from __future__ import annotations
from typing import Dict
import polars as pl
from tools.base import BaseTool


class UniqueTool(BaseTool):
    def execute(self, inputs: Dict[str, pl.DataFrame]) -> Dict[str, pl.DataFrame]:
        df = inputs.get("Input", pl.DataFrame())
        if self.config is None or df.is_empty():
            return {"Unique": df, "Duplicate": pl.DataFrame()}

        key_fields = [
            f.attrib["name"]
            for f in self.config.findall("UniqueFields/Field")
            if f.attrib["name"] in df.columns
        ]
        if not key_fields:
            key_fields = df.columns

        df = df.with_row_index("__row_idx__")
        first_idx_list = (
            df.group_by(key_fields, maintain_order=True)
            .agg(pl.col("__row_idx__").first())
            ["__row_idx__"]
            .to_list()
        )

        unique_df = (
            df.filter(pl.col("__row_idx__").is_in(first_idx_list))
            .drop("__row_idx__")
        )
        dup_df = (
            df.filter(~pl.col("__row_idx__").is_in(first_idx_list))
            .drop("__row_idx__")
        )
        return {"Unique": unique_df, "Duplicate": dup_df}