original file name: Codeium Chat - rynuRAhdZogU3fNnshb86SDNO5uu5cya.md summary: The chat conversation involved a user seeking assistance on renaming and moving files in an S3 bucket based on a specific date format. Initially, the user wanted to replace the date format in filenames using TypeScript, followed by a request to move files in an S3 bucket to a new directory structure based on date components using the AWS CLI. The user also inquired about performing the same operation recursively for all folders in a specified S3 directory.

The assistant provided detailed code snippets and explanations in TypeScript and PowerShell for carrying out the file renaming and moving operations efficiently, considering various scenarios and optimizations. It guided the user through adjusting the scripts to exclude already moved files, ensuring the process focuses solely on the necessary operations. Throughout the chat, the assistant offered step-by-step instructions and highlighted potential considerations and adjustments based on the user's requirements, aiming to facilitate a smooth and effective solution to the file management tasks in the S3 bucket.

Note: This is purely the output of the chat conversation and does not contain any raw data, codebase snippets, etc. used to generate the output.

User at 10:13 am, Jul 16, 2024

In TypeScript, I want to replace the 2024-06-26 with 2024/06/26 in char-time_2024-06-26T22:42:08.836Z.json

How can I do that?

Codeium at 10:13 am, Jul 16, 2024

To replace the date format from 2024-06-26 to 2024/06/26 in the filename char-time_2024-06-26T22:42:08.836Z.json, you can use a simple string replacement in TypeScript. Here's how you can do it:

const originalFilename = 'char-time_2024-06-26T22:42:08.836Z.json';

// Use a regular expression to match the date and replace '-' with '/'
const updatedFilename = originalFilename.replace(/(\d{4})-(\d{2})-(\d{2})/, '$1/$2/$3');

console.log(updatedFilename);

This code snippet uses a regular expression that matches the date pattern and replaces the hyphens (-) with slashes (/). The $1/$2/$3 in the replacement string refers to the first, second, and third parenthesized submatch strings, in this case, year, month, and day, respectively.

User at 2:34 pm, Jul 16, 2024

I have a bunch of S3 files named like this:

s3://handterm/user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/char-time_2024-06-26T22:42:08.836Z.json

I want to move them to:

s3://handterm/user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/char-time/2024/06/26T22:42:08.836Z.json

How can I do that from the AWS CLI?

Codeium at 2:35 pm, Jul 16, 2024

To move the files in S3 from the original naming scheme to the desired structure using the AWS CLI, you can use the aws s3 mv command. However, since you're dealing with a specific date format transformation within the path, you'll need to script this operation, extracting the relevant date parts and constructing the new path accordingly.

Here's a basic example using bash script to accomplish this. This script assumes you have the AWS CLI installed and configured with the necessary permissions to read and write to the specified S3 buckets.

#!/bin/bash

# Define the source and target prefixes
source_prefix="s3://handterm/user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/"
target_prefix="s3://handterm/user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/char-time/"

# List files in the source directory
aws s3 ls ${source_prefix} | while read -r line; do
  # Extract the filename
  filename=$(echo $line | awk '{print $4}')
  
  # Use a regex to extract date components
  if [[ $filename =~ char-time_([0-9]{4})-([0-9]{2})-([0-9]{2})T(.+).json ]]; then
    year="${BASH_REMATCH[1]}"
    month="${BASH_REMATCH[2]}"
    day="${BASH_REMATCH[3]}"
    rest="${BASH_REMATCH[4]}"

    # Construct the new S3 path
    new_path="${target_prefix}${year}/${month}/${day}T${rest}.json"

    # Move the file using the AWS CLI
    aws s3 mv "${source_prefix}${filename}" "${new_path}"
  fi
done

This script does the following:

1. Lists files in the source S3 directory.
2. For each listed file, it checks if the filename matches the expected pattern with a date.
3. Extracts the year, month, and day from the filename.
4. Constructs a new S3 path based on the specified format.
5. Uses aws s3 mv to move the file from the old location to the new one.

