import re
import ast
import pandas as pd
import numpy as np


def parse_list_of_lists(cell):
    # Replace newline characters and convert the cell string to a list of lists
    cell = (
        re.sub(r"\s+", ",", cell.replace("\n", ""))
        .replace("[,", "[")
        .replace(",,", ",")
    )
    # cell = cell.strip(', ')
    return ast.literal_eval(cell)


def load_event_df(path):
    """load CSV containing localized events, parsing columns that contain lists"""
    df = pd.read_csv(
        path,
        index_col=0,
        converters={
            "receiver_files": parse_list_of_lists,
            "receiver_locations": parse_list_of_lists,
            "tdoas": parse_list_of_lists,
            "cc_maxs": parse_list_of_lists,
            "receiver_start_time_offsets": parse_list_of_lists,
            "distance_residuals": parse_list_of_lists,
            "location_estimate": parse_list_of_lists,
        },
        parse_dates=["start_timestamp"],
    )
    df["residual_rms"] = np.sqrt(
        df["distance_residuals"].apply(lambda x: np.mean(np.square(x)))
    )
    df["x"] = np.array(list(df.location_estimate.values))[:, 0]
    df["y"] = np.array(list(df.location_estimate.values))[:, 1]

    return df