Closed PHI34Halladay closed 1 month ago
Theoretically it's possible but it's probably more bother than it's worth.
There are ESPN APIs that provide a list of teams in a league. You could theoretically use that response to generate the YAML to create the sensors for all of the teams and then paste it into the sensor.yaml file.
To get you started, here is the API that returns the teams in the NFL. I haven't tried but I assume you get other team lists by changing the sport and the league in the URL. It should give you a sense of the data that comes back and what you would have to do to parse it to generate the YAML. If you do, feel free to post it in the Wiki so others can use it.
https://site.api.espn.com/apis/site/v2/sports/football/nfl/teams
The Wiki has an entry that provides links to several pages that provide details to other ESPN APIs.
Thanks for the response. I'll stick to the manual updates ahead of each new season ;)
Here is a project has an xsl file that they use to generate the yaml. You might want to look at it to see what they are doing and see if it will work for you.
I was playing around today and ChatGPT did a remarkably good job at generating the YAML.
If you give it the YAML for one team and then ask it to generate the YAML for all of the teams in a league or conference, it does a remarkably good job of doing so. I would try it. It will at least give you a good place to start and you might have to make minor corrections.
Hi,
I was wondering if there's some kind of automation that adds team sensors from a specific league to my yaml.
For example: There are a lot of college football realignments for the new season with loads of teams changing conferences or the new UEFA Champions League (soccer) will feature different teams every year and so on.
I don't really want to write down the platform, league_id, team_id, name part for every new team every once in a while...
Is there any chance to get those information without manually writing everything down?