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Merge pull request #22 from j93es/feat/refect
Breaking Changes: 코드 전체 리팩토링
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19 changed files with 300 additions and 394 deletions
25
README.md
25
README.md
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@ -116,23 +116,30 @@ uv run run.py 1 100 --skh
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## 1. 파일 생성
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`lib/llm/prompt` 폴더로
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`lib/llm/prompt` 폴더에서 fallback 폴더를 복사하여
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원하는 프로바이더를 추가해줍니다. `ex) lib/llm/prompt/Google/`
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fallback.py를 복사하여
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## 2. prompt.py 수정
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원하는 프로바이더를 추가해줍니다. `ex) lib/llm/prompt/Google.py`
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Prompt에서 추가한 파일을 prompt.py에서 수정합니다.
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## 2. __init__.py 수정
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만약 로그인 정보를 넣고 싶다면 Sensitive
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`Log into example.com as user x_username with password x_password`
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## 3. model.py
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Prompt에서 추가한 파일을 __init__.py에서 import합니다.
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응답할 때 원하는 리턴 값을 `dict`로 받습니다.
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## 3. 파일 수정
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## 4. \_\_init\_\_.py 수정
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생성한 파일에서 프롬프트를 수정합니다.
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추가한 prompt에 따라 import합니다.
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## 5. 사용 방법
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```py
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from lib.llm.prompt.fallback import prompt, model
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```
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# 참고하면 좋을만한 것
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@ -5,7 +5,7 @@ description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"browser-use[memory]==0.3.2",
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"browser-use[memory]==0.3.3",
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"chardet>=5.2.0",
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"lmnr[all]>=0.6.10",
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"patchright>=1.52.5",
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@ -14,8 +14,7 @@ from lib.utils import (
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logger,
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config,
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)
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from lib.llm import CreateChatGoogleGenerativeAI, get_prompt
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import lib.browser_use.model as model
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from lib.llm import CreateChatGoogle, get_prompt
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# Exponential backoff settings
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INITIAL_BACKOFF = int(os.getenv("INITIAL_BACKOFF", "60")) # seconds
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@ -77,6 +76,7 @@ async def extract_oauth_list(url: str):
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"""첫 번째 Agent: 로그인 페이지를 찾고 OAuth 리스트만 추출"""
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target_url = url if url.startswith("http") else f"https://{url}"
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print(f"🔎 OAuth 리스트 추출 시작: {target_url}")
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prompt, model = get_prompt("auth")
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agent_config = {
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"url": target_url,
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@ -90,17 +90,17 @@ async def extract_oauth_list(url: str):
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"Just find and list all available OAuth providers with their button texts or provider names. "
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"Return a list of OAuth providers found on the login page."
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),
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"llm": CreateChatGoogleGenerativeAI(config.GOOGLE_MODEL),
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"llm": CreateChatGoogle(config.GOOGLE_MODEL),
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"planner_llm": (
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CreateChatGoogleGenerativeAI(config.GOOGLE_PLANNER_MODEL)
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CreateChatGoogle(config.GOOGLE_PLANNER_MODEL)
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if config.GOOGLE_PLANNER_MODEL
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else None
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),
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"controller": Controller(
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output_model=model.OAuthList,
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output_model=model if not isinstance(model, str) else None,
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exclude_actions=["search_google", "unknown_action", "unkown"],
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),
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"extend_planner_system_message": get_prompt("auth"),
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"extend_planner_system_message": prompt,
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}
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}
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@ -116,8 +116,14 @@ async def extract_oauth_list(url: str):
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try:
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data = json.loads(final_result)
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oauth_providers = data.get("oauth_providers", [])
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return [model.OAuth(provider=provider) for provider in oauth_providers]
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print(final_result)
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oauth_providers = data.get("sso_list", [])
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if not oauth_providers:
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print("❌ OAuth 제공자가 없습니다.")
