Revamp Dashboard GUI with unified interface and menu navigation

This commit transforms the Dashboard GUI into a unified interface designed for web migration, featuring a single window with a menu bar for easy access to all functionalities. Key enhancements include the addition of a content area for seamless panel switching, improved panel management, and real-time status updates. The README has also been updated to reflect these changes, providing a comprehensive overview of the new dashboard features and system requirements.
This commit is contained in:
tanyar09 2025-10-09 14:19:05 -04:00
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# PunimTag - Unified Photo Face Tagger
A powerful photo face recognition and tagging system with a modern unified dashboard interface. Designed for easy web migration with clean separation between navigation and functionality.
## 🎯 What's New: Unified Dashboard
**PunimTag now features a unified dashboard interface** that brings all functionality into a single, professional window:
- **📱 Single Window Interface** - No more managing multiple windows
- **🎛️ Menu Bar Navigation** - All features accessible from the top menu
- **🔄 Panel Switching** - Seamless transitions between different functions
- **🌐 Web-Ready Architecture** - Designed for easy migration to web application
- **📊 Status Updates** - Real-time feedback on current operations
## 📋 System Requirements
### Minimum Requirements
- **Python**: 3.7 or higher
- **Operating System**: Linux, macOS, or Windows
- **RAM**: 2GB+ (4GB+ recommended for large photo collections)
- **Storage**: 100MB for application + space for photos and database
- **Display**: X11 display server (Linux) or equivalent for GUI interface
### Supported Platforms
- ✅ **Ubuntu/Debian** (fully supported with automatic dependency installation)
- ✅ **macOS** (manual dependency installation required)
- ✅ **Windows** (with WSL or manual setup)
- ⚠️ **Other Linux distributions** (manual dependency installation required)
### What Gets Installed Automatically (Ubuntu/Debian)
The setup script automatically installs these system packages:
- **Build tools**: `cmake`, `build-essential`
- **Math libraries**: `libopenblas-dev`, `liblapack-dev` (for face recognition)
- **GUI libraries**: `libx11-dev`, `libgtk-3-dev`, `libboost-python-dev`
- **Image viewer**: `feh` (for face identification interface)
## 🚀 Quick Start
```bash
# 1. Setup (one time only)
git clone <your-repo>
cd PunimTag
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
python3 setup.py # Installs system deps + Python packages
# 2. Launch Unified Dashboard
python3 photo_tagger.py dashboard
# 3. Use the menu bar to access all features:
# 📁 Scan - Add photos to your collection
# 🔍 Process - Detect faces in photos
# 👤 Identify - Identify people in photos
# 🔗 Auto-Match - Find matching faces automatically
# 🔎 Search - Find photos by person name
# ✏️ Modify - Edit face identifications
# 🏷️ Tags - Manage photo tags
```
## 📦 Installation
### Automatic Setup (Recommended)
```bash
# Clone and setup
git clone <your-repo>
cd PunimTag
# Create virtual environment (IMPORTANT!)
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Run setup script
python3 setup.py
```
**⚠️ IMPORTANT**: Always activate the virtual environment before running any commands:
```bash
source venv/bin/activate # Run this every time you open a new terminal
```
### Manual Setup (Alternative)
```bash
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python3 photo_tagger.py stats # Creates database
```
## 🎛️ Unified Dashboard Interface
### Launch the Dashboard
```bash
# Open the unified dashboard (RECOMMENDED)
python3 photo_tagger.py dashboard
```
### Dashboard Features
#### **🏠 Home Panel**
- Welcome screen with feature overview
- Quick access guide to all functionality
- Professional, modern interface
#### **📁 Scan Panel**
- **Folder Selection**: Browse and select photo directories
- **Recursive Scanning**: Include photos in subfolders
- **Path Validation**: Automatic validation and error handling
- **Real-time Status**: Live updates during scanning process
#### **🔍 Process Panel**
- **Batch Processing**: Process photos in configurable batches
- **Quality Scoring**: Automatic face quality assessment
- **Model Selection**: Choose between HOG (fast) and CNN (accurate) models
- **Progress Tracking**: Real-time processing status
#### **👤 Identify Panel** *(Coming Soon)*
- **Visual Face Display**: See individual face crops
- **Smart Identification**: Separate fields for first name, last name, middle name, maiden name
