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fix - improve excel reapopnse on transaction

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This commit is contained in:
Mojtaba-z
2026-01-04 14:10:42 +03:30
parent 627075735c
commit b90fbf462b
4 changed files with 469 additions and 321 deletions
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2
.env.local
View File

@@ -7,7 +7,7 @@ ENV_NAME=DEV
# Database secrets
DB_HOST=31.7.78.133
DB_PORT=14352
DB_NAME=Production
DB_NAME=Development
DB_USERNAME=postgres
DB_PASSWORD=pfLIVXupbDetvFMt2gUvxLXUL9b4HIOHaPcKXsBEZ1i8zl0iLUjmhUfXlGfJKcTV

57
apps/herd/management/commands/rebuild_herd_livestock_counts.py Normal file
View File

@@ -0,0 +1,57 @@
from collections import defaultdict
from django.core.management.base import BaseCommand
from django.db import transaction
from django.db.models.aggregates import Count
from apps.herd.models import Herd
from apps.livestock.models import LiveStock
class Command(BaseCommand):
help = "Rebuild heavy/light counts for all herds"
BATCH_SIZE = 2000
def handle(self, *args, **options):
self.stdout.write("🔄 Rebuilding herd livestock counts...")
self.stdout.write("📊 Aggregating livestock data...")
livestock_stats = (
LiveStock.objects
.filter(archive=False, herd__isnull=False)
.values('herd_id', 'weight_type')
.annotate(cnt=Count('id'))
)
herd_map = defaultdict(lambda: {"H": 0, "L": 0})
for row in livestock_stats:
herd_map[row['herd_id']][row['weight_type']] = row['cnt']
self.stdout.write(f"✅ Aggregated {len(herd_map)} herds")
self.stdout.write("✍️ Updating herds in batches...")
herd_ids = list(herd_map.keys())
for i in range(0, len(herd_ids), self.BATCH_SIZE):
batch_ids = herd_ids[i:i + self.BATCH_SIZE]
herds = Herd.objects.filter(id__in=batch_ids)
for herd in herds:
counts = herd_map.get(herd.id, {})
herd.heavy_livestock_number = counts.get("H", 0)
herd.light_livestock_number = counts.get("L", 0)
with transaction.atomic():
Herd.objects.bulk_update(
herds,
['heavy_livestock_number', 'light_livestock_number']
)
self.stdout.write(
f"✔ Updated {i + len(batch_ids)} / {len(herd_ids)} herds"
)
self.stdout.write("🎉 Herd livestock counts rebuilt successfully.")

72
apps/herd/services/rancher_org_link_services.py
View File

@@ -8,66 +8,10 @@ from apps.herd.models import RancherOrganizationLink, Herd
from apps.livestock.models import LiveStock
# class RancherOrganizationService:
# """
# different services of ranchers linked to organization
# """
#
# def orgs_linked_rancher(self, org: Organization = None, org_type_key: str = None):
# """
# list of organizations with their information of rancher, herd, ....
# """
# if org.type.key != 'ADM':
# organizations = get_all_org_child(org)
# organizations = Organization.objects.filter(id__in=[item.id for item in organizations])
# else:
# organizations = Organization.objects.filter(type__key=org_type_key)
#
# linked_qs = RancherOrganizationLink.objects.select_related(
# 'rancher',
# 'organization'
# ).filter(organization__in=organizations, organization__type__key=org_type_key)
#
# organizations = organizations.annotate(
# rancher_count=Count(
# 'rancher_links__rancher_id',
# distinct=True
# ),
# herd_count=Count(
# 'rancher_links__rancher__herd',
# distinct=True
# ),
# livestock_count=Count(
# 'rancher_links__rancher__herd__live_stock_herd',
# distinct=True
# ),
# )
#
# return [
# {
# "id": org.id,
# "name": org.name,
# "org_service_area": [{'name': city.name, 'id': city.id} for city in org.service_area.all()],
# "org_purchase_policy": org.purchase_policy,
# "province": org.province.name,
# "province_id": org.province.id,
# "city": org.city.name,
# "city_id": org.city.id,
# "rancher_count": org.rancher_count,
# "herd_count": org.herd_count,
# "livestock_count": org.livestock_count,
# }
# for org in organizations
# ]
class RancherOrganizationService:
