92 lines
3.3 KiB
Python
92 lines
3.3 KiB
Python
#!/usr/bin/env python3
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"""分析测试类别结构"""
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import asyncio
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from sqlalchemy.ext.asyncio import create_async_engine
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from sqlalchemy import text
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DB_CONFIG = {
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'host': '123.57.81.127',
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'port': 3306,
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'user': 'cpy_admin',
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'password': 'Tgzz2025+',
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'database': 'ruoyi-fastapi'
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}
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DATABASE_URL = (
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f"mysql+asyncmy://{DB_CONFIG['user']}:{DB_CONFIG['password']}@"
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f"{DB_CONFIG['host']}:{DB_CONFIG['port']}/{DB_CONFIG['database']}"
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)
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async def analyze_test_category():
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engine = create_async_engine(DATABASE_URL, echo=False)
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async with engine.connect() as conn:
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print("=" * 80)
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print("Test Category Structure Analysis")
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print("=" * 80)
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# 1. 检查 test_category 表结构
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print("\n[1] test_category table structure:")
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result = await conn.execute(text("DESCRIBE test_category"))
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rows = result.fetchall()
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for row in rows:
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print(f" {row[0]:<20} | {row[1]:<20} | {row[2]:<10} | {row[3]}")
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# 2. 检查现有测试类别数据
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print("\n[2] Current test_category data:")
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result = await conn.execute(text("""
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SELECT id, name, parent_id, level, category_code, sort_order, report_config_type
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FROM test_category
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ORDER BY parent_id, sort_order
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"""))
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rows = result.fetchall()
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for row in rows:
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parent_str = f"Parent:{row[2]}" if row[2] else "Root"
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print(f" ID:{row[0]:<3} | {row[1]:<15} | {parent_str:<12} | Level:{row[3]} | Code:{row[4]} | Sort:{row[5]} | ReportType:{row[6]}")
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# 3. 检查 test_item 表结构
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print("\n[3] test_item table structure:")
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result = await conn.execute(text("DESCRIBE test_item"))
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rows = result.fetchall()
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for row in rows:
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print(f" {row[0]:<20} | {row[1]:<20} | {row[2]:<10} | {row[3]}")
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# 4. 检查现有测试单元数据
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print("\n[4] Current test_item data:")
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result = await conn.execute(text("""
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SELECT id, name, test_category_id, eut_type_id
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FROM test_item
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ORDER BY test_category_id
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"""))
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rows = result.fetchall()
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for row in rows:
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print(f" ID:{row[0]:<3} | {row[1]:<15} | CategoryID:{row[2]} | EutTypeID:{row[3]}")
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# 5. 检查 test_category_detail 表
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print("\n[5] test_category_detail table structure:")
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result = await conn.execute(text("DESCRIBE test_category_detail"))
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rows = result.fetchall()
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for row in rows:
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print(f" {row[0]:<20} | {row[1]:<20} | {row[2]:<10} | {row[3]}")
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# 6. 检查 test_category_detail 数据
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print("\n[6] Current test_category_detail data:")
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result = await conn.execute(text("""
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SELECT id, test_category_id, detail_type, detail_name, detail_value
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FROM test_category_detail
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ORDER BY test_category_id, detail_type
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"""))
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rows = result.fetchall()
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for row in rows:
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print(f" ID:{row[0]:<3} | CategoryID:{row[1]} | Type:{row[2]:<15} | Name:{row[3]:<15} | Value:{row[4]}")
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print("\n" + "=" * 80)
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print("Analysis Complete")
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print("=" * 80)
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await engine.dispose()
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if __name__ == '__main__':
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asyncio.run(analyze_test_category())
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