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feat: profit table and division of charts in statistics

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This commit is contained in:
AlexSserb
2024-11-17 00:59:36 +04:00
parent 3453c394e5
commit 3dbbae2173
5 changed files with 324 additions and 69 deletions
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9
enums/profit_table_group_by.py Normal file
View File

@@ -0,0 +1,9 @@
from enum import IntEnum
class ProfitTableGroupBy(IntEnum):
BY_DATES = 0
BY_CLIENTS = 1
BY_STATUSES = 2
BY_WAREHOUSES = 3
BY_MARKETPLACES = 4

27
routers/statistics.py
View File

@@ -4,7 +4,8 @@ from fastapi import APIRouter, Depends
from sqlalchemy.ext.asyncio import AsyncSession
from backend.session import get_session
from schemas.statistics import GetProfitDataRequest, GetProfitDataResponse
from schemas.statistics import GetProfitChartDataRequest, GetProfitChartDataResponse, GetProfitTableDataResponse, \
GetProfitTableDataRequest
from services.auth import authorized_user
from services.statistics import StatisticsService
@@ -16,12 +17,24 @@ statistics_router = APIRouter(
@statistics_router.post(
'/get-profit-data',
response_model=GetProfitDataResponse,
operation_id='get_profit_data',
'/get-profit-chart-data',
response_model=GetProfitChartDataResponse,
operation_id='get_profit_chart_data',
)
async def get_profit_data(
async def get_profit_chart_data(
session: Annotated[AsyncSession, Depends(get_session)],
request: GetProfitDataRequest
request: GetProfitChartDataRequest
):
return await StatisticsService(session).get_profit_data(request)
return await StatisticsService(session).get_profit_chart_data(request)
@statistics_router.post(
'/get-profit-table-data',
response_model=GetProfitTableDataResponse,
operation_id='get_profit_table_data',
)
async def get_profit_table_data(
session: Annotated[AsyncSession, Depends(get_session)],
request: GetProfitTableDataRequest
):
return await StatisticsService(session).get_profit_table_data(request)

25
schemas/statistics.py
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@@ -1,31 +1,48 @@
import datetime
from typing import List, Tuple
from enums.profit_table_group_by import ProfitTableGroupBy
from schemas.base import BaseSchema
# region Entities
class ProfitDataItem(BaseSchema):
class ProfitChartDataItem(BaseSchema):
date: datetime.date
revenue: float
profit: float
deals_count: int
class ProfitTableDataItem(BaseSchema):
grouped_value: datetime.date | str | int
revenue: float
profit: float
deals_count: int
# endregion
# region Requests
class GetProfitDataRequest(BaseSchema):
class GetProfitChartDataRequest(BaseSchema):
date_range: Tuple[datetime.date, datetime.date]
client_id: int
base_marketplace_key: str
deal_status_id: int
class GetProfitTableDataRequest(BaseSchema):
date_range: Tuple[datetime.date, datetime.date]
group_table_by: ProfitTableGroupBy
# endregion
# region Responses
class GetProfitDataResponse(BaseSchema):
data: List[ProfitDataItem]
class GetProfitChartDataResponse(BaseSchema):
data: List[ProfitChartDataItem]
class GetProfitTableDataResponse(BaseSchema):
data: List[ProfitTableDataItem]
# endregion

