lofyerandfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
71db82393a
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""
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测试脚本：验证数据引擎能正确读取和解析Excel数据
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"""
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import sys
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from pathlib import Path
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# 添加项目路径
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sys.path.insert(0, str(Path(__file__).parent.parent / "backend"))
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from app.engines.data_engine import DataEngine
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from app.config import DIMENSION_FRAMEWORK, SCHOOL_TYPE_MAP
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import json
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def main():
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print("=" * 80)
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print("数据引擎测试")
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print("=" * 80)
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engine = DataEngine()
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engine.load_all()
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# 1. 基本信息
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summary = engine.summary()
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print(f"\n📊 数据摘要:")
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print(f" 学校数量: {summary['school_count']}")
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print(f" 学校列表: {summary['schools']}")
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print(f" 基础信息行数: {summary['basic_info_rows']}")
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print(f" 课程实施行数: {summary['course_impl_rows']}")
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print(f" 学科课程行数: {summary['subject_impl_rows']}")
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# 2. 测试单校数据
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test_school = "延安中学"
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print(f"\n🏫 {test_school} 基本信息:")
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info = engine.get_school_basic_info(test_school)
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for k, v in info.items():
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print(f" {k}: {v}")
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# 3. 测试课程数据
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print(f"\n📚 {test_school} 课程实施数据:")
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course_df = engine.get_school_course_data(test_school)
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print(f" 总行数: {len(course_df)}")
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print(f" 涉及学科: {sorted(course_df['学科'].unique().tolist())}")
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print(f" 涉及题号: {sorted(course_df['题号'].unique().tolist())[:20]}...")
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# 4. 测试学科数据
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print(f"\n🔬 {test_school} 学科课程数据:")
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subject_df = engine.get_school_subject_data(test_school)
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print(f" 总行数: {len(subject_df)}")
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print(f" 涉及学科: {sorted(subject_df['学科'].unique().tolist())}")
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# 5. 测试周课时数据
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print(f"\n⏰ {test_school} 周课时数据（前10行）:")
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hours = engine.get_weekly_hours(test_school)
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if len(hours) > 0:
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print(hours[["学科", "年级", "学期", "字段名称", "字段取值"]].head(10).to_string())
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else:
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print(" 无课时数据")
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# 6. 测试课程规范数据
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print(f"\n📋 {test_school} 课程规范数据（前5条）:")
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norms = engine.get_course_norms(test_school)
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for n in norms[:5]:
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print(f" {n['字段名称']}: {n['字段取值']}")
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# 7. 所有学校类型
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print(f"\n🏷️ 学校类型:")
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for school in engine.schools:
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info = SCHOOL_TYPE_MAP.get(school, {})
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print(f" {school}: {info.get('type', '未知')} ({info.get('nature', '')}) [{info.get('feature', '')}]")
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print("\n✅ 数据引擎测试完成!")
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if __name__ == "__main__":
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main()
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