rufuspollock-okfn / labs-opd Goto Github PK

I was using a bar-code reader (for fun) and tried it on the search box with an ESBN (I think) from the back of a book. Specifically, 058489720300299500000017

It proceeded to crash. Attached, find the HTML document that resulted (since GitHub doesn't like raw HTML apparently)

DEBUG=True in the django settings managed to output what may be some useful information. May not be the best thing to have on a live website though.

DataError.html.zip

Page: http://labs-opd.herokuapp.com/download

All of the download links on that page are dead.

The links on http://product-open-data.com/download seem to be dead

Guys, your project looks really great and I am so glad I found it, but I think you've got a serious security issue: the debug mode is on.
Also, I tried to use your search input with data "50001125576642", but it showed me a full error stack. Please, turn off the debug mode, so any user won't see any sensitive data anymore

To be split out into proper issues:

• currently debug = true (unset for production)
• manage static files on production (put everything on Amazon S3)
• remove database dump from GitHub
• the top bar must be adapted be connected with http://product-data.okfnlabs.org
• download section ( http://labs-opd.herokuapp.com/download ): files to download must be stored somewhere (currently stored on the lab server (http://www.product-open-data.com/download/)
• the url http://www.product-open-data.com should be replaced by http://product-data.okfnlabs.org/browser/

I just would like to ask if the project is still maintained and the database updated? Seems like the last activities are from 2 years ago.

Thanks for the great tool btw!

When a user enters a valid GTIN-13 code but the product is not in the database, display a form so that the user can manually enter the product data. This data can be tagged "unverified" if necessary and possible with other metadata such as the user who entered it, the date created, etc... This would be enormously useful as it would help improve the number of products in the database.