AMP LAb - Task: Data Collection about metadb

[alastair]

Hi,
This is a good proposal. You're right, the discogs API should let you search tracks to get this information. For AcousticBrainz a useful format is JSON.
See the comment I left on issue 1: #1 (comment)
There is some information on how to structure the client code so that it can be used within the metadb framework.

[hellska]

Hi Alastair,
I just published a quite stable version of a python class that extract informations from the Discogs website. This is the link to the git repo https://github.com/hellska/DiscogScraper
I used curl to retrieve the data in json format from the website.
Many improvement can be done, I will continue implementing the class.
Basic functionality: match an artist/song in Discogs releases and count how many times a specific genre and style appear in the data. The basic weight computation can be done dividing the number of time a genre occur by the total number of times the song is found.

[alastair]

@hellska Can you merge your scraper into the metadb project? You can copy in your scraper code, perhaps to a lib or utils package, and then write a scrape method, like I describe here: #1 (comment)

[hellska]

Hi Alastair,
I sent a pull request to the metadb.
I created a new script to keep the class and its use separated, I tested it with the lookup.py. Check my pull request and tell me if everything is OK!

[alastair]

merged!