Initial commit: Claude Code Monitor v1.0.0

Complete real-time monitoring dashboard for Claude Code

Features:
- FastAPI backend with REST API and WebSocket
- React + TypeScript frontend with dark theme
- SQLite database for event storage
- 6 hook scripts for Claude Code events
- Docker deployment setup
- Real-time event tracking and statistics
- Event filtering (ALL, TOOLS, AGENTS, PROMPTS, SESSIONS)
- Connection status indicator
- Reset stats functionality

Tech Stack:
- Backend: Python 3.11, FastAPI, SQLAlchemy, WebSockets
- Frontend: React 18, TypeScript, Vite
- Database: SQLite
- Deployment: Docker, Docker Compose

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
felix.zoesch
2025-12-15 09:49:06 +01:00
commit f6ef7ff5d3
48 changed files with 3375 additions and 0 deletions

0
backend/app/__init__.py Normal file
View File

View File

139
backend/app/api/events.py Normal file
View File

@@ -0,0 +1,139 @@
"""API endpoints for event management."""
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from typing import Optional
import json
from app.database import get_db
from app.schemas import EventCreate, EventResponse, EventListResponse
from app.crud import create_event, get_events, get_event_by_id, delete_all_events, get_statistics
from app.websocket import manager
router = APIRouter(prefix="/api/events", tags=["events"])
@router.post("", response_model=EventResponse, status_code=201)
async def create_event_endpoint(event: EventCreate, db: Session = Depends(get_db)):
"""
Create a new event.
This endpoint is called by Claude Code hook scripts to report events.
"""
try:
# Create event in database
db_event = create_event(db, event)
# Convert event to dict for WebSocket
event_dict = {
"id": db_event.id,
"session_id": db_event.session_id,
"event_type": db_event.event_type,
"tool_name": db_event.tool_name,
"tool_input": json.loads(db_event.tool_input) if db_event.tool_input else None,
"tool_output": db_event.tool_output,
"success": db_event.success,
"description": db_event.description,
"timestamp": db_event.timestamp,
"created_at": db_event.created_at.isoformat() if db_event.created_at else None,
}
# Get updated statistics
stats = get_statistics(db)
stats_dict = {
"total_events": stats.total_events,
"total_tools_used": stats.total_tools_used,
"total_agents": stats.total_agents,
"total_sessions": stats.total_sessions,
"last_updated": stats.last_updated,
}
# Broadcast to WebSocket clients
await manager.broadcast_event(event_dict, stats_dict)
return db_event
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error creating event: {str(e)}")
@router.get("", response_model=EventListResponse)
async def list_events(
skip: int = Query(0, ge=0, description="Number of events to skip"),
limit: int = Query(50, ge=1, le=100, description="Maximum number of events to return"),
event_type: Optional[str] = Query(None, description="Filter by event type (comma-separated for multiple)"),
session_id: Optional[str] = Query(None, description="Filter by session ID"),
tool_name: Optional[str] = Query(None, description="Filter by tool name"),
db: Session = Depends(get_db),
):
"""
Get a paginated list of events with optional filtering.
Supports filtering by:
- event_type: Single type or comma-separated list (e.g., "PreToolUse,PostToolUse")
- session_id: Filter events from a specific session
- tool_name: Filter events for a specific tool
"""
try:
events, total = get_events(
db,
skip=skip,
limit=limit,
event_type=event_type,
session_id=session_id,
tool_name=tool_name,
)
# Convert to response format
event_responses = []
for event in events:
event_dict = {
"id": event.id,
"session_id": event.session_id,
"event_type": event.event_type,
"tool_name": event.tool_name,
"tool_input": json.loads(event.tool_input) if event.tool_input else None,
"tool_output": event.tool_output,
"success": event.success,
"description": event.description,
"timestamp": event.timestamp,
"created_at": event.created_at,
}
event_responses.append(EventResponse(**event_dict))
return EventListResponse(
events=event_responses,
total=total,
page=skip // limit + 1,
page_size=limit,
has_more=(skip + limit) < total,
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error fetching events: {str(e)}")
@router.get("/{event_id}", response_model=EventResponse)
async def get_event(event_id: int, db: Session = Depends(get_db)):
"""Get a single event by ID."""
event = get_event_by_id(db, event_id)
if not event:
raise HTTPException(status_code=404, detail="Event not found")
return event
@router.delete("/reset", status_code=204)
async def reset_stats(db: Session = Depends(get_db)):
"""
Reset all statistics by deleting all events.
This is used by the "Reset Stats" button in the frontend.
"""
try:
delete_all_events(db)
# Broadcast reset notification to all clients
await manager.broadcast_stats_reset()
return None
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error resetting stats: {str(e)}")