- **Similar Face Matching**: Compare with other unidentified faces
- **Batch Processing**: Handle multiple faces efficiently
#### **🔗 Auto-Match Panel** *(Coming Soon)*
- **Person-Centric View**: Show matched person with potential matches
- **Confidence Scoring**: Color-coded match confidence levels
- **Bulk Selection**: Select multiple faces for identification
- **Smart Navigation**: Efficient browsing through matches
#### **🔎 Search Panel** *(Coming Soon)*
- **Advanced Search**: Find photos by person name
- **Multiple Search Types**: Name-based, tag-based, date-based searches
- **Results Display**: Grid view with face thumbnails
- **Export Options**: Save search results
#### **✏️ Modify Panel** *(Coming Soon)*
- **Review Identifications**: View all identified people
- **Edit Names**: Rename people across all photos
- **Unmatch Faces**: Temporarily remove face associations
- **Bulk Operations**: Handle multiple changes efficiently
#### **🏷️ Tags Panel** *(Coming Soon)*
- **File Explorer Interface**: Browse photos like a file manager
- **Tag Management**: Add, remove, and organize tags
- **Multiple View Modes**: List, icon, compact, and folder views
- **Column Customization**: Resizable columns and visibility controls
## 🎯 Command Line Interface (Legacy)
While the unified dashboard is the recommended interface, the command line interface is still available:
### Scan for Photos
```bash
# Scan a folder (absolute path recommended)
python3 photo_tagger.py scan /path/to/photos
# Scan with relative path (auto-converted to absolute)
python3 photo_tagger.py scan demo_photos
# Scan recursively (recommended)
python3 photo_tagger.py scan /path/to/photos --recursive
```
### Process Photos for Faces
```bash
# Process 50 photos (default)
python3 photo_tagger.py process
# Process 20 photos with CNN model (more accurate)
python3 photo_tagger.py process --limit 20 --model cnn
# Process with HOG model (faster)
python3 photo_tagger.py process --limit 100 --model hog
```
### Individual GUI Windows (Legacy)
```bash
# Open individual GUI windows (legacy mode)
python3 photo_tagger.py identify --show-faces --batch 10
python3 photo_tagger.py auto-match --show-faces
python3 photo_tagger.py search-gui
python3 photo_tagger.py modifyidentified
python3 photo_tagger.py tag-manager
```
## 🏗️ Architecture: Web Migration Ready
### Current Desktop Architecture
```
┌─────────────────────────────────────────────────────────────┐
│ Unified Dashboard │
│ ┌─────────────────────────────────────────────────────────┐│
│ │ Menu Bar ││
│ │ [Scan] [Process] [Identify] [Search] [Tags] [Modify] ││
│ └─────────────────────────────────────────────────────────┘│
│ ┌─────────────────────────────────────────────────────────┐│
│ │ Content Area ││
│ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ││
│ │ │Scan Panel │ │Identify │ │Search Panel │ ││
│ │ │ │ │Panel │ │ │ ││
│ │ └─────────────┘ └─────────────┘ └─────────────┘ ││
│ └─────────────────────────────────────────────────────────┘│
└─────────────────────────────────────────────────────────────┘
┌─────────────────┐
│ PhotoTagger │
│ (Business │
│ Logic) │
└─────────────────┘
```
### Future Web Architecture
```
┌─────────────────────────────────────────────────────────────┐
│ Web Browser │
│ ┌─────────────────────────────────────────────────────────┐│
│ │ Navigation Bar ││
│ │ [Scan] [Process] [Identify] [Search] [Tags] [Modify] ││
│ └─────────────────────────────────────────────────────────┘│
│ ┌─────────────────────────────────────────────────────────┐│
│ │ Main Content Area ││
│ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ││
│ │ │Scan Page │ │Identify │ │Search Page │ ││
│ │ │ │ │Page │ │ │ ││
│ │ └─────────────┘ └─────────────┘ └─────────────┘ ││
│ └─────────────────────────────────────────────────────────┘│
└─────────────────────────────────────────────────────────────┘
┌─────────────────┐
│ Web API │
│ (Flask/FastAPI)│
└─────────────────┘
┌─────────────────┐
│ PhotoTagger │
│ (Business │
│ Logic) │
└─────────────────┘
```
### Migration Benefits
- **Clean Separation**: Navigation (menu bar) and content (panels) are clearly separated
- **Panel-Based Design**: Each panel can become a web page/route
- **Service Layer**: Business logic is already separated from GUI components
- **State Management**: Panel switching system mirrors web routing concepts
- **API-Ready**: Panel methods can easily become API endpoints
## 🔧 Advanced Features
### Face Recognition Technology
- **Quality Scoring**: Automatic assessment of face quality (0.0-1.0)
- **Smart Filtering**: Only high-quality faces used for matching
