Merge pull request #22 from j93es/feat/refect

Breaking Changes: 코드 전체 리팩토링

README.md

@@ -116,23 +116,30 @@ uv run run.py 1 100 --skh
 
 ## 1. 파일 생성
 
-`lib/llm/prompt` 폴더로
+`lib/llm/prompt` 폴더에서 fallback 폴더를 복사하여
 
-![](./docs/list.png)
+원하는 프로바이더를 추가해줍니다. `ex) lib/llm/prompt/Google/`
 
-fallback.py를 복사하여
+## 2. prompt.py 수정
 
-원하는 프로바이더를 추가해줍니다. `ex) lib/llm/prompt/Google.py`
+Prompt에서 추가한 파일을 prompt.py에서 수정합니다.
 
-## 2. __init__.py 수정
+만약 로그인 정보를 넣고 싶다면 Sensitive
+`Log into example.com as user x_username with password x_password`
 
-![](./docs/guide.png)
+## 3. model.py
 
-Prompt에서 추가한 파일을 __init__.py에서 import합니다.
+응답할 때 원하는 리턴 값을 `dict`로 받습니다.
 
-## 3. 파일 수정
+## 4. \_\_init\_\_.py 수정
+![alt text](./docs/guide_0.png)
 
-생성한 파일에서 프롬프트를 수정합니다.
+추가한 prompt에 따라 import합니다.
+
+## 5. 사용 방법
+```py
+from lib.llm.prompt.fallback import prompt, model
+```
 
 # 참고하면 좋을만한 것
 

pyproject.toml

@@ -5,7 +5,7 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
-    "browser-use[memory]==0.3.2",
+    "browser-use[memory]==0.3.3",
     "chardet>=5.2.0",
     "lmnr[all]>=0.6.10",
     "patchright>=1.52.5",

src/lib/browser_use/agents.py

@@ -14,8 +14,7 @@ from lib.utils import (
     logger,
     config,
 )
-from lib.llm import CreateChatGoogleGenerativeAI, get_prompt
+from lib.llm import CreateChatGoogle, get_prompt
-import lib.browser_use.model as model
 
 # Exponential backoff settings
 INITIAL_BACKOFF = int(os.getenv("INITIAL_BACKOFF", "60"))  # seconds
@@ -77,6 +76,7 @@ async def extract_oauth_list(url: str):
     """첫 번째 Agent: 로그인 페이지를 찾고 OAuth 리스트만 추출"""
     target_url = url if url.startswith("http") else f"https://{url}"
     print(f"🔎 OAuth 리스트 추출 시작: {target_url}")
+    prompt, model = get_prompt("auth")
 
     agent_config = {
         "url": target_url,
@@ -90,17 +90,17 @@ async def extract_oauth_list(url: str):
                 "Just find and list all available OAuth providers with their button texts or provider names. "
                 "Return a list of OAuth providers found on the login page."
             ),
-            "llm": CreateChatGoogleGenerativeAI(config.GOOGLE_MODEL),
+            "llm": CreateChatGoogle(config.GOOGLE_MODEL),
             "planner_llm": (
-                CreateChatGoogleGenerativeAI(config.GOOGLE_PLANNER_MODEL)
+                CreateChatGoogle(config.GOOGLE_PLANNER_MODEL)
                 if config.GOOGLE_PLANNER_MODEL
                 else None
             ),
             "controller": Controller(
-                output_model=model.OAuthList,
+                output_model=model if not isinstance(model, str) else None,
                 exclude_actions=["search_google", "unknown_action", "unkown"],
             ),
-            "extend_planner_system_message": get_prompt("auth"),
+            "extend_planner_system_message": prompt,
         }
     }
 
@@ -116,8 +116,14 @@ async def extract_oauth_list(url: str):
 
     try:
         data = json.loads(final_result)
-        oauth_providers = data.get("oauth_providers", [])
+        print(final_result)
-        return [model.OAuth(provider=provider) for provider in oauth_providers]
+        oauth_providers = data.get("sso_list", [])
+        if not oauth_providers:
+            print("❌ OAuth 제공자가 없습니다.")
+            logger(f"❌ {url} - OAuth 제공자 없음: {final_result}")
+            return []
+        print(f"✅ OAuth 제공자 추출 완료: {oauth_providers}")
+        return oauth_providers
     except (json.JSONDecodeError, KeyError) as e:
         print(f"❌ 결과 파싱 실패: {e}")
         logger(f"❌ {url} 결과 파싱 실패: {final_result}")
@@ -129,6 +135,8 @@ async def test_oauth_login(url: str, oauth_provider: str):
     target_url = url if url.startswith("http") else f"https://{url}"
     print(f"🔐 {oauth_provider} 로그인 시작: {target_url}")
 
