S3

• An AWS account. Create an AWS account.
• An S3 bucket. Create an S3 bucket. Additional approaches are in the following video and in the how-to sections at the end of this page.
• Anonymous (supported but not recommended) or authenticated access to the bucket.
  • Enable anonymous bucket access.
  • Enable authenticated bucket access.
• For authenticated bucket read access, the authenticated AWS IAM user must have at minimum the permissions of s3:ListBucket and s3:GetObject for that bucket. Learn how.
• For bucket write access, authenticated access to the bucket must be enabled (anonymous access must not be enabled), and the authenticated AWS IAM user must have at minimum the permission of s3:PutObject for that bucket. Learn how.
• For authenticated access, an AWS access key and secret access key for the authenticated AWS IAM user in the account. Create an AWS access key and secret access key.
• For authenticated access in untrusted environments or enhanced security scenarios, an AWS STS session token for temporary access, in addition to an AWS access key and secret access key. Create a session token.
  AWS STS credentials can be valid for as little as 15 minutes or as long as 36 hours, depending on how the credentials were initially generated. After the expiry time, the credentials are no longer valid will no longer work with the corresponding S3 connector. You must get a new set of credentials to replace the expired ones by calling GetSessionToken in the AWS STS API. To overwrite the expired credentials with the new set:

  • For the Unstructured user interface (UI), manually update the AWS Key, AWS Secret Key, and STS Token fields in the Unstructured UI for the corresponding S3 source or destination connector.
  • For the Unstructured API, use the Unstructured Workflow Endpoint to call the update source or update destination connector operation for the corresponding S3 source or destination connector.
  • For Unstructured Ingest, change the values of --key, --secret, and --token (CLI) or key, secret, and token (Python) in your command or code for the corresponding S3 source or destination connector.
• If the target files are in the root of the bucket, the path to the bucket, formatted as protocol://bucket/ (for example, s3://my-bucket/). If the target files are in a folder, the path to the target folder in the S3 bucket, formatted as protocol://bucket/path/to/folder/ (for example, s3://my-bucket/my-folder/).
• If the target files are in a folder, and authenticated bucket access is enabled, make sure the authenticated AWS IAM user has authenticated access to the folder as well. Enable authenticated folder access.

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Add an access policy to an existing bucket

1. Sign in to the AWS Management Console.
2. Open the Amazon S3 Console.
3. Browse to the existing bucket and open it.
4. Click the Permissions tab.
5. In the Bucket policy area, click Edit.
6. In the Policy text area, copy the following JSON-formatted policy. To change the following policy to restrict it to a specific user in the AWS account, change root to that specific username. In this policy, replace the following:
   • Replace <my-account-id> with your AWS account ID.
   • Replace <my-bucket-name> in two places with the name of your bucket.
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   {
       "Version": "2012-10-17",
       "Statement": [
           {
               "Sid": "AllowAuthenticatedUsersInAccountReadWrite",
               "Effect": "Allow",
               "Principal": {
                   "AWS": "arn:aws:iam::<my-account-id>:root"
               },
               "Action": [
                   "s3:GetObject",
                   "s3:PutObject",
                   "s3:ListBucket",
                   "s3:DeleteObject"
               ],
               "Resource": [
                   "arn:aws:s3:::<my-bucket-name>",
                   "arn:aws:s3:::<my-bucket-name>/*"
               ],
               "Condition": {
                   "StringEquals": {
                       "aws:PrincipalType": "IAMUser"
                   }
               }
           }
       ]
   }
   

7. Click Save changes.

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Create a bucket with AWS CloudFormation

1. Save the following YAML to a file on your local machine, for example create-s3-bucket.yaml. To change the following bucket policy to restrict it to a specific user in the AWS account, change root to that specific username.
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   AWSTemplateFormatVersion: '2010-09-09'
   Description: 'CloudFormation template to create an S3 bucket with specific permissions for account users.'
   
