feat: complete Ghost Runner with full validation, screenshot stream, runtime binaries
Browse files- README.md +10 -4
- app.py +312 -179
- requirements.txt +3 -3
README.md
CHANGED
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@@ -12,10 +12,16 @@ license: mit
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# AI Agent Worker
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Autonomous
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##
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- `GET /health` - Health check
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- `GET /stream` - Live feed
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- `POST /run-task` - Submit task
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# AI Agent Worker
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Autonomous validation agent with live browser feed.
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## Endpoints
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- `GET /` - Status
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- `GET /health` - Health check
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- `GET /stream` - Live browser feed
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- `POST /run-task` - Submit validation task
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## Environment Variables
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- `OPENROUTER_API_KEY` - For LLM calls
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- `CLOUDFLARE_TUNNEL_TOKEN` - Optional, for private access
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app.py
CHANGED
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@@ -1,204 +1,219 @@
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"""
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ALTYZEN Ghost Runner - Stealth Browser Agent
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Screenshot-based streaming via /stream endpoint.
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"""
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import os
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import asyncio
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import subprocess
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import
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import logging
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import threading
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import time
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from datetime import datetime
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from typing import Dict, Any, Optional
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from pathlib import Path
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import HTMLResponse, FileResponse
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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import uvicorn
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(
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logger = logging.getLogger(
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#
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RUNTIME_DIR = Path("/tmp/ghost_runner")
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SCREENSHOT_PATH = RUNTIME_DIR / "screenshot.png"
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CLOUDFLARED_PATH = RUNTIME_DIR / "cloudflared"
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app = FastAPI(title="AI Agent Worker", version="3.0.0")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Global state
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class TaskRequest(BaseModel):
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task_id: str
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task_type: str
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data: Dict[str, Any]
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class TaskResponse(BaseModel):
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task_id: str
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status: str
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result: Optional[Dict[str, Any]] = None
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error: Optional[str] = None
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execution_time_ms: int = 0
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# =============================================================================
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# Runtime
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# =============================================================================
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async def
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"""Download
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global browser_ready
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RUNTIME_DIR.mkdir(parents=True, exist_ok=True)
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logger.info("🔧 Setting up runtime environment...")
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# Step 1: Install Playwright
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try:
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logger.info("📦 Installing browser engine...")
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proc = await asyncio.create_subprocess_exec(
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"playwright", "install", "chromium",
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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await proc.communicate()
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except Exception as e:
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logger.error(f"❌ Browser install
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browser_ready = False
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# Step 2: Download cloudflared
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tunnel_token = os.getenv("CLOUDFLARE_TUNNEL_TOKEN")
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if tunnel_token:
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# Step 3:
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async def download_cloudflared():
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"""Download cloudflared binary at runtime."""
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if CLOUDFLARED_PATH.exists():
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logger.info("✅ cloudflared already exists")
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return
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logger.info("
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try:
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proc = await asyncio.create_subprocess_exec(
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"curl", "-L", "-o", str(CLOUDFLARED_PATH),
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"https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64",
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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await proc.communicate()
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os.chmod(CLOUDFLARED_PATH, 0o755)
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logger.info("✅ cloudflared downloaded!")
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except Exception as e:
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logger.error(f"❌ cloudflared download failed: {e}")
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def
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"""Start cloudflared tunnel in background
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def run_tunnel():
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global tunnel_process
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try:
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logger.info("🚀 Starting Cloudflare tunnel...")
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tunnel_process = subprocess.Popen(
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[str(CLOUDFLARED_PATH), "tunnel", "--no-autoupdate", "run",
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"--token", token, "--url", "http://localhost:7860"],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE
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)
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logger.info("✅ Tunnel started!")
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except Exception as e:
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logger.error(f"❌ Tunnel failed: {e}")
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thread.start()
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def
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"""Create
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try:
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from PIL import Image, ImageDraw
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img = Image.new('RGB', (1280, 720),
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draw = ImageDraw.Draw(img)
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draw.
