Improve the frontend modals

This commit is contained in:
Urtzi Alfaro
2025-10-27 16:33:26 +01:00
parent 61376b7a9f
commit 858d985c92
143 changed files with 9289 additions and 2306 deletions

View File

@@ -398,11 +398,80 @@ class IngredientRepository(BaseRepository[Ingredient, IngredientCreate, Ingredie
from app.schemas.inventory import IngredientUpdate
update_data = IngredientUpdate(last_purchase_price=price)
return await self.update(ingredient_id, update_data)
except Exception as e:
logger.error("Failed to update last purchase price", error=str(e), ingredient_id=ingredient_id)
raise
async def update_weighted_average_cost(
self,
ingredient_id: UUID,
current_stock_quantity: float,
new_purchase_quantity: float,
new_unit_cost: float
) -> Optional[Ingredient]:
"""
Update the average cost using weighted average calculation.
Formula:
new_average_cost = (current_stock_qty × current_avg_cost + new_qty × new_cost) / (current_stock_qty + new_qty)
Args:
ingredient_id: ID of the ingredient
current_stock_quantity: Current stock quantity before this purchase
new_purchase_quantity: Quantity being purchased
new_unit_cost: Unit cost of the new purchase
Returns:
Updated ingredient or None if not found
"""
try:
# Get current ingredient data
ingredient = await self.get_by_id(ingredient_id)
if not ingredient:
logger.warning("Ingredient not found for average cost update", ingredient_id=ingredient_id)
return None
from decimal import Decimal
# Get current average cost (default to new cost if not set)
current_avg_cost = float(ingredient.average_cost) if ingredient.average_cost else float(new_unit_cost)
# Calculate weighted average
# If no current stock, just use the new purchase price
if current_stock_quantity <= 0:
new_average_cost = Decimal(str(new_unit_cost))
else:
# Weighted average formula
total_cost = (current_stock_quantity * current_avg_cost) + (new_purchase_quantity * new_unit_cost)
total_quantity = current_stock_quantity + new_purchase_quantity
new_average_cost = Decimal(str(total_cost / total_quantity))
# Update the ingredient
from app.schemas.inventory import IngredientUpdate
update_data = IngredientUpdate(average_cost=new_average_cost)
updated_ingredient = await self.update(ingredient_id, update_data)
logger.info(
"Updated weighted average cost",
ingredient_id=ingredient_id,
old_average_cost=current_avg_cost,
new_average_cost=float(new_average_cost),
current_stock_qty=current_stock_quantity,
new_purchase_qty=new_purchase_quantity,
new_unit_cost=new_unit_cost
)
return updated_ingredient
except Exception as e:
logger.error(
"Failed to update weighted average cost",
error=str(e),
ingredient_id=ingredient_id
)
raise
async def get_ingredients_by_category(self, tenant_id: UUID, category: str) -> List[Ingredient]:
"""Get all ingredients in a specific category"""
try:

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@@ -28,7 +28,9 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
self,
movement_data: StockMovementCreate,
tenant_id: UUID,
created_by: Optional[UUID] = None
created_by: Optional[UUID] = None,
quantity_before: Optional[float] = None,
quantity_after: Optional[float] = None
) -> StockMovement:
"""Create a new stock movement record"""
try:
@@ -37,6 +39,12 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
create_data['tenant_id'] = tenant_id
create_data['created_by'] = created_by
# Add quantity_before and quantity_after if provided
if quantity_before is not None:
create_data['quantity_before'] = quantity_before
if quantity_after is not None:
create_data['quantity_after'] = quantity_after
# Ensure movement_type is properly converted to enum value
if 'movement_type' in create_data:
movement_type = create_data['movement_type']
@@ -65,6 +73,8 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
ingredient_id=record.ingredient_id,
movement_type=record.movement_type if record.movement_type else None,
quantity=record.quantity,
quantity_before=record.quantity_before,
quantity_after=record.quantity_after,
tenant_id=tenant_id
)
return record
@@ -453,7 +463,7 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
# Generate reference number
reference_number = f"AUTO-EXPIRE-{batch_number or stock_id}"
# Create movement data
# Create movement data (without quantity_before/quantity_after - these will be calculated by the caller)
movement_data = {
'tenant_id': tenant_id,
'ingredient_id': ingredient_id,
@@ -462,8 +472,6 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
'quantity': quantity,
'unit_cost': Decimal(str(unit_cost)) if unit_cost else None,
'total_cost': total_cost,
'quantity_before': quantity,
'quantity_after': 0,
'reference_number': reference_number,
'reason_code': 'expired',
'notes': f"Lote automáticamente marcado como caducado. Vencimiento: {expiration_date.strftime('%Y-%m-%d')}",
@@ -536,4 +544,4 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
except Exception as e:
logger.error("Failed to get inventory waste total", error=str(e), tenant_id=str(tenant_id))
raise
raise

