A simple Python library for inventory stock calculations
Project description
Inventory Calculator
A simple, lightweight Python library for inventory stock calculations. Perfect for e-commerce, warehouse management, and inventory tracking applications.
Features
- Low Stock Detection - Instantly check if items need reordering
- Reorder Calculations - Smart recommendations for restocking
- Stock Validation - Prevent negative stock and invalid transactions
- Stock Status - Get clear status: OUT_OF_STOCK, LOW_STOCK, NORMAL, OVERSTOCKED
- Transaction Simulation - Preview transaction effects before committing
- Zero Dependencies - Pure Python, no external packages required
Installation
From Source (Local Development)
cd inventory-calculator
pip install -e .
From PyPI (After Publishing)
pip install inventory-calculator
Quick Start
Basic Usage
from inventory_calculator import is_low_stock, calculate_reorder_quantity
# Check if stock is low
if is_low_stock(current_quantity=5, min_stock_level=10):
print("Stock is low!")
# Calculate reorder quantity
reorder = calculate_reorder_quantity(
current_quantity=5,
min_stock_level=20,
max_stock_level=100
)
print(f"Reorder {reorder} units")
Using the StockCalculator Class
from inventory_calculator import StockCalculator
# Create calculator instance
calculator = StockCalculator(
current_quantity=50,
min_stock_level=10,
max_stock_level=200,
unit_price=25.99
)
# Check stock status
if calculator.is_low_stock():
print("Time to reorder!")
print(f"Order quantity: {calculator.calculate_reorder_quantity()}")
# Get detailed status
print(f"Status: {calculator.get_stock_status()}")
print(f"Stock value: ${calculator.calculate_stock_value():.2f}")
print(f"Stock level: {calculator.get_stock_percentage():.1f}%")
# Get all info as dictionary
info = calculator.to_dict()
print(info)
Transaction Validation
from inventory_calculator import validate_transaction, StockValidationError
try:
# This will raise an error - trying to remove more than available
validate_transaction(
transaction_type='OUT',
quantity=100,
current_stock=50
)
except StockValidationError as e:
print(f"Transaction error: {e}")
Simulating Transactions
from inventory_calculator import StockCalculator
calculator = StockCalculator(current_quantity=50, min_stock_level=10)
# Simulate removing 45 units
result = calculator.simulate_transaction('OUT', 45)
print(f"Original: {result['original_quantity']}")
print(f"After transaction: {result['new_quantity']}")
print(f"Will be low stock: {result['will_be_low_stock']}")
print(f"Can execute: {result['can_execute']}")
API Reference
Functions
is_low_stock(current_quantity, min_stock_level)
Check if stock is at or below minimum level.
Returns: bool
calculate_reorder_quantity(current_quantity, min_stock_level, max_stock_level=None, safety_factor=1.5)
Calculate recommended reorder quantity.
Returns: int
calculate_stock_value(quantity, unit_price)
Calculate total value of stock.
Returns: float
get_stock_status(current_quantity, min_stock_level, max_stock_level=None)
Get stock status as string.
Returns: str - One of: 'OUT_OF_STOCK', 'LOW_STOCK', 'NORMAL', 'OVERSTOCKED'
validate_transaction(transaction_type, quantity, current_stock, field_name='quantity')
Validate a stock transaction.
Raises: StockValidationError if invalid
StockCalculator Class
Methods
is_low_stock()- Check if stock is lowis_out_of_stock()- Check if completely out of stockis_overstocked()- Check if exceeds maximumget_stock_status()- Get status stringcalculate_reorder_quantity(safety_factor=1.5)- Calculate reorder amountcalculate_stock_value()- Get total stock valuecan_fulfill_order(quantity)- Check if order can be fulfilledget_stock_percentage()- Get stock as percentage of maxsimulate_transaction(type, quantity)- Preview transaction effectsto_dict()- Get all data as dictionary
Real-World Examples
Django Model Integration
from django.db import models
from inventory_calculator import is_low_stock, validate_transaction, StockValidationError
class Product(models.Model):
name = models.CharField(max_length=200)
quantity = models.IntegerField(default=0)
min_stock_level = models.IntegerField(default=10)
@property
def is_low_stock(self):
return is_low_stock(self.quantity, self.min_stock_level)
class Transaction(models.Model):
product = models.ForeignKey(Product, on_delete=models.CASCADE)
transaction_type = models.CharField(max_length=3) # IN or OUT
quantity = models.IntegerField()
def clean(self):
try:
validate_transaction(
self.transaction_type,
self.quantity,
self.product.quantity
)
except StockValidationError as e:
from django.core.exceptions import ValidationError
raise ValidationError({'quantity': str(e)})
Flask API
from flask import Flask, jsonify
from inventory_calculator import StockCalculator
app = Flask(__name__)
@app.route('/api/products/<int:product_id>/stock-info')
def get_stock_info(product_id):
# Get product from database
product = get_product_from_db(product_id)
# Use calculator
calculator = StockCalculator(
current_quantity=product.quantity,
min_stock_level=product.min_stock,
unit_price=product.price
)
return jsonify(calculator.to_dict())
Automated Reorder System
from inventory_calculator import StockCalculator
def check_and_create_purchase_orders():
products = Product.objects.all()
for product in products:
calculator = StockCalculator(
current_quantity=product.quantity,
min_stock_level=product.min_stock_level,
max_stock_level=product.max_stock_level
)
if calculator.is_low_stock():
reorder_qty = calculator.calculate_reorder_quantity()
# Create purchase order
PurchaseOrder.objects.create(
product=product,
quantity=reorder_qty,
status='PENDING'
)
print(f"Created PO for {product.name}: {reorder_qty} units")
Use Cases
- E-commerce platforms - Monitor product availability
- Warehouse management - Track inventory levels
- POS systems - Real-time stock validation
- Manufacturing - Raw material tracking
- Retail - Multi-location inventory
- Supply chain - Automated reordering
Why This Library?
This library was extracted from a production Django inventory management system to provide a reusable, framework-agnostic solution for common inventory calculations.
Benefits:
- No framework dependencies
- Battle-tested logic
- Simple API
- Well documented
- Fully tested
- Type hints included
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see LICENSE file for details
Author
Your Name - GitHub
Changelog
1.0.0 (2024)
- Initial release
- Core stock calculation features
- Transaction validation
- Stock status detection
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file inventory_calculator-1.0.0.tar.gz.
File metadata
- Download URL: inventory_calculator-1.0.0.tar.gz
- Upload date:
- Size: 9.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
069f80c91cbb332ea7d5c30ff65f2fba33ef6f0952e42639735731c9e7ccca01
|
|
| MD5 |
2c9b8353a5c113204aa383eb762a00fb
|
|
| BLAKE2b-256 |
e8cd88fc843861451f7fead3d45d1e4451bdd10924cd76eead8942290e149109
|
File details
Details for the file inventory_calculator-1.0.0-py3-none-any.whl.
File metadata
- Download URL: inventory_calculator-1.0.0-py3-none-any.whl
- Upload date:
- Size: 11.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4129ca0aa694b1559fbdb54a8b800be5510a64bcf02bc4b44608fa8234bdfc5a
|
|
| MD5 |
b3493f227c35d0faa804b9536aceb4e3
|
|
| BLAKE2b-256 |
f0bd8372ac67d9bc5d30bc8989e372bea09810293d1a2fd4c1f8ce4789e2f512
|