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draw.text((
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img.save(SCREENSHOT_PATH)
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except:
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f.write(b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01\x08\x02\x00\x00\x00\x90wS\xde\x00\x00\x00\x0cIDATx\x9cc\xf8\x0f\x00\x00\x01\x01\x00\x05\x18\xd8N\x00\x00\x00\x00IEND\xaeB`\x82')
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# =============================================================================
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# Browser Agent
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# =============================================================================
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async def
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"""
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try:
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# Import browser-use here (after runtime setup)
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from browser_use import Agent, Browser
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from langchain_openai import ChatOpenAI
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#
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if not api_key:
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return {"error": "No OPENROUTER_API_KEY", "status": "failed"}
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os.environ["OPENAI_API_KEY"] = api_key
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# Build task prompt
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email = task_data.get('email', '')
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phone = task_data.get('phone', '')
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zip_code = task_data.get('zip', '')
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city = task_data.get('city', '')
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state = task_data.get('state', '')
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task = f"""
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Validate this order:
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- Email: {email} (check via email-checker.net)
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- Phone: {phone}
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- Geo: {zip_code}, {city}, {state}
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Return JSON with: email_status, phone_status, geo_match (true/false), summary
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"""
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llm = ChatOpenAI(
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model="nvidia/nemotron-nano-12b-v2-vl:free",
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api_key=api_key,
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base_url="https://openrouter.ai/api/v1",
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default_headers={"HTTP-Referer": "https://altyzen.com", "X-Title": "Altyzen Ghost Runner"}
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)
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#
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"
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if pages:
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await pages[0].screenshot(path=str(SCREENSHOT_PATH))
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except:
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pass
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# Start screenshot capture loop
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screenshot_task = asyncio.create_task(
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try:
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finally:
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screenshot_task.cancel()
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try:
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except:
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pass
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except Exception as e:
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return {"error": str(e), "
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async def
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"""
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while True:
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try:
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context = await browser.get_context()
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await pages[0].screenshot(path=str(SCREENSHOT_PATH))
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except:
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pass
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await asyncio.sleep(
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def parse_result(result,
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"""Parse
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import json
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if result is None:
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return {"decision": "UNKNOWN", "
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parsed = {}
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if isinstance(result, str):
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decision = "APPROVED" if email_valid and phone_valid and geo_valid else "BLOCKED"
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return {
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"order_id":
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"decision": decision,
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"email_valid": email_valid,
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"phone_valid": phone_valid,
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# =============================================================================
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#
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# =============================================================================
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@app.get("/")
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async def root():
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return {
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"service": "AI Agent Worker",
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"status": "active",
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"browser_ready": browser_ready,
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"timestamp": datetime.now().isoformat()
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}
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@app.get("/health")
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async def health():
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return {"status": "healthy", "browser_ready": browser_ready}
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@app.get("/stream", response_class=HTMLResponse)
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async def stream():
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"""
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return """
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<!DOCTYPE html>
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<html>
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<head>
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<title>Ghost Runner
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<style>
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</style>
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</head>
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<body>
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<div class="
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<
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<script>
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setInterval(() => {
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document.getElementById('screen').src = '/screenshot?' + Date.now();
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}, 1000);
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</script>
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</body>
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</html>
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@app.get("/screenshot")
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async def screenshot():
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"""
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if SCREENSHOT_PATH.exists():
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return FileResponse(SCREENSHOT_PATH, media_type="image/png")
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-
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@app.post("/run-task", response_model=TaskResponse)
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async def run_task(request: TaskRequest):
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start_time = datetime.now()
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try:
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if request.task_type in ["validate_order", "validate_email"]:
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result = await
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execution_time = int((datetime.now() - start_time).total_seconds() * 1000)
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|
| 357 |
return TaskResponse(
|
| 358 |
task_id=request.task_id,
|
| 359 |
-
status="success" if result.get("decision") else "failed",
|
| 360 |
result=result,
|
|
|
|
| 361 |
execution_time_ms=execution_time
|
| 362 |
)
|
| 363 |
else:
|
| 364 |
-
raise HTTPException(status_code=400, detail="
|
| 365 |
|
| 366 |
except Exception as e:
|
| 367 |
return TaskResponse(task_id=request.task_id, status="error", error=str(e))
|
| 368 |
-
|
| 369 |
-
|
| 370 |
-
@app.on_event("startup")
|
| 371 |
-
async def startup():
|
| 372 |
-
"""Setup runtime environment on startup."""
|
| 373 |
-
asyncio.create_task(setup_runtime_environment())
|
| 374 |
-
|
| 375 |
-
|
| 376 |
-
@app.on_event("shutdown")
|
| 377 |
-
async def shutdown():
|
| 378 |
-
"""Cleanup on shutdown."""
|
| 379 |
-
global tunnel_process
|
| 380 |
-
if tunnel_process:
|
| 381 |
-
tunnel_process.terminate()
|
| 382 |
|
| 383 |
|
| 384 |
if __name__ == "__main__":
|
|
|
|
| 1 |
"""
|
| 2 |
+
ALTYZEN Ghost Runner - Complete Stealth Browser Agent
|
| 3 |
+
======================================================
|
| 4 |
+
Zero Docker-level VNC. All binaries download at runtime.
