mirror of https://github.com/kortix-ai/suna.git
212 lines
6.6 KiB
Python
212 lines
6.6 KiB
Python
from fastapi import FastAPI, Request, HTTPException, Response, Depends
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.responses import JSONResponse, StreamingResponse
|
|
import sentry # Keep this import here, right after fastapi imports
|
|
from contextlib import asynccontextmanager
|
|
from agentpress.thread_manager import ThreadManager
|
|
from services.supabase import DBConnection
|
|
from datetime import datetime, timezone
|
|
from dotenv import load_dotenv
|
|
from utils.config import config, EnvMode
|
|
import asyncio
|
|
from utils.logger import logger, structlog
|
|
import time
|
|
from collections import OrderedDict
|
|
from typing import Dict, Any
|
|
|
|
from pydantic import BaseModel
|
|
import uuid
|
|
# Import the agent API module
|
|
from agent import api as agent_api
|
|
from sandbox import api as sandbox_api
|
|
from services import billing as billing_api
|
|
from flags import api as feature_flags_api
|
|
from services import transcription as transcription_api
|
|
from services.mcp_custom import discover_custom_tools
|
|
import sys
|
|
from services import email_api
|
|
|
|
|
|
load_dotenv()
|
|
|
|
if sys.platform == "win32":
|
|
asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
|
|
|
|
# Initialize managers
|
|
db = DBConnection()
|
|
instance_id = "single"
|
|
|
|
# Rate limiter state
|
|
ip_tracker = OrderedDict()
|
|
MAX_CONCURRENT_IPS = 25
|
|
|
|
@asynccontextmanager
|
|
async def lifespan(app: FastAPI):
|
|
logger.info(f"Starting up FastAPI application with instance ID: {instance_id} in {config.ENV_MODE.value} mode")
|
|
try:
|
|
await db.initialize()
|
|
|
|
agent_api.initialize(
|
|
db,
|
|
instance_id
|
|
)
|
|
|
|
sandbox_api.initialize(db)
|
|
|
|
# Initialize Redis connection
|
|
from services import redis
|
|
try:
|
|
await redis.initialize_async()
|
|
logger.info("Redis connection initialized successfully")
|
|
except Exception as e:
|
|
logger.error(f"Failed to initialize Redis connection: {e}")
|
|
# Continue without Redis - the application will handle Redis failures gracefully
|
|
|
|
# Start background tasks
|
|
# asyncio.create_task(agent_api.restore_running_agent_runs())
|
|
|
|
yield
|
|
|
|
# Clean up agent resources
|
|
logger.info("Cleaning up agent resources")
|
|
await agent_api.cleanup()
|
|
|
|
# Clean up Redis connection
|
|
try:
|
|
logger.info("Closing Redis connection")
|
|
await redis.close()
|
|
logger.info("Redis connection closed successfully")
|
|
except Exception as e:
|
|
logger.error(f"Error closing Redis connection: {e}")
|
|
|
|
# Clean up database connection
|
|
logger.info("Disconnecting from database")
|
|
await db.disconnect()
|
|
except Exception as e:
|
|
logger.error(f"Error during application startup: {e}")
|
|
raise
|
|
|
|
app = FastAPI(lifespan=lifespan)
|
|
|
|
@app.middleware("http")
|
|
async def log_requests_middleware(request: Request, call_next):
|
|
structlog.contextvars.clear_contextvars()
|
|
|
|
request_id = str(uuid.uuid4())
|
|
start_time = time.time()
|
|
client_ip = request.client.host
|
|
method = request.method
|
|
path = request.url.path
|
|
query_params = str(request.query_params)
|
|
|
|
structlog.contextvars.bind_contextvars(
|
|
request_id=request_id,
|
|
client_ip=client_ip,
|
|
method=method,
|
|
path=path,
|
|
query_params=query_params
|
|
)
|
|
|
|
