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1125297737 | I_kwDOCGYnMM5DEq5J | 402 | Advanced class-based `conversions=` mechanism | 9599 | open | 0 | 14 | 2022-02-06T19:47:41Z | 2022-02-16T10:18:55Z | OWNER | The `conversions=` parameter works like this at the moment: https://sqlite-utils.datasette.io/en/3.23/python-api.html#converting-column-values-using-sql-functions ```python db["places"].insert( {"name": "Wales", "geometry": wkt}, conversions={"geometry": "GeomFromText(?, 4326)"}, ) ``` This proposal is to support values in that dictionary that are objects, not strings, which can represent more complex conversions - spun out from #399. New proposed mechanism: ```python from sqlite_utils.utils import LongitudeLatitude db["places"].insert( { "name": "London", "point": (-0.118092, 51.509865) }, conversions={"point": LongitudeLatitude}, ) ``` Here `LongitudeLatitude` is a magical value which does TWO things: it sets up the `GeomFromText(?, 4326)` SQL function, and it handles converting the `(51.509865, -0.118092)` tuple into a `POINT({} {})` string. This would involve a change to the `conversions=` contract - where it usually expects a SQL string fragment, but it can also take an object which combines that SQL string fragment with a Python conversion function. Best of all... this resolves the `lat, lon` v.s. `lon, lat` dilemma because you can use `from sqlite_utils.utils import LongitudeLatitude` OR `from sqlite_utils.utils import LatitudeLongitude` depending on which you prefer! _Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030739566_ | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/402/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1128139375 | I_kwDOCGYnMM5DPgpv | 405 | `Database(memory_name="name")` constructor argument | 9599 | closed | 0 | 2 | 2022-02-09T07:15:03Z | 2022-02-16T01:23:16Z | 2022-02-16T01:23:16Z | OWNER | SQLite in-memory databases can be named, in which case multiple connections can be opened to a shared in-memory database running within the same process. Datasette supports this - SQLite could support it too. https://docs.datasette.io/en/0.60.2/internals.html#database-ds-path-none-is-mutable-false-is-memory-false-memory-name-none | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/405/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1124237013 | I_kwDOCGYnMM5DAn7V | 398 | Add SpatiaLite helpers to CLI | 25778 | closed | 0 | 9 | 2022-02-04T14:01:28Z | 2022-02-16T01:02:29Z | 2022-02-16T00:58:07Z | CONTRIBUTOR | Now that #385 is merged, add CLI versions of those methods. ```sh # init spatialite sqlite-utils init-spatialite database.db # or maybe/also sqlite-utils create database.db --enable-wal --spatialite # add geometry columns # needs a database, table, geometry column name, type, with optional SRID and not-null # this needs to create a table if it doesn't already exist sqlite-utils add-geometry-column database.db table-name geometry --srid 4326 --not-null # spatial index an existing table/column sqlite-utils create-spatial-index database.db table-name geometry ``` Should be mostly straightforward. The one thing worth highlighting in docs is that geometry columns can only be added to existing tables. Trying to add a geometry column to a table that doesn't exist yet might mean you have a schema like `{"rowid": int, "geometry": bytes}`. Might be worth nudging people to explicitly create a table first, then add geometry columns. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/398/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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