97 lines
3.1 KiB
Python
97 lines
3.1 KiB
Python
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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测试脚本执行和数据保存功能
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"""
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import sqlite3
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import json
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from pathlib import Path
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def test_script_data_storage():
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"""测试脚本数据存储功能"""
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print("=" * 60)
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print("测试脚本数据存储功能")
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print("=" * 60)
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db_path = Path(__file__).parent / "experiments.db"
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try:
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conn = sqlite3.connect(str(db_path))
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cursor = conn.cursor()
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# 1. 查找最近的已结束实验
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print("\n1. 查找已结束的实验...")
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cursor.execute("""
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SELECT id, start_ts, end_ts, work_order_no, script_data
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FROM experiments
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WHERE end_ts IS NOT NULL
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ORDER BY id DESC
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LIMIT 5
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""")
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experiments = cursor.fetchall()
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if not experiments:
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print("❌ 没有找到已结束的实验")
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conn.close()
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return
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print(f"✅ 找到 {len(experiments)} 个已结束的实验\n")
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for exp_id, start_ts, end_ts, work_order, script_data in experiments:
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print(f"实验 ID: {exp_id}")
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print(f" 工单号: {work_order or '无'}")
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print(f" 开始时间: {start_ts}")
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print(f" 结束时间: {end_ts}")
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if script_data:
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try:
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data = json.loads(script_data)
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print(f" ✅ 脚本数据: 已保存 ({len(script_data)} 字节)")
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if isinstance(data, dict):
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print(f" 数据键: {list(data.keys())}")
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except Exception as e:
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print(f" ⚠️ 脚本数据解析失败: {e}")
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else:
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print(f" ⚠️ 脚本数据: 未保存")
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print()
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# 2. 测试数据结构
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print("\n2. 测试脚本数据结构...")
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test_data = {
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"tables": [
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{
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"token": "experimentProcess",
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"cells": [
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{"row": 0, "col": 0, "value": "测试数据1"},
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{"row": 0, "col": 1, "value": "测试数据2"}
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]
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}
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],
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"charts": []
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}
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test_json = json.dumps(test_data, ensure_ascii=False)
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print(f"✅ 测试数据生成成功 ({len(test_json)} 字节)")
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print(f" 数据内容: {test_json[:100]}...")
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conn.close()
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print("\n" + "=" * 60)
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print("测试完成")
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print("=" * 60)
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print("\n💡 使用说明:")
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print("1. 在UI中找到一个已结束的实验")
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print("2. 点击「执行脚本」按钮")
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print("3. 脚本数据将被保存到数据库")
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print("4. 点击「生成报告」时将直接使用保存的数据")
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print("5. 如果脚本执行失败，可以再次点击「执行脚本」重试")
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except Exception as e:
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print(f"❌ 测试失败: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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test_script_data_storage()
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