Round #567

09 May 2026, 23:15· csharp· Meta-Llama-3.3-70B-Instruct· r13-clean-hints
Complexity
band 0
ZP / UO / OBS
3 / 4 / 0
Journey weight
402
Lightshift ΔL

Prompt

Write a SQL query that returns the top 5 customers by total spend in 2025.

Zero-point index (what the engine surfaced)

ZPI-ZPI-0001 | 2026-05-09T23:15:17Z Write a SQL query that returns the top 5 customers by total spend in 2025. ZERO POINT — 3 entries (structural invariants) ● hsl(27.69, 100%, 50%) async [feature] ● hsl(145.64, 100%, 50%) Task of T [feature] ● hsl(348.72, 100%, 36%) IDisposable [feature] UNOBSERVED — 4 entries (implied truths) ○ hsl(9.23, 100%, 50%) interface [feature] ○ hsl(180.92, 100%, 28%) Database health check [function] ○ hsl(144.00, 100%, 42%) Connection resilience [function] ○ hsl(83.08, 100%, 42%) ILogger of T injection [function] OBSERVED — 0 entries (explicit in request) COMPLEXITY │ 7 entries │ spread: 172° │ band: LOW

Baseline response (no ZPI)

**SQL Query: Top 5 Customers by Total Spend in 2025** ```sql SELECT c.customer_name, SUM(o.order_total) AS total_spend FROM customers c JOIN orders o ON c.customer_id = o.customer_id WHERE EXTRACT(YEAR FROM o.order_date) = 2025 GROUP BY c.customer_name ORDER BY total_spend DESC LIMIT 5; ``` **Explanation:** 1. We join the `customers` table with the `orders` table on the `customer_id` column. 2. We filter the orders to only include those made in the year 2025 using the `EXTRACT` function. 3. We group the results by the `customer_name` column. 4. We calculate the total spend for each customer using the `SUM` aggregation function. 5. We sort the results in descending order by total spend using the `ORDER BY` clause. 6. We limit the results to the top 5 customers using the `LIMIT` clause. **Assumptions:** * The `customers` table has a column named `customer_name`. * The `orders` table has columns named `customer_id`, `order_date`, and `order_total`. * The `order_date` column is of a date or timestamp data type. **Example Use Case:** Suppose we have the following data: `customers` table: | customer_id | customer_name | | --- | --- | | 1 | John Smith | | 2 | Jane Doe | | 3 | Bob Johnson | `orders` table: | order_id | customer_id | order_date | order_total | | --- | --- | --- | --- | | 1 | 1 | 2025-01-01 | 100.00 | | 2 | 1 | 2025-02-01 | 200.00 | | 3 | 2 | 2025-03-01 | 50.00 | | 4 | 3 | 2025-04-01 | 300.00 | | 5 | 1 | 2025-05-01 | 400.00 | Running the query would return: | customer_name | total_spend | | --- | --- | | John Smith | 700.00 | | Bob Johnson | 300.00 | | Jane Doe | 50.00 | | ... | ... | Note that the actual results would depend on the data in your tables.

Enhanced response (with ZPI)

```csharp using Microsoft.EntityFrameworkCore; using Microsoft.Extensions.Logging; public class CustomerRepository { private readonly DbContext _context; private readonly ILogger<CustomerRepository> _logger; public CustomerRepository(DbContext context, ILogger<CustomerRepository> logger) { _context = context; _logger = logger; } public async Task<List<Customer>> GetTopCustomersBySpendAsync(int year, int topN) { try { var query = _context.Customers .Include(c => c.Orders) .ThenInclude(o => o.OrderDetails) .Where(c => c.Orders.Any(o => o.OrderDate.Year == year)) .OrderByDescending(c => c.Orders .Where(o => o.OrderDate.Year == year) .Sum(o => o.OrderDetails.Sum(od => od.UnitPrice * od.Quantity))) .Take(topN); return await query.ToListAsync(); } catch (Exception ex) { _logger.LogError(ex, "Error retrieving top customers by spend"); throw; } } } public class Customer { public int Id { get; set; } public string Name { get; set; } public ICollection<Order> Orders { get; set; } } public class Order { public int Id { get; set; } public DateTime OrderDate { get; set; } public ICollection<OrderDetail> OrderDetails { get; set; } } public class OrderDetail { public int Id { get; set; } public decimal UnitPrice { get; set; } public int Quantity { get; set; } } ``` This C# code defines a `CustomerRepository` class that uses Entity Framework Core to query a database for the top 5 customers by total spend in a given year. The `GetTopCustomersBySpendAsync` method takes two parameters: `year` and `topN`, which specify the year and the number of top customers to return, respectively. The method uses LINQ to query the database, joining the `Customers`, `Orders`, and `OrderDetails` tables to calculate the total spend for each customer in the specified year. The results are ordered in descending order by total spend and limited to the top N customers. The method also includes error handling, logging any exceptions that occur during the query using the `ILogger` interface. To use this code, you would need to create a DbContext class that defines the database context and the DbSets for the `Customers`, `Orders`, and `OrderDetails` tables. You would also need to register the `CustomerRepository` class in the dependency injection container and provide an instance of the `ILogger` interface. For example, you could use the following SQL query to create the tables: ```sql CREATE TABLE Customers ( Id INT PRIMARY KEY, Name NVARCHAR(50) ); CREATE TABLE Orders ( Id INT PRIMARY KEY, CustomerId INT, OrderDate DATE, FOREIGN KEY (CustomerId) REFERENCES Customers(Id) ); CREATE TABLE OrderDetails ( Id INT PRIMARY KEY, OrderId INT, UnitPrice DECIMAL(10, 2), Quantity INT, FOREIGN KEY (OrderId) REFERENCES Orders(Id) ); ``` Note that this is just an example and you would need to modify the code and the database schema to fit your specific requirements.

Grader chain

Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.

V1samba/Meta-Llama-3.3-70B-Instruct
Better
V4qwen2.5-coder-3b-instruct
Better
V5cerebras/qwen-3-235b-a22b-instruct-2507
Better
V7qwen2.5-coder-7b-instruct
Better
V8openai/gpt-4.1
Better
V9anthropic/claude-opus-4-7
Better
V12openai/gpt-4o
Better

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