feat: profit chart in statistics
This commit is contained in:
1
main.py
1
main.py
@@ -45,6 +45,7 @@ routers_list = [
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routers.time_tracking_router,
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routers.time_tracking_router,
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routers.billing_router,
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routers.billing_router,
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routers.task_router,
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routers.task_router,
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routers.statistics_router,
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]
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]
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for router in routers_list:
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for router in routers_list:
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app.include_router(router)
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app.include_router(router)
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@@ -13,3 +13,4 @@ from .payroll import payroll_router
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from .time_tracking import time_tracking_router
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from .time_tracking import time_tracking_router
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from .billing import billing_router
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from .billing import billing_router
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from .task import task_router
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from .task import task_router
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from .statistics import statistics_router
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27
routers/statistics.py
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27
routers/statistics.py
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@@ -0,0 +1,27 @@
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from typing import Annotated
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from fastapi import APIRouter, Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from backend.session import get_session
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from schemas.statistics import GetProfitDataRequest, GetProfitDataResponse
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from services.auth import authorized_user
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from services.statistics import StatisticsService
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statistics_router = APIRouter(
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prefix="/statistics",
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tags=["statistics"],
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dependencies=[Depends(authorized_user)]
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)
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@statistics_router.post(
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'/get-profit-data',
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response_model=GetProfitDataResponse,
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operation_id='get_profit_data',
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)
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async def get_profit_data(
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session: Annotated[AsyncSession, Depends(get_session)],
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request: GetProfitDataRequest
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):
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return await StatisticsService(session).get_profit_data(request)
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31
schemas/statistics.py
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31
schemas/statistics.py
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@@ -0,0 +1,31 @@
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import datetime
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from typing import List, Tuple
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from schemas.base import BaseSchema
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# region Entities
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class ProfitDataItem(BaseSchema):
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date: datetime.date
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revenue: float
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profit: float
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deals_count: int
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# endregion
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# region Requests
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class GetProfitDataRequest(BaseSchema):
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date_range: Tuple[datetime.date, datetime.date]
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client_id: int
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base_marketplace_key: str
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deal_status_id: int
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# endregion
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# region Responses
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class GetProfitDataResponse(BaseSchema):
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data: List[ProfitDataItem]
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# endregion
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183
services/statistics.py
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183
services/statistics.py
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@@ -0,0 +1,183 @@
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from collections import defaultdict
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from datetime import datetime, timedelta
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from sqlalchemy import select, and_, union_all, func, Subquery
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from models import DealService, Deal, DealStatusHistory, DealProductService, DealProduct, Service
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from schemas.statistics import GetProfitDataResponse, GetProfitDataRequest, ProfitDataItem
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from services.base import BaseService
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class StatisticsService(BaseService):
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@staticmethod
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def _get_sub_status_history():
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last_statuses = (
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select(
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DealStatusHistory.deal_id,
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func.max(DealStatusHistory.changed_at).label('changed_at')
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)
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.group_by(DealStatusHistory.deal_id)
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.subquery()
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)
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return (
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select(
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Deal.id.label('deal_id'),
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last_statuses.c.changed_at,
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Deal.current_status,
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)
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.join(last_statuses, last_statuses.c.deal_id == Deal.id)
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.subquery()
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)
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@staticmethod
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def _get_filtered_sub_status_history(date_from: datetime.date, date_to: datetime.date):
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sub_status_history = StatisticsService._get_sub_status_history()
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return (
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select(sub_status_history)
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.where(sub_status_history.c.changed_at.between(date_from, date_to))
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.subquery()
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)
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@staticmethod
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def _fill_dates_gaps(rows, date_from: datetime.date, date_to: datetime.date) -> list[ProfitDataItem]:
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dates = defaultdict(lambda: {"deals_count": 0, "profit": 0, "revenue": 0})
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for row in rows:
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dates[row.changed_at.date()] = {
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"deals_count": row.deals_count,
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"profit": row.profit,
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"revenue": row.revenue
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}
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data = []
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while date_from < date_to:
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data_item = ProfitDataItem(
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date=date_from,
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deals_count=dates[date_from]["deals_count"],
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profit=dates[date_from]["profit"],
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revenue=dates[date_from]["revenue"],
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)
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data.append(data_item)
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date_from += timedelta(days=1)
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return data
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@staticmethod
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def _get_stmt_deal_services(sub_filtered_status_history: Subquery):
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return (
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select(
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Deal.id.label("deal_id"),
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func.date_trunc(
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"day",
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sub_filtered_status_history.c.changed_at,
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).label("changed_at"),
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func.sum(DealService.price * DealService.quantity).label("revenue"),
