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visagevault.py
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7246 lines (5904 loc) · 297 KB
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# ==============================================================================
# PROYECTO: VisageVault - Gestor de Fotografías Inteligente
# VERSIÓN: 1.6.16
# DERECHOS DE AUTOR: © 2025 Daniel Serrano Armenta
# ==============================================================================
#
# Autor: Daniel Serrano Armenta
# Contacto: anabasasoft@gmail.com
# GitHub: github.com/anabasasoft
# Portafolio: https://danitxu79.github.io/
#
# ## 📜 Licencia
#
# Este proyecto se ofrece bajo un modelo de **Doble Licencia (Dual License)**:
#
# 1. **LGPLv3:** Ideal para proyectos de código abierto. Si usas esta biblioteca (especialmente
# si la modificas), debes cumplir con las obligaciones de la LGPLv3.
# 2. **Comercial (Privativa):** Si los términos de la LGPLv3 no se ajustan a tus necesidades
# (por ejemplo, para software propietario de código cerrado), por favor contacta al autor para
# adquirir una licencia comercial.
#
# Para más detalles, consulta el archivo `LICENSE` o la cabecera de `visagevault.py`.
#
#
# ==============================================================================
import sys
import os
from pathlib import Path
import datetime
import locale
import warnings
import sqlite3
import time
import threading # Necesario para evitar que la UI se congele
from drive_auth import DriveAuthenticator
import requests # Para bajar thumbnails
from drive_manager import DriveManager
import config_manager # Para guardar la carpeta elegida
# --- Silenciar solo el aviso de pkg_resources ---
warnings.filterwarnings(
"ignore",
message=r"pkg_resources is deprecated as an API",
category=UserWarning,
)
import numpy as np
from sklearn.cluster import DBSCAN
import sklearn
import rawpy # Importar rawpy para soporte RAW
import cv2
from PySide6.QtWidgets import (
QDialog, QTableWidget, QTableWidgetItem,
QAbstractItemView, QHeaderView, QDialogButtonBox, QTreeWidget, QTreeWidgetItem,
QComboBox, QMenu, QListWidget, QListWidgetItem, QFrame, QMessageBox
)
from PySide6.QtWidgets import (
QApplication, QMainWindow, QWidget, QVBoxLayout, QHBoxLayout,
QPushButton, QLineEdit, QStyle, QFileDialog,
QScrollArea, QGridLayout, QLabel, QGroupBox, QSpacerItem, QSizePolicy,
QSplitter, QTabWidget, QStackedWidget, QSplashScreen
)
from PySide6.QtCore import (
Qt, QSize, QObject, Signal, QThread, Slot, QTimer,
QRunnable, QThreadPool, QPropertyAnimation, QEasingCurve, QRect, QPoint, QRectF,
QPointF, QBuffer, QIODevice, QUrl, QEventLoop, QEvent
)
from PySide6.QtGui import (
QPixmap, QIcon, QCursor, QTransform, QPainter, QPaintEvent,
QPainterPath, QKeyEvent, QDesktopServices, QImage, QColor, QPen, QBrush
)
# --- MODIFICADO: Importar las funciones de foto Y vídeo ---
from photo_finder import find_photos, find_videos
import config_manager
from metadata_reader import get_photo_date, get_video_date
from thumbnail_generator import (
generate_image_thumbnail, generate_video_thumbnail, THUMBNAIL_SIZE
)
# --- FIN DE MODIFICACIÓN ---
import metadata_reader
import piexif.helper
import re
import db_manager
from db_manager import VisageVaultDB
import face_recognition
from PIL import Image
import ast
from concurrent.futures import ThreadPoolExecutor, as_completed
import pickle
import shutil
import hashlib
from functools import lru_cache
# =================================================================
# EXTRACTOR DE FECHA POR NOMBRE DE ARCHIVO
# =================================================================
def parse_date_from_filename(filepath):
"""
Intenta extraer la fecha (Año, Mes) basándose exclusivamente en el nombre del archivo.
Soporta: YYYYMMDD, DD-MM-YYYY, YYYY-MM-DD, DDMMYYYY.
