Refactor authentication and session management

- Removed old llm_login and session scripts, replacing them with a new structure for handling SSO login and session management.
- Introduced a new prompt system for collecting SSO redirect URLs, ensuring compliance with security protocols.
- Implemented a robust backend notification system for tracking scan initiation.
- Enhanced browser profile configuration and resource management for improved session handling.
- Added utility functions for environment variable checks and logging.
- Updated the overall architecture to improve maintainability and readability.
This commit is contained in:
imnyang 2025-06-15 12:24:01 +09:00
commit b68425f523
16 changed files with 251 additions and 232 deletions

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from browser_use.browser.context import BrowserContextConfig
from pathlib import Path
import os
from typing import Any
def browser_config_kwargs(lang: str = "en_US") -> dict[str, Any]:
browser_config_kwargs: dict[str, Any] = {
"keep_alive": True,
"browser_type": "chromium",
"headless": False,
"disable_security": True,
"extra_browser_args": [
"--disable-web-security",
"--disable-features=VizDisplayCompositor",
"--disable-site-isolation-trials",
"--disable-features=IsolateOrigins,site-per-process",
"--disable-popup-blocking",
"--disable-dev-shm-usage",
f"--lang={lang}",
"--ignore-certificate-errors",
"--ignore-ssl-errors",
"--allow-running-insecure-content"
],
}
proxy_host = os.getenv("PROXY_HOST")
proxy_port = os.getenv("PROXY_PORT")
if proxy_host and proxy_port:
browser_config_kwargs["extra_browser_args"].append(
f"--proxy-server=http={proxy_host}:{proxy_port};https={proxy_host}:{proxy_port}"
)
return browser_config_kwargs

25
lib/llm/__init__.py Normal file
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from langchain.callbacks.base import BaseCallbackHandler
from langchain_google_genai import ChatGoogleGenerativeAI
class QuotaExhaustedHandler(BaseCallbackHandler):
def on_llm_error(self, error, **kwargs):
if "ResourceExhausted" in str(error) or "429" in str(error):
print("⚠️ API 쿼터가 소진되었습니다. 재시도 로직에 위임합니다...")
# backoff handled in scan_one_url
def CreateChatGoogleGenerativeAI(model: str):
"""재시도 로직이 포함된 LLM 생성"""
if model == "fallback":
print("⚠️ Fallback 모델을 사용합니다. Envorinment 변수를 확인하세요.")
print("⚠️ Model Gemini-2.0-flash-lite를 사용합니다.")
model = "gemini-2.0-flash-lite"
return ChatGoogleGenerativeAI(
model=model,
max_retries=10, # 최대 재시도 횟수 증가
model_kwargs={
"request_timeout": 120, # 타임아웃 시간 증가 (2분)
},
callbacks=[QuotaExhaustedHandler()],
# API 호출 간격 조정
temperature=0.1,
)

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@ -1,12 +1,12 @@
from dotenv import load_dotenv
import os
from lib.llm.prompt import llm_login, session
load_dotenv(override=True)
def extend_planner_system_message():
if os.getenv("PROVIDOR_CREDENTIALS_IN_LLM", "False").lower() == "true":
from lib.prompt import llm_login
return llm_login.extend_planner_system_message
else:
from lib.prompt import session
return session.extend_planner_system_message

40
lib/utils/__init__.py Normal file
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from lib.utils.config import (
BACKEND_URL,
GOOGLE_API_KEY,
GOOGLE_MODEL,
GOOGLE_PLANNER_MODEL,
)
def show_info():
print("🔧 환경 설정:")
print(browser_use_version())
print(f"🔗 Backend URL: {BACKEND_URL}")
print(
f"🔑 Google API Key: {'*' * (len(GOOGLE_API_KEY) - 4) + GOOGLE_API_KEY[-4:] if GOOGLE_API_KEY else None}"
)
print(f"🌐 Google Model: {GOOGLE_MODEL}")
print(f"🌐 Google Planner Model: {GOOGLE_PLANNER_MODEL}")
def browser_use_version():
try:
# run uv pip show browser-use
import subprocess
result = subprocess.run(
["uv", "pip", "show", "browser-use"],
capture_output=True,
text=True,
check=True,
)
print("📦 Browser Use 패키지 정보:")
return result.stdout.strip()
except ImportError:
return None
def env_cheker():
if GOOGLE_API_KEY is None:
raise ValueError("GOOGLE_API_KEY 환경변수가 설정되지 않았습니다.")