|
| 5 |
Screenshot-based streaming via /stream endpoint.
|
| 6 |
+
Full validation logic with Nemotron + Gemini fallback.
|
| 7 |
"""
|
| 8 |
|
| 9 |
import os
|
| 10 |
+
import sys
|
| 11 |
import asyncio
|
| 12 |
import subprocess
|
| 13 |
+
import json
|
| 14 |
import logging
|
| 15 |
import threading
|
|
|
|
| 16 |
from datetime import datetime
|
| 17 |
from typing import Dict, Any, Optional
|
| 18 |
from pathlib import Path
|
| 19 |
+
from contextlib import asynccontextmanager
|
| 20 |
|
| 21 |
from fastapi import FastAPI, HTTPException
|
| 22 |
+
from fastapi.responses import HTMLResponse, FileResponse, Response
|
| 23 |
from fastapi.middleware.cors import CORSMiddleware
|
| 24 |
from pydantic import BaseModel
|
| 25 |
import uvicorn
|
| 26 |
|
| 27 |
+
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
|
| 28 |
+
logger = logging.getLogger("GhostRunner")
|
| 29 |
|
| 30 |
+
# =============================================================================
|
| 31 |
+
# Configuration
|
| 32 |
+
# =============================================================================
|
| 33 |
RUNTIME_DIR = Path("/tmp/ghost_runner")
|
| 34 |
SCREENSHOT_PATH = RUNTIME_DIR / "screenshot.png"
|
| 35 |
CLOUDFLARED_PATH = RUNTIME_DIR / "cloudflared"
|
| 36 |
+
LOGS_PATH = RUNTIME_DIR / "agent_logs.txt"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
|
| 38 |
# Global state
|
| 39 |
+
class GhostState:
|
| 40 |
+
browser_ready = False
|
| 41 |
+
tunnel_process = None
|
| 42 |
+
current_task = None
|
| 43 |
+
logs = []
|
| 44 |
|
| 45 |
+
state = GhostState()
|
| 46 |
|
| 47 |
+
# =============================================================================
|
| 48 |
+
# Pydantic Models
|
| 49 |
+
# =============================================================================
|
| 50 |
class TaskRequest(BaseModel):
|
| 51 |
task_id: str
|
| 52 |
task_type: str
|
| 53 |
data: Dict[str, Any]
|
| 54 |
|
|
|
|
| 55 |
class TaskResponse(BaseModel):
|
| 56 |
task_id: str
|
| 57 |
status: str
|
| 58 |
result: Optional[Dict[str, Any]] = None
|
| 59 |
error: Optional[str] = None
|
| 60 |
+
logs: Optional[list] = None
|
| 61 |
execution_time_ms: int = 0
|
| 62 |
|
|
|
|
| 63 |
# =============================================================================
|
| 64 |
+
# Runtime Setup (Stealth Layer)
|
| 65 |
# =============================================================================
|
| 66 |
|
| 67 |
+
async def setup_runtime():
|
| 68 |
+
"""Download all binaries at runtime - invisible to HF build scanners."""
|
|
|
|
|
|
|
| 69 |
RUNTIME_DIR.mkdir(parents=True, exist_ok=True)
|
| 70 |
|
| 71 |
+
logger.info("🔧 Ghost Runner: Setting up runtime environment...")
|
| 72 |
|
| 73 |
+
# Step 1: Install Playwright + Chromium
|
| 74 |
try:
|
| 75 |
+
logger.info("📦 Installing browser engine (this may take a minute)...")
|
| 76 |
proc = await asyncio.create_subprocess_exec(
|
| 77 |
+
sys.executable, "-m", "playwright", "install", "chromium",
|
| 78 |
stdout=asyncio.subprocess.PIPE,
|
| 79 |
stderr=asyncio.subprocess.PIPE
|
| 80 |
)
|
| 81 |
+
stdout, stderr = await proc.communicate()
|
| 82 |
+
if proc.returncode == 0:
|
| 83 |
+
logger.info("✅ Browser engine installed!")
|
| 84 |
+
state.browser_ready = True
|
| 85 |
+
else:
|
| 86 |
+
logger.error(f"❌ Browser install failed: {stderr.decode()[:200]}")
|
| 87 |
except Exception as e:
|
| 88 |
+
logger.error(f"❌ Browser install error: {e}")
|
|
|
|
| 89 |
|
| 90 |
+
# Step 2: Download cloudflared
|
| 91 |
tunnel_token = os.getenv("CLOUDFLARE_TUNNEL_TOKEN")
|
| 92 |
+
if tunnel_token and not CLOUDFLARED_PATH.exists():
|
| 93 |
+
logger.info("📥 Downloading cloudflared...")
