# Copyright (C) 2017 Alex Nitz
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Generals
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
"""
This modules contains functions for getting data from the LOSC
"""
from astropy.utils.data import download_file

_losc_url = "https://www.gw-openscience.org/archive/links/%s/%s/%s/%s/json/"

def get_run(time):
    if 1164556817 <= time <= 1187733618:
        return 'O2_16KHZ_R1'
    if 1126051217 <= time <= 1137254417:
        return 'O1'
    elif 815011213 <= time <= 875318414:
        return 'S5'
    elif 930787215 <= time <= 971568015:
        return 'S6'
    else:
        raise ValueError('Time %s not available in a public dataset' % time)

def _get_channel(time):
    if 1164556817 <= time <= 1187733618:
        return 'GWOSC-16KHZ_R1_STRAIN'
    else:
        return 'LOSC-STRAIN'

def losc_frame_json(ifo, start_time, end_time):
    """ Get the information about the public data files in a duration of time

    Parameters
    ----------
    ifo: str
        The name of the IFO to find the information about.
    start_time: int
        The gps time in GPS seconds
    end_time: int
        The end time in GPS seconds

    Returns
    -------
    info: dict
        A dictionary containing information about the files that span the
        requested times.
    """
    import json
    try:
        from urllib.request import urlopen
    except ImportError:  # python < 3
        from urllib import urlopen
    run = get_run(start_time)
    run2 = get_run(end_time)
    if run != run2:
        raise ValueError('Spanning multiple runs is not currently supported.'
                         'You have requested data that uses '
                         'both %s and %s' % (run, run2))

    url = _losc_url % (run, ifo, int(start_time), int(end_time))

    try:
        return json.loads(urlopen(url).read().decode())
    except Exception as e:
        print(e)
        raise ValueError('Failed to find gwf files for '
            'ifo=%s, run=%s, between %s-%s' % (ifo, run, start_time, end_time))

def losc_frame_urls(ifo, start_time, end_time):
    """ Get a list of urls to losc frame files

    Parameters
    ----------
    ifo: str
        The name of the IFO to find the information about.
    start_time: int
        The gps time in GPS seconds
    end_time: int
        The end time in GPS seconds

    Returns
    -------
    frame_files: list
        A dictionary containing information about the files that span the
        requested times.
    """
    data = losc_frame_json(ifo, start_time, end_time)['strain']
    return [d['url'] for d in data if d['format'] == 'gwf']

def read_frame_losc(channels, start_time, end_time):
    """ Read channels from losc data

    Parameters
    ----------
    channels: str or list
        The channel name to read or list of channel names.
    start_time: int
        The gps time in GPS seconds
    end_time: int
        The end time in GPS seconds

    Returns
    -------
    ts: TimeSeries
        Returns a timeseries or list of timeseries with the requested data.
    """
    from pycbc.frame import read_frame
    if not isinstance(channels, list):
        channels = [channels]
    ifos = [c[0:2] for c in channels]
    urls = {}
    for ifo in ifos:
        urls[ifo] = losc_frame_urls(ifo, start_time, end_time)
        if len(urls[ifo]) == 0:
            raise ValueError("No data found for %s so we "
                             "can't produce a time series" % ifo)

    fnames = {ifo:[] for ifo in ifos}
    for ifo in ifos:
        for url in urls[ifo]:
            fname = download_file(url, cache=True)
            fnames[ifo].append(fname)

    ts = [read_frame(fnames[channel[0:2]], channel,
           start_time=start_time, end_time=end_time) for channel in channels]
    if len(ts) == 1:
        return ts[0]
    else:
        return ts

def read_strain_losc(ifo, start_time, end_time):
    """ Get the strain data from the LOSC data

    Parameters
    ----------
    ifo: str
        The name of the IFO to read data for. Ex. 'H1', 'L1', 'V1'
    start_time: int
        The gps time in GPS seconds
    end_time: int
        The end time in GPS seconds

    Returns
    -------
    ts: TimeSeries
        Returns a timeseries with the strain data.
    """
    channel = _get_channel(start_time)
    return read_frame_losc('%s:%s' % (ifo, channel), start_time, end_time)