Files
browser-use/app.py
T
2026-03-06 00:23:55 +03:00

409 lines
15 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""
Browser Use REST API Server
Простой HTTP API для управления браузером из n8n
"""
import os
import asyncio
from typing import Optional
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field
from browser_use import Agent, Browser, BrowserProfile, ChatOpenAI
from browser_use.agent.views import AgentHistoryList
import uvicorn
from fastapi.responses import HTMLResponse
# Настройки Remote Debugging
REMOTE_DEBUGGING_PORT = int(os.getenv("REMOTE_DEBUGGING_PORT", "9222"))
REMOTE_DEBUGGING_ENABLED = os.getenv("REMOTE_DEBUGGING_ENABLED", "false").lower() == "true"
# Модель по умолчанию из переменной окружения
DEFAULT_MODEL = os.getenv("LLM_MODEL_NAME", "openai/gpt-4o-mini")
app = FastAPI(title="Browser Use API", version="1.0.0")
# Модели запросов
class TaskRequest(BaseModel):
task: str
max_steps: Optional[int] = 20
model: Optional[str] = Field(default_factory=lambda: os.getenv("LLM_MODEL_NAME", "openai/gpt-4o-mini"))
class TaskResponse(BaseModel):
task_id: str
status: str
result: Optional[str] = None
error: Optional[str] = None
# Хранилище задач
tasks = {}
@app.post("/api/tasks", response_model=TaskResponse)
async def create_task(request: TaskRequest):
"""Создать новую задачу браузера"""
import uuid
task_id = str(uuid.uuid4())[:8]
tasks[task_id] = {
"status": "pending",
"task": request.task,
"result": None
}
# Запускаем задачу в фоне
asyncio.create_task(run_browser_task(task_id, request.task, request.max_steps, request.model))
return TaskResponse(
task_id=task_id,
status="pending"
)
async def run_browser_task(task_id: str, task: str, max_steps: int, model: str):
"""Выполнение задачи браузера"""
browser = None
try:
tasks[task_id]["status"] = "running"
# Настройка LLM через OpenRouter
api_key = os.getenv("OPENROUTER_API_KEY", "")
if not api_key:
raise ValueError("OPENROUTER_API_KEY not set")
# Используем ChatOpenAI с base_url для OpenRouter
llm = ChatOpenAI(
model=model,
base_url="https://openrouter.ai/api/v1",
api_key=api_key
)
# Настройки браузера
# Если включен remote debugging - запускаем Chrome вручную и подключаемся через CDP
if REMOTE_DEBUGGING_ENABLED:
import subprocess
import glob
import urllib.request
# Точный путь из контейнера
CHROME_PATH = "/root/.cache/ms-playwright/chromium-1208/chrome-linux64/chrome"
# Ищем chrome
chrome_exe = None
if os.path.exists(CHROME_PATH):
chrome_exe = CHROME_PATH
else:
# Fallback - ищем в кэше
for pattern in [
"/root/.cache/ms-playwright/chromium-*/chrome-linux64/chrome",
"/ms-playwright/*/chrome-linux/chrome",
]:
matches = glob.glob(pattern)
if matches:
chrome_exe = matches[0]
break
if not chrome_exe:
raise RuntimeError(f"Chrome not found. Path: {CHROME_PATH}")
# Создаем уникальную директорию для профиля (чтобы избежать блокировки)
import uuid
unique_id = str(uuid.uuid4())[:8]
user_data_dir = f"/app/browser-data-{unique_id}"
os.makedirs(user_data_dir, exist_ok=True)
# Запускаем Chrome с remote debugging
chrome_cmd = [
chrome_exe,
f"--remote-debugging-port={REMOTE_DEBUGGING_PORT}",
f"--remote-debugging-address=0.0.0.0",
f"--user-data-dir={user_data_dir}",
"--no-first-run",
"--no-default-browser-check",
"--disable-extensions",
"--disable-gpu",
"--no-sandbox",
"--disable-dev-shm-usage",
"--headless",
"about:blank"
]
# Запускаем процесс
process = subprocess.Popen(
chrome_cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE
)
# Ждем пока Chrome запустится и CDP будет готов
cdp_ready = False
for i in range(30): # Ждем до 30 секунд
await asyncio.sleep(1)
try:
response = urllib.request.urlopen(
f"http://localhost:{REMOTE_DEBUGGING_PORT}/json/version",
timeout=2
)
if response.status == 200:
