"""
Enrichr_get_top_enriched

Get top enriched terms across multiple libraries simultaneously. Submit a gene list and get the m...
"""

from typing import Any, Optional, Callable
from ._shared_client import get_shared_client


def Enrichr_get_top_enriched(
    gene_list: list[str],
    operation: Optional[str] = None,
    libraries: Optional[list[str]] = None,
    top_n: Optional[int] = 5,
    *,
    stream_callback: Optional[Callable[[str], None]] = None,
    use_cache: bool = False,
    validate: bool = True,
) -> dict[str, Any]:
    """
    Get top enriched terms across multiple libraries simultaneously. Submit a gene list and get the m...

    Parameters
    ----------
    operation : str
        Operation type (fixed: get_top_enriched)
    gene_list : list[str]
        List of gene symbols (e.g., ['TP53', 'BRCA1', 'EGFR'])
    libraries : list[str]
        Libraries to query (default: GO_Biological_Process_2023, KEGG_2021_Human, Rea...
    top_n : int
        Number of top terms per library (default: 5)
    stream_callback : Callable, optional
        Callback for streaming output
    use_cache : bool, default False
        Enable caching
    validate : bool, default True
        Validate parameters

    Returns
    -------
    dict[str, Any]
    """
    # Handle mutable defaults to avoid B006 linting error

    # Strip None values so optional parameters don't trigger schema validation errors
    _args = {
        k: v
        for k, v in {
            "operation": operation,
            "gene_list": gene_list,
            "libraries": libraries,
            "top_n": top_n,
        }.items()
        if v is not None
    }
    return get_shared_client().run_one_function(
        {
            "name": "Enrichr_get_top_enriched",
            "arguments": _args,
        },
        stream_callback=stream_callback,
        use_cache=use_cache,
        validate=validate,
    )


__all__ = ["Enrichr_get_top_enriched"]