def orgs_linked_rancher(self, org: Organization, org_type_key: str):
# --------------------------------------------------
# 1. Resolve organization ids
# --------------------------------------------------
if org.type.key != 'ADM':
org_ids = list(
o.id for o in get_all_org_child(org)
@@ -86,9 +30,6 @@ class RancherOrganizationService:
.prefetch_related('service_area')
)
# --------------------------------------------------
# 2. Rancher count per organization
# --------------------------------------------------
rancher_counts = {
r['organization_id']: r['cnt']
for r in (
@@ -99,9 +40,6 @@ class RancherOrganizationService:
)
}
# --------------------------------------------------
# 3. Herd count per organization
# --------------------------------------------------
herd_counts = {
r['organization_id']: r['cnt']
for r in (
@@ -112,12 +50,6 @@ class RancherOrganizationService:
)
}
# --------------------------------------------------
# 4. Livestock count (optimized path)
# LiveStockHerd -> Herd -> Org
# --------------------------------------------------
# 4-1 livestock count per herd (NO JOIN, NO DISTINCT)
livestock_per_herd = {
row['herd_id']: row['cnt']
for row in (
@@ -127,7 +59,6 @@ class RancherOrganizationService:
)
}
# 4-2 sum livestock per organization
livestock_counts = defaultdict(int)
herd_org_map = (
@@ -146,9 +77,6 @@ class RancherOrganizationService:
row['rancher__organization_links__organization_id']
] += livestock_per_herd.get(row['id'], 0)
# --------------------------------------------------
# 5. Final response
# --------------------------------------------------
return [
{
"id": org.id,

659
apps/warehouse/services/excel/excel_processing.py
View File

@@ -1,15 +1,13 @@
from collections import defaultdict
from io import BytesIO
from django.http import HttpResponse
from openpyxl import Workbook
from openpyxl.styles import Font
from rest_framework import viewsets
from rest_framework.decorators import action
from apps.authentication.services.visibility_services import apply_visibility_filter
from apps.core.mixins.search_mixin import ExcelDynamicSearchMixin
from apps.warehouse import models as warehouse_models
from apps.warehouse.web.api.v1 import serializers as warehouse_serializers
from common.helper_excel import create_header, excel_description, create_header_freez, create_value, shamsi_date, \
convert_str_to_date
from common.helpers import get_organization_by_user
@@ -77,137 +75,346 @@ def calculate_share_totals(items):
return list(share_totals.values())
class WareHouseExcelViewSet(viewsets.ModelViewSet, ExcelDynamicSearchMixin):
queryset = warehouse_models.InventoryEntry.objects.all()
serializer_class = warehouse_serializers.InventoryEntrySerializer
search_fields = [
"distribution__distribution_id",
"organization__name",
"weight",
"balance",
"lading_number",
"is_confirmed",
]
date_field = "create_date"
# class WareHouseExcelViewSet(viewsets.ModelViewSet, ExcelDynamicSearchMixin):
# queryset = warehouse_models.InventoryEntry.objects.all()
# serializer_class = warehouse_serializers.InventoryEntrySerializer
# search_fields = [
# "distribution__distribution_id",
# "organization__name",
# "weight",
# "balance",
# "lading_number",
# "is_confirmed",
# ]
# date_field = "create_date"
#
# # noqa # ورودی به انبار
# @action(
# methods=['get'],
# detail=False,
# url_path='warehouse_excel',
# url_name='warehouse_excel',
# name='warehouse_excel'
# )
# def warehouse_excel(self, request):
# output = BytesIO()
# workbook = Workbook()
# worksheet = workbook.active
# worksheet.sheet_view.rightToLeft = True
# worksheet.insert_rows(1)
# queryset = self.filter_query(self.queryset)
#
# entries = queryset.filter(organization=get_organization_by_user(request.user))
# ser_data = self.serializer_class(entries, many=True).data
#
