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algorithmia

0.3.10 • Public • Published

algorithmia.js

A nodejs library for calling algorithms on Algorithmia.com with partial support for the DataAPI

npm

Getting started

The official Algorithmia nodejs client is available on NPM. Install it for your project by adding algorithmia to your package.json:

npm install --save algorithmia

Then instantiate an Algorithmia client using your API key:

var algorithmia = require("algorithmia");
 
var client = algorithmia(process.env.ALGORITHMIA_API_KEY);

Now you are ready to call algorithms.

Calling algorithms

The following examples of calling algorithms are organized by type of input/output which vary between algorithms.

Note: a single algorithm may have different input and output types, or accept multiple types of input, so consult the algorithm's description for usage examples specific to that algorithm.

Text input/output

Call an algorithm with text input by passing a string into the pipe method. The returned promise will be called with the response with the Algorithm completes (or when an error occurs). If the algorithm output is text, then the get() method on the response will return a string.

client.algo("algo://demo/Hello/0.1.1")
      .pipe("HAL 9000")
      .then(function(response) {
        console.log(response.get());
      });
// -> Hello HAL 9000

JSON input/output

Call an algorithm with JSON input by passing in a native JavaScript type; most of the time this will be an Object or an Array (though Boolean, Number, and Null are possible). Similarly, if the algorithm response is JSON, the get() method will return the appropriate native JavaScript type.

client.algo("algo://WebPredict/ListAnagrams/0.1.0")
      .pipe(["transformer", "terraforms", "retransform"])
      .then(function(response) {
        console.log(response.get());
        // -> ["transformer","retransform"]
      });

Alternatively, if you already have serialized JSON, you can call pipeJson with the raw JSON string. The following example makes the same API call as the previous example:

client.algo("algo://WebPredict/ListAnagrams/0.1.0")
      .pipeJson('["transformer", "terraforms", "retransform"]')

Binary input/output

Call an algorithm with binary input by passing a Buffer into the pipe method. Similarly, if the algorithm response is binary data, then the get method on the response will be a byte array.

var buffer = fs.readFileSync("/path/to/bender.jpg");
client.algo("opencv/SmartThumbnail")
    .pipe(buffer)
    .then(function(response) {
        var buffer = response.get();
        // -> Buffer(...)
    });

Note: while it is possible to use response.result for text or JSON responses, in the case of a binary resonse, the result field will be base64-encoded. The get() method is recommended because it will return the correct type in all cases.

Error handling

If an error occurs when calling an algorithm, the response will contain an error field that you can check:

client.algo('util/whoopsWrongAlgo').pipe('Hello, world!')
      .then(function(response) {
          if(response.error) {
            console.log("Error: " + response.error.message);
          } {
            console.log(response.get());
          }
      });

Request options

The Algorithmia API exposes parameters to configure algorithm requests including support for changing the timeout of indicating that the API should include stdout in the response. Currently, the node.js client exposes these as query paremeters to the algorithm URI:

client.algo("algo://demo/Hello/0.1.1?timeout=10&stdout=true")
      .pipe("HAL 9000")

Note: stdout=true is only supported if you have access to the algorithm source.

Working with data

The Algorithmia client also provides a way to manage both Algorithmia hosted data and data from Dropbox or S3 accounts that you've connected to you Algorithmia account.

Create directories

Create directories by instantiating a Dir object and calling create():

var robots = client.dir("data://.my/robots");
robots.create(function(response) {
    if(response.error) {
        return console.log("Failed to create dir: " + response.error.message);
    }
    console.log("Created directory: " + robots.data_path);
});

Upload files to a directory

Upload files by calling the putFile method a Dir object or put on a File object:

var robots = client.dir("data://.my/robots");
robots.putFile("/path/to/Optimus_Prime.png", function(response) {
    if(response.error) {
        return console.log("Failed to upload file: " + response.error.message);
    }
    console.log("File uploaded.");
);

You can also write to a File using the put method with either a string or Buffer as input:

var prime = client.file("data://.my/robots/Optimus_Prime.txt");
prime.put("Leader of the Autobots", function(response) {
    if(response.error) {
        return console.log("Failed to upload file: " + response.error.message);
    }
    console.log("File uploaded.");
);

Download content from files

Download files by calling get on a File object:

var robots = client.dir("data://.my/robots");
 
// Get a text file's contents as a string
robots.file("T-800.txt").get(function(err, data) {
    console.log(data);
});
 
/// Get a binary file's contents as a Buffer
robots.file("T-800.jpg").get(function(err, data) {
    console.log("Received " + data.length + " bytes.");
    fs.writeFileSync("/tmp/T-800.jpg", data);
});

Delete files and directories

Delete files by calling delete on their respective File or Dir object. When deleting directories, you may optionally specify a force argument that indicates whether or not a directory should be deleted if it contains files or other directories (default = false).

var c3po = client.file("data://.my/robots/C-3PO.txt");
c3po.delete(function(response) {
    if(response.error) {
        return console.log("Failed to delete file: " + response.error.message);
    }
    console.log("Deleted file: " + c3po.data_path);
});
 
// Force delete a directory
client.dir("data://.my/robots")
    .delete(true, function(response) {
        /* ommitting callback implementation */
    });

List directory contents

Iterate over the contents of a directory using the iterated returned by calling forEachDir or forEachFile on a Dir object:

// List top level directories
client.dir("data://.my").forEachDir(function(err, dir) {
    if(err) {
        return console.log("Error: " + JSON.stringify(err));
    }
    console.log(dir.data_path);
}).then(function() {
    console.log("Finished listing directory");
});
 
 
// List files in the Public folder of your connected Dropbox account
client.dir("dropbox://Public").forEachFile(function(err, file) {
    if(err) {
        return console.log("Error: " + JSON.stringify(err));
    }
    console.log(file.data_path);
}).then(function() {
    console.log("Finished listing directory");
});

Building the client

This project uses gulp to compile coffeescript.

npm install
npm install -g gulp-cli
 
gulp

Note: Don't edit the .js in the lib directory; they will get overwritten on subsequent compiles. Instead, modify .coffee files in the src dir, and run gulp.

install

npm i algorithmia

Downloadsweekly downloads

17

version

0.3.10

license

MIT

homepage

github.com

repository

Gitgithub

last publish

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