cdp_ready = True
break
except Exception:
pass
if not cdp_ready:
# Получаем логи Chrome
stdout, stderr = process.communicate(timeout=5)
raise RuntimeError(
f"Chrome started but CDP not ready after 30s.\n"
f"STDOUT: {stdout.decode()}\n"
f"STDERR: {stderr.decode()}"
)
# Подключаемся через CDP
cdp_url = f"http://localhost:{REMOTE_DEBUGGING_PORT}"
browser = Browser(cdp_url=cdp_url)
else:
# Обычный запуск
browser_profile = BrowserProfile(
user_data_dir="/app/browser-data",
profile_directory="Default",
headless=True,
keep_alive=True,
)
browser = Browser(browser_profile=browser_profile)
# Создание агента
agent = Agent(
task=task,
llm=llm,
browser=browser,
)
# Выполнение задачи
history: AgentHistoryList = await agent.run(max_steps=max_steps)
# Получение результата
result = history.final_result()
tasks[task_id]["status"] = "completed"
tasks[task_id]["result"] = result
except Exception as e:
tasks[task_id]["status"] = "failed"
tasks[task_id]["error"] = str(e)
finally:
# Закрытие браузера (правильный способ)
if browser:
try:
# browser_use сам управляет закрытием
pass
except:
pass
@app.get("/api/tasks/{task_id}", response_model=TaskResponse)
async def get_task(task_id: str):
"""Получить статус/результат задачи"""
if task_id not in tasks:
raise HTTPException(status_code=404, detail="Task not found")
task = tasks[task_id]
return TaskResponse(
task_id=task_id,
status=task["status"],
result=task.get("result"),
error=task.get("error")
)
@app.get("/api/tasks")
async def list_tasks():
"""Получить список всех задач"""
return {
"tasks": [
{
"task_id": task_id,
"status": task["status"],
"task": task.get("task", ""),
"result": task.get("result"),
"error": task.get("error")
}
for task_id, task in tasks.items()
]
}
@app.get("/api/health")
async def health_check():
"""Проверка здоровья сервера"""
return {
"status": "healthy",
"service": "browser-use-api",
"version": "1.0.0"
}
# Web UI - Главная страница
WEB_UI_HTML = """
<!DOCTYPE html>
<html lang="ru">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Browser Use API</title>
<style>
body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; max-width: 800px; margin: 50px auto; padding: 20px; }
h1 { color: #333; }
.card { border: 1px solid #ddd; border-radius: 8px; padding: 20px; margin: 20px 0; }
.btn { background: #007bff; color: white; padding: 10px 20px; border: none; border-radius: 4px; cursor: pointer; text-decoration: none; display: inline-block; }
.btn:hover { background: #0056b3; }
code { background: #f4f4f4; padding: 2px 6px; border-radius: 3px; }
pre { background: #f4f4f4; padding: 15px; border-radius: 5px; overflow-x: auto; }
</style>
</head>
<body>
<h1>Browser Use API</h1>
<p>REST API для автоматизации браузера с помощью AI</p>
<div class="card">
<h2>Быстрые ссылки</h2>
<p><a href="/dashboard" class="btn">Открыть Dashboard</a></p>
</div>
<div class="card">
<h2>API Endpoints</h2>
<ul>
<li><code>POST /api/tasks</code> - Создать задачу</li>
<li><code>GET /api/tasks/{task_id}</code> - Получить результат</li>
<li><code>GET /api/health</code> - Проверка здоровья</li>
</ul>
</div>
<div class="card">
<h2>Пример использования</h2>
<pre>curl -X POST http://localhost:8383/api/tasks \\
-H "Content-Type: application/json" \\
-d '{"task": "Перейди на example.com", "max_steps": 20}'</pre>
</div>
</body>
</html>
"""
DASHBOARD_HTML = """
<!DOCTYPE html>
<html lang="ru">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Browser Use Dashboard</title>
<style>
* { box-sizing: border-box; }
body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; margin: 0; padding: 20px; background: #f5f5f5; }
.container { max-width: 1200px; margin: 0 auto; }
h1 { color: #333; }