"""
filename = os.path.basename(filepath)
# 1. Patrón YYYYMMDD (Ej: IMG-20250304-..., VID-20240411..., 20231005.jpg)
# Busca 20xx seguido de mes (01-12) y día (01-31)
match = re.search(r'(20\d{2})(0[1-9]|1[0-2])(0[1-9]|[12]\d|3[01])', filename)
if match:
return match.group(1), match.group(2) # Retorna (Año, Mes)
# 2. Patrón DD-MM-YYYY o DD.MM.YYYY o DD_MM_YYYY (Ej: 07-10-2023.jpg)
match = re.search(r'(0[1-9]|[12]\d|3[01])[-._](0[1-9]|1[0-2])[-._](20\d{2})', filename)
if match:
return match.group(3), match.group(2) # Retorna (Año, Mes)
# 3. Patrón YYYY-MM-DD (Ej: 2023-11-01_Foto.jpg)
match = re.search(r'(20\d{2})[-._](0[1-9]|1[0-2])[-._](0[1-9]|[12]\d|3[01])', filename)
if match:
return match.group(1), match.group(2)
# 4. Patrón DDMMYYYY Compacto (Ej: IMG-04122021.jpg -> 04/12/2021)
# Asume formato europeo DDMMYYYY si no hay separadores
match = re.search(r'(0[1-9]|[12]\d|3[01])(0[1-9]|1[0-2])(20\d{2})', filename)
if match:
return match.group(3), match.group(2)
return None, None
# --- FUNCIÓN GLOBAL DE CACHÉ EN RAM ---
# Guarda las últimas 500 imágenes en memoria para que el scroll sea instantáneo
@lru_cache(maxsize=500)
def get_cached_pixmap(filepath: str) -> QPixmap:
if os.path.exists(filepath) and os.path.getsize(filepath) > 0:
return QPixmap(filepath)
return QPixmap()
def resource_path(relative_path):
"""Obtiene la ruta absoluta al recurso tanto en PyInstaller como en desarrollo."""
if hasattr(sys, '_MEIPASS'):
base_path = sys._MEIPASS
else:
base_path = os.path.dirname(os.path.abspath(__file__))
return os.path.join(base_path, relative_path)
# --- Configuración regional para nombres de meses ---
try:
locale.setlocale(locale.LC_TIME, '')
except locale.Error:
print("Warning: Could not set system locale, month names may be in English.")
# Constante para el margen de precarga (en píxeles)
PRELOAD_MARGIN_PX = 500
# =================================================================
# DEFINICIÓN ÚNICA DE SEÑALES PARA EL THUMBNAILLOADER
# =================================================================
class ThumbnailLoaderSignals(QObject):
"""Contenedor de señales para la clase QRunnable."""
thumbnail_loaded = Signal(str, QPixmap) # original_path, pixmap
load_failed = Signal(str)
# =================================================================
# CLASE PARA CARGAR MINIATURAS DE IMAGEN (QRunnable)
# =================================================================
class ThumbnailLoader(QRunnable):
def __init__(self, original_filepath: str, signals: ThumbnailLoaderSignals):
super().__init__()
self.original_filepath = original_filepath
self.signals = signals
@Slot()
def run(self):
# 1. Generar si no existe (esto escribe en disco)
thumbnail_path = generate_image_thumbnail(self.original_filepath)
if thumbnail_path:
try:
# 2. Cargar usando CACHÉ DE RAM (¡Mucho más rápido!)
pixmap = get_cached_pixmap(thumbnail_path)
if not pixmap.isNull():
self.signals.thumbnail_loaded.emit(self.original_filepath, pixmap)
else:
self.signals.load_failed.emit(self.original_filepath)
except Exception:
self.signals.load_failed.emit(self.original_filepath)
else:
self.signals.load_failed.emit(self.original_filepath)
