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azure-cosmos-db-ts-web

Express-based web application, implemented in TypeScript, using the azu-js NPM package. Featuring Azure Cosmos DB, et al.

Purpose

This web application is intended for these purposes:

  • To demonstrate the use of these Azure PaaS Services
    • Azure Cosmos DB NoSQL API
    • Azure OpenAI
    • Azure Cognitive Search
  • To provide a working Node.js and TypeScript starter application
    • Which uses the Azure SDK for JavaScript
    • Which also uses the azu-js NPM library for ease of use
    • Built on the popular Express web framework, thus suitable for either UI applications or microservices

The focus of the application is on Azure Cosmos DB NoSQL API.

The aim is to provide simple and reliable deployments via the use of a Docker image on DockerHub.

There are three documented deployment modes - code, Docker Compose, or Azure Container Instance (ACI).
Choose the deployment mode that best fits your needs.

See screenshots of the deployed application here

Architecture


Required Software

The git source control system is required for all three documented deployment modes.

Clone (i.e. - copy) this GitHub repository to your workstation/laptop with the following command:

> cd ... some chosen directory ...
> git clone https://github.com/cjoakim/azure-cosmos-db-ts-web.git
> cd azure-cosmos-db-ts-web

Directory azure-cosmos-db-ts-web will now be referred to as the GitHub root directory in this documentation.

The environment variables described below are required for all three deployment modes.

For Azure Container Instance (ACI) Deployment

For Docker Desktop and Docker Compose Deployment

  • Windows 11 Developer workstation
  • Docker Desktop installed and running

For Code-based Deployment on Workstation

  • Windows 11, macOS, or Linux Developer workstation
  • Node.js version 18 or higher

Provisioning and Deployment

Provisioning Azure PaaS Services

This GitHub project intentionally does not provision any Azure PaaS services for you; the intent is for you to use YOUR existing Azure PaaS services with this application.

Note: It is strongly recommended that you use this application only with non-production PaaS services (i.e. - Cosmos DB, OpenAI, Cognitive Search) since it uses the HTTP protocol and basic authentication.

You configure this application to use your Azure PaaS services with the environment variables listed below.

Environment Variables

This application uses the following specific environment variable names. You must set these up on your local Developer workstation.

See your PaaS services in Azure Portal to obtain the values of most of these environment variables.

Note that these environment variables are used in all modes of deployment described below - code, Docker Compose, or Azure Container Instance.

Name                                  Sample Value
------------------------------------  -----------------------------------------------
AZURE_COSMOSDB_NOSQL_RW_KEY1          ba9O...
AZURE_COSMOSDB_NOSQL_RO_KEY1          aD0X...
AZURE_COSMOSDB_NOSQL_URI              https://gbbcjcdbnosql.documents.azure.com:443/
AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT    embeddings
AZURE_OPENAI_KEY1                     b910...
AZURE_OPENAI_URL                      https://cjz5mxhd2ciwy-openai.openai.azure.com/
AZURE_SEARCH_ADMIN_KEY                j9bA...
AZURE_SEARCH_QUERY_KEY                Smeu...
AZURE_SEARCH_NAME                     gbbcjsearch
AZURE_SEARCH_URL                      https://gbbcjsearch.search.windows.net
AZURE_WEB_AUTH_USERS                  gues...
AZURE_WEB_COOKIE_AGE   (optional)     259200000
AZURE_WEB_COOKIE_KEYS  (optional)     irxG...
PORT                   (optional)     3000

AZURE_SUBSCRIPTION_ID  (optional)     <-- only used in the az CLI deployment scripts

AZURE_COSMOSDB_NOSQL_RW_KEY1 is a read-write key, while AZURE_COSMOSDB_NOSQL_RO_KEY1 is a read-only key. AZURE_COSMOSDB_NOSQL_RO_KEY1 is used in the Azure Cognitive Search Datasource - see cogsearch-baseballplayers-create.ps1.

For example, the Sample Values shown are for my deployment. The secret values shown above are truncated with ... characters for obvious reasons.

You'll need to configure a list of one or more authorized users with the AZURE_WEB_AUTH_USERS variable, in the format shown below. Note the use of a double-tilde to separate users, and single-tilde characters to delimit the id and password values for each user. Tilde characters may not be present in either the ID or Password values.

user1_id~user1_password~~user1_id~user1_password~~user1_id~user1_password

You can re-implement class AuthRouter to use an alternative authorization and authentication method, such as Microsoft Entra (formerly Azure Active Directory). See https://learn.microsoft.com/en-us/azure/active-directory/develop/tutorial-v2-nodejs-webapp-msal

The HTTP PORT defaults to 3000.

