File size: 7,656 Bytes
5da4770 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 | from dotenv import load_dotenv
load_dotenv()
from fastapi import FastAPI, Request, HTTPException, Response, Depends, APIRouter
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse, StreamingResponse
from services import redis
import sentry
from contextlib import asynccontextmanager
from agentpress.thread_manager import ThreadManager
from services.supabase import DBConnection
from datetime import datetime, timezone
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
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
import sys
from services import email_api
from triggers import api as triggers_api
from triggers.endpoints.workflows import router as workflows_router
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
)
# Workflows are now initialized via triggers module
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())
# Initialize triggers API
triggers_api.initialize(db)
# Initialize workflows API (part of triggers module)
from triggers.endpoints.workflows import set_db_connection
set_db_connection(db)
# Initialize pipedream API
pipedream_api.initialize(db)
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 if request.client else "unknown"
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"]
allow_origin_regex = None
# Add staging-specific origins
if config.ENV_MODE == EnvMode.LOCAL:
allowed_origins.append("http://localhost:3000")
# Add staging-specific origins
if config.ENV_MODE == EnvMode.STAGING:
allowed_origins.append("https://staging.suna.so")
allowed_origins.append("http://localhost:3000")
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", "X-MCP-URL", "X-MCP-Type", "X-MCP-Headers"],
)
# Create a main API router
api_router = APIRouter()
# Include all API routers without individual prefixes
api_router.include_router(agent_api.router)
api_router.include_router(sandbox_api.router)
api_router.include_router(billing_api.router)
api_router.include_router(feature_flags_api.router)
from mcp_module import api as mcp_api
from credentials import api as credentials_api
from templates import api as template_api
api_router.include_router(mcp_api.router)
api_router.include_router(credentials_api.router, prefix="/secure-mcp")
api_router.include_router(template_api.router, prefix="/templates")
api_router.include_router(transcription_api.router)
api_router.include_router(email_api.router)
from knowledge_base import api as knowledge_base_api
api_router.include_router(knowledge_base_api.router)
api_router.include_router(triggers_api.router)
api_router.include_router(workflows_router, prefix="/workflows")
from pipedream import api as pipedream_api
api_router.include_router(pipedream_api.router)
@api_router.get("/health")
async def health_check():
logger.info("Health check endpoint called")
return {
"status": "ok",
"timestamp": datetime.now(timezone.utc).isoformat(),
"instance_id": instance_id
}
@api_router.get("/health-docker")
async def health_check():
logger.info("Health docker check endpoint called")
try:
client = await redis.get_client()
await client.ping()
db = DBConnection()
await db.initialize()
db_client = await db.client
await db_client.table("threads").select("thread_id").limit(1).execute()
logger.info("Health docker check complete")
return {
"status": "ok",
"timestamp": datetime.now(timezone.utc).isoformat(),
"instance_id": instance_id
}
except Exception as e:
logger.error(f"Failed health docker check: {e}")
raise HTTPException(status_code=500, detail="Health check failed")
app.include_router(api_router, prefix="/api")
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"
) |