添加 LangGraph 示例

pyproject.toml

@@ -18,6 +18,7 @@ dependencies = [
     "drissionpage>=4.1.1.2",
     "flower>=2.0.1",
     "httpx>=0.28.1",
+    "langchain>=0.3.27",
     "llama-index>=0.12.42",
     "llama-index-llms-litellm>=0.5.1",
     "llama-index-program-guidance>=0.3.0",

src/browser/crawl_base.py

@@ -170,7 +170,7 @@ class AbstractCrawlerBase(ABC):
 
 
 class CrawlerBase(AbstractCrawlerBase):
-    def __init__(self, chrome_options:ChromeOptions):
+    def __init__(self, chrome_options:ChromiumOptions):
         super().__init__()
         self.chrome_options = chrome_options
         self._initialize_page()

tests/flow_run/t_flow_run_extra_product.py

@@ -12,9 +12,7 @@ logger = get_logger('flow_run_test')
 
 # 测试URL列表
 test_urls = [
-r"G:\xwechat_files\wxid_1fmirgx3vudo21_b3e8\msg\file\2025-10\手指粉扑.xlsx",
-r"G:\xwechat_files\wxid_1fmirgx3vudo21_b3e8\msg\file\2025-10\压缩毛巾.xlsx",
-r"G:\xwechat_files\wxid_1fmirgx3vudo21_b3e8\msg\file\2025-10\折叠剪刀橙色.xlsx"
+r"G:\xwechat_files\wxid_ik4x85ws0kno22_cad7\msg\file\2025-10\狗牙刷手柄款.xlsx",
 ]
 
 

tests/mytest/t_pandas_excel_reader.py

@@ -52,9 +52,7 @@ def test_local_excel_files():
     """
     # 指定的Excel文件列表
     excel_files = [
-r"G:\code\amazone\copywriting_production\output\generated_excels\extra-data-手指粉扑.xlsx",
-r"G:\code\amazone\copywriting_production\output\generated_excels\extra-data-压缩毛巾.xlsx", 
-r"G:\code\amazone\copywriting_production\output\generated_excels\extra-data-便携折叠剪刀.xlsx"    
+r"G:\code\amazone\copywriting_production\output\generated_excels\extra-data-大型犬牙刷手柄款.xlsx"
 ]
     
     for file_path in excel_files:
@@ -100,6 +98,8 @@ r"G:\code\amazone\copywriting_production\output\generated_excels\extra-data-便
         
         if excel_data:
             print("Excel 文件读取成功！")
+            print("md 所在目录： G:\code\amazone\copywriting_production\output\generated_excels ")
+            print("提示词所在目录： G:\code\amazone\copywriting_production\output\resource")
             
             # 提取所有单元格内容（包括空值）
             all_cells_text = get_all_cells_text(excel_data)

utils/drission_page.py

@@ -2,10 +2,50 @@ import os
 import random
 import time
 from typing import Optional
+from pydantic import BaseModel
+
 from DrissionPage import Chromium, ChromiumOptions, ChromiumPage
 from pathlib import Path
 from .logu import logger
 from DrissionPage._elements.chromium_element import ChromiumElement
+from config.settings import OUTPUT_DIR, WORK_DIR, BROWSER_CONFIG_DIR
+
+class ChromeOptions(BaseModel):
+    ini_path: Optional[str] = BROWSER_CONFIG_DIR / '9321.ini'
+    browser_path: Optional[str] = None
+    user_data_dir: Optional[str] = None
+    address: Optional[str] = None
+    headless: Optional[bool] = False
+    proxy: Optional[str] = None
+    no_imgs: Optional[bool] = False
+    auto_port: Optional[bool] = False
+    save: Optional[bool] = False
+
+def load_chrome_from_ini(options:ChromeOptions):
+    chrome_options = ChromiumOptions(ini_path=options.ini_path)
+    if options.browser_path:
+        chrome_options.set_browser_path(options.browser_path)
+    if options.proxy:
+        chrome_options.set_proxy(options.proxy)
+    if options.user_data_dir:
+        chrome_options.set_user_data_path(options.user_data_dir)
+    # 如果存在代理环境变量
+    elif 'HTTP_PROXY' in os.environ:
+        chrome_options.set_proxy(os.environ['HTTP_PROXY'])
+    if options.auto_port:
+        chrome_options.auto_port(options.auto_port)
+    if options.no_imgs:
+        chrome_options.no_imgs(options.no_imgs)
+    if options.address:
+        chrome_options.headless(options.headless)
+    if options.address:
+        chrome_options.set_address(options.address)
+    if options.save:
+        chrome_options.save(options.ini_path)
+    logger.info(f"proxy {options.proxy}")
+    page = ChromiumPage(chrome_options)
+    return page
+
 def create_browser(address='127.0.0.1:16800', user_data_dir='', browser_path=''):
 
     chrome_options = ChromiumOptions(read_file=False)

utils/llm.py

@@ -0,0 +1,23 @@
+import os
+from dotenv import load_dotenv
+load_dotenv()
+from langchain.chat_models import init_chat_model
+from langchain_community.cache import SQLiteCache
+# from langchain.globals import set_llm_cache
+# set_llm_cache(SQLiteCache(database_path="output/.langchain.db"))
+
+def get_llm_model(model_name: str = 'GLM-4.5-AirX', model_provider="openai"):
+    """初始化LangGraph支持的LLM模型"""
+    try:
+        model = init_chat_model(
+            model=model_name,
+            model_provider=model_provider,
+            base_url=os.getenv("LITELLM_API_BASE"),
+            api_key=os.getenv("LITELLM_API_KEY"),
+            temperature=0.1,
+            # response_format={"type": "json_object"}
+        )
+        return model
+    except Exception as e:
+        print(f"❌ 模型初始化失败: {e}")
+        return None

uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.13"
 resolution-markers = [
     "sys_platform == 'darwin'",
@@ -505,6 +505,7 @@ dependencies = [
     { name = "drissionpage" },
     { name = "flower" },
     { name = "httpx" },
+    { name = "langchain" },
     { name = "llama-index" },
     { name = "llama-index-llms-litellm" },
     { name = "llama-index-program-guidance" },
@@ -533,6 +534,7 @@ requires-dist = [
     { name = "drissionpage", specifier = ">=4.1.1.2" },
     { name = "flower", specifier = ">=2.0.1" },
     { name = "httpx", specifier = ">=0.28.1" },
+    { name = "langchain", specifier = ">=0.3.27" },
     { name = "llama-index", specifier = ">=0.12.42" },
     { name = "llama-index-llms-litellm", specifier = ">=0.5.1" },
     { name = "llama-index-program-guidance", specifier = ">=0.3.0" },
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 ]
 
+[[package]]
+name = "langchain"
+version = "0.3.27"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "langchain-core" },
+    { name = "langchain-text-splitters" },
+    { name = "langsmith" },
+    { name = "pydantic" },
+    { name = "pyyaml" },
+    { name = "requests" },
+    { name = "sqlalchemy" },
+]
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+]
+
+[[package]]
+name = "langchain-core"
+version = "0.3.77"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jsonpatch" },
+    { name = "langsmith" },
+    { name = "packaging" },
+    { name = "pydantic" },
+    { name = "pyyaml" },
+    { name = "tenacity" },
+    { name = "typing-extensions" },
+]
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+[[package]]
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+version = "0.3.11"
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+    { name = "orjson", marker = "platform_python_implementation != 'PyPy'" },
+    { name = "packaging" },
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