View File

@@ -0,0 +1,50 @@
"""API endpoints for statistics."""
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from typing import List
from app.database import get_db
from app.schemas import StatisticsResponse, ToolUsageResponse, SessionResponse
from app.crud import get_statistics, get_tool_usage, get_sessions
router = APIRouter(prefix="/api/statistics", tags=["statistics"])
@router.get("", response_model=StatisticsResponse)
async def get_stats(db: Session = Depends(get_db)):
"""
Get current statistics.
Returns aggregated statistics including:
- Total events count
- Number of unique tools used
- Number of agents spawned
- Number of unique sessions
- Last update timestamp
"""
stats = get_statistics(db)
return stats
@router.get("/tools", response_model=List[ToolUsageResponse])
async def get_tool_stats(db: Session = Depends(get_db)):
"""
Get tool usage statistics.
Returns a list of all tools used with their usage counts and timestamps.
Sorted by usage count (descending).
"""
tools = get_tool_usage(db)
return tools
@router.get("/sessions", response_model=List[SessionResponse])
async def get_sessions_list(limit: int = 100, db: Session = Depends(get_db)):
"""
Get list of sessions.
Returns recent sessions with their metadata.
"""
sessions = get_sessions(db, limit=limit)
return sessions

View File

@@ -0,0 +1,65 @@
"""WebSocket API endpoint for real-time updates."""
from fastapi import APIRouter, WebSocket, WebSocketDisconnect, Depends
from sqlalchemy.orm import Session
import logging
import json
from app.websocket import manager
from app.database import get_db
from app.crud import get_statistics
router = APIRouter(tags=["websocket"])
logger = logging.getLogger(__name__)
@router.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
"""
WebSocket endpoint for real-time event updates.
Clients connect to this endpoint to receive:
- New events as they're created
- Updated statistics
- Reset notifications
Message types:
- event_created: New event with updated statistics
- stats_updated: Statistics update
- stats_reset: All stats have been reset
- connection_status: Connection status message
"""
await manager.connect(websocket)
try:
# Send initial connection message
await manager.send_personal_message(
{"type": "connection_status", "message": "Connected to Claude Code Monitor"},
websocket,
)
# Keep connection alive and handle incoming messages
while True:
try:
# Receive messages from client (for future features like pings)
data = await websocket.receive_text()
message = json.loads(data)
# Handle ping/pong for connection health
if message.get("type") == "ping":
await manager.send_personal_message(
{"type": "pong", "timestamp": message.get("timestamp")},
websocket,
)
except WebSocketDisconnect:
logger.info("Client disconnected")
break
except Exception as e:
logger.error(f"Error handling WebSocket message: {e}")
# Don't break on error, continue listening
except Exception as e:
logger.error(f"WebSocket error: {e}")
finally:
manager.disconnect(websocket)

