web summit demo #3
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Sourcery Review:
PR Type: Enhancement
Summary of PR: This PR introduces a new script for managing an inventory database with basic operations like adding, removing, and updating products.
General PR suggestions
- Consider encapsulating database operations within a separate class or module to separate concerns and improve maintainability.
- Implement error handling for database operations to ensure the application can recover from or properly report database-related issues.
- Use context managers for database connections to ensure they are properly closed even in the event of an error.
| from datetime import datetime | ||
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| # Database connection setup | ||
| conn = sqlite3.connect('enterprise_inventory.db') |
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suggestion(medium-importance): Consider using a context manager to handle the database connection to ensure it is closed properly.
| return self._products.get(product_id) | ||
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| def __del__(self): | ||
| conn.close() |
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issue(high-importance): The del method is not a reliable place for cleanup like closing database connections. Consider using context managers or explicit close calls.
| # A class to represent the inventory | ||
| class Inventory: | ||
| def __init__(self): | ||
| self._products = self._load_products() |
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suggestion(medium-importance): Loading all products into memory might not be scalable for a large inventory. Consider fetching data on demand.
| self._products = self._load_products() | ||
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| def _load_products(self): | ||
| cursor.execute("SELECT * FROM inventory") |
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suggestion(medium-importance): Using 'SELECT *' is generally discouraged as it may lead to unnecessary data transfer if not all columns are needed.
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| def _load_products(self): | ||
| cursor.execute("SELECT * FROM inventory") | ||
| return {row[0]: {'product_name': row[1], 'quantity': row[2], 'last_updated': row[3]} for row in cursor.fetchall()} |
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suggestion(medium-importance): Consider using named tuples or a custom class for better readability and maintainability of the row data structure.
| return {row[0]: {'product_name': row[1], 'quantity': row[2], 'last_updated': row[3]} for row in cursor.fetchall()} | ||
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| def add_product(self, product_name, quantity): | ||
| if not isinstance(product_name, str) or not isinstance(quantity, int): |
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suggestion(low-importance): Type checking for arguments can be improved by using Python's type hinting feature.
| if product_id not in self._products: | ||
| raise ValueError("Product ID does not exist in inventory.") | ||
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| cursor.execute("DELETE FROM inventory WHERE product_id = ?", (product_id,)) |
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suggestion(medium-importance): It's good practice to check the affected rows after a DELETE operation to ensure a product was actually removed.
| if product_id not in self._products: | ||
| raise ValueError("Product ID does not exist in inventory.") | ||
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| new_quantity = self._products[product_id]['quantity'] + quantity_change |
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suggestion(medium-importance): Consider adding a check to ensure that the quantity_change does not result in a negative quantity before updating the database.
| self._products[product_id].update({'quantity': new_quantity, 'last_updated': now}) | ||
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| def get_product_info(self, product_id): | ||
| return self._products.get(product_id) |
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suggestion(low-importance): Returning None for a non-existent product_id might be ambiguous. Consider raising an exception or returning a more descriptive result.
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