.card { background: white; border-radius: 8px; padding: 20px; margin-bottom: 20px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
.task-form { display: flex; gap: 10px; flex-wrap: wrap; }
input, select { padding: 10px; border: 1px solid #ddd; border-radius: 4px; font-size: 14px; }
input[type="text"] { flex: 1; min-width: 200px; }
input[type="number"] { width: 100px; }
button { background: #007bff; color: white; padding: 10px 20px; border: none; border-radius: 4px; cursor: pointer; font-size: 14px; }
button:hover { background: #0056b3; }
.task-list { list-style: none; padding: 0; }
.task-item { border: 1px solid #eee; padding: 15px; margin: 10px 0; border-radius: 4px; }
.status-pending { border-left: 4px solid #ffc107; }
.status-running { border-left: 4px solid #17a2b8; }
.status-completed { border-left: 4px solid #28a745; }
.status-failed { border-left: 4px solid #dc3545; }
.badge { display: inline-block; padding: 4px 8px; border-radius: 3px; font-size: 12px; background: #eee; }
.result { background: #f8f9fa; padding: 10px; border-radius: 4px; margin-top: 10px; white-space: pre-wrap; }
.nav { margin-bottom: 20px; }
.nav a { color: #007bff; text-decoration: none; }
</style>
</head>
<body>
<div class="container">
<div class="nav"><a href="/">&larr; На главную</a></div>
<h1>Browser Use Dashboard</h1>
<div class="card">
<h2>Создать задачу</h2>
<form class="task-form" id="taskForm">
<input type="text" id="taskInput" placeholder="Описание задачи (например: Перейди на example.com)" required>
<input type="number" id="maxSteps" value="20" min="1" max="100" placeholder="Шаги">
<select id="modelSelect">
<option value="arcee-ai/trinity-large-preview:free">arcee-ai/trinity-large-preview:free</option>
<option value="openai/gpt-4o-mini">openai/gpt-4o-mini</option>
<option value="google/gemini-2.0-flash-001">google/gemini-2.0-flash-001</option>
</select>
<button type="submit">Запустить</button>
</form>
</div>
<div class="card">
<h2>Задачи</h2>
<button onclick="refreshTasks()">Обновить</button>
<ul class="task-list" id="taskList"></ul>
</div>
</div>
<script>
let pollInterval;
document.getElementById('taskForm').addEventListener('submit', async (e) => {
e.preventDefault();
const task = document.getElementById('taskInput').value;
const max_steps = parseInt(document.getElementById('maxSteps').value);
const model = document.getElementById('modelSelect').value;
const response = await fetch('/api/tasks', {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({task, max_steps, model})
});
const data = await response.json();
alert('Задача создана! ID: ' + data.task_id);
refreshTasks();
});
async function refreshTasks() {
try {
const res = await fetch('/api/tasks');
const data = await res.json();
const list = document.getElementById('taskList');
list.innerHTML = '';
const taskList = data.tasks || [];
if (taskList.length === 0) {
list.innerHTML = '<li>Нет задач. Создайте первую задачу!</li>';
return;
}
for (const task of taskList) {
const li = document.createElement('li');
li.className = 'task-item status-' + task.status;
li.innerHTML = `
<strong>Task ID:</strong> ${task.task_id}<br>
<strong>Задача:</strong> ${task.task || 'N/A'}<br>
<span class="badge">${task.status}</span><br>
<strong>Результат:</strong>
<div class="result">${task.result || task.error || 'Ожидание...'}</div>
`;
list.appendChild(li);
}
} catch (e) {
console.error(e);
}
}
refreshTasks();
setInterval(refreshTasks, 5000);
</script>
</body>
</html>
"""
@app.get("/", response_class=HTMLResponse)
async def root():
"""Главная страница"""
return HTMLResponse(content=WEB_UI_HTML)
@app.get("/dashboard", response_class=HTMLResponse)
async def dashboard():
"""Dashboard"""
return HTMLResponse(content=DASHBOARD_HTML)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8383)