Files
Fulfillment-Backend/services/statistics.py

184 lines
7.1 KiB
Python

from collections import defaultdict
from datetime import datetime, timedelta
from sqlalchemy import select, and_, union_all, func, Subquery
from models import DealService, Deal, DealStatusHistory, DealProductService, DealProduct, Service
from schemas.statistics import GetProfitDataResponse, GetProfitDataRequest, ProfitDataItem
from services.base import BaseService
class StatisticsService(BaseService):
@staticmethod
def _get_sub_status_history():
last_statuses = (
select(
DealStatusHistory.deal_id,
func.max(DealStatusHistory.changed_at).label('changed_at')
)
.group_by(DealStatusHistory.deal_id)
.subquery()
)
return (
select(
Deal.id.label('deal_id'),
last_statuses.c.changed_at,
Deal.current_status,
)
.join(last_statuses, last_statuses.c.deal_id == Deal.id)
.subquery()
)
@staticmethod
def _get_filtered_sub_status_history(date_from: datetime.date, date_to: datetime.date):
sub_status_history = StatisticsService._get_sub_status_history()
return (
select(sub_status_history)
.where(sub_status_history.c.changed_at.between(date_from, date_to))
.subquery()
)
@staticmethod
def _fill_dates_gaps(rows, date_from: datetime.date, date_to: datetime.date) -> list[ProfitDataItem]:
dates = defaultdict(lambda: {"deals_count": 0, "profit": 0, "revenue": 0})
for row in rows:
dates[row.changed_at.date()] = {
"deals_count": row.deals_count,
"profit": row.profit,
"revenue": row.revenue
}
data = []
while date_from < date_to:
data_item = ProfitDataItem(
date=date_from,
deals_count=dates[date_from]["deals_count"],
profit=dates[date_from]["profit"],
revenue=dates[date_from]["revenue"],
)
data.append(data_item)
date_from += timedelta(days=1)
return data
@staticmethod
def _get_stmt_deal_services(sub_filtered_status_history: Subquery):
return (
select(
Deal.id.label("deal_id"),
func.date_trunc(
"day",
sub_filtered_status_history.c.changed_at,
).label("changed_at"),
func.sum(DealService.price * DealService.quantity).label("revenue"),
func.sum((DealService.price - Service.cost) * DealService.quantity).label("profit"),
)
.join(DealService, Deal.id == DealService.deal_id)
.join(Service, DealService.service_id == Service.id)
.join(sub_filtered_status_history, Deal.id == sub_filtered_status_history.c.deal_id)
.where(Deal.is_deleted == False)
.group_by(Deal.id, "changed_at")
)
@staticmethod
def _apply_filters(request: GetProfitDataRequest, stmt_deal_services, stmt_deal_product_services):
if request.client_id != -1:
stmt_deal_services = stmt_deal_services.where(Deal.client_id == request.client_id)
stmt_deal_product_services = stmt_deal_product_services.where(Deal.client_id == request.client_id)
if request.base_marketplace_key != "all":
stmt_deal_services = stmt_deal_services.where(Deal.base_marketplace_key == request.base_marketplace_key)
stmt_deal_product_services = stmt_deal_product_services.where(
Deal.base_marketplace_key == request.base_marketplace_key)
if request.deal_status_id != -1:
stmt_deal_services = stmt_deal_services.where(Deal.current_status == request.deal_status_id)
stmt_deal_product_services = stmt_deal_product_services.where(Deal.current_status == request.deal_status_id)
return stmt_deal_services, stmt_deal_product_services
@staticmethod
def _get_stmt_product_services():
return (
select(
Deal.id.label("deal_id"),
func.sum(DealProductService.price * DealProduct.quantity).label("revenue"),
func.sum((DealProductService.price - Service.cost) * DealProduct.quantity).label("profit"),
)
.join(DealProduct, Deal.id == DealProduct.deal_id)
.join(
DealProductService,
and_(
DealProductService.deal_id == Deal.id,
DealProductService.product_id == DealProduct.product_id,
)
)
.join(Service, DealProductService.service_id == Service.id)
.where(Deal.is_deleted == False)
.group_by(Deal.id)
)
@staticmethod
def _group_by_date(stmt):
return (
select(
stmt.c.changed_at,
func.count(stmt.c.deal_id).label("deals_count"),
func.sum(stmt.c.revenue).label("revenue"),
func.sum(stmt.c.profit).label("profit"),
)
.group_by(stmt.c.changed_at)
.order_by(stmt.c.changed_at.asc())
)
async def get_profit_data(self, request: GetProfitDataRequest) -> GetProfitDataResponse:
date_from, date_to = request.date_range
date_to += timedelta(days=1)
sub_filtered_status_history = self._get_filtered_sub_status_history(date_from, date_to)
stmt_deal_services = self._get_stmt_deal_services(sub_filtered_status_history)
stmt_deal_product_services = self._get_stmt_product_services()
stmt_deal_services, stmt_deal_product_services = self._apply_filters(
request,
stmt_deal_services,
stmt_deal_product_services
)
sub_deal_product_services = stmt_deal_product_services.subquery()
stmt_join_deals_statuses = (
select(
sub_deal_product_services.c.deal_id,
func.date_trunc(
"day",
sub_filtered_status_history.c.changed_at
).label("changed_at"),
sub_deal_product_services.c.revenue.label("revenue"),
sub_deal_product_services.c.profit.label("profit"),
)
.join(sub_filtered_status_history, sub_deal_product_services.c.deal_id == sub_filtered_status_history.c.deal_id)
)
stmt_union = union_all(stmt_deal_services, stmt_join_deals_statuses).subquery()
sub_grouped_by_deals = (
select(
stmt_union.c.deal_id,
stmt_union.c.changed_at,
func.sum(stmt_union.c.profit).label("profit"),
func.sum(stmt_union.c.revenue).label("revenue"),
)
.group_by(stmt_union.c.deal_id, stmt_union.c.changed_at)
)
stmt_grouped_by_date = self._group_by_date(sub_grouped_by_deals)
result = await self.session.execute(stmt_grouped_by_date)
rows = result.all()
data = self._fill_dates_gaps(rows, date_from, date_to)
return GetProfitDataResponse(data=data)