Scale Up Azure Functions in F# Using Suave
Recently Microsoft Azure has made F# as a first-class citizen to write Azure Functions. As F# is a functional-first programming language, I feel Azure Functions and F# would be a match made in heaven.
In this blog post, you are going to experience a scaled up version of Azure Functions in F# using Suave
What’s in the Function Signatures?
In a functional programming language, we define small functions that do one thing well and then we compose them together to represent the solution. To compose functions, we need to be thoughtful while designing the signature of a function.
Let’s see the signature of an Azure Function in F#
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The Run
function takes a HttpRequestMessage
and returns the HttpResponseMessage
. This signature is simple, but it has a limitation. The limitation has been showcased in the templates directory of Azure Webjobs SDK
My each C
, R
, U
, D
are in different functions. Well, there is nothing wrong here. These templates are suitable for getting started in Azure Functions. But what will you do if you have a requirement to expose CRUD
of a resource as an Azure Functions?
One option is to define each part of the CRUD
as separate Azure Functions (as defined by the templates). If you choose to go by this, you will have four different endpoints and I am sure your client code will have a hard time to consume these endpoints. In addition to this, you will also need to manage four things to satisfy your one requirement.
The other option is putting the CRUD
inside a single function.
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Though this approach solves the problem, it comes with another set of challenges. In Object Oriented Programming, we typically use Polymorphism to replace the conditional logic.
Revisiting Function Signature
A request handler
looks for some condition to be meet in the incoming HTTP request, and if the predicate succeeds, it modifies the HTTP response.
The signature of the Run
function, HttpRequestMessage -> HttpResponseMessage
is not completely reflecting the above specification.
Let’s have a look at the limitations of this signature
-
The
Run
function doesn’t return theHttpRequestMessage
. So if we have multiplehandler
s we are constrained to use eitherif else if
or Polymorphism. -
It doesn’t represent a handler that doesn’t handle the HTTP request. If the HTTP request is
GET
, thehandler
for HTTPPOST
will not modify theHttpResponseMessage
The better signature would have the following to describe a handler in a better way
-
The handler has to be pure function that takes both
Request
andResponse
as it’s parameters -
If the handler is not handling the HTTP request, it has to return the unmodified
Request
andResponse
along with an indicator saying that it didn’t handle the request.
It’s where the Suave library shines. Suave defines a type called WebPart
with the signature to model the handler
with the above-said expectations.
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The
Async
represents that theWebPart
function is a non-blocking asynchronous function andoption
type models theWebPart
which doesn’t handle the HTTP request
The real power of Suave is its set of combinators to manipulate route flow and task composition. You can define an API in Suave that only handles HTTP POST
requests and returns Hello
as text without typing too much.
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To learn more about the Suave combinators refer my blog post on Building REST API in suave
If you notice the binding app
itself is a WebPart
(which in turn a function) with the signature HttpContext -> Async<HttpContext option>
. So, you can call this function in your application code and project the output of the function to any output medium that you wish.
The Difference
The Azure Functions do an incredible job in helping you to define a part of your system as a function. Suave takes it to the next level by helping you to define your system as function.
In nutshell, Suave complements Azure Functions and helps you to define your system as a Serverless Function
Creating a Suave Adapter
So, to scale up Azure Functions using Suave, all we need is an adapter.
The adapter does the following
-
Transforms
HttpRequestMessage
fromSystem.Net.Http
toHttpRequest
ofSuave.Http
-
Then create an empty Suave’s
HttpContext
with the aboveHttpRequest
and call theWebPart
(that represents your system). -
The final step is converting the
HttpResult
ofSuave.Http
toHttpResponseMessage
ofSystem.Net.Http
.
Let’s start from HttpRequestMessage
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As a convention, I’ve used
Net
andSuave
prefixes in the function name to represent the returning type ofSystem.Net.Http
andSuave.Http
respectively.
I hope that these functions are self-explanatory, so let’s move on the next step.
To keep it simple, I’ve ignored other HTTP Methods like PATCH, HEAD, etc.
The next step is creating Suave HttpContext
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Then we need to convert HttpResult
to HttpResponseMessage
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To keep it simple, I’ve ignored other HTTP StatusCodes
The final step is putting these functions together and run the WebPart
function with the translated HttpContext
.
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Suave Adapter In Action
Let’s see the Suave Adapter that we created in action.
As already there are two great blog posts by Greg Shackles and Michał Niegrzybowski, I am diving directly into Azure functions in F#.
Let me create a new Azure Function application in Azure with the name “TamAzureFun” and then define the first function HelloSuave
.
The function.json
of HelloSuave
has to be updated with the methods
property to support different HTTP request methods.
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Then add the Suave
dependency in project.json
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Let’s start simply by defining small API (system) that handles different types of HTTP methods.
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The final step is referring the SuaveAdapter.fsx
& app.fsx
files in the run.fsx
and have fun!
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Let’s make some HTTP requests to test our implementation.
Suave is rocking!
Creating a REST API in Azure Functions
We can extend the above example to expose a REST end point!
In Suave a REST API is a function.
Create a new Azure Function HelloREST
and add NewtonSoft.Json
& Suave
dependencies in project.json
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To handle JSON requests and responses, let’s add some combinators
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Then define the REST api in app.fsx
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To keep things simple, I am hard coding the values here. It can easily be extended to talk to any data source
Our SuaveAdapter
has capable of handling different HTTP methods and but it hasn’t been programmed to deal with different paths.
Here in this example we need to support two separate paths
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The HTTP endpoint to call an Azure function has the format
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At this point of writing it doesn’t support multiple paths. So, we need to find a workaround to do it.
One way achieving this is to pass the paths as a Header. Let’s name the Header key as X-Suave-URL
. Upon receiving the request we can rewrite the URL as
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Let’s update SuaveAdapter.fsx
to do this
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The final step is updating the run.fsx
file to use this new function
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Serverless REST API in Action
This blog post is a proof of concept to use Suave in Azure Functions. There are a lot of improvements to be made to make it production ready. I am planning to publish this as a NuGet package based on the feedback from the community.
Update : Suave.Azure.Functions is available now as a Nuget Package
Summary
"F# is a general purpose language, not just a science, or data science language." @tomaspetricek #ndcoslo #fsharp
— Bryan Hunter (@bryan_hunter) June 10, 2016
*PLEASE* Microsoft, stop saying #fsharp is great for "financial applications and stuff like that". It's a bloody general purpose language.
— Isaac Abraham (@isaac_abraham) June 7, 2016
The complete source code is available in my GitHub repository.
Are you interested in learning more about F#?
I’m delighted to share that I’m running a tutorial at Progressive F# Tutorials 2016, London on Dec 5, 2016. I’m excited to share my experiences with Suave and help developers to understand this wonderful F# library.
The Progressive F# Tutorials offer hands-on learning for every skill set and is led by some of the best experts in F# and functional programming