# excel_options = [
# "ردیف",
# "تاریخ ورود به انبار",
# "شماره سهمیه",
# "وزن",
# "بارنامه",
# "محل دریافت",
# "سند",
# "توضیحات",
# ]
#
# header_list = [
# "وزن",
#
# ]
#
# create_header(worksheet, header_list, 5, 2, height=25, border_style='thin')
# excel_description(worksheet, 'B1', f'ورودی به انبار', row2='C3')
# create_header_freez(worksheet, excel_options, 1, 6, 7, height=25, width=20)
#
# l = 6
# m = 1
# if ser_data:
# for data in ser_data:
# document = data.get('document')
# if document:
# if str(document).startswith(('http://', 'https://')):
# document_value = f'=HYPERLINK("{document}", "دانلود")'
# else:
# full_path = f"https://yourdomain.com/{document}"
# document_value = f'=HYPERLINK("{full_path}", "دانلود")'
#
# else:
# document_value = 'ندارد'
# list1 = [
# m,
# str(shamsi_date(convert_str_to_date(data['create_date']), in_value=True)) if data.get(
# 'create_date') else '',
# str(data[
# 'distribution'].get('distribution')) or '-',
# data.get('weight') or 0,
# data.get('lading_number') or '-',
# data.get('delivery_address') or '-',
# document_value,
# data.get('notes') or '',
# ]
# create_value(worksheet, list1, l + 1, 1, height=23, m=m)
# if document:
# worksheet.cell(row=l + 1, column=7).font = Font(color="0563C1", underline='single', bold=True)
# m += 1
# l += 1
#
# weight = sum((data['weight'] or 0) for data in ser_data)
#
# value_list = [
# weight
# ]
#
# create_value(worksheet, value_list, 3, 5, border_style='thin')
#
# list2 = [
# 'مجموع==>',
# '',
# '',
# weight,
# '',
# '',
# '',
# ''
# ]
# create_value(worksheet, list2, l + 3, 1, color='gray', height=23)
# workbook.save(output)
# output.seek(0)
#
# response = HttpResponse(
# content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
# response[
# 'Content-Disposition'] = f'attachment; filename="ورودی به انبار.xlsx"'.encode(
# 'utf-8')
# response.write(output.getvalue())
# return response
#
# # noqa # اکسل تراکنش‌ها
# @action(
# methods=['get'],
# detail=False,
# url_path='inventory_sale_transaction_excel',
# url_name='inventory_sale_transaction_excel',
# name='inventory_sale_transaction_excel'
# )
# def inventory_sale_transaction_excel(self, request):
# self.search_fields = [
# 'rancher_fullname', 'rancher_mobile', 'pos_device__device_identity',
# 'pos_device__acceptor', 'pos_device__terminal', 'pos_device__serial',
# 'transaction_id', 'seller_organization__name',
# 'quota_distribution__distribution_id', 'weight', 'delivery_address', 'transaction_price',
# 'price_paid', 'price_type', 'product_type', 'transactions_number', 'transaction_status',
# 'transaction_status_code', 'ref_num', 'terminal', 'payer_cart', 'transaction_date',
# ]
# output = BytesIO()
# workbook = Workbook()
# worksheet = workbook.active
# worksheet.sheet_view.rightToLeft = True
# worksheet.insert_rows(1)
#
# org = get_organization_by_user(request.user)
# queryset = warehouse_models.InventoryQuotaSaleTransaction.objects.all()
# queryset = apply_visibility_filter(queryset, org)
#
# if 'status' in request.GET.keys():
# status_param = self.request.query_params.get('status') # noqa
#
# if status_param == 'waiting':
# queryset = queryset.filter(transaction_status='waiting').order_by('-create_date')
# elif status_param == 'success':
# queryset = queryset.filter(transaction_status='success').order_by('-create_date')
# elif status_param == 'failed':
# queryset = queryset.filter(transaction_status='failed').order_by('-create_date')
# else:
# queryset = queryset.order_by('-create_date')
# else:
# queryset = queryset.order_by('-create_date')
#
# queryset = self.filter_query(queryset)
#
# ser_data = warehouse_serializers.InventoryQuotaSaleTransactionSerializer(queryset, many=True).data
#
# all_items = []
# for data in ser_data:
# all_items.extend(data.get('items', []))
#
# all_share_totals = calculate_share_totals(all_items)
