phantomJS runs outside the browser but implements enough of the DOM that you can use it for testing, rendering screenshots, running http: requests, etc.,
http://phantomjs.org/index.html
Have installed locally in: tkzic/phantomjs (binary is in the bin/ folder)
node wrapper for curl
by jiangmiao
https://npmjs.org/package/node-curl
How to run curl from the shell in node.js: http://query7.com/nodejs-curl-tutorial
A variation on the Twitter mood-lamp program.
note 6/2014 – this may not work due to changes in oauth
local files:
It grabs a ‘feed’ or any URL which returns a bunch of text. Then it does some analysis on the text, and using the results to send RGB data back to Max using OSC.
An example of using the twitter4j library in Processing to do a Twitter search and display the results on a world map.
local file is in: documents/processing/Processing_Twitter
More information about twitter4j in processing:
https://forum.processing.org/topic/json-quiry-twitter
https://forum.processing.org/topic/twitter-streaming
Running in Pure Data
(update) Tried this with guitarist John Drew today (2/26/2012). We ran the guitar directly into the iMic (switched to microphone, not line) and the output of iMic into an amplifier. The R-Pi was plugged into to wifi router with an Ethernet cable, so we could use touchOsc to control the delay parameters. It sounded great.
We talked about the possibility of making this into a ‘product’. One idea would be to ditch the Osc controls and build a simple hardware interface – some encoders, switches, and LED’s. You could map everything in PD and download new patches using an ethernet cable or a usb wifi connection – or even some kind of serial/usb link.
Yesterday I programmed a simple variable delay effect in pd to run on Raspberry-Pi. Control was using touchOSC as described in previous posts. I ran the effect in mono at 32k sampling rate – and it sounded great. Also its using the Griffin iMic for sound.
Here’s the command line to set the sample rate and number of channels:
pd-extended -r 32000 -nogui -channels 1 delay-effect-osc.pd
Local files:
Find out which applications are using what resources.
At the Mac Developer Library
I’ve revised the php program that streams Tweets and sends them to Max, to remove hyperlinks, RT indicators, user mentions, and ascii art. Now it works better with text-to-speech.
things that could be done in a future project:
from https://dev.twitter.com/docs/streaming-apis
This diagram shows the process of handling a stream, using a data store as an intermediary.
The JSON response breaks out various components of the tweet like hashtags and URL’s but it doesn’t provide a clean version of the text – which for example could be converted to speech.
Here’s a sample response which shows all the fields:
{
"created_at": "Sat Feb 23 01:30:55 +0000 2013",
"id": 305127564538691584,
"id_str": "305127564538691584",
"text": "Window Seat #photo #cats http:\/\/t.co\/sf0fHWEX2S",
"source": "\u003ca href=\"http:\/\/www.echofon.com\/\" rel=\"nofollow\"\u003eEchofon\u003c\/a\u003e",
"truncated": false,
"in_reply_to_status_id": null,
"in_reply_to_status_id_str": null,
"in_reply_to_user_id": null,
"in_reply_to_user_id_str": null,
"in_reply_to_screen_name": null,
"user": {
"id": 19079184,
"id_str": "19079184",
"name": "theRobot Vegetable",
"screen_name": "roveg",
"location": "",
"url": "http:\/\/south-fork.org\/",
"description": "choose art, not life",
"protected": false,
"followers_count": 975,
"friends_count": 454,
"listed_count": 109,
"created_at": "Fri Jan 16 18:38:11 +0000 2009",
"favourites_count": 1018,
"utc_offset": -39600,
"time_zone": "International Date Line West",
"geo_enabled": false,
"verified": false,
"statuses_count": 10888,
"lang": "en",
"contributors_enabled": false,
"is_translator": false,
"profile_background_color": "1A1B1F",
"profile_background_image_url": "http:\/\/a0.twimg.com\/profile_background_images\/6824826\/BlogisattvasEtc.gif",
"profile_background_image_url_https": "https:\/\/si0.twimg.com\/profile_background_images\/6824826\/BlogisattvasEtc.gif",
"profile_background_tile": true,
"profile_image_url": "http:\/\/a0.twimg.com\/profile_images\/266371487\/1roveggreen_normal.gif",
"profile_image_url_https": "https:\/\/si0.twimg.com\/profile_images\/266371487\/1roveggreen_normal.gif",
"profile_link_color": "2FC2EF",
"profile_sidebar_border_color": "181A1E",
"profile_sidebar_fill_color": "252429",
"profile_text_color": "666666",
"profile_use_background_image": false,
"default_profile": false,
"default_profile_image": false,
"following": null,
"follow_request_sent": null,
"notifications": null
},
"geo": null,
"coordinates": null,
"place": null,
"contributors": null,
"retweet_count": 0,
"entities": {
"hashtags": [{
"text": "photo",
"indices": [12, 18]
}, {
"text": "cats",
"indices": [19, 24]
}],
"urls": [{
"url": "http:\/\/t.co\/sf0fHWEX2S",
"expanded_url": "http:\/\/middle-fork.org\/?p=186",
"display_url": "middle-fork.org\/?p=186",
"indices": [25, 47]
}],
"user_mentions": []
},
"favorited": false,
"retweeted": false,
"possibly_sensitive": false,
"filter_level": "medium"
}
A method using regexp and php. Actually what this does is parse Tweets using regexp to reformat the text as html with links. A tutorial here:
http://saturnboy.com/2010/02/parsing-twitter-with-regexp/
This is a php library that breaks out hashtags, usernames, etc., but doesn’t really provide a way to isolate the remaining stuff. I have put it in tkzic/API – there is an example php program provided.
https://github.com/mzsanford/twitter-text-php
hashtags – using regular expressions
http://stackoverflow.com/questions/11551065/parsing-tweets-to-extract-hashtags-in-r
twitter-text-rb : ruby gem which parses out usernames and hashtags
https://github.com/twitter/twitter-text-rb