hunter - Leche Asada - Graffi.so

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Purpose:

To find graffiti/street art hot-spots in cities around the world

Conditions:

• Do the above with pre-existing datasources
• Maintain accuracy to 90% for revelance of content (A nine in ten chance that a point is actually related to street art)
• Maintain geospatial accuracy to 90% that a point falls within 500 yards of it's actual location (Very difficult to verify and very dependent on externalities)

Priority:

• Animate title with D3
• User instructions
• Nav bar
• Separate out data_ingesting from Entry model
• Add slick

Things to get back to:

• randomise pretty line, for both instances
• Build title with d3 (MAINTAIN!)
• Sort out proper colour scheme
• Consider caching the random_images returns...
• Consider blurred graff texture as background
• Some sort of progress bar or indication of loading activity
• Add unicorn-worker-killer

Done:

• Add spork and factorygirl to facilitate testing
• Build data-miner-tag
• Sort out some sort of chron job to collect the datas off IG
• Build data-miner-user
• Extend data-miner-user to grab all records from a user
• See if Geocoder can determine the promixity of DB entries to one another
• IF GEOCODE WORKS: Add promixity to the Entry table
• Figure out what can be tested next
• Consider implementing a paginating capture of the tag/recent/media
• Get the most basic of D3 maps running
• Look at Google Map API to see if I can get the zooming range to expand (DEFACTO fixed because I changed the map type to ROADMAP) Weed out scores with a low prox score, to avoid displaying shitty data or distracting real data (Currently set to five).
• Get the prox rake task back up from the git history...I will need it to sort out
• See if I can do my proxing via :yandex (check Geocoder gem)
• Get a copy running on Heroku with all the records collected to date.
• IE, Learn how to grab a postgres data_dump and upload it to Heroku
• Research and read up on D3
• Mockup for the display
• Caching the page and the primary database response, so the page isn't waiting so long for those
• Make images clickable, with link to their instagram URL
• scale colour over pretty line
• Adding a d3 scale to the marker colouring
• build down arrow (Check out SIMBOL?)
• Deploy next version of app (v2)
• Make the images flexible?
• 1st pass at adding some more mobile friendly stylings
• Load data up to AWS and point heroku deploy to it
• Implement caching of feed data (Tried memcache, settled on Redis, still might use Postgres JSON or HSTORE)
• Need to look at auto-complete and the places library (want to find a cities/towns category)
• Need to instigate minimum zoom level
• Look at Google maps API to better understand it
• Scatter points on mouse over
• Fix arrow render in Firefox (CSSed it)
• Transition color on markers from dark to light?
• Zone out all the results, have them all cache seperately
• Adjust query field to return the appropriate zones
• 2nd pass at adding some more mobile friendly stylings
• Rescale the pretty lines according to page width (sorting out an event listener for window resize)
• Capture search locations and save in DB for later reference
• Hstore the DB
• Optimise database queries and returns (index zone? Use sql intersection)
• Prime cache
• Add legend to map
• Reorganise CSS to use SASS properly
• Style popup boxes, deh ugly
• Change after_validation to after_create
• Avoid broken images/Nuke broken images

Issues:

• Takes very long time to run RSPEC... (Assumed to be some issue with JS/D3/Capybara and the static pages. Tests turned off for now)
• hoover_tag will just start from the beginning again if it covers all of the images with that tag. (preciousgraffiti)
• Changing zoom level while transitions are taking place means that points get lost
• CORS still messing me around
• Fix CORS issues

Other graffiti projects

• http://www.streetartview.com/
• http://www.streetart-community.com/
• http://geostreetart.com/
• http://1amsf.com/mobile/about-mobile/

Leaflet version done list

• Create separate page for leaflet version
• Implement display of data
• Heatmap for overall layer
• Pick 20 cities to be the random start cities for the app
• Replicate autocomplete location search using Redis, a city dataset and JS
• Implement location detection
• onClick event (look into marker behaviour and see what can be done there)
• Legend or control?
• Demunt styles