# -*- coding: utf-8 -*-
# Copyright 2025 IRT Saint Exupéry and HECATE European project - All rights reserved
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"""
File data storage module.

This module contains the class to save data to CSV files.
"""
import os

import pandas as pd

from .base_data_storage import BaseDataStorage


class FileDataStorage(BaseDataStorage):
    """Data storage to save data to files."""

    type_name = "file"

    def __init__(self, output_dir, overwrite=True):
        self.output_dir = output_dir

        # Raise error if directory already exists and overwrite is False
        if overwrite is False:
            if os.path.exists(output_dir):
                raise FileExistsError(f"Directory {output_dir} already exists.")

        # Create directory if it does not exist
        if not os.path.exists(output_dir):
            os.makedirs(output_dir)

        # Empty directory
        for f in os.listdir(output_dir):
            os.remove(os.path.join(output_dir, f))

    def save(self, variable_name, data, metadata=None):
        """Save data to a file for the given variable.

        The data must be a list of lists, where each list contains the data for a row
        (time t, value at t).

        Args:
            variable_name (str): variable name.
            data (list): list of lists with the data to save
            metadata (dict, optional): metadata associated with the data.
        """
        with open(self._file_path(variable_name), mode="a", encoding="utf-8") as f:
            for d in data:
                f.write(",".join(map(str, d)) + "\n")

    def load(self, variable_name):
        """Load data from a file for the given variable.

        Args:
            variable_name (str): variable name.

        Returns:
            pd.DataFrame: loaded data.
        """
        return pd.read_csv(self._file_path(variable_name), header="infer")

    def delete(self, variable_name):
        os.remove(self._file_path(variable_name))

    def _file_path(self, variable_name):
        return os.path.join(self.output_dir, f"{variable_name}.csv")