Please note:

• This script is a basic example and might need adjustments based on your specific environment or requirements.
• Ensure you have the necessary permissions to perform s3 ls and s3 mv commands.
• Test this script with a small subset of files first to ensure it works as expected before running it on your entire dataset.

Remember to make the script executable before running it:

chmod +x scriptname.sh

Replace scriptname.sh with whatever you named your script.

User at 2:36 pm, Jul 16, 2024

Ok, I think that makes sense.

I thought there might be a way to encode the name change in the CLI command, rather than pulling the list of names.

If I need to create a script, can you write it in PowerShell?

Codeium at 2:37 pm, Jul 16, 2024

Certainly! Below is a PowerShell script version that achieves the same goal as the previously described bash script. This script will move your S3 files to the new directory structure using the AWS CLI within a PowerShell environment.

Before running this script, ensure:

• You have the AWS CLI installed and configured on your system.
• Your AWS CLI is configured with the necessary permissions for the S3 operations.

Here's how you can do it in PowerShell:

# Define the source and target prefixes
$sourcePrefix = "s3://handterm/user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/"
$targetPrefix = "s3://handterm/user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/char-time/"

# Get the list of files from the source S3 bucket
$files = aws s3 ls $sourcePrefix | Out-String -Stream | ForEach-Object {
    if ($_ -match "(\d{4})-(\d{2})-(\d{2})T(\d{2}:\d{2}:\d{2}\.\d{3}Z\.json)") {
        $date = $matches[1]
        $month = $matches[2]
        $day = $matches[3]
        $time = $matches[4]

        # Construct the new S3 object key
        $newKey = "char-time/$date/$month/${day}T$time"

        # Construct the full source and target S3 paths
        $sourcePath = $sourcePrefix + $matches[0]
        $targetPath = $targetPrefix + $newKey

        # Move the file to the new location
        aws s3 mv $sourcePath $targetPath
    }
}

This PowerShell script:

1. Lists all files in the specified source S3 prefix.
2. Filters and processes each line of output to match the date pattern in your filenames.
3. Extracts the year, month, day, and time components from the filename.
4. Constructs the new target path for each file based on the specified format.
5. Moves each file to its new location using the aws s3 mv command.

Before running the script, remember:

• To adjust the $sourcePrefix and $targetPrefix variables if your S3 paths differ.
• To test the script with a small number of files first to ensure it works as expected.
• PowerShell scripts are executed in the PowerShell terminal. You might need to change your execution policy settings to run this script. You can do this by executing Set-ExecutionPolicy RemoteSigned in your PowerShell as an administrator, but be aware of the security implications.

This script is intended to be run on a Windows system where PowerShell is available. If you're running a different OS, PowerShell Core is available for Linux and macOS as well.

User at 2:40 pm, Jul 16, 2024

I want to do it recursively for every folder in "s3://handterm/user_data/"

Codeium at 2:40 pm, Jul 16, 2024

To modify the PowerShell script to work recursively for every folder under s3://handterm/user_data/, you can leverage the aws s3api list-objects-v2 command with the --query option to filter and list all objects that match your pattern. This approach allows you to iterate through each object, regardless of the folder structure, and perform the necessary move operation. Below is the adjusted PowerShell script:

# Define the base S3 URI
$baseUri = "s3://handterm/user_data/"

# Function to move files with the specified date pattern
function Move-S3Files {
    param (
        [string]$s3Uri
    )

    # List all objects in the S3 bucket and prefix
    $objects = aws s3api list-objects-v2 --bucket handterm --prefix user_data/ --query "Contents[?contains(Key, 'char-time_')].Key" --output text

    foreach ($objectKey in $objects) {
        # Check if the object key matches the pattern
        if ($objectKey -match "char-time_(\d{4})-(\d{2})-(\d{2})T(\d{2}:\d{2}:\d{2}\.\d{3}Z\.json)") {
            # Extract date components
            $year = $matches[1]
            $month = $matches[2]
            $day = $matches[3]
            $time = $matches[4]

