Téléverser les fichiers vers "/"
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108
Photo_heure.py
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108
Photo_heure.py
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import os
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import shutil
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from datetime import datetime
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import google.generativeai as genai
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import PIL.Image
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# ---------------------
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# CONFIGURATION
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# ---------------------
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photo_folder = "C:\\Users\\Antoine\\PycharmProjects\\PHOTO\\photo a organiser"
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dossier_folder = "C:\\Users\\Antoine\\PycharmProjects\\PHOTO\\dossier"
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genai.configure(api_key="VOTRE_CLE_API")
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model = genai.GenerativeModel('gemini-1.5-flash')
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# Créer le dossier de sortie s'il n'existe pas
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if not os.path.exists(dossier_folder):
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os.makedirs(dossier_folder)
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# ---------------------
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# FONCTION POUR EXTRAIRE L'HEURE DEPUIS LE NOM DE FICHIER
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# ---------------------
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def get_time_from_filename(filename):
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try:
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base = os.path.splitext(filename)[0] # on met les filename dans la base
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parts = base.split("_")
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time_part = parts[1]
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time_obj = datetime.strptime(time_part, "%H%M%S") # on traite l'infor en temps
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return time_obj
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except Exception as e:
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print(f"Impossible d'extraire l'heure de {filename}: {e}")
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return None
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# ---------------------
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# LISTER ET TRIER LES PHOTOS PAR HEURE
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# ---------------------
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photos_raw = [f for f in os.listdir(photo_folder) if f.lower().endswith(".jpg")]
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photo_times = []
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for photo in photos_raw:
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time_obj = get_time_from_filename(photo)
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if time_obj:
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photo_times.append((photo, time_obj))
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else:
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print(f"Photo ignorée (nom invalide) : {photo}")
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photo_times.sort(key=lambda x: x[1]) # faire un sort pour mettre l'heure du plus jeune au plus vieux.
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# ---------------------
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# GROUPEMENT PAR MINUTE
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# ---------------------
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groups = []
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for photo, time_obj in photo_times:
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heure_lisible = time_obj.strftime("%H:%M:%S") # met le texte lisible
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print(f" {photo} → {heure_lisible}")
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if not groups:
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groups.append({"photos": [photo], "reference": time_obj})
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img = PIL.Image.open("photos")
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response = model.generate_content(["Retourne moi unqiuement les lettres et les chiffres de cette image, uniquement sur le code barre",img
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groups.append({"photos": [photo], "reference": time_obj})
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])
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print(f" → Nouveau groupe 1 (référence : {heure_lisible})")
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else:
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current_group = groups[-1]
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reference_time = current_group["reference"]
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difference = abs((time_obj - reference_time).total_seconds()) # on soustrait la reference of temps de référence
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if difference <= 60:
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current_group["photos"].append(photo)
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print(f" → Ajouté au groupe {len(groups)} (écart : {difference:.0f}s)")
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else:
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groups.append({"photos": [photo], "reference": time_obj})
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print(f" → Nouveau groupe {len(groups)} (référence : {heure_lisible})")
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# ---------------------
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# FUSIONNER LES GROUPES AVEC UNE SEULE PHOTO
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# ---------------------
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merged_groups = []
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for i, group in enumerate(groups):
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if len(group["photos"]) == 1 and merged_groups:
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# Une seule photo → on la fusionne dans le groupe précédent
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photo = group["photos"][0]
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merged_groups[-1]["photos"].append(photo)
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print(f" Photo seule '{photo}' fusionnée dans le groupe précédent")
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else:
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merged_groups.append(group)
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groups = merged_groups
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# ---------------------
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# CRÉER LES DOSSIERS NUMÉROTÉS ET DÉPLACER LES PHOTOS
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# ---------------------
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for i, group in enumerate(groups, start=1):
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group_folder = os.path.join(dossier_folder, str(i))
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os.makedirs(group_folder, exist_ok=True)
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ref_time = group["reference"].strftime("%H:%M:%S")
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print(f"\nGroupe {i} (référence : {ref_time}) → dossier '{i}'")
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for photo in group["photos"]:
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src = os.path.join(photo_folder, photo)
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dst = os.path.join(group_folder, photo)
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shutil.move(src, dst)
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print(f" Déplacé : {photo}")
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print("\nRegroupement terminé !")
