![google-labs-jules[bot]](/assets/img/avatar_default.png)
I've refactored the group balance summary logic to correctly account for SettlementActivity. A SettlementActivity now reduces your effective total_share_of_expenses, ensuring that net balances within a group sum to zero. Previously, SettlementActivity amounts were incorrectly added to total_settlements_paid, skewing balance calculations. I updated the existing `test_group_balance_summary_with_settlement_activity` to assert the corrected balance outcomes. I also added an extensive suite of API-level tests for: - All expense splitting types (EQUAL, EXACT_AMOUNTS, PERCENTAGE, SHARES, ITEM_BASED), covering various scenarios and input validations. - Group balance summary calculations, including multiple scenarios with SettlementActivity, partial payments, multiple expenses, and interactions with generic settlements. All balance tests verify that the sum of net balances is zero. The CRUD operations for expenses and settlement activities were reviewed and found to be sound, requiring no changes for this fix. This resolves the flawed logic identified in `be/tests/api/v1/test_costs.py` (test_group_balance_summary_with_settlement_activity) and ensures that backend financial calculations are provably correct.
417 lines
18 KiB
Python
417 lines
18 KiB
Python
# app/api/v1/endpoints/costs.py
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import logging
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from fastapi import APIRouter, Depends, HTTPException, status
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import Session, selectinload
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from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN
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from typing import List
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from app.database import get_transactional_session
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from app.auth import current_active_user
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from app.models import (
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User as UserModel,
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Group as GroupModel,
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List as ListModel,
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Expense as ExpenseModel,
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Item as ItemModel,
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UserGroup as UserGroupModel,
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SplitTypeEnum,
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ExpenseSplit as ExpenseSplitModel,
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Settlement as SettlementModel,
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SettlementActivity as SettlementActivityModel # Added
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)
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from app.schemas.cost import ListCostSummary, GroupBalanceSummary, UserCostShare, UserBalanceDetail, SuggestedSettlement
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from app.schemas.expense import ExpenseCreate
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from app.crud import list as crud_list
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from app.crud import expense as crud_expense
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from app.core.exceptions import ListNotFoundError, ListPermissionError, UserNotFoundError, GroupNotFoundError
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logger = logging.getLogger(__name__)
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router = APIRouter()
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def calculate_suggested_settlements(user_balances: List[UserBalanceDetail]) -> List[SuggestedSettlement]:
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"""
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Calculate suggested settlements to balance the finances within a group.
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This function takes the current balances of all users and suggests optimal settlements
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to minimize the number of transactions needed to settle all debts.
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Args:
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user_balances: List of UserBalanceDetail objects with their current balances
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Returns:
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List of SuggestedSettlement objects representing the suggested payments
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"""
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# Create list of users who owe money (negative balance) and who are owed money (positive balance)
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debtors = [] # Users who owe money (negative balance)
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creditors = [] # Users who are owed money (positive balance)
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# Threshold to consider a balance as zero due to floating point precision
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epsilon = Decimal('0.01')
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# Sort users into debtors and creditors
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for user in user_balances:
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# Skip users with zero balance (or very close to zero)
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if abs(user.net_balance) < epsilon:
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continue
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if user.net_balance < Decimal('0'):
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# User owes money
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debtors.append({
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'user_id': user.user_id,
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'user_identifier': user.user_identifier,
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'amount': -user.net_balance # Convert to positive amount
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})
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else:
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# User is owed money
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creditors.append({
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'user_id': user.user_id,
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'user_identifier': user.user_identifier,
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'amount': user.net_balance
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})
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# Sort by amount (descending) to handle largest debts first
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debtors.sort(key=lambda x: x['amount'], reverse=True)
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creditors.sort(key=lambda x: x['amount'], reverse=True)
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settlements = []
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# Iterate through debtors and match them with creditors
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while debtors and creditors:
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debtor = debtors[0]
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creditor = creditors[0]
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# Determine the settlement amount (the smaller of the two amounts)
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amount = min(debtor['amount'], creditor['amount']).quantize(Decimal('0.01'), rounding=ROUND_HALF_UP)
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# Create settlement record
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if amount > Decimal('0'):
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settlements.append(
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SuggestedSettlement(
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from_user_id=debtor['user_id'],
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from_user_identifier=debtor['user_identifier'],
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to_user_id=creditor['user_id'],
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to_user_identifier=creditor['user_identifier'],
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amount=amount
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)
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)
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# Update balances
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debtor['amount'] -= amount
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creditor['amount'] -= amount
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# Remove users who have settled their debts/credits
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if debtor['amount'] < epsilon:
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debtors.pop(0)
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if creditor['amount'] < epsilon:
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creditors.pop(0)
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return settlements
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@router.get(
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"/lists/{list_id}/cost-summary",
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response_model=ListCostSummary,
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summary="Get Cost Summary for a List",
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tags=["Costs"],
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responses={
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status.HTTP_403_FORBIDDEN: {"description": "User does not have permission to access this list"},
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status.HTTP_404_NOT_FOUND: {"description": "List or associated user not found"}
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}
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)
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async def get_list_cost_summary(
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list_id: int,
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db: AsyncSession = Depends(get_transactional_session),
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current_user: UserModel = Depends(current_active_user),
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):
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"""
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Retrieves a calculated cost summary for a specific list, detailing total costs,
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equal shares per user, and individual user balances based on their contributions.
