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@fnproject/fdk
Advanced tools
This Function Developer Kit makes it easy to deploy Node.js functions to Fn. It currently supports default (cold) and hot functions using the JSON format.
Writing a Node.js function is simply a matter of writing a handler function that you pass to the FDK to invoke each time your function is called.
Start by creating a node function with fn init
and installing the FDK:
fn init --runtime node nodefunc
cd nodefunc
This creates a simple hello world function in func.js
:
const fdk=require('@fnproject/fdk');
fdk.handle(function(input){
let name = 'World';
if (input.name) {
name = input.name;
}
return {'message': 'Hello ' + name}
})
The handler function takes the string input that is sent to the function and returns a response string. Using the FDK you don't have to worry about reading input from standard input and writing to standard output to return your response. The FDK let's you focus on your function logic and not the mechanics.
Now run it!
fn deploy --local --app fdkdemo
fn invoke fdkdemo nodefunc
Now you have a basic running Node function that you can modify and add what you want.
echo -n '{"name": "Tom"}' | fn invoke fdkdemo nodefunc
You should see the result
{"message": "Hello Tom"}
Function invocation context details are available through an optional function argument.
To receive a context object, simply add a second argument to your handler function.
in the following example the callID
is obtained from the context and included in
the response message:
const fdk=require('@fnproject/fdk');
fdk.handle(function(input, ctx){
let name = 'World';
if (input) {
name = input;
}
return 'Hello ' + name + ' from Node call ' + ctx.callID + '!';
})
The context contains other context information about the request such as:
ctx.config
: An Object containing function config variables (from the environment ) (read only)
ctx.headers
: an object containing input headers for the event as lists of strings (read only)
ctx.deadline
: a Date
object indicating when the function call must be processed by
ctx.callID
: The call ID of the current call
ctx.fnID
: The Function ID of the current function
ctx.memory
: Amount of ram in MB allocated to this function
ctx.contentType
: The incoming request content type (if set, otherwise null)
ctx.setResponseHeader(key,values...)
: Sets a response header to one or more values
ctx.addResponseHeader(key,values...)
: Appends values to an existing response header
ctx.responseContentType
set/read the response content type of the function (read/write)
ctx.httpGateway
The HTTP Gateway context for this function (if set) see HTTPGatewayContext
below
You return an asynchronous response from a function by returning a Javascript Promise
from the function body:
const fdk=require('@fnproject/fdk');
fdk.handle(function(input, ctx){
return new Promise((resolve,reject)=>{
setTimeout(()=>resolve("Hello"),1000);
});
})
You can also use async
/await
calling conventions in functions.
By default the FDK will try and convert input into a JSON object, or fall back to its string format otherwise.
Likewise by default the output of a function will be treated as a JSON object and converted using JSON.stringify.
To change the handling of the input you can add an additional options
parameter to fdk.handle
that specifies the input handling strategy:
function myfunction(input,ctx){}
fdk.handle(myfunction, {inputMode: 'string'})
valid input modes are:
json
(the default) attempts to parse the input as json or falls back to raw (possibly binary) string value otherwisestring
always treats input as a stringbuffer
reads input into a Buffer
object and passes this to your functionTo change the output handling of your function from the default you should wrap the result value using a response decorator:
function myfunction(input,ctx){
return fdk.rawResult("Some string")
}
fdk.handle(myfunction)
the available decorators are:
rawResult({string|Buffer})
passes the result directly to the response - the value can be a string or a buffer - this will not encode quotes on string objectsstreamResult({ReadableStream})
pipes the contents of a ReadableStream
into the output - this allows processing of data from files or HTTP responsesYou can read http headers passed into a function invocation using ctx.protocol.header(key)
, this returns the first header value of the header matching key
(after canonicalization) and ctx.protocol.headers
which returns an object containing all headers.
const fdk=require('@fnproject/fdk');
fdk.handle(function(input, ctx){
let hctx = ctx.httpGateway
console.log("Request URL" , hctx.requestURL)
console.log("Authorization header:" , hctx.getHeader("Authorization"))
console.log( hctx.headers) // prints e.g. { "Content-Type": ["application/json"],"Accept":["application/json","text/plain"] }
})
Outbound headers and the HTTP status code can be modified in a similar way:
const fdk=require('@fnproject/fdk');
fdk.handle(function(input, ctx){
let hctx = ctx.httpGateway
hctx.setResponseHeader("Location","http://example.com")
hctx.statusCode = 302
})
The HTTPGatewayContext
object has a similar interface to Context
but accesses only the HTTP headers of the function:
hctx.requestURL
: Get the http request URL of the function as received by the gateway (null if not set)hctx.method
: Get the HTTP request method used to invoke the gatewayhctx.headers
: Get the HTTP headers of the incoming request (read-only)hctx.statusCode
: Set the the HTTP status code of the HTTP resposne
& hctx.setResponseHeader(key,values..)
, hctx.addResponseHeader(key,values)
Set/add response headersFn handles Node.js dependencies in the following way:
package.json
is present without a node_modules
directory, an Fn build runs an npm install
within the build process and installs your dependencies.node_modules
is present, Fn assumes you have provided the dependencies yourself and no installation is performed.FAQs
Function Developer Kit for Fn
The npm package @fnproject/fdk receives a total of 0 weekly downloads. As such, @fnproject/fdk popularity was classified as not popular.
We found that @fnproject/fdk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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