issue_comments
1 row where author_association = "NONE", body = "Ok, I'm taking a slightly different approach, which I think is sort of close to the in-memory _metadata table idea. I'm using a startup hook to load metadata / other info from the database, which I store in the datasette object for later: ``` @hookimpl def startup(datasette): async def inner(): datasette._mypluginmetadata = # await db query return inner ``` Then, I can use this in other plugins: ``` @hookimpl def render_cell(value, column, table, database, datasette): # use datasette._mypluginmetadata ``` For my app I don't need anything to update dynamically so it's fine to pre-populate everything on startup. It's also good to have things precached especially for a hook like render_cell, which would otherwise require a ton of redundant db queries. Makes me wonder if we could take a sort of similar caching approach with the internal _metadata table. Like have a little watchdog that could query all of the attached dbs for their _metadata tables every 5min or so, which then could be merged into the in memory _metadata table which then could be accessed sync by the plugins, or something like that. For most the use cases I can think of, live updates don't need to take into effect immediately; refreshing a cache every 5min or on some other trigger (adjustable w a config setting) would be just fine. " and issue = 930807135 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Plugin hook for dynamic metadata · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
1065929510 | https://github.com/simonw/datasette/issues/1384#issuecomment-1065929510 | https://api.github.com/repos/simonw/datasette/issues/1384 | IC_kwDOBm6k_c4_iMsm | khusmann 167160 | 2022-03-12T17:49:59Z | 2022-03-12T17:49:59Z | NONE | Ok, I'm taking a slightly different approach, which I think is sort of close to the in-memory _metadata table idea. I'm using a startup hook to load metadata / other info from the database, which I store in the datasette object for later:
Then, I can use this in other plugins:
For my app I don't need anything to update dynamically so it's fine to pre-populate everything on startup. It's also good to have things precached especially for a hook like render_cell, which would otherwise require a ton of redundant db queries. Makes me wonder if we could take a sort of similar caching approach with the internal _metadata table. Like have a little watchdog that could query all of the attached dbs for their _metadata tables every 5min or so, which then could be merged into the in memory _metadata table which then could be accessed sync by the plugins, or something like that. For most the use cases I can think of, live updates don't need to take into effect immediately; refreshing a cache every 5min or on some other trigger (adjustable w a config setting) would be just fine. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Plugin hook for dynamic metadata 930807135 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [issue] INTEGER REFERENCES [issues]([id]) , [performed_via_github_app] TEXT); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1