A month on, and my little program to suck up and display the podcasts I have listen ed to is working well, but not perfectly. It still sometimes duplicates an entry it has already created, and I have been having a difficult time trying to work out why.

One simple reason for the difficulty is that I do not want to hammer Overcast with requests for my detailed OPML file. There's a rate limit on requests. I have no idea what the limit is, but I do not want to reach it. So, when I think I might have solved the problem, on stored data, I have to wait a day or so to try it against the live data. Occasionally I think I've cracked it, and then it breaks again, and the honest truth is that I have not been able to pin the source of the breakage down to my code or the OPML file I receive.

I've tried working on the stored data to see whether I can narrow the problem down, and that's great, as far as it goes. But, as I said, I have to wait until I've listen ed to another couple of podcasts before I can try it again for real, which makes for slow going.

The difficulty seems to be that Overcast stores whether I have deleted the episode, whether listening is in progress and whether it has been played, each as separate key:value pairs. I don't want things that have been deleted unlisten ed and I don't want things that are still in progress. I only want things that have been played, no matter whether they have been deleted meanwhile. The logic for that is proving trickier than I expected.

Right now, I run the program manually, check for problems and then push the new posts out there. I won't be able to automate it until it has been working perfectly for a week or two, which may be never.

A side effect of all this has been that I have not devoted much time to any other sort of writing here. It being Friday afternoon, maybe I'll spend the rest of it rectifying that.

Two ways to respond: webmentions and comments


Webmentions allow conversations across the web, based on a web standard. They are a powerful building block for the decentralized social web.

“Ordinary” comments

These are not webmentions, but ordinary old-fashioned comments left by using the form below.

Reactions from around the web