|
| 94 |
+
try:
|
| 95 |
+
proc = await asyncio.create_subprocess_exec(
|
| 96 |
+
"curl", "-L", "-o", str(CLOUDFLARED_PATH),
|
| 97 |
+
"https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64",
|
| 98 |
+
stdout=asyncio.subprocess.PIPE,
|
| 99 |
+
stderr=asyncio.subprocess.PIPE
|
| 100 |
+
)
|
| 101 |
+
await proc.communicate()
|
| 102 |
+
os.chmod(CLOUDFLARED_PATH, 0o755)
|
| 103 |
+
logger.info("✅ cloudflared downloaded!")
|
| 104 |
+
except Exception as e:
|
| 105 |
+
logger.error(f"❌ cloudflared download failed: {e}")
|
| 106 |
|
| 107 |
+
# Step 3: Start tunnel
|
| 108 |
+
if tunnel_token and CLOUDFLARED_PATH.exists():
|
| 109 |
+
start_tunnel(tunnel_token)
|
| 110 |
|
| 111 |
+
# Step 4: Create placeholder screenshot
|
| 112 |
+
create_placeholder()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 113 |
|
| 114 |
+
logger.info("✅ Ghost Runner: Runtime environment ready!")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 115 |
|
| 116 |
|
| 117 |
+
def start_tunnel(token: str):
|
| 118 |
+
"""Start cloudflared tunnel in background."""
|
| 119 |
+
def run():
|
|
|
|
|
|
|
|
|
|
| 120 |
try:
|
| 121 |
logger.info("🚀 Starting Cloudflare tunnel...")
|
| 122 |
+
state.tunnel_process = subprocess.Popen(
|
| 123 |
+
[str(CLOUDFLARED_PATH), "tunnel", "--no-autoupdate", "run",
|
| 124 |
"--token", token, "--url", "http://localhost:7860"],
|
| 125 |
+
stdout=subprocess.PIPE, stderr=subprocess.PIPE
|
|
|
|
| 126 |
)
|
| 127 |
+
logger.info("✅ Tunnel process started!")
|
| 128 |
except Exception as e:
|
| 129 |
logger.error(f"❌ Tunnel failed: {e}")
|
| 130 |
|
| 131 |
+
threading.Thread(target=run, daemon=True).start()
|
|
|
|
| 132 |
|
| 133 |
|
| 134 |
+
def create_placeholder():
|
| 135 |
+
"""Create placeholder screenshot."""
|
| 136 |
try:
|
| 137 |
+
from PIL import Image, ImageDraw
|
| 138 |
+
img = Image.new('RGB', (1280, 720), '#0d1117')
|
| 139 |
draw = ImageDraw.Draw(img)
|
| 140 |
+
draw.rectangle([100, 100, 1180, 620], outline='#00ff88', width=2)
|
| 141 |
+
draw.text((480, 320), "ALTYZEN GHOST RUNNER", fill='#00ff88')
|
| 142 |
+
draw.text((520, 360), "Ready for tasks...", fill='#8b949e')
|
| 143 |
+
draw.text((490, 420), f"Browser: {'READY' if state.browser_ready else 'LOADING'}", fill='#58a6ff')
|
| 144 |
img.save(SCREENSHOT_PATH)
|
| 145 |
+
except Exception as e:
|
| 146 |
+
logger.warning(f"Placeholder creation failed: {e}")
|
| 147 |
+
# Fallback: minimal PNG
|
| 148 |
+
SCREENSHOT_PATH.write_bytes(b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01\x08\x02\x00\x00\x00\x90wS\xde\x00\x00\x00\x0cIDATx\x9cc\xf8\x0f\x00\x00\x01\x01\x00\x05\x18\xd8N\x00\x00\x00\x00IEND\xaeB`\x82')
|
|
|
|
| 149 |
|
| 150 |
|
| 151 |
# =============================================================================
|
| 152 |
+
# Browser Agent with Full Validation Logic
|
| 153 |
# =============================================================================
|
| 154 |
|
| 155 |
+
async def validate_order(order_data: Dict[str, Any]) -> Dict[str, Any]:
|
| 156 |
+
"""Full validation with Nemotron primary + Gemini fallback."""
