factory/apps/inm/services_daoru.py

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from rest_framework.exceptions import ParseError
from apps.mtm.models import Process, Material
from apps.inm.models import WareHouse, MaterialBatch, MIOItem, MIOItemw, MIO
from apps.utils.tools import ranstr
from apps.mtm.services_2 import cal_material_count
def daoru_mb(path: str):
"""
导入物料批次(如没有物料自动创建)
"""
# 注释的是初次导入时做的数据矫正
# objs1 = Material.objects.filter(specification__contains=' ')
# for i in objs1:
# i.specification = i.specification.replace(' ', '')
# i.save()
# objs2 = Material.objects.filter(specification__contains='×')
# for i in objs2:
# i.specification = i.specification.replace('×', '*')
# i.save()
# objs3 = (Material.objects.filter(
# specification__contains='优级') | Material.objects.filter(specification__contains='一级')).exclude(specification__contains='|')
# for i in objs3:
# i.specification = i.specification.replace(
# '优级', '|优级').replace('一级', '|一级')
# i.save()
type_dict = {"主要原料": 30, "半成品": 20, "成品": 10, "辅助材料": 40, "加工工具": 50, "辅助工装": 60, "办公用品": 70}
from apps.utils.snowflake import idWorker
from openpyxl import load_workbook
wb = load_workbook(path)
process_l = Process.objects.all()
process_d = {p.name: p for p in process_l}
warehouse_l = WareHouse.objects.all()
warehouse_d = {w.name: w for w in warehouse_l}
for sheet in wb.worksheets:
i = 3
while sheet[f"a{i}"].value:
try:
type = type_dict[sheet[f"a{i}"].value.replace(" ", "")]
name = sheet[f"b{i}"].value.replace(" ", "")
specification = sheet[f"c{i}"].value.replace(" ", "")
if sheet[f"d{i}"].value and sheet[f"d{i}"].value.replace(" ", ""):
specification = specification + "|" + sheet[f"d{i}"].value.replace(" ", "")
model = sheet[f"e{i}"].value.replace(" ", "")
process = process_d[sheet[f"f{i}"].value.replace(" ", "")]
batch = sheet[f"g{i}"].value.replace(" ", "")
count = int(sheet[f"h{i}"].value)
warehouse = warehouse_d[sheet[f"i{i}"].value.replace(" ", "")]
except KeyError as e:
raise ParseError(f"{i}行数据有误:{str(e)}")
material, _ = Material.objects.get_or_create(
type=type,
name=name,
specification=specification,
model=model,
process=process,
defaults={"type": type, "name": name, "specification": specification, "model": model, "process": process, "number": ranstr(6), "id": idWorker.get_id()},
)
MaterialBatch.objects.get_or_create(
material=material, batch=batch, warehouse=warehouse, defaults={"material": material, "batch": batch, "warehouse": warehouse, "count": count, "id": idWorker.get_id()}
)
cal_material_count([material.id])
i = i + 1
def daoru_mioitem_test(path:str, mioitem:MIOItem):
from apps.utils.snowflake import idWorker
from openpyxl import load_workbook
from apps.qm.models import TestItem, Ftest, Qct, FtestItem, FtestDefect
qct = Qct.get(mioitem.material, tag="inm", type="in")
if qct is None:
raise ParseError("未找到检验表")
t_name_list = ["配套序号", "棒编号", "棒最大外径/mm", "锥度/mm", "管编号", "管最大内径/mm", "配合间隙"]
t_list = []
for name in t_name_list:
try:
t_list.append(TestItem.objects.get(name=name))
except TestItem.DoesNotExist:
raise ParseError(f"未找到检验项:{name}")
except TestItem.MultipleObjectsReturned:
raise ParseError(f"检验项重复:{name}")
test_user = mioitem.mio.mio_user
test_date = mioitem.mio.inout_date
wb = load_workbook(path, data_only=True)
if "Sheet1" in wb.sheetnames: # 检查是否存在
sheet = wb["Sheet1"] # 获取工作表
else:
raise ParseError("未找到Sheet1")
mioitemws = MIOItemw.objects.filter(mioitem=mioitem).order_by("number")
for ind, item in enumerate(mioitemws):
ftest:Ftest = item.ftest
if ftest is None:
ftest = Ftest.objects.create(
type="purin",
test_numer=item.number,
qct=qct,
test_user=test_user,
is_ok=True,
test_date=test_date)
item.ftest = ftest
item.save()
else:
FtestItem.objects.filter(ftest=ftest).delete()
FtestDefect.objects.filter(ftest=ftest).delete()
ftest.is_ok = True
ftest.defect_main = None
ftest.save()
i = ind + 4
if sheet[f"c{i}"].value:
ftestitems = []
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[0], test_val_json=sheet[f"b{i}"].value, test_user=test_user, id=idWorker.get_id()))
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[1], test_val_json=sheet[f"c{i}"].value, test_user=test_user, id=idWorker.get_id()))
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[2], test_val_json=sheet[f"e{i}"].value, test_user=test_user, id=idWorker.get_id()))
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[3], test_val_json=sheet[f"f{i}"].value, test_user=test_user, id=idWorker.get_id()))
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[4], test_val_json=sheet[f"g{i}"].value, test_user=test_user, id=idWorker.get_id()))
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[5], test_val_json=sheet[f"j{i}"].value, test_user=test_user, id=idWorker.get_id()))
ftestitems.append(FtestItem(ftest=ftest, testitem=t_list[6], test_val_json=sheet[f"k{i}"].value, test_user=test_user, id=idWorker.get_id()))
FtestItem.objects.bulk_create(ftestitems)
else:
break
def daoru_mioitems(path:str, mio:MIO):
from apps.utils.snowflake import idWorker
from openpyxl import load_workbook
wb = load_workbook(path, data_only=True)
if "Sheet1" in wb.sheetnames: # 检查是否存在
sheet = wb["Sheet1"] # 获取工作表
else:
raise ParseError("未找到Sheet1")
mioitems = []
ind = 2
while sheet[f"a{ind}"].value:
batch = sheet[f"b{ind}"].value
material_number = sheet[f"a{ind}"].value
try:
material = Material.objects.get(number=material_number)
except Exception as e:
raise ParseError(f"未找到物料:{material_number} {e}")
if not batch and material.bin_number_main:
batch = material.bin_number_main
else:
raise ParseError(f"{ind}行批次为空")
count = sheet[f"c{ind}"].value
warehouse_name = sheet[f"d{ind}"].value
try:
warehouse = WareHouse.objects.get(name=warehouse_name)
except Exception as e:
raise ParseError(f"未找到仓库:{warehouse_name} {e}")
mioitems.append(MIOItem(mio=mio, warehouse=warehouse, material=material, batch=batch, count=count, id=idWorker.get_id()))
ind = ind + 1
MIOItem.objects.bulk_create(mioitems)