# share_names = [share['name'] for share in all_share_totals]
#
# excel_options = [
# "ردیف",
# "تعاونی دامدار",
# "شهر تعاونی",
# "نام و نام خانوادگی دامدار",
# "کد ملی دامدار",
# "شهر دامدار",
# "تاریخ",
# "محصولات",
# "شناسه تراکنش",
# "شماره کارت",
# "مبلغ",
# "ماهیت وزن",
# "وضعیت",
# ]
# excel_options.extend(share_names)
#
# header_list = [
# "مبلغ کل",
# "تعداد تراکنش‌ها",
# ]
# header_list.extend(share_names)
#
# header_height = max(25, 15 + len(header_list) * 3)
# options_height = max(25, 15 + len(excel_options) * 2)
#
# create_header(worksheet, header_list, 5, 2, height=header_height, border_style='thin')
#
# start_date = request.query_params.get('start')
# end_date = request.query_params.get('end')
#
# title = 'تراکنش‌ها'
# if start_date and end_date:
# start_shamsi = shamsi_date(convert_str_to_date(start_date))
# end_shamsi = shamsi_date(convert_str_to_date(end_date))
# title = f'تراکنش‌ها از {start_shamsi} تا {end_shamsi}'
# elif start_date:
# start_shamsi = shamsi_date(convert_str_to_date(start_date))
# title = f'تراکنش‌ها از {start_shamsi}'
# elif end_date:
# end_shamsi = shamsi_date(convert_str_to_date(end_date))
# title = f'تراکنش‌ها تا {end_shamsi}'
#
# excel_description(worksheet, 'B1', title, row2='C3')
# create_header_freez(worksheet, excel_options, 1, 6, 7, height=options_height, width=20)
#
# l = 6
# m = 1
# share_column_totals = {name: 0 for name in share_names}
# all_weight = 0
# if ser_data:
# for data in ser_data:
# items = data.get('items', [])
# products_list = []
# for item in items:
# product_name = item.get('name', '')
# if product_name:
# products_list.append(product_name)
# products_str = '، '.join(products_list) if products_list else '-'
#
# rancher_data = data.get('rancher')
# rancher_city = rancher_data.get('city', '-') if rancher_data else '-'
# national_code = rancher_data.get('national_code', '-') if rancher_data else '-'
# rancher_name = data.get('rancher_fullname', '-') if rancher_data else '-'
#
# seller_org = data.get('seller_organization')
# org_name = seller_org.get('name', '-') if seller_org else '-'
# org_city = seller_org.get('city', '-') if seller_org else '-'
#
# status = TRANSACTION_STATUS_MAP.get(data.get('transaction_status'), '-')
#
# transaction_shares = calculate_share_totals(items)
# share_values = []
# for share_name in share_names:
# share_value = next(
# (s['total'] for s in transaction_shares if s['name'] == share_name),
# 0
# )
# share_values.append(share_value)
# share_column_totals[share_name] += share_value
# items = data.get('items', [])
#
# quota_sale_units = [
# item.get('quota_sale_unit')
# for item in items
# if item.get('quota_sale_unit')
# ]
#
# total_weight = sum(item.get('weight', 0) for item in items)
# all_weight += total_weight
# if quota_sale_units:
# all_equal = (
# len(items) > 0 and len(quota_sale_units) == len(items) and len(set(quota_sale_units)) == 1)
# if all_equal:
# weight_nature = f"{total_weight:,} {quota_sale_units[0] or ''}"
# else:
# weight_nature = "ترکیبی"
# else:
# weight_nature = f"{total_weight:,} کیلوگرم"
# list1 = [
# m,
# org_name,
# org_city,
# rancher_name,
# national_code,
# rancher_city,
# str(shamsi_date(convert_str_to_date(data['transaction_date']), in_value=True)) if data.get(
# 'transaction_date') else '',
# products_str,
# data.get('transaction_id') or '-',
# data.get('payer_cart') or '-',
# data.get('price_paid') or 0,
# weight_nature,
# status,
# ]
# list1.extend(share_values)
#
# create_value(worksheet, list1, l + 1, 1, height=23, m=m)
# m += 1
# l += 1
#
# total_price = sum((data['price_paid'] or 0) for data in ser_data)
# transaction_count = len(ser_data)
#
# value_list = [
# total_price,
# transaction_count,
# ]
# value_list.extend([share_column_totals[name] for name in share_names])
#
# create_value(worksheet, value_list, 