Quickstart: Build a Python app using Azure Cosmos DB's API for MongoDB
Azure Cosmos DB is Microsoft’s globally distributed multi-model database service. You can quickly create and query document, key/value, and graph databases, all of which benefit from the global distribution and horizontal scale capabilities at the core of Cosmos DB.
Download the Azure Cosmos DB Emulator. The emulator is currently only supported on Windows. The sample shows how to use the sample with a production key from Azure, which can be done on any platform.
If you don’t already have Visual Studio Code installed, you can quickly install VS Code for your platform (Windows, Mac, Linux).
Be sure to add Python Language support by installing one of the popular Python extensions.
Select an extension.
Install the extension by typing
ext installinto the Command Palette
The examples in this document use Don Jayamanne's popular and full featured Python Extension.
Clone the sample application
Now let's clone a Flask-MongoDB app from GitHub, set the connection string, and run it. You see how easy it is to work with data programmatically.
Open a command prompt, create a new folder named git-samples, then close the command prompt.
Open a git terminal window, such as git bash, and use the
cdcommand to change to the new folder to install the sample app.
Run the following command to clone the sample repository. This command creates a copy of the sample app on your computer.
git clone https://github.com/Azure-Samples/CosmosDB-Flask-Mongo-Sample.git
Run the following command to install the python modules.
pip install -r .\requirements.txt
Open the folder in Visual Studio Code.
Review the code
This step is optional. If you're interested in learning how the database resources are created in the code, you can review the following snippets. Otherwise, you can skip ahead to Run the web app.
The following snippets are all taken from the app.py file and uses the connection string for the local Azure Cosmos DB Emulator. The password needs to be split up as seen below to accommodate for the forward slashes that cannot be parsed otherwise.
Initialize the MongoDB client, retrieve the database, and authenticate.
client = MongoClient("mongodb://127.0.0.1:10250/?ssl=true") #host uri db = client.test #Select the database db.authenticate(name="localhost",password='C2y6yDjf5' + r'/R' + '+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw' + r'/Jw==')
Retrieve the collection or create it if it does not already exist.
todos = db.todo #Select the collection
Create the app
app = Flask(__name__) title = "TODO with Flask" heading = "ToDo Reminder"
Run the web app
Make sure the Azure Cosmos DB Emulator is running.
Open a terminal window and
cdto the directory that the app is saved in.
Then set the environment variable for the Flask app with
$env:FLASK_APP = app.pyfor PowerShell editors, or
export FLASK_APP=app.pyif you are using a Mac.
Run the app with
flask runand browse to http://127.0.0.1:5000/.
Add and remove tasks and see them added and changed in the collection.
Create a database account
In a new window, sign in to the Azure portal.
In the left menu, select Create a resource, select Databases, and then under Azure Cosmos DB, select Create.
In the Create Azure Cosmos DB Account page, enter the settings for the new Azure Cosmos DB account.
Setting Value Description Subscription Your subscription Select the Azure subscription that you want to use for this Azure Cosmos DB account. Resource Group Create new
Then enter the same unique name as provided in ID
Select Create new. Then enter a new resource-group name for your account. For simplicity, use the same name as your ID. Account Name Enter a unique name Enter a unique name to identify your Azure Cosmos DB account. Because documents.azure.com is appended to the ID that you provide to create your URI, use a unique ID.
The ID can use only lowercase letters, numbers, and the hyphen (-) character. It must be between 3 and 31 characters in length.
API Azure Cosmos DB's API for MongoDB The API determines the type of account to create. Azure Cosmos DB provides five APIs: Core (SQL) for document databases, Gremlin for graph databases, Azure Cosmos DB's API MongoDB for document databases, Azure Table, and Cassandra. Currently, you must create a separate account for each API.
Select MongoDB because in this quickstart you are creating a table that works with the MongoDB.
Location Select the region closest to your users Select a geographic location to host your Azure Cosmos DB account. Use the location that's closest to your users to give them the fastest access to the data.
Select Review+Create. You can skip the Network and Tags section.
The account creation takes a few minutes. Wait for the portal to display the Congratulations! Your Cosmos account with wire protocol compatibility for MongoDB is ready page.
Update your connection string
If you want to test the code against a live Cosmos Account, go to the Azure portal to create an account and get your connection string information. Then copy it into the app.
In the Azure portal, in your Cosmos account, in the left navigation click Connection String, and then click Read-write Keys. You'll use the copy buttons on the right side of the screen to copy the Username, Password, and Host into the Dal.cs file in the next step.
Open the app.py file in the root directory.
Copy your username value from the portal (using the copy button) and make it the value of the name in your app.py file.
Then copy your connection string value from the portal and make it the value of the MongoClient in your app.py file.
Finally copy your password value from the portal and make it the value of the password in your app.py file.
You've now updated your app with all the info it needs to communicate with Cosmos DB. You can run it the same way as before.
Deploy to Azure
To deploy this app, you can create a new web app in Azure and enable continuous deployment with a fork of this GitHub repo. Follow this tutorial to set up continuous deployment with GitHub in Azure.
When deploying to Azure, you should remove your application keys and make sure the section below is not commented out:
client = MongoClient(os.getenv("MONGOURL")) db = client.test #Select the database db.authenticate(name=os.getenv("MONGO_USERNAME"),password=os.getenv("MONGO_PASSWORD"))
You then need to add your MONGOURL, MONGO_PASSWORD, and MONGO_USERNAME to the application settings. You can follow this tutorial to learn more about Application Settings in Azure Web Apps.
If you don't want to create a fork of this repo, you can also click the deploy to Azure button below. You should then go into Azure and set up the application settings with your Cosmos DB account info.
If you plan to store your code in GitHub or other source control options, please be sure to remove your connection strings from the code. They can be set with application settings for the web app instead.
Review SLAs in the Azure portal
The Azure portal monitors your Cosmos DB account throughput, storage, availability, latency, and consistency. Charts for metrics associated with an Azure Cosmos DB Service Level Agreement (SLA) show the SLA value compared to actual performance. This suite of metrics makes monitoring your SLAs transparent.
To review metrics and SLAs:
Select Metrics in your Cosmos DB account's navigation menu.
Select a tab such as Latency, and select a timeframe on the right. Compare the Actual and SLA lines on the charts.
Review the metrics on the other tabs.
Clean up resources
When you're done with your web app and Azure Cosmos DB account, you can delete the Azure resources you created so you don't incur more charges. To delete the resources:
In the Azure portal, select Resource groups on the far left. If the left menu is collapsed, select to expand it.
Select the resource group you created for this quickstart.
In the new window, select Delete resource group.
In the next window, enter the name of the resource group to delete, and then select Delete.
In this quickstart, you've learned how to create a Cosmos account and run a Flask app. You can now import additional data to your Cosmos database.