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Learn how to efficiently query the top 10 most sold products in Django between specific dates, using models and aggregations.
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How to Query the Top Seller Products in Django

Are you managing an e-commerce platform and want to find out which are your top-selling products? As a developer using Django, you may have run into the need to query products that have sold the most, within a certain time frame. This post will guide you on how to achieve this with a clear explanation and code examples.

Understanding the Models

In our scenario, we have two models defined as follows:

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Product Model: Contains details of products with a title.

Order_item Model: Links products to orders and stores how many units were sold (quantity), along with the order details and when the order was placed (date_added).

The Problem Statement

You need to find the top 10 most sold products between two dates, x and y. This information is essential for understanding demand, managing inventory, and planning marketing strategies effectively.

The Solution

To get the top-selling products, we can use Django's QuerySet API's powerful aggregation features. Below is a query that will retrieve the top-selling products based on the sum of the quantities sold within a specified date range.

Query Breakdown

Here’s the complete code sample you'll use:

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Understanding Each Part

Filtering by Date:

We use filter to specify our conditions. The query excludes orders made after today and includes orders made in the last 7 days.

Modify the range dates as necessary according to your requirements.

Annotate to Sum Quantities:

The annotate() function is crucial here. It creates an aggregate field quantity_sum which calculates the total quantity sold for each product.

We apply this sum over order_item__quantity, meaning we're summing the quantities of all order items tied to each product.

Ordering the Results:

To get the best-seller products first, we use order_by('-quantity_sum'). The minus sign - indicates descending order.

Limiting to Top 10:

Finally, [:10] ensures that we only retrieve the top 10 products based on the calculated sales.

Conclusion

You can easily customize the date range and quantity limit to suit your needs. This powerful aggregation method allows for efficient data retrieval, helping you analyze sales trends quickly.

By following the structured approach laid out in this guide, you should now be able to query the top seller products in Django with confidence. Happy coding!