View File

@@ -43,10 +43,10 @@ class IngredientCreate(InventoryBaseSchema):
brand: Optional[str] = Field(None, max_length=100, description="Brand name")
unit_of_measure: UnitOfMeasure = Field(..., description="Unit of measure")
package_size: Optional[float] = Field(None, gt=0, description="Package size")
# Pricing
average_cost: Optional[Decimal] = Field(None, ge=0, description="Average cost per unit")
standard_cost: Optional[Decimal] = Field(None, ge=0, description="Standard cost per unit")
# Note: average_cost is calculated automatically from purchases (not set on create)
standard_cost: Optional[Decimal] = Field(None, ge=0, description="Standard/target cost per unit for budgeting")
# Stock management
low_stock_threshold: float = Field(10.0, ge=0, description="Low stock alert threshold")
@@ -187,6 +187,13 @@ class StockCreate(InventoryBaseSchema):
shelf_life_days: Optional[int] = Field(None, gt=0, description="Batch-specific shelf life in days")
storage_instructions: Optional[str] = Field(None, description="Batch-specific storage instructions")
@validator('supplier_id', pre=True)
def validate_supplier_id(cls, v):
"""Convert empty string to None for optional UUID field"""
if v == '' or (isinstance(v, str) and v.strip() == ''):
return None
return v
@validator('storage_temperature_max')
def validate_temperature_range(cls, v, values):
min_temp = values.get('storage_temperature_min')
@@ -233,6 +240,13 @@ class StockUpdate(InventoryBaseSchema):
shelf_life_days: Optional[int] = Field(None, gt=0, description="Batch-specific shelf life in days")
storage_instructions: Optional[str] = Field(None, description="Batch-specific storage instructions")
@validator('supplier_id', pre=True)
def validate_supplier_id(cls, v):
"""Convert empty string to None for optional UUID field"""
if v == '' or (isinstance(v, str) and v.strip() == ''):
return None
return v
class StockResponse(InventoryBaseSchema):
"""Schema for stock API responses"""

View File

@@ -10,6 +10,7 @@ import uuid
from typing import List, Dict, Any, Optional
from uuid import UUID
from datetime import datetime, timedelta, timezone
from decimal import Decimal
import structlog
from apscheduler.triggers.cron import CronTrigger
from sqlalchemy import text
@@ -19,6 +20,8 @@ from shared.alerts.templates import format_item_message
from app.repositories.stock_repository import StockRepository
from app.repositories.stock_movement_repository import StockMovementRepository
from app.repositories.inventory_alert_repository import InventoryAlertRepository
from app.schemas.inventory import StockMovementCreate
from app.models.inventory import StockMovementType
logger = structlog.get_logger()
@@ -780,18 +783,35 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
# 1. Mark the stock batch as expired
await stock_repo.mark_batch_as_expired(stock.id, tenant_id)
# 2. Create waste stock movement
await movement_repo.create_automatic_waste_movement(
# 2. Get current stock level before this movement
current_stock = await stock_repo.get_total_stock_by_ingredient(tenant_id, stock.ingredient_id)
quantity_before = current_stock['total_available']
quantity_after = quantity_before - stock.current_quantity
# 3. Create waste stock movement with proper quantity tracking
await movement_repo.create_movement(
movement_data=StockMovementCreate(
tenant_id=tenant_id,
ingredient_id=stock.ingredient_id,
stock_id=stock.id,
movement_type=StockMovementType.WASTE,
quantity=stock.current_quantity,
unit_cost=Decimal(str(stock.unit_cost)) if stock.unit_cost else None,
quantity_before=quantity_before,
quantity_after=quantity_after,
reference_number=f"AUTO-EXPIRE-{stock.batch_number or stock.id}",
reason_code='expired',
notes=f"Lote automáticamente marcado como caducado. Vencimiento: {effective_expiration_date.strftime('%Y-%m-%d')}",
movement_date=datetime.now(),
created_by=None
),
tenant_id=tenant_id,
ingredient_id=stock.ingredient_id,
stock_id=stock.id,
quantity=stock.current_quantity,
unit_cost=float(stock.unit_cost) if stock.unit_cost else None,
batch_number=stock.batch_number,
expiration_date=effective_expiration_date,
created_by=None # Automatic system operation
created_by=None
)
# 4. Update the stock quantity to 0 (moved to waste)
await stock_repo.update_stock_to_zero(stock.id, tenant_id)
# 3. Update the stock quantity to 0 (moved to waste)
await stock_repo.update_stock_to_zero(stock.id, tenant_id)

