Configuring Node.js Web Applications… Manually || Convict.js

There’s more than a few ways to configure node.js applications. I’ll discuss a few of them in this blog entry, so without mincing work, to configuring apps!

Solution #1: Build Your Own Configuration

Often this is a super easy solution when an application just needs a single simple configuration. Here’s an example I found that’s pretty clean that Noli posted on Stackoverflow to the question “How to store Node.js deployment settings/configuration files?“.

[sourcecode language=”javascript”]
var config = {}

config.twitter = {};
config.redis = {};
config.web = {};

config.default_stuff = [‘red’,’green’,’blue’,’apple’,’yellow’,’orange’,’politics’];
config.twitter.user_name = process.env.TWITTER_USER || ‘username’;
config.twitter.password= process.env.TWITTER_PASSWORD || ‘password’;
config.redis.uri = process.env.DUOSTACK_DB_REDIS;
config.redis.host = ‘hostname’;
config.redis.port = 6379;
config.web.port = process.env.WEB_PORT || 9980;

module.exports = config;
[/sourcecode]

…then load that in with a require…

[sourcecode language=”javascript”]
var config = require(‘./config’)
[/sourcecode]

The disadvantage is when the application gets a little bigger the configuration can become unwieldy without very specific, strictly enforced guidelines.

Solution #2: Use a Library/Framework Like Convict.js

The use of a library provides some baseline in which to structure configuration. In the case of convict.js it uses a baseline schema that then can be used to extend or override based on configurations needed for alternate environments. A first steps in setting up convict.js for the fueler project looks like this.

Setup a convict.js file:

[sourcecode language=”javascript”]
var convict = require(‘convict’);

// Schema
var conf = convict({
env: {
doc: "The App Environment.",
format: ["production", "development", "test"],
default: "development",
env: "NODE_ENV"
},
port: {
doc: "The port to bind.",
format: "port",
default: 3000,
env: "PORT"
},
database: {
host: {
default: "someplace:cool",
env: "DB_HOST"
}
}
});

// perform validation
conf.validate();

module.exports = conf;
[/sourcecode]

The main two configuration values are the environment and port values. Others will be added as more of the application is put together, but immediately I just wanted something to put in the project to insure it works.

Next get the convict.js library in the project.

[sourcecode language=”bash”]
npm install convict –save
[/sourcecode]

The save gets it put into the package.json file as a dependency. Once this is installed I opened up the app.js file of the project and added a require at the top of the file after the path require and before the express() call.

[sourcecode language=”javascript”]
var path = require(‘path’);
var config = require(‘./config’);

var app = express();
[/sourcecode]

In the app.set line for the port I changed the setting of the port to be the configuration parameter.

[sourcecode language=”javascript”]
app.set(‘port’, process.env.PORT || config.get(‘port’));
[/sourcecode]

Now when I run the application, the port will be derived from the config.js file setting.

Now What Did I Do?

I’ll write more about this in the near future, but for now I’ve run into something not being setup right. I’m still working through various parts of customizing my setup. In the instructions for convict.js, which aren’t very thorough beyond the most basic use, is how to insure that the other environments are setup with *.json files. What I mean by this is…

I’ve setup a directory with three json files. It looks like this.

My Config Directory
My Config Directory

Each of these files (or at least one of the files) I would think, based on the instructions, get loaded and merged into configuration based on the code in my app.js as shown below.

[sourcecode language=”javascript”]
var env = conf.get(‘env’);
conf.loadFile(‘./config/’ + env + ‘.json’);
[/sourcecode]

The order of override for the configuration values starts with the base config.js, then any *.json files override those config.js settings and any environment variables override the *.json set configuration variables. Based on that, unless of course I’ve missed something for this snippet of code, I should be getting the configuration settings from the *.json files.

My config file data looks like this. Since it is using cjson I went ahead and stuck comments in there too.

