| title | Build and deploy a Python web app with Azure Container Apps |
|---|---|
| description | Describes how to create a container from a Python web app and deploy it to Azure Container Apps, a serverless platform for hosting containerized applications. |
| ms.topic | conceptual |
| ms.date | 09/14/2022 |
| ms.custom | devx-track-python |
| ms.prod | azure-python |
| author | jessmjohnson |
| ms.author | jejohn |
This article is part of a tutorial about how to containerize and deploy a Python web app to Azure Container Apps. Container Apps enable you to deploy containerized apps without managing complex infrastructure.
In this part of the tutorial, you learn how to containerize a Python sample web app (Django or Flask). You'll build the container image in the cloud and deploy it to Azure Container Apps. You'll define environment variables that enable the container to connect to an Azure Database for PostgreSQL - Flexible Server instance, where the sample app stores data.
The service diagram shown below highlights the components covered in this article, namely building and deploying a container image.
:::image type="content" source="./media/tutorial-container-apps/service-diagram-overview-for-tutorial-deploy-python-azure-container-apps-deploy.png" alt-text="A screenshot of the services in the Tutorial - Deploy a Python App on Azure Container Apps. Section highlighted is what is covered in this article." lightbox="./media/tutorial-container-apps/service-diagram-overview-for-tutorial-deploy-python-azure-container-apps-deploy.png":::
You can fork and clone the sample code to your developer environment. You can also download the code repo to your local machine without forking. However, you won't be able to set up CI/CD discussed later in the tutorial.
To fork and clone do the following:
Step 1. Go to the repository of the sample app (Django or Flask) and select Fork.
Follow the steps to fork the directory to your GitHub account.
Step 2. Use the git clone command to clone the forked repo into the python-code-to-cloud folder:
# Django
git clone https://github.com/$USERNAME/msdocs-python-django-azure-container-app.git python-code-to-cloud
# Flask
# git clone https://github.com/$USERNAME/msdocs-python-flask-azure-container-app.git python-code-to-cloud
Step 3. Change directory.
cd python-code-to-cloud
After following these steps, you'll have an Azure Container Registry and a Docker container image built from the sample code.
:::row::: :::column span="2"::: Step 1. In the Azure portal, search for "container registries" and select the Container Registries service in the results. :::column-end::: :::column::: :::image type="content" source="media/tutorial-container-apps/azure-portal-build-image-01.png" alt-text="Screenshot showing how to search for container registries services in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-build-image-01.png"::: :::column-end::: :::row-end::: :::row::: :::column span="2"::: Step 2. Select + Create to start the create process. :::column-end::: :::column::: :::image type="content" source="media/tutorial-container-apps/azure-portal-build-image-02.png" alt-text="Screenshot showing how to start creating a new Azure Container Registry in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-build-image-02.png"::: :::column-end::: :::row-end::: :::row::: :::column span="2"::: Step 3. Fill out the form and specify. * Resource group → Create a new one named pythoncontainer-rg. * Registry name → The registry name must be unique within Azure, and contain 5-50 alphanumeric characters. * Location → Select a location. * SKU → Select Standard.
When finished, select **Review + create**. After validation is complete, select **Create**.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/azure-portal-build-image-03.png" alt-text="Screenshot showing how to start specify a new Azure Container Registry in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-build-image-03.png":::
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 4. Open Azure Cloud Shell.
You can also open Azure Cloud Shell selecting the Cloud Shell icon in the top menu bar of any portal window.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/azure-portal-build-image-04.png" alt-text="Screenshot showing how to access Azure Cloud Shell in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-build-image-04.png":::
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 5. Use the az acr build command to build the image from the repo.
Specify the registry name and resource group you created above. For `<repo-path>`, choose either the [Django][1] or [Flask][2] repo path.
```bash
az acr build --registry <registry-name> \
--resource-group pythoncontainer-rg \
--image pythoncontainer:latest <repo-path>
```
Go to the registry's **Repositories** resource and confirm the image shows up.
:::column-end:::
:::row-end:::
These steps require the Docker extension for VS Code.
:::row::: :::column span="2"::: Step 1. Start the build image task.
* Select **F1** or **CTRL+SHIFT+P** to open the command palette.
* Type "Azure Container Registry".
* Select the task **Azure Container Registry: Build Image in Azure**.