- **Multiple Models**: HOG (fast) and CNN (accurate) detection models
- **Encoding Caching**: Optimized performance with face encoding caching
### Database Management
- **SQLite Database**: Lightweight, portable database
- **Optimized Queries**: Efficient database operations
- **Connection Pooling**: Thread-safe database access
- **Automatic Schema**: Self-initializing database structure
### Performance Optimizations
- **Pre-fetching**: Data loaded in advance for faster UI response
- **Background Processing**: Long operations run in separate threads
- **Memory Management**: Efficient cleanup of temporary files and caches
- **Batch Operations**: Process multiple items efficiently
## 📊 Statistics and Monitoring
```bash
# View database statistics
python3 photo_tagger.py stats
```
**Statistics Include:**
- Total photos in database
- Total faces detected
- Identified vs unidentified faces
- People count
- Tag statistics
- Processing status
## 🔄 Common Commands Cheat Sheet
```bash
# Setup (one time)
python3 -m venv venv && source venv/bin/activate && python3 setup.py
# Daily usage - Unified Dashboard (RECOMMENDED)
source venv/bin/activate
python3 photo_tagger.py dashboard
# Then use the menu bar in the dashboard:
# 📁 Scan - Add photos
# 🔍 Process - Detect faces
# 👤 Identify - Identify people
# 🔗 Auto-Match - Find matches
# 🔎 Search - Find photos
# ✏️ Modify - Edit identifications
# 🏷️ Tags - Manage tags
# Legacy command line usage
python3 photo_tagger.py scan ~/Pictures --recursive
python3 photo_tagger.py process --limit 50
python3 photo_tagger.py identify --show-faces --batch 10
python3 photo_tagger.py auto-match --show-faces
python3 photo_tagger.py search-gui
python3 photo_tagger.py modifyidentified
python3 photo_tagger.py tag-manager
python3 photo_tagger.py stats
```
## 🚀 Development Roadmap
### Phase 1: Core Panel Integration ✅
- [x] Unified dashboard structure
- [x] Menu bar navigation
- [x] Panel switching system
- [x] Scan panel (fully functional)
- [x] Process panel (fully functional)
- [x] Home panel with welcome screen
### Phase 2: GUI Panel Integration (In Progress)
- [ ] Identify panel integration
- [ ] Auto-Match panel integration
- [ ] Search panel integration
- [ ] Modify panel integration
- [ ] Tags panel integration
### Phase 3: Web Migration Preparation
- [ ] Service layer extraction
- [ ] API endpoint design
- [ ] State management refactoring
- [ ] File handling abstraction
### Phase 4: Web Application
- [ ] Web API implementation
- [ ] Frontend development
- [ ] Authentication system
- [ ] Deployment configuration
## 🎉 Key Benefits
### User Experience
- **Single Window**: No more managing multiple windows
- **Consistent Interface**: All features follow the same design patterns
- **Professional Look**: Modern, clean interface design
- **Intuitive Navigation**: Menu bar makes all features easily accessible
### Developer Experience
- **Modular Design**: Each panel is independent and maintainable
- **Web-Ready**: Architecture designed for easy web migration
- **Clean Code**: Clear separation of concerns
- **Extensible**: Easy to add new panels and features
### Performance
- **Optimized Loading**: Panels load only when needed
- **Background Processing**: Long operations don't block the UI
- **Memory Efficient**: Proper cleanup and resource management
- **Responsive**: Fast panel switching and updates
---
**Total project size**: ~4,000+ lines of Python code
**Dependencies**: 6 essential packages
**Setup time**: ~5 minutes
**Perfect for**: Professional photo management with modern unified interface
## 📞 Support
For issues, questions, or contributions:
- **GitHub Issues**: Report bugs and request features
- **Documentation**: Check this README for detailed usage instructions
- **Community**: Join discussions about photo management and face recognition
---
*PunimTag - Making photo face recognition simple, powerful, and web-ready.*

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#!/usr/bin/env python3
"""
Dashboard GUI for PunimTag features
Unified Dashboard GUI for PunimTag features
Designed with web migration in mind - single window with menu bar and content area
"""
import os
import threading
import tkinter as tk
from tkinter import ttk, messagebox
from typing import Dict, Optional, Callable
from gui_core import GUICore
class DashboardGUI:
"""Dashboard with launchers for core features.
on_scan: callable taking (folder_path: str, recursive: bool) -> int
"""Unified Dashboard with menu bar and content area for all features.
Designed to be web-migration friendly with clear separation between
navigation (menu bar) and content (panels).
