Troubleshooting Missing AI Image Overwrites After Object Storage Retry Key Collisions

When an AI-generated image upload is retried and ends up overwriting a previously successful render, it can result in the loss of that earlier output. This issue arises because the object storage does not have versioning enabled, making it impossible to recover the original file after an accidental overwrite or deletion. To avoid this problem, it is recommended to generate a unique key for each render attempt and use that key for the upload.

The key should incorporate an attempt identifier, such as a timestamp and UUID, to ensure uniqueness.

The recommended approach is to use a function like `render_key(user_id, job_id)` that generates a unique key based on the user ID and job ID, along with a timestamp and a random UUID. This ensures that each render attempt has a distinct key, preventing collisions when retries occur. The database should still be used to track which attempt belongs to each job, as object metadata may not be searchable due to limitations in server-side discovery.

By following this method, developers can maintain the integrity of AI-generated images and ensure that successful renders are not lost due to retry overwrites. This solution addresses the primary access-control concern while avoiding unnecessary bandwidth usage. It also simplifies integration for teams considering Infrai, as it requires only a single REST API call with a single key, rather than multiple SDKs and credential sets.