# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function

import numpy as np
import os
import pytest

from astropy.tests.helper import remote_data
from astropy.table import Table
from astropy.coordinates import SkyCoord
from astropy.io import fits
from astropy.tests.helper import catch_warnings
from astropy.utils.exceptions import AstropyDeprecationWarning

import astropy.units as u

from ... import mast

from ...exceptions import RemoteServiceError


@remote_data
class TestMast(object):

    ###################
    # MastClass tests #
    ###################

    def test_mast_service_request_async(self):
        service = 'Mast.Caom.Cone'
        params = {'ra': 184.3,
                  'dec': 54.5,
                  'radius': 0.2}
        responses = mast.Mast.service_request_async(service, params)

        assert isinstance(responses, list)

    def test_mast_service_request(self):

        # clear columns config
        mast.Mast._column_configs = dict()

        service = 'Mast.Caom.Cone'
        params = {'ra': 184.3,
                  'dec': 54.5,
                  'radius': 0.2}

        result = mast.Mast.service_request(service, params)

        # Is result in the right format
        assert isinstance(result, Table)

        # Are the GALEX observations in the results table
        assert "GALEX" in result['obs_collection']

        # Are the two GALEX observations with obs_id 6374399093149532160 in the results table
        assert len(result[np.where(result["obs_id"] == "6374399093149532160")]) == 2

    def test_mast_sesion_info(self):
        sessionInfo = mast.Mast.session_info(verbose=False)
        assert sessionInfo['ezid'] == 'anonymous'
        assert sessionInfo['token'] is None

    def test_resolve_object(self):
        m101_loc = mast.Mast.resolve_object("M101")
        assert round(m101_loc.separation(SkyCoord("210.80227 54.34895", unit='deg')).value, 4) == 0

        ticobj_loc = mast.Mast.resolve_object("TIC 141914082")
        assert round(ticobj_loc.separation(SkyCoord("94.6175354 -72.04484622", unit='deg')).value, 4) == 0

    ###########################
    # ObservationsClass tests #
    ###########################

    def test_observations_list_missions(self):
        missions = mast.Observations.list_missions()
        assert isinstance(missions, list)
        for m in ['HST', 'HLA', 'GALEX', 'Kepler']:
            assert m in missions

    def test_get_metadata(self):
        # observations
        meta_table = mast.Observations.get_metadata("observations")
        assert isinstance(meta_table, Table)
        assert "Column Name" in meta_table.colnames
        assert "Mission" in meta_table["Column Label"]
        assert "obsid" in meta_table["Column Name"]

        # products
        meta_table = mast.Observations.get_metadata("products")
        assert isinstance(meta_table, Table)
        assert "Column Name" in meta_table.colnames
        assert "Observation ID" in meta_table["Column Label"]
        assert "parent_obsid" in meta_table["Column Name"]

    # query functions

    def test_observations_query_region_async(self):
        responses = mast.Observations.query_region_async("322.49324 12.16683", radius="0.005 deg")
        assert isinstance(responses, list)

    def test_observations_query_region(self):

        # clear columns config
        mast.Observations._column_configs = dict()

        result = mast.Observations.query_region("322.49324 12.16683", radius="0.005 deg")
        assert isinstance(result, Table)
        assert len(result) > 500
        assert result[np.where(result['obs_id'] == '00031992001')]

        result = mast.Observations.query_region("322.49324 12.16683", radius="0.005 deg",
                                                pagesize=1, page=1)
        assert isinstance(result, Table)
        assert len(result) == 1

    def test_observations_query_object_async(self):
        responses = mast.Observations.query_object_async("M8", radius=".02 deg")
        assert isinstance(responses, list)

    def test_observations_query_object(self):

        # clear columns config
        mast.Observations._column_configs = dict()

        result = mast.Observations.query_object("M8", radius=".04 deg")
        assert isinstance(result, Table)
        assert len(result) > 150
        assert result[np.where(result['obs_id'] == 'ktwo200071160-c92_lc')]

    def test_observations_query_criteria_async(self):
        # without position
        responses = mast.Observations.query_criteria_async(dataproduct_type=["image"],
                                                           proposal_pi="*Ost*",
                                                           s_dec=[43.5, 45.5])
        assert isinstance(responses, list)

        # with position
        responses = mast.Observations.query_criteria_async(filters=["NUV", "FUV"],
                                                           objectname="M101")
        assert isinstance(responses, list)

    def test_observations_query_criteria(self):

