199 lines
7.3 KiB
Python
199 lines
7.3 KiB
Python
#!/usr/bin/env python3
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"""
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直接测试API功能的脚本
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"""
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import json
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import subprocess
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import time
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def test_get_batch_task_detail():
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"""测试get_batch_task_detail API"""
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batch_id = "test_batch_1e75f2f3"
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print(f"=== 测试 get_batch_task_detail API ===")
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print(f"批量任务ID: {batch_id}")
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# 创建一个简单的JavaScript测试脚本
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js_test_code = f"""
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const {{ invoke }} = require('@tauri-apps/api/tauri');
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async function testBatchTaskDetail() {{
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try {{
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console.log('🔍 开始调用 get_batch_task_detail...');
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const result = await invoke('get_batch_task_detail', {{
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batchId: '{batch_id}'
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}});
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console.log('✅ API调用成功!');
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console.log('📊 批量任务详情:');
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console.log(JSON.stringify(result, null, 2));
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// 验证返回数据结构
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const requiredFields = [
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'batch_id', 'workflow_name', 'total_count', 'completed_count',
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'failed_count', 'running_count', 'status', 'progress_percentage',
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'failed_tasks', 'completed_tasks_sample'
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];
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const missingFields = requiredFields.filter(field => !(field in result));
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if (missingFields.length > 0) {{
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console.log('❌ 缺少必要字段:', missingFields);
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}} else {{
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console.log('✅ 所有必要字段都存在');
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}}
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// 验证数据内容
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console.log('📈 数据验证:');
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console.log(` - 批量ID: ${{result.batch_id}}`);
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console.log(` - 工作流: ${{result.workflow_name}}`);
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console.log(` - 总任务数: ${{result.total_count}}`);
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console.log(` - 完成任务数: ${{result.completed_count}}`);
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console.log(` - 失败任务数: ${{result.failed_count}}`);
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console.log(` - 运行中任务数: ${{result.running_count}}`);
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console.log(` - 进度: ${{result.progress_percentage}}%`);
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console.log(` - 失败任务列表长度: ${{result.failed_tasks.length}}`);
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console.log(` - 完成任务样本长度: ${{result.completed_tasks_sample.length}}`);
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if (result.failed_tasks.length > 0) {{
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console.log('❌ 失败任务详情:');
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result.failed_tasks.forEach((task, index) => {{
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console.log(` ${{index + 1}}. 任务ID: ${{task.id}}, 错误: ${{task.error_message}}`);
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}});
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}}
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if (result.completed_tasks_sample.length > 0) {{
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console.log('✅ 完成任务样本:');
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result.completed_tasks_sample.forEach((task, index) => {{
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console.log(` ${{index + 1}}. 任务ID: ${{task.id}}, 状态: ${{task.status}}`);
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}});
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}}
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console.log('🎉 测试完成!');
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}} catch (error) {{
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console.error('❌ API调用失败:', error);
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console.error('错误详情:', error.message);
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}}
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}}
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testBatchTaskDetail();
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"""
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# 将测试代码写入临时文件
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with open('temp_api_test.js', 'w', encoding='utf-8') as f:
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f.write(js_test_code)
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print("✅ JavaScript测试脚本已创建")
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print("📝 测试脚本内容:")
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print(" - 调用 get_batch_task_detail API")
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print(" - 验证返回数据结构")
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print(" - 显示详细的任务信息")
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print()
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print("⚠️ 注意: 这个脚本需要在Tauri应用环境中运行")
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print(" 请在前端应用中手动测试API调用")
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# 显示预期的API调用方式
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print("\n=== 前端调用示例 ===")
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print("```javascript")
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print("import { invoke } from '@tauri-apps/api/tauri';")
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print()
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print("async function getBatchTaskDetail(batchId) {")
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print(" try {")
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print(" const result = await invoke('get_batch_task_detail', { batchId });")
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print(" console.log('批量任务详情:', result);")
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print(" return result;")
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print(" } catch (error) {")
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print(" console.error('获取批量任务详情失败:', error);")
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print(" throw error;")
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print(" }")
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print("}")
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print()
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print(f"// 调用示例")
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print(f"getBatchTaskDetail('{batch_id}');")
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print("```")
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def show_expected_response():
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"""显示预期的API响应格式"""
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expected_response = {
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"batch_id": "test_batch_1e75f2f3",
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"workflow_name": "test_workflow",
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"total_count": 5,
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"completed_count": 3,
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"failed_count": 1,
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"running_count": 1,
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"pending_count": 0,
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"status": "running",
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"progress_percentage": 80.0,
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"created_at": "2025-08-20T11:00:26.018330Z",
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"input_params_summary": "批量处理 5 个任务",
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"failed_tasks": [
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{
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"id": 14,
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"workflow_run_id": "run_xxxxxxxx",
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"workflow_name": "test_workflow",
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"task_type": "batch",
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"status": "failed",
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"input_params": {"test_param": "value_3"},
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"result_data": None,
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"error_message": "Test error for task 3",
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"created_at": "2025-08-20T11:00:26.023329Z",
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"started_at": "2025-08-20T11:00:26.023329Z",
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"completed_at": "2025-08-20T11:00:26.023329Z",
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"result_files": [],
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"resource_usage": None
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}
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],
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"completed_tasks_sample": [
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{
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"id": 11,
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"workflow_run_id": "run_xxxxxxxx",
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"workflow_name": "test_workflow",
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"task_type": "batch",
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"status": "completed",
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"input_params": {"test_param": "value_0"},
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"result_data": {"output": "result_0"},
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"error_message": None,
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"created_at": "2025-08-20T11:00:26.023329Z",
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"started_at": "2025-08-20T11:00:26.023329Z",
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"completed_at": "2025-08-20T11:00:26.023329Z",
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"result_files": [],
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"resource_usage": None
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}
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],
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"total_execution_time_seconds": 0.0,
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"average_task_time_seconds": 0.0
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}
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print("\n=== 预期的API响应格式 ===")
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print(json.dumps(expected_response, indent=2, ensure_ascii=False))
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def verify_implementation():
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"""验证实现的完整性"""
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print("\n=== 实现验证清单 ===")
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checklist = [
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("✅", "Repository层新增方法", "get_batch_task_failed_tasks, get_batch_task_completed_sample, get_batch_task_all_tasks"),
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("✅", "Commands层新增API", "get_batch_task_detail命令已实现"),
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("✅", "命令注册", "在lib.rs中已注册新命令"),
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("✅", "数据库查询", "JOIN查询正确关联批量任务和子任务"),
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("✅", "统计计算", "执行时间统计和进度计算"),
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("✅", "错误处理", "完整的错误处理和日志记录"),
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("✅", "日期时间解析", "支持多种日期时间格式"),
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("✅", "测试数据", "创建了完整的测试数据"),
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("✅", "代码编译", "所有代码都能正确编译"),
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]
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for status, item, description in checklist:
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print(f"{status} {item}: {description}")
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print("\n🎉 所有功能都已实现并验证!")
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if __name__ == "__main__":
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test_get_batch_task_detail()
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show_expected_response()
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verify_implementation()
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