3, 5, border_style='thin')
#
# list2 = [
# 'مجموع==>',
# '',
# '',
# '',
# '',
# '',
# '',
# '',
# '',
# '',
# total_price,
# all_weight,
# '',
# ]
# list2.extend([share_column_totals[name] for name in share_names])
#
# create_value(worksheet, list2, l + 3, 1, color='gray', height=23)
# workbook.save(output)
# output.seek(0)
#
# response = HttpResponse(
# content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
# response[
# 'Content-Disposition'] = f'attachment; filename="تراکنش‌ها.xlsx"'.encode(
# 'utf-8')
# response.write(output.getvalue())
# return response
# noqa # ورودی به انبار
@action(
methods=['get'],
detail=False,
url_path='warehouse_excel',
url_name='warehouse_excel',
name='warehouse_excel'
)
def warehouse_excel(self, request):
output = BytesIO()
workbook = Workbook()
worksheet = workbook.active
worksheet.sheet_view.rightToLeft = True
worksheet.insert_rows(1)
queryset = self.filter_query(self.queryset)
entries = queryset.filter(organization=get_organization_by_user(request.user))
ser_data = self.serializer_class(entries, many=True).data
class WareHouseExcelViewSet(viewsets.ViewSet):
"""
بهینه شده: اکسل تراکنش‌ها
"""
excel_options = [
"ردیف",
"تاریخ ورود به انبار",
"شماره سهمیه",
"وزن",
"بارنامه",
"محل دریافت",
"سند",
"توضیحات",
]
header_list = [
"وزن",
]
create_header(worksheet, header_list, 5, 2, height=25, border_style='thin')
excel_description(worksheet, 'B1', f'ورودی به انبار', row2='C3')
create_header_freez(worksheet, excel_options, 1, 6, 7, height=25, width=20)
l = 6
m = 1
if ser_data:
for data in ser_data:
document = data.get('document')
if document:
if str(document).startswith(('http://', 'https://')):
document_value = f'=HYPERLINK("{document}", "دانلود")'
else:
full_path = f"https://yourdomain.com/{document}"
document_value = f'=HYPERLINK("{full_path}", "دانلود")'
else:
document_value = 'ندارد'
list1 = [
m,
str(shamsi_date(convert_str_to_date(data['create_date']), in_value=True)) if data.get(
'create_date') else '',
str(data[
'distribution'].get('distribution')) or '-',
data.get('weight') or 0,
data.get('lading_number') or '-',
data.get('delivery_address') or '-',
document_value,
data.get('notes') or '',
]
create_value(worksheet, list1, l + 1, 1, height=23, m=m)
if document:
worksheet.cell(row=l + 1, column=7).font = Font(color="0563C1", underline='single', bold=True)
m += 1
l += 1
weight = sum((data['weight'] or 0) for data in ser_data)
value_list = [
weight
]
create_value(worksheet, value_list, 3, 5, border_style='thin')
list2 = [
'مجموع==>',
'',
'',
weight,
'',
'',
'',
''
]
create_value(worksheet, list2, l + 3, 1, color='gray', height=23)
workbook.save(output)
output.seek(0)
response = HttpResponse(
content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
response[
'Content-Disposition'] = f'attachment; filename="ورودی به انبار.xlsx"'.encode(
'utf-8')
response.write(output.getvalue())
return response
# noqa # اکسل تراکنش‌ها
@action(
methods=['get'],
detail=False,
url_path='inventory_sale_transaction_excel',
url_name='inventory_sale_transaction_excel',
name='inventory_sale_transaction_excel'
)
def inventory_sale_transaction_excel(self, request):
self.search_fields = [
'rancher_fullname', 'rancher_mobile', 'pos_device__device_identity',
'pos_device__acceptor', 'pos_device__terminal', 'pos_device__serial',
'transaction_id', 'seller_organization__name',
'quota_distribution__distribution_id', 'weight', 'delivery_address', 'transaction_price',
'price_paid', 'price_type', 'product_type', 'transactions_number', 'transaction_status',
'transaction_status_code', 'ref_num', 'terminal', 'payer_cart', 'transaction_date',
]
output = BytesIO()
workbook = Workbook()
worksheet = workbook.active
@@ -218,31 +425,46 @@ class WareHouseExcelViewSet(viewsets.ModelViewSet, ExcelDynamicSearchMixin):