246
backend/app/crud.py Normal file
View File

@@ -0,0 +1,246 @@
"""CRUD operations for database access."""
from sqlalchemy.orm import Session
from sqlalchemy import desc, func, or_
from typing import List, Optional, Tuple
import time
import json
from app.database import Event, Session as SessionModel, Statistics, ToolUsage
from app.schemas import EventCreate
def create_event(db: Session, event: EventCreate) -> Event:
"""
Create a new event and update statistics.
Args:
db: Database session
event: Event data to create
Returns:
Created event object
"""
# Convert tool_input to JSON string if it's a dict
tool_input_str = None
if event.tool_input is not None:
if isinstance(event.tool_input, str):
tool_input_str = event.tool_input
else:
tool_input_str = json.dumps(event.tool_input)
# Generate description if not provided
description = event.description
if not description:
description = _generate_description(event)
# Create event
db_event = Event(
session_id=event.session_id,
event_type=event.event_type,
tool_name=event.tool_name,
tool_input=tool_input_str,
tool_output=event.tool_output,
success=event.success,
description=description,
timestamp=event.timestamp,
)
db.add(db_event)
# Update or create session
session = db.query(SessionModel).filter(SessionModel.session_id == event.session_id).first()
if not session:
session = SessionModel(
session_id=event.session_id,
started_at=event.timestamp,
event_count=1,
)
db.add(session)
else:
session.event_count += 1
if event.event_type == "SessionEnd":
session.ended_at = event.timestamp
# Update tool usage for tool events
if event.tool_name:
tool_usage = db.query(ToolUsage).filter(ToolUsage.tool_name == event.tool_name).first()
if not tool_usage:
tool_usage = ToolUsage(
tool_name=event.tool_name,
usage_count=1,
first_used=event.timestamp,
last_used=event.timestamp,
)
db.add(tool_usage)
else:
tool_usage.usage_count += 1
tool_usage.last_used = event.timestamp
# Update statistics
_update_statistics(db)
db.commit()
db.refresh(db_event)
return db_event
def get_events(
db: Session,
skip: int = 0,
limit: int = 50,
event_type: Optional[str] = None,
session_id: Optional[str] = None,
tool_name: Optional[str] = None,
) -> Tuple[List[Event], int]:
"""
Get paginated list of events with optional filtering.
Args:
db: Database session
skip: Number of records to skip (offset)
limit: Maximum number of records to return
event_type: Filter by event type
session_id: Filter by session ID
tool_name: Filter by tool name
Returns:
Tuple of (events list, total count)
"""
query = db.query(Event)
# Apply filters
if event_type:
# Support filtering by multiple event types (comma-separated)
if "," in event_type:
event_types = [et.strip() for et in event_type.split(",")]
query = query.filter(Event.event_type.in_(event_types))
else:
query = query.filter(Event.event_type == event_type)
if session_id:
query = query.filter(Event.session_id == session_id)
if tool_name:
query = query.filter(Event.tool_name == tool_name)
# Get total count
total = query.count()
# Order by timestamp descending (newest first) and apply pagination
events = query.order_by(desc(Event.timestamp)).offset(skip).limit(limit).all()
return events, total
def get_event_by_id(db: Session, event_id: int) -> Optional[Event]:
"""Get a single event by ID."""
return db.query(Event).filter(Event.id == event_id).first()
def delete_all_events(db: Session) -> None:
"""Delete all events and reset statistics (for Reset Stats functionality)."""
# Delete all events
db.query(Event).delete()
# Delete all sessions
db.query(SessionModel).delete()
# Delete all tool usage
db.query(ToolUsage).delete()
# Reset statistics
stats = db.query(Statistics).first()
if stats:
stats.total_events = 0
stats.total_tools_used = 0
stats.total_agents = 0
stats.total_sessions = 0
stats.last_updated = time.time()
db.commit()
def get_statistics(db: Session) -> Statistics:
"""Get current statistics."""
stats = db.query(Statistics).first()
if not stats:
# Initialize if not exists
stats = Statistics(
id=1,
total_events=0,
total_tools_used=0,
total_agents=0,
total_sessions=0,
last_updated=time.time(),
)
db.add(stats)
db.commit()
db.refresh(stats)
return stats
def get_tool_usage(db: Session) -> List[ToolUsage]:
"""Get tool usage statistics."""
return db.query(ToolUsage).order_by(desc(ToolUsage.usage_count)).all()
def get_sessions(db: Session, limit: int = 100) -> List[SessionModel]:
"""Get list of sessions."""
return db.query(SessionModel).order_by(desc(SessionModel.started_at)).limit(limit).all()
# Helper functions
def _update_statistics(db: Session) -> None:
"""Update cached statistics."""
stats = db.query(Statistics).first()
if not stats:
stats = Statistics(id=1)
db.add(stats)
# Count events
stats.total_events = db.query(Event).count()
# Count unique tools
stats.total_tools_used = db.query(ToolUsage).count()
# Count agents (SubagentStop events)
stats.total_agents = db.query(Event).filter(Event.event_type == "SubagentStop").count()
# Count sessions
stats.total_sessions = db.query(SessionModel).count()
# Update timestamp
stats.last_updated = time.time()
def _generate_description(event: EventCreate) -> str:
"""Generate a human-readable description for an event."""
if event.description:
return event.description
# Generate description based on event type
if event.event_type == "PreToolUse":
if event.tool_name:
return f"Preparing to use {event.tool_name}"
return "Preparing to use tool"
elif event.event_type == "PostToolUse":
if event.tool_name:
status = "successfully" if event.success else "with errors"
return f"Executed {event.tool_name} {status}"
return "Tool execution completed"
elif event.event_type == "SessionStart":
return "Session started"
elif event.event_type == "SessionEnd":
return "Session ended"
elif event.event_type == "SubagentStop":
return "Agent completed task"
elif event.event_type == "UserPromptSubmit":
return "User submitted prompt"
else:
return f"{event.event_type} event"

