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"""
AI Video Generation Swarm - Main Application
Lazy loading version - no model loading at startup
"""
import os
import sys
import json
import uuid
import time
import asyncio
import hashlib
from datetime import datetime, timedelta
from typing import Optional, Dict, Any, List
from contextlib import asynccontextmanager
import torch
from fastapi import FastAPI, HTTPException, Depends, WebSocket, WebSocketDisconnect, UploadFile, File, Form
from fastapi.responses import HTMLResponse, FileResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from jose import JWTError, jwt
from passlib.context import CryptContext
import boto3
from botocore.config import Config
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# CONFIGURATION
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
HF_TOKEN = os.getenv("HF_TOKEN", "")
PASS_KEY = os.getenv("PASS_KEY", "default_secret_change_me")
R2_ACCOUNT_ID = os.getenv("R2_ACCOUNT_ID", "")
R2_BUCKET_NAME = os.getenv("R2_BUCKET_NAME", "video-ai-swarm")
R2_ACCESS_KEY = os.getenv("R2_ACCESS_KEY_ID", "")
R2_SECRET_KEY = os.getenv("R2_SECRET_ACCESS_KEY", "")
R2_PUBLIC_DOMAIN = os.getenv("R2_PUBLIC_DOMAIN", "")
SECRET_KEY = hashlib.sha256(PASS_KEY.encode()).hexdigest()
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_HOURS = 24
GPU_MAP = {
"orchestrator": 7,
"video_primary": 0,
"video_backup": 1,
"face_restore": 2,
"frame_interpolate": 3,
"video_upscale": 4,
"image_generator": 5,
"audio_generator": 6,
"quality_evaluator": 6,
}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# AUTHENTICATION
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
security = HTTPBearer()
def create_access_token(data: dict, expires_delta: Optional[timedelta] = None):
to_encode = data.copy()
expire = datetime.utcnow() + (expires_delta or timedelta(hours=ACCESS_TOKEN_EXPIRE_HOURS))
to_encode.update({"exp": expire})
return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)):
token = credentials.credentials
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
return payload
except JWTError:
raise HTTPException(status_code=401, detail="Invalid or expired token")
def verify_pass_key(key: str) -> bool:
return key == PASS_KEY
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# R2 CLIENT
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
class R2Client:
def __init__(self):
try:
self.s3 = boto3.client(
"s3",
endpoint_url=f"https://{R2_ACCOUNT_ID}.r2.cloudflarestorage.com",
region_name="auto",
aws_access_key_id=R2_ACCESS_KEY,
aws_secret_access_key=R2_SECRET_KEY,
config=Config(signature_version="s3v4")
)
except Exception as e:
print(f"[R2] Warning: R2 not configured: {e}")
self.s3 = None
self.bucket = R2_BUCKET_NAME
self.public_domain = R2_PUBLIC_DOMAIN
def upload_file(self, local_path: str, key: str):
if not self.s3:
return None
self.s3.upload_file(local_path, self.bucket, key)
return f"{self.public_domain}/{key}"
def list_videos(self, prefix: str = "outputs/") -> List[dict]:
if not self.s3:
return []
try:
response = self.s3.list_objects_v2(Bucket=self.bucket, Prefix=prefix)
items = []
for obj in response.get("Contents", []):
key = obj["Key"]
if key.endswith(".mp4"):
items.append({
"key": key,
"url": f"{self.public_domain}/{key}",
"size": obj["Size"],
"last_modified": obj["LastModified"].isoformat()
})
return sorted(items, key=lambda x: x["last_modified"], reverse=True)
except Exception as e:
print(f"[R2] List error: {e}")
return []
r2_client = R2Client()
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# JOB MANAGER & STATE
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
class JobManager:
def __init__(self):
self.jobs: Dict[str, dict] = {}
self.active_websockets: List[WebSocket] = []
self.log_websockets: List[WebSocket] = []
self.logs: List[dict] = []
def create_job(self, params: dict) -> str:
job_id = str(uuid.uuid4())[:8]
self.jobs[job_id] = {
"id": job_id,
"status": "queued",
"progress": 0,
"stage": "pending",
"params": params,
"created_at": datetime.utcnow().isoformat(),
"completed_at": None,
"output_url": None,
"logs": [],
"retries": 0,
}
return job_id
def update_job(self, job_id: str, **kwargs):
if job_id in self.jobs:
self.jobs[job_id].update(kwargs)
def add_log(self, level: str, agent: str, message: str):
entry = {
"timestamp": datetime.utcnow().isoformat(),
"level": level,
"agent": agent,
"message": message
}
self.logs.append(entry)
if len(self.logs) > 10000:
self.logs = self.logs[-10000:]
return entry
job_manager = JobManager()
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# WEBSOCKET MANAGER
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
class ConnectionManager:
def __init__(self):
self.active_connections: List[WebSocket] = []
async def connect(self, websocket: WebSocket):
await websocket.accept()
self.active_connections.append(websocket)
def disconnect(self, websocket: WebSocket):
if websocket in self.active_connections:
self.active_connections.remove(websocket)
async def broadcast(self, message: dict):
disconnected = []
for conn in self.active_connections:
try:
await conn.send_json(message)
except:
disconnected.append(conn)
for conn in disconnected:
self.disconnect(conn)
ws_manager = ConnectionManager()
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# LAZY AGENT LOADING (no loading at startup!)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
_agents_loaded = False
_orchestrator = None
_agent_lock = asyncio.Lock()
async def load_agents():
"""Lazy load all agents - called on first generation request"""
global _agents_loaded, _orchestrator
async with _agent_lock:
if _agents_loaded:
return
print("[INFO] Starting lazy agent loading...")
