566 lines
18 KiB
Python
566 lines
18 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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V2 API 端到端测试
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模拟 Java 端调用 Python V2 接口的完整流程
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用于验证 Python 端改造完成后的功能正确性
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使用方法:
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# 启动服务后测试
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python tests/test_v2_api_e2e.py --server http://localhost:8000
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# 直接测试 (不启动服务)
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python tests/test_v2_api_e2e.py --direct
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"""
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import asyncio
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import json
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import argparse
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import sys
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from typing import Dict, Any, Optional
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from datetime import datetime
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# ========== 测试数据 (模拟 Java 端传入的完整对象) ==========
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SAMPLE_SCENIC_SPOT = {
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"id": 1,
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"name": "天津冒险湾",
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"description": "天津最大的水上乐园，拥有多种刺激水上项目和亲子设施，包括水上过山车、漂流河、儿童戏水区等",
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"address": "天津市滨海新区海滨大道",
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"location": "天津市",
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"traffic_info": "地铁9号线直达，自驾可走津滨高速",
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"highlights": ["水上过山车", "儿童戏水区", "漂流河", "海浪池"],
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"opening_hours": "09:00-18:00 (夏季延长至21:00)",
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"ticket_info": "成人票 199 元，儿童票 99 元",
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"tips": "建议自带泳衣，园区内也有售卖；建议避开周末高峰"
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}
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SAMPLE_PRODUCT = {
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"id": 10,
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"name": "家庭套票",
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"price": 299,
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"original_price": 399,
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"description": "含2大1小门票，赠送储物柜一个",
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"includes": ["2张成人票", "1张儿童票", "储物柜1个"],
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"valid_period": "2025-01-01 至 2025-03-31",
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"usage_rules": "需提前1天预约，入园当日有效"
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}
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SAMPLE_STYLE = {
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"id": "gonglue",
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"name": "攻略风"
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}
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SAMPLE_AUDIENCE = {
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"id": "qinzi",
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"name": "亲子向"
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}
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def print_section(title: str):
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"""打印分隔标题"""
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print("\n" + "=" * 60)
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print(f" {title}")
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print("=" * 60)
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def print_json(data: Any, title: str = None):
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"""格式化打印 JSON"""
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if title:
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print(f"\n{title}:")
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print(json.dumps(data, ensure_ascii=False, indent=2))
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# ========== 直接测试 (不启动服务) ==========
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async def test_direct_config_api():
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"""测试配置查询 API (直接调用)"""
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print_section("测试配置查询 API")
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from api.routers.aigc import get_styles, get_audiences, get_all_config
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# 测试风格列表
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print("\n1. 获取风格列表...")
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styles = await get_styles()
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print(f" ✅ 获取到 {styles['count']} 个风格:")
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for s in styles['styles']:
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print(f" {s['icon']} {s['id']}: {s['name']}")
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# 测试人群列表
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print("\n2. 获取人群列表...")
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audiences = await get_audiences()
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print(f" ✅ 获取到 {audiences['count']} 个人群:")
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for a in audiences['audiences']:
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print(f" {a['icon']} {a['id']}: {a['name']}")
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# 测试全部配置
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print("\n3. 获取全部配置...")
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all_config = await get_all_config()
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print(f" ✅ 风格: {all_config['styles_count']}, 人群: {all_config['audiences_count']}")
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return True
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async def test_direct_topic_generate():
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"""测试选题生成 (直接调用引擎)"""
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print_section("测试选题生成引擎")
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from domain.aigc import EngineRegistry
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from domain.aigc.shared import ComponentFactory
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# 初始化
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print("\n1. 初始化引擎...")
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registry = EngineRegistry()
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factory = ComponentFactory()
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# 创建共享组件 (使用 Mock LLM)
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components = factory.create_components()
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registry.set_shared_components(components)
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registry.auto_discover()
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# 获取引擎
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engine = registry.get('topic_generate')
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if not engine:
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print(" ❌ 引擎不存在")
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return False
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print(f" ✅ 引擎已加载: {engine.engine_name} v{engine.version}")
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# 构建请求参数 (模拟 Java 端传入)
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params = {
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"month": "2025-01",
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"num_topics": 3,
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"scenic_spot": SAMPLE_SCENIC_SPOT,
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"product": SAMPLE_PRODUCT,
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"style": SAMPLE_STYLE,
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"audience": SAMPLE_AUDIENCE,
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"prompt_version": "latest"
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}
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print("\n2. 请求参数:")
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print(f" 月份: {params['month']}")
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print(f" 数量: {params['num_topics']}")
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print(f" 景区: {params['scenic_spot']['name']}")
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print(f" 产品: {params['product']['name']}")
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print(f" 风格: {params['style']['name']}")
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print(f" 人群: {params['audience']['name']}")
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# 验证参数
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print("\n3. 验证参数...")
