html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app
https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1077671779,https://api.github.com/repos/simonw/sqlite-utils/issues/399,1077671779,IC_kwDOCGYnMM5AO_dj,25778,2022-03-24T14:11:33Z,2022-03-24T14:11:43Z,CONTRIBUTOR,"Coming back to this. I was about to add a utility function to [datasette-geojson]() to convert lat/lng columns to geometries. Thankfully I googled first. There's a SpatiaLite function for this: [MakePoint](https://www.gaia-gis.it/gaia-sins/spatialite-sql-latest.html#p0).

```sql
select MakePoint(longitude, latitude) as geometry from places;
```

I'm not sure if that would work with `conversions`, since it needs two columns, but it's an option for tables that already have latitude, longitude columns.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1124731464,
https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030741289,https://api.github.com/repos/simonw/sqlite-utils/issues/399,1030741289,IC_kwDOCGYnMM49b90p,25778,2022-02-06T03:03:43Z,2022-02-06T03:03:43Z,CONTRIBUTOR,"> I wonder if there are any interesting non-geospatial canned conversions that it would be worth including?

Off the top of my head:

- Un-nesting JSON objects into columns
- Splitting arrays
- Normalizing dates and times
- URL munging with `urlparse`
- Converting strings to numbers

Some of this is easy enough with SQL functions, some is easier in Python. Maybe that's where having pre-built classes gets really handy, because it saves you from thinking about which way it's implemented.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1124731464,
https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030740826,https://api.github.com/repos/simonw/sqlite-utils/issues/399,1030740826,IC_kwDOCGYnMM49b9ta,25778,2022-02-06T02:59:10Z,2022-02-06T02:59:10Z,CONTRIBUTOR,"All this said, I don't think it's unreasonable to point people to dedicated tools like `geojson-to-sqlite`. If I'm dealing with a bunch of GeoJSON or Shapefiles, I need to something to read those anyway (or I need to figure out virtual tables). But something like this might make it easier to build those libraries, or standardize the underlying parts.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1124731464,
https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030740653,https://api.github.com/repos/simonw/sqlite-utils/issues/399,1030740653,IC_kwDOCGYnMM49b9qt,25778,2022-02-06T02:57:17Z,2022-02-06T02:57:17Z,CONTRIBUTOR,"I like the idea of having stock conversions you could import. I'd actually move them to a dedicated module (call it `sqlite_utils.conversions` or something), because it's different from other utilities. Maybe they even take configuration, or they're composable.

```python
from sqlite_utils.conversions import LongitudeLatitude

db[""places""].insert(
    {
        ""name"": ""London"",
        ""lng"": -0.118092,
        ""lat"": 51.509865,
    },
    conversions={""point"": LongitudeLatitude(""lng"", ""lat"")},
)
```

I would definitely use that for every CSV I get with lat/lng columns where I actually need GeoJSON.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1124731464,