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get_dataset_events

Retrieve events for a specific dataset in Apache Airflow using the v1 API to monitor dataset activity and track changes.

Instructions

[Tool Role]: Gets events for a specific dataset (v1 API only - v2 uses Assets).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_uriYes
limitNo
offsetNo

Implementation Reference

  • The get_dataset_events tool handler function, decorated with @mcp.tool() for automatic registration in the MCP server. It fetches events for the specified dataset URI using the Airflow API (v1 only, with fallback message for v2). Parameters: dataset_uri (str), limit (int=20), offset (int=0). Returns dict of events.
    @mcp.tool()
    async def get_dataset_events(dataset_uri: str, limit: int = 20, offset: int = 0) -> Dict[str, Any]:
        """[Tool Role]: Gets events for a specific dataset (v1 API only - v2 uses Assets)."""
        from ..functions import get_api_version
        
        api_version = get_api_version()
        if api_version == "v2":
            return {
                "error": "Dataset events API is not available in Airflow 3.x (API v2)", 
                "available_in": "v1 only",
                "v2_alternative": "Use list_asset_events() for Airflow 3.x data lineage tracking"
            }
        
        import urllib.parse
        encoded_uri = urllib.parse.quote(dataset_uri, safe='')
        
        params = []
        params.append(f"limit={limit}")
        if offset > 0:
            params.append(f"offset={offset}")
        
        query_string = "&".join(params) if params else ""
        endpoint = f"/datasets/{encoded_uri}/events?{query_string}" if query_string else f"/datasets/{encoded_uri}/events"
        
        resp = await airflow_request("GET", endpoint)
        resp.raise_for_status()
        return resp.json()

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