Files
browser-use-web-ui/tests/test_browser_use.py
2025-01-08 19:23:23 +08:00

214 lines
6.7 KiB
Python

# -*- coding: utf-8 -*-
# @Time : 2025/1/2
# @Author : wenshao
# @ProjectName: browser-use-webui
# @FileName: test_browser_use.py
from dotenv import load_dotenv
load_dotenv()
import sys
sys.path.append(".")
import asyncio
import os
import sys
from pprint import pprint
from browser_use import Agent
from browser_use.agent.views import AgentHistoryList
from src.utils import utils
async def test_browser_use_org():
from browser_use.browser.browser import Browser, BrowserConfig
from browser_use.browser.context import (
BrowserContextConfig,
BrowserContextWindowSize,
)
llm = utils.get_llm_model(
provider="azure_openai",
model_name="gpt-4o",
temperature=0.8,
base_url=os.getenv("AZURE_OPENAI_ENDPOINT", ""),
api_key=os.getenv("AZURE_OPENAI_API_KEY", ""),
)
window_w, window_h = 1920, 1080
browser = Browser(
config=BrowserConfig(
headless=False,
disable_security=True,
extra_chromium_args=[f"--window-size={window_w},{window_h}"],
)
)
async with await browser.new_context(
config=BrowserContextConfig(
trace_path="./tmp/traces",
save_recording_path="./tmp/record_videos",
no_viewport=False,
browser_window_size=BrowserContextWindowSize(
width=window_w, height=window_h
),
)
) as browser_context:
agent = Agent(
task="go to google.com and type 'OpenAI' click search and give me the first url",
llm=llm,
browser_context=browser_context,
)
history: AgentHistoryList = await agent.run(max_steps=10)
print("Final Result:")
pprint(history.final_result(), indent=4)
print("\nErrors:")
pprint(history.errors(), indent=4)
# e.g. xPaths the model clicked on
print("\nModel Outputs:")
pprint(history.model_actions(), indent=4)
print("\nThoughts:")
pprint(history.model_thoughts(), indent=4)
# close browser
await browser.close()
async def test_browser_use_custom():
from browser_use.browser.context import BrowserContextWindowSize
from browser_use.browser.browser import BrowserConfig
from playwright.async_api import async_playwright
from src.agent.custom_agent import CustomAgent
from src.agent.custom_prompts import CustomSystemPrompt
from src.browser.custom_browser import CustomBrowser
from src.browser.custom_context import BrowserContextConfig
from src.controller.custom_controller import CustomController
window_w, window_h = 1920, 1080
# llm = utils.get_llm_model(
# provider="azure_openai",
# model_name="gpt-4o",
# temperature=0.8,
# base_url=os.getenv("AZURE_OPENAI_ENDPOINT", ""),
# api_key=os.getenv("AZURE_OPENAI_API_KEY", ""),
# )
llm = utils.get_llm_model(
provider="gemini",
model_name="gemini-2.0-flash-exp",
temperature=1.0,
api_key=os.getenv("GOOGLE_API_KEY", "")
)
# llm = utils.get_llm_model(
# provider="deepseek",
# model_name="deepseek-chat",
# temperature=0.8
# )
# llm = utils.get_llm_model(
# provider="ollama", model_name="qwen2.5:7b", temperature=0.8
# )
controller = CustomController()
use_own_browser = False
disable_security = True
use_vision = True # Set to False when using DeepSeek
tool_call_in_content = True # Set to True when using Ollama
max_actions_per_step = 1
playwright = None
browser_context_ = None
try:
if use_own_browser:
playwright = await async_playwright().start()
chrome_exe = os.getenv("CHROME_PATH", "")
chrome_use_data = os.getenv("CHROME_USER_DATA", "")
browser_context_ = await playwright.chromium.launch_persistent_context(
user_data_dir=chrome_use_data,
executable_path=chrome_exe,
no_viewport=False,
headless=False, # 保持浏览器窗口可见
user_agent=(
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
"(KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36"
),
java_script_enabled=True,
bypass_csp=disable_security,
ignore_https_errors=disable_security,
record_video_dir="./tmp/record_videos",
record_video_size={"width": window_w, "height": window_h},
)
else:
browser_context_ = None
browser = CustomBrowser(
config=BrowserConfig(
headless=False,
disable_security=True,
extra_chromium_args=[f"--window-size={window_w},{window_h}"],
)
)
async with await browser.new_context(
config=BrowserContextConfig(
trace_path="./tmp/result_processing",
save_recording_path="./tmp/record_videos",
no_viewport=False,
browser_window_size=BrowserContextWindowSize(
width=window_w, height=window_h
),
),
context=browser_context_,
) as browser_context:
agent = CustomAgent(
task="go to google.com and type 'OpenAI' click search and give me the first url",
add_infos="", # some hints for llm to complete the task
llm=llm,
browser_context=browser_context,
controller=controller,
system_prompt_class=CustomSystemPrompt,
use_vision=use_vision,
tool_call_in_content=tool_call_in_content,
max_actions_per_step=max_actions_per_step
)
history: AgentHistoryList = await agent.run(max_steps=10)
print("Final Result:")
pprint(history.final_result(), indent=4)
print("\nErrors:")
pprint(history.errors(), indent=4)
# e.g. xPaths the model clicked on
print("\nModel Outputs:")
pprint(history.model_actions(), indent=4)
print("\nThoughts:")
pprint(history.model_thoughts(), indent=4)
# close browser
except Exception:
import traceback
traceback.print_exc()
finally:
# 显式关闭持久化上下文
if browser_context_:
await browser_context_.close()
# 关闭 Playwright 对象
if playwright:
await playwright.stop()
await browser.close()
if __name__ == "__main__":
# asyncio.run(test_browser_use_org())
asyncio.run(test_browser_use_custom())