Verbessere die Cover-Optimierung durch Anpassung der Größenprüfung und -anpassung für bessere Kompatibilität mit Apple Podcasts.
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109
fix_covers.py
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109
fix_covers.py
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#!/usr/bin/env python3
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"""
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Cover-Optimierungs-Tool
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Repariert alle Cover-Bilder im _audio-Verzeichnis für Apple Podcasts Kompatibilität.
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"""
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from pathlib import Path
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import urllib.parse
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def fix_all_covers(audio_dir="../httpdocs/_audio"):
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"""Optimiert alle Cover-Dateien im Audio-Verzeichnis."""
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try:
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from PIL import Image
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except ImportError:
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print("❌ PIL/Pillow nicht installiert!")
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print("💡 Installiere mit: uv add pillow")
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return False
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audio_path = Path(audio_dir)
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if not audio_path.exists():
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print(f"❌ Audio-Verzeichnis '{audio_dir}' existiert nicht!")
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return False
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# Finde alle Cover-Dateien
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cover_files = list(audio_path.glob("cover_*.jpg"))
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print(f"🖼️ {len(cover_files)} Cover-Dateien gefunden")
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if not cover_files:
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print("ℹ️ Keine Cover-Dateien zum Optimieren gefunden")
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return True
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fixed_count = 0
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for cover_file in cover_files:
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try:
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print(f"\n📋 Prüfe: {cover_file.name}")
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# Lade das Bild
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image = Image.open(cover_file)
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original_width, original_height = image.size
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print(f" 📐 Aktuelle Größe: {original_width}x{original_height}px")
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# Prüfe ob Optimierung nötig ist
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needs_fix = False
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if original_width < 1400 or original_height < 1400:
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print(f" ⚠️ Zu klein (< 1400px)")
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needs_fix = True
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elif original_width > 3000 or original_height > 3000:
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print(f" ⚠️ Zu groß (> 3000px)")
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needs_fix = True
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elif original_width != original_height:
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print(f" ⚠️ Nicht quadratisch")
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needs_fix = True
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if not needs_fix:
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print(f" ✅ Cover ist bereits optimal")
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continue
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# Bestimme Zielgröße
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if original_width < 1400 or original_height < 1400:
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target_size = 1400
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elif original_width > 3000 or original_height > 3000:
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target_size = 3000
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else:
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target_size = min(original_width, original_height)
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if target_size < 1400:
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target_size = 1400
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elif target_size > 3000:
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target_size = 3000
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print(f" 🎯 Zielgröße: {target_size}x{target_size}px")
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# Mache quadratisch falls nötig
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if original_width != original_height:
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size = min(original_width, original_height)
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left = (original_width - size) // 2
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top = (original_height - size) // 2
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right = left + size
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bottom = top + size
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image = image.crop((left, top, right, bottom))
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print(f" ✂️ Zugeschnitten auf quadratisch")
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# Skaliere auf Zielgröße
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image = image.resize((target_size, target_size), Image.Resampling.LANCZOS)
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# Konvertiere zu RGB falls nötig
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if image.mode in ('RGBA', 'LA', 'P'):
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background = Image.new('RGB', image.size, (255, 255, 255))
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if image.mode == 'P':
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image = image.convert('RGBA')
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background.paste(image, mask=image.split()[-1] if image.mode == 'RGBA' else None)
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image = background
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# Speichere optimiertes Cover
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image.save(cover_file, 'JPEG', quality=95, optimize=True)
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final_width, final_height = image.size
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print(f" ✅ Optimiert: {final_width}x{final_height}px")
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fixed_count += 1
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except Exception as e:
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print(f" ❌ Fehler bei {cover_file.name}: {e}")
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print(f"\n🎉 {fixed_count} von {len(cover_files)} Cover-Dateien optimiert!")
