I am working on an audio software that uses The EchoNest web service to identify and retrieve metadata about audio songs and I would like to have some advice on implementing a background processing chain.
(to get the full picture, I'll show you what I did already)
I've implemented the following chain that is mandatory before querying the service about a song's details:
Not much to say except that before being able to query song data, we need its fingerprint and a song ID returned by the Identify sub-process. Of all these steps, they all happen locally but the last one (Identify).
Now about the part of the system I'm seeking for advices:
Above are the different types of queries that can be requested for a song, they are not inter-dependent as we already have the only thing needed, the song ID (diagram 1). Note that I've only put a few but there are nearly 30 of them (see here).
- user can drop files at any time, they are queued for identification
- queries can run in parallel with step 1 and optionally concurrently
Ideally, the system should be:
- easily extensible when for instance, I implement a new type of query.
- easy to use, I just enqueue a query to the chain and wait for a response
Is there a particular/well-known pattern to tackle this problem ?