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Fix image renaming collisions by appending UUID in mangle_image_name #8791

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@noahpav noahpav commented Dec 8, 2024

Instead of appending an incremental integer to the end of files with colliding names we append a unique identifier, uuid.

Motivation and context

#8076
This change is required because currently, when you try to export a project that contains multiple tasks with the same image name, some can be overwritten on export.

How has this been tested?

Checklist

  • I submit my changes into the develop branch
  • I have created a changelog fragment
  • [] I have updated the documentation accordingly
  • I have added tests to cover my changes
  • I have linked related issues (see GitHub docs)
  • I have increased versions of npm packages if it is necessary
    (cvat-canvas,
    cvat-core,
    cvat-data and
    cvat-ui)

License

  • I submit my code changes under the same MIT License that covers the project.
    Feel free to contact the maintainers if that's a concern.

Summary by CodeRabbit

  • New Features

    • Enhanced image naming system to ensure unique names using UUIDs.
  • Bug Fixes

    • Improved error handling for image name generation conflicts.

@noahpav noahpav requested a review from zhiltsov-max as a code owner December 8, 2024 08:04
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coderabbitai bot commented Dec 8, 2024

Walkthrough

The changes in the pull request primarily involve modifications to the cvat/apps/dataset_manager/bindings.py file. The updates focus on enhancing the uniqueness of image names by incorporating UUIDs instead of using a simple incrementing integer. A new import statement for the uuid module is added, and the mangle_image_name function is revised to generate unique names and handle potential conflicts. An exception is now raised if a unique name cannot be generated after all options are exhausted.

Changes

File Path Change Summary
cvat/apps/dataset_manager/bindings.py - Added import for uuid module.
- Updated mangle_image_name function to use UUIDs for unique image names.
- Function now raises an exception if a unique name cannot be generated.

Poem

In the dataset's burrow, where images play,
A UUID hops in to brighten the day.
No more collisions, just names that are bright,
Unique little bunnies, a marvelous sight!
With each new creation, a hop and a cheer,
In the world of CVAT, uniqueness is here! 🐇✨


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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)
cvat/apps/dataset_manager/bindings.py (1)

1901-1903: Simplify the UUID-based name generation logic

The implementation successfully uses UUIDs to prevent name collisions, but it can be simplified:

  1. The counter variable i is incremented but not used in the UUID generation.
  2. The loop with sys.maxsize check is unnecessary since UUID collisions are extremely unlikely.

Consider simplifying the code:

-            i = 1
             uid = uuid.uuid4().hex
-            while i < sys.maxsize:
+            new_image_name = f"{image_name}_{uid}"
+            if not names[(subset, new_image_name)]:
+                names[(subset, name)] += 1
+                return osp.extsep.join([new_image_name, ext])
-                new_image_name = f"{image_name}_{uid}"
-                if not names[(subset, new_image_name)]:
-                    names[(subset, name)] += 1
-                    return osp.extsep.join([new_image_name, ext])
-                i += 1

If you want to keep collision detection, consider generating a new UUID instead of incrementing i:

             while True:
                 uid = uuid.uuid4().hex
                 new_image_name = f"{image_name}_{uid}"
                 if not names[(subset, new_image_name)]:
                     names[(subset, name)] += 1
                     return osp.extsep.join([new_image_name, ext])
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📥 Commits

Reviewing files that changed from the base of the PR and between 12eec54 and 1a7b551.

📒 Files selected for processing (1)
  • cvat/apps/dataset_manager/bindings.py (2 hunks)
🔇 Additional comments (1)
cvat/apps/dataset_manager/bindings.py (1)

11-11: LGTM!

The uuid import is correctly placed with other standard library imports and is necessary for generating unique identifiers.

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sonarcloud bot commented Dec 8, 2024

@Sanjay6388
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Sanjay6388 commented Dec 8, 2024

The proposed changes aim to resolve image name conflicts by appending a UUID to the image name in the mangle_image_name function. Let’s break this down to ensure it’s implemented correctly and robustly.

Updated Behavior

By appending a UUID (uuid.uuid4().hex), the function ensures:
Uniqueness: UUIDs are globally unique, minimizing the likelihood of collisions.
Efficiency: Avoids multiple iterations since the UUID guarantees uniqueness.

Updated Code

def mangle_image_name(name: str, subset: str, names: defaultdict[tuple[str, str], int]) -> str:
    """
    Ensures a unique image name by appending a UUID if a conflict is detected.
    
    Args:
        name (str): The original image name.
        subset (str): The subset name for categorization.
        names (defaultdict): A mapping of (subset, name) to occurrence counts.

    Returns:
        str: The mangled, unique image name.
    """
    image_name, ext = osp.splitext(name)
    
    if not names[(subset, name)]:
        names[(subset, name)] += 1
        return osp.extsep.join([image_name, ext])
    else:
        uid = uuid.uuid4().hex  # Generate a unique identifier
        new_image_name = f"{image_name}_{uid}"
        if not names[(subset, new_image_name)]:
            names[(subset, name)] += 1
            return osp.extsep.join([new_image_name, ext])

Changes Explained

  1. UUID for Uniqueness:
  • Replaced f"{image_name}_{i}" with f"{image_name}_{uid}".
  • A UUID is appended on the first conflict, avoiding repeated checks with an incrementing integer.
  1. Simplified Iteration:

    • Removed the while loop. Since a UUID guarantees uniqueness, there's no need for iterative attempts.
  2. Maintaining Names Dictionary:

    • Ensures the names dictionary tracks mangled names, maintaining its role in conflict detection.

Testing the Fix

  1. Test Case 1: Images with the same name in the same subset.

    • Input: image.jpg, image.jpg
    • Expected Output: image.jpg, image_<UUID>.jpg
  2. Test Case 2: Images with different names.

    • Input: image1.jpg, image2.jpg
    • Expected Output: No renaming.
  3. Test Case 3: Large-scale dataset with potential conflicts.

    • Simulate thousands of images and ensure no conflicts arise.

@zhiltsov-max
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Hi, answered in #8076 (comment)

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