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logger(f"❌ {url} - OAuth 제공자 없음: {final_result}")
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return []
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print(f"✅ OAuth 제공자 추출 완료: {oauth_providers}")
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return oauth_providers
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except (json.JSONDecodeError, KeyError) as e:
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print(f"❌ 결과 파싱 실패: {e}")
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logger(f"❌ {url} 결과 파싱 실패: {final_result}")
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@ -129,6 +135,8 @@ async def test_oauth_login(url: str, oauth_provider: str):
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target_url = url if url.startswith("http") else f"https://{url}"
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print(f"🔐 {oauth_provider} 로그인 시작: {target_url}")
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prompt, model = get_prompt(oauth_provider)
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agent_config = {
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"url": target_url,
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"log_context": f"{oauth_provider} 로그인",
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@ -142,16 +150,17 @@ async def test_oauth_login(url: str, oauth_provider: str):
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f"If login fails or encounters errors, report the issue. "
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f"Focus only on {oauth_provider} - ignore other OAuth providers."
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),
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"llm": CreateChatGoogleGenerativeAI(config.GOOGLE_MODEL),
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"llm": CreateChatGoogle(config.GOOGLE_MODEL),
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"planner_llm": (
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CreateChatGoogleGenerativeAI(config.GOOGLE_PLANNER_MODEL)
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CreateChatGoogle(config.GOOGLE_PLANNER_MODEL)
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if config.GOOGLE_PLANNER_MODEL and os.getenv("ENABLE_PLANNER_MODEL_OAUTH_LOGIN")
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else None
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),
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"controller": Controller(
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output_model=model if not isinstance(model, str) else None,
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exclude_actions=["search_google", "unknown_action", "unkown"],
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),
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"extend_planner_system_message": get_prompt(oauth_provider),
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"extend_planner_system_message": prompt,
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}
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}
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@ -30,7 +30,7 @@ async def scan_one_url(url: str, skip_html_check: bool = False):
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print(f"🔗 스캔 URL: {url}")
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print(f"🔐 발견된 OAuth 제공자들: {len(oauth_entries)}개")
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for entry in oauth_entries:
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print(f" - {entry.provider}")
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print(f" - {entry}")
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print("-" * 50)
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# CSV에 OAuth 리스트 저장
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@ -41,12 +41,12 @@ async def scan_one_url(url: str, skip_html_check: bool = False):
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if not file_exists:
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writer.writerow(["issuer", "provider", "oauth_uri", "login_tested"])
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for entry in oauth_entries:
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writer.writerow([url, entry.provider, "", "pending"])
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writer.writerow([url, entry, "", "pending"])
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# 2단계: 각 OAuth 제공자별로 개별 로그인 시도
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for i, oauth_entry in enumerate(oauth_entries):
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print(
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f"\n🔄 OAuth 로그인 테스트 {i+1}/{len(oauth_entries)}: {oauth_entry.provider}"
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f"\n🔄 OAuth 로그인 테스트 {i+1}/{len(oauth_entries)}: {oauth_entry}"
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)
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# OAuth 간 대기 시간
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@ -55,11 +55,11 @@ async def scan_one_url(url: str, skip_html_check: bool = False):
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await asyncio.sleep(30)
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# 개별 OAuth 로그인 시도
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success = await test_oauth_login(url, oauth_entry.provider)
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success = await test_oauth_login(url, oauth_entry)
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# 결과를 CSV에 업데이트 (간단하게 로그만 남김)
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status = "success" if success else "failed"
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print(f"📝 {oauth_entry.provider} 로그인 결과: {status}")
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print(f"📝 {oauth_entry} 로그인 결과: {status}")
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async def main_loop(
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@ -1,25 +1,18 @@
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from langchain.callbacks.base import BaseCallbackHandler
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from langchain_google_genai import ChatGoogleGenerativeAI
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from browser_use.llm import ChatGoogle
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from dotenv import load_dotenv
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class QuotaExhaustedHandler(BaseCallbackHandler):
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def on_llm_error(self, error, **kwargs):
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if "ResourceExhausted" in str(error) or "429" in str(error):
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print("⚠️ API 쿼터가 소진되었습니다. 재시도 로직에 위임합니다...")