326
services/statistics.py
View File

@@ -1,14 +1,30 @@
from collections import defaultdict
from datetime import datetime, timedelta
from fastapi import HTTPException
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 enums.profit_table_group_by import ProfitTableGroupBy
from models import DealService, Deal, DealStatusHistory, DealProductService, DealProduct, Service, Client, \
ShippingWarehouse, BaseMarketplace
from schemas.statistics import GetProfitChartDataResponse, GetProfitChartDataRequest, ProfitChartDataItem, \
GetProfitTableDataResponse, GetProfitTableDataRequest, ProfitTableDataItem
from services.base import BaseService
class StatisticsService(BaseService):
@staticmethod
def _get_sub_deals_created_at(date_from: datetime.date, date_to: datetime.date):
return (
select(
Deal.id.label('deal_id'),
Deal.created_at.label('deal_date'),
Deal.current_status,
)
.where(Deal.created_at.between(date_from, date_to))
.subquery()
)
@staticmethod
def _get_sub_status_history():
last_statuses = (
@@ -22,7 +38,7 @@ class StatisticsService(BaseService):
return (
select(
Deal.id.label('deal_id'),
last_statuses.c.changed_at,
last_statuses.c.changed_at.label('deal_date'),
Deal.current_status,
)
.join(last_statuses, last_statuses.c.deal_id == Deal.id)
@@ -34,15 +50,23 @@ class StatisticsService(BaseService):
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))
.where(sub_status_history.c.deal_date.between(date_from, date_to))
.subquery()
)
@staticmethod
def _fill_dates_gaps(rows, date_from: datetime.date, date_to: datetime.date) -> list[ProfitDataItem]:
def _get_deals_dates(deal_status_id: int, date_from: datetime.date, date_to: datetime.date):
if deal_status_id == -1:
return StatisticsService._get_sub_deals_created_at(date_from, date_to)
return StatisticsService._get_filtered_sub_status_history(date_from, date_to)
@staticmethod
def _fill_dates_gaps(rows, date_from: datetime.date, date_to: datetime.date, is_chart: bool = True) -> (
list[ProfitChartDataItem] | list[ProfitTableDataItem]
):
dates = defaultdict(lambda: {"deals_count": 0, "profit": 0, "revenue": 0})
for row in rows:
dates[row.changed_at.date()] = {
dates[row.deal_date.date()] = {
"deals_count": row.deals_count,
"profit": row.profit,
"revenue": row.revenue
@@ -50,12 +74,20 @@ class StatisticsService(BaseService):
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"],
)
if is_chart:
data_item = ProfitChartDataItem(
date=date_from,
deals_count=dates[date_from]["deals_count"],
profit=dates[date_from]["profit"],
revenue=dates[date_from]["revenue"],
)
else:
data_item = ProfitTableDataItem(
grouped_value=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
@@ -67,8 +99,8 @@ class StatisticsService(BaseService):
Deal.id.label("deal_id"),
func.date_trunc(
"day",
sub_filtered_status_history.c.changed_at,
).label("changed_at"),
sub_filtered_status_history.c.deal_date,
).label("deal_date"),
func.sum(DealService.price * DealService.quantity).label("revenue"),
func.sum((DealService.price - Service.cost) * DealService.quantity).label("profit"),
)
@@ -76,11 +108,11 @@ class StatisticsService(BaseService):
.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")
.group_by(Deal.id, "deal_date")
)
@staticmethod
def _apply_filters(request: GetProfitDataRequest, stmt_deal_services, stmt_deal_product_services):
def _apply_filters(request: GetProfitChartDataRequest, 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)
@@ -117,67 +149,251 @@ class StatisticsService(BaseService):
.group_by(Deal.id)
)
@staticmethod
def _get_joined_deals_and_statuses(sub_deal_product_services: Subquery, sub_deals_dates: Subquery):
return (
select(
sub_deal_product_services.c.deal_id,
func.date_trunc(
"day",
sub_deals_dates.c.deal_date
).label("deal_date"),
sub_deal_product_services.c.revenue.label("revenue"),
sub_deal_product_services.c.profit.label("profit"),
)
.join(sub_deals_dates, sub_deal_product_services.c.deal_id == sub_deals_dates.c.deal_id)
)
@staticmethod
def _group_by_deals(stmt_union: Subquery):
return (
select(
stmt_union.c.deal_id,
stmt_union.c.deal_date,
