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CONFIGURATION.md

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Note

All the steps reported in this file must be executed inside the azure-cli container:

> docker exec -it azure-cli bin/bash

Resource group

If you want to change the name of the resources or other parameters, you can do it by modifying the architecture/main.bicep file.

Note

Make sure that all the required fields in the main.bicep file have been filled in (e.g., var administratorLoginPassword).

Proceed then to create the resource group and the resources:

> cd home
> az login
> az group create --name <NAME> --location <LOCATION>
> az deployment group create --resource-group <NAME> --template-file main.bicep

Check the newly created resource by heading into the Azure Portal.

From there you must manually create the Azure Stream Analytics resource.

Environment secrets

As access keys and connection strings are required, it is necessary to add or modify the following files:

  • .env, inside architecture/agents. The file should contain:
    • COSMOS_CONNECTION_STR='primary connection string of CosmosDB resource'
  • local.settings.json, inside architecture/functions/cosmosTrigger. The file should contain:
{
  "IsEncrypted": false,
  "Values": {
    "FUNCTIONS_WORKER_RUNTIME": "python",
    "AzureWebJobsFeatureFlags": "EnableWorkerIndexing",
    "AzureWebJobsStorage": "CONNECTION STRING OF THE STORAGE ACCOUNT",
    "CosmosDBConnection": "CONNECTION STRING OF COSMOSDB RESOURCE",
    "EventHubConnection": "CONNECTION STRING OF EVENTHUB RESOURCE"
  }
}

The latter file is required to correctly deploy the trigger function in the cloud. The function has been created following this steps and lives inside architecture/functions/cosmosTrigger.

To deploy it into Azure to effectively make it work you must push the function using:

> cd home/functions/cosmosTrigger
> func azure functionapp publish <FUNCTION_APP_RESOURCE_NAME> --publish-local-settings

Setup PostgreSQL

When deploying resources, the required tables are not automatically created. Therefore, it is necessary to proceed via the CLI.

> psql --host=<POSTGRESQL_RESOURCE_URL> --port=5432 --username=<ADMINISTATOR_LOGIN> --dbname=<DB_NAME>
You will be prompted to enter the password

I provide just one example of table creation, which should reflect the same name in the output of queries in Azure Stream Analytics (see the next step).

> CREATE TABLE coords (
    icao24bit VARCHAR(50),
    latitude VARCHAR(50),
    longitude VARCHAR(50),
    ts TIMESTAMP
);

Setup ASA

Head over into the Azure Portal and access the Azure Stream Analytics resource.

Click on Query and from there fill the following field:

  • Input (EventHub): it should find automatically the eventhub resource and related connection parameters
  • Output (PostgreSQL)
    1. Alias queryCoords; In the Table field insert the relative table previously created
    2. Alias queryNFlights; //
    3. Alias queryFTable; //

In the query editor insert:

/*
coords
*/

SELECT DISTINCT "icao_24bit"
    "icao_24bit",
    "latitude",
    "longitude",
    "ts"
INTO queryCoords
FROM
    [flights-eventhub]
ORDER BY
    "fr_id",
    "ts" DESC;


/*
current n flights
*/

SELECT DISTINCT "fr_id"
    "fr_id",
    "ts"
INTO queryNFlights
FROM
    [flights-eventhub]
ORDER BY
    "fr_id",
    "ts" DESC;


/*
flights table
*/
SELECT DISTINCT "registration"
    "registration",
    "origin_airport_iata",
    "destination_airport_iata",
    "ts"
INTO queryFTable
FROM
    [flights-eventhub]
WHERE "origin_airport_iata" != ""
ORDER BY
    "ts" DESC;