import numpy as np
import datajoint as dj
import nixio as nix
import os
import glob
from util import read_info_file, find_key_recursive, deep_get
from IPython import embed
import datetime as dt

data_dir = 'data'
schema = dj.schema("fish_book", locals())


@schema
class Dataset(dj.Manual):
    definition = """ # Datasets
       dataset_id : varchar(256)
       ----
       data_source : varchar(512) # path to the dataset
       experimenter : varchar(512) 
       recording_date : date
       has_nix : bool
       """

    @staticmethod
    def get_template_tuple(id=None):
        if id is not None:
            d = dict((Dataset() & {"dataset_id": id}).fetch1())
            return d
        return dict(dataset_id=None, data_source="", experimenter="", recording_date=None, has_nix=False)

    @staticmethod
    def get_nix_file(key):
        dset = (Dataset() & key).fetch1()
        if dset["ignore"]:
            return None
        file_path = os.path.join(dset["data_source"], dset["dataset_id"] + ".nix")
        if not (os.path.exists(file_path)):
            print("\t No nix file found for path: %s" % dset["data_source"])
            return None
        if not Dataset.check_file_integrity(file_path):
            return None
        return file_path

    @staticmethod
    def check_file_integrity(nix_file):
        sane = True
        try:
            f = nix.File.open(nix_file, nix.FileMode.ReadOnly)
            b = f.blocks[0]
            m = b.metadata
            if "Recording" not in m.sections:
                Warning("\t Could not find Recording section in dataset: %s" % nix_file)
                sane = False
            f.close()
        except ():
            print("file: %s is NOT SANE!")
            sane = False
        return sane


def read_info(info_file):
    if not os.path.exists(info_file):
        return None, None, False
    has_nix = len(glob.glob(os.path.sep.join(info_file.split(os.path.sep)[:-1]) + os.path.sep + "*.nix")) > 0
    info = read_info_file(info_file)
    p = []
    find_key_recursive(info, "Experimenter", p)
    if len(p) > 0:
        exp = deep_get(info, p)
    p = []
    find_key_recursive(info, "Date", p)
    if len(p) > 0:
        rec_date = dt.date.fromisoformat(deep_get(info, p))
    return exp, rec_date, has_nix


def populate_datasets(data_path):
    print("Importing dataset %s" % data_path)
    if not os.path.exists(data_path):
        return
    dset_name = os.path.split(data_path)[-1]
    experimenter, rec_date, has_nix = read_info(os.path.join(data_path, 'info.dat'))
    if not experimenter:
        return

    inserts = Dataset.get_template_tuple()
    inserts["dataset_id"] = dset_name
    inserts["data_source"] = data_path
    inserts["experimenter"] = experimenter
    inserts["recording_date"] = rec_date
    inserts["has_nix"] = has_nix

    Dataset().insert1(inserts, skip_duplicates=True)


if __name__ == "__main__":
    datasets = glob.glob('/data/apteronotus/2018-05-08*')
    for d in datasets:
        populate_datasets(d)