Data Models in the Gateway Protocol define the structure and validation rules for structured data assets. When using the Go SDK, Data Models ensure type safety and data consistency across your applications.

​
Understanding Data Models

Before working with structured data assets in Go, it’s essential to understand:

  • Data Models are immutable schemas that define data structure
  • They use JSON Schema for validation rules
  • Every structured data asset must conform to a Data Model

​
Creating Data Models

Create Data Models using the SDK’s strongly typed interfaces:

import (
   "fmt"
   gateway "github.com/GatewayLabs/gateway-go-sdk/client"
)

func createEmployeeModel(client *gateway.SDK) error {
   // Define the schema properties
   schema := map[string]interface{}{
       "title": "Employee",
       "type": "object",
       "required": []string{"firstName", "email", "department"},
       "properties": map[string]interface{}{
           "firstName": map[string]interface{}{
               "type": "string",
               "title": "First Name",
               "description": "Employee's first name",
               "minLength": 2,
           },
           "lastName": map[string]interface{}{
               "type": "string",
               "title": "Last Name",
               "description": "Employee's last name",
               "minLength": 2,
           },
           "email": map[string]interface{}{
               "type": "string",
               "title": "Email",
               "description": "Corporate email address",
               "format": "email",
           },
           "department": map[string]interface{}{
               "type": "string",
               "title": "Department",
               "description": "Employee's department",
           },
           "profilePhoto": map[string]interface{}{
               "type": "string",
               "title": "Profile Photo",
               "description": "Employee's profile picture",
               "contentMediaType": "image/png",
           },
       },
       "additionalProperties": false,
   }

   // Create the data model
   tags := []string{"HR", "Employee", "Profile"}
   model, err := client.DataModel.Create(gateway.CreateDataModelRequest{
       Title:       "Employee Profile",
       Description: "Standard employee information schema",
       Tags:        &tags,
       Schema:      schema,
   })
   if err != nil {
       return fmt.Errorf("failed to create data model: %w", err)
   }

   fmt.Printf("Created Data Model with ID: %d\n", model.Id)
   return nil
}

​
Data Model Structure

Data Models in Go use maps and interfaces to represent JSON Schema structures:

// Example of a complex schema structure
schema := map[string]interface{}{
    "type": "object",
    "properties": map[string]interface{}{
        // String validation
        "username": map[string]interface{}{
            "type":      "string",
            "minLength": 3,
            "maxLength": 20,
            "pattern":   "^[a-zA-Z0-9_]+$",
        },

        // Number validation
        "age": map[string]interface{}{
            "type":    "number",
            "minimum": 0,
            "maximum": 120,
        },

        // Array validation
        "skills": map[string]interface{}{
            "type":        "array",
            "minItems":    1,
            "maxItems":    10,
            "uniqueItems": true,
            "items": map[string]interface{}{
                "type": "string",
            },
        },

        // Object validation
        "contact": map[string]interface{}{
            "type": "object",
            "required": []string{"email"},
            "properties": map[string]interface{}{
                "email": map[string]interface{}{
                    "type":   "string",
                    "format": "email",
                },
                "phone": map[string]interface{}{
                    "type": "string",
                    "pattern": "^\\+[1-9]\\d{1,14}$",
                },
            },
        },
    },
}

​
Retrieving Data Models

The SDK provides several methods to fetch and query Data Models:

// Get a specific Data Model by ID
modelID := int64(123456789)
model, err := client.DataModel.GetById(modelID)
if err != nil {
    log.Fatalf("Failed to get data model: %v", err)
}
fmt.Printf("Retrieved model: %s (ID: %d)\n", model.Title, model.Id)

// List Data Models created by the current user (paginated)
page := 1
pageSize := 10
myModels, err := client.DataModel.GetMy(page, pageSize)
if err != nil {
    log.Fatalf("Failed to list models: %v", err)
}

for _, model := range myModels.Data {
    fmt.Printf("Model: %s (ID: %d)\n", model.Title, model.Id)
}

​
Validating Against Data Models

When creating data assets, ensure your data conforms to the model’s schema:

func createEmployeeAsset(client *gateway.SDK, modelID int64, employeeData map[string]interface{}) error {
    // Define access control
    acl := []gateway.ACLRequest{{
        Address: "recipient-did",
        Roles: []gateway.TypesAccessLevel{gateway.RoleView},
    }}

    // Create data asset
    tags := []string{"employee"}
    asset, err := client.DataAssets.Upload(gateway.CreateDataAssetRequest{
        Name:        "New Employee Profile",
        DataModelId: &modelID,
        Tags:        &tags,
        Claim:       &employeeData,
        Acl:         &acl,
    })
    if err != nil {
        return fmt.Errorf("failed to create asset: %w", err)
    }

    fmt.Printf("Created asset with ID: %d\n", asset.Id)
    return nil
}

// Usage example
employeeData := map[string]interface{}{
    "firstName":    "Jane",
    "lastName":     "Doe",
    "email":        "jane.doe@company.com",
    "department":   "Engineering",
    "profilePhoto": "https://company.com/photos/jane.png",
}

if err := createEmployeeAsset(client, modelID, employeeData); err != nil {
    log.Fatal(err)
}

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