[sourcecode language=”javascript”]
/**
* Created by adron on 3/14/14.
* Description: Adding test configuration for the project.
*/

{
"port": {
"doc": "The port to bind.",
"format": "port",
"default": 1337,
"env": "PORT"
}
}
[/sourcecode]

Until later, happy coding, I’m going to dive into this and figure out what my issue is. In my next blog entry I’ll be sure to post an update to what the problem is.

Oh, and that fueler project. Feel free to ping me and jump into it.

WebStorm JavaScripting & Noding Workflow Webinar Recording

Today the JetBrains team wrapping up final processing for my webinar from last week. You can check out the webinar via their JetBrains Youtube Channel:

JavaScriptFor even more information be sure to check out the questions and answers on the JetBrain WebStorm IDE blog entry. Some of the questions include:

  • Q: How to enable Node.js support in PhpStorm (PyCharm, IntelliJ IDEA, RubyMine)?
  • Q:How to enable autocompletion for Express, Mocha and other libraries?
  • Q: Is it possible to debug a Node.js application that runs remotely? Is it possible to debug when your node and the rest of the dependencies (database, etc.) are running in a VM environment like Vagrant?
  • Q: Does the debugger support cluster mode?

…and others all here.

I’ve Got a JavaScript & Node.js Webinar, Webstorm Tutorial Videos, Work & Flow With JavaScript Development and More…

Webinar: Node.js Development Workflow in WebStorm

This coming week I’m doing an intro to work and flow with Node.js JavaScript Programming that I’m working with JetBrains on. In the webinar I’ll be covering the following key topics in the webinar:

  • Open an existing project & getting WebStorm configured for running, testing and related working tasks.
  • A quick tour of other IDE features that help with daily work. Some in pretty huge ways.
  • Running WebStorm & debugging Node.js JavaScript applications.
  • Checking out Mocha, how it works and what it gives WebStorm the power to do. Then we’ll write a few tests & implement that code too.

All this will include Q & A throughout and at the end of the webinar. Be sure to register soon!

WebStorm Tutorials: Learning Shortcuts, Customizing Layout and Others

These WebStorm Tutorials have been put together by John Lindquist @johnlindquist for JetBrains. There solid, quick snippets of useful WebStorm usage. Two that I’ve found really useful I’ve included here:

John also has a lot of other great totally kick ass material out there. So check out his blog @ http://johnlindquist.com/ and follow his youtube channel too.

Coming Up in the Near Future, The Work & Flow of JavaScript Development

I have a new course I’m working on right now for Pluralsight, that will take these basic precepts and dive even deeper into the daily workflow of the JavaScript Developer. Whether it’s client side hacking or server side coding, I’ll be diving into a whole lot of JavaScript goodness. If you’d like me to ping you when the course is done, hit me up on Twitter @adron and just let me know. In the meantime get a Pluralsight subscription (free to sign up and at least give it a try) and check out these courses by myself and others.

History of Symphonize.js – JavaScript Client Pivot to Data Generation Library

…the history of symphonize.js So Far!

NOTE: If you just want to check out the code bits, scroll down to the sub-title #symphonize #hacking. Also important to note I’m putting the library through a fairly big refactor at the moment so that everything aligns with the documentation that I’ve recently created. So many things may not be implemented, but we’re moving toward v0.1.0, which will be a functional implementation of the library available via npm based entirely on the documentation and specs that I outline after the history.

A Short History

I started the symphonize.js project back on the 1st of November. Originally I started the project as a client driver library for Orchestrate.io, but within a day Chris Molozian commented and pointed out that there was already a client driver library for Orchestrate.io available that Steve Kaliski (Github @sjkaliski and Twitter @stevekaliski and http://stevekaliski.com/) had coded called logically orchestrate.js. Since this was available I did a pivot to symphonize.js being a data generation project instead.

The comment that enabled symphonize.js to pivot from client driver to data generation library.
The comment that made me realize symphonize.js should pivot from client driver to data generation library.