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# backoff handled in scan_one_url
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# 환경 변수 로드 (GOOGLE_API_KEY 필요)
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load_dotenv(override=True)
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def CreateChatGoogleGenerativeAI(model: str):
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"""재시도 로직이 포함된 LLM 생성"""
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def CreateChatGoogle(model: str):
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"""Browser Use용 Google 모델 생성"""
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if model == "fallback":
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print("⚠️ Fallback 모델을 사용합니다. Envorinment 변수를 확인하세요.")
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print("⚠️ Model Gemini-2.0-flash-lite를 사용합니다.")
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print("⚠️ Fallback 모델을 사용합니다. Environment 변수를 확인하세요.")
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print("⚠️ Model gemini-2.0-flash-lite를 사용합니다.")
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model = "gemini-2.0-flash-lite"
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return ChatGoogleGenerativeAI(
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return ChatGoogle(
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model=model,
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max_retries=10, # 최대 재시도 횟수 증가
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model_kwargs={
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"request_timeout": 120, # 타임아웃 시간 증가 (2분)
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},
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callbacks=[QuotaExhaustedHandler()],
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# API 호출 간격 조정
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temperature=0.0,
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# Browser Use는 내부적으로 재시도 로직을 처리합니다
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)
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@ -1,18 +1,21 @@
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# why this is isn't index
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# 이 파일을 __init__.py로 만든 이유는
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# 굳이 이 짧은 코드를 파일을 하나 더 만드는게 코드의 가독성을 떨어뜨린다고 판단했기 때문입니다.
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from typing import Union, Type
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from pydantic import BaseModel
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def get_prompt(type:str) -> str:
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def get_prompt(type: str) -> tuple[str, Type[BaseModel]] | str:
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"""
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Prompt를 반환합니다.
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:param type: 'auth' {Auth List} 또는 'google' {OAuth Provider}, 'meta' {OAuth Provider}을 지정합니다.
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:return: 해당하는 프롬프트 문자열
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:return: 해당하는 프롬프트 문자열 또는 (프롬프트, 모델) 튜플
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"""
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if type.lower() == "auth":
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from lib.llm.prompt.auth_list import extract_oauth_list_prompt
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return extract_oauth_list_prompt
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from lib.llm.prompt.get_oauth import prompt, model
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return prompt, model
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elif type.lower() in ["google", "google account"]:
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from lib.llm.prompt.google import prompt, model
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return prompt, model
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else:
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from lib.llm.prompt.fallback import extend_planner_system_message
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return extend_planner_system_message
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from lib.llm.prompt.fallback import model, prompt
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return prompt, model
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@ -1,41 +0,0 @@
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# @file purpose: This file contains the prompt for extracting a list of OAuth providers from a web page.
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# OAuth 리스트 추출용 프롬프트 (클릭하지 않고 단순 식별만)
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extract_oauth_list_prompt = f"""
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🎯 목적: 주어진 초기 URL 내에서 **OAuth 로그인 Provider**를 찾아 아래 형식의 JSON으로 정리합니다.
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📌 작업 목표:
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- Google, GitHub, Discord, Facebook, Apple, Microsoft, Twitter, LinkedIn 등 **OAuth 인증을 사용하는 외부 로그인 링크**에서 Provider 이름만 모두 수집합니다.
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- 로그인 버튼, 링크 클릭 등을 통해 탐색을 진행할 수 있습니다.
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- **같은 provider가 여러 번 나와도 하나만 저장**합니다.
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🛑 제한 사항:
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- ❌ 로그인 입력창이나 이메일/비밀번호 입력 방식은 제외합니다.
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- ❌ 검색 엔진, 사이트 외부 탐색은 금지합니다.
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- ❌ URL 추측이나 직접 입력은 금지합니다.
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- ❌ OAuth가 없는 경우 빈 배열 `[]`로 반환합니다.
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- ❌ OAuth가 아닌 일반 로그인은 무시합니다.
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🔍 탐색 방법:
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1. 초기 URL에 접속하여 **클라이언트용 로그인 페이지**로 진입합니다.
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2. 페이지가 정상적으로 로드되었다고 가정합니다.