        # clear columns config
        mast.Observations._column_configs = dict()

        # without position
        result = mast.Observations.query_criteria(instrument_name="*WFPC2*",
                                                  proposal_id=8169,
                                                  t_min=[49335, 51499])

        assert isinstance(result, Table)
        assert len(result) == 57
        assert ((result['obs_collection'] == 'HST') | (result['obs_collection'] == 'HLA')).all()

        # with position
        result = mast.Observations.query_criteria(filters=["NUV", "FUV"],
                                                  obs_collection="GALEX",
                                                  objectname="M101")
        assert isinstance(result, Table)
        assert len(result) == 12
        assert (result['obs_collection'] == 'GALEX').all()
        assert sum(result['filters'] == 'NUV') == 6

        # TEMPORARY test the obstype deprecation
        with catch_warnings(AstropyDeprecationWarning) as warning_lines:
            result = mast.Observations.query_criteria(objectname="M101",
                                                      dataproduct_type="IMAGE", obstype="science")
            assert (result["intentType"] == "science").all()

            result = mast.Observations.query_criteria(objectname="M101",
                                                      dataproduct_type="IMAGE", obstype="cal")
            assert (result["intentType"] == "calibration").all()

        result = mast.Observations.query_criteria(objectname="M101",
                                                  dataproduct_type="IMAGE", intentType="calibration")
        assert (result["intentType"] == "calibration").all()

    # count functions
    def test_observations_query_region_count(self):
        maxRes = mast.Observations.query_criteria_count()
        result = mast.Observations.query_region_count("322.49324 12.16683", radius="0.4 deg")
        assert isinstance(result, (np.int64, int))
        assert result > 1800
        assert result < maxRes

    def test_observations_query_object_count(self):
        maxRes = mast.Observations.query_criteria_count()
        result = mast.Observations.query_object_count("M8", radius=".02 deg")
        assert isinstance(result, (np.int64, int))
        assert result > 150
        assert result < maxRes

    def test_observations_query_criteria_count(self):
        maxRes = mast.Observations.query_criteria_count()
        result = mast.Observations.query_criteria_count(proposal_pi="*Osten*",
                                                        proposal_id=8880)
        assert isinstance(result, (np.int64, int))
        assert result == 7
        assert result < maxRes

    # product functions
    def test_observations_get_product_list_async(self):
        responses = mast.Observations.get_product_list_async('2003738726')
        assert isinstance(responses, list)

        responses = mast.Observations.get_product_list_async('2003738726,3000007760')
        assert isinstance(responses, list)

        observations = mast.Observations.query_object("M8", radius=".02 deg")
        responses = mast.Observations.get_product_list_async(observations[0])
        assert isinstance(responses, list)

        responses = mast.Observations.get_product_list_async(observations[0:4])
        assert isinstance(responses, list)

    def test_observations_get_product_list(self):

        # clear columns config
        mast.Observations._column_configs = dict()

        observations = mast.Observations.query_object("M8", radius=".04 deg")
        test_obs_id = str(observations[0]['obsid'])
        mult_obs_ids = str(observations[0]['obsid']) + ',' + str(observations[1]['obsid'])

        result1 = mast.Observations.get_product_list(test_obs_id)
        result2 = mast.Observations.get_product_list(observations[0])
        assert isinstance(result1, Table)
        assert len(result1) == len(result2)

        result1 = mast.Observations.get_product_list(mult_obs_ids)
        result2 = mast.Observations.get_product_list(observations[0:2])
        assert isinstance(result1, Table)
        assert len(result1) == len(result2)

        obsLoc = np.where(observations["obs_id"] == 'ktwo200071160-c92_lc')
        result = mast.Observations.get_product_list(observations[obsLoc])
        assert isinstance(result, Table)
        assert len(result) == 3

        obsLocs = np.where((observations['target_name'] == 'NGC6523') & (observations['obs_collection'] == "IUE"))
        result = mast.Observations.get_product_list(observations[obsLocs])
        assert isinstance(result, Table)
        assert len(result) == 27

    def test_observations_filter_products(self):
        observations = mast.Observations.query_object("M8", radius=".04 deg")
        obsLoc = np.where(observations["obs_id"] == 'ktwo200071160-c92_lc')
        products = mast.Observations.get_product_list(observations[obsLoc])
        result = mast.Observations.filter_products(products,
                                                   productType=["SCIENCE"],
                                                   mrp_only=False)
        assert isinstance(result, Table)
        assert len(result) == sum(products['productType'] == "SCIENCE")

    def test_observations_download_products(self, tmpdir):
        test_obs_id = '2003600312'
        result = mast.Observations.download_products(test_obs_id,
                                                     download_dir=str(tmpdir),
                                                     productType=["SCIENCE"],
                                                     mrp_only=False)
        assert isinstance(result, Table)
        for row in result:
            if row['Status'] == 'COMPLETE':
                assert os.path.isfile(row['Local Path'])

