This note includes two images.
The Python logo
The Evernote logo
```
That hash is the md5 we use to store resources. It should be possible to turn these into embedded image tags, especially if done in conjunction with the https://github.com/simonw/datasette-media plugin.",303218369,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
695556681,MDU6SXNzdWU2OTU1NTY2ODE=,19,Figure out incremental re-indexing,9599,open,0,,,2,2020-09-08T05:23:31Z,2020-09-08T05:27:07Z,,MEMBER,,As tables get bigger reindexing everything on a schedule (essentially recreating the entire index from scratch) will start to become a performance bottleneck.,197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/19/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
496415321,MDU6SXNzdWU0OTY0MTUzMjE=,1,Figure out some interesting example SQL queries,9599,open,0,,,9,2019-09-20T15:28:07Z,2021-05-03T03:46:23Z,,MEMBER,,My knowledge of genetics has left me short here. I'd love to be able to provide some interesting example SELECT queries - maybe one that spots if you are [likely to have red hair?](https://www.snpedia.com/index.php/Rs1805007),209590345,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
689848827,MDU6SXNzdWU2ODk4NDg4Mjc=,6,ISO timestamps,9599,open,0,,,0,2020-09-01T06:16:42Z,2020-09-01T06:16:42Z,,MEMBER,,"The `time_added`, `time_updated` and `time_read` columns currently store data like this:
September 19, 2019 - 00:30:30 UTC
Should use ISO instead, e.g. `2020-07-26T01:05:24+00:00`",213286752,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
692202408,MDU6SXNzdWU2OTIyMDI0MDg=,12,Idea: maps and GeoJSON support,9599,open,0,,,0,2020-09-03T18:47:10Z,2020-09-04T01:45:03Z,,MEMBER,,"It would be cool if the `display_sql` could return a column populated with GeoJSON which would the automatically be displayed on a map in the results (or maybe default JS would look for a `class=""geojson""` element output by the `display` template) - ala https://github.com/simonw/datasette-leaflet-geojson
Then I could render workout routes on a map, or Swarm checkin points.",197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
606033104,MDU6SXNzdWU2MDYwMzMxMDQ=,12,"If less than 500MB, show size in MB not GB",9599,open,0,,,1,2020-04-24T04:35:01Z,2020-04-24T04:35:25Z,,MEMBER,,"Just saw this:
```
Uploading 0.05 GB
```",256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1618130434,I_kwDOJHON9s5gcrYC,11,Implement a SQL view to make it easier to query files in a nested folder,9599,open,0,,,3,2023-03-09T23:19:28Z,2023-03-09T23:24:01Z,,MEMBER,,"Working with nested data in SQL is tricky, can I make it easier with a view or canned query?",611552758,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/11/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
602533481,MDU6SXNzdWU2MDI1MzM0ODE=,3,"Import EXIF data into SQLite - lens used, ISO, aperture etc",9599,open,0,,5324096,2,2020-04-18T19:24:31Z,2021-10-05T12:38:24Z,,MEMBER,,,256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
612287234,MDU6SXNzdWU2MTIyODcyMzQ=,16,"Import machine-learning detected labels (dog, llama etc) from Apple Photos",9599,open,0,,,13,2020-05-05T02:45:43Z,2020-05-05T05:38:16Z,,MEMBER,,"Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database.",256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16/reactions"", ""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 1, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
602533300,MDU6SXNzdWU2MDI1MzMzMDA=,1,Import photo metadata from Apple Photos into SQLite,9599,open,0,,5324096,8,2020-04-18T19:23:26Z,2020-05-04T02:41:40Z,,MEMBER,,"Faces, albums, locations, that kind of thing.",256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
602585497,MDU6SXNzdWU2MDI1ODU0OTc=,7,Integrate image content hashing,9599,open,0,,,2,2020-04-19T00:36:58Z,2021-08-26T02:01:01Z,,MEMBER,,To spot duplicate images (where the file content differs such that the sha256 is no longer a match) it would be useful to calculate and store perceptual hashes of some sort.,256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,
