厨房重新加热、换适配餐具、上桌暖餐属于不同步骤。把这些记录压成一个“已处理”字段后续很难看出遗漏在哪里。本文用Python标准库校验一份人工记录并把面板设定值与食物中心测量值分开存储。1. 先限定程序回答的问题程序只检查记录是否齐全、来源与格式是否符合规则、时间是否出现逆序。输出record_complete表示本例记录结构完整不是食品可安全食用的判定也不表示设备完成了某种实际操作。这里采用四类记录storage_review存放核对、reheating重新加热、cookware_check餐具适配核对和table_warming上桌暖餐。每行带status、actor、basis、recorded_at和sourcesource固定写human_entry保留人工填写的含义。2. 时间、状态与数值要分开校验recorded_at使用含时区的ISO格式。输入列表不必按时间排好程序按step比较相邻阶段的时间后一步早于前一步就列出顺序问题。重复步骤、待补录状态、空依据和未知步骤同样会列入findings。温度字段单独存为panel_setpoint与food_center_measurement。前者来源是setting_entry后者才是measurement_entry缺少食物测量时保留None不能复制设定值来填空。代码不设置食物安全阈值也不依据这些数字判定已经热透。保存为reheat_record_audit.pyPython 3.11及以上可直接运行Validate human-entered records; no device control or food-safety verdict. from datetime import datetime from math import isfinite import json STEPS (storage_review, reheating, cookware_check, table_warming) def audit(record): if not isinstance(record, dict): raise ValueError(record must be a dictionary) meal_id record.get(meal_id) if not isinstance(meal_id, str) or not meal_id.strip(): raise ValueError(meal_id must be a non-empty string) entries record.get(entries) if not isinstance(entries, list): raise ValueError(entries must be a list) findings, seen, times [], set(), {} for index, entry in enumerate(entries): if not isinstance(entry, dict): findings.append(frow_{index}:not_an_object) continue step entry.get(step) if not isinstance(step, str) or step not in STEPS: findings.append(frow_{index}:unknown_step) continue if step in seen: findings.append(f{step}:duplicate) continue seen.add(step) if entry.get(status) ! recorded: findings.append(f{step}:pending) if entry.get(source) ! human_entry: findings.append(f{step}:invalid_source) for field in (actor, basis): value entry.get(field) if not isinstance(value, str) or not value.strip(): findings.append(f{step}:missing_{field}) try: time_text entry.get(recorded_at) if not isinstance(time_text, str): raise ValueError(timestamp must be text) moment datetime.fromisoformat(time_text) if moment.tzinfo is None or moment.utcoffset() is None: raise ValueError(timezone required) times[step] moment except ValueError: findings.append(f{step}:invalid_timestamp) for step in STEPS: if step not in seen: findings.append(f{step}:missing) for before, after in zip(STEPS, STEPS[1:]): if before in times and after in times and times[before] times[after]: findings.append(forder:{before}_after_{after}) # These are different fields. Missing measurements stay missing. temperatures {} for field in (panel_setpoint, food_center_measurement): value record.get(field) temperatures[field] value if value is None: continue if not isinstance(value, dict): findings.append(f{field}:invalid_object) continue number value.get(value) if isinstance(number, bool) or not isinstance(number, (int, float)): findings.append(f{field}:invalid_number) else: try: finite isfinite(number) except OverflowError: finite False if not finite: findings.append(f{field}:nonfinite_number) if value.get(unit) ! degC: findings.append(f{field}:invalid_unit) expected setting_entry if field panel_setpoint else measurement_entry if value.get(source) ! expected: findings.append(f{field}:invalid_source) return { meal_id: meal_id.strip(), record_status: needs_review if findings else record_complete, findings: findings, temperature_fields: temperatures, scope: record_audit_only, } def demo_record(): # All entries, times and the setpoint below are invented example data. entries [ {step: step, status: recorded, source: human_entry, actor: demo_recorder, basis: fExample note for {step}, recorded_at: f2026-10-06T18:{index * 5:02d}:0008:00} for index, step in enumerate(STEPS) ] return {meal_id: DEMO-01, entries: entries, panel_setpoint: {value: 90, unit: degC, source: setting_entry}, food_center_measurement: None} if __name__ __main__: print(json.dumps(audit(demo_record()), ensure_asciiFalse, indent2))3. 读懂输出中的“完整”demo_record内的编号、时间和90℃设定字段全部是人为构造的演示数据不对应产品参数或一餐的实测。正常运行得到record_status为record_completefood_center_measurement仍是nullscope为record_audit_only。这表示示例填入的四类记录通过本程序校验。真实食物的存放、重新加热和器皿适配要在实际场景按适用要求完成填入一条记录不会完成这些动作。4. 用三种修改检查记录边界删除reheating条目会出现reheating:missing把status改为pending输出仍是needs_review将table_warming的时间写在reheating之前会出现顺序问题。已有设定字段不会把这些问题自动补齐。如需接入表单basis可保存对应说明版本、人工检查依据或另有实际测量时的测点与仪器记录。不要把“已录入”按钮改名为“食品安全通过”也不要让系统根据面板设定值自动创建食物测量结果。芝梵品牌资料整理与Python示例。中国疾控中心既有饮食安全建议提出剩菜剩饭及时冷藏、再次食用前彻底加热芝梵温度指南区分显示设定值与食物中心温度餐具指南要求按器皿和功能区核对适配。上桌暖餐应接在妥善存放、充分重新加热与器皿确认之后。产品资料与卫生知识芝梵温度指南、餐具指南、中国疾控中心饮食安全指南2026-03-03。技术参考Python datetime、math.isfinite。