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valid, error = engine.validate_params(params)
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if not valid:
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print(f" ❌ 参数验证失败: {error}")
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return False
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print(" ✅ 参数验证通过")
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# 测试 Prompt 渲染
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print("\n4. 测试 Prompt 渲染...")
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from domain.prompt import PromptRegistry
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prompt_registry = PromptRegistry('prompts')
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context = {
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'num_topics': params['num_topics'],
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'month': params['month'],
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'scenic_spot': params['scenic_spot'],
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'product': params['product'],
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'style': params['style'],
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'audience': params['audience'],
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'styles_list': '',
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'audiences_list': '',
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}
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system_prompt, user_prompt = prompt_registry.render('topic_generate', context)
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print(f" System Prompt 长度: {len(system_prompt)} 字符")
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print(f" User Prompt 长度: {len(user_prompt)} 字符")
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print(f" User Prompt 预览:\n {user_prompt[:300]}...")
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# 验证关键信息是否在 prompt 中
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assert SAMPLE_SCENIC_SPOT['name'] in user_prompt, "景区名称未出现在 prompt 中"
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assert SAMPLE_PRODUCT['name'] in user_prompt, "产品名称未出现在 prompt 中"
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print(" ✅ Prompt 渲染正确，包含所有关键信息")
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return True
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async def test_direct_content_generate():
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"""测试内容生成 (直接调用引擎)"""
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print_section("测试内容生成引擎")
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from domain.aigc import EngineRegistry
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from domain.aigc.shared import ComponentFactory
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# 初始化
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print("\n1. 初始化引擎...")
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registry = EngineRegistry()
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factory = ComponentFactory()
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components = factory.create_components()
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registry.set_shared_components(components)
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registry.auto_discover()
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engine = registry.get('content_generate')
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if not engine:
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print(" ❌ 引擎不存在")
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return False
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print(f" ✅ 引擎已加载: {engine.engine_name} v{engine.version}")
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# 构建请求参数
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params = {
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"topic": {
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"index": 1,
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"date": "2025-01-15",
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"title": "寒假遛娃好去处！天津冒险湾家庭套票超值体验",
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"object": "天津冒险湾",
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"product": "家庭套票",
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"style": "攻略风",
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"targetAudience": "亲子向",
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"logic": "寒假期间家庭出游需求旺盛，水上乐园是热门选择"
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},
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"scenic_spot": SAMPLE_SCENIC_SPOT,
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"product": SAMPLE_PRODUCT,
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"style": SAMPLE_STYLE,
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"audience": SAMPLE_AUDIENCE,
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"enable_judge": False, # 跳过审核以加快测试
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"prompt_version": "latest"
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}
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print("\n2. 请求参数:")
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print(f" 选题: {params['topic']['title']}")
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print(f" 景区: {params['scenic_spot']['name']}")
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print(f" 产品: {params['product']['name']}")
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# 验证参数
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print("\n3. 验证参数...")
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valid, error = engine.validate_params(params)
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if not valid:
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print(f" ❌ 参数验证失败: {error}")
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return False
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print(" ✅ 参数验证通过")
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# 测试 Prompt 渲染
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print("\n4. 测试 Prompt 渲染...")