132
backend/app/database.py Normal file
View File

@@ -0,0 +1,132 @@
"""Database configuration and models for Claude Code Monitor."""
from sqlalchemy import (
create_engine,
Column,
Integer,
String,
Float,
Boolean,
DateTime,
Index,
CheckConstraint,
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.sql import func
import os
# Database URL
DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./data/claude_monitor.db")
# Create engine with WAL mode for better concurrency
engine = create_engine(
DATABASE_URL,
connect_args={"check_same_thread": False} if "sqlite" in DATABASE_URL else {},
echo=False,
)
# Session factory
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
# Base class for models
Base = declarative_base()
class Event(Base):
"""Event model for storing Claude Code events."""
__tablename__ = "events"
id = Column(Integer, primary_key=True, index=True, autoincrement=True)
session_id = Column(String, nullable=False, index=True)
event_type = Column(String, nullable=False, index=True) # PreToolUse, PostToolUse, etc.
tool_name = Column(String, nullable=True, index=True) # Bash, Read, Write, etc.
tool_input = Column(String, nullable=True) # JSON string
tool_output = Column(String, nullable=True) # Tool response
success = Column(Boolean, nullable=True) # Success/failure (NULL for PreToolUse)
description = Column(String, nullable=True) # Human-readable description
timestamp = Column(Float, nullable=False, index=True) # Unix timestamp
created_at = Column(DateTime, server_default=func.now())
__table_args__ = (
Index("idx_event_type_timestamp", "event_type", "timestamp"),
Index("idx_session_timestamp", "session_id", "timestamp"),
)
class Session(Base):
"""Session model for tracking Claude Code sessions."""
__tablename__ = "sessions"
session_id = Column(String, primary_key=True)
started_at = Column(Float, nullable=False, index=True)
ended_at = Column(Float, nullable=True)
event_count = Column(Integer, default=0)
created_at = Column(DateTime, server_default=func.now())
class Statistics(Base):
"""Statistics model for cached aggregations (single-row table)."""
__tablename__ = "statistics"
id = Column(Integer, primary_key=True)
total_events = Column(Integer, default=0)
total_tools_used = Column(Integer, default=0)
total_agents = Column(Integer, default=0)
total_sessions = Column(Integer, default=0)
last_updated = Column(Float, nullable=False)
__table_args__ = (CheckConstraint("id = 1", name="single_row"),)
class ToolUsage(Base):
"""Tool usage model for tracking unique tools."""
__tablename__ = "tool_usage"
tool_name = Column(String, primary_key=True)
usage_count = Column(Integer, default=1)
first_used = Column(Float, nullable=False)
last_used = Column(Float, nullable=False, index=True)
def init_db():
"""Initialize database: create tables and enable WAL mode."""
# Create all tables
Base.metadata.create_all(bind=engine)
# Enable WAL mode for SQLite
if "sqlite" in DATABASE_URL:
with engine.connect() as conn:
conn.execute("PRAGMA journal_mode=WAL")
conn.commit()
# Initialize statistics table with single row
db = SessionLocal()
try:
stats = db.query(Statistics).first()
if not stats:
stats = Statistics(
id=1,
total_events=0,
total_tools_used=0,
total_agents=0,
total_sessions=0,
last_updated=0.0,
)
db.add(stats)
db.commit()
finally:
db.close()
def get_db():
"""Dependency for getting database session."""
db = SessionLocal()
try:
yield db
finally:
db.close()

