185 lines
10 KiB
Python
185 lines
10 KiB
Python
from apps.wpm.models import BatchSt
|
|
import logging
|
|
from apps.qm.models import Defect, FtestWork, FtestworkDefect
|
|
from apps.wpm.models import Mlogb, MlogbDefect
|
|
from apps.mtm.models import Mgroup
|
|
import decimal
|
|
from django.db.models import Sum
|
|
from datetime import datetime
|
|
from apps.wpm.services_2 import get_f_l_date
|
|
import json
|
|
from apps.utils.tools import MyJSONEncoder
|
|
myLogger = logging.getLogger("log")
|
|
|
|
def main(batch: str, mgroup_obj):
|
|
try:
|
|
batchst = BatchSt.objects.get(batch=batch, version=1)
|
|
except BatchSt.DoesNotExist:
|
|
myLogger.error(f"Batch {batch} does not exist")
|
|
return
|
|
|
|
data = {"批次号": batch}
|
|
|
|
mgroup_qs = Mgroup.objects.all().order_by("sort")
|
|
for mgroup in mgroup_qs:
|
|
mgroup_name = mgroup.name
|
|
mlogb1_qs = Mlogb.objects.filter(mlog__submit_time__isnull=False,
|
|
material_out__isnull=False, mlog__mgroup=mgroup,
|
|
mlog__is_fix=False, batch=batch, need_inout=True)
|
|
if mlogb1_qs.exists():
|
|
data[f"{mgroup_name}_日期"] = []
|
|
data[f"{mgroup_name}_操作人"] = []
|
|
data[f"{mgroup_name}_班次"] = []
|
|
data[f"{mgroup_name}_count_use"] = 0
|
|
data[f"{mgroup_name}_count_real"] = 0
|
|
data[f"{mgroup_name}_count_ok"] = 0
|
|
data[f"{mgroup_name}_count_notok"] = 0
|
|
data[f"{mgroup_name}_count_ok_full"] = 0
|
|
data[f"{mgroup_name}_count_pn_jgqbl"] = 0
|
|
mlogb_q_ids = []
|
|
for item in mlogb1_qs:
|
|
# 找到对应的输入
|
|
mlogb_from:Mlogb = item.mlogb_from
|
|
if mlogb_from:
|
|
mlogb_q_ids.append(mlogb_from.id)
|
|
data[f"{mgroup_name}_count_use"] += mlogb_from.count_use
|
|
data[f"{mgroup_name}_count_pn_jgqbl"] += mlogb_from.count_pn_jgqbl
|
|
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)
|
|
if item.mlog.shift:
|
|
data[f"{mgroup_name}_班次"].append(item.mlog.shift.name)
|
|
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 if item.count_ok_full else 0
|
|
data[f"{mgroup_name}_count_notok"] += item.count_notok if item.count_notok else 0
|
|
|
|
try:
|
|
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)
|
|
except decimal.InvalidOperation:
|
|
data[f"{mgroup_name}_完全合格率"] = 0
|
|
|
|
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"))
|
|
mlogbd1_q_qs = MlogbDefect.objects.filter(mlogb__id__in=mlogb_q_ids, count__gt=0).values("defect__name").annotate(total=Sum("count"))
|
|
|
|
for item in mlogbd1_q_qs:
|
|
data[f"{mgroup_name}_加工前_缺陷_{item['defect__name']}"] = item["total"]
|
|
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)
|
|
|
|
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"].sort()
|
|
data[f"{mgroup_name}_小日期"] = max(data[f"{mgroup_name}_日期"]).strftime("%Y-%m-%d")
|
|
data[f"{mgroup_name}_大日期"] = min(data[f"{mgroup_name}_日期"]).strftime("%Y-%m-%d")
|
|
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"]])
|
|
data[f"{mgroup_name}_班次"] = list(set(data[f"{mgroup_name}_班次"]))
|
|
data[f"{mgroup_name}_班次"] = ";".join([item for item in data[f"{mgroup_name}_班次"]])
|
|
|
|
|
|
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, need_inout=True)
|
|
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 if item.count_ok_full else 0
|
|
|
|
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)
|
|
|
|
# 车间库存抽检
|
|
ft_qs = FtestWork.objects.filter(type2=FtestWork.TYPE2_SOME, wm__mgroup__name="外观检验", batch=batch, submit_time__isnull=False)
|
|
if ft_qs.exists():
|
|
data["外观检验_车间库存抽检_日期"] = []
|
|
data["外观检验_车间库存抽检_操作人"] = []
|
|
data["外观检验_车间库存抽检_count_notok"] = 0
|
|
for item in ft_qs:
|
|
if item.test_user:
|
|
data["外观检验_车间库存抽检_操作人"].append(item.test_user)
|
|
if item.test_date:
|
|
data["外观检验_车间库存抽检_日期"].append(item.test_date)
|
|
data["外观检验_车间库存抽检_count_notok"] += item.count_notok if item.count_notok else 0
|
|
|
|
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"]))
|
|
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"]])
|
|
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"]))
|
|
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"]])
|
|
|
|
# 车间库存抽检缺陷
|
|
ftd_qs = FtestworkDefect.objects.filter(ftestwork__in=ft_qs, count__gt=0).values("defect__name").annotate(total=Sum("count"))
|
|
for item in ftd_qs:
|
|
data[f"外观检验_车间库存抽检_缺陷_{item['defect__name']}"] = item["total"]
|
|
|
|
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.get("外观检验_返修_count_ok", 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
|
|
|
|
data["外观检验_完全总合格数"] = data["外观检验_count_ok_full"] + data.get("外观检验_返修_count_ok_full", 0)
|
|
try:
|
|
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)
|
|
except decimal.InvalidOperation:
|
|
data["外观检验_完全总合格率"] = 0
|
|
|
|
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)
|
|
if "尺寸检验_合格率" in data:
|
|
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
|
|
|
|
try:
|
|
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)
|
|
except decimal.InvalidOperation:
|
|
data["外观检验_直通合格率2"] = 0
|
|
|
|
if "尺寸检验_完全合格率" in data:
|
|
try:
|
|
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)
|
|
except decimal.InvalidOperation:
|
|
data["外观检验_完全直通合格率"] = 0
|
|
|
|
res = get_f_l_date(data)
|
|
|
|
|
|
batchst.data = json.loads(json.dumps(data, cls=MyJSONEncoder))
|
|
if batchst.first_time is None or (res["first_time"] and res["first_time"] < batchst.first_time):
|
|
batchst.first_time = res["first_time"]
|
|
if batchst.last_time is None or (res["last_time"] and res["last_time"] > batchst.last_time):
|
|
batchst.last_time = res["last_time"]
|
|
batchst.save()
|
|
|
|
if __name__ == '__main__':
|
|
pass |