_text(ChatMessage.usage, 'input_tokens'),
Integer,
@@ -415,27 +430,31 @@ class ChatMessageTable:
else:
raise NotImplementedError(f'Unsupported dialect: {dialect}')
query = db.query(
ChatMessage.user_id,
func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
func.count(ChatMessage.id).label('message_count'),
).filter(
ChatMessage.role == 'assistant',
ChatMessage.user_id.isnot(None),
ChatMessage.usage.isnot(None),
~ChatMessage.user_id.like('shared-%'),
stmt = (
select(
ChatMessage.user_id,
func.coalesce(func.sum(input_tokens), 0).label('input_tokens'),
func.coalesce(func.sum(output_tokens), 0).label('output_tokens'),
func.count(ChatMessage.id).label('message_count'),
)
.filter(
ChatMessage.role == 'assistant',
ChatMessage.user_id.isnot(None),
ChatMessage.usage.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.group_by(ChatMessage.user_id).all()
stmt = stmt.group_by(ChatMessage.user_id)
result = await db.execute(stmt)
return {
row.user_id: {
@@ -444,88 +463,94 @@ class ChatMessageTable:
'total_tokens': row.input_tokens + row.output_tokens,
'message_count': row.message_count,
}
for row in results
for row in result.all()
}
def get_message_count_by_user(
async def get_message_count_by_user(
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.user_id, func.count(ChatMessage.id).label('count')).filter(
~ChatMessage.user_id.like('shared-%')
stmt = (
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]] = {}