# =================================================================
# CLASE PARA CARGAR MINIATURAS DE VÍDEO (QRunnable) - ¡NUEVA!
# =================================================================
class VideoThumbnailLoader(QRunnable):
def __init__(self, original_filepath: str, signals: ThumbnailLoaderSignals):
super().__init__()
self.original_filepath = original_filepath
self.signals = signals
@Slot()
def run(self):
thumbnail_path = generate_video_thumbnail(self.original_filepath)
if thumbnail_path:
try:
# Usar Caché RAM
pixmap = get_cached_pixmap(thumbnail_path)
if not pixmap.isNull():
self.signals.thumbnail_loaded.emit(self.original_filepath, pixmap)
else:
self.signals.load_failed.emit(self.original_filepath)
except Exception:
self.signals.load_failed.emit(self.original_filepath)
else:
self.signals.load_failed.emit(self.original_filepath)
# =================================================================
# CLASE: NetworkThumbnailLoader (CON CACHÉ EN DISCO)
# =================================================================
class NetworkThumbnailLoader(QRunnable):
def __init__(self, url, file_id, signals):
super().__init__()
self.url = url
self.file_id = file_id
self.signals = signals
base_dir = os.path.dirname(os.path.abspath(__file__))
self.cache_dir = os.path.join(base_dir, "visagevault_cache", "drive_snapshot_cache")
if not os.path.exists(self.cache_dir):
try: os.makedirs(self.cache_dir)
except: pass
@Slot()
def run(self):
cache_path = os.path.join(self.cache_dir, f"{self.file_id}.jpg")
# 1. INTENTO CACHÉ DISCO + RAM
if os.path.exists(cache_path) and os.path.getsize(cache_path) > 0:
pixmap = get_cached_pixmap(cache_path) # <--- RAM CACHE
if not pixmap.isNull():
self.signals.thumbnail_loaded.emit(self.file_id, pixmap)
return
# 2. DESCARGA
if not self.url: return
try:
response = requests.get(self.url, timeout=10)
if response.status_code == 200:
with open(cache_path, 'wb') as f:
f.write(response.content)
# Cargar en memoria y cachear
pixmap = get_cached_pixmap(cache_path) # <--- Se guarda en LRU Cache al leer
if not pixmap.isNull():
self.signals.thumbnail_loaded.emit(self.file_id, pixmap)
except Exception:
pass
class DriveFolderDialog(QDialog):
def __init__(self, drive_manager, parent=None):
super().__init__(parent)
self.setWindowTitle("Navegador de Google Drive")
self.resize(600, 450)
self.drive = drive_manager
# Estado de navegación
self.current_folder_id = None
self.current_folder_name = None
self.folder_history = []
self.selected_folder_id = None
self.selected_folder_name = None
layout = QVBoxLayout(self)
# 1. Cabecera con Ruta
self.path_label = QLabel("Inicio")
self.path_label.setStyleSheet("font-weight: bold; color: #3daee9; font-size: 14px; padding: 5px;")
layout.addWidget(self.path_label)
# --- NUEVO: AVISO INFORMATIVO ---
info_layout = QHBoxLayout()
info_icon = QLabel("ℹ️")
info_text = QLabel("Esta lista <b>SOLO muestra carpetas</b>. Tus fotos no aparecerán aquí, pero se escanearán al pulsar 'Seleccionar'.")
info_text.setWordWrap(True)
info_text.setStyleSheet("color: gray; font-size: 11px;")
info_layout.addWidget(info_icon)
info_layout.addWidget(info_text, 1)
layout.addLayout(info_layout)
# --------------------------------
# 2. Lista
self.list_widget = QListWidget()
self.list_widget.setIconSize(QSize(32, 32))
self.list_widget.itemDoubleClicked.connect(self._on_item_double_clicked)
layout.addWidget(self.list_widget)
# 3. Botones
btn_layout = QHBoxLayout()
self.btn_select = QPushButton("Seleccionar esta carpeta")
self.btn_select.setEnabled(False)
self.btn_select.setStyleSheet("""
QPushButton { background-color: #3daee9; color: white; font-weight: bold; padding: 10px; border-radius: 4px;}
QPushButton:hover { background-color: #4dbef9; }
QPushButton:disabled { background-color: #cccccc; }
""")
self.btn_select.clicked.connect(self._select_current)
self.btn_cancel = QPushButton("Cancelar")
self.btn_cancel.clicked.connect(self.reject)
btn_layout.addWidget(self.btn_select)
btn_layout.addWidget(self.btn_cancel)
layout.addLayout(btn_layout)
# CARGAR MENÚ INICIAL
self._load_home_menu()
def _load_home_menu(self):
self.list_widget.clear()
self.current_folder_id = "HOME"
self.current_folder_name = "Inicio"
self.path_label.setText("🏠 Inicio")
self.btn_select.setText("Selecciona una opción...")
