text_integration.py

from PIL import Image, ImageDraw, ImageFont
import gradio as gr
import numpy as np
import cv2

def add_text_to_image(image, text, text_x, text_y, font_size="80px", font_family="Standard", font_color="Weiß"):
    """Fügt Text mit OpenCV zum Bild hinzu - garantiert skalierbar!"""
    if image is None or not text:
        return image
        
    try:
        # Konvertiere PIL Image zu OpenCV Format
        if isinstance(image, np.ndarray):
            opencv_image = image
        else:
            opencv_image = np.array(image)
            opencv_image = cv2.cvtColor(opencv_image, cv2.COLOR_RGB2BGR)
        
        # Schriftgröße
        try:
            pixel_size = int(font_size.replace("px", ""))
            # OpenCV Font-Skala anpassen (empirische Werte)
            font_scale = pixel_size / 30.0
        except:
            font_scale = 2.0
        
        # Schriftfarbe
        color_mapping = {
            "Weiß": (255, 255, 255),
            "Schwarz": (0, 0, 0),
            "Rot": (0, 0, 255)
        }
        actual_color = color_mapping.get(font_color, (255, 255, 255))
        
        # OpenCV Font basierend auf Auswahl
        font_mapping = {
            "Standard": cv2.FONT_HERSHEY_SIMPLEX,
            "Einfache Handschrift": cv2.FONT_HERSHEY_SCRIPT_SIMPLEX,
            "Verschnörkelte Handschrift": cv2.FONT_HERSHEY_SCRIPT_COMPLEX
        }
        
        font = font_mapping.get(font_family, cv2.FONT_HERSHEY_SIMPLEX)
        thickness = max(2, int(pixel_size / 20))
        
        print(f"OpenCV Text: '{text}' an ({text_x}, {text_y}) - Schrift: {font_family}, Größe: {font_scale:.2f}, Dicke: {thickness}")
        
        # Text mit OpenCV hinzufügen
        cv2.putText(
            opencv_image, 
            text, 
            (int(text_x), int(text_y)), 
            font, 
            font_scale, 
            actual_color, 
            thickness, 
            cv2.LINE_AA
        )
        
        # Zurück zu PIL Format
        result_image = cv2.cvtColor(opencv_image, cv2.COLOR_BGR2RGB)
        return Image.fromarray(result_image)
        
    except Exception as e:
        print(f"Fehler beim Text hinzufügen mit OpenCV: {e}")
        # Fallback zu PIL
        try:
            if isinstance(image, np.ndarray):
                image = Image.fromarray(image)
            image_with_text = image.copy()
            draw = ImageDraw.Draw(image_with_text)
            draw.text((text_x, text_y), text, fill="white")
            return image_with_text
        except:
            return image

def create_text_preview(image, text, text_x, text_y, font_size="80px", font_family="Standard", font_color="Weiß"):
    """Vorschau mit OpenCV"""
    if image is None:
        return image
        
    try:
        # Zu OpenCV konvertieren
        if isinstance(image, np.ndarray):
            opencv_image = image
        else:
            opencv_image = np.array(image)
            opencv_image = cv2.cvtColor(opencv_image, cv2.COLOR_RGB2BGR)
        
        preview = opencv_image.copy()
        
        # Rote Marker
        if text and text_x is not None and text_y is not None and (text_x != 100 or text_y != 100):
            cv2.circle(preview, (int(text_x), int(text_y)), 8, (0, 0, 255), -1)
        
        # Text zeichnen
        if text:
            try:
                pixel_size = int(font_size.replace("px", ""))
                font_scale = pixel_size / 30.0
            except:
                font_scale = 2.0
            
            color_mapping = {
                "Weiß": (255, 255, 255),
                "Schwarz": (0, 0, 0),
                "Rot": (0, 0, 255)
            }
            actual_color = color_mapping.get(font_color, (255, 255, 255))
            
            # OpenCV Font basierend auf Auswahl
            font_mapping = {
                "Standard": cv2.FONT_HERSHEY_SIMPLEX,
                "Einfache Handschrift": cv2.FONT_HERSHEY_SCRIPT_SIMPLEX,
                "Verschnörkelte Handschrift": cv2.FONT_HERSHEY_SCRIPT_COMPLEX
            }
            
            font = font_mapping.get(font_family, cv2.FONT_HERSHEY_SIMPLEX)
            thickness = max(2, int(pixel_size / 20))
            
            cv2.putText(
                preview, 
                text, 
                (int(text_x), int(text_y)), 
                font, 
                font_scale, 
                actual_color, 
                thickness, 
                cv2.LINE_AA
            )
            
            print(f"OpenCV Vorschau: Schrift {font_family}, Größe {font_scale:.2f}")
        
