194 lines
11 KiB
Python
194 lines
11 KiB
Python
from apps.wpm.models import BatchSt
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import logging
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from apps.qm.models import Defect, FtestWork, FtestworkDefect
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from apps.wpm.models import Mlogb, MlogbDefect, Mlog
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from apps.mtm.models import Mgroup
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import decimal
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from django.db.models import Sum
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from datetime import datetime
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from apps.wpm.services_2 import get_f_l_date
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import json
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from apps.utils.tools import MyJSONEncoder
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myLogger = logging.getLogger("log")
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def main(batch: str, mgroup_obj):
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try:
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batchst = BatchSt.objects.get(batch=batch, version=1)
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except BatchSt.DoesNotExist:
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myLogger.error(f"Batch {batch} does not exist")
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return
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data = {"批次号": batch}
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mgroup_qs = Mgroup.objects.all().order_by("sort")
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for mgroup in mgroup_qs:
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mgroup_name = mgroup.name
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mlogb1_qs = Mlogb.objects.filter(mlog__submit_time__isnull=False,
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material_out__isnull=False, mlog__mgroup=mgroup,
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mlog__is_fix=False, batch=batch, need_inout=True)
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if mlogb1_qs.exists():
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data[f"{mgroup_name}_日期"] = []
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data[f"{mgroup_name}_操作人"] = []
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data[f"{mgroup_name}_班次"] = []
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data[f"{mgroup_name}_count_use"] = 0
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data[f"{mgroup_name}_count_real"] = 0
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data[f"{mgroup_name}_count_ok"] = 0
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data[f"{mgroup_name}_count_notok"] = 0
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data[f"{mgroup_name}_count_ok_full"] = 0
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data[f"{mgroup_name}_count_pn_jgqbl"] = 0
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mlogb_q_ids = []
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for item in mlogb1_qs:
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# 找到对应的输入
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mlogb_from:Mlogb = item.mlogb_from
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if mlogb_from:
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mlogb_q_ids.append(mlogb_from.id)
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data[f"{mgroup_name}_count_use"] += mlogb_from.count_use
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data[f"{mgroup_name}_count_pn_jgqbl"] += mlogb_from.count_pn_jgqbl
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if item.mlog.handle_user:
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data[f"{mgroup_name}_操作人"].append(item.mlog.handle_user)
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if item.mlog.handle_date:
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data[f"{mgroup_name}_日期"].append(item.mlog.handle_date)
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if item.mlog.shift:
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data[f"{mgroup_name}_班次"].append(item.mlog.shift.name)
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data[f"{mgroup_name}_count_real"] += item.count_real
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data[f"{mgroup_name}_count_ok"] += item.count_ok
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data[f"{mgroup_name}_count_ok_full"] += item.count_ok_full if item.count_ok_full else 0
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data[f"{mgroup_name}_count_notok"] += item.count_notok if item.count_notok else 0
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try:
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data[f"{mgroup_name}_完全合格率"] = round((data[f"{mgroup_name}_count_ok_full"] / data[f"{mgroup_name}_count_real"])*100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data[f"{mgroup_name}_完全合格率"] = 0
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try:
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data[f"{mgroup_name}_合格率"] = round((data[f"{mgroup_name}_count_ok"] / data[f"{mgroup_name}_count_real"])*100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data[f"{mgroup_name}_合格率"] = 0
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mlogbd1_qs = MlogbDefect.objects.filter(mlogb__in=mlogb1_qs, count__gt=0).values("defect__name").annotate(total=Sum("count"))
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mlogbd1_q_qs = MlogbDefect.objects.filter(mlogb__id__in=mlogb_q_ids, count__gt=0).values("defect__name").annotate(total=Sum("count"))
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for item in mlogbd1_q_qs:
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data[f"{mgroup_name}_加工前_缺陷_{item['defect__name']}"] = item["total"]
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data[f"{mgroup_name}_加工前_缺陷_{item['defect__name']}_比例"] = round((item["total"] / data[f"{mgroup_name}_count_use"])*100, 2)
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for item in mlogbd1_qs:
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data[f"{mgroup_name}_缺陷_{item['defect__name']}"] = item["total"]
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data[f"{mgroup_name}_缺陷_{item['defect__name']}_比例"] = round((item["total"] / data[f"{mgroup_name}_count_real"])*100, 2)
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data[f"{mgroup_name}_日期"] = list(set(data[f"{mgroup_name}_日期"]))
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data[f"{mgroup_name}_日期"].sort()
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data[f"{mgroup_name}_小日期"] = min(data[f"{mgroup_name}_日期"]).strftime("%Y-%m-%d")
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data[f"{mgroup_name}_大日期"] = max(data[f"{mgroup_name}_日期"]).strftime("%Y-%m-%d")
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data[f"{mgroup_name}_日期"] = ";".join([item.strftime("%Y-%m-%d") for item in data[f"{mgroup_name}_日期"]])
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data[f"{mgroup_name}_操作人"] = list(set(data[f"{mgroup_name}_操作人"]))
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data[f"{mgroup_name}_操作人"] = ";".join([item.name for item in data[f"{mgroup_name}_操作人"]])
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data[f"{mgroup_name}_班次"] = list(set(data[f"{mgroup_name}_班次"]))
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data[f"{mgroup_name}_班次"] = ";".join([item for item in data[f"{mgroup_name}_班次"]])
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# 按 mlog__submit_time, id 排序，每条 Mlogb 记录独立为一次返修
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# （同一 Mlog 下有多条同批次 Mlogb 时也能正确拆分为多次返修）
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_all_fix_qs = Mlogb.objects.filter(
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mlog__submit_time__isnull=False,
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material_out__isnull=False,