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3. 'Continue with X', 'Continue with Google'... 등의 버튼이나 링크를 식별합니다.
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🧾 출력 형식 (예시):
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```json
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{{
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"oauth_providers": [
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"Google",
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"GitHub",
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"Discord"
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]
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}}
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```
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📌 주의:
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결과가 없는 경우 빈 배열 `[]`로 반환합니다.
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정확한 provider 이름을 포함해 주세요.
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"""
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2
src/lib/llm/prompt/fallback/__init__.py
Normal file
2
src/lib/llm/prompt/fallback/__init__.py
Normal file
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@ -0,0 +1,2 @@
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from lib.llm.prompt.fallback.prompt import prompt
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from lib.llm.prompt.fallback.model import model
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6
src/lib/llm/prompt/fallback/model.py
Normal file
6
src/lib/llm/prompt/fallback/model.py
Normal file
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@ -0,0 +1,6 @@
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from pydantic import BaseModel
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class model(BaseModel):
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msg: str | None = None
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status: str | None = None # "success", "mfa_required", "google_blocked", "sso_not_found", "login_page_not_found", "invalid_credentials"
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final_url: str | None = None
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122
src/lib/llm/prompt/fallback/prompt.py
Normal file
122
src/lib/llm/prompt/fallback/prompt.py
Normal file
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@ -0,0 +1,122 @@
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# Extended planner prompt
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prompt = f"""
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🎯 목적: 웹 자동화를 위한 **SSO 로그인 리디렉션 URL 수집**
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📌 주의사항 (전제 조건)
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- ❌ **검색 엔진(Google, Bing 등) 사용 금지**
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- ✅ **초기 제공된 URL 내에서만 탐색**
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- ❌ 직접 이동하거나 추측한 링크 클릭 금지
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- ⛔ 추측한 URL은 대답하거나 클릭하지 마세요
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- OAuth가 아닌 일반 로그인은 무시
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- OAuth가 없다면 **즉시 중단**하고 빈 배열 반환
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---
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## 🧩 Step 0: 페이지 차단(Block) 여부 확인
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초기 URL의 로그인 페이지에 접근하여 다음 사항을 점검합니다:
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- 🚫 페이지 차단됨 (Firewall, Access Denied 등) → 즉시 중단
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- 🔒 CAPTCHA는 통과 가능 (해결하고 계속 진행)
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- ❗ 로그인 UI가 정상적으로 로드되지 않으면 중단
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📤 차단 시 즉시 종료
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---
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## 🔍 Step 1: 로그인 페이지 탐색
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|
||||
* 초기 URL에 접속하여 **클라이언트용 로그인 페이지**로 진입합니다.
|
||||
* 쿠키 동의, 개인정보 안내 등 팝업은 무시하거나 닫고 계속 진행하세요.
|
||||
* 페이지가 정상 로드되었다고 가정합니다.
|
||||
|
||||
---
|
||||
|
||||
## 👀 Step 2: SSO 로그인 버튼 식별
|
||||
|
||||
아래 **OAuth SSO 버튼들만** 유효합니다:
|
||||
|
||||
* ✅ Google, GitHub, Facebook, LinkedIn, Microsoft, Naver
|
||||
|
||||
**유효한 버튼 기준**:
|
||||
|
||||
* OAuth 인증 흐름을 실제로 트리거
|
||||
* `window.location` 또는 `<a href=...>` 또는 JS로 redirect가 발생
|
||||
|
||||
**제외 버튼들 (클릭 금지)**:
|
||||
|
||||
* ❌ 일반 로그인, 패스키, 이메일/전화번호, 인증서 기반, 비밀번호 입력
|
||||
|
||||
---
|
||||
|
||||
## ✅ Step 3: 모든 SSO 버튼 클릭 및 로그인 시도
|
||||
|
||||
> 각 SSO 로그인 버튼을 클릭한 뒤 반드시 아래 절차를 **완전히 수행**해야 합니다.