The Official Start of Symphonize.js

After that start and quick pivot I posted a blog with Orchestrate.io titled “Test Data Builder Symphonize.js With Chance.js (1/3)” to officially start the project. In that post I covered key value and graph basics, with a dive into using chance.js and orchestrate.js with examples. Near the same time I also posted a related blog on publishing an NPM module, which is the deployment focus of Symphonize.js.

Reasons Reasoning

There are two main reasons why I chose Orchestrate.io and a data generation library as the two things I wanted to combine. The first, is I knew the orchestrate.io team and really dug what they were building. I wanted to work with it and check out how well it would work for my use cases in the future. The ability to go sit down, discuss with them what they were building was great (which I interviewed Matt Heitzenroder @roder that you can watch Orchestrate.io, Stop Dealing With the Database Infrastructure!) The second reason is that my own startup that I’m co-founding with Aaron Gray (@agray) needed to use key value and graph data storage of some type, somewhere. Orchestrate.io looked like a perfect fit. After some research, giving it a go, it fit very well into what we are building.

CRUD, cURL Hacking & Next Steps

Early December I knocked out two support articles about testing APIs with cURL in Some JavaScript API Coding With Restify & Express & Hacking it With cURL …Segment #1 (with some Webstorm to boot) and Some JavaScript API Coding With Restify & Express & Hacking it With cURL …Segment #2 and an article on the Orchestrate.io Blog for part 2 of that series titled Symphonize Some Create, Read, Update & Delete [CRUD] via Orchestrate.js (2/3).

December then rolled into the standard holiday doldrums and slowdowns. So fast forward to January post a few rounds of beer and good tidings and I got the 3rd in the series published titled Getting Serious With Symphony.js – JavaScript TDD/BDD Coding Practices (3/3). The post doesn’t speak too much to symphony.js usage but instead my efforts to use TDD or BDD practices in trying to write the library.

Slowly I made progress in building the library and finally it’s in a mostly releasable state now. I use this library daily in working with the code base for Deconstructed and imagine I’ll use it ongoing for many other projects. I hope others might be able to find uses for it too and maybe even add capabilities or ideas. Just ping me via Twitter @adron or Github @adron, add an issue on Github and I’ll be happy to accept pull requests for new features, code refactoring, add you to the project or whatever else you’re interested in.

#symphonize #hacking

Now for the nitty gritty. If you’re up for using or contributing to the project check out the symphonize.js github pages site first. It’s got all the information to help get you kick started. However, you can keep reading as I’ve included much of the information there along with the examples from the README.md below.

NOTE: As I mentioned at the top of this blog entry, the funcitonal implementation of code isn’t available via npm just yet, myself and some others are ripping through a good refactor to align the implementation fo the library with the rewritten and newly available documentation – included blow and at the github pages.

How to use this project in one of your projects.

[sourcecode language=”bash”]
npm install symphonize
[/sourcecode]

How to setup this project for development.

First fork the repository located at https://github.com/Adron/symphonize.

[sourcecode language=”javascript”]
git clone git@github.com:YourUserName/symphonize.git
cd symphonize
npm install
[/sourcecode]

Using The Library

The intended usage is to invocate the JavaScript object and then call generate. That’s it, a super simple process. The code would look like this:

[sourcecode language=”javascript”]var Symphonize = require(‘../bin/symphonize’);
var symphonize = new Symphonize();
[/sourcecode]

The basic constructor invocation like this utilizes the generate.json file to generate data from. To inject the json configuration programmatically just inject the json configuration information via the constructor.

[sourcecode language=”javascript”]
var configJson = {"schema":"keyvalue"};

var Symphonize = require(‘../bin/symphonize’);
var symphonize = new Symphonize();
[/sourcecode]

Once the Symphonize data generator has been created call the generate() method as shown.