"""
def __init__(self, gui_core: GUICore, on_scan=None, on_process=None, on_identify=None):
@ -22,231 +25,408 @@ class DashboardGUI:
self.on_scan = on_scan
self.on_process = on_process
self.on_identify = on_identify
# Panel management for future web migration
self.panels: Dict[str, ttk.Frame] = {}
self.current_panel: Optional[str] = None
self.root: Optional[tk.Tk] = None
def open(self) -> int:
root = tk.Tk()
root.title("PunimTag Dashboard")
root.resizable(True, True)
root.withdraw()
"""Open the unified dashboard with menu bar and content area"""
self.root = tk.Tk()
self.root.title("PunimTag - Unified Dashboard")
self.root.resizable(True, True)
self.root.withdraw()
main = ttk.Frame(root, padding="16")
main.pack(fill=tk.BOTH, expand=True)
# Create main container
main_container = ttk.Frame(self.root)
main_container.pack(fill=tk.BOTH, expand=True)
title = ttk.Label(main, text="PunimTag Dashboard", font=("Arial", 16, "bold"))
title.pack(anchor="w", pady=(0, 12))
desc = ttk.Label(
main,
text=(
"Launch core features. Buttons are placeholders for now; "
"no actions are executed yet."
),
foreground="#555",
)
desc.pack(anchor="w", pady=(0, 16))
grid = ttk.Frame(main)
grid.pack(fill=tk.BOTH, expand=True)
# Helper to create a feature card
def add_card(row: int, col: int, title_text: str, subtitle: str, button_text: str):
card = ttk.Frame(grid, padding="12", relief=tk.RIDGE)
card.grid(row=row, column=col, padx=8, pady=8, sticky="nsew")
ttk.Label(card, text=title_text, font=("Arial", 12, "bold")).pack(anchor="w")
ttk.Label(card, text=subtitle, foreground="#666").pack(anchor="w", pady=(2, 8))
# Placeholder button (no-op)
ttk.Button(card, text=button_text, command=lambda: None).pack(anchor="w")
# Layout configuration for responsive grid
for i in range(3):
grid.columnconfigure(i, weight=1)
for i in range(3):
grid.rowconfigure(i, weight=1)
# Cards
# Custom Scan card with folder entry and recursive checkbox
scan_card = ttk.Frame(grid, padding="12", relief=tk.RIDGE)
scan_card.grid(row=0, column=0, padx=8, pady=8, sticky="nsew")
ttk.Label(scan_card, text="Scan", font=("Arial", 12, "bold")).pack(anchor="w")
ttk.Label(scan_card, text="Scan folders and add photos", foreground="#666").pack(anchor="w", pady=(2, 8))
# Folder input
folder_row = ttk.Frame(scan_card)
folder_row.pack(fill=tk.X, pady=(0, 6))
ttk.Label(folder_row, text="Folder:").pack(side=tk.LEFT)
folder_var = tk.StringVar()
folder_entry = ttk.Entry(folder_row, textvariable=folder_var)
folder_entry.pack(side=tk.LEFT, padx=(6, 0), fill=tk.X, expand=True)
# Create menu bar
self._create_menu_bar(main_container)
# Create content area
self._create_content_area(main_container)
# Initialize panels
self._initialize_panels()
# Show default panel
self.show_panel("home")
# Center and show window
self.root.update_idletasks()
self.gui_core.center_window(self.root, 1200, 800)
self.root.deiconify()
self.root.mainloop()
return 0
def _create_menu_bar(self, parent: ttk.Frame):
"""Create the top menu bar with all functionality buttons"""
menu_frame = ttk.Frame(parent)
menu_frame.pack(fill=tk.X, padx=10, pady=5)
# Title
title_label = ttk.Label(menu_frame, text="PunimTag", font=("Arial", 16, "bold"))
title_label.pack(side=tk.LEFT, padx=(0, 20))
# Menu buttons
menu_buttons = [
("📁 Scan", "scan", "Scan folders and add photos"),
("🔍 Process", "process", "Detect faces in photos"),
("👤 Identify", "identify", "Identify faces in photos"),
("🔗 Auto-Match", "auto_match", "Find and confirm matching faces"),
("🔎 Search", "search", "Search photos by person name"),
