85 lines
4.8 KiB
Python
85 lines
4.8 KiB
Python
import openpyxl
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from openpyxl import Workbook
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def create_input_excel(filename="input_params.xlsx"):
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wb = Workbook()
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ws = wb.active
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ws.title = "输入接口"
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headers = ["文件名/数据流", "格式", "字段 (Field)", "类型 (Type)", "描述 (Description)"]
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ws.append(headers)
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data = [
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["virus_params.json", "JSON", "strain_name", "String", "病毒变种标识符，如\"Delta\", \"Omicron BA.5\""],
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["", "", "r0", "Float", "基本再生数，描述病毒内在传播力"],
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["", "", "latent_period", "Float", "平均潜伏期时长（天）"],
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["", "", "generation_interval", "Float", "平均世代间隔（天）"],
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["", "", "asymptomatic_rate", "Float", "无症状感染比例（0-1之间）"],
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["", "", "symptomatic_rate", "Float", "出现临床症状的比例（0-1之间）"],
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["", "", "severe_rate", "Float", "确诊者中发展为重症的比例（0-1之间）"],
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["", "", "fatality_rate", "Float", "感染致死率（IFR，0-1之间）"],
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["", "", "env_survival", "Float", "病毒在标准环境下的存活时间（小时）"],
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["environment_params.json", "JSON", "target_population", "Integer", "目标区域总人口数"],
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["", "", "pop_density", "Float", "目标区域平均人口密度（人/平方公里）"],
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["", "", "avg_temperature", "Float", "攻击期间预测平均温度（摄氏度）"],
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["", "", "avg_humidity", "Float", "攻击期间预测平均相对湿度（百分比）"],
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["", "", "terrain_type", "String", "主要地形类型，如\"Urban\", \"Suburban\", \"Rural\""],
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["operation_plan.json", "JSON", "planned_start_time", "String (ISO 8601)", "计划中的攻击发起时间（YYYY-MM-DDThh:mm:ssZ）"],
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["", "", "actual_start_time", "String (ISO 8601)", "实际攻击发起时间（YYYY-MM-DDThh:mm:ssZ）"],
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["", "", "expected_casualties", "Integer", "期望达成的感染人数目标"],
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["", "", "expected_fatalities", "Integer", "期望达成的死亡人数目标"],
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["defense_capability.json", "JSON", "cc_response_delay", "Float", "指挥控制响应延迟（小时）"],
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["", "", "si_detection_delay", "Float", "侦察预警-病例发现延迟（小时）"],
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["", "", "si_testing_capacity", "Integer", "侦察预警-日最大核酸检测能力"],
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["", "", "pp_public_compliance", "Float", "预防保护-公众防护措施依从率（0-1之间）"],
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["", "", "pp_vaccination_rate", "Float", "预防保护-疫苗全程接种率（0-1之间）"],
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["", "", "qi_isolation_delay", "Float", "封控隔离-感染者隔离延迟（小时）"],
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["", "", "qi_quarantine_capacity", "Integer", "封控隔离-可用隔离床位总数"],
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["", "", "mt_hospital_beds", "Integer", "救治后送-医院总床位数"],
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["", "", "mt_icu_beds", "Integer", "救治后送-ICU总床位数"],
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["", "", "rs_drug_dev_cycle", "Float", "应急科研-特效药研发周期（月）"]
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]
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for row in data:
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ws.append(row)
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wb.save(filename)
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print(f"{filename} 已生成")
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def create_output_excel(filename="output_params.xlsx"):
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wb = Workbook()
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ws = wb.active
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ws.title = "输出接口"
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headers = ["文件名/数据流", "格式", "字段 (Field)", "类型 (Type)", "描述 (Description)"]
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ws.append(headers)
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data = [
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["assessment_report.json", "JSON", "estimated_casualties", "Integer", "模型估算的总感染人数"],
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["", "", "estimated_fatalities", "Integer", "模型估算的总死亡人数"],
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["", "", "casualty_goal_achieved", "Boolean", "总感染人数目标是否达成"],
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["", "", "fatality_goal_achieved", "Boolean", "总死亡人数目标是否达成"],
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["", "", "casualty_achievement_rate", "Float", "感染目标达成率（estimated/expected）"],
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["", "", "fatality_achievement_rate", "Float", "死亡目标达成率（estimated/expected）"],
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["", "", "peak_medical_demand", "Integer", "估算的峰值医疗需求（住院人数）"],
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["", "", "medical_system_overwhelmed", "Boolean", "是否发生医疗资源挤兑"],
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["", "", "key_vulnerability", "Array of String", "识别出的b方关键脆弱性（如\"检测延迟\", \"隔离容量不足\"）"],
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["", "", "major_risk_factors", "Array of String", "导致方案失败的主要风险因素（如\"病毒传播力不足\", \"响应延迟过长\"）"],
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["", "", "overall_effectiveness_score", "Float", "方案综合效能评分（0-100）"],
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["", "", "overall_risk_score", "Float", "方案综合风险评分（0-100）"]
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]
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for row in data:
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ws.append(row)
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wb.save(filename)
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print(f"{filename} 已生成")
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if __name__ == "__main__":
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create_input_excel()
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create_output_excel()
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