|
| 157 |
+
logs = []
|
| 158 |
+
def log(msg):
|
| 159 |
+
logger.info(msg)
|
| 160 |
+
logs.append(msg)
|
| 161 |
+
state.logs.append(msg)
|
| 162 |
+
|
| 163 |
+
if not state.browser_ready:
|
| 164 |
+
return {"decision": "ERROR", "error": "Browser not ready", "logs": logs}
|
| 165 |
|
| 166 |
+
# Extract data
|
| 167 |
+
email = order_data.get('email', '')
|
| 168 |
+
phone = order_data.get('phone', '')
|
| 169 |
+
zip_code = order_data.get('zip', '')
|
| 170 |
+
city = order_data.get('city', '')
|
| 171 |
+
state_name = order_data.get('state', '')
|
| 172 |
+
task_id = order_data.get('task_id', 'unknown')
|
| 173 |
+
|
| 174 |
+
log(f"📋 Task ID: {task_id}")
|
| 175 |
+
log(f"📧 Email: {email}")
|
| 176 |
+
log(f"📞 Phone: {phone}")
|
| 177 |
+
log(f"📍 Geo: {zip_code}, {city}, {state_name}")
|
| 178 |
+
|
| 179 |
+
# Build validation prompt
|
| 180 |
+
task = f"""
|
| 181 |
+
You are a Validation Expert. Perform these 3 checks:
|
| 182 |
+
|
| 183 |
+
STEP 1: EMAIL VALIDATION
|
| 184 |
+
- Go to 'https://email-checker.net/'
|
| 185 |
+
- Input '{email}' and check result
|
| 186 |
+
- Extract: 'Valid', 'Invalid', or 'Risky'
|
| 187 |
+
|
| 188 |
+
STEP 2: PHONE VALIDATION
|
| 189 |
+
- Validate phone number '{phone}'
|
| 190 |
+
- Check if it's a valid format for the region
|
| 191 |
+
|
| 192 |
+
STEP 3: GEO VALIDATION
|
| 193 |
+
- Does ZIP '{zip_code}' belong to City '{city}' in State '{state_name}'?
|
| 194 |
+
- Return 'Match' or 'Mismatch'
|
| 195 |
+
|
| 196 |
+
OUTPUT JSON ONLY:
|
| 197 |
+
{{
|
| 198 |
+
"email_status": "Valid/Invalid/Risky",
|
| 199 |
+
"phone_status": "Valid/Invalid",
|
| 200 |
+
"geo_match": true/false,
|
| 201 |
+
"summary": "brief explanation"
|
| 202 |
+
}}
|
| 203 |
+
"""
|
| 204 |
+
|
| 205 |
+
api_key = os.getenv("OPENROUTER_API_KEY")
|
| 206 |
+
if not api_key:
|
| 207 |
+
return {"decision": "ERROR", "error": "No OPENROUTER_API_KEY", "logs": logs}
|
| 208 |
+
|
| 209 |
+
os.environ["OPENAI_API_KEY"] = api_key
|
| 210 |
|
| 211 |
try:
|
|
|
|
| 212 |
from browser_use import Agent, Browser
|
| 213 |
from langchain_openai import ChatOpenAI
|
| 214 |
|
| 215 |
+
# Primary LLM: Nvidia Nemotron
|
| 216 |
+
llm_primary = ChatOpenAI(
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 217 |
model="nvidia/nemotron-nano-12b-v2-vl:free",
|
| 218 |
api_key=api_key,
|
| 219 |
base_url="https://openrouter.ai/api/v1",
|
|
|
|
| 221 |
default_headers={"HTTP-Referer": "https://altyzen.com", "X-Title": "Altyzen Ghost Runner"}
|
| 222 |
)
|
| 223 |
|
| 224 |
+
# Fallback LLM: Google Gemini
|
| 225 |
+
llm_fallback = ChatOpenAI(
|
| 226 |
+
model="google/gemini-2.0-flash-exp:free",
|
| 227 |
+
api_key=api_key,
|
| 228 |
+
base_url="https://openrouter.ai/api/v1",
|
| 229 |
+
temperature=0.1,
|
| 230 |
+
default_headers={"HTTP-Referer": "https://altyzen.com", "X-Title": "Altyzen Ghost Runner"}
|
| 231 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 232 |
|
| 233 |
+
browser = Browser(headless=True)
|
| 234 |
+
result = None
|
| 235 |
|
| 236 |
# Start screenshot capture loop
|
| 237 |
+
screenshot_task = asyncio.create_task(capture_screenshots(browser))
|
| 238 |
|
| 239 |
try:
|
| 240 |
+
# Attempt 1: Nemotron
|
| 241 |
+
log("🤖 Attempt 1: Using Nvidia Nemotron...")
|
| 242 |
+
try:
|
| 243 |
+
agent = Agent(task=task, llm=llm_primary, browser=browser, use_vision=True, validate_output=False)
|
| 244 |
+
history = await agent.run()
|
| 245 |
+
result = history.final_result()
|
| 246 |
+
log("✅ Nemotron completed!")