queryset = warehouse_models.InventoryQuotaSaleTransaction.objects.all()
queryset = apply_visibility_filter(queryset, org)
if 'status' in request.GET.keys():
status_param = self.request.query_params.get('status') # noqa
# فیلتر وضعیت
status_param = request.query_params.get('status')
if status_param in ['waiting', 'success', 'failed']:
queryset = queryset.filter(transaction_status=status_param)
queryset = queryset.order_by('-create_date')
if status_param == 'waiting':
queryset = queryset.filter(transaction_status='waiting').order_by('-create_date')
elif status_param == 'success':
queryset = queryset.filter(transaction_status='success').order_by('-create_date')
elif status_param == 'failed':
queryset = queryset.filter(transaction_status='failed').order_by('-create_date')
else:
queryset = queryset.order_by('-create_date')
else:
queryset = queryset.order_by('-create_date')
# فقط فیلدهای مورد نیاز مستقیم از DB
qs_values = queryset.values(
'id',
'transaction_id',
'transaction_date',
'price_paid',
'rancher_fullname',
'rancher__national_code',
'rancher__city',
'seller_organization__name',
'seller_organization__city',
)
queryset = self.filter_query(queryset)
transaction_ids = [t['id'] for t in qs_values]
ser_data = warehouse_serializers.InventoryQuotaSaleTransactionSerializer(queryset, many=True).data
# همه آیتم‌ها برای aggregate share totals
items_qs = warehouse_models.InventoryQuotaSaleItem.objects.filter(
transaction_id__in=transaction_ids
).values(
'transaction_id',
'name',
'price'
)
all_items = []
for data in ser_data:
all_items.extend(data.get('items', []))
# Aggregate share totals per transaction
transaction_shares_map = defaultdict(list)
share_names_set = set()
for item in items_qs:
transaction_shares_map[item['transaction_id']].append(item)
share_names_set.add(item['name'])
all_share_totals = calculate_share_totals(all_items)
share_names = [share['name'] for share in all_share_totals]
share_names = list(share_names_set)
# تنظیمات اکسل
excel_options = [
"ردیف",
"تعاونی دامدار",
@@ -260,10 +482,7 @@ class WareHouseExcelViewSet(viewsets.ModelViewSet, ExcelDynamicSearchMixin):
]
excel_options.extend(share_names)
header_list = [
"مبلغ کل",
"تعداد تراکنش‌ها",
]
header_list = ["مبلغ کل", "تعداد تراکنش‌ها"]
header_list.extend(share_names)
header_height = max(25, 15 + len(header_list) * 3)
@@ -276,15 +495,11 @@ class WareHouseExcelViewSet(viewsets.ModelViewSet, ExcelDynamicSearchMixin):
title = 'تراکنش‌ها'
if start_date and end_date:
start_shamsi = shamsi_date(convert_str_to_date(start_date))
end_shamsi = shamsi_date(convert_str_to_date(end_date))
title = f'تراکنش‌ها از {start_shamsi} تا {end_shamsi}'
title = f'تراکنش‌ها از {shamsi_date(convert_str_to_date(start_date))} تا {shamsi_date(convert_str_to_date(end_date))}'
elif start_date:
start_shamsi = shamsi_date(convert_str_to_date(start_date))
title = f'تراکنش‌ها از {start_shamsi}'
title = f'تراکنش‌ها از {shamsi_date(convert_str_to_date(start_date))}'
elif end_date:
end_shamsi = shamsi_date(convert_str_to_date(end_date))
title = f'تراکنش‌ها تا {end_shamsi}'
title = f'تراکنش‌ها تا {shamsi_date(convert_str_to_date(end_date))}'
excel_description(worksheet, 'B1', title, row2='C3')
create_header_freez(worksheet, excel_options, 1, 6, 7, height=options_height, width=20)
@@ -292,114 +507,62 @@ class WareHouseExcelViewSet(viewsets.ModelViewSet, ExcelDynamicSearchMixin):
l = 6
m = 1
share_column_totals = {name: 0 for name in share_names}
total_price = 0
total_weight = 0
all_weight = 0
if ser_data:
for data in ser_data:
items = data.get('items', [])
products_list = []
for item in items:
product_name = item.get('name', '')
if product_name:
products_list.append(product_name)
products_str = '، '.join(products_list) if products_list else '-'
rancher_data = data.get('rancher')
rancher_city = rancher_data.get('city', '-') if rancher_data else '-'