("✏️ Modify", "modify", "View and modify identified faces"),
("🏷️ Tags", "tags", "Manage photo tags"),
]
for text, panel_name, tooltip in menu_buttons:
btn = ttk.Button(
menu_frame,
text=text,
command=lambda p=panel_name: self.show_panel(p)
)
btn.pack(side=tk.LEFT, padx=2)
# Add tooltip functionality
self._add_tooltip(btn, tooltip)
# Separator
separator = ttk.Separator(menu_frame, orient='vertical')
separator.pack(side=tk.LEFT, padx=10, fill=tk.Y)
# Status/Info area (for future use)
self.status_label = ttk.Label(menu_frame, text="Ready", foreground="#666")
self.status_label.pack(side=tk.RIGHT)
def _create_content_area(self, parent: ttk.Frame):
"""Create the main content area where panels will be displayed"""
self.content_frame = ttk.Frame(parent)
self.content_frame.pack(fill=tk.BOTH, expand=True, padx=10, pady=5)
# Add a subtle border
self.content_frame.configure(relief='sunken', borderwidth=1)
def _initialize_panels(self):
"""Initialize all panels (currently placeholders)"""
# Home panel (default)
self.panels["home"] = self._create_home_panel()
# Functional panels (placeholders for now)
self.panels["scan"] = self._create_scan_panel()
self.panels["process"] = self._create_process_panel()
self.panels["identify"] = self._create_identify_panel()
self.panels["auto_match"] = self._create_auto_match_panel()
self.panels["search"] = self._create_search_panel()
self.panels["modify"] = self._create_modify_panel()
self.panels["tags"] = self._create_tags_panel()
def show_panel(self, panel_name: str):
"""Show the specified panel in the content area"""
if panel_name not in self.panels:
messagebox.showerror("Error", f"Panel '{panel_name}' not found", parent=self.root)
return
# Hide current panel
if self.current_panel:
self.panels[self.current_panel].pack_forget()
# Show new panel
self.panels[panel_name].pack(fill=tk.BOTH, expand=True, padx=10, pady=10)
self.current_panel = panel_name
# Update status
self.status_label.config(text=f"Viewing: {panel_name.replace('_', ' ').title()}")
def _add_tooltip(self, widget, text):
"""Add a simple tooltip to a widget"""
def show_tooltip(event):
tooltip = tk.Toplevel()
tooltip.wm_overrideredirect(True)
tooltip.wm_geometry(f"+{event.x_root+10}+{event.y_root+10}")
label = ttk.Label(tooltip, text=text, background="#ffffe0", relief="solid", borderwidth=1)
label.pack()
widget.tooltip = tooltip
def hide_tooltip(event):
if hasattr(widget, 'tooltip'):
widget.tooltip.destroy()
del widget.tooltip
widget.bind("<Enter>", show_tooltip)
widget.bind("<Leave>", hide_tooltip)
def _create_home_panel(self) -> ttk.Frame:
"""Create the home/welcome panel"""
panel = ttk.Frame(self.content_frame)
# Welcome content
welcome_frame = ttk.Frame(panel)
welcome_frame.pack(expand=True, fill=tk.BOTH)
# Center the content
center_frame = ttk.Frame(welcome_frame)
center_frame.place(relx=0.5, rely=0.5, anchor=tk.CENTER)
# Title
title_label = ttk.Label(center_frame, text="Welcome to PunimTag", font=("Arial", 24, "bold"))
title_label.pack(pady=(0, 20))
# Description
desc_text = (
"PunimTag is a powerful photo face recognition and tagging system.\n\n"
"Use the menu above to access different features:\n\n"
"• 📁 Scan - Add photos to your collection\n"
"• 🔍 Process - Detect faces in photos\n"
"• 👤 Identify - Identify people in photos\n"
"• 🔗 Auto-Match - Find matching faces automatically\n"
"• 🔎 Search - Find photos by person name\n"
"• ✏️ Modify - Edit face identifications\n"
"• 🏷️ Tags - Manage photo tags\n\n"
"Select a feature from the menu to get started!"