# Log the incoming request
|
|
logger.info(f"Request started: {method} {path} from {client_ip} | Query: {query_params}")
|
|
|
|
try:
|
|
response = await call_next(request)
|
|
process_time = time.time() - start_time
|
|
logger.debug(f"Request completed: {method} {path} | Status: {response.status_code} | Time: {process_time:.2f}s")
|
|
return response
|
|
except Exception as e:
|
|
process_time = time.time() - start_time
|
|
logger.error(f"Request failed: {method} {path} | Error: {str(e)} | Time: {process_time:.2f}s")
|
|
raise
|
|
|
|
# Define allowed origins based on environment
|
|
allowed_origins = ["https://www.suna.so", "https://suna.so", "http://localhost:3000"]
|
|
allow_origin_regex = None
|
|
|
|
# Add staging-specific origins
|
|
if config.ENV_MODE == EnvMode.STAGING:
|
|
allowed_origins.append("https://staging.suna.so")
|
|
allow_origin_regex = r"https://suna-.*-prjcts\.vercel\.app"
|
|
|
|
app.add_middleware(
|
|
CORSMiddleware,
|
|
allow_origins=allowed_origins,
|
|
allow_origin_regex=allow_origin_regex,
|
|
allow_credentials=True,
|
|
allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
|
|
allow_headers=["Content-Type", "Authorization", "X-Project-Id"],
|
|
)
|
|
|
|
app.include_router(agent_api.router, prefix="/api")
|
|
|
|
app.include_router(sandbox_api.router, prefix="/api")
|
|
|
|
app.include_router(billing_api.router, prefix="/api")
|
|
|
|
app.include_router(feature_flags_api.router, prefix="/api")
|
|
|
|
from mcp_local import api as mcp_api
|
|
from mcp_local import secure_api as secure_mcp_api
|
|
|
|
app.include_router(mcp_api.router, prefix="/api")
|
|
app.include_router(secure_mcp_api.router, prefix="/api/secure-mcp")
|
|
|
|
app.include_router(transcription_api.router, prefix="/api")
|
|
app.include_router(email_api.router, prefix="/api")
|
|
|
|
from workflows import api as workflows_api
|
|
workflows_api.initialize(db)
|
|
app.include_router(workflows_api.router, prefix="/api")
|
|
|
|
from webhooks import api as webhooks_api
|
|
webhooks_api.initialize(db)
|
|
app.include_router(webhooks_api.router, prefix="/api")
|
|
|
|
from scheduling import api as scheduling_api
|
|
app.include_router(scheduling_api.router)
|
|
|
|
from knowledge_base import api as knowledge_base_api
|
|
app.include_router(knowledge_base_api.router, prefix="/api")
|
|
|
|
@app.get("/api/health")
|
|
async def health_check():
|
|
"""Health check endpoint to verify API is working."""
|
|
logger.info("Health check endpoint called")
|
|
return {
|
|
"status": "ok",
|
|
"timestamp": datetime.now(timezone.utc).isoformat(),
|
|
"instance_id": instance_id
|
|
}
|
|
|
|
class CustomMCPDiscoverRequest(BaseModel):
|
|
type: str
|
|
config: Dict[str, Any]
|
|
|
|
|
|
@app.post("/api/mcp/discover-custom-tools")
|
|
async def discover_custom_mcp_tools(request: CustomMCPDiscoverRequest):
|
|
try:
|
|
return await discover_custom_tools(request.type, request.config)
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.error(f"Error discovering custom MCP tools: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
if __name__ == "__main__":
|
|
import uvicorn
|
|
|
|
if sys.platform == "win32":
|
|
asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
|
|
|
|
workers = 4
|
|
|
|
logger.info(f"Starting server on 0.0.0.0:8000 with {workers} workers")
|
|
uvicorn.run(
|
|
"api:app",
|
|
host="0.0.0.0",
|
|
port=8000,
|
|
workers=workers,
|
|
loop="asyncio"
|
|
) |