Getting Started

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We’re going to start with an empty folder. This will be the root folder of our services. You can name it something clever but for the course of this guide we’ll assume it’s called the name of your service: .

First we need to create a manifest. Create a new file called manifest.json and add the following content:

This just tells ArangoDB the service is compatible with versions 3.0.0 and later (all the way up to but not including 4.0.0), allowing older versions of ArangoDB to understand that this service likely won’t work for them and newer versions what behavior to emulate should they still support it.

The little hat to the left of the version number is not a typo, it’s called a “caret” and indicates the version range. Foxx uses semantic versioning (also called “semver”) for most of its version handling. You can find out more about how semver works at the official semver website.

Next we’ll need to specify an entry point to our service. This is the JavaScript file that will be executed to define our service’s HTTP endpoints. We can do this by adding a “main” field to our manifest:

{
  "engines": {
    "arangodb": "^3.0.0"
  },
  "main": "index.js"
}

That’s all we need in our manifest for now.

Router

Let’s next create the index.js file:

'use strict';
const createRouter = require('@arangodb/foxx/router');
const router = createRouter();
module.context.use(router);

The first line causes our file to be interpreted using strict mode. All examples in the ArangoDB documentation assume strict mode, so you might want to familiarize yourself with it if you haven’t encountered it before.

The second line imports the @arangodb/foxx/router module which provides a function for creating new Foxx routers. We’re using this function to create a new router object which we’ll be using for our service.

The module.context is the so-called Foxx context or service context. This variable is available in all files that are part of your Foxx service and provides access to Foxx APIs specific to the current service, like the use method, which tells Foxx to mount the router in this service (and to expose its routes to HTTP).

Next let’s define a route that prints a generic greeting:

// continued
router.get('/hello-world', function (req, res) {
  res.send('Hello World!');
})
.response(['text/plain'], 'A generic greeting.')
.summary('Generic greeting')
.description('Prints a generic greeting.');

The router provides the methods get, post, etc corresponding to each HTTP verb as well as the catch-all all. These methods indicate that the given route should be used to handle incoming requests with the given HTTP verb (or any method when using all).

These methods take an optional path (if omitted, it defaults to "/") as well as a request handler, which is a function taking the req () and res (response) objects to handle the incoming request and generate the outgoing response. If you have used the express framework in Node.js, you may already be familiar with how this works, otherwise check out the chapter on .

The object returned by the router’s methods provides additional methods to attach metadata and validation to the route. We’re using summary and description to document what the route does — these aren’t strictly necessary but give us some nice auto-generated documentation. The response method lets us additionally document the response content type and what the response body will represent.

At this point you can upload the service folder as a zip archive from the web interface using the Services tab.

Click Add Service then pick the Zip option in the dialog. You will need to provide a mount path, which is the URL prefix at which the service will be mounted (e.g. /getting-started).

Once you have picked the zip archive using the file picker, the upload should begin immediately and your service should be installed. Otherwise press the Install button and wait for the dialog to disappear and the service to show up in the service list.

In the API documentation you should see the route we defined earlier (/hello-world) with the word GET next to it indicating the HTTP method it supports and the summary we provided on the right. By clicking on the route’s path you can open the documentation for the route.

Note that the description we provided appears in the generated documentation as well as the description we added to the response (which should correctly indicate the content type text/plain, i.e. plain text).

Click the Try it out! button to send a request to the route and you should see an example request with the service’s response: “Hello World!”.

Congratulations! You have just created, installed and used your first Foxx service.

Parameter validation

Let’s add another route that provides a more personalized greeting:

The first line imports the which comes bundled with ArangoDB. Joi is a validation library that is used throughout Foxx to define schemas and parameter types.

Note: You can bundle your own modules from npm by installing them in your service folder and making sure the node_modules folder is included in your zip archive. For more information see the chapter on bundling node modules.

The pathParam method allows us to specify parameters we are expecting in the path. The first argument corresponds to the parameter name in the path, the second argument is a joi schema the parameter is expected to match and the final argument serves to describe the parameter in the API documentation.

The path parameters are accessible from the pathParams property of the request object. We’re using a template string to generate the server’s response containing the parameter’s value.

Note that routes with path parameters that fail to validate for the request URL will be skipped as if they wouldn’t exist. This allows you to define multiple routes that are only distinguished by the schemas of their path parameters (e.g. a route taking only numeric parameters and one taking any string as a fallback).

Let’s take this further and create a route that takes a JSON request body:

// continued
router.post('/sum', function (req, res) {
  const values = req.body.values;
  res.send({
    result: values.reduce(function (a, b) {
      return a + b;
    }, 0)
  });
  values: joi.array().items(joi.number().required()).required()
}).required(), 'Values to add together.')
.response(joi.object({
  result: joi.number().required()
}).required(), 'Sum of the input values.')
.summary('Add up numbers')
.description('Calculates the sum of an array of number values.');

Note that we used post to define this route instead of get (which does not support request bodies). Trying to send a GET request to this route’s URL (in the absence of a get route for the same path) will result in Foxx responding with an appropriate error response, indicating the supported HTTP methods.

As this route not only expects a JSON object as input but also responds with a JSON object as output we need to define two schemas. We don’t strictly need a response schema but it helps documenting what the route should be expected to respond with and will show up in the API documentation.

Because we’re passing a schema to the response method we don’t need to explicitly tell Foxx we are sending a JSON response. The presence of a schema in the absence of a content type always implies we want JSON. Though we could just add ["application/json"] as an additional argument after the schema if we wanted to make this more explicit.