   Parameters:
     BucketName:
       Type: String
       Description: 'Name of the S3 bucket to create'
   
   Resources:
     MyS3Bucket:
       Type: 'AWS::S3::Bucket'
       Properties:
         BucketName: !Ref BucketName
         PublicAccessBlockConfiguration:
           BlockPublicAcls: true
           BlockPublicPolicy: false
           IgnorePublicAcls: true
           RestrictPublicBuckets: true
   
     BucketPolicy:
       Type: 'AWS::S3::BucketPolicy'
       Properties:
         Bucket: !Ref MyS3Bucket
         PolicyDocument:
           Version: '2012-10-17'
           Statement:
             - Sid: AllowAllAuthenticatedUsersInAccount
               Effect: Allow
               Principal:
                 AWS: !Sub 'arn:aws:iam::${AWS::AccountId}:root'
               Action:
                 - 's3:GetObject'
                 - 's3:PutObject'
                 - 's3:ListBucket'
                 - 's3:DeleteObject'
               Resource:
                 - !Sub 'arn:aws:s3:::${BucketName}'
                 - !Sub 'arn:aws:s3:::${BucketName}/*'
   
   Outputs:
     BucketName:
       Description: 'Name of the created S3 bucket'
       Value: !Ref MyS3Bucket
   

2. Sign in to the AWS Management Console.
3. Open the AWS CloudFormation Console.
4. Click Create stack > With new resources (standard).
5. On the Create stack page, with Choose an existing template already selected, select Upload a template file.
6. Click Choose file, and browse to and select the YAML file from your local machine.
7. Click Next.
8. Enter a unique Stack name and BucketName.
9. Click Next two times.
10. Click Submit.
11. Wait until the Status changes to CREATE_COMPLETE.
12. After the bucket is created, you can delete the YAML file, if you want.

​

Create a bucket with the AWS CLI

1. Install the AWS CLI.
2. Set up the AWS CLI.
3. Copy the following script to a file on your local machine, for example a file named create-s3-bucket.sh. To change the following bucket policy to restrict it to a specific user in the AWS account, change root to that specific username. In this script, replace the following:
   • Replace <my-account-id> with your AWS account ID.
   • Replace <my-unique-bucket-name> with the name of your bucket.
   • Replace <us-east-1> with your AWS Region.
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   #!/bin/bash
   
   # Set variables for the AWS account ID, Amazon S3 bucket name, and AWS Region.
   ACCOUNT_ID="<my-account-id>"
   BUCKET_NAME="<my-unique-bucket-name>"
   REGION="<us-east-1>"
   
   # Temporary filename for the bucket policy.
   # Do not change this variable.
   POLICY_FILE="bucket_policy.json"
   
   # Create the bucket.
   aws s3api create-bucket --bucket $BUCKET_NAME --region $REGION
   
   # Wait for the bucket to exist.
   echo "Waiting for bucket '$BUCKET_NAME' to be fully created..."
   aws s3api wait bucket-exists --bucket $BUCKET_NAME
   
   # Check if the wait command was successful.
   if [ $? -eq 0 ]; then
       echo "The bucket '$BUCKET_NAME' has been fully created."
   else
       echo "Error: Timed out waiting for bucket '$BUCKET_NAME' to be created."
       exit 1
   fi
   
   # Remove the "block public policy" bucket access setting.
   aws s3api put-public-access-block \
       --bucket $BUCKET_NAME \
       --public-access-block-configuration \
       '{"BlockPublicPolicy": false, "IgnorePublicAcls": false, "BlockPublicAcls": false, "RestrictPublicBuckets": false}'
   
   # Check if the operation was successful.
   if [ $? -eq 0 ]; then
       echo "The block public policy access setting was removed from '$BUCKET_NAME'."
   else
       echo "Error: Failed to remove the block public policy access setting from '$BUCKET_NAME'."
       exit 1
   fi
   