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return True
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if __name__ == "__main__":
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fix_all_covers()
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@ -132,36 +132,59 @@ class LocalPodcastGenerator:
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# Lade das Bild aus den Cover-Daten
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# Lade das Bild aus den Cover-Daten
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image = Image.open(io.BytesIO(metadata['cover_data']))
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image = Image.open(io.BytesIO(metadata['cover_data']))
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width, height = image.size
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original_width, original_height = image.size
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print(f" 📐 Original Cover-Größe: {original_width}x{original_height}px")
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# Apple Podcasts benötigt quadratische Cover zwischen 1400-3000px
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# Apple Podcasts benötigt quadratische Cover zwischen 1400-3000px
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if width < 1400 or height < 1400:
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# Wähle Zielgröße basierend auf Originalgröße
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print(f" ⚠️ Cover zu klein ({width}x{height}px), skaliere auf 1400x1400px")
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if original_width < 1400 or original_height < 1400:
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image = image.resize((1400, 1400), Image.Resampling.LANCZOS)
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target_size = 1400
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elif width > 3000 or height > 3000:
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print(f" ⚠️ Cover zu klein, skaliere auf {target_size}x{target_size}px")
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print(f" ⚠️ Cover zu groß ({width}x{height}px), skaliere auf 3000x3000px")
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elif original_width > 3000 or original_height > 3000:
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image = image.resize((3000, 3000), Image.Resampling.LANCZOS)
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target_size = 3000
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elif width != height:
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print(f" ⚠️ Cover zu groß, skaliere auf {target_size}x{target_size}px")
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print(f" ⚠️ Cover nicht quadratisch ({width}x{height}px), schneide zu")
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else:
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size = min(width, height)
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# Cover ist in akzeptabler Größe, mache es quadratisch
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image = image.crop(((width-size)//2, (height-size)//2, (width+size)//2, (height+size)//2))
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target_size = min(original_width, original_height)
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if target_size < 1400:
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target_size = 1400
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elif target_size > 3000:
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target_size = 3000
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print(f" ✓ Cover-Größe OK, mache quadratisch: {target_size}x{target_size}px")
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# Mache das Bild quadratisch (schneide zu oder fülle auf)
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if original_width != original_height:
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size = min(original_width, original_height)
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left = (original_width - size) // 2
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top = (original_height - size) // 2
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right = left + size
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bottom = top + size
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image = image.crop((left, top, right, bottom))
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print(f" ✂️ Bild zugeschnitten auf quadratisch: {size}x{size}px")
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# Skaliere auf Zielgröße
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image = image.resize((target_size, target_size), Image.Resampling.LANCZOS)
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# Konvertiere zu RGB falls nötig (für JPEG)
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if image.mode in ('RGBA', 'LA', 'P'):
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background = Image.new('RGB', image.size, (255, 255, 255))
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if image.mode == 'P':
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image = image.convert('RGBA')
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background.paste(image, mask=image.split()[-1] if image.mode == 'RGBA' else None)
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image = background
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# Speichere das optimierte Cover
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# Speichere das optimierte Cover
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image.save(cover_path, 'JPEG', quality=95, optimize=True)
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image.save(cover_path, 'JPEG', quality=95, optimize=True)
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print(f" 🖼️ Cover optimiert und gespeichert: {cover_filename} ({image.size[0]}x{image.size[1]}px)")
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final_width, final_height = image.size
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print(f" 🖼️ Cover optimiert und gespeichert: {cover_filename} ({final_width}x{final_height}px)")
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except ImportError:
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except ImportError:
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print(" ⚠️ PIL/Pillow nicht installiert - Cover wird ohne Optimierung gespeichert")
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print(" ❌ PIL/Pillow nicht installiert - kann Cover nicht optimieren!")
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# Fallback: Speichere Cover ohne Optimierung
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print(" 💡 Installiere mit: uv add pillow")
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with open(cover_path, 'wb') as f:
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return None
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f.write(metadata['cover_data'])
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print(f" 🖼️ Cover gespeichert: {cover_filename} (unoptimiert)")
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except Exception as img_error:
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except Exception as img_error:
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print(f" ⚠️ Fehler bei Cover-Optimierung: {img_error}")
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print(f" ❌ Fehler bei Cover-Optimierung: {img_error}")
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# Fallback: Speichere Cover ohne Optimierung
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return None
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with open(cover_path, 'wb') as f:
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f.write(metadata['cover_data'])
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print(f" 🖼️ Cover gespeichert: {cover_filename} (unoptimiert)")
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# Rückgabe der URL zum Cover (URL-encoded für korrekte Links)
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# Rückgabe der URL zum Cover (URL-encoded für korrekte Links)
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cover_url = f"{self.base_url}/_audio/{urllib.parse.quote(cover_filename)}"
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cover_url = f"{self.base_url}/_audio/{urllib.parse.quote(cover_filename)}"
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