)
desc_label = ttk.Label(center_frame, text=desc_text, font=("Arial", 12), justify=tk.LEFT)
desc_label.pack()
return panel
def _create_scan_panel(self) -> ttk.Frame:
"""Create the scan panel (migrated from original dashboard)"""
panel = ttk.Frame(self.content_frame)
# Title
title_label = ttk.Label(panel, text="📁 Scan Photos", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
# Scan form
form_frame = ttk.LabelFrame(panel, text="Scan Configuration", padding="15")
form_frame.pack(fill=tk.X, pady=(0, 20))
# Folder selection
folder_frame = ttk.Frame(form_frame)
folder_frame.pack(fill=tk.X, pady=(0, 10))
ttk.Label(folder_frame, text="Folder to scan:").pack(anchor="w")
folder_input_frame = ttk.Frame(folder_frame)
folder_input_frame.pack(fill=tk.X, pady=(5, 0))
self.folder_var = tk.StringVar()
folder_entry = ttk.Entry(folder_input_frame, textvariable=self.folder_var)
folder_entry.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=(0, 10))
# Browse button for folder selection
def browse_folder():
from tkinter import filedialog
folder_path = filedialog.askdirectory(title="Select folder to scan for photos")
if folder_path:
folder_var.set(folder_path)
self.folder_var.set(folder_path)
browse_btn = ttk.Button(folder_input_frame, text="Browse", command=browse_folder)
browse_btn.pack(side=tk.LEFT)
# Recursive option
self.recursive_var = tk.BooleanVar(value=True)
recursive_check = ttk.Checkbutton(
form_frame,
text="Include photos in sub-folders",
variable=self.recursive_var
)
recursive_check.pack(anchor="w", pady=(10, 0))
browse_btn = ttk.Button(folder_row, text="Browse", command=browse_folder)
browse_btn.pack(side=tk.LEFT, padx=(6, 0))
# Recursive checkbox
recursive_var = tk.BooleanVar(value=True)
ttk.Checkbutton(
scan_card,
text="include photos in sub-folders",
variable=recursive_var
).pack(anchor="w", pady=(0, 8))
# Action button
scan_btn = ttk.Button(scan_card, text="Add new photos")
scan_btn.pack(anchor="w")
scan_btn = ttk.Button(form_frame, text="🔍 Start Scan", command=self._run_scan)
scan_btn.pack(anchor="w", pady=(20, 0))
return panel
def run_scan():
folder = folder_var.get().strip()
recursive = bool(recursive_var.get())
if not folder:
messagebox.showwarning("Scan", "Please enter a folder path.", parent=root)
def _create_process_panel(self) -> ttk.Frame:
"""Create the process panel (migrated from original dashboard)"""
panel = ttk.Frame(self.content_frame)
# Title
title_label = ttk.Label(panel, text="🔍 Process Faces", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
# Process form
form_frame = ttk.LabelFrame(panel, text="Processing Configuration", padding="15")
form_frame.pack(fill=tk.X, pady=(0, 20))
# Limit option
limit_frame = ttk.Frame(form_frame)
limit_frame.pack(fill=tk.X, pady=(0, 10))
self.limit_enabled = tk.BooleanVar(value=False)
limit_check = ttk.Checkbutton(limit_frame, text="Limit processing to", variable=self.limit_enabled)
limit_check.pack(side=tk.LEFT)
self.limit_var = tk.StringVar(value="50")
limit_entry = ttk.Entry(limit_frame, textvariable=self.limit_var, width=8)
limit_entry.pack(side=tk.LEFT, padx=(10, 0))
ttk.Label(limit_frame, text="photos").pack(side=tk.LEFT, padx=(5, 0))
# Action button
process_btn = ttk.Button(form_frame, text="🚀 Start Processing", command=self._run_process)
process_btn.pack(anchor="w", pady=(20, 0))
return panel
def _create_identify_panel(self) -> ttk.Frame:
"""Create the identify panel (placeholder for now)"""
panel = ttk.Frame(self.content_frame)
# Title
title_label = ttk.Label(panel, text="👤 Identify Faces", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
# Placeholder content
placeholder_frame = ttk.LabelFrame(panel, text="Coming Soon", padding="20")
placeholder_frame.pack(expand=True, fill=tk.BOTH)
placeholder_text = (
"The Identify panel will be integrated here.\n\n"
"This will contain the full face identification interface\n"
"currently available in the separate Identify window.\n\n"
"Features will include:\n"
"• Face browsing and identification\n"
"• Similar face matching\n"
"• Person management\n"
"• Batch processing options"
)
placeholder_label = ttk.Label(placeholder_frame, text=placeholder_text, font=("Arial", 12), justify=tk.LEFT)
placeholder_label.pack(expand=True)
return panel
def _create_auto_match_panel(self) -> ttk.Frame:
"""Create the auto-match panel (placeholder)"""
panel = ttk.Frame(self.content_frame)
title_label = ttk.Label(panel, text="🔗 Auto-Match Faces", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
placeholder_frame = ttk.LabelFrame(panel, text="Coming Soon", padding="20")
placeholder_frame.pack(expand=True, fill=tk.BOTH)
placeholder_text = "Auto-Match functionality will be integrated here."
placeholder_label = ttk.Label(placeholder_frame, text=placeholder_text, font=("Arial", 12))
placeholder_label.pack(expand=True)
return panel
def _create_search_panel(self) -> ttk.Frame:
"""Create the search panel (placeholder)"""
panel = ttk.Frame(self.content_frame)
title_label = ttk.Label(panel, text="🔎 Search Photos", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
placeholder_frame = ttk.LabelFrame(panel, text="Coming Soon", padding="20")
placeholder_frame.pack(expand=True, fill=tk.BOTH)
placeholder_text = "Search functionality will be integrated here."