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109
Photo_heure_dossier_dans_dossier.py
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Photo_heure_dossier_dans_dossier.py
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import os
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import shutil
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from datetime import datetime
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import google.generativeai as genai
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import PIL.Image
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# --------------------- CONFIGURATION ---------------------
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photo_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\photo a organiser"
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dossier_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\dossier"
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# REMPLACER PAR VOTRE CLÉ
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genai.configure(api_key="AIzaSyDq2LmX_fwKGAwxGAtmBfX940vT2wDQzBU")
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# Gemini 1.5 Flash is excellent for OCR/Barcodes
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model = genai.GenerativeModel('models/gemini-2.5-flash')
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if not os.path.exists(dossier_folder):
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os.makedirs(dossier_folder)
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# --------------------- FONCTIONS ---------------------
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def get_time_from_filename(filename):
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try:
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# Supposant un format : QuelqueChose_123045.jpg (HHMMSS)
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base = os.path.splitext(filename)[0]
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parts = base.split("_")
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time_part = parts[-1] # On prend la dernière partie avant l'extension
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return datetime.strptime(time_part, "%H%M%S")
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except Exception:
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return None
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def read_barcode(photo_path):
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"""
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Détecte le contenu d'un code-barre.
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Retourne la valeur ou 'inconnu' s'il n'y en a pas.
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"""
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try:
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with PIL.Image.open(photo_path) as img:
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response = model.generate_content([
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"Retourne uniquement le texte ou les chiffres du code-barre présent sur l'image. "
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"Si aucun code-barre n'est visible, répond 'inconnu'.",
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img
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])
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res = response.text.strip().lower()
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if "inconnu" in res or len(res) > 50: # Sécurité si le modèle divague
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return "inconnu"
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return response.text.strip().replace(" ", "")
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except Exception as e:
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print(f"Erreur lors de la lecture de {photo_path} : {e}")
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return "inconnu"
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# --------------------- TRAITEMENT ---------------------
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photos_raw = [f for f in os.listdir(photo_folder) if f.lower().endswith((".jpg", ".jpeg", ".png"))]
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photo_times = []
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for photo in photos_raw:
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time_obj = get_time_from_filename(photo)
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if time_obj:
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photo_times.append((photo, time_obj))
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# Trier par heure
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photo_times.sort(key=lambda x: x[1])
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groups = []
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for photo, time_obj in photo_times:
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if not groups:
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groups.append({"photos": [photo], "reference_time": time_obj})
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else:
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current_group = groups[-1]
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# On compare avec la dernière photo du groupe actuel
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difference = abs((time_obj - current_group["reference_time"]).total_seconds())
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if difference <= 60:
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current_group["photos"].append(photo)
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current_group["reference_time"] = time_obj # Update reference to the latest photo
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else:
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groups.append({"photos": [photo], "reference_time": time_obj})
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# --------------------- DÉPLACEMENT ET SOUS-DOSSIERS ---------------------
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for i, group in enumerate(groups, start=1):
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# Dossier principal pour le groupe (ex: Dossier_1)
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group_folder_name = f"{i}"
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group_folder_path = os.path.join(dossier_folder, group_folder_name)
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os.makedirs(group_folder_path, exist_ok=True)
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print(f"Traitement du groupe {i} ({len(group['photos'])} photos)...")
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for photo_name in group["photos"]:
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src_path = os.path.join(photo_folder, photo_name)
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# Vérifier si CETTE photo est un code-barre
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barcode_value = read_barcode(src_path)
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if barcode_value != "inconnu":
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# Nettoyage du nom pour Windows
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barcode_clean = "".join(c for c in barcode_value if c.isalnum() or c in "-_").strip()
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# Création du SOUS-DOSSIER dans le dossier du groupe
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subfolder_path = os.path.join(group_folder_path, barcode_clean)
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os.makedirs(subfolder_path, exist_ok=True)
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dst_path = os.path.join(subfolder_path, photo_name)
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print(f" -> Code-barre détecté ({barcode_clean}), déplacé dans sous-dossier.")