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mlog__mgroup__name="外观检验",
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mlog__is_fix=True,
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batch=batch,
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need_inout=True,
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).order_by("mlog__submit_time", "id")
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_fix_prefixes = []
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for fix_idx, fix_mlogb in enumerate(_all_fix_qs):
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suffix = "" if fix_idx == 0 else str(fix_idx + 1)
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prefix = f"外观检验_返修{suffix}_"
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_fix_prefixes.append(prefix)
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mlog = fix_mlogb.mlog
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handle_date = mlog.handle_date
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data[f"{prefix}count_real"] = fix_mlogb.count_real
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data[f"{prefix}count_ok"] = fix_mlogb.count_ok
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data[f"{prefix}count_ok_full"] = fix_mlogb.count_ok_full or 0
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data[f"{prefix}count_notok"] = fix_mlogb.count_notok or 0
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try:
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data[f"{prefix}合格率"] = round((fix_mlogb.count_ok / fix_mlogb.count_real) * 100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data[f"{prefix}合格率"] = 0
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try:
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data[f"{prefix}完全合格率"] = round(((fix_mlogb.count_ok_full or 0) / fix_mlogb.count_real) * 100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data[f"{prefix}完全合格率"] = 0
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data[f"{prefix}日期"] = handle_date.strftime("%Y-%m-%d") if handle_date else ""
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data[f"{prefix}小日期"] = handle_date.strftime("%Y-%m-%d") if handle_date else ""
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data[f"{prefix}大日期"] = handle_date.strftime("%Y-%m-%d") if handle_date else ""
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data[f"{prefix}操作人"] = mlog.handle_user.name if mlog.handle_user else ""
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data[f"{prefix}班次"] = mlog.shift.name if mlog.shift else ""
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fix_defect_qs = MlogbDefect.objects.filter(mlogb=fix_mlogb, count__gt=0).values("defect__name").annotate(total=Sum("count"))
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for item in fix_defect_qs:
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data[f"{prefix}缺陷_{item['defect__name']}"] = item["total"]
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data[f"{prefix}缺陷_{item['defect__name']}_比例"] = round((item["total"] / fix_mlogb.count_real) * 100, 2)
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# 车间库存抽检
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ft_qs = FtestWork.objects.filter(type2=FtestWork.TYPE2_SOME, wm__mgroup__name="外观检验", batch=batch, submit_time__isnull=False)
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if ft_qs.exists():
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data["外观检验_车间库存抽检_日期"] = []
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data["外观检验_车间库存抽检_操作人"] = []
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data["外观检验_车间库存抽检_count_notok"] = 0
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for item in ft_qs:
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if item.test_user:
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data["外观检验_车间库存抽检_操作人"].append(item.test_user)
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if item.test_date:
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data["外观检验_车间库存抽检_日期"].append(item.test_date)
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data["外观检验_车间库存抽检_count_notok"] += item.count_notok if item.count_notok else 0
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data["外观检验_车间库存抽检_日期"] = list(set(data["外观检验_车间库存抽检_日期"]))
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data["外观检验_车间库存抽检_日期"] = ";".join([item.strftime("%Y-%m-%d") for item in data["外观检验_车间库存抽检_日期"]])
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data["外观检验_车间库存抽检_操作人"] = list(set(data["外观检验_车间库存抽检_操作人"]))
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data["外观检验_车间库存抽检_操作人"] = ";".join([item.name for item in data["外观检验_车间库存抽检_操作人"]])
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# 车间库存抽检缺陷
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ftd_qs = FtestworkDefect.objects.filter(ftestwork__in=ft_qs, count__gt=0).values("defect__name").annotate(total=Sum("count"))
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for item in ftd_qs:
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data[f"外观检验_车间库存抽检_缺陷_{item['defect__name']}"] = item["total"]
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if "外观检验_count_ok" in data:
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data["外观检验_总合格数"] = data["外观检验_count_ok"] + sum(data.get(f"{p}count_ok", 0) for p in _fix_prefixes)
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try:
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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)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data["外观检验_总合格率"] = 0
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data["外观检验_完全总合格数"] = data["外观检验_count_ok_full"] + sum(data.get(f"{p}count_ok_full", 0) for p in _fix_prefixes)
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try:
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data["外观检验_完全总合格率"] = round((data["外观检验_完全总合格数"] / data["外观检验_count_real"])*100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data["外观检验_完全总合格率"] = 0
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data["外观检验_直通合格数"] = data["外观检验_总合格数"] - data.get("外观检验_车间库存抽检_count_notok", 0)
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if "尺寸检验_合格率" in data:
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try:
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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)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data["外观检验_直通合格率"] = 0
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try:
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data["外观检验_直通合格率2"] = round((data["外观检验_直通合格数"]/data["尺寸检验_count_use"])*100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data["外观检验_直通合格率2"] = 0
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if "尺寸检验_完全合格率" in data:
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try:
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data["外观检验_完全直通合格率"] = round((data["外观检验_完全总合格率"]* data["尺寸检验_完全合格率"])/100, 2)
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except (decimal.InvalidOperation, ZeroDivisionError):
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data["外观检验_完全直通合格率"] = 0
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res = get_f_l_date(data)
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batchst.data = json.loads(json.dumps(data, cls=MyJSONEncoder))
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if batchst.first_time is None or (res["first_time"] and res["first_time"] < batchst.first_time):
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batchst.first_time = res["first_time"]
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if batchst.last_time is None or (res["last_time"] and res["last_time"] > batchst.last_time):
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batchst.last_time = res["last_time"]
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batchst.save()
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if __name__ == '__main__':
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pass |