        # Zurück zu PIL
        result_image = cv2.cvtColor(preview, cv2.COLOR_BGR2RGB)
        return Image.fromarray(result_image)
        
    except Exception as e:
        print(f"Fehler bei OpenCV Vorschau: {e}")
        return image

def update_text_preview_i2i(original_image, generated_image, text, text_x, text_y, font_size, font_family, font_color, target_selector):
    """Aktualisiert die Text-Vorschau für Bild-zu-Bild mit Formatierung"""
    if target_selector == "Originalbild":
        target_image = original_image
    else:
        target_image = generated_image
    
    print(f"Update Vorschau I2I - Größe: {font_size}, Schrift: {font_family}, Farbe: {font_color}, Ziel: {target_selector}")
    return create_text_preview(target_image, text, text_x, text_y, font_size, font_family, font_color)

def update_text_preview_t2i(image, text, text_x, text_y, font_size, font_family, font_color):
    """Aktualisiert die Text-Vorschau für Text-zu-Bild mit Formatierung"""
    print(f"Update Vorschau T2I - Größe: {font_size}, Schrift: {font_family}, Farbe: {font_color}")
    return create_text_preview(image, text, text_x, text_y, font_size, font_family, font_color)

def capture_click(event: gr.SelectData):
    """Handhabt Klicks in beiden Tabs"""
    if event and hasattr(event, 'index'):
        print(f"🎯 CLICK ERFOLGREICH: ({event.index[0]}, {event.index[1]})")
        return event.index[0], event.index[1]
    return 100, 100

def create_text_integration_section_t2i():
    """Erstellt die UI-Komponenten für Text-Integration in Text-zu-Bild"""
    
    with gr.Row():
        gr.Markdown("### 📝 Text auf Bild integrieren")
    
    with gr.Row():
        text_input_t2i = gr.Textbox(
            label="Text eingeben",
            placeholder="Dein Text hier...",
            max_lines=2,
            scale=3
        )
        
    with gr.Row():
        with gr.Column():
            font_size_t2i = gr.Dropdown(
                choices=["120px", "80px", "40px"],
                value="80px",
                label="Schriftgröße"
            )
        with gr.Column():
            font_family_t2i = gr.Dropdown(
                choices=["Standard", "Einfache Handschrift", "Verschnörkelte Handschrift"],
                value="Standard", 
                label="Schriftart"
            )
        with gr.Column():
            font_color_t2i = gr.Dropdown(
                choices=["Weiß", "Schwarz", "Rot"],
                value="Weiß",
                label="Schriftfarbe"
            )
        
    with gr.Row():
        text_x_t2i = gr.Number(value=None, visible=False)
        text_y_t2i = gr.Number(value=None, visible=False)
        
    with gr.Row():
        text_btn_t2i = gr.Button("📝 Text auf generiertes Bild", variant="secondary")
    
    return text_input_t2i, text_x_t2i, text_y_t2i, font_size_t2i, font_family_t2i, font_color_t2i, text_btn_t2i

def create_text_integration_section_i2i():
    """Erstellt die UI-Komponenten für Text-Integration in Bild-zu-Bild"""
    
    with gr.Row():
        gr.Markdown("### 📝 Text auf Bild integrieren")
    
    with gr.Row():
        text_input_i2i = gr.Textbox(
            label="Text eingeben",
            placeholder="Dein Text hier...",
            max_lines=2,
            scale=3
        )
        
    with gr.Row():
        text_x_i2i = gr.Number(value=None, visible=False)
        text_y_i2i = gr.Number(value=None, visible=False)
        
    with gr.Row():
        target_selector = gr.Radio(
            choices=["Originalbild", "Generiertes Bild"],
            value="Generiertes Bild",
            label="Text auf welchem Bild?",
            scale=2
        )
        
    with gr.Row():
        text_btn_i2i = gr.Button("📝 Text integrieren", variant="secondary")
    
    return text_input_i2i, text_x_i2i, text_y_i2i, target_selector, text_btn_i2i