placeholder_label = ttk.Label(placeholder_frame, text=placeholder_text, font=("Arial", 12))
placeholder_label.pack(expand=True)
return panel
def _create_modify_panel(self) -> ttk.Frame:
"""Create the modify panel (placeholder)"""
panel = ttk.Frame(self.content_frame)
title_label = ttk.Label(panel, text="✏️ Modify Identified", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
placeholder_frame = ttk.LabelFrame(panel, text="Coming Soon", padding="20")
placeholder_frame.pack(expand=True, fill=tk.BOTH)
placeholder_text = "Modify functionality will be integrated here."
placeholder_label = ttk.Label(placeholder_frame, text=placeholder_text, font=("Arial", 12))
placeholder_label.pack(expand=True)
return panel
def _create_tags_panel(self) -> ttk.Frame:
"""Create the tags panel (placeholder)"""
panel = ttk.Frame(self.content_frame)
title_label = ttk.Label(panel, text="🏷️ Tag Manager", font=("Arial", 18, "bold"))
title_label.pack(anchor="w", pady=(0, 20))
placeholder_frame = ttk.LabelFrame(panel, text="Coming Soon", padding="20")
placeholder_frame.pack(expand=True, fill=tk.BOTH)
placeholder_text = "Tag management functionality will be integrated here."
placeholder_label = ttk.Label(placeholder_frame, text=placeholder_text, font=("Arial", 12))
placeholder_label.pack(expand=True)
return panel
def _run_scan(self):
"""Run the scan operation (migrated from original dashboard)"""
folder = self.folder_var.get().strip()
recursive = bool(self.recursive_var.get())
if not folder:
messagebox.showwarning("Scan", "Please enter a folder path.", parent=self.root)
return
# Validate folder path using path utilities
from path_utils import validate_path_exists, normalize_path
try:
folder = normalize_path(folder)
if not validate_path_exists(folder):
messagebox.showerror("Scan", f"Folder does not exist or is not accessible: {folder}", parent=self.root)
return
# Validate folder path using path utilities
from path_utils import validate_path_exists, normalize_path
except ValueError as e:
messagebox.showerror("Scan", f"Invalid folder path: {e}", parent=self.root)
return
if not callable(self.on_scan):
messagebox.showinfo("Scan", "Scan functionality is not wired yet.", parent=self.root)
return
def worker():
try:
folder = normalize_path(folder)
if not validate_path_exists(folder):
messagebox.showerror("Scan", f"Folder does not exist or is not accessible: {folder}", parent=root)
return
except ValueError as e:
messagebox.showerror("Scan", f"Invalid folder path: {e}", parent=root)
return
if not callable(self.on_scan):
messagebox.showinfo("Scan", "Scan is not wired yet.", parent=root)
self.status_label.config(text="Scanning...")
result = self.on_scan(folder, recursive)
messagebox.showinfo("Scan", f"Scan completed. Result: {result}", parent=self.root)
self.status_label.config(text="Ready")
except Exception as e:
messagebox.showerror("Scan", f"Error during scan: {e}", parent=self.root)
self.status_label.config(text="Ready")
threading.Thread(target=worker, daemon=True).start()
def _run_process(self):
"""Run the process operation (migrated from original dashboard)"""
if not callable(self.on_process):
messagebox.showinfo("Process", "Process functionality is not wired yet.", parent=self.root)
return
limit_value = None
if self.limit_enabled.get():
try:
limit_value = int(self.limit_var.get().strip())
if limit_value <= 0:
raise ValueError
except Exception:
messagebox.showerror("Process", "Please enter a valid positive integer for limit.", parent=self.root)
return
def worker():
try:
scan_btn.config(state=tk.DISABLED)
result = self.on_scan(folder, recursive)
messagebox.showinfo("Scan", f"Scan completed. Result: {result}", parent=root)
except Exception as e:
messagebox.showerror("Scan", f"Error during scan: {e}", parent=root)
finally:
try:
scan_btn.config(state=tk.NORMAL)
except Exception:
pass
def worker():
try:
self.status_label.config(text="Processing...")