        # just get the curl script
        result = mast.Observations.download_products(test_obs_id,
                                                     download_dir=str(tmpdir),
                                                     curl_flag=True,
                                                     productType=["SCIENCE"],
                                                     mrp_only=False)
        assert isinstance(result, Table)
        assert os.path.isfile(result['Local Path'][0])

    ######################
    # CatalogClass tests #
    ######################

        # query functions
    def test_catalogs_query_region_async(self):
        responses = mast.Catalogs.query_region_async("158.47924 -7.30962", catalog="Galex")
        assert isinstance(responses, list)

        # Default catalog is HSC
        responses = mast.Catalogs.query_region_async("322.49324 12.16683", radius="0.02 deg")
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_region_async("322.49324 12.16683", radius="0.02 deg",
                                                     catalog="panstarrs", table="mean")
        assert isinstance(responses, list)

    def test_catalogs_query_region(self):

        # clear columns config
        mast.Catalogs._column_configs = dict()

        result = mast.Catalogs.query_region("158.47924 -7.30962", radius=0.1,
                                            catalog="Gaia")
        assert isinstance(result, Table)
        assert len(result) >= 82
        assert result[np.where(result['source_id'] == '3774902350511581696')]

        result = mast.Catalogs.query_region("322.49324 12.16683", catalog="HSC", magtype=2)
        assert isinstance(result, Table)
        assert len(result) == 50000

        result = mast.Catalogs.query_region("322.49324 12.16683", catalog="HSC",
                                            version=2, magtype=2)
        assert isinstance(result, Table)
        assert len(result) == 50000

        result = mast.Catalogs.query_region("322.49324 12.16683", radius=0.01,
                                            catalog="Gaia", version=1)
        assert isinstance(result, Table)
        assert len(result) > 200

        result = mast.Catalogs.query_region("322.49324 12.16683", radius=0.01,
                                            catalog="Gaia", version=2)
        assert isinstance(result, Table)
        assert len(result) > 550

        result = mast.Catalogs.query_region("322.49324 12.16683", radius=0.01,
                                            catalog="panstarrs", table="mean")
        assert isinstance(result, Table)
        assert len(result) > 800

        result = mast.Catalogs.query_region("322.49324 12.16683", radius=0.01,
                                            catalog="panstarrs", table="mean", pagesize=3)
        assert isinstance(result, Table)
        assert len(result) == 3

        result = mast.Catalogs.query_region("158.47924 -7.30962", catalog="Galex")
        assert isinstance(result, Table)
        assert len(result) > 700

        result = mast.Catalogs.query_region("158.47924 -7.30962", catalog="tic")
        assert isinstance(result, Table)
        assert len(result) > 450

        result = mast.Catalogs.query_region("158.47924 -7.30962", catalog="ctl")
        assert isinstance(result, Table)
        assert len(result) > 10

        result = mast.Catalogs.query_region("210.80227 54.34895", radius=1, catalog="diskdetective")
        assert isinstance(result, Table)
        assert len(result) > 10

    def test_catalogs_query_object_async(self):
        responses = mast.Catalogs.query_object_async("M10", radius=.02, catalog="TIC")
        assert isinstance(responses, list)

    def test_catalogs_query_object(self):

        # clear columns config
        mast.Catalogs._column_configs = dict()

        result = mast.Catalogs.query_object("M10", radius=".02 deg", catalog="TIC")
        assert isinstance(result, Table)
        assert len(result) >= 300
        assert result[np.where(result['ID'] == '189844449')]

        result = mast.Catalogs.query_object("M10", radius=.001, catalog="HSC", magtype=1)
        assert isinstance(result, Table)
        assert len(result) >= 50

        result = mast.Catalogs.query_object("M10", radius=.001, catalog="panstarrs", table="mean")
        assert isinstance(result, Table)
        assert len(result) >= 5

        result = mast.Catalogs.query_object("M101", radius=1, catalog="diskdetective")
        assert isinstance(result, Table)
        assert len(result) > 10

        result = mast.Catalogs.query_object("M10", radius=0.01, catalog="Gaia", version=1)
        assert isinstance(result, Table)
        assert len(result) > 200

        result = mast.Catalogs.query_object("TIC 441662144", radius=0.01, catalog="ctl")
        assert isinstance(result, Table)
        assert len(result) == 1

    def test_catalogs_query_criteria_async(self):
        # without position
        responses = mast.Catalogs.query_criteria_async(catalog="Tic",
                                                       Bmag=[30, 50],
                                                       objType="STAR")
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_criteria_async(catalog="ctl",
                                                       Bmag=[30, 50],
                                                       objType="STAR")
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_criteria_async(catalog="DiskDetective",
                                                       state=["inactive", "disabled"],
                                                       oval=[8, 10],
                                                       multi=[3, 7])
        assert isinstance(responses, list)

