From 5e1e7e294732ca27832f675e206c1103aa5103ab Mon Sep 17 00:00:00 2001
From: antoinewg <antoinewg@targointernet.com>
Date: Wed, 15 Apr 2026 14:50:25 -0400
Subject: [PATCH] d

---
 Photo_heure copy 3.py | 135 ------------------------------------------
 1 file changed, 135 deletions(-)
 delete mode 100644 Photo_heure copy 3.py

diff --git a/Photo_heure copy 3.py b/Photo_heure copy 3.py
deleted file mode 100644
index 25e65b8..0000000
--- a/Photo_heure copy 3.py	
+++ /dev/null
@@ -1,135 +0,0 @@
-import os
-import shutil
-from datetime import datetime
-import google.generativeai as genai
-import PIL.Image
-import time
-
-# --------------------- CONFIGURATION lol ---------------------
-photo_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\photo a organiser"
-dossier_folder = r"C:\Users\Antoine\PycharmProjects\PHOTO\dossier"
-
-genai.configure(api_key="AIzaSyDq2LmX_fwKGAwxGAtmBfX940vT2wDQzBU")
-model = genai.GenerativeModel('models/gemini-2.5-flash') 
-
-if not os.path.exists(dossier_folder):
-    os.makedirs(dossier_folder)
-
-# --------------------- FONCTIONS ---------------------
-def get_time_from_filename(filename):
-    try:
-        base = os.path.splitext(filename)[0]
-        parts = base.split("_")
-        time_part = parts[-1] 
-        return datetime.strptime(time_part, "%H%M%S")
-    except Exception:
-        return None
-
-def analyze_group_photos(group_paths):
-    """
-    Envoie les images et demande de lier les valeurs aux noms de fichiers.
-    """
-    prompt = (
-        "Analyze these images one by one. For each image, if you see a 6-character Barcode "
-        "or a 5-character LCLC, identify it.\n"
-        "Return the results in this exact format for each relevant file:\n"
-        "FILENAME: [filename], TYPE: [BARCODE or LCLC], VALUE: [value]\n"
-        "If a file has nothing, don't list it."
-    )
-    
-    content = [prompt]
-    
-    # On ouvre les images (avec gestion de fermeture automatique)
-    images_to_close = []
-    for path in group_paths:
-        img = PIL.Image.open(path)
-        content.append(f"Filename: {os.path.basename(path)}")
-        content.append(img)
-        images_to_close.append(img)
-
-    try:
-        # Note: Utilisez 'gemini-1.5-flash' car 2.5 n'existe pas encore
-        response = model.generate_content(content)
-        res_text = response.text
-        print(f"--- Gemini Analysis ---\n{res_text}\n-----------------------")
-        
-        # Fermeture des images pour libérer les fichiers
-        for i in images_to_close: i.close()
-        
-        return res_text
-    except Exception as e:
-        print(f"Error calling Gemini: {e}")
-        return ""
-
-# --------------------- TRAITEMENT ---------------------
-photos_raw = [f for f in os.listdir(photo_folder) if f.lower().endswith((".jpg", ".jpeg", ".png"))]
-photo_times = []
-
-for photo in photos_raw:
-    time_obj = get_time_from_filename(photo)
-    if time_obj:
-        photo_times.append((photo, time_obj))
-
-photo_times.sort(key=lambda x: x[1])
-
-groups = []
-for photo, time_obj in photo_times:
-    if not groups:
-        groups.append({"photos": [photo], "reference_time": time_obj})
-    else:
-        current_group = groups[-1]
-        difference = abs((time_obj - current_group["reference_time"]).total_seconds())
-        if difference <= 60:
-            current_group["photos"].append(photo)
-            current_group["reference_time"] = time_obj
-        else:
-            groups.append({"photos": [photo], "reference_time": time_obj})
-
-# --------------------- ANALYSE ET RENOMMAGE ---------------------
-for i, group in enumerate(groups, start=1):
-    print(f"Analyzing Group {i}...")
-    group_paths = [os.path.join(photo_folder, p) for p in group["photos"]]
-    analysis_result = analyze_group_photos(group_paths)
-    
-    group_folder_path = os.path.join(dossier_folder, str(i))
-    os.makedirs(group_folder_path, exist_ok=True)
-
-    # Créer un dictionnaire pour mapper Filename -> NouveauNom
-    # Exemple: {"IMG_123.jpg": "ABC123.jpg"}
-    filename_mapping = {}
-    
-    # Parsing de la réponse de Gemini
-    for line in analysis_result.splitlines():
-        if "FILENAME:" in line and "VALUE:" in line:
-            try:
-                fname = line.split("FILENAME:")[1].split(",")[0].strip()
-                vtype = line.split("TYPE:")[1].split(",")[0].strip()
-                val = line.split("VALUE:")[1].strip()
-                
-                # 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)
\ No newline at end of file