If you don't see the **Build Image in Azure** task, check if you are signed into Azure. Alternatively, right-click the *Dockerfile* and select **Build Image in Azure**.
This UI action starts the same create registry task.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/visual-studio-code-build-image-01.png" alt-text="Screenshot showing how to start creating a new Azure Container Registry in Visual Studio Code." lightbox="media/tutorial-container-apps/visual-studio-code-build-image-01.png":::
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 2. Follow the prompts to create a registry, a resource group, and build the image.
* **Tag image as** → Enter *pythoncontainer:latest*.
* **Create new registry** → Select this option to create new registry.
* **Registry name** → The registry name must be unique within Azure, and contain 5-50 alphanumeric characters.
* **Select a SKU** → Select **Basic**.
* **Create a new resource group** → Select this option to create resource group.
* **Resource group** → Create a new resource group named *pythoncontainer-rg*.
* **Location** → Select a location and wait a few seconds for the final prompt for the base image OS.
* **Select OS** → Select **Linux**.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/visual-studio-code-build-image-02.gif" alt-text="Screenshot showing how to start creating a new Azure Container Registry in Visual Studio Code." lightbox="media/tutorial-container-apps/visual-studio-code-build-image-02.gif":::
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 3. Confirm the registry was created.
Select the Docker extension and to the **Registries** section. Expand the Azure node to find the new Azure Container Registry.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/visual-studio-code-build-image-03.png" alt-text="Screenshot showing how to confirm the Azure Container Registry was created in Visual Studio Code." lightbox="media/tutorial-container-apps/visual-studio-code-build-image-03.png":::
:::column-end:::
:::row-end:::
Azure CLI commands can be run in the Azure Cloud Shell or on a workstation with the Azure CLI installed.
:::row::: :::column span="1"::: Step 1. Create a resource group with the az group create command.
```bash
az group create \
--name pythoncontainer-rg \
--location <location>
```
*\<location>* is one of the Azure location *Name* values from the output of the command `az account list-locations -o table`.
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 2. Create a container registry with the az acr create command.
```bash
az acr create \
--resource-group pythoncontainer-rg \
--name <registry-name> \
--sku Basic \
--admin-enabled
```
*\<registry-name>* must be unique within Azure, and contain 5-50 alphanumeric characters.
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 3. Sign in to the registry using the az acr login command.
```bash
az acr login --name <registry-name>
```
The above command adds "azurecr.io" to the name to create the fully qualified registry name. If successful, you'll see the message "Login Succeeded". If you're accessing the registry from a subscription different from the one in which the registry was created, use the `--suffix` switch.
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 4. Build the image with the az acr build command.
```bash
az acr build \
--registry <registry-name> \
--resource-group pythoncontainer-rg \
--image pythoncontainer:latest .
```
Note that:
* The dot (".") at the end of the command indicates the location of the source code to build. If you aren't running this command in the sample app root directory, specify the path to the code.
* If you leave out the `-t` (same as `--image`) option, the command queues a local context build without pushing it to the registry. Building without pushing can be useful to check that the image builds.
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 5. Confirm the container image was created with the az acr repository list command.
```bash
az acr repository list --name <registry-name>
```
:::column-end:::
:::row-end:::
:::row::: :::column span="2"::: Step 1. In Azure portal, search for "postgres flexible" and select the Azure Database for PostgreSQL flexible servers service in the results. :::column-end::: :::column::: :::image type="content" source="media/tutorial-container-apps/azure-portal-create-postgres-server-01.png" alt-text="Screenshot showing how to search for Azure PostgreSQL Flexible Server resources in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-create-postgres-server-01.png"::: :::column-end::: :::row-end::: :::row::: :::column span="2"::: Step 2. Select + Create to start the create process. :::column-end::: :::column::: :::image type="content" source="media/tutorial-container-apps/azure-portal-create-postgres-server-02.png" alt-text="Screenshot showing how to create an Azure PostgreSQL Flexible Server instance in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-create-postgres-server-02.png"::: :::column-end::: :::row-end::: :::row::: :::column span="2"::: Step 3. Fill out the Basics form as follows:
* **Resource group** → The resource group used in this tutorial "pythoncontainer-rg".
* **Server name** → Enter a name for the database server that's unique across all Azure. The database server's URL becomes `https://<server-name>.postgres.database.azure.com`. Allowed characters are `A`-`Z`, `0`-`9`, and `-`. For example: *postgres-db-\<unique-id>*.