        # with position
        responses = mast.Catalogs.query_criteria_async(catalog="Tic",
                                                       objectname="M10",
                                                       objType="EXTENDED")
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_criteria_async(catalog="CTL",
                                                       objectname="M10",
                                                       objType="EXTENDED")
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_criteria_async(catalog="DiskDetective",
                                                       objectname="M10",
                                                       radius=2,
                                                       state="complete")
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_criteria_async(catalog="panstarrs", table="mean",
                                                       objectname="M10",
                                                       radius=.02,
                                                       qualityFlag=48)
        assert isinstance(responses, list)

    def test_catalogs_query_criteria(self):

        # clear columns config
        mast.Catalogs._column_configs = dict()

        # without position
        result = mast.Catalogs.query_criteria(catalog="Tic", Bmag=[30, 50], objType="STAR")
        assert isinstance(result, Table)
        assert len(result) >= 10
        assert result[np.where(result['ID'] == '81609218')]

        result = mast.Catalogs.query_criteria(catalog="ctl", Tmag=[10.5, 11], POSflag="2mass")
        assert isinstance(result, Table)
        assert len(result) >= 400
        assert result[np.where(result['ID'] == '291067184')]

        result = mast.Catalogs.query_criteria(catalog="DiskDetective",
                                              state=["inactive", "disabled"],
                                              oval=[8, 10], multi=[3, 7])
        assert isinstance(result, Table)
        assert len(result) >= 30
        assert result[np.where(result['designation'] == 'J003920.04-300132.4')]

        # with position
        result = mast.Catalogs.query_criteria(catalog="Tic", objectname="M10", objType="EXTENDED")
        assert isinstance(result, Table)
        assert len(result) >= 7
        assert result[np.where(result['ID'] == '10000732589')]

        result = mast.Catalogs.query_criteria(objectname='TIC 291067184', catalog="ctl",
                                              Tmag=[10.5, 11], POSflag="2mass")
        assert isinstance(result, Table)
        assert len(result) == 1

        result = mast.Catalogs.query_criteria(catalog="DiskDetective", objectname="M10", radius=2,
                                              state="complete")
        assert isinstance(result, Table)
        assert len(result) >= 5
        assert result[np.where(result['designation'] == 'J165628.40-054630.8')]

        result = mast.Catalogs.query_criteria(catalog="panstarrs", objectname="M10", radius=.01,
                                              qualityFlag=32, zoneID=10306)
        assert isinstance(result, Table)
        assert len(result) >= 5

    def test_catalogs_query_hsc_matchid_async(self):
        catalogData = mast.Catalogs.query_object("M10", radius=.001, catalog="HSC", magtype=1)

        responses = mast.Catalogs.query_hsc_matchid_async(catalogData[0])
        assert isinstance(responses, list)

        responses = mast.Catalogs.query_hsc_matchid_async(catalogData[0]["MatchID"])
        assert isinstance(responses, list)

    def test_catalogs_query_hsc_matchid(self):

        # clear columns config
        mast.Catalogs._column_configs = dict()

        catalogData = mast.Catalogs.query_object("M10", radius=.001, catalog="HSC", magtype=1)
        matchid = catalogData[0]["MatchID"]

        result = mast.Catalogs.query_hsc_matchid(catalogData[0])
        assert isinstance(result, Table)
        assert len(result) >= 8
        assert (result['MatchID'] == matchid).all()

        result = mast.Catalogs.query_hsc_matchid(matchid)
        assert isinstance(result, Table)
        assert len(result) >= 8
        assert (result['MatchID'] == matchid).all()

    def test_catalogs_get_hsc_spectra_async(self):
        responses = mast.Catalogs.get_hsc_spectra_async()
        assert isinstance(responses, list)

    def test_catalogs_get_hsc_spectra(self):

        # clear columns config
        mast.Catalogs._column_configs = dict()

        result = mast.Catalogs.get_hsc_spectra()
        assert isinstance(result, Table)
        assert len(result) >= 45762
        assert result[np.where(result['MatchID'] == '19657846')]

    def test_catalogs_download_hsc_spectra(self, tmpdir):
        allSpectra = mast.Catalogs.get_hsc_spectra()