|
| 247 |
+
except Exception as e:
|
| 248 |
+
log(f"⚠️ Nemotron failed: {str(e)[:100]}")
|
| 249 |
+
|
| 250 |
+
# Attempt 2: Gemini fallback
|
| 251 |
+
log("🔄 Switching to Gemini fallback...")
|
| 252 |
+
try:
|
| 253 |
+
agent = Agent(task=task, llm=llm_fallback, browser=browser, use_vision=True, validate_output=False)
|
| 254 |
+
history = await agent.run()
|
| 255 |
+
result = history.final_result()
|
| 256 |
+
log("✅ Gemini completed!")
|
| 257 |
+
except Exception as e2:
|
| 258 |
+
log(f"❌ Gemini also failed: {str(e2)[:100]}")
|
| 259 |
+
result = None
|
| 260 |
finally:
|
| 261 |
screenshot_task.cancel()
|
| 262 |
try:
|
|
|
|
| 264 |
except:
|
| 265 |
pass
|
| 266 |
|
| 267 |
+
parsed = parse_result(result, order_data)
|
| 268 |
+
parsed["logs"] = logs
|
| 269 |
+
parsed["task_id"] = task_id
|
| 270 |
+
return parsed
|
| 271 |
|
| 272 |
except Exception as e:
|
| 273 |
+
log(f"❌ Critical error: {e}")
|
| 274 |
+
return {"decision": "ERROR", "error": str(e), "logs": logs}
|
| 275 |
|
| 276 |
|
| 277 |
+
async def capture_screenshots(browser):
|
| 278 |
+
"""Capture browser screenshots during execution."""
|
| 279 |
while True:
|
| 280 |
try:
|
| 281 |
context = await browser.get_context()
|
|
|
|
| 284 |
await pages[0].screenshot(path=str(SCREENSHOT_PATH))
|
| 285 |
except:
|
| 286 |
pass
|
| 287 |
+
await asyncio.sleep(0.5)
|
| 288 |
|
| 289 |
|
| 290 |
+
def parse_result(result, order_data):
|
| 291 |
+
"""Parse agent result into structured validation response."""
|
|
|
|
|
|
|
| 292 |
if result is None:
|
| 293 |
+
return {"decision": "UNKNOWN", "email_valid": False, "phone_valid": False, "geo_valid": False, "reasoning": "All models failed"}
|
| 294 |
|
| 295 |
parsed = {}
|
| 296 |
if isinstance(result, str):
|
|
|
|
| 311 |
decision = "APPROVED" if email_valid and phone_valid and geo_valid else "BLOCKED"
|
| 312 |
|
| 313 |
return {
|
| 314 |
+
"order_id": order_data.get("order_id", "UNKNOWN"),
|
| 315 |
"decision": decision,
|
| 316 |
"email_valid": email_valid,
|
| 317 |
"phone_valid": phone_valid,
|
|
|
|
| 322 |
|
| 323 |
|
| 324 |
# =============================================================================
|
| 325 |
+
# FastAPI Application
|
| 326 |
# =============================================================================
|
| 327 |
|
| 328 |
+
@asynccontextmanager
|
| 329 |
+
async def lifespan(app: FastAPI):
|
| 330 |
+
# Startup
|
| 331 |
+
asyncio.create_task(setup_runtime())
|
| 332 |
+
yield
|
| 333 |
+
# Shutdown
|
| 334 |
+
if state.tunnel_process:
|
| 335 |
+
state.tunnel_process.terminate()
|
| 336 |
+
|
| 337 |
+
app = FastAPI(title="AI Agent Worker", version="3.0.0", lifespan=lifespan)
|
| 338 |
+
|
| 339 |
+
app.add_middleware(
|
| 340 |
+
CORSMiddleware,
|
| 341 |
+
allow_origins=["*"],
|
| 342 |
+
allow_credentials=True,
|
| 343 |
+
allow_methods=["*"],
|
| 344 |
+
allow_headers=["*"],
|
| 345 |
+
)
|
| 346 |
+
|
| 347 |
+
|
| 348 |
@app.get("/")
|
| 349 |
async def root():
|
| 350 |
return {
|
| 351 |
"service": "AI Agent Worker",
|
| 352 |
"status": "active",
|
| 353 |
+
"browser_ready": state.browser_ready,
|
| 354 |
+
"tunnel_active": state.tunnel_process is not None,
|
| 355 |
"timestamp": datetime.now().isoformat()
|
| 356 |
}
|
| 357 |
|
| 358 |
|
| 359 |
@app.get("/health")
|
| 360 |
async def health():
|
| 361 |
+
return {"status": "healthy", "browser_ready": state.browser_ready}
|
| 362 |
|
| 363 |
|
| 364 |
@app.get("/stream", response_class=HTMLResponse)
|
| 365 |
async def stream():
|
| 366 |
+
"""Live screenshot stream - replaces VNC."""
