74 lines
1.8 KiB
Nix
74 lines
1.8 KiB
Nix
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{ lib
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, stdenv
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, cmake
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, fetchFromGitHub
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, openssl
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, postgresql
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, postgresqlTestExtension
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}:
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stdenv.mkDerivation (finalAttrs: {
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pname = "postgresql-lantern";
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version = "0.4.1";
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src = fetchFromGitHub {
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owner = "lanterndata";
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repo = "lantern";
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rev = "v${finalAttrs.version}";
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hash = "sha256-V8W61hELXeaVvNZgRUcckFlCMWis7NENlRKySxsK/L8=";
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fetchSubmodules = true;
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};
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postPatch = ''
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patchShebangs --build lantern_hnsw/scripts/link_llvm_objects.sh
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'';
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nativeBuildInputs = [
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cmake
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];
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buildInputs = [
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openssl
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postgresql
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];
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installPhase = ''
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runHook preInstall
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install -D -t $out/lib lantern${postgresql.dlSuffix}
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install -D -t $out/share/postgresql/extension lantern-*.sql
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install -D -t $out/share/postgresql/extension lantern.control
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runHook postInstall
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'';
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cmakeFlags = [
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"-DBUILD_FOR_DISTRIBUTING=ON"
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"-S ../lantern_hnsw"
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];
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passthru.tests.extension = postgresqlTestExtension {
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inherit (finalAttrs) finalPackage;
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sql = ''
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CREATE EXTENSION lantern;
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CREATE TABLE small_world (id integer, vector real[3]);
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INSERT INTO small_world (id, vector) VALUES (0, '{0,0,0}'), (1, '{0,0,1}');
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CREATE INDEX ON small_world USING lantern_hnsw (vector dist_l2sq_ops)
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WITH (M=2, ef_construction=10, ef=4, dim=3);
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'';
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};
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meta = with lib; {
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description = "PostgreSQL vector database extension for building AI applications";
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homepage = "https://lantern.dev/";
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changelog = "https://github.com/lanterndata/lantern/blob/${finalAttrs.src.rev}/CHANGELOG.md";
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license = licenses.bsl11;
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maintainers = [ ];
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platforms = postgresql.meta.platforms;
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# error: use of undeclared identifier 'aligned_alloc'
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broken = stdenv.hostPlatform.isDarwin && lib.versionOlder stdenv.hostPlatform.darwinMinVersion "10.13";
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};
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})
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