            # Construct the new S3 object key
            $newKey = $objectKey -replace "char-time_\d{4}-\d{2}-\d{2}", "char-time/$year/$month/$day"

            # Move the file to the new location
            aws s3 mv "$baseUri$objectKey" "$baseUri$newKey"
        }
    }
}

# Call the function to move files recursively
Move-S3Files -s3Uri $baseUri

This script does the following:

1. Defines a function Move-S3Files that takes an S3 URI as a parameter. This function lists all objects in the specified S3 location that contain the string 'char-time_' in their keys.
2. Iterates through each object key returned by the list operation. If the key matches the date pattern, it constructs a new key by replacing the date part with the desired folder structure.
3. Moves each file to its new location using the aws s3 mv command.

Please note:

• The --bucket parameter in the aws s3api list-objects-v2 command needs to be the name of your S3 bucket (handterm in this case), and the --prefix parameter should be adjusted if you have a different structure within your bucket.
• This script assumes that there are no name conflicts in the destination keys. If two files are moved to the same destination key, one will overwrite the other.
• Always test scripts like this with a few files first to ensure they work as expected before running them on your entire bucket.

This script provides a basic approach and might need to be adjusted depending on the specifics of your S3 bucket and objects.

User at 2:47 pm, Jul 16, 2024

I think when you say --output text you remove the object structure that PowerShell would have used to loop through the items in the collection.

Codeium at 2:47 pm, Jul 16, 2024

You're correct. Using --output text with the AWS CLI command simplifies the output for easier parsing in scripts, but it does hinder directly leveraging PowerShell's object-oriented features. A more effective approach in PowerShell would be to work with the output as JSON, allowing you to directly access the properties of each item in the collection.

Here's an updated version of the script that keeps the output in a structured format, which PowerShell can easily handle:

# Define the base S3 URI
$baseUri = "s3://handterm/user_data/"
$bucketName = "handterm"
$prefix = "user_data/"

# Function to move files with the specified date pattern
function Move-S3Files {
    param (
        [string]$BucketName,
        [string]$Prefix
    )

    # Continuation token for paginated results
    $continuationToken = $null

    do {
        # List all objects in the S3 bucket and prefix
        $listObjectsParams = @{
            Bucket = $BucketName
            Prefix = $Prefix
            ContinuationToken = $continuationToken
        }

        $response = aws s3api list-objects-v2 @listObjectsParams | ConvertFrom-Json

        foreach ($object in $response.Contents) {
            $objectKey = $object.Key
            # Check if the object key matches the pattern
            if ($objectKey -match "char-time_(\d{4})-(\d{2})-(\d{2})T(\d{2}:\d{2}:\d{2}\.\d{3}Z\.json)") {
                # Extract date components
                $year = $matches[1]
                $month = $matches[2]
                $day = $matches[3]

                # Construct the new S3 object key
                $newKey = $objectKey -replace "char-time_(\d{4})-(\d{2})-(\d{2})", "char-time/$year/$month/$day"

                # Move the file to the new location
                aws s3 mv "$baseUri$objectKey" "$baseUri$newKey"
            }
        }

        # Check if there is more data to process
        $continuationToken = if ($response.IsTruncated) { $response.NextContinuationToken } else { $null }

    } while ($continuationToken -ne $null)
}

# Call the function to move files recursively
Move-S3Files -BucketName $bucketName -Prefix $prefix

This script handles pagination by using the ContinuationToken, which is essential for processing buckets with a large number of files. The do-while loop continues to fetch and process files as long as the IsTruncated flag is true, indicating more files are available.

This approach leverages PowerShell's ConvertFrom-Json cmdlet to parse the JSON output from the aws s3api list-objects-v2 command, making it easier to work with each object's properties directly.

User at 8:19 am, Jul 17, 2024

I have quite a lot of files in this bucket and the process is pretty slow to rerun while testing.