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.deal_date)
)
@staticmethod
def _group_by_date(stmt):
return (
select(
stmt.c.changed_at,
stmt.c.deal_date,
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())
.group_by(stmt.c.deal_date)
.order_by(stmt.c.deal_date.asc())
)
async def get_profit_data(self, request: GetProfitDataRequest) -> GetProfitDataResponse:
@staticmethod
def _join_and_group_by_clients(stmt):
return (
select(
Client.id,
Client.name.label("grouped_value"),
func.count(stmt.c.deal_id).label("deals_count"),
func.sum(stmt.c.revenue).label("revenue"),
func.sum(stmt.c.profit).label("profit"),
)
.join(Deal, Deal.id == stmt.c.deal_id)
.join(Client, Client.id == Deal.client_id)
.group_by(Client.id, Client.name)
)
@staticmethod
def _join_and_group_by_statuses(stmt):
return (
select(
Deal.current_status.label("grouped_value"),
func.count(stmt.c.deal_id).label("deals_count"),
func.sum(stmt.c.revenue).label("revenue"),
func.sum(stmt.c.profit).label("profit"),
)
.join(Deal, Deal.id == stmt.c.deal_id)
.group_by(Deal.current_status)
)
@staticmethod
def _join_and_group_by_warehouses(stmt):
return (
select(
ShippingWarehouse.id,
ShippingWarehouse.name.label("grouped_value"),
ShippingWarehouse.is_deleted,
func.count(stmt.c.deal_id).label("deals_count"),
func.sum(stmt.c.revenue).label("revenue"),
func.sum(stmt.c.profit).label("profit"),
)
.join(Deal, Deal.id == stmt.c.deal_id)
.join(ShippingWarehouse, Deal.shipping_warehouse_id == ShippingWarehouse.id)
.where(ShippingWarehouse.is_deleted == False)
.group_by(ShippingWarehouse.is_deleted, ShippingWarehouse.id, ShippingWarehouse.name)
)
@staticmethod
def _join_and_group_by_marketplaces(stmt):
return (
select(
BaseMarketplace.name.label("grouped_value"),
func.count(stmt.c.deal_id).label("deals_count"),
func.sum(stmt.c.revenue).label("revenue"),
func.sum(stmt.c.profit).label("profit"),
)
.join(Deal, Deal.id == stmt.c.deal_id)
.join(BaseMarketplace, Deal.base_marketplace_key == BaseMarketplace.key)
.group_by(BaseMarketplace.name)
)
async def _get_data_rows_grouped_by_date(
self,
stmt_deal_services,
stmt_deal_product_services,
sub_deals_dates: Subquery,
):
sub_deal_product_services = stmt_deal_product_services.subquery()
stmt_join_deals_statuses = self._get_joined_deals_and_statuses(sub_deal_product_services, sub_deals_dates)
sub_union = union_all(stmt_deal_services, stmt_join_deals_statuses).subquery()
sub_grouped_by_deals = self._group_by_deals(sub_union)
stmt_grouped_by_date = self._group_by_date(sub_grouped_by_deals)
result = await self.session.execute(stmt_grouped_by_date)
rows = result.all()
return rows
async def get_profit_chart_data(self, request: GetProfitChartDataRequest) -> GetProfitChartDataResponse:
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)
sub_deals_dates = self._get_deals_dates(request.deal_status_id, date_from, date_to)
stmt_deal_services = self._get_stmt_deal_services(sub_deals_dates)
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)
rows = await self._get_data_rows_grouped_by_date(
stmt_deal_services, stmt_deal_product_services, sub_deals_dates
)
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)
return GetProfitChartDataResponse(data=data)
async def _get_table_grouped_by_dates(self, request: GetProfitTableDataRequest) -> GetProfitTableDataResponse:
date_from, date_to = request.date_range
date_to += timedelta(days=1)
sub_deals_dates = self._get_sub_deals_created_at(date_from, date_to)
stmt_deal_services = self._get_stmt_deal_services(sub_deals_dates)
stmt_deal_product_services = self._get_stmt_product_services()
rows = await self._get_data_rows_grouped_by_date(
stmt_deal_services, stmt_deal_product_services, sub_deals_dates
)
data = self._fill_dates_gaps(rows, date_from, date_to, False)
return GetProfitTableDataResponse(data=data)
async def _table_data_from_stmt(self, stmt) -> GetProfitTableDataResponse:
result = await self.session.execute(stmt)
rows = result.all()
data = []
for row in rows:
data.append(ProfitTableDataItem(
grouped_value=row.grouped_value,
revenue=row.revenue,
profit=row.profit,