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func.sum((DealService.price - Service.cost) * DealService.quantity).label("profit"),
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)
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.join(DealService, Deal.id == DealService.deal_id)
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.join(Service, DealService.service_id == Service.id)
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.join(sub_filtered_status_history, Deal.id == sub_filtered_status_history.c.deal_id)
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.where(Deal.is_deleted == False)
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.group_by(Deal.id, "changed_at")
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)
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@staticmethod
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def _apply_filters(request: GetProfitDataRequest, stmt_deal_services, stmt_deal_product_services):
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if request.client_id != -1:
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stmt_deal_services = stmt_deal_services.where(Deal.client_id == request.client_id)
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stmt_deal_product_services = stmt_deal_product_services.where(Deal.client_id == request.client_id)
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if request.base_marketplace_key != "all":
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stmt_deal_services = stmt_deal_services.where(Deal.base_marketplace_key == request.base_marketplace_key)
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stmt_deal_product_services = stmt_deal_product_services.where(
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Deal.base_marketplace_key == request.base_marketplace_key)
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if request.deal_status_id != -1:
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stmt_deal_services = stmt_deal_services.where(Deal.current_status == request.deal_status_id)
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stmt_deal_product_services = stmt_deal_product_services.where(Deal.current_status == request.deal_status_id)
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return stmt_deal_services, stmt_deal_product_services
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@staticmethod
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def _get_stmt_product_services():
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return (
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select(
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Deal.id.label("deal_id"),
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func.sum(DealProductService.price * DealProduct.quantity).label("revenue"),
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func.sum((DealProductService.price - Service.cost) * DealProduct.quantity).label("profit"),
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)
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.join(DealProduct, Deal.id == DealProduct.deal_id)
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.join(
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DealProductService,
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and_(
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DealProductService.deal_id == Deal.id,
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DealProductService.product_id == DealProduct.product_id,
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)
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)
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.join(Service, DealProductService.service_id == Service.id)
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.where(Deal.is_deleted == False)
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.group_by(Deal.id)
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)
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@staticmethod
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def _group_by_date(stmt):
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return (
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select(
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stmt.c.changed_at,
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func.count(stmt.c.deal_id).label("deals_count"),
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func.sum(stmt.c.revenue).label("revenue"),
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func.sum(stmt.c.profit).label("profit"),
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)
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.group_by(stmt.c.changed_at)
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.order_by(stmt.c.changed_at.asc())
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)
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async def get_profit_data(self, request: GetProfitDataRequest) -> GetProfitDataResponse:
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date_from, date_to = request.date_range
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date_to += timedelta(days=1)
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sub_filtered_status_history = self._get_filtered_sub_status_history(date_from, date_to)
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stmt_deal_services = self._get_stmt_deal_services(sub_filtered_status_history)
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stmt_deal_product_services = self._get_stmt_product_services()
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stmt_deal_services, stmt_deal_product_services = self._apply_filters(
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request,
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stmt_deal_services,
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stmt_deal_product_services
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)
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sub_deal_product_services = stmt_deal_product_services.subquery()
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stmt_join_deals_statuses = (
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select(
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sub_deal_product_services.c.deal_id,
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func.date_trunc(
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"day",
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sub_filtered_status_history.c.changed_at
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).label("changed_at"),
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sub_deal_product_services.c.revenue.label("revenue"),
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sub_deal_product_services.c.profit.label("profit"),
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)
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.join(sub_filtered_status_history, sub_deal_product_services.c.deal_id == sub_filtered_status_history.c.deal_id)
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)
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stmt_union = union_all(stmt_deal_services, stmt_join_deals_statuses).subquery()
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sub_grouped_by_deals = (
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select(
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stmt_union.c.deal_id,
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stmt_union.c.changed_at,
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func.sum(stmt_union.c.profit).label("profit"),
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func.sum(stmt_union.c.revenue).label("revenue"),
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)
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.group_by(stmt_union.c.deal_id, stmt_union.c.changed_at)
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)
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stmt_grouped_by_date = self._group_by_date(sub_grouped_by_deals)
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result = await self.session.execute(stmt_grouped_by_date)
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rows = result.all()
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data = self._fill_dates_gaps(rows, date_from, date_to)
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return GetProfitDataResponse(data=data)
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19
test.py
19
test.py
@@ -1,21 +1,30 @@
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import asyncio
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import asyncio
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import datetime
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.ext.asyncio import AsyncSession
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from backend.session import session_maker
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from backend.session import session_maker
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from services.billing import BillingService
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from schemas.statistics import GetProfitDataRequest
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from services.statistics import StatisticsService
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async def main():
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async def main():
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session: AsyncSession = session_maker()
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session: AsyncSession = session_maker()
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request = GetProfitDataRequest(
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date_range=(
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datetime.date(2020, 1, 1),
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datetime.date(2020, 1, 31),
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),
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)
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try:
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try:
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service = BillingService(session)
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service = StatisticsService(session)
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pdf_file = await service.create_billing_document_pdf(121)
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result = await service.get_profit_data(request)
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with open("report.pdf", "wb") as f:
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# for res in result:
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f.write(pdf_file.getvalue())
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# print(res)
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finally:
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finally:
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await session.close()
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await session.close()
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Reference in New Issue
Block a user