View File

@@ -280,6 +280,11 @@ class InventoryService:
# Create stock entry
stock = await stock_repo.create_stock_entry(stock_data, tenant_id)
# Get current stock level before this movement
current_stock = await stock_repo.get_total_stock_by_ingredient(tenant_id, UUID(stock_data.ingredient_id))
quantity_before = current_stock['total_available']
quantity_after = quantity_before + stock_data.current_quantity
# Create stock movement record
movement_data = StockMovementCreate(
ingredient_id=stock_data.ingredient_id,
@@ -289,14 +294,22 @@ class InventoryService:
unit_cost=stock_data.unit_cost,
notes=f"Initial stock entry - Batch: {stock_data.batch_number or 'N/A'}"
)
await movement_repo.create_movement(movement_data, tenant_id, user_id)
# Update ingredient's last purchase price
await movement_repo.create_movement(movement_data, tenant_id, user_id, quantity_before, quantity_after)
# Update ingredient's last purchase price and weighted average cost
if stock_data.unit_cost:
await ingredient_repo.update_last_purchase_price(
UUID(stock_data.ingredient_id),
UUID(stock_data.ingredient_id),
float(stock_data.unit_cost)
)
# Calculate and update weighted average cost
await ingredient_repo.update_weighted_average_cost(
ingredient_id=UUID(stock_data.ingredient_id),
current_stock_quantity=quantity_before,
new_purchase_quantity=stock_data.current_quantity,
new_unit_cost=float(stock_data.unit_cost)
)
# Convert to response schema
response = StockResponse(**stock.to_dict())
@@ -333,19 +346,28 @@ class InventoryService:
# Reserve stock first
reservations = await stock_repo.reserve_stock(tenant_id, ingredient_id, quantity, fifo)
if not reservations:
raise ValueError("Insufficient stock available")
# Get current stock level before this consumption
current_stock = await stock_repo.get_total_stock_by_ingredient(tenant_id, ingredient_id)
running_stock_level = current_stock['total_available']
consumed_items = []
for reservation in reservations:
stock_id = UUID(reservation['stock_id'])
reserved_qty = reservation['reserved_quantity']
# Calculate before/after for this specific batch
batch_quantity_before = running_stock_level
batch_quantity_after = running_stock_level - reserved_qty
running_stock_level = batch_quantity_after # Update for next iteration
# Consume from reserved stock
consumed_stock = await stock_repo.consume_stock(stock_id, reserved_qty, from_reserved=True)
# Create movement record
# Create movement record with progressive tracking
movement_data = StockMovementCreate(
ingredient_id=str(ingredient_id),
stock_id=str(stock_id),
@@ -354,7 +376,7 @@ class InventoryService:
reference_number=reference_number,
notes=notes or f"Stock consumption - Batch: {reservation.get('batch_number', 'N/A')}"
)
await movement_repo.create_movement(movement_data, tenant_id, user_id)
await movement_repo.create_movement(movement_data, tenant_id, user_id, batch_quantity_before, batch_quantity_after)
consumed_items.append({
'stock_id': str(stock_id),
@@ -650,6 +672,187 @@ class InventoryService:
logger.error("Failed to get stock entries", error=str(e), tenant_id=tenant_id)
raise
async def create_stock_movement(
self,
movement_data: StockMovementCreate,
tenant_id: UUID,
user_id: Optional[UUID] = None
) -> StockMovementResponse:
"""Create a stock movement record with proper quantity tracking"""
try:
async with get_db_transaction() as db:
movement_repo = StockMovementRepository(db)
ingredient_repo = IngredientRepository(db)
stock_repo = StockRepository(db)
# Validate ingredient exists
ingredient = await ingredient_repo.get_by_id(UUID(movement_data.ingredient_id))
if not ingredient or ingredient.tenant_id != tenant_id:
raise ValueError("Ingredient not found")
# Get current stock level before this movement
current_stock = await stock_repo.get_total_stock_by_ingredient(tenant_id, UUID(movement_data.ingredient_id))
quantity_before = current_stock['total_available']
# Calculate quantity_after based on movement type
movement_quantity = movement_data.quantity or 0
if movement_data.movement_type in [StockMovementType.PURCHASE, StockMovementType.TRANSFORMATION, StockMovementType.INITIAL_STOCK]:
# These are additions to stock
quantity_after = quantity_before + movement_quantity
else:
# These are subtractions from stock (PRODUCTION_USE, WASTE, ADJUSTMENT)
quantity_after = quantity_before - movement_quantity
# Create stock movement record
movement = await movement_repo.create_movement(
movement_data,
tenant_id,
user_id,
quantity_before,
quantity_after
)
# Convert to response schema
response = StockMovementResponse(**movement.to_dict())
response.ingredient = IngredientResponse(**ingredient.to_dict())