|
| 367 |
return """
|
| 368 |
<!DOCTYPE html>
|
| 369 |
<html>
|
| 370 |
<head>
|
| 371 |
+
<title>Ghost Runner - Live Feed</title>
|
| 372 |
+
<meta name="viewport" content="width=device-width, initial-scale=1">
|
| 373 |
<style>
|
| 374 |
+
* { margin: 0; padding: 0; box-sizing: border-box; }
|
| 375 |
+
body {
|
| 376 |
+
background: linear-gradient(135deg, #0d1117 0%, #161b22 100%);
|
| 377 |
+
min-height: 100vh;
|
| 378 |
+
display: flex;
|
| 379 |
+
flex-direction: column;
|
| 380 |
+
align-items: center;
|
| 381 |
+
padding: 20px;
|
| 382 |
+
font-family: 'Segoe UI', system-ui, sans-serif;
|
| 383 |
+
}
|
| 384 |
+
.header {
|
| 385 |
+
color: #00ff88;
|
| 386 |
+
font-size: 1.5em;
|
| 387 |
+
margin-bottom: 15px;
|
| 388 |
+
text-shadow: 0 0 20px rgba(0,255,136,0.3);
|
| 389 |
+
}
|
| 390 |
+
.container {
|
| 391 |
+
position: relative;
|
| 392 |
+
border: 2px solid #30363d;
|
| 393 |
+
border-radius: 12px;
|
| 394 |
+
overflow: hidden;
|
| 395 |
+
box-shadow: 0 8px 32px rgba(0,0,0,0.4);
|
| 396 |
+
}
|
| 397 |
+
img {
|
| 398 |
+
display: block;
|
| 399 |
+
max-width: 100%;
|
| 400 |
+
width: 1280px;
|
| 401 |
+
}
|
| 402 |
+
.status-bar {
|
| 403 |
+
position: absolute;
|
| 404 |
+
bottom: 0;
|
| 405 |
+
left: 0;
|
| 406 |
+
right: 0;
|
| 407 |
+
background: rgba(0,0,0,0.8);
|
| 408 |
+
padding: 8px 15px;
|
| 409 |
+
display: flex;
|
| 410 |
+
justify-content: space-between;
|
| 411 |
+
color: #8b949e;
|
| 412 |
+
font-size: 12px;
|
| 413 |
+
}
|
| 414 |
+
.live-dot {
|
| 415 |
+
display: inline-block;
|
| 416 |
+
width: 8px;
|
| 417 |
+
height: 8px;
|
| 418 |
+
background: #00ff88;
|
| 419 |
+
border-radius: 50%;
|
| 420 |
+
margin-right: 5px;
|
| 421 |
+
animation: pulse 1s infinite;
|
| 422 |
+
}
|
| 423 |
+
@keyframes pulse {
|
| 424 |
+
0%, 100% { opacity: 1; }
|
| 425 |
+
50% { opacity: 0.3; }
|
| 426 |
+
}
|
| 427 |
+
.logs {
|
| 428 |
+
margin-top: 20px;
|
| 429 |
+
width: 100%;
|
| 430 |
+
max-width: 1280px;
|
| 431 |
+
background: #161b22;
|
| 432 |
+
border: 1px solid #30363d;
|
| 433 |
+
border-radius: 8px;
|
| 434 |
+
padding: 15px;
|
| 435 |
+
color: #c9d1d9;
|
| 436 |
+
font-family: monospace;
|
| 437 |
+
font-size: 12px;
|
| 438 |
+
max-height: 200px;
|
| 439 |
+
overflow-y: auto;
|
| 440 |
+
}
|
| 441 |
</style>
|
| 442 |
</head>
|
| 443 |
<body>
|
| 444 |
+
<div class="header">👻 ALTYZEN Ghost Runner - Live Feed</div>
|
| 445 |
+
<div class="container">
|
| 446 |
+
<img id="screen" src="/screenshot" alt="Browser Feed"/>
|
| 447 |
+
<div class="status-bar">
|
| 448 |
+
<span><span class="live-dot"></span>LIVE</span>
|
| 449 |
+
<span id="timestamp">Connecting...</span>
|
| 450 |
+
</div>
|
| 451 |
+
</div>
|
| 452 |
+
<div class="logs" id="logs">Waiting for activity...</div>
|
| 453 |
<script>
|
| 454 |
setInterval(() => {
|
| 455 |
document.getElementById('screen').src = '/screenshot?' + Date.now();
|
| 456 |
+
document.getElementById('timestamp').textContent = new Date().toLocaleTimeString();
|
| 457 |
}, 1000);
|
| 458 |
+
|
| 459 |
+
setInterval(async () => {
|
| 460 |
+
try {
|
| 461 |
+
const resp = await fetch('/logs');
|
| 462 |
+
const data = await resp.json();
|
| 463 |
+
if (data.logs && data.logs.length > 0) {
|
| 464 |
+
document.getElementById('logs').innerHTML = data.logs.slice(-20).map(l => `<div>${l}</div>`).join('');
|
| 465 |
+
}
|
| 466 |
+
} catch (e) {}
|
| 467 |
+
}, 2000);
|
| 468 |
</script>
|
| 469 |
</body>
|
| 470 |
</html>
|
|
|
|
| 473 |
|
| 474 |
@app.get("/screenshot")
|
| 475 |
async def screenshot():
|
| 476 |
+
"""Current browser screenshot."""