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else:
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# Photo normale, reste à la racine du dossier groupe
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dst_path = os.path.join(group_folder_path, photo_name)
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shutil.move(src_path, dst_path)
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print("\nOpération terminée avec succès !")
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92
Photo_heure_dossier_nommer.py
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92
Photo_heure_dossier_nommer.py
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import os
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import shutil
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from datetime import datetime
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import google.generativeai as genai
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import PIL.Image
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# --------------------- CONFIGURATION ---------------------
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# Utilisation de r"" pour les chemins Windows
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photo_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\photo a organiser"
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dossier_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\dossier"
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# REMPLACER PAR VOTRE NOUVELLE CLÉ
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genai.configure(api_key="AIzaSyDq2LmX_fwKGAwxGAtmBfX940vT2wDQzBU")
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for m in genai.list_models():
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if 'generateContent' in m.supported_generation_methods:
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print(m.name)
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model = genai.GenerativeModel('models/gemini-2.5-flash') # 1.5 est plus stable pour l'OCR
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if not os.path.exists(dossier_folder):
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os.makedirs(dossier_folder)
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# --------------------- FONCTIONS ---------------------
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def get_time_from_filename(filename):
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try:
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# Supposant un format : QuelqueChose_123045.jpg (HHMMSS)
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base = os.path.splitext(filename)[0]
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parts = base.split("_")
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time_part = parts[1]
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return datetime.strptime(time_part, "%H%M%S")
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except Exception as e:
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return None
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def read_barcode(photo_path):
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try:
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# Utiliser 'with' permet de fermer l'image AUTOMATIQUEMENT après la lecture
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with PIL.Image.open(photo_path) as img:
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response = model.generate_content([
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"Retourne uniquement le texte ou les chiffres du code-barre. "
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"Si aucun code-barre n'est visible, répond 'inconnu'.",
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img
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])
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return response.text.strip().replace(" ", "")
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except Exception as e:
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print(f"Erreur lors de la lecture : {e}")
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return "erreur_lecture"
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# --------------------- TRAITEMENT ---------------------
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photos_raw = [f for f in os.listdir(photo_folder) if f.lower().endswith(".jpg")]
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photo_times = []
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for photo in photos_raw:
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time_obj = get_time_from_filename(photo)
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if time_obj:
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photo_times.append((photo, time_obj))
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photo_times.sort(key=lambda x: x[1])
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groups = []
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for photo, time_obj in photo_times:
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full_path = os.path.join(photo_folder, photo)
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if not groups:
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barcode = read_barcode(full_path)
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groups.append({"photos": [photo], "reference_time": time_obj, "barcode": barcode})
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else:
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current_group = groups[-1]
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# Comparaison avec la dernière photo ajoutée pour plus de souplesse
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difference = abs((time_obj - current_group["reference_time"]).total_seconds())
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if difference <= 60:
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current_group["photos"].append(photo)
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else:
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barcode = read_barcode(full_path)
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groups.append({"photos": [photo], "reference_time": time_obj, "barcode": barcode})
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# --------------------- DÉPLACEMENT ---------------------
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for i, group in enumerate(groups, start=1):
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barcode = group["barcode"]
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# Nettoyage pour nom de dossier Windows valide
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barcode_clean = "".join(c for c in barcode if c.isalnum() or c in "-_").strip()
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# Format demandé : 1_CodeBarre
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folder_name = f"{i}_{barcode_clean}" if barcode_clean else str(i)
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group_folder = os.path.join(dossier_folder, folder_name)
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os.makedirs(group_folder, exist_ok=True)
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for photo in group["photos"]:
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src = os.path.join(photo_folder, photo)
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dst = os.path.join(group_folder, photo)
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shutil.move(src, dst)
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print("\nRegroupement et déplacement terminés !")
