model: add .env.example

.env.example

@@ -0,0 +1,9 @@
+AZURE_CLIENT_ID: 
+AZURE_TENANT_ID: 
+AZURE_CLIENT_SECRET: 
+AZURE_CLIENT_SECRET_ID: 
+AZURE_APPLICATION_ID: 
+AZURE_SUBSCRIPTION_ID: 
+AZURE_RESOURCE_ID: /subscriptions/<subscription-id>/resourceGroups/<resource-group-name>/providers/Microsoft.Compute/virtualMachines/<vm-name>
+AZURE_RESOURCE_GROUP_NAME: 
+AZURE_VM_NAME: 

src/__tests__/unit/lib/azure-importer/index.test.ts

@@ -10,7 +10,7 @@ describe('sci:configure test', () => {
       model.execute([
         {
           duration: 3600,
-          timestamp: '2021-01-01T00:00:00Z',
+          timestamp: '2023-11-01T14:45:00Z',
           interval: 'PT1M',
           timespan: 'PT1H',
           aggregation: 'average',

src/lib/azure-importer/index.ts

@@ -89,15 +89,20 @@ export class AzureImporterModel implements IOutputModelInterface {
     });
 
     //Call the function and get data back in AzureOutputs object
-    const rawResults = this.getVmUsage(
+    const rawResults = await this.getVmUsage(
       myRG,
       myVM,
       mySubscriptionId,
       this.timespan,
       this.interval,
       this.aggregation
     );
-    console.log(rawResults);
+
+    console.log('rawResults', rawResults);
+
+    for (let i = 0; i < rawResults.timestamps.length; i++) {
+      console.log(i);
+    }
 
     // here we need to iterate over elements in each field in `rawResults: AzureOutputs` and append each value to our yaml file
     // --->
@@ -161,7 +166,6 @@ export class AzureImporterModel implements IOutputModelInterface {
       }
     );
 
-    console.log('RAM Usage:');
     for (const timeSeries of ramMetricsResponse.value[0].timeseries || []) {
       for (const data of timeSeries.data || []) {
         if (!(typeof data.average === 'undefined')) {