* **Region** → The same region you used for the resource group.
* **Admin username** → Use *demoadmin*.
* **Password** and **Confirm password** → A password that you'll use later when connecting the container app to this database.
For all other settings, leave the defaults. When done, select **Networking** to go to the networking page.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/azure-portal-create-postgres-server-03.png" alt-text="Screenshot showing how to specify basic settings of an Azure PostgreSQL Flexible Server instance in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-create-postgres-server-03.png":::
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 3. Fill out the Networking form as follows:
* **Connectivity method** → Select **Public access**.
* **Allow public access from any Azure service** → Select the checkbox, that is, allow access.
* **Add current client IP address** → Select (add) if you plan on accessing the database from your local server.
For all other settings, leave the defaults. Select **Review + Create** to continue.
:::column-end:::
:::column:::
:::image type="content" source="media/tutorial-container-apps/azure-portal-create-postgres-server-04.png" alt-text="Screenshot showing how to specify networking settings of an Azure PostgreSQL Flexible Server instance in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-create-postgres-server-04.png":::
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 3. Review the information and when satisfied, select Create. :::column-end::: :::column::: :::image type="content" source="media/tutorial-container-apps/azure-portal-create-postgres-server-05.png" alt-text="Screenshot showing how to finish creation of an Azure PostgreSQL Flexible Server instance in Azure portal." lightbox="media/tutorial-container-apps/azure-portal-create-postgres-server-05.png"::: :::column-end::: :::row-end:::
To follow these steps, install the Azure Databases extension.
:::row::: :::column span="2"::: Step 1. Start the PostgreSQL create task.
* Select **F1** or **CTRL+SHIFT+P** to open the command palette.
* Type "Azure Databases".
* Select the task **Azure Databases: Create Server**.
Alternatively, select the **Azure** extension, **RESOURCES**, and expand your subscription. (Make sure you viewing resources by **Group by Resource Type**.). Then,
right-click **PostgreSQL servers** and select **Create server**. This UI action starts the same create server task.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 2. A series of prompts will guide you through the process of creating the database. Fill in the information as follows.
* Select **PostgreSQL Flexible Server**.
* Specify a **name** for the server.
Enter a name for the database server that's unique across all Azure (the database server's URL becomes `https://<server-name>.postgres.database.azure.com`). Allowed characters are `A`-`Z`, `0`-`9`, and `-`. For example: *postgres-db-\<unique-id>*.
* Select the **B1 Basic** SKU (1 vCore, 2 GiB Memory, 5-GB storage).
* Create an administrator user name.
This name for an administrator account on the database server. Record this name and password as you'll need them later in this tutorial.
* Create a password for the administrator and confirm it.
* Select a user group to put the database in.
Use the same resource group that you created the App Service in.
* Select a location for the database.
Select the same location as the resource group and App Service.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 3. Once the database is created, configure access from your local environment to the Azure Database for PostgreSQL server.
* Open the Command Palette (**F1** or **Ctrl** + **Shift** + **P**).
* Search for and select **PostgreSQL: Configure Firewall**. (Select a subscription if prompted.)
* Select the database you created above. If the database name doesn't appear in the list, it's likely it hasn't finished being created.
* Select **Yes** in the dialog box to add your IP address to the firewall rules of the PostgreSQL server.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end:::
:::row:::
:::column span="1":::
Step 4. Add a rule to allow your web app to access the PostgreSQL Flexible server.
You also need to configure the database server's firewall to accept connections from all Azure resources. To complete this step in VS Code, open an Azure Cloud Shell in VS Code, or go to Azure Cloud Shell and follow the Azure CLI instructions. Or, use the Azure portal instructions.
:::column-end:::
:::row-end:::
Run az login to sign in to and follow these steps to create your Azure Database for PostgreSQL resource.