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from domain.prompt import PromptRegistry
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prompt_registry = PromptRegistry('prompts')
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context = {
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'style_content': f"{params['style']['name']}",
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'demand_content': f"{params['audience']['name']}",
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'object_content': f"{params['scenic_spot']['name']}\n{params['scenic_spot']['description']}",
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'product_content': f"{params['product']['name']}\n价格: {params['product']['price']}",
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'refer_content': '',
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}
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system_prompt, user_prompt = prompt_registry.render('content_generate', context)
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print(f" System Prompt 长度: {len(system_prompt)} 字符")
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print(f" User Prompt 长度: {len(user_prompt)} 字符")
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print(" ✅ Prompt 渲染成功")
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return True
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async def test_direct_execute_api():
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"""测试执行 API (直接调用)"""
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print_section("测试执行 API")
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from api.routers.aigc import execute_engine, ExecuteRequest
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# 构建请求
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request = ExecuteRequest(
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engine="topic_generate",
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params={
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"month": "2025-01",
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"num_topics": 2,
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"scenic_spot": SAMPLE_SCENIC_SPOT,
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"product": SAMPLE_PRODUCT,
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"style": SAMPLE_STYLE,
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"audience": SAMPLE_AUDIENCE,
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},
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async_mode=False
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)
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print("\n请求体:")
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print_json({
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"engine": request.engine,
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"params": request.params,
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"async_mode": request.async_mode
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})
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print("\n执行中... (需要 LLM 调用，可能需要等待)")
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print("(如果没有配置 LLM，会返回错误，这是预期行为)")
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try:
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response = await execute_engine(request)
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print("\n响应:")
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print_json({
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"success": response.success,
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"data": response.data,
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"error": response.error
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})
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return response.success
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except Exception as e:
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print(f"\n⚠️ 执行失败 (预期行为，因为没有真实 LLM): {e}")
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return True # 这是预期的，因为没有配置真实 LLM
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# ========== HTTP 测试 (需要启动服务) ==========
|
|||
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|
|||
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async def test_http_api(base_url: str):
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"""通过 HTTP 测试 API"""
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import aiohttp
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|||
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print_section(f"HTTP API 测试 ({base_url})")
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async with aiohttp.ClientSession() as session:
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# 1. 测试健康检查
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print("\n1. 健康检查...")
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try:
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async with session.get(f"{base_url}/") as resp:
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if resp.status == 200:
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print(" ✅ 服务正常")
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else:
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print(f" ❌ 服务异常: {resp.status}")
|
|||
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return False
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|||
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except Exception as e:
|
|||
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print(f" ❌ 连接失败: {e}")
|
|||
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return False
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|||
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|||
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# 2. 测试配置 API
|
|||
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print("\n2. 获取风格配置...")
|
|||
|
|
async with session.get(f"{base_url}/api/v2/aigc/config/styles") as resp:
|
|||
|
|
data = await resp.json()
|
|||
|
|
print(f" ✅ 获取到 {data['count']} 个风格")
|
|||
|
|
|
|||
|
|
print("\n3. 获取人群配置...")
|
|||
|
|
async with session.get(f"{base_url}/api/v2/aigc/config/audiences") as resp:
|
|||
|
|
data = await resp.json()
|
|||
|
|
print(f" ✅ 获取到 {data['count']} 个人群")
|
|||
|
|
|
|||
|
|
# 3. 测试引擎列表
|
|||
|
|
print("\n4. 获取引擎列表...")
|
|||
|
|
async with session.get(f"{base_url}/api/v2/aigc/engines") as resp:
|
|||
|
|
data = await resp.json()
|
|||
|
|
print(f" ✅ 获取到 {data['count']} 个引擎:")
|
|||
|
|
for e in data['engines']:
|
|||
|
|
print(f" - {e['id']}: {e['name']}")
|
|||
|
|
|
|||
|
|
# 4. 测试执行 API
|
|||
|
|
print("\n5. 测试选题生成...")
|
|||
|
|
request_body = {
|
|||
|
|
"engine": "topic_generate",
|
|||
|
|
"params": {
|
|||
|
|
"month": "2025-01",
|
|||
|
|
"num_topics": 2,
|
|||
|
|
"scenic_spot": SAMPLE_SCENIC_SPOT,
|
|||
|
|
"product": SAMPLE_PRODUCT,
|
|||
|
|
"style": SAMPLE_STYLE,
|
|||
|
|
"audience": SAMPLE_AUDIENCE,
|
|||
|
|
},
|
|||
|
|
"async_mode": False
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
async with session.post(
|
|||
|
|
f"{base_url}/api/v2/aigc/execute",
|
|||
|
|
json=request_body,
|
|||
|
|
timeout=aiohttp.ClientTimeout(total=120)
|
|||
|
|
) as resp:
|
|||
|
|
data = await resp.json()
|
|||
|
|
if data.get('success'):
|
|||
|
|
print(" ✅ 选题生成成功!")