self.btn_select.setEnabled(False)
self.folder_history = []
item_drive = QListWidgetItem("Mi Unidad")
item_drive.setData(Qt.UserRole, "root")
item_drive.setIcon(self.style().standardIcon(QStyle.StandardPixmap.SP_DriveHDIcon))
self.list_widget.addItem(item_drive)
item_pc = QListWidgetItem("Ordenadores")
item_pc.setData(Qt.UserRole, "computers")
item_pc.setIcon(self.style().standardIcon(QStyle.StandardPixmap.SP_ComputerIcon))
self.list_widget.addItem(item_pc)
def _load_folder(self, folder_id, folder_name):
self.list_widget.clear()
self.current_folder_id = folder_id
self.current_folder_name = folder_name
path_str = " > ".join([name for _, name in self.folder_history] + [folder_name])
self.path_label.setText(path_str)
self.btn_select.setEnabled(True)
self.btn_select.setText(f"Seleccionar: '{folder_name}'")
back_item = QListWidgetItem(".. (Volver)")
back_item.setData(Qt.UserRole, "BACK")
back_item.setIcon(self.style().standardIcon(QStyle.StandardPixmap.SP_ArrowUp))
back_item.setForeground(Qt.gray)
self.list_widget.addItem(back_item)
try:
QApplication.setOverrideCursor(Qt.WaitCursor)
folders = self.drive.list_folders(folder_id)
QApplication.restoreOverrideCursor()
# Si no hay carpetas, avisamos pero permitimos seleccionar
if not folders:
info_item = QListWidgetItem("(No hay subcarpetas)")
info_item.setFlags(Qt.NoItemFlags) # No seleccionable
self.list_widget.addItem(info_item)
for f in folders:
item = QListWidgetItem(f['name'])
item.setData(Qt.UserRole, f['id'])
item.setIcon(self.style().standardIcon(QStyle.StandardPixmap.SP_DirIcon))
self.list_widget.addItem(item)
except Exception as e:
QApplication.restoreOverrideCursor()
from PySide6.QtWidgets import QMessageBox
QMessageBox.warning(self, "Error", f"No se pudo listar: {e}")
def _on_item_double_clicked(self, item):
data = item.data(Qt.UserRole)
if not data: return
if data == "BACK":
if self.folder_history:
prev_id, prev_name = self.folder_history.pop()
if prev_id == "HOME":
self._load_home_menu()
else:
self._load_folder(prev_id, prev_name)
else:
self._load_home_menu()
elif data == "root" or data == "computers":
self.folder_history.append(("HOME", "Inicio"))
self._load_folder(data, item.text())
else:
self.folder_history.append((self.current_folder_id, self.current_folder_name))
self._load_folder(data, item.text())
def _select_current(self):
if self.current_folder_id == "HOME" or self.current_folder_id == "computers":
from PySide6.QtWidgets import QMessageBox
QMessageBox.information(self, "Aviso", "Por favor, entra en una carpeta específica para seleccionarla.")
return
self.selected_folder_id = self.current_folder_id
self.selected_folder_name = self.current_folder_name
self.accept()
# =================================================================
# SEÑALES Y WORKER PARA CARGAR Y RECORTAR CARAS (Sin cambios)
# =================================================================
class FaceLoaderSignals(QObject):
face_loaded = Signal(int, QPixmap, str)
face_load_failed = Signal(int)
# =================================================================
# WORKER PARA LOGIN DE GOOGLE DRIVE
# =================================================================
class DriveLoginWorker(QObject):
"""Worker para manejar la autenticación de Google Drive en segundo plano."""
login_success = Signal(object) # Emite el servicio de Drive
login_failed = Signal(str) # Emite mensaje de error
finished = Signal()
def __init__(self):
super().__init__()
@Slot()
def run(self):
try:
from drive_auth import DriveAuthenticator
auth = DriveAuthenticator()
service = auth.get_service()
self.login_success.emit(service)
except FileNotFoundError as e:
self.login_failed.emit(str(e))
except Exception as e:
print(f"Error de Login con Google: {e}")
self.login_failed.emit(str(e))
finally:
self.finished.emit()
class FolderLoaderWorker(QObject):
"""
Descarga la lista de subcarpetas de un directorio específico en segundo plano.
"""
finished = Signal(list, QTreeWidgetItem) # Emite: (lista_carpetas, item_del_arbol_que_se_expande)
def __init__(self, folder_id, parent_item):
super().__init__()
self.folder_id = folder_id
self.parent_item = parent_item
def run(self):
try:
# Instanciamos un manager independiente para este hilo
from drive_manager import DriveManager
manager = DriveManager()
# Obtenemos carpetas (esto puede tardar 1-2 segundos)
folders = manager.list_folders(self.folder_id)
self.finished.emit(folders, self.parent_item)
except Exception as e:
print(f"Error cargando carpetas: {e}")
self.finished.emit([], self.parent_item)
class DriveScanWorker(QObject):
"""
Worker con capacidad de 'Modo Lento' para ceder prioridad a otras tareas.