|
||||
|
||||
각 SSO 버튼에 대해 다음을 수행:
|
||||
|
||||
1. 버튼 클릭
|
||||
2. ✅ 로그인 진행:
|
||||
- 로그인 페이지에서 OAuth 인증을 완료합니다.
|
||||
- sign in with your username(email) x_username and password is x_password
|
||||
- 버튼같은게 안눌리면 새로고침을 해봐
|
||||
- **로그인 완료 후 authorize 등 버튼이 있으면 클릭**
|
||||
- GitHub같은 경우 Authorize 버튼이 뜨는데 오래걸릴 수 있음, 기다려야 할 수도 있음
|
||||
- 만약 버튼을 눌러도 반응이 없을 경우 새로고침을 한번 해주세요.
|
||||
- **OAuth Flow가 완료되면 (callback URL 도달 또는 인증 완료) 즉시 작업 종료**
|
||||
4. 로그인이 성공하면 모두 쿠키를 삭제하고 다음 SSO 버튼을 클릭합니다.
|
||||
5. 다음 SSO 버튼으로 반복 진행
|
||||
|
||||
쿠키 삭제 방법:
|
||||
chrome://settings/clearBrowserData에 들어가서 삭제해주세요.
|
||||
|
||||
🛑 절대 아래와 같이 해석하지 말 것:
|
||||
- ❌ 버튼 클릭 후 페이지 로딩만 기다리고 돌아가기
|
||||
- ❌ URL 저장 없이 go_back() 호출
|
||||
|
||||
---
|
||||
|
||||
### ✨ 추가 안전 장치: "뒤로가기(go_back) 호출 조건" 제한
|
||||
|
||||
```text
|
||||
🛑 뒤로가기(go_back)은 다음 조건이 모두 충족될 때만 사용 => 다만 로그인 실패 시, 뒤로가기 수행:
|
||||
- ✅ 로그인 흐름이 완료됨 (예: redirect back to app, or callback URL)
|
||||
- ✅ 현재 리디렉션 URL이 수집됨
|
||||
- ✅ 결과에 저장 후 다음 버튼 탐색을 위해 복귀 필요할 때
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚫 Step 4: 버튼 없음 또는 예외 발생 시
|
||||
|
||||
* 유효한 SSO 버튼이 **전혀 없을 경우**
|
||||
* 예외, 오류 등 발생 시
|
||||
|
||||
-> 즉시 중단
|
||||
|
||||
---
|
||||
|
||||
|
||||
최종 반환:
|
||||
Return the result in the following format only:
|
||||
|
||||
```json
|
||||
{{
|
||||
"msg": "Google login completed",
|
||||
"status": "success" | "already_logged_in" | "mfa_required" | "captcha_triggered" | "window_blocked" | "idpw_required" | "google_blocked" | "sso_not_found" | "login_page_not_found",
|
||||
"final_url": "<url_after_login_redirect or empty string>"
|
||||
}}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📎 중요 규칙 요약
|
||||
|
||||
* ✅ **모든 SSO 로그인은 반드시 실행** (가능한 버튼은 모두 클릭)
|
||||
* 🔁 단계는 반드시 순서대로 진행
|
||||
* 🔐 로그인은 쿠키/세션으로 유지된 상태에서 수행
|
||||
* 👀 직접 OAuth Providor ID/PW를 입력하여도 됨 가지고 있다면
|
||||
* ⛔ 추측한 URL은 접속하지 않음
|
||||
|
||||
---
|
||||
"""
|
||||
2
src/lib/llm/prompt/get_oauth/__init__.py
Normal file
2
src/lib/llm/prompt/get_oauth/__init__.py
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
from lib.llm.prompt.get_oauth.prompt import prompt
|
||||
from lib.llm.prompt.get_oauth.model import model
|
||||
6
src/lib/llm/prompt/get_oauth/model.py
Normal file
6
src/lib/llm/prompt/get_oauth/model.py
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
from pydantic import BaseModel
|
||||
|
||||
class model(BaseModel):
|
||||
msg: str | None = None
|
||||
url: str | None = None
|
||||
sso_list: list[str] = [] # List of SSO providers found on the login page
|
||||
61
src/lib/llm/prompt/get_oauth/prompt.py
Normal file
61
src/lib/llm/prompt/get_oauth/prompt.py
Normal file
|
|
@ -0,0 +1,61 @@
|
|||
prompt = """
|
||||
You are an expert in finding login pages.
