Batch Run Control Helper

from typing import Any, Dict, Optional

class BatchRunManager:
    def __init__(self, client: Any):
        """Wraps the document analysis client used for batch operations."""
    
    def start_run(
        self,
        model_id: str,
        source_container_url: str,
        *,
        source_prefix: Optional[str] = None,
        result_container_url: str,
        result_prefix: Optional[str] = None,
        overwrite_existing: bool = False,
    ) -> Dict[str, str]:
        """
        Starts a batch analysis against the given source container and returns identifiers for later lookup.
        The result prefix and overwrite flag are applied to the storage location.
        Returns a mapping with at least operation_id, continuation_token, and result_location keys.
        """
    
    def resume_run(self, continuation_token: str) -> Dict[str, Any]:
        """
        Resumes a batch run from the provided continuation token and waits for completion.
        Returns a summary with terminal status and succeeded_count/failed_count keys.
        """
    
    def list_runs(self, model_id: str, *, skip: int = 0, top: int = 10) -> Dict[str, Any]:
        """
        Lists batch runs for a model honoring pagination controls.
        Returns a mapping containing the requested page of items and a next_link pointer when more data is available.
        """