"""
progress = Signal(str)
finished = Signal(int)
def __init__(self, folder_id, db_path):
super().__init__()
self.folder_id = folder_id
self.db_path = db_path
self.is_running = True
self.slow_mode = False # <--- NUEVA VARIABLE DE CONTROL
@Slot(bool)
def set_slow_mode(self, active):
"""Slot para activar/desactivar el modo de baja prioridad."""
self.slow_mode = active
if active:
print("🐢 Worker Drive: Entrando en modo lento (Prioridad a carpetas)")
else:
print("🐇 Worker Drive: Volviendo a velocidad normal")
@Slot()
def run(self):
local_db = VisageVaultDB(os.path.basename(self.db_path), is_worker=True)
local_db.db_path = self.db_path
local_db.conn = sqlite3.connect(self.db_path, check_same_thread=False)
local_db.conn.execute("PRAGMA journal_mode=WAL;")
local_db.conn.row_factory = sqlite3.Row
try:
from drive_manager import DriveManager
local_manager = DriveManager()
count = 0
buffer = []
BATCH_SIZE = 100
last_update_time = time.time()
for batch_of_images in local_manager.list_images_recursively(self.folder_id):
if not self.is_running: break
buffer.extend(batch_of_images)
# --- AQUÍ ESTÁ LA MAGIA DE LA PRIORIDAD ---
if self.slow_mode:
# Si estamos en modo lento, dormimos 1.5 segundos.
# Esto deja la red y la CPU libres para que el Árbol de Carpetas cargue rápido.
time.sleep(1.5)
# ------------------------------------------
if len(buffer) >= BATCH_SIZE:
self._save_to_db(local_db, buffer)
count += len(buffer)
buffer = []
if time.time() - last_update_time > 1.0:
self.progress.emit(f"Indexando nube... {count} fotos guardadas.")
last_update_time = time.time()
time.sleep(0.05) # Pausa normal
if buffer:
self._save_to_db(local_db, buffer)
count += len(buffer)
self.progress.emit(f"Finalizado. Total: {count} fotos.")
self.finished.emit(count)
except Exception as e:
print(f"❌ ERROR FATAL EN WORKER DRIVE: {e}")
import traceback
traceback.print_exc()
self.finished.emit(0)
finally:
try: local_db.conn.close()
except: pass
def _save_to_db(self, db_instance, items):
try:
db_instance.bulk_upsert_drive_photos(items, root_folder_id=self.folder_id)
except Exception as e:
print(f"Error guardando en DB Drive: {e}")
class FaceScanWorker(QObject):
def __init__(self, db_path: str):
super().__init__()
self.db_path = db_path
self.signals = FaceScanSignals()
self.is_running = True
@Slot()
def run(self):
# Configuración de la DB en el hilo
local_db = VisageVaultDB(os.path.basename(self.db_path), is_worker=True)
local_db.db_path = self.db_path
local_db.conn = sqlite3.connect(self.db_path, check_same_thread=False)
# --- CORRECCIÓN CRÍTICA ---
local_db.conn.row_factory = sqlite3.Row # <--- ¡ESTA ES LA LÍNEA QUE FALTABA!
# --------------------------
local_db.conn.execute("PRAGMA journal_mode=WAL;")
try:
self.signals.scan_progress.emit("Buscando fotos sin escanear...")
# Ahora esto funcionará porque row_factory convierte las tuplas en objetos accesibles por nombre
unscanned_photos = local_db.get_unscanned_photos()
total = len(unscanned_photos)
if total == 0:
self.signals.scan_progress.emit("No hay fotos nuevas para analizar.")
self.signals.scan_percentage.emit(100)
self.signals.scan_finished.emit()
return
self.signals.scan_progress.emit(f"Escaneando {total} fotos nuevas para caras...")
# Extensiones RAW
RAW_EXTENSIONS = ('.nef', '.cr2', '.cr3', '.crw', '.arw', '.srf', '.orf', '.rw2', '.raf', '.pef', '.dng', '.raw')
for i, row in enumerate(unscanned_photos):
if not self.is_running: break
# AQUÍ DABA EL ERROR ANTES: row['id'] fallaba sin row_factory
photo_id = row['id']
photo_path = row['filepath']
# Actualizar barra de progreso con menos frecuencia (cada 5 fotos)
if i % 5 == 0:
percentage = (i + 1) * 100 // total
self.signals.scan_percentage.emit(percentage)
self.signals.scan_progress.emit(f"Analizando caras ({i+1}/{total})...")
