76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
from django.db import models
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from django.db.models import Sum, Count, Q
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from django.db.models.functions import Coalesce
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from apps.authentication.models import Organization
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from apps.authentication.services.service import get_all_org_child
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from apps.core.services.filter.search import DynamicSearchService
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from apps.product.models import OrganizationQuotaStats
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class QuotaDashboardService:
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"""
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dashboard of quota information
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"""
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@staticmethod
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def get_dashboard(self, org: Organization, start_date: str = None, end_date: str = None,
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search_fields: list[str] = None):
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orgs_child = get_all_org_child(org=org)
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orgs_child.append(org)
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if org.type.key == 'ADM':
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org_quota_stats = OrganizationQuotaStats.objects.all()
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else:
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org_quota_stats = OrganizationQuotaStats.objects.filter(
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organization__in=orgs_child
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)
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# filter queryset (transactions & items) by date
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if start_date and end_date:
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org_quota_stats = DynamicSearchService(
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queryset=org_quota_stats,
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start=start_date,
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end=end_date,
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date_field="create_date",
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search_fields=search_fields
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).apply()
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org_quota_stats = org_quota_stats.aggregate(
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total_quotas=Count("quota", distinct=True),
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total_distributed=Coalesce(Sum("total_distributed", ), 0),
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remaining_amount=Coalesce(Sum("remaining_amount", ), 0),
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inventory_received=Coalesce(Sum("inventory_received", ), 0),
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sold_amount=Coalesce(Sum("sold_amount", ), 0),
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total_amount=Coalesce(Sum("total_amount", ), 0),
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inventory_entry_balance=Coalesce(Sum("inventory_entry_balance", ), 0),
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)
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return {
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"quotas_summary": org_quota_stats,
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}
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@staticmethod
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def get_dashboard_by_product(self, organization: Organization, products: list[int]):
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stat_by_prod = []
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for prod in products:
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org_quota_stat = OrganizationQuotaStats.objects.filter(
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organization=organization,
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quota__product_id=prod
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)
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product_stat_data = org_quota_stat.aggregate(
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quotas_count=Count('id'),
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total_quotas_weight=models.Sum('total_amount'),
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active_quotas_weight=models.Sum('active_quotas_weight', filter=Q(quota__is_closed=False)),
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closed_quotas_weight=models.Sum('closed_quotas_weight', filter=Q(quota__is_closed=True)),
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total_remaining_quotas_weight=models.Sum('remaining_amount'),
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total_distributed=models.Sum('quota_distributed'),
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total_warehouse_entry=models.Sum('inventory_received'),
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total_sold=models.Sum('total_sold'),
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)
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stat_by_prod.append(product_stat_data)
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return stat_by_prod
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