|
||||
|
||||
Your task is to navigate to the login page of the given URL. Follow the steps below strictly and return results only in the specified format.
|
||||
|
||||
※ You are NOT allowed to navigate to URLs that are not directly discoverable within the initial domain. Do NOT use search engines or guess external login URLs.
|
||||
|
||||
0. INITIAL BLOCK CHECK
|
||||
- If the browser is blocked when trying to access the page — due to firewall, CAPTCHA, regional restrictions, or other access denials — immediately terminate the process and return the following JSON:
|
||||
```json
|
||||
{
|
||||
"msg": "Blocked",
|
||||
"url": "",
|
||||
"sso_list": []
|
||||
}
|
||||
```
|
||||
- Do NOT proceed to further steps in this case.
|
||||
|
||||
1. LOGIN PAGE NAVIGATION
|
||||
- Navigate only to a **client-side (non-enterprise)** login page within the provided domain.
|
||||
- Do NOT rely on external tools, search engines, or links not directly found on the site.
|
||||
- If a consent popup (e.g. for privacy/cookies) appears, you MUST dismiss or close it before proceeding.
|
||||
- Since step 0 confirmed access, assume the page now loads properly.
|
||||
|
||||
2. SSO BUTTON IDENTIFICATION
|
||||
- On the login page, look for the following social login (SSO) buttons:
|
||||
- Google, GitHub, Facebook, LinkedIn, Microsoft, Naver, Slack, Etc.
|
||||
- ✅ Proceed only if it is clearly an **actual SSO button**.
|
||||
- ❌ Exclude the following:
|
||||
- Passkey-related buttons
|
||||
- Username/password fields
|
||||
- Email-based login
|
||||
- Non-OAuth methods such as certificate or phone verification
|
||||
|
||||
3. RETURN FORMAT
|
||||
- If the login page is successfully found, return:
|
||||
```json
|
||||
{
|
||||
"msg": "Login page found",
|
||||
"url": "https://example.com/login",
|
||||
"sso_list": ["Google", "GitHub"]
|
||||
}
|
||||
```
|
||||
- If the login page cannot be found, return:
|
||||
```json
|
||||
{
|
||||
"msg": "Login page not found",
|
||||
"url": "",
|
||||
"sso_list": []
|
||||
}
|
||||
```
|
||||
- If blocked (as in step 0), return:
|
||||
```json
|
||||
{
|
||||
"msg": "Blocked",
|
||||
"url": "",
|
||||
"sso_list": []
|
||||
}
|
||||
```
|
||||
- Return ONLY the JSON object. Do NOT include any explanation, logging, or extra output.
|
||||
"""
|
||||
2
src/lib/llm/prompt/google/__init__.py
Normal file
2
src/lib/llm/prompt/google/__init__.py
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
from lib.llm.prompt.google.prompt import prompt
|
||||
from lib.llm.prompt.google.model import model
|
||||
6
src/lib/llm/prompt/google/model.py
Normal file
6
src/lib/llm/prompt/google/model.py
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
from pydantic import BaseModel
|
||||
|
||||
class model(BaseModel):
|
||||
msg: str | None = None
|
||||
status: str | None = None # "success", "mfa_required", "google_blocked", "sso_not_found", "login_page_not_found", "invalid_credentials"
|
||||
final_url: str | None = None
|
||||
58
src/lib/llm/prompt/google/prompt.py
Normal file
58
src/lib/llm/prompt/google/prompt.py
Normal file
|
|
@ -0,0 +1,58 @@
|
|||
import os
|
||||
|
||||
# Extended planner prompt
|
||||
prompt = f"""
|
||||
You are a web automation agent.
|
||||
|
||||
Your task is to visit the given domain and perform a full login via the **Google SSO button**, following all steps strictly as described below.