time.sleep(0.001)
try:
image = None
file_suffix = Path(photo_path).suffix.lower()
# 1. Cargar Imagen (Soporte RAW + Standard)
if file_suffix in RAW_EXTENSIONS:
try:
with rawpy.imread(photo_path) as raw:
image = raw.postprocess()
except Exception:
local_db.mark_photo_as_scanned(photo_id)
continue
else:
image = face_recognition.load_image_file(photo_path)
if image is None:
local_db.mark_photo_as_scanned(photo_id)
continue
# 2. Optimización: Redimensionar si es gigante
h, w = image.shape[:2]
max_width = 1000
scale_ratio = 1.0
if w > max_width:
scale_ratio = max_width / float(w)
new_h = int(h * scale_ratio)
image = cv2.resize(image, (max_width, new_h))
# 3. Detectar caras
locations = face_recognition.face_locations(image)
if locations:
encodings = face_recognition.face_encodings(image, locations)
for loc, enc in zip(locations, encodings):
# Restaurar coordenadas originales si hubo redimensionado
if scale_ratio != 1.0:
top, right, bottom, left = loc
top = int(top / scale_ratio)
right = int(right / scale_ratio)
bottom = int(bottom / scale_ratio)
left = int(left / scale_ratio)
loc = (top, right, bottom, left)
location_str = str(loc)
encoding_blob = pickle.dumps(enc)
# Guardar cara encontrada
face_db_id = local_db.add_face(photo_id, encoding_blob, location_str)
self.signals.face_found.emit(face_db_id, photo_path, location_str)
# Marcar foto como procesada
local_db.mark_photo_as_scanned(photo_id)
except Exception as e:
print(f"Error procesando caras en {photo_path}: {e}")
local_db.mark_photo_as_scanned(photo_id)
self.signals.scan_progress.emit("Escaneo de caras finalizado.")
self.signals.scan_finished.emit()
except Exception as e:
print(f"Error crítico worker caras: {e}")
self.signals.scan_progress.emit(f"Error: {e}")
self.signals.scan_finished.emit()
finally:
local_db.conn.close()
# =================================================================
# CLASE: FaceLoader (CORREGIDA PARA RUTAS LINUX)
# =================================================================
class FaceLoader(QRunnable):
def __init__(self, signals: FaceLoaderSignals, face_id: int, photo_path: str, location_str: str):
super().__init__()
self.signals = signals
self.face_id = face_id
self.photo_path = photo_path
self.location_str = location_str
# --- CORRECCIÓN DE RUTA ---
# Detectar si estamos en modo sistema (Linux instalado) o portable
base_dir = os.path.dirname(os.path.abspath(__file__))
if os.access(base_dir, os.W_OK):
# Modo Desarrollo / Windows
self.cache_dir = os.path.join(base_dir, "visagevault_cache", "face_cache")
else:
# Modo Linux Instalado (AUR) -> Usar ~/.cache
user_home = os.path.expanduser("~")
self.cache_dir = os.path.join(user_home, ".cache", "visagevault", "face_cache")
# --------------------------
if not os.path.exists(self.cache_dir):
try: os.makedirs(self.cache_dir, exist_ok=True)
except: pass
self.cache_path = os.path.join(self.cache_dir, f"face_{self.face_id}.jpg")
@Slot()
def run(self):
try:
pixmap = QPixmap()
# 1. INTENTO DE CARGA RÁPIDA (CACHÉ)
if os.path.exists(self.cache_path):
if pixmap.load(self.cache_path):
try:
self.signals.face_loaded.emit(self.face_id, pixmap, self.photo_path)
except RuntimeError:
pass # Ignorar si la app se cerró mientras cargábamos
return
# 2. SI NO EXISTE CACHÉ: PROCESO LENTO (Abrir original y recortar)
location = ast.literal_eval(self.location_str)
(top, right, bottom, left) = location
RAW_EXTENSIONS = ('.nef', '.cr2', '.cr3', '.crw', '.arw', '.srf', '.orf', '.rw2', '.raf', '.pef', '.dng', '.raw')
file_suffix = Path(self.photo_path).suffix.lower()
img = None
if file_suffix in RAW_EXTENSIONS:
try:
with rawpy.imread(self.photo_path) as raw:
rgb_array = raw.postprocess()
img = Image.fromarray(rgb_array)
except Exception as e:
# print(f"Error rawpy en FaceLoader: {e}")
raise e
else:
img = Image.open(self.photo_path)
if img is None:
raise Exception("No se pudo cargar la imagen base")
# Recortar la cara
face_image_pil = img.crop((left, top, right, bottom))
# 3. GUARDAR EN CACHÉ
try:
if face_image_pil.mode != "RGB":
face_image_pil = face_image_pil.convert("RGB")
face_image_pil.save(self.cache_path, "JPEG", quality=90)
except Exception as e:
print(f"No se pudo guardar caché para cara {self.face_id}: {e}")
# 4. Convertir a QPixmap
buffer = QBuffer()
buffer.open(QIODevice.OpenModeFlag.ReadWrite)
face_image_pil.save(buffer, "PNG")
pixmap.loadFromData(buffer.data())
buffer.close()
if pixmap.isNull():
raise Exception("QPixmap nulo después de la conversión.")