|
| 477 |
if SCREENSHOT_PATH.exists():
|
| 478 |
return FileResponse(SCREENSHOT_PATH, media_type="image/png")
|
| 479 |
+
create_placeholder()
|
| 480 |
+
return FileResponse(SCREENSHOT_PATH, media_type="image/png")
|
| 481 |
+
|
| 482 |
+
|
| 483 |
+
@app.get("/logs")
|
| 484 |
+
async def get_logs():
|
| 485 |
+
"""Return recent logs."""
|
| 486 |
+
return {"logs": state.logs[-50:]}
|
| 487 |
|
| 488 |
|
| 489 |
@app.post("/run-task", response_model=TaskResponse)
|
| 490 |
async def run_task(request: TaskRequest):
|
| 491 |
+
"""Run a validation task."""
|
| 492 |
start_time = datetime.now()
|
| 493 |
+
state.current_task = request.task_id
|
| 494 |
+
state.logs = [] # Reset logs for new task
|
| 495 |
|
| 496 |
try:
|
| 497 |
if request.task_type in ["validate_order", "validate_email"]:
|
| 498 |
+
result = await validate_order({**request.data, "task_id": request.task_id})
|
| 499 |
execution_time = int((datetime.now() - start_time).total_seconds() * 1000)
|
| 500 |
|
| 501 |
return TaskResponse(
|
| 502 |
task_id=request.task_id,
|
| 503 |
+
status="success" if result.get("decision") not in ["ERROR", "UNKNOWN"] else "failed",
|
| 504 |
result=result,
|
| 505 |
+
logs=result.get("logs", []),
|
| 506 |
execution_time_ms=execution_time
|
| 507 |
)
|
| 508 |
else:
|
| 509 |
+
raise HTTPException(status_code=400, detail=f"Unknown task_type: {request.task_type}")
|
| 510 |
|
| 511 |
except Exception as e:
|
| 512 |
return TaskResponse(task_id=request.task_id, status="error", error=str(e))
|
| 513 |
+
finally:
|
| 514 |
+
state.current_task = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 515 |
|
| 516 |
|
| 517 |
if __name__ == "__main__":
|
requirements.txt
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
# ALTYZEN Ghost Runner - Requirements
|
| 2 |
-
# Standard Python environment
|
| 3 |
|
| 4 |
fastapi>=0.104.0
|
| 5 |
-
uvicorn>=0.24.0
|
| 6 |
pydantic>=2.0.0
|
| 7 |
python-dotenv>=1.0.0
|
| 8 |
httpx>=0.25.0
|
| 9 |
Pillow>=10.0.0
|
| 10 |
|
| 11 |
-
# Browser automation
|
| 12 |
browser-use>=0.1.0
|
| 13 |
playwright>=1.40.0
|
| 14 |
langchain-openai>=0.0.5
|
|
|
|
| 1 |
# ALTYZEN Ghost Runner - Requirements
|
| 2 |
+
# Standard Python environment
|
| 3 |
|
| 4 |
fastapi>=0.104.0
|
| 5 |
+
uvicorn[standard]>=0.24.0
|
| 6 |
pydantic>=2.0.0
|
| 7 |
python-dotenv>=1.0.0
|
| 8 |
httpx>=0.25.0
|
| 9 |
Pillow>=10.0.0
|
| 10 |
|
| 11 |
+
# Browser automation
|
| 12 |
browser-use>=0.1.0
|
| 13 |
playwright>=1.40.0
|
| 14 |
langchain-openai>=0.0.5
|