updated

backend/build_deb.sh

@@ -22,6 +22,7 @@ DESCRIPTION_LONG="${DEB_DESCRIPTION_LONG:-${DESCRIPTION_LONG:-}}"
 OUT_DIR="$SCRIPT_DIR/dist"
 BIN_PATH="$OUT_DIR/nsfwapp-linux-amd64"
 OUT_FILE="$OUT_DIR/${PACKAGE_NAME}_${ARCH}.deb"
+ML_REQUIREMENTS_PATH="$SCRIPT_DIR/ml/requirements-ml.txt"
 CLEAN_BUILD_DIR=0
 
 if [ -n "${DEB_BUILD_DIR:-}" ]; then
@@ -58,6 +59,7 @@ fail() {
 [ -n "$DESCRIPTION_LONG" ] || fail "DESCRIPTION_LONG fehlt im Build-Manifest."
 
 command -v dpkg-deb >/dev/null 2>&1 || fail "dpkg-deb fehlt. Installiere es mit: sudo apt install -y dpkg-dev"
+[ -f "$ML_REQUIREMENTS_PATH" ] || fail "ML-Requirements nicht gefunden: $ML_REQUIREMENTS_PATH"
 
 mkdir -p "$OUT_DIR"
 
@@ -88,6 +90,7 @@ mkdir -p \
 chmod 0755 "$PKG_ROOT" "$PKG_ROOT/DEBIAN"
 
 install -m 0755 "$BIN_PATH" "$PKG_ROOT/opt/nsfwapp/nsfwapp"
+install -m 0644 "$ML_REQUIREMENTS_PATH" "$PKG_ROOT/opt/nsfwapp/requirements-ml.txt"
 if [ -f "$SCRIPT_DIR/assets/img/tray.ico" ]; then
 	install -m 0644 "$SCRIPT_DIR/assets/img/tray.ico" "$PKG_ROOT/usr/share/pixmaps/nsfwapp.ico"
 fi
@@ -109,6 +112,59 @@ if [ ! -f "$runtime_bin" ] || ! cmp -s "$install_dir/nsfwapp" "$runtime_bin"; th
 	mv "$tmp" "$runtime_bin"
 fi
 
+setup_ml_python() {
+	if [ "${NSFWAPP_SKIP_ML_SETUP:-0}" = "1" ]; then
+		return 0
+	fi
+	if [ -n "${AI_SERVER_PYTHON:-}" ]; then
+		return 0
+	fi
+
+	requirements_file="$install_dir/requirements-ml.txt"
+	if [ ! -f "$requirements_file" ]; then
+		return 0
+	fi
+
+	venv_dir="${NSFWAPP_ML_VENV:-$app_dir/ml-venv}"
+	venv_python="$venv_dir/bin/python"
+	requirements_marker="$venv_dir/.requirements-ml.txt"
+	setup_log="$app_dir/ml-setup.log"
+
+	if [ ! -x "$venv_python" ]; then
+		echo "Erstelle Python-ML-Umgebung: $venv_dir" >&2
+		if ! python3 -m venv "$venv_dir" >>"$setup_log" 2>&1; then
+			return 1
+		fi
+	fi
+
+	if [ ! -f "$requirements_marker" ] || ! cmp -s "$requirements_file" "$requirements_marker"; then
+		echo "Installiere Python-ML-Pakete. Details: $setup_log" >&2
+		if command -v notify-send >/dev/null 2>&1; then
+			notify-send "NSFW App" "ML-Python-Pakete werden installiert. Das kann beim ersten Start dauern." || true
+		fi
+		if ! "$venv_python" -m pip install --upgrade pip >>"$setup_log" 2>&1; then
+			return 1
+		fi
+		if ! "$venv_python" -m pip install -r "$requirements_file" >>"$setup_log" 2>&1; then
+			return 1
+		fi
+		if ! cp "$requirements_file" "$requirements_marker"; then
+			return 1
+		fi
+	fi
+
+	AI_SERVER_PYTHON="$venv_python"
+	export AI_SERVER_PYTHON
+	return 0
+}
+
+if ! setup_ml_python; then
+	echo "Warnung: ML-Python-Umgebung konnte nicht vorbereitet werden. Details: $app_dir/ml-setup.log" >&2
+	if command -v notify-send >/dev/null 2>&1; then
+		notify-send "NSFW App" "ML-Python-Umgebung konnte nicht vorbereitet werden. Siehe ml-setup.log." || true
+	fi
+fi
+
 cd "$app_dir"
 exec "$runtime_bin" "$@"
 EOF
@@ -262,7 +318,9 @@ User-Daten:
 Wichtige Laufzeitprogramme:
   ffmpeg/ffprobe muessen fuer Recording, Teaser, Analyse und Videofunktionen verfuegbar sein.
   SQLite ist die Standard-Datenbank. pg_dump/pg_restore werden nur fuer Postgres-Backup und Restore benoetigt.
-  Der AI-Server braucht Python und die benoetigten Python-Pakete deiner ML-Umgebung.
+  Der Launcher erstellt beim ersten Start automatisch ${NSFWAPP_HOME:-$HOME/nsfwapp}/ml-venv
+  und installiert die mitgelieferte requirements-ml.txt. Details stehen in ml-setup.log.
+  Setze AI_SERVER_PYTHON, wenn du eine eigene Python-Umgebung verwenden willst.
 EOF
 
 cat >"$PKG_ROOT/DEBIAN/control" <<EOF
@@ -272,7 +330,7 @@ Section: $SECTION
 Priority: $PRIORITY
 Architecture: $ARCH
 Maintainer: $MAINTAINER
-Depends: ca-certificates, ffmpeg, python3, xdg-utils, libnotify-bin, procps
+Depends: ca-certificates, ffmpeg, python3, python3-venv, xdg-utils, libnotify-bin, procps
 Description: $DESCRIPTION_SHORT
  $DESCRIPTION_LONG
 EOF

backend/build_manifest.env

@@ -1,7 +1,7 @@
 # Build and Debian package metadata.
 PACKAGE_NAME="nsfwapp"
 APP_TITLE="NSFW App"
-VERSION="1.2.0"
+VERSION="1.2.1"
 ARCH="amd64"
 SECTION="video"
 PRIORITY="optional"