Dapr Binding output binding for Azure Functions
The Dapr output binding allows you to send a value to a Dapr output binding during a function execution.
For information on setup and configuration details of the Dapr extension, see the Dapr extension overview.
Example
A C# function can be created using one of the following C# modes:
Execution model | Description |
---|---|
Isolated worker model | Your function code runs in a separate .NET worker process. Use with supported versions of .NET and .NET Framework. To learn more, see Develop .NET isolated worker process functions. |
In-process model | Your function code runs in the same process as the Functions host process. Supports only Long Term Support (LTS) versions of .NET. To learn more, see Develop .NET class library functions. |
The following example demonstrates using a Dapr service invocation trigger and a Dapr output binding to read and process a binding request.
[FunctionName("SendMessageToKafka")]
public static async Task Run(
[DaprServiceInvocationTrigger] JObject payload,
[DaprBinding(BindingName = "%KafkaBindingName%", Operation = "create")] IAsyncCollector<object> messages,
ILogger log)
{
log.LogInformation("C# function processed a SendMessageToKafka request.");
await messages.AddAsync(payload);
}
The following example creates a "SendMessagetoKafka"
function using the DaprBindingOutput
binding with the DaprServiceInvocationTrigger
:
@FunctionName("SendMessageToKafka")
public String run(
@DaprServiceInvocationTrigger(
methodName = "SendMessageToKafka")
String payload,
@DaprBindingOutput(
bindingName = "%KafkaBindingName%",
operation = "create")
OutputBinding<String> product,
final ExecutionContext context) {
context.getLogger().info("Java function processed a SendMessageToKafka request.");
product.setValue(payload);
return payload;
}
In the following example, the Dapr output binding is paired with the Dapr invoke output trigger, which is registered by the app
object:
const { app, trigger } = require('@azure/functions');
app.generic('SendMessageToKafka', {
trigger: trigger.generic({
type: 'daprServiceInvocationTrigger',
name: "payload"
}),
return: daprBindingOuput,
handler: async (request, context) => {
context.log("Node function processed a SendMessageToKafka request from the Dapr Runtime.");
context.log(context.triggerMetadata.payload)
return { "data": context.triggerMetadata.payload };
}
});
The following examples show Dapr triggers in a function.json file and PowerShell code that uses those bindings.
Here's the function.json file for daprBinding
:
{
"bindings":
{
"type": "daprBinding",
"direction": "out",
"bindingName": "%KafkaBindingName%",
"operation": "create",
"name": "messages"
}
}
For more information about function.json file properties, see the Configuration section.
In code:
using namespace System.Net
# Input bindings are passed in via param block.
param($req, $TriggerMetadata)
Write-Host "Powershell SendMessageToKafka processed a request."
$invoke_output_binding_req_body = @{
"data" = $req
}
# Associate values to output bindings by calling 'Push-OutputBinding'.
Push-OutputBinding -Name messages -Value $invoke_output_binding_req_body
The following example shows a Dapr Binding output binding, which uses the v2 Python programming model. To use @dapp.dapr_binding_output
in your Python function app code:
import logging
import json
import azure.functions as func
app = func.FunctionApp()
@app.function_name(name="SendMessageToKafka")
@app.dapr_service_invocation_trigger(arg_name="payload", method_name="SendMessageToKafka")
@app.dapr_binding_output(arg_name="messages", binding_name="%KafkaBindingName%", operation="create")
def main(payload: str, messages: func.Out[bytes]) -> None:
logging.info('Python processed a SendMessageToKafka request from the Dapr Runtime.')
messages.set(json.dumps({"data": payload}).encode('utf-8'))
Attributes
In the in-process model, use the DaprBinding
to define a Dapr binding output binding, which supports these parameters:
Parameter | Description | Can be sent via Attribute | Can be sent via RequestBody |
---|---|---|---|
BindingName | The name of the Dapr binding. | ✔️ | ✔️ |
Operation | The configured binding operation. | ✔️ | ✔️ |
Metadata | The metadata namespace. | ❌ | ✔️ |
Data | Required. The data for the binding operation. | ❌ | ✔️ |
Annotations
The DaprBindingOutput
annotation allows you to create a function that sends an output binding.
Element | Description | Can be sent via Attribute | Can be sent via RequestBody |
---|---|---|---|
bindingName | The name of the Dapr binding. | ✔️ | ✔️ |
output | The configured binding operation. | ✔️ | ✔️ |
metadata | The metadata namespace. | ❌ | ✔️ |
data | Required. The data for the binding operation. | ❌ | ✔️ |
Configuration
The following table explains the binding configuration properties that you set in the code.
Property | Description | Can be sent via Attribute | Can be sent via RequestBody |
---|---|---|---|
bindingName | The name of the binding. | ✔️ | ✔️ |
operation | The binding operation. | ✔️ | ✔️ |
metadata | The metadata namespace. | ❌ | ✔️ |
data | Required. The data for the binding operation. | ❌ | ✔️ |
The following table explains the binding configuration properties that you set in the function.json file.
function.json property | Description | Can be sent via Attribute | Can be sent via RequestBody |
---|---|---|---|
bindingName | The name of the binding. | ✔️ | ✔️ |
operation | The binding operation. | ✔️ | ✔️ |
metadata | The metadata namespace. | ❌ | ✔️ |
data | Required. The data for the binding operation. | ❌ | ✔️ |
The following table explains the binding configuration properties for @dapp.dapr_binding_output
that you set in your Python code.
Property | Description | Can be sent via Attribute | Can be sent via RequestBody |
---|---|---|---|
binding_name | The name of the binding event. | ✔️ | ✔️ |
operation | The binding operation name/identifier. | ✔️ | ✔️ |
metadata | The metadata namespace. | ❌ | ✔️ |
data | Required. The data for the binding operation. | ❌ | ✔️ |
If properties are defined in both Attributes and RequestBody
, priority is given to data provided in RequestBody
.
See the Example section for complete examples.
Usage
To use the Dapr output binding, start by setting up a Dapr output binding component. You can learn more about which component to use and how to set it up in the official Dapr documentation.
- Dapr output binding component specs
- How to: Use output bindings to interface with external resources
To use the daprBinding
in Python v2, set up your project with the correct dependencies.
In your
requirements.text
file, add the following line:azure-functions==1.18.0b3
In the terminal, install the Python library.
pip install -r .\requirements.txt
Modify your
local.setting.json
file with the following configuration:"PYTHON_ISOLATE_WORKER_DEPENDENCIES":1