Step 1. Use the az postgres flexible-server create command to create the PostgreSQL server and database in Azure using the values below. It isn't uncommon for this command to run for a few minutes to complete.
az postgres flexible-server create \
--resource-group pythoncontainer-rg \
--name <postgres-name> \
--location <location> \
--admin-user <admin-user-name> \
--admin-password <admin-password> \
--sku-name Standard_D2s_v3 \
--public-access 0.0.0.0 -
pythoncontainer-rg→ The resource group name used in this tutorial. If you used a different name, change this value. -
<postgres-name>→ The PostgreSQL database server name. This name must be unique across all Azure. The server endpoint is "https://<server-name>.postgres.database.azure.com"). Allowed characters are "A"-"Z", "0"-"9", and "-". -
<location>→ Use the same location used for the web app. Change the location in the command above for your deployment. -
<admin-user-name>→ Username for the administrator account. It can't be "azure_superuser", "admin", "administrator", "root", "guest", or "public". Use "demoadmin" for this tutorial. -
<admin-password>Password of the administrator user. It must contain 8 to 128 characters from three of the following categories: English uppercase letters, English lowercase letters, numbers, and non-alphanumeric characters.[!IMPORTANT] When creating usernames or passwords do not use the "$" character. Later you create environment variables with these values where the "$" character has special meaning within the Linux container used to run Python apps.
-
<sku-name>→ The name of the pricing tier and compute configuration, for example "Standard_D2s_v3". For more information, see Azure Database for PostgreSQL pricing. To list available SKUs, useaz postgres flexible-server list-skus --location <location>. -
<public-access>→ Use "0.0.0.0", which allows public access to the server from any Azure service, such as Container Apps.
The above commands is shown with the Bash shell. For other shell types, change the line continuation characters as appropriate. For example, for PowerShell, use back tick ("`").
Note
If you plan on working the PostgreSQL server from your local workstation with tools other than Azure CLI, you'll need to add a firewall rule with the az postgres flexible-server firewall-rule create command.
The sample code requires a PostgreSQL database to store data in. In the previous step, you created a PostgreSQL database server. Next, you'll connect to the PostgreSQL database server to create the restaurants_reviews database.
You can use the PostgreSQL interactive terminal psql in your local environment, or in the Azure Cloud Shell accessible in the Azure portal.
Step 1. Connect to the database with psql.
psql --host=<postgres-instance-name>.postgres.database.azure.com \
--port=5432 \
--username=demoadmin@<postgres-instance-name> \
--dbname=postgresThe command above will prompt you for the admin password. If you have trouble connecting, restart the database and try again. If you're connecting from your local environment, your IP address must be added to the firewall rule list for the database service.
Step 2. Create the database.
At the postgres=> prompt type:
CREATE DATABASE restaurants_reviews;The semicolon (";") at the end of the command is necessary. To verify that the restaurants_reviews database was successfully created, use the command \c restaurants_reviews to change the prompt from postgres=> (default) to the restaurants_reviews->. Type \? to show help or \q to quit.
To follow these steps, install the Azure Databases extension.
Step 1. In the Azure extension, find the PostgreSQL Server you created, right-click it, and select Create Database.
Step 2. At the prompt, enter restaurants_reviews as the Database Name.
If you have trouble creating the database, the server may still be processing the firewall rule from the previous step. Wait a moment and try again. If you are prompted to enter credentials to access the database, use the "demoadmin" and password you used to create the database.
You can use the Azure CLI anywhere it's installed, including the Azure Cloud Shell.
Step 1 Use the az postgres flexible-server db create command to create a "restaurants_reviews" database.
az postgres flexible-server db create \
--resource-group pythoncontainer-rg \
--server-name <postgres-instance-name> \
--database-name restaurants_reviewsWhere:
pythoncontainer-rg→ The resource group name used in this tutorial. If you used a different name, change this value.<postgres-instance-name>→ The name of the PostgreSQL server.
You could also use the az postgres flexible-server connect command to connect to the database and then work with psl commands. If you do this, we recommend using the Azure Cloud Shell because all the dependencies are included for you in the shell.
You can also connect to the PostgreSQL server and create a database using Azure Data Studio or any other IDE that supports PostgreSQL.
Container apps are deployed to Container Apps environments, which act as a secure boundary. These steps will create both the environment and the container inside the environment, and configure the environment so that the website is visible externally.
:::row::: :::column span="2"::: Step 1. In the portal search at the top of the screen, search for "container apps" and select the Container Apps service in the results. :::column-end::: :::column::: TBD :::column-end::: :::row-end::: :::row::: :::column span="2"::: Step 2. Select + Create to start the create process. :::column-end::: :::column::: TBD :::column-end::: :::row-end::: :::row::: :::column span="2"::: Step 3. Specify the Basics of the container app.