deals_count=row.deals_count,
))
return GetProfitTableDataResponse(data=data)
def _get_common_table_grouped(self, request: GetProfitTableDataRequest):
date_from, date_to = request.date_range
date_to += timedelta(days=1)
sub_deals_dates = self._get_sub_deals_created_at(date_from, date_to)
stmt_deal_services = self._get_stmt_deal_services(sub_deals_dates)
stmt_deal_product_services = self._get_stmt_product_services()
stmt_deal_product_services = (
select(
stmt_deal_product_services.c.deal_id,
func.date_trunc(
"day",
Deal.created_at
).label("deal_date"),
stmt_deal_product_services.c.revenue.label("revenue"),
stmt_deal_product_services.c.profit.label("profit"),
)
.join(Deal, Deal.id == stmt_deal_product_services.c.deal_id)
)
sub_union = union_all(stmt_deal_services, stmt_deal_product_services).subquery()
sub_grouped_by_deals = self._group_by_deals(sub_union)
return sub_grouped_by_deals
async def _get_table_grouped_by_clients(self, request: GetProfitTableDataRequest) -> GetProfitTableDataResponse:
sub_grouped_by_deals = self._get_common_table_grouped(request)
stmt_grouped_by_clients = self._join_and_group_by_clients(sub_grouped_by_deals)
return await self._table_data_from_stmt(stmt_grouped_by_clients)
async def _get_table_grouped_by_statuses(self, request: GetProfitTableDataRequest) -> GetProfitTableDataResponse:
date_from, date_to = request.date_range
date_to += timedelta(days=1)
sub_deals_dates = self._get_filtered_sub_status_history(date_from, date_to)
stmt_deal_services = self._get_stmt_deal_services(sub_deals_dates)
sub_deal_product_services = self._get_stmt_product_services().subquery()
stmt_join_deals_statuses = self._get_joined_deals_and_statuses(sub_deal_product_services, sub_deals_dates)
sub_union = union_all(stmt_deal_services, stmt_join_deals_statuses).subquery()
sub_grouped_by_deals = self._group_by_deals(sub_union)
stmt_grouped_by_date = self._join_and_group_by_statuses(sub_grouped_by_deals)
return await self._table_data_from_stmt(stmt_grouped_by_date)
async def _get_table_grouped_by_warehouses(self, request: GetProfitTableDataRequest) -> GetProfitTableDataResponse:
sub_grouped_by_deals = self._get_common_table_grouped(request)
stmt_grouped_by_clients = self._join_and_group_by_warehouses(sub_grouped_by_deals)
return await self._table_data_from_stmt(stmt_grouped_by_clients)
async def _get_table_grouped_by_marketplace(self, request: GetProfitTableDataRequest) -> GetProfitTableDataResponse:
sub_grouped_by_deals = self._get_common_table_grouped(request)
stmt_grouped_by_clients = self._join_and_group_by_marketplaces(sub_grouped_by_deals)
return await self._table_data_from_stmt(stmt_grouped_by_clients)
async def get_profit_table_data(self, request: GetProfitTableDataRequest) -> GetProfitTableDataResponse:
match request.group_table_by:
case ProfitTableGroupBy.BY_DATES:
return await self._get_table_grouped_by_dates(request)
case ProfitTableGroupBy.BY_CLIENTS:
return await self._get_table_grouped_by_clients(request)
case ProfitTableGroupBy.BY_STATUSES:
return await self._get_table_grouped_by_statuses(request)
case ProfitTableGroupBy.BY_WAREHOUSES:
return await self._get_table_grouped_by_warehouses(request)
case ProfitTableGroupBy.BY_MARKETPLACES:
return await self._get_table_grouped_by_marketplace(request)
raise HTTPException(status_code=400, detail='Указана некорректная группировка')

6
test.py
View File

@@ -4,14 +4,14 @@ import datetime
from sqlalchemy.ext.asyncio import AsyncSession
from backend.session import session_maker
from schemas.statistics import GetProfitDataRequest
from schemas.statistics import GetProfitChartDataRequest
from services.statistics import StatisticsService
async def main():
session: AsyncSession = session_maker()
request = GetProfitDataRequest(
request = GetProfitChartDataRequest(
date_range=(
datetime.date(2020, 1, 1),
datetime.date(2020, 1, 31),
@@ -21,7 +21,7 @@ async def main():
try:
service = StatisticsService(session)
result = await service.get_profit_data(request)
result = await service.get_profit_chart_data(request)
# for res in result:
# print(res)