836923194,MDU6SXNzdWU4MzY5MjMxOTQ=,32,JSON API for search results,9599,open,0,,,0,2021-03-20T22:21:36Z,2021-03-20T22:21:36Z,,MEMBER,,Refs https://github.com/simonw/datasette/issues/878,197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/32/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
705215230,MDU6SXNzdWU3MDUyMTUyMzA=,26,Pagination,9599,open,0,,,7,2020-09-21T00:14:37Z,2020-09-21T02:55:54Z,,MEMBER,,Useful for #16 (timeline view) since you can now filter to just the items on a specific day - but if there are more than 50 items you can't see them all.,197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/26/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1888477283,I_kwDOC8SPRc5wj-Bj,38,Run `rebuild_fts` after building the index,9599,open,0,,,0,2023-09-08T23:17:45Z,2023-09-08T23:17:45Z,,MEMBER,,"In:
- https://github.com/simonw/datasette.io/issues/152#issuecomment-1712323347
This turned out to be the fix:
```bash
dogsheep-beta index dogsheep-index.db templates/dogsheep-beta.yml
sqlite-utils rebuild-fts dogsheep-index.db
```",197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/38/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
689850810,MDU6SXNzdWU2ODk4NTA4MTA=,6,Set up a demo instance,9599,open,0,,,0,2020-09-01T06:20:24Z,2020-09-01T06:20:24Z,,MEMBER,,"Once I've got the Datasette plugin to a state where it's worth building a demo: #3
I can use data from my public https://github-to-sqlite.dogsheep.net/ demo plus the Pocket data subset I use for the demo in https://github.com/dogsheep/pocket-to-sqlite/issues/5 - I could pull in the https://dogsheep-photos.dogsheep.net/ photos data too.",197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
727848625,MDU6SXNzdWU3Mjc4NDg2MjU=,12,"Some workout columns should be float, not text",9599,open,0,,,4,2020-10-23T02:47:02Z,2022-06-23T04:35:02Z,,MEMBER,,"Columns `duration`, `totalDistance` and `totalEnergyBurned` should be converted to float.
https://github.com/dogsheep/healthkit-to-sqlite/blob/71e36e1cf034b96de2a8e6652265d782d3fdf63b/healthkit_to_sqlite/utils.py#L50-L57",197882382,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
709789634,MDU6SXNzdWU3MDk3ODk2MzQ=,27,Sort order is not persisted by facet filter links,9599,open,0,,,0,2020-09-27T18:22:07Z,2020-09-27T18:22:07Z,,MEMBER,,A link to `/-/beta?category=1×tamp__date=2018-08-01&q=swedish` should be to `/-/beta?category=1×tamp__date=2018-08-01&q=swedish&sort=newest`,197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/27/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1616429236,I_kwDOJHON9s5gWMC0,4,Support incremental updates,9599,open,0,,,2,2023-03-09T05:14:00Z,2023-03-09T18:20:56Z,,MEMBER,,"Running this script can take several hours against a large notes database.
Would be neat if it could run against just the notes that have been modified since it last ran. Could pull the max `updated` date and then keep on looping until it finds one modified before then.
Problem is I don't actually know what order it iterates over the notes in.",611552758,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/4/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
612860758,MDU6SXNzdWU2MTI4NjA3NTg=,18,Switch CI solution to GitHub Actions with a macOS runner,9599,open,0,,,1,2020-05-05T20:03:50Z,2020-05-05T23:49:18Z,,MEMBER,,Refs #17.,256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/18/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
694493566,MDU6SXNzdWU2OTQ0OTM1NjY=,16,Timeline view,9599,open,0,,,3,2020-09-06T19:13:58Z,2020-09-21T02:42:29Z,,MEMBER,,Ability to browse (and facet) by date.,197431109,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/16/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
615626118,MDU6SXNzdWU2MTU2MjYxMTg=,22,Try out ExifReader,9599,open,0,,,4,2020-05-11T06:32:13Z,2020-05-14T05:59:53Z,,MEMBER,,"https://pypi.org/project/ExifReader/
New fork that should be able to handle EXIF in HEIC files.