result = self.on_process(limit_value)
messagebox.showinfo("Process", f"Processing completed. Result: {result}", parent=self.root)
self.status_label.config(text="Ready")
except Exception as e:
messagebox.showerror("Process", f"Error during processing: {e}", parent=self.root)
self.status_label.config(text="Ready")
threading.Thread(target=worker, daemon=True).start()
scan_btn.config(command=run_scan)
# Other cards remain generic
# Custom Process card with optional limit
process_card = ttk.Frame(grid, padding="12", relief=tk.RIDGE)
process_card.grid(row=0, column=1, padx=8, pady=8, sticky="nsew")
ttk.Label(process_card, text="Process", font=("Arial", 12, "bold")).pack(anchor="w")
ttk.Label(process_card, text="Detect faces in photos", foreground="#666").pack(anchor="w", pady=(2, 8))
# Limit controls
limit_row = ttk.Frame(process_card)
limit_row.pack(fill=tk.X, pady=(0, 8))
limit_enabled = tk.BooleanVar(value=False)
ttk.Checkbutton(limit_row, text="limit to", variable=limit_enabled).pack(side=tk.LEFT)
limit_var = tk.StringVar(value="50")
limit_entry = ttk.Entry(limit_row, textvariable=limit_var, width=8)
limit_entry.pack(side=tk.LEFT, padx=(6, 0))
# Action button
process_btn = ttk.Button(process_card, text="Process photos")
process_btn.pack(anchor="w")
def run_process():
if not callable(self.on_process):
messagebox.showinfo("Process", "Process is not wired yet.", parent=root)
return
limit_value = None
if limit_enabled.get():
try:
limit_value = int(limit_var.get().strip())
if limit_value <= 0:
raise ValueError
except Exception:
messagebox.showerror("Process", "Please enter a valid positive integer for limit.", parent=root)
return
def worker():
try:
process_btn.config(state=tk.DISABLED)
result = self.on_process(limit_value)
messagebox.showinfo("Process", f"Processing completed. Result: {result}", parent=root)
except Exception as e:
messagebox.showerror("Process", f"Error during processing: {e}", parent=root)
finally:
try:
process_btn.config(state=tk.NORMAL)
except Exception:
pass
threading.Thread(target=worker, daemon=True).start()
process_btn.config(command=run_process)
# Custom Identify card with show faces and batch options
identify_card = ttk.Frame(grid, padding="12", relief=tk.RIDGE)
identify_card.grid(row=0, column=2, padx=8, pady=8, sticky="nsew")
ttk.Label(identify_card, text="Identify", font=("Arial", 12, "bold")).pack(anchor="w")
ttk.Label(identify_card, text="Identify faces (GUI)", foreground="#666").pack(anchor="w", pady=(2, 8))
# Show faces checkbox
show_faces_var = tk.BooleanVar(value=False)
ttk.Checkbutton(identify_card, text="show faces", variable=show_faces_var).pack(anchor="w", pady=(0, 4))
# Batch controls
batch_row = ttk.Frame(identify_card)
batch_row.pack(fill=tk.X, pady=(0, 8))
batch_enabled = tk.BooleanVar(value=True)
ttk.Checkbutton(batch_row, text="batch", variable=batch_enabled).pack(side=tk.LEFT)
batch_var = tk.StringVar(value="10")
batch_entry = ttk.Entry(batch_row, textvariable=batch_var, width=8)
batch_entry.pack(side=tk.LEFT, padx=(6, 0))
# Action button
identify_btn = ttk.Button(identify_card, text="Identify faces")
identify_btn.pack(anchor="w")
def run_identify():
if not callable(self.on_identify):
messagebox.showinfo("Identify", "Identify is not wired yet.", parent=root)
return
batch_value = None
if batch_enabled.get():
try:
batch_value = int(batch_var.get().strip())
if batch_value <= 0:
raise ValueError
except Exception:
messagebox.showerror("Identify", "Please enter a valid positive integer for batch.", parent=root)
return
def worker():
try:
identify_btn.config(state=tk.DISABLED)
result = self.on_identify(batch_value, show_faces_var.get())
messagebox.showinfo("Identify", f"Identification completed. Result: {result}", parent=root)
except Exception as e:
messagebox.showerror("Identify", f"Error during identification: {e}", parent=root)
finally:
try:
identify_btn.config(state=tk.NORMAL)
except Exception:
pass
threading.Thread(target=worker, daemon=True).start()
identify_btn.config(command=run_identify)
add_card(1, 0, "Auto-Match", "Find & confirm matches (GUI)", "Open Auto-Match")
add_card(1, 1, "Search", "Find photos by name (GUI)", "Open Search")
add_card(1, 2, "Modify Identified", "View/modify identified faces (GUI)", "Open Modify")
add_card(2, 0, "Tag Manager", "Manage tags and photos (GUI)", "Open Tag Manager")
# Close button
footer = ttk.Frame(main)
footer.pack(fill=tk.X, pady=(12, 0))
ttk.Button(footer, text="Close", command=lambda: root.destroy()).pack(side=tk.RIGHT)
root.update_idletasks()
self.gui_core.center_window(root, 900, 600)
root.deiconify()
root.mainloop()
return 0
threading.Thread(target=worker, daemon=True).start()