logger.info(
"Stock movement created successfully",
movement_id=movement.id,
ingredient_id=movement.ingredient_id,
quantity=movement.quantity,
quantity_before=quantity_before,
quantity_after=quantity_after
)
return response
except Exception as e:
logger.error("Failed to create stock movement", error=str(e), tenant_id=tenant_id)
raise
async def get_stock_entry(
self,
stock_id: UUID,
tenant_id: UUID
) -> Optional[StockResponse]:
"""Get a single stock entry by ID"""
try:
async with get_db_transaction() as db:
stock_repo = StockRepository(db)
ingredient_repo = IngredientRepository(db)
# Get stock entry
stock = await stock_repo.get_by_id(stock_id)
# Check if stock exists and belongs to tenant
if not stock or stock.tenant_id != tenant_id:
return None
# Get ingredient information
ingredient = await ingredient_repo.get_by_id(stock.ingredient_id)
response = StockResponse(**stock.to_dict())
if ingredient:
ingredient_dict = ingredient.to_dict()
# Map category field based on product type
if ingredient.product_type and ingredient.product_type.value == 'finished_product':
ingredient_dict['category'] = ingredient.product_category.value if ingredient.product_category else None
else:
ingredient_dict['category'] = ingredient.ingredient_category.value if ingredient.ingredient_category else None
response.ingredient = IngredientResponse(**ingredient_dict)
return response
except Exception as e:
logger.error("Failed to get stock entry", error=str(e), stock_id=stock_id, tenant_id=tenant_id)
raise
async def update_stock(
self,
stock_id: UUID,
stock_data: StockUpdate,
tenant_id: UUID
) -> Optional[StockResponse]:
"""Update a stock entry"""
try:
async with get_db_transaction() as db:
stock_repo = StockRepository(db)
ingredient_repo = IngredientRepository(db)
# Check if stock exists and belongs to tenant
existing_stock = await stock_repo.get_by_id(stock_id)
if not existing_stock or existing_stock.tenant_id != tenant_id:
return None
# Prepare update data
update_data = stock_data.model_dump(exclude_unset=True)
# Recalculate available_quantity if current_quantity or reserved_quantity changed
if 'current_quantity' in update_data or 'reserved_quantity' in update_data:
current_qty = update_data.get('current_quantity', existing_stock.current_quantity)
reserved_qty = update_data.get('reserved_quantity', existing_stock.reserved_quantity)
update_data['available_quantity'] = max(0, current_qty - reserved_qty)
# Recalculate total cost if unit_cost or current_quantity changed
if 'unit_cost' in update_data or 'current_quantity' in update_data:
unit_cost = update_data.get('unit_cost', existing_stock.unit_cost)
current_qty = update_data.get('current_quantity', existing_stock.current_quantity)
if unit_cost is not None and current_qty is not None:
from decimal import Decimal
update_data['total_cost'] = Decimal(str(unit_cost)) * Decimal(str(current_qty))
# Update the stock entry
updated_stock = await stock_repo.update(stock_id, update_data)
if not updated_stock:
return None
# Get ingredient information
ingredient = await ingredient_repo.get_by_id(updated_stock.ingredient_id)
response = StockResponse(**updated_stock.to_dict())
if ingredient:
ingredient_dict = ingredient.to_dict()
# Map category field based on product type
if ingredient.product_type and ingredient.product_type.value == 'finished_product':
ingredient_dict['category'] = ingredient.product_category.value if ingredient.product_category else None
else:
ingredient_dict['category'] = ingredient.ingredient_category.value if ingredient.ingredient_category else None
response.ingredient = IngredientResponse(**ingredient_dict)
logger.info("Stock entry updated successfully", stock_id=stock_id, tenant_id=tenant_id)
return response
except Exception as e:
logger.error("Failed to update stock entry", error=str(e), stock_id=stock_id, tenant_id=tenant_id)
raise
async def delete_stock(
self,
stock_id: UUID,
tenant_id: UUID
) -> bool:
"""Delete a stock entry"""
try:
async with get_db_transaction() as db:
stock_repo = StockRepository(db)
# Check if stock exists and belongs to tenant
existing_stock = await stock_repo.get_by_id(stock_id)
if not existing_stock or existing_stock.tenant_id != tenant_id:
return False
# Delete the stock entry
success = await stock_repo.delete_by_id(stock_id)
if success:
logger.info("Stock entry deleted successfully", stock_id=stock_id, tenant_id=tenant_id)
return success
except Exception as e:
logger.error("Failed to delete stock entry", error=str(e), stock_id=stock_id, tenant_id=tenant_id)
raise
# ===== DELETION METHODS =====
async def hard_delete_ingredient(