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import requests
from config import BACKEND_URL
def notify_backend(target_url):
# Backend에 스캔 시작을 알림
try:
response = requests.post(
f"{BACKEND_URL}/start", params={"url": target_url}, timeout=5
)
if response.status_code == 200:
print(f"✅ Backend notified: {response.text}")
else:
print(f"⚠️ Backend notification failed: {response.status_code}")
except requests.exceptions.ConnectionError:
print(
f"⚠️ Backend server not available at {BACKEND_URL}. Continuing without notification."
)
except requests.exceptions.Timeout:
print(f"⚠️ Backend notification timed out. Continuing without notification.")
except Exception as e:
print(f"⚠️ Failed to notify backend: {e}")

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from func import *
import clean_resources as clean_resources_func
# Initialize configuration
proxy_url = setup_proxy()
storage_state_path = setup_storage_state()
# Create browser profile
profile = BrowserProfile(
# Security settings
disable_security=True,
stealth=True,
# Display settings
headless=False,
device_scale_factor=1,
window_size={"width": 1600, "height": 900},
viewport={"width": 1600, "height": 900},
# Data persistence
user_data_dir=None,
storage_state=storage_state_path,
# Network settings
proxy={"server": proxy_url} if proxy_url else None,
# Additional arguments
args=get_browser_args(),
)

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from pathlib import Path
async def clean_resources(agent=None, session=None):
"""리소스를 정리하는 함수"""
storage_state_temp_path = Path("./data/storage_state_temp.json").resolve()
if storage_state_temp_path.exists():
try:
# remove file
print(f"🗑️ 임시 스토리지 상태 파일 삭제 중: {storage_state_temp_path}")
# unlink removes the file
storage_state_temp_path.unlink()
print("🗑️ 임시 스토리지 상태 파일 삭제 완료.")
except Exception as e:
print(f"⚠️ 임시 스토리지 상태 파일 삭제 실패: {e}")
if agent:
try:
await agent.close()
except Exception as e:
print(f"⚠️ 에이전트 리소스 정리 실패: {e}")
if session:
try:
await session.close()
except Exception as e:
print(f"⚠️ 세션 리소스 정리 실패: {e}")

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import os
from pathlib import Path
from dotenv import load_dotenv
from browser_use import BrowserProfile
# Load environment variables
load_dotenv(override=True)
def setup_proxy():
"""Configure proxy settings from environment variables."""
proxy_host = os.getenv("PROXY_HOST")
proxy_port = os.getenv("PROXY_PORT")
if proxy_host and proxy_port:
proxy_url = f"http://{proxy_host}:{proxy_port}"
print(f"🔗 Using proxy: {proxy_host}:{proxy_port}")
return proxy_url
else:
print("🔗 No proxy configured, using direct connection.")
return None
def setup_storage_state():
"""Setup browser storage state for session persistence."""
storage_state_path = Path("./data/storage_state.json").resolve()
storage_state_temp_path = Path("./data/storage_state_temp.json").resolve()
if storage_state_path.exists():
if storage_state_temp_path.exists():
storage_state_temp_path.unlink()
storage_state_temp_path.write_text(
storage_state_path.read_text(encoding="utf-8"), encoding="utf-8"
)
print(f"🔄 Using existing storage state: {storage_state_temp_path}")
return str(storage_state_temp_path)
return None
def get_browser_args():
"""Get browser arguments for enhanced compatibility and security."""
return [
# Security and isolation
"--disable-web-security",
"--disable-site-isolation-trials",
"--disable-features=IsolateOrigins,site-per-process",
"--ignore-certificate-errors",
"--ignore-ssl-errors",
"--allow-running-insecure-content",
# Performance and rendering
"--disable-features=VizDisplayCompositor",
"--disable-dev-shm-usage",
# Popup and automation
"--disable-popup-blocking",
"--disable-blink-features=AutomationControlled",
# Browser behavior
"--no-first-run",
"--no-service-autorun",
"--no-default-browser-check",
"--password-store=basic",
"--use-mock-keychain",
# Extensions
"--disable-extensions-file-access-check",
"--disable-extensions-http-throttling",
"--disable-component-extensions-with-background-pages",
# Language
f"--lang={os.getenv('LANG', 'en_US')}",
]

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from typing import List
from pydantic import BaseModel
# 출력 모델
class OAuth(BaseModel):
provider: str
oauth_uri: str
class OAuthList(BaseModel):
oauth_providers: List[OAuth]

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lib/utils/config.py Normal file
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import os
from dotenv import load_dotenv
load_dotenv(verbose=True, override=True)
BACKEND_URL = os.getenv("BACKEND_URL", "http://localhost:11081")
GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
GOOGLE_MODEL = os.getenv("GOOGLE_MODEL", "gemini-2.5-flash-preview-05-20")
GOOGLE_PLANNER_MODEL = os.getenv("GOOGLE_PLANNER_MODEL", "gemini-2.5-pro-preview-06-05")