[sourcecode language=”javascript”]
symphonize.generate();
[/sourcecode]

That’s basically it. But you say, it’s supposed to do X, Y or Z. Well that’s where the json configuration data comes into play. In the configuration data you can set the data fields and what they’ll generate, what type of data will be generated, the specific schema, how many records to create and more.

generate.json

The library comes with the generate.json file already setup with a working example. Currently the generation file looks like this:

[sourcecode language=”javascript”]
{
"schema": "keyvalue", /* keyvalue, graph, event, geo */
"count": 20, /* X values to generate. */
"write_source": "console", /* console, orchestrateio and whatever other data sources that might come up. */
"fields": {
/* generates a random name. */
"fieldName": "name",
/* generates a random dice roll of a d20. */
"fieldTwo": "d20",
/* A single lorum ipsum random statement is genereated. */
"fieldSentence": "sentence",
/* A random guid is generated. */
"fieldGuid": "guid" }
}
[/sourcecode]

Configuration File Definitions

Each of the configuration options that are available have a default in the configuration file. The default is listed in italics with each definition of the configuration option listed below.

  • schema” : This is used to select what type of data structure type is going to be generated. The default iskeyvalue for this option.
  • count” : This provides the total records that are to be generated by the library. The default is 1 for this option.
  • write_source” : This provides the location to output the generated data to. The default is console for this option.
  • fields” : This is a JSON field within the JSON configuration file that provides configuration options around the fields, number of fields and their respective data to generate. The default is one field, with a default data type of guid. Each of the respective entries in this JSON option is a self contained JSON name and value pair. This then looks simply like this (which is also shown above in part):[sourcecode language=”javascript”]{
    "someBoolean": "boolean",
    "someChar": "character",
    "aFloat": "float",
    "GetAnInt": "integer",
    "fieldTwo": "d20",
    "diceRollD10": "d10",
    "_string": {
    "fieldName": "NameOfFieldForString",
    "length": 5,
    "pool": "abcdefgh"
    },
    "_sentence": {
    "fieldName": "NameOfFiledOfSentences",
    "sentence": "5"
    },
    "fieldGuid": "guid"
    }
    [/sourcecode]
  • Fields Configuration: For each of the fields you can either set the field to a particular data type or leave it empty. If the field name and value pair is left empty then the field defaults to guid. The types of data to generate for fields are listed below. These listed are all simple field and data generation types. More complex nested generation types are listed below under Complex Field Configuration below the simple section.
    • boolean“: This generates a boolean value of true or false.
    • character“: This generates a single character, such as ‘1’, ‘g’ or ‘N’.
    • float“: This generates a float value, similar to something like -211920142886.5024.
    • integer“: This generates an integer value, similar to something like 1, 14 or 24032.
    • d4“: This generates a random integer value based on a dice roll of one four sided dice. The integer range being 1-10.
    • d6“: This generates a random integer value based on a dice roll of one six sided dice. The integer range being 1-10.
    • d8“: This generates a random integer value based on a dice roll of one eight sided dice. The integer range being 1-10.
    • d10“: This generates a random integer value based on a dice roll of one ten sided dice. The integer range being 1-10.
    • d12“: This generates a random integer value based on a dice roll of one twelve sided dice. The integer range being 1-10.
    • d20“: This generates a random integer value based on a dice roll of one twenty sided dice. The integer range being 1-20.
    • d30“: This generates a random integer value based on a dice roll of one thirty sided dice. The integer range being 1-10.
    • d100“: This generates a random integer value based on a dice roll of one hundred sided dice. The integer range being 1-10.
    • guid“: This generates a random globally unique identifier. This value would be similar to ‘F0D8368D-85E2-54FB-73C4-2D60374295E3’, ‘e0aa6c0d-0af3-485d-b31a-21db00922517’ or ‘1627f683-efeb-4db8-8174-a5f2e3378c87’.
  • Complex Field Configuration: Some fields require more complex configuration for data generation, simply because the data needs some baseline of what the range or length of the values need to be. The following list details each of these. It is also important to note that these complex field configurations do not have defaults, each value must be set in the JSON configuration or an error will be thrown detailing that a complex field type wasn’t designated. Each of these complex field types is a JSON name and value parameter. The name is the passed in data type with a preceding underscore ‘_’ to generate with the value having the configuration parameters for that particular data type.
    • _string“: This generates string data based on a length and pool parameters. Required fields for this include fieldName, length and pool. The JSON would look like this:[sourcecode language=”javascript”]"_string": {
      "fieldName": "NameOfFieldForString",
      "length": 5,
      "pool": "abcdefgh"
      }
      [/sourcecode]

      Samples of the result would look like this for the field; ‘abdef’, ‘hgcde’ or ‘ahdfg’.

