» Go: Building Event-Driven Microservices with Kafka » 4. Consumer: Recommendation Service » 4.4 Service Integration

Service Integration

Let‘s call the Recommendation Service to show user interests from the bookstore Web Service.

Move service/recommendation/domain/model/interest.go to domain/model/interest.go.

Update import paths in these files:

  • service/recommendation/application/consumer/interest.go
  • service/recommendation/application/executor/interest_operator.go
  • service/recommendation/domain/gateway/interest_manager.go
  • service/recommendation/infrastructure/database/mongo.go

Add config items in service/web/infrastructure/config/config.go:

@@ -32,4 +32,5 @@ type MQConfig struct {
 // RemoteServiceConfig is the configuration of remote services.
 type RemoteServiceConfig struct {
        TrendURL string `json:"trend_url" yaml:"trend_url"`
+       RecURL   string `json:"rec_url" yaml:"rec_url"`
 }

Put in config values in service/web/config.yml:

@@ -10,3 +10,4 @@ mq:
   topic: "lr-book-searches"
 remote:
   trend_url: "http://localhost:8081/trends"
+  rec_url: "http://localhost:8082/recommendations?uid="

Tune service/web/application/executor/book_operator.go:

@@ -61,3 +61,12 @@ func (o *BookOperator) GetTrends(ctx context.Context, trendURL string) ([]*model
        }
        return trends, nil
 }
+
+// GetInterests gets a list of user interests from the remote service
+func (o *BookOperator) GetInterests(ctx context.Context, interestURL string) ([]*model.Interest, error) {
+       var interests []*model.Interest
+       if err := remote.HttpFetch(ctx, interestURL, &interests); err != nil {
+               return nil, err
+       }
+       return interests, nil
+}

Integrate the recommendation service results in service/web/adapter/router.go:

@@ -75,12 +75,18 @@ func (r *RestHandler) indexPage(c *gin.Context) {
                log.Printf("Failed to get trends: %v", err)
                trends = make([]*model.Trend, 0)
        }
+       interests, err := r.bookOperator.GetInterests(c, r.remoteConfig.RecURL+userID)
+       if err != nil {
+               log.Printf("Failed to get interests: %v", err)
+               interests = make([]*model.Interest, 0)
+       }
        // Render the HTML template named "index.html"
        c.HTML(http.StatusOK, "index.html", gin.H{
-               "title":  "LiteRank Book Store",
-               "books":  books,
-               "trends": trends,
-               "q":      q,
+               "title":           "LiteRank Book Store",
+               "books":           books,
+               "trends":          trends,
+               "recommendations": interests,
+               "q":               q,
        })
 }

Render the recommendations in service/web/adapter/templates/index.html:

@@ -57,17 +57,13 @@
         <!-- Recommended for You Section -->
         <div>
             <h2 class="text-2xl font-bold mb-4">Recommended for You</h2>
-            <div class="grid grid-cols-2 gap-4 font-mono">
-                <!-- Recommended items can be dynamically generated here -->
-                <div class="bg-white p-2 rounded-md border-gray-300 shadow">
-                    Recommended Book 1
-                </div>
-                <div class="bg-white p-2 rounded-md border-gray-300 shadow">
-                    Recommended Book 2
-                </div>
-                <div class="bg-white p-2 rounded-md border-gray-300 shadow">
-                    Recommended Book 3
-                </div>
+            <div class="grid grid-cols-4 gap-2 font-mono">
+                {{range .recommendations}}
+                    <div class="bg-white p-4 rounded-md border-gray-300 shadow mt-2">
+                        <div class="text-lg font-bold">{{.Title}}</div>
+                        <span class="font-serif italic text-sm">{{.Author}}</span>
+                    </div>
+                {{end}}
             </div>
         </div>
     </div>

Make sure you have the trend and recommendation services running and restart your web service, you should see something like this on the index page.

Recommendations

Both services are integrated! Awesome🎉!

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