* **Resource group** → Use the group created earlier and contains the Azure Container Registry.
* **Container app name** → *python-container-app*.
* **Region** → Use the same region/location as the resource group.
* **Container Apps Environment** → Enter *python-container-env*.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 4. On the Basics page, select Next: App Settings to go to configure app settings.
On the **App settings** page:
* **Use quickstart image** → Unselect checkbox.
* **Name** → *python-container-app*.
* **Image Source** → Select *Azure Container Registry*.
* **Registry** → Select the name of registry you created earlier.
* **Image name** → Select *pythoncontainer* (the name of the image you built).
* **Image tag** → Select *latest*.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 5. Configure HTTP Ingress.
* **HTTP Ingress** → Select checkbox (enabled).
* **Ingress traffic** → Select **Accepting traffic from anywhere**.
* **Target port**→ Set to 8000 (Django) or 5000 (Flask).
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 6. Review and create.
* Select **Review and create** to go to review page.
* Select **Create** to create the container app.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 7. Create container environment variables.
* AZURE_POSTGRESQL_HOST=\<postgres-instance-name>.postgres.database.azure.com
* AZURE_POSTGRESQL_DATABASE=restaurants_reviews
* AZURE_POSTGRESQL_USERNAME=demoadmin
* AZURE_POSTGRESQL_PASSWORD=\<db-password>
* RUNNING_IN_PRODUCTION=1
> [!TIP]
> Instead of directly defining environment variables as shown above, you can use the [Service Connector][9]. Service Connector helps you connect to Azure compute services like Azure Container Apps, to other backing services by configuring connection information and generating and storing environment variables for you.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 8. Test the website.
* Go the newly created container app and select the **Overview** resource.
* Under **Essentials**, select **Application Url** to open the website in a browser.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end:::
These steps require the Azure Container Apps extension for VS Code.
:::row::: :::column span="1"::: Step 1. Create an .env file that you'll reference during the creation of the container app.
In the sample repo there is an *.env.example* file you can start from. Create an *.env* file with the following values:
```
AZURE_POSTGRESQL_HOST=<postgres-instance-name>.postgres.database.azure.com
AZURE_POSTGRESQL_DATABASE=restaurants_reviews
AZURE_POSTGRESQL_USERNAME=demoadmin
AZURE_POSTGRESQL_PASSWORD=<db-password>
RUNNING_IN_PRODUCTION=1
```
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 2. Start the container apps create task.
* Select **F1** or **CTRL+SHIFT+P** to open the command palette.
* Type "containers apps".
* Select the task **Azure Container Apps: Create Container App**
Alternatively, you can open the Azure extension, find the **Container Apps** section and select **+** icon to start.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 3. Follow the steps to create the container environment.
* **Select Container Apps environment** → Select **Create new Container Apps environment**.
* **Select a location for new resources** → Choose the same location that resource group you created previously.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 4. After creating the environment, you should be prompted to create a container app.
* **Enter a new from the new container app** → Enter *python-container-app*.
* **Select a container registry** → Select **Azure Container Registries**.
* **Select an Azure Container Registry** → Select the name of the registry you create previously.
* **Select a repository** → Select **pythoncontainer**.
* **Select a tag** → Select **latest**.
* **Set with environment variables file** → Select the *.env* file you created above.
* **Enable ingress for applications** → Select **Enable**.
* **Select the HTTP traffic that the endpoint will accept** → Select **External**.
* **Port the container is listening on** → Set to 8000 (Django) or 5000 (Flask).
If you missed the prompt to create the container app, go to the Azure extension, Container Apps section, select the environment, right-click and select **Create Container App**.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end::: :::row::: :::column span="2"::: Step 5. Test the website.
* Select **F1** or **CTRL+SHIFT+P** to open the command palette.
* Find and start the task **Azure Container Apps: Browse**.
* Select the container environment and container app you just created.
Alternatively, go to the Azure extension, Container Apps section, container environment and right-click the container app and select **Browse**.
:::column-end:::
:::column:::
TBD
:::column-end:::
:::row-end:::
:::row::: :::column::: Step 1. Sign in to Azure and authenticate, if needed.
```
az login
```
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 2. Install or upgrade the extension for Azure Container Apps withe az extension add command.
```
az extension add --name containerapp --upgrade
```
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 3. Create a Container Apps environment with the az containerapp env create command.