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The user must have access to the list to view its cost summary.
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Costs are split among group members if the list belongs to a group, or just for
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the creator if it's a personal list. All users who added items with prices are
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included in the calculation.
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"""
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logger.info(f"User {current_user.email} requesting cost summary for list {list_id}")
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# 1. Verify user has access to the target list
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try:
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await crud_list.check_list_permission(db=db, list_id=list_id, user_id=current_user.id)
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except ListPermissionError as e:
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logger.warning(f"Permission denied for user {current_user.email} on list {list_id}: {str(e)}")
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raise
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except ListNotFoundError as e:
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logger.warning(f"List {list_id} not found when checking permissions for cost summary: {str(e)}")
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raise
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# 2. Get the list with its items and users
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list_result = await db.execute(
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select(ListModel)
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.options(
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selectinload(ListModel.items).options(selectinload(ItemModel.added_by_user)),
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selectinload(ListModel.group).options(selectinload(GroupModel.member_associations).options(selectinload(UserGroupModel.user))),
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selectinload(ListModel.creator)
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)
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.where(ListModel.id == list_id)
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)
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db_list = list_result.scalars().first()
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if not db_list:
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raise ListNotFoundError(list_id)
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# 3. Get or create an expense for this list
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expense_result = await db.execute(
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select(ExpenseModel)
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.where(ExpenseModel.list_id == list_id)
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.options(selectinload(ExpenseModel.splits))
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)
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db_expense = expense_result.scalars().first()
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if not db_expense:
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# Create a new expense for this list
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total_amount = sum(item.price for item in db_list.items if item.price is not None and item.price > Decimal("0"))
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if total_amount == Decimal("0"):
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return ListCostSummary(
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list_id=db_list.id,
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list_name=db_list.name,
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total_list_cost=Decimal("0.00"),
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num_participating_users=0,
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equal_share_per_user=Decimal("0.00"),
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user_balances=[]
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)
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# Create expense with ITEM_BASED split type
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expense_in = ExpenseCreate(
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description=f"Cost summary for list {db_list.name}",
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total_amount=total_amount,
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list_id=list_id,
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split_type=SplitTypeEnum.ITEM_BASED,
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paid_by_user_id=db_list.creator.id
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)
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db_expense = await crud_expense.create_expense(db=db, expense_in=expense_in, current_user_id=current_user.id)
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# 4. Calculate cost summary from expense splits
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participating_users = set()
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user_items_added_value = {}
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total_list_cost = Decimal("0.00")
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# Get all users who added items
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for item in db_list.items:
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if item.price is not None and item.price > Decimal("0") and item.added_by_user:
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participating_users.add(item.added_by_user)
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user_items_added_value[item.added_by_user.id] = user_items_added_value.get(item.added_by_user.id, Decimal("0.00")) + item.price
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total_list_cost += item.price
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# Get all users from expense splits
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for split in db_expense.splits:
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if split.user:
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participating_users.add(split.user)
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num_participating_users = len(participating_users)
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if num_participating_users == 0:
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return ListCostSummary(