# --- PROTECCIÓN CONTRA CIERRE ---
try:
self.signals.face_loaded.emit(self.face_id, pixmap, self.photo_path)
except RuntimeError:
pass # App cerrada, no hacer nada
except Exception as e:
# Si falla, emitimos señal de fallo, pero también protegida
try:
self.signals.face_load_failed.emit(self.face_id)
except RuntimeError:
pass # App cerrada
# =================================================================
# SEÑALES Y WORKER PARA AGRUPAR CARAS (CLUSTERING) (Sin cambios)
# =================================================================
class ClusterSignals(QObject):
clusters_found = Signal(list)
clustering_progress = Signal(str)
clustering_finished = Signal()
class ClusterWorker(QRunnable):
def __init__(self, signals: ClusterSignals, db_path: str):
super().__init__()
self.signals = signals
self.db_path = db_path
@Slot()
def run(self):
local_db = VisageVaultDB(os.path.basename(self.db_path), is_worker=True)
local_db.db_path = self.db_path
local_db.conn = sqlite3.connect(self.db_path, check_same_thread=False)
local_db.conn.row_factory = sqlite3.Row
try:
self.signals.clustering_progress.emit("Cargando datos de caras...")
face_data = local_db.get_unknown_face_encodings()
if len(face_data) < 2:
self.signals.clustering_progress.emit("No hay suficientes caras para comparar.")
self.signals.clusters_found.emit([])
self.signals.clustering_finished.emit()
return
# ... (Resto de lógica igual que antes) ...
self.signals.clustering_progress.emit(f"Comparando {len(face_data)} caras...")
face_ids = [data[0] for data in face_data]
encodings = np.array([data[1] for data in face_data])
clt = DBSCAN(eps=0.4, min_samples=2, metric="euclidean")
clt.fit(encodings)
clusters = {}
for face_id, label in zip(face_ids, clt.labels_):
if label == -1:
continue
if label not in clusters:
clusters[label] = []
clusters[label].append(face_id)
final_clusters_list = list(clusters.values())
self.signals.clustering_progress.emit(f"Se encontraron {len(final_clusters_list)} grupos.")
self.signals.clusters_found.emit(final_clusters_list)
except Exception as e:
print(f"Error crítico en el ClusterWorker: {e}")
self.signals.clustering_progress.emit(f"Error: {e}")
finally:
local_db.conn.close()
self.signals.clustering_finished.emit()
# =================================================================
# CLASE PARA MOSTRAR CARAS RECORTADAS (Sin cambios)
# =================================================================
class CircularFaceLabel(QLabel):
clicked = Signal()
rightClicked = Signal(QPoint)
def __init__(self, pixmap: QPixmap, parent=None):
super().__init__(parent)
self.setFixedSize(100, 100)
self.setCursor(Qt.PointingHandCursor)
self.setToolTip("Cara detectada (Haz clic para etiquetar)")
self.setAlignment(Qt.AlignCenter)
self._pixmap = QPixmap()
if pixmap and not pixmap.isNull():
self.setPixmap(pixmap)
def setPixmap(self, pixmap: QPixmap):
if pixmap.isNull():
self._pixmap = QPixmap()
else:
self._pixmap = pixmap.scaled(100, 100, Qt.KeepAspectRatioByExpanding, Qt.SmoothTransformation)
self.update()
def paintEvent(self, event: QPaintEvent):
if self._pixmap.isNull():
super().paintEvent(event)
return
painter = QPainter(self)
painter.setRenderHint(QPainter.Antialiasing)
path = QPainterPath()
path.addEllipse(0, 0, self.width(), self.height())
painter.setClipPath(path)
painter.drawPixmap(0, 0, self._pixmap)
painter.end()
def mousePressEvent(self, event):
if event.button() == Qt.LeftButton:
self.clicked.emit()
elif event.button() == Qt.RightButton:
self.rightClicked.emit(event.globalPos())
super().mousePressEvent(event)
# =================================================================
# CLASE: ZoomableClickableLabel (Corregida)
# =================================================================
class ZoomableClickableLabel(QLabel):
doubleClickedPath = Signal(str)
def __init__(self, original_path=None, parent=None):
super().__init__(parent)
self.original_path = original_path
self.setAlignment(Qt.AlignCenter)
self.setMouseTracking(True)
self._original_pixmap = QPixmap()
self._current_scale = 1.0
self._scale_factor = 1.15
self._view_offset = QPointF(0.0, 0.0)
self._panning = False
self._last_mouse_pos = QPoint()
self.is_thumbnail_view = False
self.setCursor(Qt.OpenHandCursor)
def setOriginalPixmap(self, pixmap: QPixmap):
if pixmap.isNull():
self._original_pixmap = QPixmap()
else:
self._original_pixmap = pixmap
# Reseteamos variables
self._current_scale = 1.0
self._view_offset = QPointF(0.0, 0.0)
# ¡IMPORTANTE! Calcular el ajuste inicial inmediatamente
self.fitToWindow()
def fitToWindow(self):
"""Ajusta la imagen para que quepa perfectamente en la ventana."""