    • _hash“: This generates a hash based on the length and upper parameters. Required fields for this included fieldName, length and upper. The JSON would look like this:[sourcecode language=”javascript”]"_hash": {
      "fieldName": "HashFieldName",
      "length": 25,
      "casing": ‘upper’
      }
      [/sourcecode]

      Samples of the result would look like this for the field: ‘e5162f27da96ed8e1ae51def1ba643b91d2581d8’ or ‘3F2EB3FB85D88984C1EC4F46A3DBE740B5E0E56E’.

    • _name”: This generates a name based on the middle, *middleinitial* and prefix parameters. Required fields for this included fieldName, middle, middle_initial and prefix. The JSON would look like this:[sourcecode language=”javascript”]"_name": {
      "fieldName": "nameFieldName",
      "middle": true,
      "middle_initial": true,
      "prefix": true
      }
      [/sourcecode]

      Samples of the result would look like this for the field: ‘Dafi Vatemi’, ‘Nelgatwu Powuku Heup’, ‘Ezme I Iza’, ‘Doctor Suosat Am’, ‘Mrs. Suosat Am’ or ‘Mr. Suosat Am’.

So that covers the kick start of how eventually you’ll be able to setup, use and generate data. Until then, jump into the project and give us a hand.

After this, more examples on the way, cheers!

Plotting Good Things in Portland :: pdxbridge.js / WTF Databases /

Several people got together yesterday to start planning things for 2014 in PDX. It ranged from coding workshops to PDX Node to Node PDX to what kind of food to eat at for lunch. Ya know, daily tactical things that come along with the big picture items. 😉

bridge.js badge.
bridge.js badge.

Two things that I want to bring up to the community out there. One is a workshop that I’ll likely lead efforts to organize and the other is something I’ll just call pdxbridge.js for now. The workshop will cover the topics of which and what databases to use for what data and how to implement. The pdxbridge.js project is about determining the raised or lowered state of the bridges here in Portland.

Some of the other projects, workshops and other topics we discussed included getting a workshop put together around unit, integration and testing code from a behavioral, test driven development or other approaches. This workshop we don’t have anyone to teach, but we’d (ok, so I really really would love to attend a workshop on this) really like to find somebody who would be willing to teach a workshop of this sort, with a focus on Javascript as the language. On that same topic however, if you’re into Java, Erlang, Scala, Haskell or others and would like to teach a TDD, BDD or related testing workshop please get in touch with me. We will work on making that happen! Ping me at adron at composite code dot com. 😉

Workshop: Intro to Databases & Data

(Relational, Key/Value, Distributed, Graph, Event Series, etc.)

This is a course I’ll lead and others will work with me on to put something extra useful together. We will then teach the workshop as a group, kind of a team paired programming teaching workshop. If there is anything in particular that you’d like to learn about, any questions that you have about data and usage in applications or otherwise add your two cents on this blog entries comments. Over the next month we’ll be putting together the material and have the course available sometime early this year. So if you’d like to attend, jump in at any time with the conversation or just keep a read here and I’ll have more information about the course as we get it put together.

Let’s Make pdxbridge.js Happen!

The pdxbridge.js project is all about determining if a bridge in Portland is up or down. Right now there are  several bridges that matter, that are on this list;

If we add other information to track about the bridges we might add the other 3 that exist and the new bridge that is being built. however the five listed are the only bridges that have a raised and lowered state, and in one case the Steel Bridge has a lowered, partially raised and fully raised state. As shown on the pdxbridge.js badge I threw together (shown above).

To get involved with pdxbridge.js go add your input on this issue I started to discuss our first meet, plan and hack.