+    prompt, model = get_prompt(oauth_provider)
+
     agent_config = {
         "url": target_url,
         "log_context": f"{oauth_provider} 로그인",
@@ -142,16 +150,17 @@ async def test_oauth_login(url: str, oauth_provider: str):
                 f"If login fails or encounters errors, report the issue. "
                 f"Focus only on {oauth_provider} - ignore other OAuth providers."
             ),
-            "llm": CreateChatGoogleGenerativeAI(config.GOOGLE_MODEL),
+            "llm": CreateChatGoogle(config.GOOGLE_MODEL),
             "planner_llm": (
-                CreateChatGoogleGenerativeAI(config.GOOGLE_PLANNER_MODEL)
+                CreateChatGoogle(config.GOOGLE_PLANNER_MODEL)
                 if config.GOOGLE_PLANNER_MODEL and os.getenv("ENABLE_PLANNER_MODEL_OAUTH_LOGIN")
                 else None
             ),
             "controller": Controller(
+                output_model=model if not isinstance(model, str) else None,
                 exclude_actions=["search_google", "unknown_action", "unkown"],
             ),
-            "extend_planner_system_message": get_prompt(oauth_provider),
+            "extend_planner_system_message": prompt,
         }
     }
 

src/lib/browser_use/scanner.py

@@ -30,7 +30,7 @@ async def scan_one_url(url: str, skip_html_check: bool = False):
     print(f"🔗 스캔 URL: {url}")
     print(f"🔐 발견된 OAuth 제공자들: {len(oauth_entries)}개")
     for entry in oauth_entries:
-        print(f"  - {entry.provider}")
+        print(f"  - {entry}")
     print("-" * 50)
 
     # CSV에 OAuth 리스트 저장
@@ -41,12 +41,12 @@ async def scan_one_url(url: str, skip_html_check: bool = False):
         if not file_exists:
             writer.writerow(["issuer", "provider", "oauth_uri", "login_tested"])
         for entry in oauth_entries:
-            writer.writerow([url, entry.provider, "", "pending"])
+            writer.writerow([url, entry, "", "pending"])
 
     # 2단계: 각 OAuth 제공자별로 개별 로그인 시도
     for i, oauth_entry in enumerate(oauth_entries):
         print(
-            f"\n🔄 OAuth 로그인 테스트 {i+1}/{len(oauth_entries)}: {oauth_entry.provider}"
+            f"\n🔄 OAuth 로그인 테스트 {i+1}/{len(oauth_entries)}: {oauth_entry}"
         )
 
         # OAuth 간 대기 시간
@@ -55,11 +55,11 @@ async def scan_one_url(url: str, skip_html_check: bool = False):
             await asyncio.sleep(30)
 
         # 개별 OAuth 로그인 시도
-        success = await test_oauth_login(url, oauth_entry.provider)
+        success = await test_oauth_login(url, oauth_entry)
 
         # 결과를 CSV에 업데이트 (간단하게 로그만 남김)
         status = "success" if success else "failed"
-        print(f"📝 {oauth_entry.provider} 로그인 결과: {status}")
+        print(f"📝 {oauth_entry} 로그인 결과: {status}")
 
 
 async def main_loop(

src/lib/llm/create.py

@@ -1,25 +1,18 @@
-from langchain.callbacks.base import BaseCallbackHandler
+from browser_use.llm import ChatGoogle
-from langchain_google_genai import ChatGoogleGenerativeAI
+from dotenv import load_dotenv
 
-class QuotaExhaustedHandler(BaseCallbackHandler):
+# 환경 변수 로드 (GOOGLE_API_KEY 필요)
-    def on_llm_error(self, error, **kwargs):
+load_dotenv(override=True)
-        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):
+def CreateChatGoogle(model: str):
-    """재시도 로직이 포함된 LLM 생성"""
+    """Browser Use용 Google 모델 생성"""
     if model == "fallback":
-        print("⚠️ Fallback 모델을 사용합니다. Envorinment 변수를 확인하세요.")
+        print("⚠️ Fallback 모델을 사용합니다. Environment 변수를 확인하세요.")
-        print("⚠️ Model Gemini-2.0-flash-lite를 사용합니다.")
+        print("⚠️ Model gemini-2.0-flash-lite를 사용합니다.")
         model = "gemini-2.0-flash-lite"
-    return ChatGoogleGenerativeAI(
+    
+    return ChatGoogle(
         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=0.0,
-    )
+        # Browser Use는 내부적으로 재시도 로직을 처리합니다
+    )

src/lib/llm/prompt/__init__.py

@@ -1,18 +1,21 @@
-# why this is isn't index
+from typing import Union, Type
-# 이 파일을 __init__.py로 만든 이유는
+from pydantic import BaseModel
-# 굳이 이 짧은 코드를 파일을 하나 더 만드는게 코드의 가독성을 떨어뜨린다고 판단했기 때문입니다.
 
