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I hadn’t considered utilizing Mastodon lists till I learn the frustration with lists chapter of Martin Fowler’s Exploring Mastodon, during which he writes:
I like lists as a result of they permit me to divide my timeline into matters that I wish to examine at totally different occasions. They’re irritating as a result of the instruments to handle them on Twitter are very restricted, making it harder to arrange the type of surroundings I might like. Mastodon has lists too, sadly their present admin instruments are simply as unhealthy.
This appeared like problem for Steampipe. To deal with this, I first wanted so as to add some new tables to the plugin to encapsulate the record APIs: mastodon_list and mastodon_list_account. I am going to save that story for an additional time. Right here I am going to simply present that collectively they permit queries like this.
choose l.title as record, array_agg(a.username order by a.username) as individuals from mastodon_list l be part of mastodon_list_account a on l.id = a.list_id group by l.title
+--------------+--------------------------------------+ | record | individuals | +--------------+--------------------------------------+ | Educational | ____, ______, ____, ___ | | Training | ___, ______ ___, ______ | | Vitality | ___, ______, ____ __ | | Fediverse | ____ __, | | Humor | ____, ____ __, ____ __ | | Journalism | ___ __, ___ ____, ___, ______ | | Library | __ | | Web | ___ __, _____, ___ __, __ __, ____ | | Science | __, ____ __, ______ | | Software program | ____ __, ______, ____ __ | +--------------+--------------------------------------+
That is a helpful view, and I’ve included it now, but it surely did not deal with Martin’s particular want.
To handle these lists, I actually need a display screen that reveals every account I observe in a desk with their lists. That approach I can simply see which record every account is on and spot accounts that are not on a listing.
For that I wanted so as to add a prepared column to the Following eyelash.
This was the unique question.
choose url, case when display_name="" then username else display_name finish as individual, to_char(created_at, 'YYYY-MM-DD') as since, followers_count as followers, following_count as following, statuses_count as toots, notice from mastodon_following order by individual
The brand new model captures the previous mixture of mastodon_list Y mastodon_list_accountand joins it to mastodon_following (individuals I observe) desk. It is a left be part of, which implies I am going to all the time get everybody I observe. If you’re not on a listing, your prepared the column might be null.
with information as ( choose l.title as record, a.* from mastodon_list l be part of mastodon_list_account a on l.id = a.list_id ), mixed as ( choose d.record, f.url, case when f.display_name="" then f.username else f.display_name finish as individual, to_char(f.created_at, 'YYYY-MM-DD') as since, f.followers_count as followers, f.following_count as following, f.statuses_count as toots, f.notice from mastodon_following f left be part of information d on f.id = d.id ) choose * from mixed order by individual
That question drives the brand new model of the Following eyelash.
It is fairly sparse, I simply began including individuals to lists. And actually, I am undecided I wish to hold doing this curating, it is the type of factor that may grow to be a burden, I have to mess around a bit extra earlier than committing. In the meantime, the default order places unlisted individuals first in order that they’re straightforward to search out.
To supply a greater strategy to discover people who find themselves on lists, I’ve expanded the Prepared tab in a few methods. I had included a dropdown of lists by which to filter the house timeline. Now that dropdown has counts of individuals in every itemizing.
I additionally used this question to develop the Prepared eyelash.
choose l.title as record, array_to_string( array_agg( decrease(a.username) order by decrease(a.username)), ', ') as individuals from mastodon_list l be part of mastodon_list_account a on l.id = a.list_id group by l.title
The result’s the prepared / individuals desk on the proper.
I do know some won’t settle for this SQL-forward programming mannequin. However for others who will, I wished to indicate some detailed examples to offer you an concept of what’s attainable on the intersection of Mastodon and Steampipe.
For those who’re not tuned into SQL (as I wasn’t for a very long time), here is your takeaway: As SQL goes, this is not too scary. Sure, there are unions, sure, there’s a
array_agg which transposes a column to a listing. It isn’t SQL for novices. However many individuals know tips on how to use
be part of Y
array_agg On this approach, many extra may simply discover ways to do it, and with SQL on the rise immediately, these are expertise value having.
- Hope for the devoted
- Create a Mastodon panel with Steampipe
- Navigating the fediverse
- A Bloomberg terminal for Mastodon
- Create your personal Mastodon UX
- Lists and folks on Mastodon
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