90
backend/app/main.py Normal file
View File

@@ -0,0 +1,90 @@
"""Main FastAPI application for Claude Code Monitor."""
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
import logging
import time
from app.database import init_db
from app.api import events, statistics, websocket_endpoint
from app.schemas import HealthResponse
# Configure logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
logger = logging.getLogger(__name__)
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan handler for startup and shutdown events."""
# Startup
logger.info("Starting Claude Code Monitor backend...")
init_db()
logger.info("Database initialized successfully")
logger.info("Backend ready to receive events")
yield
# Shutdown
logger.info("Shutting down Claude Code Monitor backend...")
# Create FastAPI app
app = FastAPI(
title="Claude Code Monitor API",
description="Real-time monitoring dashboard for Claude Code activity",
version="1.0.0",
lifespan=lifespan,
)
# Configure CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # In production, specify exact origins
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include routers
app.include_router(events.router)
app.include_router(statistics.router)
app.include_router(websocket_endpoint.router)
# Health check endpoint
@app.get("/health", response_model=HealthResponse, tags=["health"])
async def health_check():
"""
Health check endpoint.
Returns the service status and current timestamp.
"""
return HealthResponse(status="healthy", timestamp=time.time())
# Root endpoint
@app.get("/", tags=["info"])
async def root():
"""Root endpoint with API information."""
return {
"name": "Claude Code Monitor API",
"version": "1.0.0",
"status": "running",
"docs": "/docs",
"websocket": "/ws",
}
if __name__ == "__main__":
import uvicorn
uvicorn.run(
"app.main:app",
host="0.0.0.0",
port=8000,
reload=True,
log_level="info",
)

152
backend/app/schemas.py Normal file
View File

@@ -0,0 +1,152 @@
"""Pydantic schemas for API request/response validation."""
from pydantic import BaseModel, Field
from typing import Optional, Any, List
from datetime import datetime
# Event Schemas
class EventCreate(BaseModel):
"""Schema for creating a new event."""
session_id: str = Field(..., description="Claude Code session ID")
event_type: str = Field(
...,
description="Event type: PreToolUse, PostToolUse, SessionStart, SessionEnd, SubagentStop, UserPromptSubmit",
)
tool_name: Optional[str] = Field(None, description="Tool name (Bash, Read, Write, etc.)")
tool_input: Optional[Any] = Field(None, description="Tool input parameters (JSON)")
tool_output: Optional[str] = Field(None, description="Tool output/response")
success: Optional[bool] = Field(None, description="Success/failure status")
description: Optional[str] = Field(None, description="Human-readable description")
timestamp: float = Field(..., description="Unix timestamp with milliseconds")
class Config:
json_schema_extra = {
"example": {
"session_id": "abc-123-def",
"event_type": "PostToolUse",
"tool_name": "Bash",
"tool_input": {"command": "ls -la"},
"tool_output": "total 24\ndrwxr-xr-x...",
"success": True,
"timestamp": 1734251599.887,
}
}
class EventResponse(BaseModel):
"""Schema for event response."""
id: int
session_id: str
event_type: str
tool_name: Optional[str] = None
tool_input: Optional[Any] = None
tool_output: Optional[str] = None
success: Optional[bool] = None
description: Optional[str] = None
timestamp: float
created_at: datetime
class Config:
from_attributes = True
class EventListResponse(BaseModel):
"""Schema for paginated event list response."""
events: List[EventResponse]
total: int
page: int
page_size: int
has_more: bool
# Statistics Schemas
class StatisticsResponse(BaseModel):
"""Schema for statistics response."""
total_events: int = Field(..., description="Total number of events")
total_tools_used: int = Field(..., description="Number of unique tools used")
total_agents: int = Field(..., description="Number of agents spawned")
total_sessions: int = Field(..., description="Number of unique sessions")
last_updated: float = Field(..., description="Last update timestamp")
class Config:
from_attributes = True
json_schema_extra = {
"example": {
"total_events": 66,
"total_tools_used": 3,
"total_agents": 3,
"total_sessions": 1,
"last_updated": 1734251599.887,
}
}
class ToolUsageResponse(BaseModel):
"""Schema for tool usage statistics."""
tool_name: str
usage_count: int
first_used: float
last_used: float
class Config:
from_attributes = True
class SessionResponse(BaseModel):
"""Schema for session response."""
session_id: str
started_at: float
ended_at: Optional[float] = None
event_count: int
created_at: datetime
class Config:
from_attributes = True
# WebSocket Message Schemas
class WebSocketMessage(BaseModel):
"""Schema for WebSocket messages."""
type: str = Field(..., description="Message type: event_created, stats_updated, connection_status, stats_reset")
event: Optional[EventResponse] = Field(None, description="Event data (for event_created)")
statistics: Optional[StatisticsResponse] = Field(None, description="Statistics data")
message: Optional[str] = Field(None, description="Optional message")
class Config:
json_schema_extra = {
"example": {
"type": "event_created",
"event": {
"id": 123,
"session_id": "abc-123",
"event_type": "PostToolUse",
"tool_name": "Bash",
"timestamp": 1734251599.887,
},
"statistics": {
"total_events": 67,
"total_tools_used": 3,
"total_agents": 3,
"total_sessions": 1,
},
}
}
# Health Check Schema
class HealthResponse(BaseModel):
"""Schema for health check response."""
status: str = Field(..., description="Service status")
timestamp: float = Field(..., description="Current timestamp")
class Config:
json_schema_extra = {"example": {"status": "healthy", "timestamp": 1734251599.887}}

