#!/usr/bin/env python3
"""
模拟前端调用API
验证清理后的API对用户友好
"""

import sys
import os
import json

sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))

def simulate_frontend_call():
    """模拟前端API调用"""
    print("🌐 模拟前端API调用")
    print("=" * 60)

    try:
        from api.models import SearchRequest

        print("📱 前端发送搜索请求...")

        # 模拟前端发送的请求（简洁明了）
        frontend_request_data = {
            "query": "芭比娃娃",
            "size": 10,
            "from_": 0,
            "filters": {
                "categoryName": "玩具"
            }
        }

        print(f"📤 请求数据:")
        print(json.dumps(frontend_request_data, indent=2, ensure_ascii=False))

        # 创建API请求对象
        search_request = SearchRequest(**frontend_request_data)

        print(f"\n✅ API请求创建成功!")
        print(f"  - 查询: '{search_request.query}'")
        print(f"  - 大小: {search_request.size}")
        print(f"  - 偏移: {search_request.from_}")
        print(f"  - 过滤器: {search_request.filters}")

        # 验证请求不包含内部参数
        internal_params = ['enable_translation', 'enable_embedding', 'enable_rerank']
        print(f"\n🔒 内部参数检查:")
        for param in internal_params:
            if hasattr(search_request, param):
                print(f"  ❌ {param}: 仍然暴露给用户")
                return False
            else:
                print(f"  ✅ {param}: 对用户透明")

        print(f"\n🎉 前端调用验证成功!")
        print(f"✅ API接口简洁明了")
        print(f"✅ 用户只需提供基本搜索参数")
        print(f"✅ 复杂功能对用户完全透明")
        print(f"✅ 后端自动处理翻译、向量搜索等功能")

        # 模拟响应结构
        print(f"\n📤 后端响应示例:")
        response_example = {
            "hits": [],
            "total": 0,
            "max_score": 0.0,
            "took_ms": 45,
            "aggregations": {},
            "query_info": {
                "original_query": "芭比娃娃",
                "rewritten_query": "brand:芭比 OR name:芭比娃娃娃娃",
                "detected_language": "zh",
                "translations": {
                    "en": "Barbie doll",
                    "ru": "кукла Барби"
                }
            },
            "performance_info": {
                "request_info": {
                    "reqid": "abc123",
                    "has_error": False,
                    "warnings_count": 0
                },
                "performance": {
                    "total_duration_ms": 45.0,
                    "stage_timings_ms": {
                        "query_parsing": 25.0,
                        "boolean_parsing": 1.0,
                        "query_building": 2.0,
                        "elasticsearch_search": 10.0,
                        "result_processing": 1.0
                    }
                }
            }
        }

        print(json.dumps(response_example, indent=2, ensure_ascii=False))

        return True

    except Exception as e:
        print(f"❌ 模拟失败: {e}")
        import traceback
        traceback.print_exc()
        return False

def show_api_comparison():
    """显示清理前后的API对比"""
    print(f"\n📊 API接口对比:")
    print("=" * 60)

    print(f"❌ 清理前（暴露内部参数）:")
    print(json.dumps({
        "query": "芭比娃娃",
        "size": 10,
        "from_": 0,
        "enable_translation": True,    # ❌ 用户不需要关心
        "enable_embedding": True,      # ❌ 用户不需要关心
        "enable_rerank": True,         # ❌ 用户不需要关心
        "min_score": None
    }, indent=2, ensure_ascii=False))

    print(f"\n✅ 清理后（用户友好）:")
    print(json.dumps({
        "query": "芭比娃娃",
        "size": 10,
        "from_": 0,
        "filters": {"categoryName": "玩具"},
        "min_score": None
    }, indent=2, ensure_ascii=False))

if __name__ == "__main__":
    success = simulate_frontend_call()
    show_api_comparison()

    if success:
        print(f"\n🎊 API清理完全成功！")
        print(f"🌟 现在的API对用户非常友好！")
    else:
        print(f"\n💥 还有问题需要解决")

    sys.exit(0 if success else 1)