|
|||
|
|
print_json(data['data'], " 生成结果")
|
|||
|
|
else:
|
|||
|
|
print(f" ⚠️ 生成失败: {data.get('error')}")
|
|||
|
|
|
|||
|
|
return True
|
|||
|
|
|
|||
|
|
|
|||
|
|
# ========== 生成 Java 端调用示例 ==========
|
|||
|
|
|
|||
|
|
def generate_java_example():
|
|||
|
|
"""生成 Java 端调用示例代码"""
|
|||
|
|
print_section("Java 端调用示例")
|
|||
|
|
|
|||
|
|
example = '''
|
|||
|
|
// ========== Java 端调用 Python V2 API 示例 ==========
|
|||
|
|
|
|||
|
|
// 1. 获取风格/人群配置 (启动时缓存)
|
|||
|
|
@Service
|
|||
|
|
public class AIGCConfigService {
|
|||
|
|
|
|||
|
|
@Autowired
|
|||
|
|
private ExternalServiceClient pythonClient;
|
|||
|
|
|
|||
|
|
public List<StyleConfig> getStyles() {
|
|||
|
|
Map<String, Object> response = pythonClient.get(
|
|||
|
|
"content-generate",
|
|||
|
|
"/api/v2/aigc/config/styles",
|
|||
|
|
Map.class
|
|||
|
|
);
|
|||
|
|
return parseStyles(response);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
public List<AudienceConfig> getAudiences() {
|
|||
|
|
Map<String, Object> response = pythonClient.get(
|
|||
|
|
"content-generate",
|
|||
|
|
"/api/v2/aigc/config/audiences",
|
|||
|
|
Map.class
|
|||
|
|
);
|
|||
|
|
return parseAudiences(response);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 2. 调用选题生成
|
|||
|
|
public TopicGenerateResponse generateTopics(TopicGenerateRequest request) {
|
|||
|
|
// 从数据库查询完整对象
|
|||
|
|
ScenicSpot scenicSpot = scenicSpotService.getById(request.getScenicSpotId());
|
|||
|
|
Product product = productService.getById(request.getProductId());
|
|||
|
|
|
|||
|
|
// 构建 V2 请求
|
|||
|
|
Map<String, Object> requestBody = new HashMap<>();
|
|||
|
|
requestBody.put("engine", "topic_generate");
|
|||
|
|
requestBody.put("params", Map.of(
|
|||
|
|
"month", request.getMonth(),
|
|||
|
|
"num_topics", request.getNumTopics(),
|
|||
|
|
"scenic_spot", Map.of(
|
|||
|
|
"id", scenicSpot.getId(),
|
|||
|
|
"name", scenicSpot.getName(),
|
|||
|
|
"description", scenicSpot.getDescription(),
|
|||
|
|
"address", scenicSpot.getAddress(),
|
|||
|
|
"highlights", scenicSpot.getHighlights()
|
|||
|
|
),
|
|||
|
|
"product", Map.of(
|
|||
|
|
"id", product.getId(),
|
|||
|
|
"name", product.getName(),
|
|||
|
|
"price", product.getPrice(),
|
|||
|
|
"description", product.getDescription()
|
|||
|
|
),
|
|||
|
|
"style", Map.of(
|
|||
|
|
"id", request.getStyleId(),
|
|||
|
|
"name", styleConfigService.getById(request.getStyleId()).getName()
|
|||
|
|
),
|
|||
|
|
"audience", Map.of(
|
|||
|
|
"id", request.getAudienceId(),
|
|||
|
|
"name", audienceConfigService.getById(request.getAudienceId()).getName()
|
|||
|
|
)
|
|||
|
|
));
|
|||
|
|
requestBody.put("async_mode", false);
|
|||
|
|
|
|||
|
|
// 调用 Python V2 API
|
|||
|
|
Map<String, Object> response = pythonClient.post(
|
|||
|
|
"content-generate",
|
|||
|
|
"/api/v2/aigc/execute",
|
|||
|
|
requestBody,
|
|||
|
|
Map.class
|
|||
|
|
);
|
|||
|
|
|
|||
|
|
// 解析响应
|
|||
|
|
if ((Boolean) response.get("success")) {
|
|||
|
|
Map<String, Object> data = (Map<String, Object>) response.get("data");
|
|||
|
|
List<Map<String, Object>> topics = (List<Map<String, Object>>) data.get("topics");
|
|||
|
|
return TopicGenerateResponse.fromTopics(topics);
|
|||
|
|
} else {
|
|||
|
|
throw new BusinessException(ErrorCode.OPERATION_ERROR,
|
|||
|
|
(String) response.get("error"));
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 3. 调用内容生成
|
|||
|
|
public ContentGenerateResponse generateContent(ContentGenerateRequest request) {