if self._original_pixmap.isNull():
return
# --- CORRECCIÓN: Obtener dimensiones reales disponibles ---
# Si el label aún no se ha "estirado" (ancho < 100), usamos el tamaño de la ventana padre.
# Esto soluciona que la foto salga minúscula al abrirse.
view_width = self.width()
view_height = self.height()
if view_width < 100 and self.window():
view_width = self.window().width()
view_height = self.window().height()
if view_width <= 0 or view_height <= 0: return
# Calculamos ratios usando esas dimensiones corregidas
x_ratio = view_width / self._original_pixmap.width()
y_ratio = view_height / self._original_pixmap.height()
# Ajustamos la escala para que ocupe el MÁXIMO posible (llenar pantalla)
self._current_scale = min(x_ratio, y_ratio)
# Centramos
self._view_offset = QPointF(0, 0)
# Aplicamos límites y actualizamos
self._clamp_view_offset()
self.update()
def wheelEvent(self, event):
if event.modifiers() == Qt.ControlModifier:
if self.is_thumbnail_view:
if event.angleDelta().y() < 0:
self._open_preview()
else:
super().wheelEvent(event)
else:
if event.angleDelta().y() > 0:
# Intentar cerrar si es el visor
win = self.window()
if win.property("is_lightbox"):
win.close_with_animation()
return
if self.is_thumbnail_view:
super().wheelEvent(event)
return
if self._original_pixmap.isNull():
return
old_scale = self._current_scale
if event.angleDelta().y() > 0:
self._current_scale *= self._scale_factor
else:
self._current_scale /= self._scale_factor
mouse_pos_in_label = event.position()
original_img_coords_before_zoom = QPointF(
self._view_offset.x() + (mouse_pos_in_label.x() / old_scale),
self._view_offset.y() + (mouse_pos_in_label.y() / old_scale)
)
self._view_offset = QPointF(
original_img_coords_before_zoom.x() - (mouse_pos_in_label.x() / self._current_scale),
original_img_coords_before_zoom.y() - (mouse_pos_in_label.y() / self._current_scale)
)
self._clamp_view_offset()
self.update()
def mousePressEvent(self, event):
# Si estamos en modo miniatura, el comportamiento es el estándar
if self.is_thumbnail_view:
super().mousePressEvent(event)
return
# --- LÓGICA DE DETECCIÓN DE CLIC EN ZONA NEGRA ---
if event.button() == Qt.LeftButton:
# 1. Calcular tamaño visual real de la imagen escalada
scaled_w = self._original_pixmap.width() * self._current_scale
scaled_h = self._original_pixmap.height() * self._current_scale
# 2. Calcular dónde empieza la imagen (centrado)
# Si la imagen es más pequeña que la ventana, hay margen (x > 0).
# Si es más grande, ocupa todo (x = 0).
x_start = (self.width() - scaled_w) / 2 if scaled_w < self.width() else 0
y_start = (self.height() - scaled_h) / 2 if scaled_h < self.height() else 0
# 3. Crear el rectángulo que ocupa la imagen REALMENTE en pantalla
# Usamos el ancho/alto visual o el de la ventana (el que sea menor) para definir el área clicable válida
valid_w = min(scaled_w, self.width())
valid_h = min(scaled_h, self.height())
# Ajuste: Si la imagen es gigante (zoom), el rect válido es toda la pantalla