Integrating Vending Slots With A Hierarchical Pricing System

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Hey guys! Today, we're diving deep into a critical integration task: connecting our vending machine slots with our existing hierarchical pricing system. This is super important because, right now, the price for each product in a vending machine slot is entered manually. This manual process bypasses the awesome hierarchical pricing system we've already built. So, let's fix that!

The Problem: Manual Price Input

Currently, when we assign a product to a vending machine slot, the price is entered manually. I'm talking about seeing code like this:

// En /api/vending-machine-slots/assign-product
// ❌ Manual price - INCORRECT
POST { slot_id, product_id, price: 2.50 }

This method, my friends, is incorrect! It completely ignores our sophisticated pricing system and opens the door for inconsistencies and errors. We want a system where the price is automatically determined based on a set of rules and hierarchies, ensuring we're always offering the right price at the right location.

The Solution: Automatic Price Resolution

What we need is a system that automatically figures out the price. Imagine a world where assigning a product to a slot looks like this:

// ✅ Automatically resolve price
POST { slot_id, product_id }

Much cleaner, right? Here’s how the backend should handle this:

  1. Get the vending machine associated with the slot.
  2. Get the service point (like a store or location) the machine is in.
  3. Get the location of that service point. Think of it like drilling down from the slot to the machine, then to the service point, and finally to the location.
  4. Call our pricing resolver API (POST /api/precios/resolver) with all the juicy details: { product_id, location_id, csp_id }.
  5. Return the correct, hierarchical price.

This way, we ensure the price is determined dynamically, taking into account all the relevant factors like product, location, and service point. It's all about making things smart and automated.

The Price Resolution Flow

To visualize this, think of it as a chain:

Slot → Vending Machine → Service Point → Location
                                            ↓
                        Hierarchical Pricing System
                                            ↓
                    Correct automatic price ✅

We start at the slot, trace our way back to the location, and then leverage our pricing system to get the right price. This is the way, guys!

Implementation Steps

Okay, let's get down to the nitty-gritty of how we're going to implement this. We'll break it down into manageable steps.

1. Update the Assign Product Endpoint

First, we need to tweak the endpoint that assigns products to slots. This is where the magic happens. Let's look at the code:

// pages/api/vending-machine-slots/assign-product.ts

// Before (manual):
await slotService.assignProduct(slotId, productId, price);

// After (automatic):
const machine = await vendingMachineService.findById(machineId);
const servicePoint = await servicePointService.findById(machine.service_point_id);
const price = await priceService.resolver({
  product_id: productId,
  location_id: servicePoint.location_id,
  csp_id: servicePoint.id
});
await slotService.assignProduct(slotId, productId, price);

See the difference? We're ditching the manual price input and embracing the automatic price resolution. We're fetching the machine, the service point, and then calling our priceService.resolver to get the correct price. This is the heart of the integration.

2. Update the Validation Schema

Next, we need to update our validation schema. Since we're no longer accepting a manual price, we need to remove it from the schema. It's all about keeping things clean and preventing errors.

// src/schemas/vending-machine-slot.schema.ts

// Remove 'price' field from assignProductSchema
export const assignProductSchema = z.object({
  slot_id: z.string().uuid(),
  product_id: z.string().uuid(),
  // price: z.number().positive(), // ❌ REMOVE
});

We're saying goodbye to the price field. It's been real, but we're moving on to bigger and better things.

3. Update the Tests

Finally, and this is super important, we need to update our tests. We want to make sure our new automatic price resolution is working flawlessly. Tests are our safety net, ensuring we don't break anything along the way.

// __tests__/api/vending-machines/slots.test.ts

it('should assign product with automatic price resolution', async () => {
  // Mock price service
  jest.spyOn(priceService, 'resolver').mockResolvedValue(2.50);
  
  const res = await request(app)
    .post('/api/vending-machine-slots/assign-product')
    .send({ slot_id, product_id }); // No manual price
  
  expect(res.status).toBe(200);
  expect(priceService.resolver).toHaveBeenCalledWith({
    product_id,
    location_id: expect.any(String),
    csp_id: expect.any(String)
  });
});

In our test, we're mocking the priceService.resolver to return a specific value (2.50 in this case). We're then sending a request to our endpoint without a manual price and asserting that the priceService.resolver is called with the correct parameters. This gives us confidence that our integration is working as expected. Testing is key.

Files to Modify

To make this happen, we'll need to modify a few files. Think of it as a surgical operation on our codebase. Here's the list:

  • [ ] pages/api/vending-machine-slots/assign-product.ts
  • [ ] src/controllers/vending_machine_slot.controller.ts
  • [ ] src/services/vending_machine_slot.service.ts
  • [ ] src/schemas/vending-machine-slot.schema.ts
  • [ ] __tests__/api/vending-machines/slots.test.ts

Each of these files plays a crucial role in the integration. We'll be diving into each one to make the necessary changes.

Acceptance Criteria

How do we know we've succeeded? What are the criteria for success? Here's what we're aiming for:

  • [ ] Assigning a product should NOT require a manual price.
  • [ ] The system should automatically call price.resolver().
  • [ ] The correct hierarchical price should be applied. This is the ultimate goal..
  • [ ] Tests should verify the complete integration. No integration is complete without proper testing.
  • [ ] The dashboard should display the correct prices.

These criteria are our North Star, guiding us to a successful integration. If we meet these, we know we've done a good job.

Dependencies

Of course, no task exists in isolation. We have some dependencies to consider:

  • Requires: #1 (POST /api/precios)
  • Requires: Endpoint /api/precios/resolver functioning

We need to make sure these dependencies are in place before we can proceed. It's like building a house; you need the foundation before you can put up the walls.

Impact

Finally, let's talk about the impact of this integration. It's not just a small tweak; it's a critical piece of the puzzle. Without it, our pricing system is broken. This is a big deal.

🔴 CRITICAL - The pricing system doesn't work without this.

This integration is essential for the overall health and functionality of our system. We need to get this right. So, let's roll up our sleeves and get to work!

By implementing these changes, we're not just fixing a bug; we're building a more robust, reliable, and scalable system. And that, my friends, is something to be proud of. Let's get this done!

Remember, the key to success here is understanding the flow, writing good tests, and communicating effectively. We're all in this together, and together, we'll make this integration a resounding success. Let's do it!

So, that's the plan, guys! We're going to integrate vending slots with our pricing system, making everything more automated and consistent. Remember to keep these points in mind:

  • Understand the problem: Manual prices are bad.
  • Embrace the solution: Automatic price resolution is the way to go.
  • Follow the steps: Update the endpoint, schema, and tests.
  • Consider the impact: This is critical for our pricing system.

Let's get started and make this happen! You've got this!