|
||||
|
||||
▶ Target: Find a login page inside this domain that allows "Sign in with Google", and use it to complete login via Google.
|
||||
|
||||
Instructions:
|
||||
|
||||
1. If any cookie or privacy popups appear, dismiss or accept them.
|
||||
2. Navigate through the site's UI to find the **login or sign-in page** (e.g., via buttons like "Log In", "Sign In", "Get Started").
|
||||
- Only follow links within the same domain.
|
||||
3. On the login page, look for a clearly labeled **Google SSO button** — typically labeled as:
|
||||
- "Continue with Google"
|
||||
- "Sign in with Google"
|
||||
- or a button with the Google 'G' icon
|
||||
4. Click the **Google login button**.
|
||||
- ⚠️ The Google login flow MUST open in a **new browser tab** (not a new window or popup).
|
||||
- ❌ If the login opens in a new **window** or **popup**, do NOT continue. Immediately stop and return the appropriate status.
|
||||
5. Check if the user is **already logged in to Google and immediately redirected back to the original site** without showing a Google login screen.
|
||||
- ✅ If so, treat the login as successful and return immediately.
|
||||
6. If redirected to the Google login page:
|
||||
- If a **CAPTCHA**, **MFA prompt**, or a request for **ID/password entry** appears, do NOT proceed.
|
||||
- Immediately stop and return the appropriate status.
|
||||
7. If login proceeds without interruptions, wait for redirection back to the original site and record the final URL.
|
||||
|
||||
Credentials to use for Google login:
|
||||
- Email: {os.getenv("GOOGLE_EMAIL", "")}
|
||||
- Password: {os.getenv("GOOGLE_PASSWORD", "")}
|
||||
|
||||
Constraints:
|
||||
- Do NOT use search engines or guess URLs.
|
||||
- Do NOT use autofill, saved sessions, or cookies.
|
||||
- Do NOT proceed with login if:
|
||||
- The login opens in a new window (only tabs are allowed)
|
||||
- CAPTCHA or MFA appears
|
||||
- ID/password input is required
|
||||
- If the user is already logged in to Google and redirected back automatically, stop there and report success.
|
||||
- If the login page cannot be found, return "login_page_not_found".
|
||||
- If the Google login button is not found, return "sso_not_found".
|
||||
- If a page such as a sign-up page appears, consider it a successful login and terminate immediately.
|
||||
|
||||
Final Output:
|
||||
Return the result in the following format only:
|
||||
|
||||
```json
|
||||
{{
|
||||
"msg": "Google login completed",
|
||||
"status": "success" | "already_logged_in" | "mfa_required" | "captcha_triggered" | "window_blocked" | "idpw_required" | "google_blocked" | "sso_not_found" | "login_page_not_found",
|
||||
"final_url": "<url_after_login_redirect or empty string>"
|
||||
}}
|
||||
```
|
||||
|
||||
- Return ONLY the JSON object. Do NOT include any explanation, logging, or extra output.
