Files
nixpkgs/pkgs/servers/sql/postgresql/ext/pointcloud/package.nix
T
2025-10-28 10:10:55 +01:00

125 lines
3.5 KiB
Nix
Raw Blame History

This file contains invisible Unicode characters
This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
{
autoconf,
automake,
cunit,
fetchFromGitHub,
fetchpatch,
installShellFiles,
lib,
libtool,
libxml2,
perl,
postgresql,
postgresqlBuildExtension,
postgresqlTestExtension,
postgresqlTestHook,
sphinx,
which,
zlib,
}:
postgresqlBuildExtension (finalAttrs: {
pname = "pointcloud";
version = "1.2.5";
outputs = [
"out"
"man"
];
src = fetchFromGitHub {
owner = "pgpointcloud";
repo = "pointcloud";
tag = "v${finalAttrs.version}";
hash = "sha256-uFbScxq21kt0jOjjyfMeO3i+bG2/kWS/Rrt3ZpOqEns=";
};
nativeBuildInputs = [
autoconf
automake
installShellFiles
libtool
perl
# for doc
sphinx
# needed by the configure phase
which
];
buildInputs = [
zlib
];
doCheck = !(postgresqlTestHook.meta.broken);
checkInputs = [
cunit
];
nativeCheckInputs = [
postgresql
postgresqlTestHook
];
preConfigure = ''
./autogen.sh
'';
configureFlags = [
(lib.withFeatureAs true "xml2config" (lib.getExe' (lib.getDev libxml2) "xml2-config"))
];
postInstall = ''
cd doc
make man
installManPage build/man/pgpointcloud.1
'';
passthru.tests = {
extension = postgresqlTestExtension {
inherit (finalAttrs) finalPackage;
# see https://pgpointcloud.github.io/pointcloud/concepts/schemas.html
withPackages = [ "postgis" ];
sql = builtins.readFile ./tests.sql;
asserts = [
{
query = "pc_version()";
expected = "'${lib.versions.major finalAttrs.version}.${lib.versions.minor finalAttrs.version}.${lib.versions.patch finalAttrs.version}'";
description = "pc_version() returns correct values.";
}
{
query = "pc_postgis_version()";
expected = "'${lib.versions.major finalAttrs.version}.${lib.versions.minor finalAttrs.version}.${lib.versions.patch finalAttrs.version}'";
description = "pc_postgis_version() returns correct values.";
}
# these tests are taken from the documentation of respective methods
{
query = "SELECT PC_AsText('010100000064CEFFFF94110000703000000400'::pcpoint)";
expected = "'{\"pcid\":1,\"pt\":[-127,45,124,4]}'";
description = "Creating a point and displaying as text returns correct string";
}
{
query = "SELECT ST_AsText(PC_MakePoint(1, ARRAY[-127, 45, 124.0, 4.0])::geometry)";
expected = "'POINT Z (-127 45 124)'";
description = "Casting a pcpoint to a postgis geometry works";
}
];
};
};
meta = {
description = "PostgreSQL extension for storing point cloud (LIDAR) data";
longDescription = ''
# pgPointcloud - A PostgreSQL extension for storing point cloud (LIDAR) data.
LIDAR point cloud are becoming more and more available. Devices are easy to get, not too expensive, and provide very accurate 3D points. pgPointCLoud is an open source PostgreSQL extension for storing point cloud data and use it with PostGIS. It is very easy to use, robust and efficient.
By storing LIDAR points in a PostgreSQL database, pgPointcloud eases many problems and allows a good integration with other geo-spatial data (vector, raster) into one common framework : PostGIS.
'';
homepage = "https://pgpointcloud.github.io/pointcloud/";
changelog = "https://github.com/pgpointcloud/pointcloud/blob/v${finalAttrs.version}/NEWS";
license = lib.licenses.bsd3;
teams = [ lib.teams.geospatial ];
inherit (postgresql.meta) platforms;
};
})