89
backend/app/websocket.py Normal file
View File

@@ -0,0 +1,89 @@
"""WebSocket connection manager for real-time updates."""
from fastapi import WebSocket
from typing import List, Dict, Any
import json
import asyncio
import logging
logger = logging.getLogger(__name__)
class ConnectionManager:
"""Manages WebSocket connections for broadcasting events."""
def __init__(self):
self.active_connections: List[WebSocket] = []
async def connect(self, websocket: WebSocket):
"""Accept a new WebSocket connection."""
await websocket.accept()
self.active_connections.append(websocket)
logger.info(f"New WebSocket connection. Total connections: {len(self.active_connections)}")
def disconnect(self, websocket: WebSocket):
"""Remove a WebSocket connection."""
if websocket in self.active_connections:
self.active_connections.remove(websocket)
logger.info(f"WebSocket disconnected. Total connections: {len(self.active_connections)}")
async def send_personal_message(self, message: Dict[str, Any], websocket: WebSocket):
"""Send a message to a specific connection."""
try:
await websocket.send_text(json.dumps(message))
except Exception as e:
logger.error(f"Error sending personal message: {e}")
async def broadcast(self, message: Dict[str, Any]):
"""Broadcast a message to all connected clients."""
if not self.active_connections:
return
# Convert message to JSON string
message_str = json.dumps(message)
# Send to all connections
disconnected = []
for connection in self.active_connections:
try:
await connection.send_text(message_str)
except Exception as e:
logger.error(f"Error broadcasting to connection: {e}")
disconnected.append(connection)
# Clean up disconnected connections
for connection in disconnected:
self.disconnect(connection)
async def broadcast_event(self, event_data: Dict[str, Any], statistics_data: Dict[str, Any]):
"""Broadcast a new event with updated statistics."""
message = {
"type": "event_created",
"event": event_data,
"statistics": statistics_data,
}
await self.broadcast(message)
async def broadcast_stats_reset(self):
"""Broadcast a stats reset notification."""
message = {
"type": "stats_reset",
"message": "Statistics have been reset",
}
await self.broadcast(message)
async def broadcast_stats_update(self, statistics_data: Dict[str, Any]):
"""Broadcast updated statistics."""
message = {
"type": "stats_updated",
"statistics": statistics_data,
}
await self.broadcast(message)
def get_connection_count(self) -> int:
"""Get the number of active connections."""
return len(self.active_connections)
# Global connection manager instance
manager = ConnectionManager()