|
|||
|
|
// 从数据库查询完整对象
|
|||
|
|
ScenicSpot scenicSpot = scenicSpotService.getById(request.getScenicSpotId());
|
|||
|
|
Product product = productService.getById(request.getProductId());
|
|||
|
|
|
|||
|
|
Map<String, Object> requestBody = new HashMap<>();
|
|||
|
|
requestBody.put("engine", "content_generate");
|
|||
|
|
requestBody.put("params", Map.of(
|
|||
|
|
"topic", request.getTopic(), // 选题信息
|
|||
|
|
"scenic_spot", convertToMap(scenicSpot),
|
|||
|
|
"product", convertToMap(product),
|
|||
|
|
"style", Map.of("id", request.getStyleId(), "name", "攻略风"),
|
|||
|
|
"audience", Map.of("id", request.getAudienceId(), "name", "亲子向"),
|
|||
|
|
"enable_judge", true
|
|||
|
|
));
|
|||
|
|
|
|||
|
|
return pythonClient.post(
|
|||
|
|
"content-generate",
|
|||
|
|
"/api/v2/aigc/execute",
|
|||
|
|
requestBody,
|
|||
|
|
ContentGenerateResponse.class
|
|||
|
|
);
|
|||
|
|
}
|
|||
|
|
'''
|
|||
|
|
print(example)
|
|||
|
|
|
|||
|
|
|
|||
|
|
# ========== 主函数 ==========
|
|||
|
|
|
|||
|
|
async def main():
|
|||
|
|
parser = argparse.ArgumentParser(description='V2 API 端到端测试')
|
|||
|
|
parser.add_argument('--server', type=str, help='服务器地址 (如 http://localhost:8000)')
|
|||
|
|
parser.add_argument('--direct', action='store_true', help='直接测试 (不启动服务)')
|
|||
|
|
parser.add_argument('--java-example', action='store_true', help='生成 Java 调用示例')
|
|||
|
|
args = parser.parse_args()
|
|||
|
|
|
|||
|
|
print("\n" + "=" * 60)
|
|||
|
|
print(" TravelContentCreator V2 API 端到端测试")
|
|||
|
|
print("=" * 60)
|
|||
|
|
print(f" 时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
|
|||
|
|
|
|||
|
|
results = []
|
|||
|
|
|
|||
|
|
if args.java_example:
|
|||
|
|
generate_java_example()
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
if args.server:
|
|||
|
|
# HTTP 测试
|
|||
|
|
success = await test_http_api(args.server)
|
|||
|
|
results.append(("HTTP API 测试", success))
|
|||
|
|
else:
|
|||
|
|
# 直接测试
|
|||
|
|
print("\n模式: 直接测试 (不启动服务)")
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
success = await test_direct_config_api()
|
|||
|
|
results.append(("配置查询 API", success))
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 配置查询 API 测试失败: {e}")
|
|||
|
|
results.append(("配置查询 API", False))
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
success = await test_direct_topic_generate()
|
|||
|
|
results.append(("选题生成引擎", success))
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 选题生成引擎测试失败: {e}")
|
|||
|
|
results.append(("选题生成引擎", False))
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
success = await test_direct_content_generate()
|
|||
|
|
results.append(("内容生成引擎", success))
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 内容生成引擎测试失败: {e}")
|
|||
|
|
results.append(("内容生成引擎", False))
|
|||
|
|
|
|||
|
|
# 打印结果汇总
|
|||
|
|
print_section("测试结果汇总")
|
|||
|
|
|
|||
|
|
passed = 0
|
|||
|
|
for name, success in results:
|
|||
|
|
status = "✅" if success else "❌"
|
|||
|
|
print(f" {status} {name}")
|
|||
|
|
if success:
|
|||
|
|
passed += 1
|
|||
|
|
|
|||
|
|
print(f"\n总计: {passed}/{len(results)} 通过")
|
|||
|
|
|
|||
|
|
# 生成 Java 示例
|
|||
|
|
if args.direct or args.server:
|
|||
|
|
print("\n" + "-" * 60)
|
|||
|
|
print("提示: 运行 --java-example 查看 Java 端调用示例")
|
|||
|
|
|
|||
|
|
return passed == len(results)
|
|||
|
|
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
success = asyncio.run(main())
|
|||
|
|
sys.exit(0 if success else 1)
|