feat: Initialize wxauto WeChat automation project with job extraction tools

- Add wxauto package with WeChat UI automation and message handling capabilities
- Implement job_extractor.py for automated job posting extraction from WeChat groups
- Add job_extractor_gui.py providing graphical interface for job extraction tool
- Create comprehensive documentation in Chinese covering GUI usage, multi-group support, and quick start guides
- Add build configuration files (build_exe.py, build_exe.spec) for packaging as standalone executable
- Include utility scripts for WeChat interaction (auto_send_msg.py, get_history.py, receive_file_transfer.py)
- Add project configuration files (pyproject.toml, setup.cfg, requirements.txt)
- Include test files (test_api.py, test_com_fix.py) for API and compatibility validation
- Add Apache 2.0 LICENSE and comprehensive README documentation
- Configure .gitignore to exclude build artifacts, logs, and temporary files

test_api.py

@@ -0,0 +1,141 @@
+# -*- coding: utf-8 -*-
+"""
+测试百炼API连接和岗位信息提取功能
+"""
+import json
+import requests
+
+# API配置
+BAILIAN_API_URL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"
+API_KEY = "sk-46cb053d75eb4ad88713917ba0f1c81a"
+
+# 测试消息样例
+TEST_MESSAGES = [
+    """
+    【招聘】Python后端开发工程师
+    公司：北京某互联网科技有限公司
+    地点：北京市海淀区中关村
+    薪资：20K-35K
+    岗位职责：
+    1. 负责公司核心业务系统的后端开发
+    2. 参与系统架构设计和优化
+    要求：3年以上Python开发经验，熟悉Django/Flask
+    联系人：李经理
+    微信：tech_hr_2024
+    """,
+    
+    """
+    急招前端开发！！！
+    坐标：上海浦东
+    月薪：15-25k
+    我们公司是做电商的，需要熟悉Vue3和React的前端
+    有意者联系张总 18612345678
+    """,
+    
+    """
+    今天天气真好，大家周末愉快！
+    """
+]
+
+
+def test_extract(message_content):
+    """测试提取功能"""
+    print("=" * 80)
+    print("测试消息:")
+    print(message_content.strip())
+    print("-" * 80)
+    
+    prompt = f"""请从以下消息中提取招聘岗位信息，并以JSON格式返回。如果消息不包含招聘信息，返回空对象。
+
+要提取的字段：
+- job_name: 工作名称
+- job_description: 工作描述
+- job_location: 工作地点
+- salary_min: 月薪最低（数字，单位：元）
+- salary_max: 月薪最高（数字，单位：元）
+- company_name: 公司名称
+- contact_person: 联系人
+- contact_info: 联系方式（电话/微信等）
+
+消息内容：
+{message_content}
+
+请直接返回JSON格式，不要包含其他说明文字。"""
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {API_KEY}"
+    }
+    
+    payload = {
+        "model": "qwen-plus",
+        "input": {
+            "messages": [
+                {
+                    "role": "system",
+                    "content": "你是一个专业的招聘信息提取助手，擅长从文本中提取结构化的岗位信息。"
+                },
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ]
+        },
+        "parameters": {
+            "result_format": "message"
+        }
+    }
+    
+    try:
+        print("正在调用API...")
+        response = requests.post(BAILIAN_API_URL, headers=headers, json=payload, timeout=30)
+        response.raise_for_status()
+        result = response.json()
+        
+        if "output" in result and "choices" in result["output"]:
+            content = result["output"]["choices"][0]["message"]["content"]
+            print("API返回:")
+            print(content)
+            print("-" * 80)
+            
+            # 尝试解析JSON
+            try:
+                job_data = json.loads(content)
+                if job_data and any(job_data.values()):
+                    print("✓ 提取成功:")
+                    print(json.dumps(job_data, ensure_ascii=False, indent=2))
+                else:
+                    print("× 未提取到有效岗位信息")
+            except json.JSONDecodeError:
+                print(f"× JSON解析失败")
+        else:
+            print(f"× API返回格式异常: {result}")
+            
+    except requests.exceptions.RequestException as e:
+        print(f"× API请求失败: {e}")
+    except Exception as e:
+        print(f"× 发生错误: {e}")
+    
+    print()
+
+
+def main():
+    print("百炼API岗位信息提取测试")
+    print("=" * 80)
+    print(f"API地址: {BAILIAN_API_URL}")
+    print(f"API密钥: {API_KEY[:20]}...")
+    print()
+    
+    for i, msg in enumerate(TEST_MESSAGES, 1):
+        print(f"\n测试用例 {i}/{len(TEST_MESSAGES)}")
+        test_extract(msg)
+        
+        if i < len(TEST_MESSAGES):
+            input("按回车继续下一个测试...")
+    
+    print("=" * 80)
+    print("测试完成")
+
+
+if __name__ == "__main__":
+    main()