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@@ -312,19 +312,41 @@ class SustainabilityService:
baseline = await self._get_baseline_waste(db, tenant_id)
current_waste_percentage = waste_data['waste_percentage']
# Ensure baseline is at least the industry average if not available
baseline_percentage = baseline.get('waste_percentage', EnvironmentalConstants.EU_BAKERY_BASELINE_WASTE * 100)
# If baseline is too low (less than 1%), use industry average to prevent calculation errors
if baseline_percentage < 1.0:
baseline_percentage = EnvironmentalConstants.EU_BAKERY_BASELINE_WASTE * 100
# Calculate reduction from baseline
# If current waste is higher than baseline, show negative reduction (worse than baseline)
# If current waste is lower than baseline, show positive reduction (better than baseline)
if baseline_percentage > 0:
reduction_percentage = ((baseline_percentage - current_waste_percentage) / baseline_percentage) * 100
else:
reduction_percentage = 0
# SDG 12.3 target is 50% reduction
sdg_target = baseline_percentage * (1 - EnvironmentalConstants.SDG_TARGET_REDUCTION)
progress_to_target = (reduction_percentage / (EnvironmentalConstants.SDG_TARGET_REDUCTION * 100)) * 100
# Calculate progress toward 50% reduction target
# The target is to achieve 50% reduction from baseline
# So if baseline is 25%, target is to reach 12.5% (25% * 0.5)
target_reduction_percentage = 50.0
target_waste_percentage = baseline_percentage * (1 - (target_reduction_percentage / 100))
# Calculate progress: how much of the 50% target has been achieved
# If we've reduced from 25% to 19.28%, we've achieved (25-19.28)/(25-12.5) = 5.72/12.5 = 45.8% of target
if baseline_percentage > target_waste_percentage:
max_possible_reduction = baseline_percentage - target_waste_percentage
actual_reduction = baseline_percentage - current_waste_percentage
progress_to_target = (actual_reduction / max_possible_reduction) * 100 if max_possible_reduction > 0 else 0
else:
# If current is already better than target
progress_to_target = 100.0 if current_waste_percentage <= target_waste_percentage else 0.0
# Status assessment
# Ensure progress doesn't exceed 100%
progress_to_target = min(progress_to_target, 100.0)
# Status assessment based on actual reduction achieved
if reduction_percentage >= 50:
status = 'sdg_compliant'
status_label = 'SDG 12.3 Compliant'
@@ -334,6 +356,12 @@ class SustainabilityService:
elif reduction_percentage >= 10:
status = 'progressing'
status_label = 'Making Progress'
elif reduction_percentage > 0:
status = 'improving'
status_label = 'Improving'
elif reduction_percentage < 0:
status = 'baseline'
status_label = 'Above Baseline'
else:
status = 'baseline'
status_label = 'Establishing Baseline'
@@ -343,11 +371,11 @@ class SustainabilityService:
'baseline_waste_percentage': round(baseline_percentage, 2),
'current_waste_percentage': round(current_waste_percentage, 2),
'reduction_achieved': round(reduction_percentage, 2),
'target_reduction': 50.0,
'progress_to_target': round(min(progress_to_target, 100), 1),
'target_reduction': target_reduction_percentage,
'progress_to_target': round(max(progress_to_target, 0), 1), # Ensure non-negative
'status': status,
'status_label': status_label,
'target_waste_percentage': round(sdg_target, 2)
'target_waste_percentage': round(target_waste_percentage, 2)
},
'baseline_period': baseline.get('period', 'industry_average'),
'certification_ready': reduction_percentage >= 50,

