132 lines
7.0 KiB
Python
132 lines
7.0 KiB
Python
from apps.wpm.models import BatchSt
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import logging
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from apps.qm.models import Defect
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from apps.wpm.models import Mlogb, MlogbDefect
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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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myLogger = logging.getLogger("log")
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def main(batch: str):
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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 None, None
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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, material_out__isnull=False, mlog__mgroup=mgroup, mlog__is_fix=False, batch=batch)
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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}_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_ok_full"] = 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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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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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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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:
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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:
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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"] = ";".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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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)
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if mlogb2_qs.exists():
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data["外观检验_返修_日期"] = []
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data["外观检验_返修_操作人"] = []
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data["外观检验_返修_count_real"] = 0
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data["外观检验_返修_count_ok"] = 0
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data["外观检验_返修_count_ok_full"] = 0
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for item in mlogb2_qs:
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if item.mlog.handle_user:
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data["外观检验_返修_操作人"].append(item.mlog.handle_user)
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if item.mlog.handle_date:
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data["外观检验_返修_日期"].append(item.mlog.handle_date)
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data["外观检验_返修_count_real"] += item.count_real
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data["外观检验_返修_count_ok"] += item.count_ok
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data["外观检验_返修_count_ok_full"] += item.count_ok_full if item.count_ok_full else 0
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data["外观检验_返修_日期"] = list(set(data["外观检验_返修_日期"]))
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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"]])
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data["外观检验_返修_操作人"] = list(set(data["外观检验_返修_操作人"]))
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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"]])
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mlogbd2_qs = MlogbDefect.objects.filter(mlogb__in=mlogb2_qs, count__gt=0).values("defect__name").annotate(total=Sum("count"))
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for item in mlogbd2_qs:
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data[f"外观检验_返修_缺陷_{item['defect__name']}"] = item["total"]
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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)
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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"] + data["外观检验_返修_count_ok"] if "外观检验_返修_count_ok" in data else 0
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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:
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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"] + data["外观检验_返修_count_ok_full"] if "外观检验_返修_count_ok_full" in data else 0
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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:
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data["外观检验_完全总合格率"] = 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:
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data["外观检验_直通合格率"] = 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:
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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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return data, res
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if __name__ == '__main__':
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pass |