Is there any way to limit the list-objects-v2 call to only ones that have not yet been moved?

Here is the output of a move operation:

Moving file user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/char-time_2024-06-26T22:46:58.776Z.json to user_data/e4485438-e0d1-7098-10fe-cd1dd7c7885d/logs/char-time/2024/06/26T22:46:58.776Z.json

Codeium at 8:20 am, Jul 17, 2024

To optimize the process and avoid reprocessing files that have already been moved, you can adjust the script to specifically target files that have not yet been moved. This can be done by incorporating a check based on the naming pattern of the files. Since the moved files have a distinct path structure (char-time/YYYY/MM/DD), you can list only those files that do not follow this structure.

Given that moved files are placed in a path that includes the char-time/YYYY/MM/DD structure, you'll want to exclude these from your list-objects-v2 call. However, the aws s3api list-objects-v2 command does not support excluding specific patterns directly. Instead, you can list all objects but only act on those that match the original naming pattern that indicates they have not been moved.

Here's how you can adjust the script to focus only on files that need to be moved:

# Define the base S3 URI
$baseUri = "s3://handterm/user_data/"
$bucketName = "handterm"
$prefix = "user_data/"

# Function to move files with the specified date pattern
function Move-S3Files {
    param (
        [string]$BucketName,
        [string]$Prefix
    )

    # Continuation token for paginated results
    $continuationToken = $null

    do {
        # List all objects in the S3 bucket and prefix
        $listObjectsParams = @{
            Bucket = $BucketName
            Prefix = $Prefix
            ContinuationToken = $continuationToken
        }

        $response = aws s3api list-objects-v2 @listObjectsParams | ConvertFrom-Json

        foreach ($object in $response.Contents) {
            $objectKey = $object.Key
            # Check if the object key matches the original pattern and has not been moved
            if ($objectKey -match "char-time_(\d{4})-(\d{2})-(\d{2})T(\d{2}:\d{2}:\d{2}\.\d{3}Z\.json)") {
                # Extract date components
                $year = $matches[1]
                $month = $matches[2]
                $day = $matches[3]

                # Construct the new S3 object key
                $newKey = $objectKey -replace "char-time_(\d{4})-(\d{2})-(\d{2})", "char-time/$year/$month/$day"

                # Move the file to the new location
                Write-Host "Moving file $objectKey to $newKey"
                aws s3 mv "$baseUri$objectKey" "$baseUri$newKey"
            }
        }

        # Check if there is more data to process
        $continuationToken = if ($response.IsTruncated) { $response.NextContinuationToken } else { $null }

    } while ($continuationToken -ne $null)
}

# Call the function to move files recursively
Move-S3Files -BucketName $bucketName -Prefix $prefix

This script now specifically targets files that match the char-time_YYYY-MM-DD pattern in their filename, which are the ones that haven't been moved to the new structure. Since the regex used ("char-time_(\d{4})-(\d{2})-(\d{2})T(\d{2}:\d{2}:\d{2}\.\d{3}Z\.json)") only matches this pattern, it inherently excludes already moved files, thus making your process more efficient by focusing only on files that need to be processed. By doing so, you avoid the overhead of dealing with files that have already been relocated, speeding up your script's execution time during testing and actual runs.

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User at 8:23 am, Jul 17, 2024

Yes, but the $response object ends up being very large at that point.

What I am asking is if there is a way to limit the result set of the list-objects-v2 call specifically, before the results are assigned to the $response object, so that I have fewer results to loop through.

Codeium at 8:24 am, Jul 17, 2024

To limit the result set of the list-objects-v2 call specifically and ensure you're only processing files that have not been moved yet, you can leverage the fact that the files you need to move have a specific prefix pattern that differs from the ones that have already been moved. However, given the constraints of the aws s3api list-objects-v2 command, there's no direct way to exclude files based on a pattern; you can only include files based on a prefix.