View File

@@ -81,16 +81,25 @@ class TransformationService:
source_reservations
)
# Consume source stock and create movements
# Get current stock level before source consumption
current_source_stock = await stock_repo.get_total_stock_by_ingredient(tenant_id, UUID(transformation_data.source_ingredient_id))
running_stock_level = current_source_stock['total_available']
# Consume source stock and create movements with progressive tracking
consumed_items = []
for reservation in source_reservations:
stock_id = UUID(reservation['stock_id'])
reserved_qty = reservation['reserved_quantity']
# Calculate before/after for this specific batch
batch_quantity_before = running_stock_level
batch_quantity_after = running_stock_level - reserved_qty
running_stock_level = batch_quantity_after # Update for next iteration
# Consume from reserved stock
await stock_repo.consume_stock(stock_id, reserved_qty, from_reserved=True)
# Create movement record
# Create movement record for source consumption with progressive tracking
movement_data = StockMovementCreate(
ingredient_id=transformation_data.source_ingredient_id,
stock_id=str(stock_id),
@@ -99,7 +108,7 @@ class TransformationService:
reference_number=transformation.transformation_reference,
notes=f"Transformation: {transformation_data.source_stage.value}{transformation_data.target_stage.value}"
)
await movement_repo.create_movement(movement_data, tenant_id, user_id)
await movement_repo.create_movement(movement_data, tenant_id, user_id, batch_quantity_before, batch_quantity_after)
consumed_items.append({
'stock_id': str(stock_id),
@@ -124,6 +133,11 @@ class TransformationService:
target_stock = await stock_repo.create_stock_entry(target_stock_data, tenant_id)
# Get current stock level before target addition
current_target_stock = await stock_repo.get_total_stock_by_ingredient(tenant_id, UUID(transformation_data.target_ingredient_id))
target_quantity_before = current_target_stock['total_available']
target_quantity_after = target_quantity_before + transformation_data.target_quantity
# Create target stock movement
target_movement_data = StockMovementCreate(
ingredient_id=transformation_data.target_ingredient_id,
@@ -133,7 +147,7 @@ class TransformationService:
reference_number=transformation.transformation_reference,
notes=f"Transformation result: {transformation_data.source_stage.value}{transformation_data.target_stage.value}"
)
await movement_repo.create_movement(target_movement_data, tenant_id, user_id)
await movement_repo.create_movement(target_movement_data, tenant_id, user_id, target_quantity_before, target_quantity_after)
# Convert to response schema
response = ProductTransformationResponse(**transformation.to_dict())
@@ -329,4 +343,4 @@ class TransformationService:
except Exception as e:
logger.error("Failed to get transformation summary", error=str(e), tenant_id=tenant_id)
raise
raise

