import numpy as np
import os
from IPython import embed


def load_chirp_spikes(dataset):
    spikes_file = os.path.join(dataset, "chirpspikess1.dat")
    if not os.path.exists(spikes_file):
        print("found no chirps!")
        return {}
    with open(spikes_file, 'r') as f:
        lines = f.readlines()
    spikes = {}
    for l in lines:
        l = l.strip()
        if "index" in l and "chirp" not in l:
            index = int(l.split(":")[-1])
        if "deltaf" in l and "true" not in l:
           df = l.split(":")[-1]
        if "contrast" in l and "true" not in l:
            contrast = l.split(":")[-1]
        if "#Key" in l:
            spikes[(index, df, contrast)] = {}
        if "chirp index" in l:
            ci = int(l.split(":")[-1])
        if "beat phase" in l:
            phase = float(l.split(":")[-1])
            spikes[(index, df, contrast)][(ci, phase)] = []
        if len(l.strip()) != 0 and "#" not in l:
            spikes[(index, df, contrast)][(ci, phase)].append(float(l))
    return spikes


if __name__ == "__main__":
    data_dir = "../data"
    dataset = "2018-11-09-ad-invivo-1"
    spikes = load_chirp_spikes(os.path.join(data_dir, dataset))