Forked here: https://github.com/ianare/exif-py/issues/102#issuecomment-626376522
Refs #3 ",256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
821841046,MDU6SXNzdWU4MjE4NDEwNDY=,6,Upgrade to latest sqlite-utils,9599,open,0,,,1,2021-03-04T07:21:54Z,2021-03-04T07:22:51Z,,MEMBER,,This is pinned to v1 at the moment.,206649770,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
952189173,MDU6SXNzdWU5NTIxODkxNzM=,3,Use HN algolia endpoint to retrieve trees,9599,open,0,,,3,2021-07-25T03:35:27Z,2021-07-25T18:41:17Z,,MEMBER,,"The `trees` command currently has to make a request for every single comment. Algolia have an endpoint that bundles the entire thread together into a single request.
`https://hn.algolia.com/api/v1/items/ID`
Here's an example that loads quickly, with about 50 comments: https://hn.algolia.com/api/v1/items/27941108
It doesn't appear to use pagination at all - if a thread is big then the response is big.
I ran this search to find some stories with more than 1000 comments: https://hn.algolia.com/api/v1/search?tags=story&numericFilters=num_comments%3E=1000
Here's one: https://news.ycombinator.com/item?id=25015967 with 4759 comments. Hitting the API takes 41s and returns 3.7 MB of JSON!
```
wget 'https://hn.algolia.com/api/v1/items/25015967' 0.03s user 0.04s system 0% cpu 41.368 total
/tmp % ls -lah 25015967
-rw-r--r-- 1 simon wheel 3.7M Jul 24 20:31 25015967
```",248903544,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
602619330,MDU6SXNzdWU2MDI2MTkzMzA=,45,Use raise_for_status() everywhere,9599,open,0,,,1,2020-04-19T04:38:28Z,2020-04-19T04:39:22Z,,MEMBER,,"I keep seeing errors which I think are caused by authentication or rate limit problems but which appear to be unexpected JSON responses - presumably because they are actually an error message.
Recent example: https://github.com/simonw/jsk-fellows-on-twitter/runs/598892575
Using `response.raise_for_status()` everywhere will make these errors less confusing.",206156866,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/45/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
1071071397,I_kwDODFdgUs4_10Cl,69,View that combines issues and issue comments,9599,open,0,,,1,2021-12-04T00:34:33Z,2021-12-04T00:34:52Z,,MEMBER,,I want to see a reverse chronologically ordered interface onto both issues and comments - essentially a unified log of comments and issues opened across one or multiple projects.,207052882,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/69/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
488874815,MDU6SXNzdWU0ODg4NzQ4MTU=,5,Write tests that simulate the Twitter API,9599,open,0,,,1,2019-09-03T23:55:35Z,2019-09-03T23:56:28Z,,MEMBER,,I can use betamax for this: https://pypi.org/project/betamax/,206156866,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
703246031,MDU6SXNzdWU3MDMyNDYwMzE=,51,github-to-sqlite should handle rate limits better,9599,open,0,,,4,2020-09-17T04:01:50Z,2022-10-14T16:34:07Z,,MEMBER,,From #50 - right now it will crash with an error of it hits the rate limit. Since the rate limit information (including reset time) is available in the headers it could automatically sleep and try again instead.,207052882,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/51/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,
621486115,MDU6SXNzdWU2MjE0ODYxMTU=,27,photos_with_apple_metadata view should include labels,9599,open,0,,,0,2020-05-20T06:06:17Z,2020-05-20T06:06:17Z,,MEMBER,,"https://dogsheep-photos.dogsheep.net/public/photos_with_apple_metadata?place_city=New+Orleans&_facet=place_city&_facet_array=albums&_facet_array=persons
Here's one way to add that:
```sql
select
rowid,
photo,
(
select
json_group_array(
json_object(
'label',
normalized_string,
'href',
'/photos/labelled?_hide_sql=1&label=' || normalized_string
)
)
from
labels
where
labels.uuid = photos_with_apple_metadata.uuid
) as labels,
date,
```",256834907,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/27/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,