View File

@@ -0,0 +1,148 @@
#!/usr/bin/env python3
"""
Test script to demonstrate and verify the weighted average cost calculation
Location: services/inventory/tests/test_weighted_average_cost.py
"""
import sys
from decimal import Decimal
def calculate_weighted_average(current_stock: float, current_avg_cost: float,
new_quantity: float, new_unit_cost: float) -> float:
"""
Calculate weighted average cost - mirrors the implementation in ingredient_repository.py
Args:
current_stock: Current stock quantity before purchase
current_avg_cost: Current average cost per unit
new_quantity: Quantity being purchased
new_unit_cost: Unit cost of new purchase
Returns:
New average cost per unit
"""
if current_stock <= 0:
return new_unit_cost
total_cost = (current_stock * current_avg_cost) + (new_quantity * new_unit_cost)
total_quantity = current_stock + new_quantity
return total_cost / total_quantity
def print_test_case(case_num: int, title: str, current_stock: float, current_avg_cost: float,
new_quantity: float, new_unit_cost: float):
"""Print a formatted test case with calculation details"""
print(f"\nTest Case {case_num}: {title}")
print("-" * 60)
print(f"Current Stock: {current_stock} kg @ €{current_avg_cost:.2f}/kg")
print(f"New Purchase: {new_quantity} kg @ €{new_unit_cost:.2f}/kg")
new_avg_cost = calculate_weighted_average(current_stock, current_avg_cost,
new_quantity, new_unit_cost)
if current_stock > 0:
total_cost = (current_stock * current_avg_cost) + (new_quantity * new_unit_cost)
total_quantity = current_stock + new_quantity
print(f"Calculation: ({current_stock} ×{current_avg_cost:.2f} + {new_quantity} ×{new_unit_cost:.2f}) / {total_quantity}")
print(f" = (€{current_stock * current_avg_cost:.2f} + €{new_quantity * new_unit_cost:.2f}) / {total_quantity}")
print(f" = €{total_cost:.2f} / {total_quantity}")
print(f"→ New Average Cost: €{new_avg_cost:.2f}/kg")
return new_avg_cost
def test_weighted_average_calculation():
"""Run comprehensive tests of the weighted average cost calculation"""
print("=" * 80)
print("WEIGHTED AVERAGE COST CALCULATION - COMPREHENSIVE TEST SUITE")
print("=" * 80)
# Test Case 1: First Purchase (Bootstrap case)
print_test_case(
1, "First Purchase (No Existing Stock)",
current_stock=0,
current_avg_cost=0,
new_quantity=100,
new_unit_cost=5.00
)
# Test Case 2: Same Price Purchase
print_test_case(
2, "Second Purchase at Same Price",
current_stock=100,
current_avg_cost=5.00,
new_quantity=50,
new_unit_cost=5.00
)
# Test Case 3: Price Increase
avg_cost = print_test_case(
3, "Purchase at Higher Price (Inflation)",
current_stock=150,
current_avg_cost=5.00,
new_quantity=50,
new_unit_cost=6.00
)
# Test Case 4: Large Volume Discount
avg_cost = print_test_case(
4, "Large Purchase with Volume Discount",
current_stock=200,
current_avg_cost=5.25,
new_quantity=200,
new_unit_cost=4.50
)
# Test Case 5: Small Purchase After Consumption
avg_cost = print_test_case(
5, "Purchase After Heavy Consumption",
current_stock=50,
current_avg_cost=4.88,
new_quantity=100,
new_unit_cost=5.50
)
# Test Case 6: Tiny Emergency Purchase
print_test_case(
6, "Small Emergency Purchase at Premium Price",
current_stock=150,
current_avg_cost=5.29,
new_quantity=10,
new_unit_cost=8.00
)
# Summary
print("\n" + "=" * 80)
print("KEY INSIGHTS")
print("=" * 80)
print("""
✓ The weighted average considers both QUANTITY and PRICE:
- Larger purchases have more impact on the average
- Smaller purchases have minimal impact
✓ Behavior with price changes:
- Price increases gradually raise the average (dampened by existing stock)
- Price decreases gradually lower the average (dampened by existing stock)
- Volume discounts can significantly lower costs when buying in bulk
✓ Business implications:
- Encourages bulk purchasing when prices are favorable
- Protects against price spike impacts (averaged over time)
- Provides accurate COGS for financial reporting
- Helps identify procurement opportunities (compare to standard_cost)
✓ Implementation notes:
- Calculation happens automatically on every stock addition
- No user intervention required
- Logged for audit purposes
- Works with FIFO stock consumption
""")
print("=" * 80)
print("✓ All tests completed successfully!")
print("=" * 80)
if __name__ == "__main__":
test_weighted_average_calculation()