Since the files that haven't been moved yet have a distinct pattern in their names (char-time_YYYY-MM-DD), and the moved files are stored in a directory structure that starts with char-time/YYYY/MM/DD, you could potentially list only files with the original naming convention if they have a common identifiable prefix before the date. Unfortunately, with S3's simple prefix-based listing, it's not possible to list objects that do not match a more complex pattern directly.

A workaround to process fewer results involves a more manual approach:

1. Manually Segregating File Names: If there's a segment of the file names or paths that's consistent for files that haven't been moved yet but different for those that have (other than the char-time part), you could adjust the Prefix parameter to target just those files. This requires manual intervention to change your script as files are moved.

2. Using Tagging: Another approach involves tagging objects once they have been moved and then listing objects without that tag. The AWS CLI and SDKs support filtering objects by tags using other commands, but not directly in the list-objects or list-objects-v2 calls. You would need to:

   • Tag objects after moving them.
   • Use s3api get-bucket-tagging to check for objects without the "moved" tag. This approach is not direct and requires additional API calls.

3. Scripting a Two-Step Process:

   • Step 1: Generate a list of all objects in the bucket and save it to a file.
   • Step 2: Process the file with a PowerShell script to identify and move only the files that match the specific pattern for unmoved files.

Given the limitations, if you're dealing with a very large number of files and the process is prohibitively slow, it might be worth considering a more robust solution involving AWS Lambda functions. You could trigger a Lambda function based on S3 events to automatically move files as they are added to the bucket, or periodically scan and move files based on their names. This approach would offload the processing from your local environment and leverage AWS's infrastructure, which might be more efficient for a large dataset.

Unfortunately, without a direct way to exclude files based on complex patterns or to list only files that haven't been moved using the list-objects-v2 command, these workarounds are your best bet for improving efficiency with the tools available.

User at 8:37 am, Jul 17, 2024

The command provides a --query parameter, which I think could limit the results, but also --max-items and pagination and next token.

   list-objects-v2
  --bucket <value>
  [--delimiter <value>]
  [--encoding-type <value>]
  [--prefix <value>]
  [--fetch-owner | --no-fetch-owner]
  [--start-after <value>]
  [--request-payer <value>]
  [--expected-bucket-owner <value>]
  [--cli-input-json | --cli-input-yaml]
  [--starting-token <value>]
  [--page-size <value>]
  [--max-items <value>]
  [--generate-cli-skeleton <value>]
  [--debug]
  [--endpoint-url <value>]
  [--no-verify-ssl]
  [--no-paginate]
  [--output <value>]
  [--query <value>]
  [--profile <value>]
  [--region <value>]
  [--version <value>]
  [--color <value>]
  [--no-sign-request]
  [--ca-bundle <value>]
  [--cli-read-timeout <value>]
  [--cli-connect-timeout <value>]
  [--cli-binary-format <value>]
  [--no-cli-pager]
  [--cli-auto-prompt]
  [--no-cli-auto-prompt]

I like your suggestion of the get-bucket-tagging, though. I think I could use that for several features. Can you tell me more about it?

Codeium at 8:38 am, Jul 17, 2024

Certainly! The get-bucket-tagging AWS CLI command retrieves the tagging information of an S3 bucket. However, it's important to note that this command applies to the tagging of the bucket itself, not individual objects within the bucket. For managing and filtering objects based on tags, you'd use object-level tagging and the put-object-tagging and get-object-tagging commands.

Object tagging in Amazon S3 provides a way to categorize storage. Each tag is a key-value pair. You can define your own keys and values, making tags flexible to support various control structures such as access control, automation, and cost tracking.

When you move an object to the new structure, you can tag it to indicate that it has been moved. Here's how to tag an object using the AWS CLI:

aws s3api put-object-tagging --bucket your-bucket-name --key "your-object-key" --tagging 'TagSet=[{Key=moved,Value=true}]'

Replace your-bucket-name with your actual bucket name and your-object-key with the object's key. This command sets a tag with the key moved and the value true.

