Files
open-webui/backend/open_webui/routers/analytics.py
Tim Baek 599cd2eeeb feat: analytics backend API with chat_message table
- Add chat_message table for message-level analytics with usage JSON field
- Add migration to backfill from existing chats
- Add /analytics endpoints: summary, models, users, daily
- Support hourly/daily granularity for time-series data
- Fill missing days/hours in date range
2026-02-01 07:04:13 +04:00

195 lines
6.0 KiB
Python

from typing import Optional
import logging
from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel
from open_webui.models.chat_messages import ChatMessages, ChatMessageModel
from open_webui.utils.auth import get_admin_user
from open_webui.internal.db import get_session
from sqlalchemy.orm import Session
log = logging.getLogger(__name__)
router = APIRouter()
####################
# Response Models
####################
class ModelAnalyticsEntry(BaseModel):
model_id: str
count: int
class ModelAnalyticsResponse(BaseModel):
models: list[ModelAnalyticsEntry]
class UserAnalyticsEntry(BaseModel):
user_id: str
name: Optional[str] = None
email: Optional[str] = None
count: int
class UserAnalyticsResponse(BaseModel):
users: list[UserAnalyticsEntry]
####################
# Endpoints
####################
@router.get("/models", response_model=ModelAnalyticsResponse)
async def get_model_analytics(
start_date: Optional[int] = Query(None, description="Start timestamp (epoch)"),
end_date: Optional[int] = Query(None, description="End timestamp (epoch)"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get message counts per model."""
counts = ChatMessages.get_message_count_by_model(
start_date=start_date, end_date=end_date, db=db
)
models = [
ModelAnalyticsEntry(model_id=model_id, count=count)
for model_id, count in sorted(counts.items(), key=lambda x: -x[1])
]
return ModelAnalyticsResponse(models=models)
@router.get("/users", response_model=UserAnalyticsResponse)
async def get_user_analytics(
start_date: Optional[int] = Query(None, description="Start timestamp (epoch)"),
end_date: Optional[int] = Query(None, description="End timestamp (epoch)"),
limit: int = Query(50, description="Max users to return"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get message counts per user with user info."""
from open_webui.models.users import Users
counts = ChatMessages.get_message_count_by_user(
start_date=start_date, end_date=end_date, db=db
)
# Get user info for top users
top_user_ids = [uid for uid, _ in sorted(counts.items(), key=lambda x: -x[1])[:limit]]
user_info = {u.id: u for u in Users.get_users_by_user_ids(top_user_ids, db=db)}
users = []
for user_id in top_user_ids:
u = user_info.get(user_id)
users.append(UserAnalyticsEntry(
user_id=user_id,
name=u.name if u else None,
email=u.email if u else None,
count=counts[user_id]
))
return UserAnalyticsResponse(users=users)
@router.get("/messages", response_model=list[ChatMessageModel])
async def get_messages(
model_id: Optional[str] = Query(None, description="Filter by model ID"),
user_id: Optional[str] = Query(None, description="Filter by user ID"),
chat_id: Optional[str] = Query(None, description="Filter by chat ID"),
start_date: Optional[int] = Query(None, description="Start timestamp (epoch)"),
end_date: Optional[int] = Query(None, description="End timestamp (epoch)"),
skip: int = Query(0),
limit: int = Query(50, le=100),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Query messages with filters."""
if chat_id:
return ChatMessages.get_messages_by_chat_id(chat_id=chat_id, db=db)
elif model_id:
return ChatMessages.get_messages_by_model_id(
model_id=model_id,
start_date=start_date,
end_date=end_date,
skip=skip,
limit=limit,
db=db,
)
elif user_id:
return ChatMessages.get_messages_by_user_id(
user_id=user_id, skip=skip, limit=limit, db=db
)
else:
# Return empty if no filter specified
return []
class SummaryResponse(BaseModel):
total_messages: int
total_chats: int
total_models: int
total_users: int
@router.get("/summary", response_model=SummaryResponse)
async def get_summary(
start_date: Optional[int] = Query(None, description="Start timestamp (epoch)"),
end_date: Optional[int] = Query(None, description="End timestamp (epoch)"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get summary statistics for the dashboard."""
model_counts = ChatMessages.get_message_count_by_model(
start_date=start_date, end_date=end_date, db=db
)
user_counts = ChatMessages.get_message_count_by_user(
start_date=start_date, end_date=end_date, db=db
)
chat_counts = ChatMessages.get_message_count_by_chat(
start_date=start_date, end_date=end_date, db=db
)
return SummaryResponse(
total_messages=sum(model_counts.values()),
total_chats=len(chat_counts),
total_models=len(model_counts),
total_users=len(user_counts),
)
class DailyStatsEntry(BaseModel):
date: str
models: dict[str, int]
class DailyStatsResponse(BaseModel):
data: list[DailyStatsEntry]
@router.get("/daily", response_model=DailyStatsResponse)
async def get_daily_stats(
start_date: Optional[int] = Query(None, description="Start timestamp (epoch)"),
end_date: Optional[int] = Query(None, description="End timestamp (epoch)"),
granularity: str = Query("daily", description="Granularity: 'hourly' or 'daily'"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get message counts grouped by model for time-series chart."""
if granularity == "hourly":
counts = ChatMessages.get_hourly_message_counts_by_model(
start_date=start_date, end_date=end_date, db=db
)
else:
counts = ChatMessages.get_daily_message_counts_by_model(
start_date=start_date, end_date=end_date, db=db
)
return DailyStatsResponse(
data=[
DailyStatsEntry(date=date, models=models)
for date, models in sorted(counts.items())
]
)