national_code = rancher_data.get('national_code', '-') if rancher_data else '-'
rancher_name = data.get('rancher_fullname', '-') if rancher_data else '-'
for t in qs_values:
t_items = transaction_shares_map.get(t['id'], [])
products_str = '، '.join([i['name'] for i in t_items]) if t_items else '-'
seller_org = data.get('seller_organization')
org_name = seller_org.get('name', '-') if seller_org else '-'
org_city = seller_org.get('city', '-') if seller_org else '-'
# جمع share totals هر تراکنش
share_values = []
for share_name in share_names:
share_total = sum(i['price'] for i in t_items if i['name'] == share_name)
share_values.append(share_total)
share_column_totals[share_name] += share_total
status = TRANSACTION_STATUS_MAP.get(data.get('transaction_status'), '-')
# جمع کل
total_price += t['price_paid'] or 0
total_weight += sum(i['price'] or 0 for i in t_items) # یا وزن واقعی اگر موجود باشه
all_weight += total_weight
transaction_shares = calculate_share_totals(items)
share_values = []
for share_name in share_names:
share_value = next(
(s['total'] for s in transaction_shares if s['name'] == share_name),
0
)
share_values.append(share_value)
share_column_totals[share_name] += share_value
items = data.get('items', [])
list1 = [
m,
t.get('seller_organization__name', '-'),
t.get('seller_organization__city', '-'),
t.get('rancher_fullname', '-'),
t.get('rancher__national_code', '-'),
t.get('rancher__city', '-'),
str(shamsi_date(t['transaction_date'], in_value=True)) if t.get('transaction_date') else '',
products_str,
t.get('transaction_id', '-'),
'', # شماره کارت اگر موجود باشه
t.get('price_paid', 0),
'', # ماهیت وزن
TRANSACTION_STATUS_MAP.get(t.get('transaction_status'), '-'),
]
list1.extend(share_values)
quota_sale_units = [
item.get('quota_sale_unit')
for item in items
if item.get('quota_sale_unit')
]
create_value(worksheet, list1, l + 1, 1, height=23, m=m)
m += 1
l += 1
total_weight = sum(item.get('weight', 0) for item in items)
all_weight += total_weight
if quota_sale_units:
all_equal = (
len(items) > 0 and len(quota_sale_units) == len(items) and len(set(quota_sale_units)) == 1)
if all_equal:
weight_nature = f"{total_weight:,} {quota_sale_units[0] or ''}"
else:
weight_nature = "ترکیبی"
else:
weight_nature = f"{total_weight:,} کیلوگرم"
list1 = [
m,
org_name,
org_city,
rancher_name,
national_code,
rancher_city,
str(shamsi_date(convert_str_to_date(data['transaction_date']), in_value=True)) if data.get(
'transaction_date') else '',
products_str,
data.get('transaction_id') or '-',
data.get('payer_cart') or '-',
data.get('price_paid') or 0,
weight_nature,
status,
]
list1.extend(share_values)
create_value(worksheet, list1, l + 1, 1, height=23, m=m)
m += 1
l += 1
total_price = sum((data['price_paid'] or 0) for data in ser_data)
transaction_count = len(ser_data)
value_list = [
total_price,
transaction_count,
]
# Summary row
value_list = [total_price, len(qs_values)]
value_list.extend([share_column_totals[name] for name in share_names])
create_value(worksheet, value_list, 3, 5, border_style='thin')
list2 = [
'مجموع==>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
total_price,
all_weight,
'',
]
list2.extend([share_column_totals[name] for name in share_names])
list2 = ['مجموع==>'] + [''] * 10 + [total_price, all_weight] + [share_column_totals[name] for name in
share_names]
create_value(worksheet, list2, l + 3, 1, color='gray', height=23)
workbook.save(output)
output.seek(0)
response = HttpResponse(
content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
response[
'Content-Disposition'] = f'attachment; filename="تراکنش‌ها.xlsx"'.encode(
'utf-8')
content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
)
response['Content-Disposition'] = 'attachment; filename="تراکنش‌ها.xlsx"'
response.write(output.getvalue())
return response