|
||||
"""
|
||||
374
uv.lock
generated
374
uv.lock
generated
|
|
@ -22,7 +22,7 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "anthropic"
|
||||
version = "0.53.0"
|
||||
version = "0.55.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
|
|
@ -33,9 +33,9 @@ dependencies = [
|
|||
{ name = "sniffio" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c1/f6/a78ff9e23981fde136c3ae5427a39b27df92ebe5e5997c6203796449f1e5/anthropic-0.53.0.tar.gz", hash = "sha256:f5d1499fc45b2e05801fcbbeae25679f72f7479763e3c706126a7a7c8de06eff", size = 307716, upload-time = "2025-06-09T16:20:31.689Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a4/19/e2e09bc7fc0c4562ae865b3e5d487931c254c517e1c739b0c8aef2cf3186/anthropic-0.55.0.tar.gz", hash = "sha256:61826efa1bda0e4c7dc6f6a0d82b7d99b3fda970cd048d40ef5fca08a5eabd33", size = 408192, upload-time = "2025-06-23T18:52:26.27Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a9/3f/82c21f74afa3541d69d20b8265c7fdfd078a687e9eea48fda30f1838d0b7/anthropic-0.53.0-py3-none-any.whl", hash = "sha256:b3a84751885a81d96bbddef180c3ce559c9140f7f230cdd825385405bd6d312e", size = 287248, upload-time = "2025-06-09T16:20:29.98Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b3/8f/ba982f539db40f49a610f61562e9b54fb9c85e7b9ede9a46ff6f9e79042f/anthropic-0.55.0-py3-none-any.whl", hash = "sha256:3518433fc0372a13f2b793b4cabecc7734ec9176e063a0f28dac19aa17c57f94", size = 289318, upload-time = "2025-06-23T18:52:24.478Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -96,24 +96,21 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "browser-use"
|
||||
version = "0.3.2"
|
||||
version = "0.3.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiofiles" },
|
||||
{ name = "anthropic" },
|
||||
{ name = "anyio" },
|
||||
{ name = "authlib" },
|
||||
{ name = "bubus" },
|
||||
{ name = "google-api-core" },
|
||||
{ name = "google-genai" },
|
||||
{ name = "groq" },
|
||||
{ name = "httpx" },
|
||||
{ name = "langchain" },
|
||||
{ name = "langchain-anthropic" },
|
||||
{ name = "langchain-core" },
|
||||
{ name = "langchain-deepseek" },
|
||||
{ name = "langchain-google-genai" },
|
||||
{ name = "langchain-ollama" },
|
||||
{ name = "langchain-openai" },
|
||||
{ name = "markdownify" },
|
||||
{ name = "mem0ai" },
|
||||
{ name = "openai" },
|
||||
{ name = "patchright" },
|
||||
{ name = "playwright" },
|
||||
{ name = "posthog" },
|
||||
|
|
@ -127,9 +124,9 @@ dependencies = [
|
|||
{ name = "typing-extensions" },
|
||||
{ name = "uuid7" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/4a/9b/b0620dea406c878923b38dab4c9391d822a854a7053ec3ba2c831a8f8da1/browser_use-0.3.2.tar.gz", hash = "sha256:600881d087ef246d10505aa133cc18f7ac2f3f8ddcb6210c00a8cabf0a4b9aa1", size = 175299, upload-time = "2025-06-22T05:26:20.979Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e4/c5/72bd1ae6c02dd08e71fe48dd552698c788f6bfcfda338da954441cd34d28/browser_use-0.3.3.tar.gz", hash = "sha256:561dddbfb0ae7e9dcfa0b78c6c0942b2a1e072727fd2aa01da2318fff231acc1", size = 191364, upload-time = "2025-06-26T10:36:09.873Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/93/04/0446df95b031362fbbbd20e4b389d4dee98f27d2c40ed38d792842bcc807/browser_use-0.3.2-py3-none-any.whl", hash = "sha256:500340bd3d41440072d9845c640b0cb5decfacc423459ab7a28ce9273b1b1601", size = 195490, upload-time = "2025-06-22T05:26:19.545Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/34/41/ab0d595ce718637a6db4596c30a3bf320f49a5f45b537e2652977240b1de/browser_use-0.3.3-py3-none-any.whl", hash = "sha256:00ff31fac0fa4a3f50289babd18947f45f009c775e620da5d60511fed94907d7", size = 222072, upload-time = "2025-06-26T10:36:08.362Z" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
|
|
@ -151,7 +148,7 @@ dependencies = [
|
|||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "browser-use", extras = ["memory"], specifier = "==0.3.2" },
|
||||
{ name = "browser-use", extras = ["memory"], specifier = "==0.3.3" },
|
||||
{ name = "chardet", specifier = ">=5.2.0" },
|
||||
{ name = "lmnr", extras = ["all"], specifier = ">=0.6.10" },
|
||||
{ name = "patchright", specifier = ">=1.52.5" },
|
||||
|
|
@ -159,7 +156,7 @@ requires-dist = [
|
|||
|
||||
[[package]]
|
||||
name = "bubus"
|
||||
version = "1.1.2"
|
||||
version = "1.2.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiofiles" },
|
||||
|
|
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Loading…
Reference in a new issue