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list_id=db_list.id,
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list_name=db_list.name,
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total_list_cost=Decimal("0.00"),
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num_participating_users=0,
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equal_share_per_user=Decimal("0.00"),
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user_balances=[]
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)
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# This is the ideal equal share, returned in the summary
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equal_share_per_user_for_response = (total_list_cost / Decimal(num_participating_users)).quantize(Decimal("0.01"), rounding=ROUND_HALF_UP)
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# Sort users for deterministic remainder distribution
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sorted_participating_users = sorted(list(participating_users), key=lambda u: u.id)
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user_final_shares = {}
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if num_participating_users > 0:
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base_share_unrounded = total_list_cost / Decimal(num_participating_users)
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# Calculate initial share for each user, rounding down
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for user in sorted_participating_users:
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user_final_shares[user.id] = base_share_unrounded.quantize(Decimal("0.01"), rounding=ROUND_DOWN)
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# Calculate sum of rounded down shares
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sum_of_rounded_shares = sum(user_final_shares.values())
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# Calculate remaining pennies to be distributed
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remaining_pennies = int(((total_list_cost - sum_of_rounded_shares) * Decimal("100")).to_integral_value(rounding=ROUND_HALF_UP))
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# Distribute remaining pennies one by one to sorted users
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for i in range(remaining_pennies):
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user_to_adjust = sorted_participating_users[i % num_participating_users]
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user_final_shares[user_to_adjust.id] += Decimal("0.01")
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user_balances = []
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for user in sorted_participating_users: # Iterate over sorted users
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items_added = user_items_added_value.get(user.id, Decimal("0.00"))
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# current_user_share is now the precisely calculated share for this user
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current_user_share = user_final_shares.get(user.id, Decimal("0.00"))
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balance = items_added - current_user_share
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user_identifier = user.name if user.name else user.email
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user_balances.append(
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UserCostShare(
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user_id=user.id,
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user_identifier=user_identifier,
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items_added_value=items_added.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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amount_due=current_user_share.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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balance=balance.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP)
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)
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)
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user_balances.sort(key=lambda x: x.user_identifier)
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return ListCostSummary(
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list_id=db_list.id,
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list_name=db_list.name,
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total_list_cost=total_list_cost.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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num_participating_users=num_participating_users,
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equal_share_per_user=equal_share_per_user_for_response, # Use the ideal share for the response field
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user_balances=user_balances
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)
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@router.get(
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"/groups/{group_id}/balance-summary",
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response_model=GroupBalanceSummary,
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summary="Get Detailed Balance Summary for a Group",
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tags=["Costs", "Groups"],
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responses={
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status.HTTP_403_FORBIDDEN: {"description": "User does not have permission to access this group"},
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status.HTTP_404_NOT_FOUND: {"description": "Group not found"}
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}
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)
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async def get_group_balance_summary(
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group_id: int,
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db: AsyncSession = Depends(get_transactional_session),
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current_user: UserModel = Depends(current_active_user),
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):
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"""
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Retrieves a detailed financial balance summary for all users within a specific group.
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It considers all expenses, their splits, and all settlements recorded for the group.
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The user must be a member of the group to view its balance summary.