See the NPM cookie-session Express library regarding the values for the AZURE_WEB_COOKIE_KEYS and AZURE_WEB_COOKIE_AGE environment variables, but the default values used in this app should be adequate.

Setting Environment Variables

On Windows 11, one way to set environment values is with this PowerShell syntax:

> [Environment]::SetEnvironmentVariable("PORT", "3000", "User")

Set the environment variables, then restart PowerShell to see the updated environment variables.

Azure Cosmos DB NoSQL API Containers

Though you "Bring your own Cosmos DB Account" to this application, it is recommended that you create the following two Cosmos DB NoSQL API containers:

  • airports, partition key /pk, with minimum throughput
  • baseballplayers, partition key /playerID, with minimum throughput

The GitHub repository contains the following JSON data files that you can upload via the web UI. These can be used to populate the above two containers, respectively.

  • data/world-airports-50.json
  • data/baseball-players.json

Azure OpenAI

It is assumed that you have created an text-embedding-ada-002 model, in your Azure OpenAI account, whose name is specified in the AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT environment variable.

The following screenshot, for example, shows a model deployment named embeddings Azure OpenAI Studio.

Azure Cognitive Search

At this time, this project assumes that you already have an Azure Cognitive Search account with an Index populated from your Cosmos DB container.

However, script cogsearch-baseballplayers-create.ps1 can be executed to create an Azure Cognitive Search Datasource, Index, and Indexer. This script assumes that you have a Cosmos DB source database named dev with a container named baseballplayers. Modify this script as necessary. Also see the JSON schema files in the cogsearch directory of this repo.

Output below:

> tsc      <-- compiles the code on your workstation

> .\cogsearch-baseballplayers-create.ps1

deleting output tmp/search* files ...
=== delete_indexer
=== delete_index
=== delete_datasource
=== create_cosmos_nosql_datasource
=== create_index
=== create_indexer
=== get_indexer_status
=== list_datasources
=== list_indexes
=== list_indexers
=== named_search baseballplayers jeterde01_full
done

Deployment - With Docker Compose on Developer Workstation

This deployment mode assumes that you have Docker Desktop installed and running on your Windows 11 workstation.

It uses the latest version of the cjoakim/azure-cosmos-db-ts-web image on DockerHub

From PowerShell, execute the following script in the GitHub root directory:

> docker compose -f docker-compose-web.yml up

The application should be accessable from your browser at http://localhost:3000

To stop the web application enter the following command in another PowerShell window or tab:

> docker compose -f docker-compose-web.yml down

Deployment - To an Azure Container Instance (ACI)

Within your GitHub root directory, change directories into the az directory, then enter the following command:

> az login

The edit file provision-webapp-aci-prod.ps1 with your Azure subscription, and preferred resource group name, ACI resource name, and region name.

# Parameters - change these per your Azure environment
$subscription=$Env:AZURE_SUBSCRIPTION_ID
$resource_group='cosmosdbplus'
$resource_name='cosmosdbplus'
$azure_location='eastus'

Then execute this script with the following command:

> .\provision-webapp-aci-prod.ps1

Azure will then deploy the DockerHub container to the ACI instance, and the application will be available at URL http://<resource_name>.eastus.azurecontainer.io:3000/

Deployment - Using the GitHub repository source code

First, in PowerShell, install these two NPM libraries on your workstation/laptop

> npm install -g typescript
> npm install -g nodemon

Then, cd to the GitHub root directory and install the necessary NPM libraries.

> .\install.ps1

To start the web application on your workstation/laptop, run the following command, and point your web-browser to http://localhost:3000

> .\web.ps1

To stop the application enter CTRL-C in the PowerShell tab it's running in.

For macOS and Linux users, the execute the install.sh and web.sh scripts instead.


Roadmap / Development Backlog

  • Demonstrate Multi-Region configuration
  • Describe Private-Link configuration
  • Possible "show code" popups

Related GitHub Repos

A Dataset Used : The Sean Lahman Baseball Database

The Sean Lahman Baseball Database is used by this repository, under the Creative Commons License. See file data/baseball-players.json

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