from apps.wpm.models import BatchSt import logging from apps.qm.models import Defect from apps.wpm.models import Mlogb, MlogbDefect import decimal from django.db.models import Sum myLogger = logging.getLogger("log") def main(batch: str): try: batchst = BatchSt.objects.get(batch=batch, version=1) except BatchSt.DoesNotExist: myLogger.error(f"Batch {batch} does not exist") return None, None data = {"批次号": batch} mgroup_names = ["尺寸检验", "外观检验"] for mgroup_name in mgroup_names: mlogb1_qs = Mlogb.objects.filter(mlog__submit_time__isnull=False, material_out__isnull=False, mlog__mgroup__name=mgroup_name, batch=batch) if mlogb1_qs.exists(): data[f"{mgroup_name}_日期"] = [] data[f"{mgroup_name}_操作人"] = [] data[f"{mgroup_name}_count_real"] = 0 data[f"{mgroup_name}_count_ok"] = 0 data[f"{mgroup_name}_count_ok_full"] = 0 for item in mlogb1_qs: if item.mlog.handle_user: data[f"{mgroup_name}_操作人"].append(item.mlog.handle_user) if item.mlog.handle_date: data[f"{mgroup_name}_日期"].append(item.mlog.handle_date) data[f"{mgroup_name}_count_real"] += item.count_real data[f"{mgroup_name}_count_ok"] += item.count_ok data[f"{mgroup_name}_count_ok_full"] += item.count_ok_full try: data[f"{mgroup_name}_合格率"] = round((data[f"{mgroup_name}-count_ok"] / data[f"{mgroup_name}-count_real"])*100, 2) except decimal.InvalidOperation: data[f"{mgroup_name}_合格率"] = 0 mlogbd1_qs = MlogbDefect.objects.filter(mlogb__in=mlogb1_qs, count__gt=0).values("defect__name").annotate(total=Sum("count")) for item in mlogbd1_qs: data[f"{mgroup_name}_缺陷_{item['defect__name']}"] = item["total"] data[f"{mgroup_name}_缺陷_{item['defect__name']}-比例"] = round((item["total"] / data[f"{mgroup_name}-count_real"])*100, 2) data[f"{mgroup_name}_日期"] = list(set(data[f"{mgroup_name}_日期"])) data[f"{mgroup_name}_日期"] = ";".join([item.strftime("%Y-%m-%d") for item in data[f"{mgroup_name}_日期"]]) data[f"{mgroup_name}_操作人"] = list(set(data[f"{mgroup_name}_操作人"])) data[f"{mgroup_name}_操作人"] = ";".join([item.name for item in data[f"{mgroup_name}_操作人"]]) mlogb2_qs = Mlogb.objects.filter(mlog__submit_time__isnull=False, material_out__isnull=False, mlog__mgroup__name="外观检验", mlog__is_fix=True, batch=batch) if mlogb2_qs.exists(): data["外观检验_返修_日期"] = [] data["外观检验_返修_操作人"] = [] data["外观检验_返修_count_real"] = 0 data["外观检验_返修_count_ok"] = 0 data["外观检验_返修_count_ok_full"] = 0 for item in mlogb2_qs: if item.mlog.handle_user: data["外观检验_返修_操作人"].append(item.mlog.handle_user) if item.mlog.handle_date: data["外观检验_返修_日期"].append(item.mlog.handle_date) data["外观检验_返修_count_real"] += item.count_real data["外观检验_返修_count_ok"] += item.count_ok data["外观检验_返修_count_ok_full"] += item.count_ok_full data["外观检验_返修_日期"] = list(set(data["外观检验_返修_日期"])) data["外观检验_返修_日期"] = ";".join([item.strftime("%Y-%m-%d") for item in data["外观检验_返修_日期"]]) data["外观检验_返修_操作人"] = list(set(data["外观检验_返修_操作人"])) data["外观检验_返修_操作人"] = ";".join([item.name for item in data["外观检验_返修_操作人"]]) mlogbd2_qs = MlogbDefect.objects.filter(mlogb__in=mlogb2_qs, count__gt=0).values("defect__name").annotate(total=Sum("count")) for item in mlogbd2_qs: data[f"外观检验_返修_缺陷_{item['defect__name']}"] = item["total"] data[f"外观检验_返修_缺陷_{item['defect__name']}-比例"] = round((item["total"] / data["外观检验_返修-count_real"])*100, 2) if "外观检验_count_ok" in data: data["外观检验_总合格数"] = data["外观检验_count_ok"] + data["外观检验_返修_count_ok"] if "外观检验_返修_count_ok" in data else 0 try: data["外观检验_总合格率"] = round((data["外观检验_总合格数"] / data["外观检验_count_real"])*100, 2) except decimal.InvalidOperation: data["外观检验_总合格率"] = 0 try: data["外观检验_直通合格率"] = round((data["外观检验_总合格率"]* data["尺寸检验_合格率"])/100, 2) except decimal.InvalidOperation: data["外观检验_直通合格率"] = 0 return data, {} if __name__ == '__main__': pass