The body method works the same way as the response method except the schema will be used to validate the request body. If the request body can’t be parsed as JSON or doesn’t match the schema, Foxx will reject the request with an appropriate error response.

The real power of Foxx comes from interacting with the database itself. In order to be able to use a collection from within our service, we should first make sure that the collection actually exists. The right place to create collections your service is going to use is in , which Foxx will execute for you when installing or updating the service.

First create a new folder called “scripts” in the service folder, which will be where our scripts are going to live. For simplicity’s sake, our setup script will live in a file called setup.js inside that folder:

// continued
'use strict';
const db = require('@arangodb').db;
const collectionName = 'myFoxxCollection';
if (!db._collection(collectionName)) {
  db._createDocumentCollection(collectionName);
}

The script uses the db object from the @arangodb module, which lets us interact with the database the Foxx service was installed in and the collections inside that database. Because the script may be executed multiple times (i.e. whenever we update the service or when the server is restarted) we need to make sure we don’t accidentally try to create the same collection twice (which would result in an exception); we do that by first checking whether it already exists before creating it.

Note: Because we have hardcoded the collection name, multiple copies of the service installed alongside each other in the same database will share the same collection. Because this may not always be what you want, the also provides the collectionName method which applies a mount point specific prefix to any given collection name to make it unique to the service. It also provides the collection method, which behaves almost exactly like db._collection except it also applies the prefix before looking the collection up.

Next we need to tell our service about the script by adding it to the manifest file:

{
  "engines": {
    "arangodb": "^3.0.0"
  },
  "main": "index.js",
  "scripts": {
    "setup": "scripts/setup.js"
  }
}

The only thing that has changed is that we added a “scripts” field specifying the path of the setup script we just wrote.

Go back to the web interface and update the service with our new code, then check the Collections tab. If everything worked right, you should see a new collection called “myFoxxCollection”.

Accessing collections

Let’s expand our service by adding a few more routes to our index.js:

We’re using the save and document methods of the collection object to store and retrieve documents in the collection we created in our setup script. Because we don’t care what the documents look like we allow any attributes on the request body and just accept an object.

Because the key will be automatically generated by ArangoDB when one wasn’t specified in the request body, we’re using Object.assign to apply the attributes of the metadata object returned by the save method to the document before returning it from our first route.

The document method returns a document in a collection by its _key or _id. However when no matching document exists it throws an ArangoError exception. Because we want to provide a more descriptive error message than ArangoDB does out of the box, we need to handle that error explicitly.

All ArangoError exceptions have a truthy attribute isArangoError that helps you recognizing these errors without having to worry about instanceof checks. They also provide an errorNum and an . If you want to check for specific errors you can just import the errors object from the @arangodb module instead of having to memorize numeric error codes.

Instead of defining our own response logic for the error case we just use res.throw, which makes the response object throw an exception Foxx can recognize and convert to the appropriate server response. We also pass along the exception itself so Foxx can provide more diagnostic information when we want it to.

We could extend the post route to support arrays of objects as well, each object following a certain schema:

// store schema in variable to make it re-usable, see .body()
const docSchema = joi.object().required().keys({
  name: joi.string().required(),
  age: joi.number().required()
}).unknown(); // allow additional attributes
router.post('/entries', function (req, res) {
  const multiple = Array.isArray(req.body);
  const body = multiple ? req.body : [req.body];
  let data = [];
    const meta = foxxColl.save(doc);
    data.push(Object.assign(doc, meta));
  }
  res.send(multiple ? data : data[0]);
})
.body(joi.alternatives().try(
  docSchema,
  joi.array().items(docSchema)
), 'Entry or entries to store in the collection.')
.response(joi.alternatives().try(
  joi.object().required(),
  joi.array().items(joi.object().required())
), 'Entry or entries stored in the collection.')
.summary('Store entry or entries')
.description('Store a single entry or multiple entries in the "myFoxxCollection" collection.');

Storing and retrieving entries is fine, but right now we have to memorize each key when we create an entry. Let’s add a route that gives us a list of the keys of all entries so we can use those to look an entry up in detail.

The naïve approach would be to use the toArray() method to convert the entire collection to an array and just return that. But we’re only interested in the keys and there might potentially be so many entries that first retrieving every single document might get unwieldy. Let’s write a short AQL query to do this instead:

// continued
const aql = require('@arangodb').aql;
router.get('/entries', function (req, res) {
  const keys = db._query(aql`
    FOR entry IN ${foxxColl}
    RETURN entry._key
  `);
  res.send(keys);
})
.response(joi.array().items(
  joi.string().required()
).required(), 'List of entry keys.')
.summary('List entry keys')
.description('Assembles a list of keys of entries in the collection.');

Here we’re using two new things:

The _query method executes an AQL query in the active database.

The aql template string handler allows us to write multi-line AQL queries and also handles query parameters and collection names. Instead of hardcoding the name of the collection we want to use in the query we can simply reference the foxxColl variable we defined earlier – it recognizes the value as an ArangoDB collection object and knows we are specifying a collection rather than a regular value even though AQL distinguishes between the two.

Note: If you aren’t used to JavaScript template strings and template string handlers just think of aql as a function that receives the multiline string split at every ${} expression as well as an array of the values of those expressions – that’s actually all there is to it.

Alternatively, here’s a version without template strings (notice how much cleaner the aql version will be in comparison when you have multiple variables):

const keys = db._query(
  'FOR entry IN @@coll RETURN entry._key',
);

Next steps