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135
Photo_heure_photo_nommer.py
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135
Photo_heure_photo_nommer.py
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import os
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import shutil
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from datetime import datetime
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import google.generativeai as genai
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import PIL.Image
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import time
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# --------------------- CONFIGURATION ---------------------
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photo_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\photo a organiser"
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dossier_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\dossier"
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genai.configure(api_key="AIzaSyDq2LmX_fwKGAwxGAtmBfX940vT2wDQzBU")
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model = genai.GenerativeModel('models/gemini-2.5-flash')
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if not os.path.exists(dossier_folder):
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os.makedirs(dossier_folder)
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# --------------------- FONCTIONS ---------------------
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def get_time_from_filename(filename):
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try:
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base = os.path.splitext(filename)[0]
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parts = base.split("_")
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time_part = parts[-1]
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return datetime.strptime(time_part, "%H%M%S")
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except Exception:
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return None
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def analyze_group_photos(group_paths):
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"""
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Envoie les images et demande de lier les valeurs aux noms de fichiers.
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"""
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prompt = (
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"Analyze these images one by one. For each image, if you see a 6-character Barcode "
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"or a 5-character LCLC, identify it.\n"
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"Return the results in this exact format for each relevant file:\n"
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"FILENAME: [filename], TYPE: [BARCODE or LCLC], VALUE: [value]\n"
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"If a file has nothing, don't list it."
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)
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content = [prompt]
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# On ouvre les images (avec gestion de fermeture automatique)
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images_to_close = []
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for path in group_paths:
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img = PIL.Image.open(path)
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content.append(f"Filename: {os.path.basename(path)}")
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content.append(img)
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images_to_close.append(img)
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try:
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# Note: Utilisez 'gemini-1.5-flash' car 2.5 n'existe pas encore
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response = model.generate_content(content)
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res_text = response.text
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print(f"--- Gemini Analysis ---\n{res_text}\n-----------------------")
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# Fermeture des images pour libérer les fichiers
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for i in images_to_close: i.close()
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return res_text
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except Exception as e:
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print(f"Error calling Gemini: {e}")
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return ""
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# --------------------- TRAITEMENT ---------------------
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photos_raw = [f for f in os.listdir(photo_folder) if f.lower().endswith((".jpg", ".jpeg", ".png"))]
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photo_times = []
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for photo in photos_raw:
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time_obj = get_time_from_filename(photo)
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if time_obj:
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photo_times.append((photo, time_obj))
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photo_times.sort(key=lambda x: x[1])
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groups = []
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for photo, time_obj in photo_times:
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if not groups:
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groups.append({"photos": [photo], "reference_time": time_obj})
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else:
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current_group = groups[-1]
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difference = abs((time_obj - current_group["reference_time"]).total_seconds())
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if difference <= 60:
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current_group["photos"].append(photo)
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current_group["reference_time"] = time_obj
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else:
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groups.append({"photos": [photo], "reference_time": time_obj})
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# --------------------- ANALYSE ET RENOMMAGE ---------------------
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for i, group in enumerate(groups, start=1):
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print(f"Analyzing Group {i}...")
