AWS Bedrock Data Automation

[DEPRECATED] Analyze an asset using a data automation project. This tool extracts insights from unstructured content (documents, images, videos, audio) using Amazon Bedrock Data Automation. ## Usage Use this tool to analyze various types of assets (documents, images, videos, audio files) using a data automation project. You can specify a particular project to use for analysis or let the system use a default public project if none is provided. ## Supported Asset Types - Documents: PDF, DOCX, TXT, etc. - Images: JPG, PNG, etc. - Videos: MP4, MOV, etc. - Audio: MP3, WAV, etc. ## Examples ```python # Analyze a document using the default public project results = await analyzeasset(assetPath='/path/to/document.pdf') # Analyze an image using a specific project results = await analyzeasset( assetPath='/path/to/image.jpg', projectArn='arn:aws:bedrock:us-west-2:123456789012:data-automation-project/my-project', ) ``` ## Output Format The output is a dictionary containing the analysis results, which vary based on: - The type of asset being analyzed - The capabilities of the data automation project used - The specific insights extracted (text, entities, sentiment, etc.)

[DEPRECATED] Get details of a data automation project. ## Usage Use this tool to retrieve detailed information about a specific data automation project after you've identified its ARN using the `getprojects` tool. ## Example ```python # Get details for a specific project project_details = await getprojectdetails( projectArn='arn:aws:bedrock:us-west-2:123456789012:data-automation-project/my-project' ) ``` ## Output Format The output is a dictionary containing comprehensive project details including: - Basic project information (name, ARN, stage) - Configuration settings - Input/output specifications - Associated blueprints - Creation and modification timestamps

[DEPRECATED] Get a list of data automation projects. ## Usage Use this tool to retrieve a list of all available data automation projects in your account. This is typically the first step when working with data automation to discover what projects are available for use. ## Example ```python # Get all available data automation projects projects = await getprojects() ``` ## Output Format The output is a dictionary containing: - `projects`: A list of project objects, each with: - `projectArn`: The Amazon Resource Name (ARN) of the project - `projectName`: The name of the project - `projectStage`: The stage of the project (e.g., DRAFT, PUBLISHED) - `creationTime`: When the project was created - `lastModifiedTime`: When the project was last modified Returns: A dict containing a list of data automation projects.