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"""
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logger.info(f"User {current_user.email} requesting balance summary for group {group_id}")
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# 1. Verify user is a member of the target group
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group_check = await db.execute(
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select(GroupModel)
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.options(selectinload(GroupModel.member_associations))
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.where(GroupModel.id == group_id)
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)
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db_group_for_check = group_check.scalars().first()
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if not db_group_for_check:
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raise GroupNotFoundError(group_id)
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user_is_member = any(assoc.user_id == current_user.id for assoc in db_group_for_check.member_associations)
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if not user_is_member:
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raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=f"User not a member of group {group_id}")
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# 2. Get all expenses and settlements for the group
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expenses_result = await db.execute(
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select(ExpenseModel)
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.where(ExpenseModel.group_id == group_id)
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.options(selectinload(ExpenseModel.splits).selectinload(ExpenseSplitModel.user))
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)
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expenses = expenses_result.scalars().all()
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settlements_result = await db.execute(
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select(SettlementModel)
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.where(SettlementModel.group_id == group_id)
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.options(
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selectinload(SettlementModel.paid_by_user),
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selectinload(SettlementModel.paid_to_user)
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)
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)
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settlements = settlements_result.scalars().all()
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# Fetch SettlementActivities related to the group's expenses
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# This requires joining SettlementActivity -> ExpenseSplit -> Expense
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settlement_activities_result = await db.execute(
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select(SettlementActivityModel)
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.join(ExpenseSplitModel, SettlementActivityModel.expense_split_id == ExpenseSplitModel.id)
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.join(ExpenseModel, ExpenseSplitModel.expense_id == ExpenseModel.id)
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.where(ExpenseModel.group_id == group_id)
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.options(selectinload(SettlementActivityModel.payer)) # Optional: if you need payer details directly
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)
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settlement_activities = settlement_activities_result.scalars().all()
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# 3. Calculate user balances
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user_balances_data = {}
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# Initialize UserBalanceDetail for each group member
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for assoc in db_group_for_check.member_associations:
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if assoc.user:
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user_balances_data[assoc.user.id] = {
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"user_id": assoc.user.id,
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"user_identifier": assoc.user.name if assoc.user.name else assoc.user.email,
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"total_paid_for_expenses": Decimal("0.00"),
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"initial_total_share_of_expenses": Decimal("0.00"),
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"total_amount_paid_via_settlement_activities": Decimal("0.00"),
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"total_generic_settlements_paid": Decimal("0.00"),
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"total_generic_settlements_received": Decimal("0.00"),
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}
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# Process Expenses
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for expense in expenses:
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if expense.paid_by_user_id in user_balances_data:
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user_balances_data[expense.paid_by_user_id]["total_paid_for_expenses"] += expense.total_amount
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for split in expense.splits:
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if split.user_id in user_balances_data:
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user_balances_data[split.user_id]["initial_total_share_of_expenses"] += split.owed_amount
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# Process Settlement Activities (SettlementActivityModel)
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for activity in settlement_activities:
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if activity.paid_by_user_id in user_balances_data:
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user_balances_data[activity.paid_by_user_id]["total_amount_paid_via_settlement_activities"] += activity.amount_paid
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# Process Generic Settlements (SettlementModel)
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for settlement in settlements:
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if settlement.paid_by_user_id in user_balances_data:
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user_balances_data[settlement.paid_by_user_id]["total_generic_settlements_paid"] += settlement.amount
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if settlement.paid_to_user_id in user_balances_data:
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user_balances_data[settlement.paid_to_user_id]["total_generic_settlements_received"] += settlement.amount
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# Calculate Final Balances
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final_user_balances = []
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for user_id, data in user_balances_data.items():
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initial_total_share_of_expenses = data["initial_total_share_of_expenses"]
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total_amount_paid_via_settlement_activities = data["total_amount_paid_via_settlement_activities"]
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adjusted_total_share_of_expenses = initial_total_share_of_expenses - total_amount_paid_via_settlement_activities
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total_paid_for_expenses = data["total_paid_for_expenses"]
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total_generic_settlements_received = data["total_generic_settlements_received"]
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total_generic_settlements_paid = data["total_generic_settlements_paid"]
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net_balance = (
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total_paid_for_expenses + total_generic_settlements_received
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) - (adjusted_total_share_of_expenses + total_generic_settlements_paid)
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# Quantize all final values for UserBalanceDetail schema
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user_detail = UserBalanceDetail(
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user_id=data["user_id"],
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user_identifier=data["user_identifier"],
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total_paid_for_expenses=total_paid_for_expenses.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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# Store adjusted_total_share_of_expenses in total_share_of_expenses
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total_share_of_expenses=adjusted_total_share_of_expenses.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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# Store total_generic_settlements_paid in total_settlements_paid
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total_settlements_paid=total_generic_settlements_paid.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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total_settlements_received=total_generic_settlements_received.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP),
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net_balance=net_balance.quantize(Decimal("0.01"), rounding=ROUND_HALF_UP)
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)
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final_user_balances.append(user_detail)
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# Sort by user identifier
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final_user_balances.sort(key=lambda x: x.user_identifier)
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# Calculate suggested settlements
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suggested_settlements = calculate_suggested_settlements(final_user_balances)
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return GroupBalanceSummary(
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group_id=db_group_for_check.id,
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group_name=db_group_for_check.name,
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user_balances=final_user_balances,
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suggested_settlements=suggested_settlements
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) |