do not require coffeescript to be installed globally

README.md

@@ -53,15 +53,11 @@ Easiest is installing hashmonitor globally:
 
     $ sudo npm install -g hashmonitor
 
-...you may also need to install coffee-script if you don't have it:
-
-    $ sudo npm install -g coffee-script
-
 Then just run the HashMonitor using the default stdin/stdout:
 
     $ hashmonitor
 
-Once you are here, just type some fake log messages in:
+Once you are here, just type some fake log messages into stdin:
 
     hello #world
     goodnight #moon

bin/hashmonitor

@@ -1,38 +1,4 @@
-#!/usr/bin/env coffee
+#!/usr/bin/env node
 
-HashMonitor = require('../lib/hashmonitor').HashMonitor
-HttpAccessLogParser = require('../lib/inputs/httpaccess').HttpAccessLogParser
-
-DEFAULT_MILLISECONDS_FOR_SINGLE_STATS_WINDOW = 30 * 1000
-
-# Initialize the HashMonitor collector that will contain all the
-# parsed log lines and calculated statistics.
-monitor = new HashMonitor()
-
-# Keep a list of pre-parsers
-preParsers = []
-
-# Parse most HTTP log formats into plaintext strings.  This should
-# be safe for non-HTTP log lines, but probably should make this configurable
-# instead configurat
-if '--parse-http-access' in process.argv
-  preParsers.push(new HttpAccessLogParser())
-
-# Listen for data on standard input (default input for log lines).
-# TODO: add other input options
-process.stdin.resume()
-process.stdin.setEncoding('utf8')
-process.stdin.on 'data', (line) ->
-  for parser in preParsers
-    line = parser.parse(line)
-  monitor.parse(line)
-
-# Periodically output the statistics for this monitor as JSON dictionaries
-# so that other scripts can send these stats into other systems.
-setInterval(
-  ->
-    # TODO: add other output options
-    console.log(monitor.calculate())
-    monitor.reset()
-  , DEFAULT_MILLISECONDS_FOR_SINGLE_STATS_WINDOW
-  )
+require('coffee-script')
+require('../lib/commandline').run()

lib/commandline.coffee

@@ -0,0 +1,40 @@
+HashMonitor = require('./hashmonitor').HashMonitor
+HttpAccessLogParser = require('./inputs/httpaccess').HttpAccessLogParser
+
+DEFAULT_MILLISECONDS_FOR_SINGLE_STATS_WINDOW = 30 * 1000
+
+run = ->
+
+  # Initialize the HashMonitor collector that will contain all the
+  # parsed log lines and calculated statistics.
+  monitor = new HashMonitor()
+
+  # Keep a list of pre-parsers
+  preParsers = []
+
+  # Parse most HTTP log formats into plaintext strings.  This should
+  # be safe for non-HTTP log lines, but probably should make this configurable
+  # instead configurat
+  if '--parse-http-access' in process.argv
+    preParsers.push(new HttpAccessLogParser())
+
+  # Listen for data on standard input (default input for log lines).
+  # TODO: add other input options
+  process.stdin.resume()
+  process.stdin.setEncoding('utf8')
+  process.stdin.on 'data', (line) ->
+    for parser in preParsers
+      line = parser.parse(line)
+    monitor.parse(line)
+
+  # Periodically output the statistics for this monitor as JSON dictionaries
+  # so that other scripts can send these stats into other systems.
+  setInterval(
+    ->
+      # TODO: add other output options
+      console.log(monitor.calculate())
+      monitor.reset()
+    , DEFAULT_MILLISECONDS_FOR_SINGLE_STATS_WINDOW
+    )
+
+exports.run = run

package.json

@@ -0,0 +1,19 @@
+{
+    "name": "hashmonitor",
+    "version": "0.0.1",
+    "author": "Matt Pizzimenti",
+    "description": "Turn logs into metrics like a boss",
+    "repository": {
+        "url": "https://github.com/olark/hashmonitor"
+    },
+    "main": "lib/hashmonitor",
+    "dependencies": {
+        "coffee-script": "*"
+    },
+    "devDependencies": {
+        "nodeunit": "*"
+    },
+    "scripts": {
+        "prepublish": "coffee -c lib"
+    }
+}