-def get_prompt(type:str) -> str:
+def get_prompt(type: str) -> tuple[str, Type[BaseModel]] | str:
     """
     Prompt를 반환합니다.
 
     :param type: 'auth' {Auth List} 또는 'google' {OAuth Provider}, 'meta' {OAuth Provider}을 지정합니다.
-    :return: 해당하는 프롬프트 문자열
+    :return: 해당하는 프롬프트 문자열 또는 (프롬프트, 모델) 튜플
     """
     if type.lower() == "auth":
-        from lib.llm.prompt.auth_list import extract_oauth_list_prompt
+        from lib.llm.prompt.get_oauth import prompt, model
-        return extract_oauth_list_prompt
+        return prompt, model
+    
+    elif type.lower() in ["google", "google account"]:
+        from lib.llm.prompt.google import prompt, model
+        return prompt, model
 
     else:
-        from lib.llm.prompt.fallback import extend_planner_system_message
+        from lib.llm.prompt.fallback import model, prompt
-        return extend_planner_system_message
+        return prompt, model

src/lib/llm/prompt/auth_list.py

@@ -1,41 +0,0 @@
-# @file purpose: This file contains the prompt for extracting a list of OAuth providers from a web page.
-# OAuth 리스트 추출용 프롬프트 (클릭하지 않고 단순 식별만)
-extract_oauth_list_prompt = f"""
-🎯 목적: 주어진 초기 URL 내에서 **OAuth 로그인 Provider**를 찾아 아래 형식의 JSON으로 정리합니다.
-
-📌 작업 목표:
-- Google, GitHub, Discord, Facebook, Apple, Microsoft, Twitter, LinkedIn 등 **OAuth 인증을 사용하는 외부 로그인 링크**에서 Provider 이름만 모두 수집합니다.
-- 로그인 버튼, 링크 클릭 등을 통해 탐색을 진행할 수 있습니다.
-- **같은 provider가 여러 번 나와도 하나만 저장**합니다.
-
-🛑 제한 사항:
-- ❌ 로그인 입력창이나 이메일/비밀번호 입력 방식은 제외합니다.
-- ❌ 검색 엔진, 사이트 외부 탐색은 금지합니다.
-- ❌ URL 추측이나 직접 입력은 금지합니다.
-- ❌ OAuth가 없는 경우 빈 배열 `[]`로 반환합니다.
-- ❌ OAuth가 아닌 일반 로그인은 무시합니다.
-
-🔍 탐색 방법:
-1. 초기 URL에 접속하여 **클라이언트용 로그인 페이지**로 진입합니다.
-2. 페이지가 정상적으로 로드되었다고 가정합니다.
-3. 'Continue with X', 'Continue with Google'... 등의 버튼이나 링크를 식별합니다.
-
-
-🧾 출력 형식 (예시):
-
-```json
-{{
-  "oauth_providers": [
-    "Google",
-    "GitHub",
-    "Discord"
-  ]
-}}
-```
-
-📌 주의:
-    결과가 없는 경우 빈 배열 `[]`로 반환합니다.
-    정확한 provider 이름을 포함해 주세요.
-
-"""
-

src/lib/llm/prompt/fallback/__init__.py

@@ -0,0 +1,2 @@
+from lib.llm.prompt.fallback.prompt import prompt
+from lib.llm.prompt.fallback.model import model

src/lib/llm/prompt/fallback/model.py

@@ -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

src/lib/llm/prompt/fallback/prompt.py

@@ -1,5 +1,5 @@
 # Extended planner prompt
-extend_planner_system_message = f"""
+prompt = f"""
 🎯 목적: 웹 자동화를 위한 **SSO 로그인 리디렉션 URL 수집**
 
 📌 주의사항 (전제 조건)
@@ -96,6 +96,20 @@ chrome://settings/clearBrowserData에 들어가서 삭제해주세요.
 
 ---
 
+
+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)

src/lib/llm/prompt/get_oauth/__init__.py

@@ -0,0 +1,2 @@
+from lib.llm.prompt.get_oauth.prompt import prompt
+from lib.llm.prompt.get_oauth.model import model

src/lib/llm/prompt/get_oauth/model.py

@@ -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

src/lib/llm/prompt/get_oauth/prompt.py

@@ -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.
+"""

src/lib/llm/prompt/google/__init__.py

@@ -0,0 +1,2 @@
+from lib.llm.prompt.google.prompt import prompt
+from lib.llm.prompt.google.model import model

src/lib/llm/prompt/google/model.py

@@ -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

src/lib/llm/prompt/google/prompt.py

@@ -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.
+"""

uv.lock

@@ -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" }
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