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group_paths = [os.path.join(photo_folder, p) for p in group["photos"]]
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analysis_result = analyze_group_photos(group_paths)
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group_folder_path = os.path.join(dossier_folder, str(i))
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os.makedirs(group_folder_path, exist_ok=True)
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# Créer un dictionnaire pour mapper Filename -> NouveauNom
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# Exemple: {"IMG_123.jpg": "ABC123.jpg"}
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filename_mapping = {}
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# Parsing de la réponse de Gemini
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for line in analysis_result.splitlines():
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if "FILENAME:" in line and "VALUE:" in line:
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try:
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fname = line.split("FILENAME:")[1].split(",")[0].strip()
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vtype = line.split("TYPE:")[1].split(",")[0].strip()
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val = line.split("VALUE:")[1].strip()
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# On vérifie la validité des données
|
||||
if (vtype == "BARCODE" and len(val) == 6) or (vtype == "LCLC" and len(val) == 5):
|
||||
filename_mapping[fname] = val
|
||||
except:
|
||||
continue
|
||||
|
||||
for photo_name in group["photos"]:
|
||||
src_path = os.path.join(photo_folder, photo_name)
|
||||
extension = os.path.splitext(photo_name)[1]
|
||||
|
||||
# On vérifie si Gemini a trouvé une valeur spécifique pour CE fichier
|
||||
if photo_name in filename_mapping:
|
||||
new_name = f"{filename_mapping[photo_name]}{extension}"
|
||||
else:
|
||||
# Sinon on garde le nom original
|
||||
new_name = photo_name
|
||||
|
||||
dst_path = os.path.join(group_folder_path, new_name)
|
||||
|
||||
# Gestion des doublons (si deux photos ont le même code)
|
||||
counter = 1
|
||||
base_name = os.path.splitext(new_name)[0]
|
||||
while os.path.exists(dst_path):
|
||||
dst_path = os.path.join(group_folder_path, f"{base_name}_{counter}{extension}")
|
||||
counter += 1
|
||||
|
||||
shutil.move(src_path, dst_path)
|
||||
54
delete_dossier.py
Normal file
54
delete_dossier.py
Normal file
|
|
@ -0,0 +1,54 @@
|
|||
import os
|
||||
import shutil
|
||||
|
||||
# ---------------------
|
||||
# CONFIGURATION
|
||||
# ---------------------
|
||||
dossier_folder = "C:\\Users\\Antoine\\PycharmProjects\\PHOTO\\dossier"
|
||||
|
||||
# ---------------------
|
||||
# INPUT
|
||||
# ---------------------
|
||||
user_input = input("Entrez le(s) numéro(s) de dossier à supprimer (ex: 2 ou 2,4,5) : ")
|
||||
to_delete = set(int(x.strip()) for x in user_input.split(","))
|
||||
|
||||
# ---------------------
|
||||
# LISTER LES DOSSIERS EXISTANTS TRIÉS
|
||||
# ---------------------
|
||||
existing = sorted(
|
||||
int(f) for f in os.listdir(dossier_folder)
|
||||
if os.path.isdir(os.path.join(dossier_folder, f)) and f.isdigit()
|
||||
)
|
||||
|
||||
# ---------------------
|
||||
# SUPPRIMER LES DOSSIERS DEMANDÉS
|
||||
# ---------------------
|
||||
for num in to_delete:
|
||||
folder_path = os.path.join(dossier_folder, str(num))
|
||||
if os.path.exists(folder_path):
|
||||
shutil.rmtree(folder_path)
|
||||
print(f"Dossier {num} supprimé.")
|
||||
else:
|
||||
print(f"Dossier {num} introuvable, ignoré.")
|
||||
|
||||
# ---------------------
|
||||
# RENOMMER LES DOSSIERS RESTANTS EN ORDRE
|
||||
# ---------------------
|
||||
remaining = sorted(
|
||||
int(f) for f in os.listdir(dossier_folder)
|
||||
if os.path.isdir(os.path.join(dossier_folder, f)) and f.isdigit()
|
||||
)
|
||||
|
||||
# Renommage en deux passes pour éviter les conflits (ex: 2→1 alors que 1 existe encore)
|
||||
temp_names = []
|
||||
for i, num in enumerate(remaining, start=1):
|
||||
old_path = os.path.join(dossier_folder, str(num))
|
||||
temp_path = os.path.join(dossier_folder, f"temp_{i}")
|
||||
os.rename(old_path, temp_path)
|
||||
temp_names.append((temp_path, os.path.join(dossier_folder, str(i))))
|
||||
|
||||
for temp_path, final_path in temp_names:
|
||||
os.rename(temp_path, final_path)
|
||||
print(f"Renommé : {os.path.basename(temp_path).replace('temp_', '')} → {os.path.basename(final_path)}")
|
||||
|
||||
print("\nSuppression et renumérotation terminées !")
|
||||
Loading…
Reference in New Issue
Block a user