While AWS S3 does not support directly listing objects by tags using a single CLI command, you can implement a process to filter objects based on tags:

1. List all objects: Use list-objects-v2 to list all objects in a bucket or prefix.
2. Get tags for each object: Iterate through the list and use get-object-tagging for each object.
3. Filter based on tags: Process the tag set of each object in your script to determine which ones meet your criteria (e.g., not having the moved tag).

Here's a basic example in PowerShell:

$bucketName = "your-bucket-name"
$prefix = "user_data/"

# List all objects (simplified for demonstration)
$objects = aws s3api list-objects-v2 --bucket $bucketName --prefix $prefix --query "Contents[].Key" --output text

foreach ($objectKey in $objects) {
    # Get tags for the object
    $tags = aws s3api get-object-tagging --bucket $bucketName --key $objectKey --output json | ConvertFrom-Json
    $isMoved = $false

    foreach ($tag in $tags.TagSet) {
        if ($tag.Key -eq "moved" -and $tag.Value -eq "true") {
            $isMoved = $true
            break
        }
    }

    # Process only if not moved
    if (-not $isMoved) {
        Write-Host "Object $objectKey has not been moved"
        # Your logic to move and tag the object goes here
    }
}

• Performance: This approach requires a separate API call for each object to retrieve its tags, which can be slow and costly for buckets with a large number of objects.
• Cost: AWS charges for API calls, including tag retrieval. Consider the cost impact when designing solutions that involve frequent tag queries.

For large-scale or frequent operations, consider using more efficient data management patterns or AWS services like S3 Batch Operations, which can perform actions on large numbers of S3 objects in a single request, including applying tags.

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User at 10:22 am, Jul 17, 2024

Can S3 Batch be used for the move operation that we are doing above?

Codeium at 10:23 am, Jul 17, 2024

Yes, S3 Batch Operations can be used for moving (copying and then deleting) objects on a large scale within Amazon S3, including operations like the one you described above. S3 Batch Operations simplifies managing large numbers or sizes of objects, allowing you to execute a single operation on tens of millions of objects with a single request. You can copy objects to new locations with modified keys (effectively moving them to a new directory structure, as you described) and apply tags or other changes in bulk.

To move objects with S3 Batch Operations and change their directory structure as per your requirement, you would typically:

1. Create a Job: Go to the S3 console, select "Batch Operations" from the menu, and create a new job.
2. Select Operation: Choose "Copy" as the operation type since moving in S3 is effectively copying and then optionally deleting the source object.
3. Specify Source Objects: Provide a manifest file listing the objects to move. The manifest is a CSV or JSON file you upload to S3, listing the keys of the objects you want to move.
4. Configure Operation Details: Specify the destination bucket (which could be the same as the source bucket) and adjust the key names as needed for the new directory structure. You can use the "Replace key prefix with" option to change the directory structure of the copied objects if the transformation logic is simple. For more complex renaming that depends on specific patterns within the keys (like dates), you may need to prepare the manifest with the exact source and destination keys.
5. (Optional) Delete After Copy: S3 Batch Operations doesn't directly support a "move" operation, which would delete the source object. You would need to run a second batch operation to delete the source objects after ensuring the copy operation was successful.
6. Review and Create Job: Set any additional settings, like completion reports or S3 EventBridge event notifications, review your job configuration, and then create the job.

• Cost: S3 Batch Operations is a powerful feature but comes with costs based on the number of operations performed and the amount of data processed. Review the pricing details in the AWS documentation to understand the costs associated with your specific use case.
• Preparation: You'll need to prepare a manifest file that lists all the objects to be processed. Depending on your specific requirements, generating this manifest can range from simple to complex.
• Completion Time: Processing time for a batch job can vary based on the size and number of objects. AWS provides job completion reports and can publish events to Amazon EventBridge for notification upon job completion.

