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{ pkgs, lib, stdenv, fetchFromGitHub, fetchzip, darktable, rawtherapee, ffmpeg, libheif, exiftool, makeWrapper, testers }:
let
version = "221118-e58fee0fb";
pname = "photoprism";
src = fetchFromGitHub {
owner = pname;
repo = pname;
rev = version;
sha256 = "sha256-Bx9SJLK97uZ/k09LIj8dHwmRetg6krI5iO7mtojV3PU=";
};
libtensorflow = pkgs.callPackage ./libtensorflow.nix { };
backend = pkgs.callPackage ./backend.nix { inherit libtensorflow src version; };
frontend = pkgs.callPackage ./frontend.nix { inherit src version; };
fetchModel = { name, sha256 }:
fetchzip {
inherit sha256;
url = "https://dl.photoprism.org/tensorflow/${name}.zip";
stripRoot = false;
};
facenet = fetchModel {
name = "facenet";
sha256 = "sha256-aS5kkNhxOLSLTH/ipxg7NAa1w9X8iiG78jmloR1hpRo=";
};
nasnet = fetchModel {
name = "nasnet";
sha256 = "sha256-bF25jPmZLyeSWy/CGXZE/VE2UupEG2q9Jmr0+1rUYWE=";
};
nsfw = fetchModel {
name = "nsfw";
sha256 = "sha256-zy/HcmgaHOY7FfJUY6I/yjjsMPHR2Ote9ppwqemBlfg=";
};
assets_path = "$out/share/${pname}";
in
stdenv.mkDerivation {
inherit pname version;
nativeBuildInputs = [
makeWrapper
];
dontUnpack = true;
dontBuild = true;
installPhase = ''
runHook preInstall
mkdir -p $out/bin ${assets_path}
# install backend
ln -s ${backend}/bin/photoprism $out/bin/photoprism
wrapProgram $out/bin/photoprism \
--set PHOTOPRISM_ASSETS_PATH ${assets_path} \
--set PHOTOPRISM_DARKTABLE_BIN ${darktable}/bin/darktable-cli \
--set PHOTOPRISM_RAWTHERAPEE_BIN ${rawtherapee}/bin/rawtherapee-cli \
--set PHOTOPRISM_HEIFCONVERT_BIN ${libheif}/bin/heif-convert \
--set PHOTOPRISM_FFMPEG_BIN ${ffmpeg}/bin/ffmpeg \
--set PHOTOPRISM_EXIFTOOL_BIN ${exiftool}/bin/exiftool
# install frontend
ln -s ${frontend}/assets/* ${assets_path}
# install tensorflow models
ln -s ${nasnet}/nasnet ${assets_path}
ln -s ${nsfw}/nsfw ${assets_path}
ln -s ${facenet}/facenet ${assets_path}
runHook postInstall
'';
passthru.tests.version = testers.testVersion { package = pkgs.photoprism; };
meta = with lib; {
homepage = "https://photoprism.app";
description = "Personal Photo Management powered by Go and Google TensorFlow";
inherit (libtensorflow.meta) platforms;
license = licenses.agpl3Only;
maintainers = with maintainers; [ benesim ];
};
}
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