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from datetime import datetime, timedelta
from collections import defaultdict
import logging
from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel
from open_webui.models.chat_messages import ChatMessages, ChatMessageModel
from open_webui.models.chats import Chats
from open_webui.models.groups import Groups
from open_webui.models.users import Users
from open_webui.models.feedbacks import Feedbacks
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
input_tokens: int = 0
output_tokens: int = 0
total_tokens: int = 0
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)"),
group_id: Optional[str] = Query(None, description="Filter by user group ID"),
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, group_id=group_id, 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)"),
group_id: Optional[str] = Query(None, description="Filter by user group ID"),
limit: int = Query(50, description="Max users to return"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get message counts and token usage per user with user info."""
counts = ChatMessages.get_message_count_by_user(
start_date=start_date, end_date=end_date, group_id=group_id, db=db
)
token_usage = ChatMessages.get_token_usage_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)
tokens = token_usage.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],
input_tokens=tokens.get("input_tokens", 0),
output_tokens=tokens.get("output_tokens", 0),
total_tokens=tokens.get("total_tokens", 0),
)
)
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)"),
group_id: Optional[str] = Query(None, description="Filter by user group ID"),
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, group_id=group_id, db=db
)
user_counts = ChatMessages.get_message_count_by_user(
start_date=start_date, end_date=end_date, group_id=group_id, db=db
)
chat_counts = ChatMessages.get_message_count_by_chat(
start_date=start_date, end_date=end_date, group_id=group_id, 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)"),
group_id: Optional[str] = Query(None, description="Filter by user group ID"),
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, group_id=group_id, db=db
)
return DailyStatsResponse(
data=[
DailyStatsEntry(date=date, models=models)
for date, models in sorted(counts.items())
]
)
class TokenUsageEntry(BaseModel):
model_id: str
input_tokens: int
output_tokens: int
total_tokens: int
message_count: int
class TokenUsageResponse(BaseModel):
models: list[TokenUsageEntry]
total_input_tokens: int
total_output_tokens: int
total_tokens: int
@router.get("/tokens", response_model=TokenUsageResponse)
async def get_token_usage(
start_date: Optional[int] = Query(None),
end_date: Optional[int] = Query(None),
group_id: Optional[str] = Query(None, description="Filter by user group ID"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get token usage aggregated by model."""
usage = ChatMessages.get_token_usage_by_model(
start_date=start_date, end_date=end_date, group_id=group_id, db=db
)
models = [
TokenUsageEntry(model_id=model_id, **data)
for model_id, data in sorted(usage.items(), key=lambda x: -x[1]["total_tokens"])
]
total_input = sum(m.input_tokens for m in models)
total_output = sum(m.output_tokens for m in models)
return TokenUsageResponse(
models=models,
total_input_tokens=total_input,
total_output_tokens=total_output,
total_tokens=total_input + total_output,
)
####################
# Model Chats Browser
####################
class ModelChatEntry(BaseModel):
chat_id: str
user_id: Optional[str] = None
user_name: Optional[str] = None
first_message: Optional[str] = None
updated_at: int
class ModelChatsResponse(BaseModel):
chats: list[ModelChatEntry]
total: int
@router.get("/models/{model_id}/chats", response_model=ModelChatsResponse)
async def get_model_chats(
model_id: str,
start_date: Optional[int] = Query(None),
end_date: Optional[int] = Query(None),
skip: int = Query(0),
limit: int = Query(50, le=100),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get chats that used a specific model, with preview and feedback info."""
# Get chat IDs that used this model
chat_ids = ChatMessages.get_chat_ids_by_model_id(
model_id=model_id,
start_date=start_date,
end_date=end_date,
skip=skip,
limit=limit,
db=db,
)
if not chat_ids:
return ModelChatsResponse(chats=[], total=0)
# Get chat details from messages only
chats_data = []
for chat_id in chat_ids:
messages = ChatMessages.get_messages_by_chat_id(chat_id, db=db)
if not messages:
continue
# Get user_id from first user message
first_user_msg = next((m for m in messages if m.role == "user"), None)
user_id = first_user_msg.user_id if first_user_msg else None
# Extract first message content as preview
first_message = None
if first_user_msg and first_user_msg.content:
content = first_user_msg.content
if isinstance(content, str):
first_message = content[:200]
elif isinstance(content, list):
text_parts = [b.get("text", "") for b in content if isinstance(b, dict)]
first_message = " ".join(text_parts)[:200]
# Get user info
user_name = None
if user_id:
user_info = Users.get_user_by_id(user_id, db=db)
user_name = user_info.name if user_info else None
# Timestamps from messages
updated_at = max(m.created_at for m in messages) if messages else 0
chats_data.append(
ModelChatEntry(
chat_id=chat_id,
user_id=user_id,
user_name=user_name,
first_message=first_message,
updated_at=updated_at,
)
)
return ModelChatsResponse(chats=chats_data, total=len(chats_data))
####################
# Model Overview
####################
class HistoryEntry(BaseModel):
date: str
won: int = 0
lost: int = 0
class TagEntry(BaseModel):
tag: str
count: int
class ModelOverviewResponse(BaseModel):
history: list[HistoryEntry]
tags: list[TagEntry]
@router.get("/models/{model_id}/overview", response_model=ModelOverviewResponse)
async def get_model_overview(
model_id: str,
days: int = Query(30, description="Number of days of history (0 for all)"),
user=Depends(get_admin_user),
db: Session = Depends(get_session),
):
"""Get model overview with feedback history and chat tags."""
# Get chat IDs that used this model
chat_ids = ChatMessages.get_chat_ids_by_model_id(
model_id=model_id,
start_date=None,
end_date=None,
skip=0,
limit=10000, # Get all chats
db=db,
)
# Get feedback history per day
history_counts: dict[str, dict] = defaultdict(lambda: {"won": 0, "lost": 0})
# Calculate start date for history
now = datetime.now()
start_dt = None
if days > 0:
start_dt = now - timedelta(days=days)
for chat_id in chat_ids:
feedbacks = Feedbacks.get_feedbacks_by_chat_id(chat_id, db=db)
for fb in feedbacks:
if fb.data and "rating" in fb.data:
rating = fb.data["rating"]
fb_date = datetime.fromtimestamp(fb.created_at)
# Filter by date range
if start_dt and fb_date < start_dt:
continue
date_str = fb_date.strftime("%Y-%m-%d")
if rating == 1:
history_counts[date_str]["won"] += 1
elif rating == -1:
history_counts[date_str]["lost"] += 1
# Fill in missing days
history = []
if history_counts or days > 0:
end_dt = now
if days > 0:
current = start_dt
elif history_counts:
# Find earliest date
min_date = min(history_counts.keys())
current = datetime.strptime(min_date, "%Y-%m-%d")
else:
current = now
while current <= end_dt:
date_str = current.strftime("%Y-%m-%d")
counts = history_counts.get(date_str, {"won": 0, "lost": 0})
history.append(
HistoryEntry(
date=date_str,
won=counts["won"],
lost=counts["lost"],
)
)
current += timedelta(days=1)
# Get chat tags
tag_counts: dict[str, int] = defaultdict(int)
for chat_id in chat_ids:
chat = Chats.get_chat_by_id(chat_id, db=db)
if chat and chat.meta:
for tag in chat.meta.get("tags", []):
tag_counts[tag] += 1
# Sort by count and take top 10
tags = [
TagEntry(tag=tag, count=count)
for tag, count in sorted(tag_counts.items(), key=lambda x: -x[1])[:10]
]
return ModelOverviewResponse(history=history, tags=tags)
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