init

.gitignore

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+venv
+
+build
+dist
+*.spec
+
+*~lock*
+file*
+
+*.exe

main.py

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+import os
+import hashlib
+import sqlite3
+import argparse
+import logging
+from PIL import Image, ImageFile
+from io import BytesIO
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from tqdm import tqdm
+import threading
+
+ImageFile.LOAD_TRUNCATED_IMAGES = True
+
+DB_NAME = "compressed_images.db"
+LOG_FILE = "compression.log"
+TARGET_SIZE_MB = 1.5
+MIN_SIZE_MB = 1.0
+THREADS = os.cpu_count() or 4
+LOCK = threading.Lock()
+
+stats = {
+    "total": 0,
+    "skipped": 0,
+    "already_done": 0,
+    "compressed": 0,
+    "original_bytes": 0,
+    "compressed_bytes": 0,
+}
+
+
+def init_logging():
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(asctime)s [%(levelname)s] %(message)s",
+        handlers=[
+            logging.FileHandler(LOG_FILE, mode="w", encoding="utf-8"),
+            logging.StreamHandler(),
+        ],
+    )
+
+
+def init_db():
+    conn = sqlite3.connect(DB_NAME)
+    with conn:
+        conn.execute(
+            """
+            CREATE TABLE IF NOT EXISTS compressed_images (
+                hash TEXT PRIMARY KEY
+            )
+        """
+        )
+    conn.close()
+
+
+def calculate_hash(file_path):
+    hasher = hashlib.sha256()
+    with open(file_path, "rb") as f:
+        for chunk in iter(lambda: f.read(65536), b""):
+            hasher.update(chunk)
+    return hasher.hexdigest()
+
+
+def is_already_compressed(file_hash):
+    with LOCK:
+        conn = sqlite3.connect(DB_NAME)
+        cur = conn.cursor()
+        cur.execute(
+            "SELECT 1 FROM compressed_images WHERE hash = ?", (file_hash,)
+        )
+        result = cur.fetchone()
+        conn.close()
+    return result is not None
+
+
+def mark_as_compressed(file_hash):
+    with LOCK:
+        conn = sqlite3.connect(DB_NAME)
+        conn.execute(
+            "INSERT OR IGNORE INTO compressed_images (hash) VALUES (?)",
+            (file_hash,),
+        )
+        conn.commit()
+        conn.close()
+
+
+def compress_image(file_path):
+    try:
+        stats["total"] += 1
+        original_size = os.path.getsize(file_path)
+        size_mb = original_size / (1024 * 1024)
+
+        if size_mb < MIN_SIZE_MB:
+            stats["skipped"] += 1
+            return f"Пропущено (<1MB): {file_path}"
+
+        file_hash = calculate_hash(file_path)
+        if is_already_compressed(file_hash):
+            stats["already_done"] += 1
+            return f"Пропущено (уже обработано): {file_path}"
+
+        img = Image.open(file_path)
+        img_format = img.format
+        img_exif = img.info.get("exif", None)
+
+        # Поддержка только RGB/RGBA для webp
+        if img.mode not in ["RGB", "RGBA"]:
+            img = img.convert("RGB")
+
+        quality = 95
+        step = 5
+        buffer = BytesIO()
+
+        while quality > 10:
+            buffer.seek(0)
+            buffer.truncate()
+            try:
+                img.save(
+                    buffer,
+                    format=img_format,
+                    quality=quality,
+                    optimize=True,
+                    exif=img_exif,
+                )
+            except Exception:
+                img.save(
+                    buffer, format=img_format, quality=quality, optimize=True
+                )
+            size = buffer.tell() / (1024 * 1024)
+            if size <= TARGET_SIZE_MB:
+                break
+            quality -= step
+
+        compressed_size = buffer.tell()
+
+        if compressed_size < original_size:
+            with open(file_path, "wb") as f:
+                f.write(buffer.getvalue())
+
+            stats["compressed"] += 1
+            stats["original_bytes"] += original_size
+            stats["compressed_bytes"] += compressed_size
+            mark_as_compressed(file_hash)
+
+            saved = original_size - compressed_size
+            return f"Сжато: {file_path} (-{saved / 1024 / 1024:.2f} MB)"
+        else:
+            stats["skipped"] += 1
+            return f"Без изменений (не удалось уменьшить): {file_path}"
+    except Exception as e:
+        return f"Ошибка: {file_path} — {e}"
+
+
+def walk_images(root):
+    supported = {".jpg", ".jpeg", ".png", ".webp"}
+    for dirpath, _, filenames in os.walk(root):
+        for name in filenames:
+            if os.path.splitext(name)[1].lower() in supported:
+                yield os.path.join(dirpath, name)
+
+
+def get_user_confirmation(default_path):
+    print(
+        f"Будет выполнен рекурсивный обход всех изображений по пути: {default_path}"
+    )
+    answer = input("Продолжить? [y/n]: ").strip().lower()
+    return answer == "y"
+
+
+def print_summary():
+    original = stats["original_bytes"]
+    compressed = stats["compressed_bytes"]
+    saved = original - compressed
+
+    if original > 0:
+        saved_pct = saved / original * 100
+    else:
+        saved_pct = 0.0
+
+    summary = (
+        f"\n==== СТАТИСТИКА ====\n"
+        f"Всего файлов: {stats['total']}\n"
+        f"Сжато: {stats['compressed']}\n"
+        f"Пропущено: {stats['skipped']} (мелкие/не уменьшено)\n"
+        f"Уже обработано ранее: {stats['already_done']}\n"
+        f"Экономия: {saved / 1024 / 1024:.2f} MB ({saved_pct:.2f}%)\n"
+        f"====================\n"
+    )
+    logging.info(summary)
+
+
+def main():
+    init_logging()
+
+    parser = argparse.ArgumentParser(
+        description="Сжатие изображений с сохранением качества, EXIF и учётом уже обработанных."
+    )
+    parser.add_argument(
+        "--input",
+        "-i",
+        type=str,
+        help="Путь к папке с изображениями",
+        default=".",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        help="Путь для вывода (не используется пока)",
+        default=None,
+    )
+    args = parser.parse_args()
+
+    input_path = os.path.abspath(args.input)
+
+    if input_path == os.path.abspath(".") and not get_user_confirmation(
+        input_path
+    ):
+        print("Операция отменена.")
+        return
+
+    init_db()
+    images = list(walk_images(input_path))
+
+    logging.info(f"Найдено {len(images)} изображений для обработки...")
+
+    with ThreadPoolExecutor(max_workers=THREADS) as executor:
+        futures = {executor.submit(compress_image, img): img for img in images}
+        for future in tqdm(
+            as_completed(futures),
+            total=len(futures),
+            desc="Обработка изображений",
+        ):
+            result = future.result()
+            if result:
+                logging.info(result)
+
+    print_summary()
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+altgraph==0.17.4
+colorama==0.4.6
+packaging==25.0
+pefile==2023.2.7
+pillow==11.2.1
+pyinstaller==6.13.0
+pyinstaller-hooks-contrib==2025.4
+pywin32-ctypes==0.2.3
+tqdm==4.67.1