91 lines
3.6 KiB
Python
91 lines
3.6 KiB
Python
from rest_framework.views import APIView
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from rest_framework.response import Response
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from rest_framework.exceptions import ParseError
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from drf_yasg.utils import swagger_auto_schema
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from apps.mtm.models import Mgroup
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from apps.wpm.serializers import BatchMgroupSerializer
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from apps.wpm.models import WMaterial, Mlogb
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from django.db.models import Q, Sum, F, ExpressionWrapper
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from collections import defaultdict
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from apps.mtm.models import Material
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class BatchWorkView(APIView):
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perms_map = {"post": "*"}
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@swagger_auto_schema(
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operation_summary='工段批次加工进度',
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request_body=BatchMgroupSerializer,
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responses={200: []},
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)
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def post(self, request):
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sr = BatchMgroupSerializer(data=request.data)
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sr.is_valid(raise_exception=True)
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vdata = sr.validated_data
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try:
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mgroup:Mgroup = Mgroup.objects.get(name=vdata['mgroup_name'])
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except Exception:
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raise ParseError(f"获取工段信息失败-{vdata['mgroup_name']}")
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matinIds = mgroup.process.get_canin_mat_ids()
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# 待加工的批次
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wm_qs = WMaterial.objects.filter(mgroup=mgroup, count__gt=0)
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wm_todo_qs = wm_qs.filter(material__id__in=matinIds).exclude(state=WMaterial.WM_REPAIRED)|wm_qs.filter(state=WMaterial.WM_REPAIR, mgroup=mgroup)
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wm_v = wm_todo_qs.order_by("batch").values("count", "batch", wmid=F("id"))
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# 对应的操作子日志投入
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mlogb_qs = Mlogb.objects.filter(mlog__mgroup=mgroup, wm_in__in=wm_todo_qs)
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mlogb_qs_v = mlogb_qs.values("count_use", "mlog__submit_time", wmid=F("wm_in__id"))
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# 对应的操作子日志产出
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mlogb_qs2 = Mlogb.objects.filter(mlogb_from__in=mlogb_qs)
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mlogb_qs2_v = mlogb_qs2.values("count_real", "count_ok", "mlog__submit_time", wmid=F("mlogb_from__wm_in__id"))
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# 1. 处理wm_v - 原始物料数据
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wm_dict = {item['wmid']: {'count': item['count'], 'batch': item['batch']} for item in wm_v}
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# 2. 处理mlogb_qs_v - 物料使用数据
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use_dict = defaultdict(lambda: {'count_use': 0, 'count_use_submit': 0, 'count_use_unsubmit': 0})
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for item in mlogb_qs_v:
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wmid = item['wmid']
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if item['mlog__submit_time']:
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use_dict[wmid]['count_use_submit'] += item['count_use']
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else:
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use_dict[wmid]['count_use_unsubmit'] += item['count_use']
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use_dict[wmid]['count_use'] += item['count_use']
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# 3. 处理mlogb_qs2_v - 物料产出数据
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output_dict = defaultdict(lambda: {'count_real': 0, 'count_ok': 0})
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for item in mlogb_qs2_v:
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if item['mlog__submit_time']: # 只统计已提交的记录
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wmid = item['wmid']
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output_dict[wmid]['count_real'] += item['count_real']
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output_dict[wmid]['count_ok'] += item['count_ok']
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# 合并所有数据
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result = []
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for wmid, wm_data in wm_dict.items():
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use_data = use_dict.get(wmid, {})
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output_data = output_dict.get(wmid, {})
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count = wm_data['count']
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row = {
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'wmid': wmid,
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'batch': wm_data['batch'],
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'count_todo': count - use_data.get('count_use_unsubmit', 0),
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'count_working': use_data.get('count_use_unsubmit', 0),
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'count_real': output_data.get('count_real', 0),
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'count_ok': output_data.get('count_ok', 0),
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'count': count
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}
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result.append(row)
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return Response(result)
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