Amazon Bedrock AgentCore를 활용한 AI 기반 대시보드 자동화 에이전트 구축

@tool
def find_dashboard_tool(dashboard_name: str = "") -> str:
    """Find Quick dashboards by name (supports partial matching)"""
    client = boto3.client('quicksight', region_name=REGION)
    response = client.list_dashboards(AwsAccountId=AWS_ACCOUNT_ID)
    dashboards = response.get('DashboardSummaryList', [])
    # List all dashboards if no search term provided
    if not dashboard_name or dashboard_name.strip() == "":
        all_names = [d['Name'] for d in dashboards]
        return f"All dashboards ({len(all_names)}): {all_names}"
    # Filter using case-insensitive partial matching
    matches = [d['Name'] for d in dashboards if dashboard_name.lower() in d['Name'].lower()]
    return f"Found {len(matches)} dashboards: {matches}"

@tool
def modify_dashboard(dashboard_name: str, action: str, column_name: str) -> str:
    """Modify a dashboard by adding or removing columns"""
    client = boto3.client('quicksight', region_name=REGION)
    info = _get_dashboard_and_dataset_info(dashboard_name)
    # Validation-first: verify column state before making changes
    if action == "add":
        if column_name in info["dashboard_columns"]:
            return f"Column '{column_name}' is already in the dashboard."
        if column_name not in info["dataset_columns"]:
            return f"Column '{column_name}' doesn't exist in dataset."
    elif action == "remove":
        if column_name not in info["dashboard_columns"]:
            return f"Column '{column_name}' is not in the dashboard."