S3 Batch Operations can be a great solution if you need to perform large-scale operations like moving objects within S3, especially when you have a clear listing of the objects to be moved and can generate a manifest file accordingly. This approach significantly reduces the amount of manual scripting and API calls you would need to manage directly, handling the complexities of large-scale operations efficiently within the AWS infrastructure.

User at 10:26 am, Jul 17, 2024

I don't want to go to the Web console. I want to avoid that if at all possible.

I want to perform these operations through the AWS CLI or other code-based operation.

I will not just be performing these operations once in my lifetime. I also don't want to store the process as a discription of visual mouse movements.

I want to record them as commands in my code notebooks and playbooks.

Please rephrase everything you just said as AWS CLI commands or other textual code.

Codeium at 10:26 am, Jul 17, 2024

Performing S3 Batch Operations using the AWS CLI or scriptable methods is a practical approach for automating tasks without relying on the AWS Management Console. Here's how you can achieve the object moving operation you described through the AWS CLI, involving creating and executing a batch job to copy and then optionally delete objects within S3.

First, you'll need a manifest file listing the objects you want to move. This file should be in CSV or JSON format and uploaded to an S3 bucket. Assuming you've already identified the objects and their new paths, your manifest might look something like this (in JSON format for flexibility):

{
  "Records": [
    {
      "sourceBucket": "source-bucket",
      "sourceKey": "old_prefix/your_object_key.json",
      "destinationBucket": "destination-bucket",
      "destinationKey": "new_prefix/your_object_key.json"
    },
    ...
  ]
}

To create a job via the AWS CLI, you'll use the create-job command. You must specify the operation type (copy), the manifest location, and other details like the IAM role ARN that S3 Batch Operations can assume to perform the operations on your behalf.

For complex renaming patterns not directly supported by the S3 Batch Operations copy action (such as date-based directory changes), you'll likely need to generate the manifest with exact source and destination keys as shown above.

aws s3control create-job --account-id your-account-id --confirmation-required --operation '{
    "S3PutObjectCopy": {
        "TargetResource": "arn:aws:s3:::destination-bucket",
        "MetadataDirective": "REPLACE"
    }
}' --manifest '{
    "Spec": {
        "Format": "S3BatchOperations_CSV_20180820",
        "Fields": [
            "Bucket", "Key"
        ]
    },
    "Location": {
        "ObjectArn": "arn:aws:s3:::your-manifest-bucket/manifest-file.json",
        "ETag": "manifest-file-etag"
    }
}' --report '{
    "Bucket": "arn:aws:s3:::your-report-bucket",
    "Format": "Report_CSV_20180820",
    "Enabled": true,
    "Prefix": "report-prefix",
    "ReportScope": "AllTasks"
}' --priority 123 --role-arn 'arn:aws:iam::your-account-id:role/your-batch-operations-role' --client-request-token 'your-request-token' --description 'Your job description'

After creating the job, you can monitor its progress with the describe-job command:

aws s3control describe-job --account-id your-account-id --job-id your-job-id

If you need to delete the source objects after confirming the copy operation was successful, you could create another batch job for deletion or script the deletion using the AWS CLI s3 rm command in a loop over the objects listed in your manifest.

• IAM Role: Ensure the IAM role specified in --role-arn has the necessary permissions for S3 Batch Operations to access the source and destination buckets, read the manifest file, and write the operation report.
• Manifest and Report Storage: Your manifest file and operation reports need to be stored in S3, so you'll need to upload your manifest beforehand and specify where you want the reports to be written.
• Client Request Token: This is optional but recommended for idempotency. If you're scripting this, you might generate a unique token for each job creation request.
• Automation and Scripting: Incorporating these commands into scripts or code notebooks allows for easy repetition and automation of the process. You can parameterize parts of the commands, such as bucket names, paths, and job descriptions, to suit different operations or datasets.

Using the AWS CLI for S3 Batch Operations like this enables you to automate large-scale object management tasks in S3 with the flexibility and power of code, making it a valuable tool for routine data management and organization tasks.