```bash
az containerapp env create \
--name python-container-env \
--resource-group pythoncontainer-rg \
--location <location>
```
*\<location>* is one of the Azure location *Name* values from the output of the command `az account list-locations -o table`.
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 4. Get the login credentials for the Azure Container Registry.
```
az acr credentials show -n <registry-name>
```
Use the username and one of the passwords returned from the output of the above command.
:::column-end:::
:::row-end:::
:::row::: :::column span="1"::: Step 5. Create a container app in the environment with the az containerapp create command.
```bash
az containerapp create \
--name python-container-app \
--resource-group pythoncontainer-rg \
--image <registry-name>.azurecr.io/pythoncontainer:latest \
--environment python-container-env \
--ingress external \
--target-port 8000 \
--registry-server <registry-name>.azurecr.io \
--registry-username <registry-username> \
--registry-password <registry-password> \
--env-vars <env-variable-string>
--query properties.configuration.ingress.fqdn
```
`<env-variable-string>` is a string composed of space-separated values in the key="value" format with the following values.
* AZURE_POSTGRESQL_HOST=\<postgres-instance-name>.postgres.database.azure.com
* AZURE_POSTGRESQL_DATABASE=restaurants_reviews
* AZURE_POSTGRESQL_USERNAME=demoadmin
* AZURE_POSTGRESQL_PASSWORD=\<db-password>
* RUNNING_IN_PRODUCTION=1
Here's an example: `--env-vars AZURE_POSTGRESQL_HOST="my-postgres-instance.postgres.database.azure.com" AZURE_POSTGRESQL_DATABASE="restaurants_reviews" AZURE_POSTGRESQL_USERNAME="demoadmin" AZURE_POSTGRESQL_PASSWORD="somepassword" RUNNING_IN_PRODUCTION="1"`.
:::column-end:::
:::row-end::: :::row::: :::column span="1"::: Step 7. Test the website.
The create command above outputs an application Url you can use to browse to. The Url ends in "azurecontainerapps.io".
:::column-end:::
:::row-end:::
-
You forgot the Application Url to access the website.
- In the Azure portal, go to the Overview page of the Container App and look for the Application Url.
- In VS Code, go to the Azure extension and select the Container Apps section. Expand the subscription, expand the container environment, and when you find the container app, right-click python-container-app and select Browse.
- With Azure CLI, use the command
az containerapp show -g pythoncontainer-rg -n python-container-app --query properties.configuration.ingress.fqdn.
-
In VS Code, the Build Image in Azure task returns an error.
- This can happen when you select an existing registry to use.
- If you see the message "Error: failed to download context. Please check if the URL is incorrect." in the Output window, then refresh the registry in the Docker extension. To refresh, select the Docker extension, go to the Registries section, find the registry and select it.
-
Container image doesn't appear in the Azure Container Registry.
- Check the output of the Azure CLI command or VS Code Output and look for messages to confirm success.
- Check that the name of the registry was specified correctly in your build command with the Azure CLI or in the VS Code task prompts.
- Make sure your credentials haven't expired. For example, in VS Code, find the target registry in the Docker extension and refresh. In Azure CLI, run
az login.
-
Website returns "Bad Request (400)".
- Check the PostgreSQL environment variables passed in to the container. This error often indicates that the Python code can't connect to the PostgreSQL instance.
- Check that there's a container environment variable
RUNNING_IN_PRODUCTIONand it's set to 1.
-
Website returns "Not Found (404)".
- Check the Application Url on the Overview page for the container. If the Application Url contains the word "internal", then ingress isn't set correctly.
- Check the ingress of the container. For example, in Azure portal, go to the Ingress resource of the container and make sure HTTP Ingress is enabled and Accepting traffic from anywhere is selected.
-
Website doesn't start or you see "stream timeout" or nothing is returned.
- In the Azure portal, go to the Container App's Revision management resource and check the Provision Status of the container.
- If "Provisioning", then wait until it has completed.
- If "Failed", then select the revision and view the console logs. Choose the order of the columns to show "Time Generated", "Stream_s", and "Log_s". Sort the logs by most-recent first and look for Python stderr and stdout messages in the "Stream_s" column. Python 'print' output will be stdout messages.
- In the Azure portal, go to the Container App's Revision management resource and check the Provision Status of the container.