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  • eyeseast · 4 ✖

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  • Make it easier to insert geometries, with documentation and maybe code · 4 ✖

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  • CONTRIBUTOR · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1077671779 https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1077671779 https://api.github.com/repos/simonw/sqlite-utils/issues/399 IC_kwDOCGYnMM5AO_dj eyeseast 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.

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.

 
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 Make it easier to insert geometries, with documentation and maybe code 1124731464  
1030741289 https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030741289 https://api.github.com/repos/simonw/sqlite-utils/issues/399 IC_kwDOCGYnMM49b90p eyeseast 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.

 
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 Make it easier to insert geometries, with documentation and maybe code 1124731464  
1030740826 https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030740826 https://api.github.com/repos/simonw/sqlite-utils/issues/399 IC_kwDOCGYnMM49b9ta eyeseast 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.

 
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 Make it easier to insert geometries, with documentation and maybe code 1124731464  
1030740653 https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030740653 https://api.github.com/repos/simonw/sqlite-utils/issues/399 IC_kwDOCGYnMM49b9qt eyeseast 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.

 
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 Make it easier to insert geometries, with documentation and maybe code 1124731464  

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