   # Create the bucket policy.
   cat << EOF > $POLICY_FILE
   {
       "Version": "2012-10-17",
       "Statement": [
           {
               "Sid": "AllowAuthenticatedUsersInAccountReadWrite",
               "Effect": "Allow",
               "Principal": {
                   "AWS": "arn:aws:iam::$ACCOUNT_ID:root"
               },
               "Action": [
                   "s3:GetObject",
                   "s3:PutObject",
                   "s3:ListBucket",
                   "s3:DeleteObject"
               ],
               "Resource": [
                   "arn:aws:s3:::$BUCKET_NAME",
                   "arn:aws:s3:::$BUCKET_NAME/*"
               ],
               "Condition": {
                   "StringEquals": {
                       "aws:PrincipalType": "IAMUser"
                   }
               }
           }
       ]
   }
   EOF
   
   # Apply the bucket policy.
   aws s3api put-bucket-policy --bucket $BUCKET_NAME --policy file://$POLICY_FILE
   
   # Check if the policy application was successful.
   if [ $? -eq 0 ]; then
       echo "The bucket policy was applied to '$BUCKET_NAME'."
   else
       echo "Error: Failed to apply the bucket policy to '$BUCKET_NAME'."
       exit 1
   fi
   
   # Verify the applied policy.
   echo "Verifying the applied policy:"
   aws s3api get-bucket-policy --bucket $BUCKET_NAME --query Policy --output text
   
   # Remove the temporary bucket policy file.
   rm $POLICY_FILE
   

4. Run the script, for example:
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   sh create-s3-bucket.sh
   

5. After the bucket is created, you can delete the script file, if you want.

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Work with user-defined metadata

• Working with object metadata
• User-defined metadata
• Editing object metadata in the Amazon S3 console

[
    {
        "type": "...",
        "element_id": "...",
        "text": "...",
        "metadata": {
            "data_source": {
                "record_locator": {
                    "metadata": {
                        "mymetadata": "myvalue"
                    }
                }
            }
        }
    }
]

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Create the source connector

import os

from unstructured_client import UnstructuredClient
from unstructured_client.models.operations import CreateSourceRequest
from unstructured_client.models.shared import (
    CreateSourceConnector,
    SourceConnectorType,
    S3SourceConnectorConfigInput
)

with UnstructuredClient(api_key_auth=os.getenv("UNSTRUCTURED_API_KEY")) as client:
    response = client.sources.create_source(
        request=CreateSourceRequest(
            create_source_connector=CreateSourceConnector(
                name="<name>",
                type=SourceConnectorType.S3,
                config=S3SourceConnectorConfigInput(
                    # For anonymous authentication:
                    anonymous=True,

                    # For AWS access key ID with AWS secret access key authentication:
                    key="<key>", 
                    secret="<secret>", 

                    # For AWS STS token authentication:
                    token="<token>", 
                    key="<key>", 
                    secret="<secret>", 

                    remote_url="<remote_url>",
                    endpoint_url="<endpoint-url>", 
                    recursive=<True|False>
                )
            )
        )
    )

    print(response.source_connector_information)

• <name> (required) - A unique name for this connector.
• For AWS access key ID with AWS secret access key authentication, or for AWS STS token authentication:
  • <key> - The AWS access key ID for the authenticated AWS IAM user (required).
  • <secret> - The AWS secret access key corresponding to the preceding AWS access key ID (required).
• For AWS STS token authentication:
  • <token> - The AWS STS session token for temporary access (required).
• <endpoint-url> - A custom URL, if connecting to a non-AWS S3 bucket.
• <remote-url> (required) - The S3 URI to the bucket or folder, formatted as s3://my-bucket/ (if the files are in the bucket’s root) or s3://my-bucket/my-folder/.
• For recursive (source connector only), set to true to access subfolders within the bucket. The default is false if not otherwise specified.