print(f"[INFO] CUDA available: {torch.cuda.is_available()}")
print(f"[INFO] GPU count: {torch.cuda.device_count()}")
sys.path.insert(0, "/workspace")
try:
from agents.orchestrator import OrchestratorAgent
_orchestrator = OrchestratorAgent(job_manager, ws_manager, r2_client, GPU_MAP)
_agents_loaded = True
print("[INFO] All agents loaded successfully")
except Exception as e:
print(f"[ERROR] Failed to load agents: {e}")
import traceback
traceback.print_exc()
_agents_loaded = False
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# PIPELINE EXECUTOR
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
async def run_pipeline(job_id: str):
"""Execute the full video generation pipeline"""
job = job_manager.jobs[job_id]
try:
await load_agents()
if _orchestrator is None:
raise RuntimeError("Orchestrator not available")
await _orchestrator.execute(job_id, job["params"])
except Exception as e:
job_manager.update_job(job_id, status="failed", error=str(e))
job_manager.add_log("ERROR", "ORCHESTRATOR", f"Job {job_id} failed: {e}")
await ws_manager.broadcast({
"type": "job_failed",
"job_id": job_id,
"error": str(e)
})
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# FASTAPI APP
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@asynccontextmanager
async def lifespan(app: FastAPI):
print("="*60)
print("[INFO] AI Video Swarm starting up...")
print("[INFO] Models will be loaded LAZILY on first request")
print("[INFO] This prevents startup timeout")
print("="*60)
yield
print("[INFO] AI Video Swarm shutting down...")
app = FastAPI(title="AI Video Swarm", version="1.0.0", lifespan=lifespan)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# HTML ROUTES
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/", response_class=HTMLResponse)
async def root():
with open("/workspace/pass.html", "r", encoding="utf-8") as f:
return HTMLResponse(content=f.read())
@app.get("/app", response_class=HTMLResponse)
async def main_app():
with open("/workspace/index.html", "r", encoding="utf-8") as f:
return HTMLResponse(content=f.read())
@app.get("/logs", response_class=HTMLResponse)
async def logs_page():
with open("/workspace/logs.html", "r", encoding="utf-8") as f:
return HTMLResponse(content=f.read())
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# AUTH ENDPOINTS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.post("/api/auth/login")
async def login(data: dict):
key = data.get("password", "")
if not verify_pass_key(key):
raise HTTPException(status_code=401, detail="Invalid password")
token = create_access_token({"sub": "user", "auth": True})
return {"access_token": token, "token_type": "bearer"}
@app.post("/api/auth/verify")
async def verify_auth(payload: dict = Depends(verify_token)):
return {"valid": True, "user": payload.get("sub")}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SETTINGS ENDPOINTS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
_user_settings = {}
@app.get("/api/settings")
async def get_settings(payload: dict = Depends(verify_token)):
return _user_settings
@app.post("/api/settings")
async def save_settings(data: dict, payload: dict = Depends(verify_token)):
global _user_settings
_user_settings.update(data)
return {"status": "saved", "settings": _user_settings}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# GENERATION ENDPOINTS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.post("/api/generate")
async def generate_video(data: dict, payload: dict = Depends(verify_token)):
job_id = job_manager.create_job(data)
job_manager.add_log("TASK", "ORCHESTRATOR", f"Starting video generation job #{job_id}")
# Start pipeline in background
asyncio.create_task(run_pipeline(job_id))
return {"job_id": job_id, "status": "queued"}
@app.get("/api/status/{job_id}")
async def get_status(job_id: str, payload: dict = Depends(verify_token)):
if job_id not in job_manager.jobs:
raise HTTPException(status_code=404, detail="Job not found")
return job_manager.jobs[job_id]
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# GALLERY ENDPOINTS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/api/videos")
async def list_videos(payload: dict = Depends(verify_token)):
try:
return r2_client.list_videos()
except Exception as e:
return []
@app.get("/api/videos/{video_id}/download")
async def get_download_url(video_id: str, payload: dict = Depends(verify_token)):
return {"url": f"{R2_PUBLIC_DOMAIN}/outputs/{video_id}"}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# LOGS ENDPOINTS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/api/logs")
async def get_logs(limit: int = 100, offset: int = 0, payload: dict = Depends(verify_token)):
logs = job_manager.logs[offset:offset+limit]
return {"logs": logs, "total": len(job_manager.logs)}
@app.post("/api/logs/clear")
async def clear_logs(payload: dict = Depends(verify_token)):
job_manager.logs = []
return {"status": "cleared"}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# WEBSOCKET ENDPOINTS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.websocket("/ws/progress")
async def ws_progress(websocket: WebSocket):
await ws_manager.connect(websocket)
try:
while True:
data = await websocket.receive_text()
pass
except WebSocketDisconnect:
ws_manager.disconnect(websocket)
@app.websocket("/ws/logs")
async def ws_logs(websocket: WebSocket):
await websocket.accept()
job_manager.log_websockets.append(websocket)
try:
while True:
data = await websocket.receive_text()
if data == "ping":
await websocket.send_text("pong")
except WebSocketDisconnect:
if websocket in job_manager.log_websockets:
job_manager.log_websockets.remove(websocket)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# HEALTH & INFO
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/health")
async def health():
return {
"status": "healthy",
"cuda": torch.cuda.is_available(),
"gpus": torch.cuda.device_count(),
"agents_loaded": _agents_loaded
}
@app.get("/api/info")
async def info():
return {
"name": "AI Video Swarm",
"version": "1.0.0",
"hardware": "8xL40S",
"models": {
"wan_2.6": "Wan-AI/Wan2.6-I2V-14B-720P",
"ltx": "Lightricks/LTX-2.3",
"flux": "black-forest-labs/FLUX.1-dev",
},
"agents_loaded": _agents_loaded
}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# MAIN
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860, log_level="info") |