        # actually download the products
        result = mast.Catalogs.download_hsc_spectra(allSpectra[10], download_dir=str(tmpdir))
        assert isinstance(result, Table)
        for row in result:
            if row['Status'] == 'COMPLETE':
                assert os.path.isfile(row['Local Path'])

        # just get the curl script
        result = mast.Catalogs.download_hsc_spectra(allSpectra[20:24],
                                                    download_dir=str(tmpdir), curl_flag=True)
        assert isinstance(result, Table)
        assert os.path.isfile(result['Local Path'][0])

    ######################
    # TesscutClass tests #
    ######################
    def test_tesscut_get_sectors(self):

        coord = SkyCoord(324.24368, -27.01029, unit="deg")
        sector_table = mast.Tesscut.get_sectors(coordinates=coord)
        assert isinstance(sector_table, Table)
        assert len(sector_table) >= 1
        assert sector_table['sectorName'][0] == "tess-s0001-1-3"
        assert sector_table['sector'][0] == 1
        assert sector_table['camera'][0] == 1
        assert sector_table['ccd'][0] == 3

        # This should always return no results
        coord = SkyCoord(0, 90, unit="deg")
        sector_table = mast.Tesscut.get_sectors(coordinates=coord)
        assert isinstance(sector_table, Table)
        assert len(sector_table) == 0

        sector_table = mast.Tesscut.get_sectors(objectname="M104")
        assert isinstance(sector_table, Table)
        assert len(sector_table) >= 1
        assert sector_table['sectorName'][0] == "tess-s0010-1-4"
        assert sector_table['sector'][0] == 10
        assert sector_table['camera'][0] == 1
        assert sector_table['ccd'][0] == 4

    def test_tesscut_download_cutouts(self, tmpdir):

        coord = SkyCoord(107.18696, -70.50919, unit="deg")

        manifest = mast.Tesscut.download_cutouts(coordinates=coord, size=5, path=str(tmpdir))
        assert isinstance(manifest, Table)
        assert len(manifest) >= 1
        assert manifest["Local Path"][0][-4:] == "fits"
        for row in manifest:
            assert os.path.isfile(row['Local Path'])

        manifest = mast.Tesscut.download_cutouts(coordinates=coord, size=5, sector=1, path=str(tmpdir))
        assert isinstance(manifest, Table)
        assert len(manifest) == 1
        assert manifest["Local Path"][0][-4:] == "fits"
        assert os.path.isfile(manifest[0]['Local Path'])

        manifest = mast.Tesscut.download_cutouts(coordinates=coord, size=[5, 7]*u.pix, path=str(tmpdir))
        assert isinstance(manifest, Table)
        assert len(manifest) >= 1
        assert manifest["Local Path"][0][-4:] == "fits"
        for row in manifest:
            assert os.path.isfile(row['Local Path'])

        manifest = mast.Tesscut.download_cutouts(coordinates=coord, size=5, path=str(tmpdir), inflate=False)
        assert isinstance(manifest, Table)
        assert len(manifest) == 1
        assert manifest["Local Path"][0][-3:] == "zip"
        assert os.path.isfile(manifest[0]['Local Path'])

        manifest = mast.Tesscut.download_cutouts(objectname="TIC 32449963", size=5, path=str(tmpdir))
        assert isinstance(manifest, Table)
        assert len(manifest) >= 1
        assert manifest["Local Path"][0][-4:] == "fits"
        for row in manifest:
            assert os.path.isfile(row['Local Path'])

    def test_tesscut_get_cutouts(self, tmpdir):

        coord = SkyCoord(107.18696, -70.50919, unit="deg")

        cutout_hdus_list = mast.Tesscut.get_cutouts(coordinates=coord, size=5)
        assert isinstance(cutout_hdus_list, list)
        assert len(cutout_hdus_list) >= 1
        assert isinstance(cutout_hdus_list[0], fits.HDUList)

        cutout_hdus_list = mast.Tesscut.get_cutouts(coordinates=coord, size=5, sector=1)
        assert isinstance(cutout_hdus_list, list)
        assert len(cutout_hdus_list) == 1
        assert isinstance(cutout_hdus_list[0], fits.HDUList)

        cutout_hdus_list = mast.Tesscut.get_cutouts(coordinates=coord, size=[2, 4]*u.arcmin)
        assert isinstance(cutout_hdus_list, list)
        assert len(cutout_hdus_list) >= 1
        assert isinstance(cutout_hdus_list[0], fits.HDUList)

        cutout_hdus_list = mast.Tesscut.get_cutouts(objectname="TIC 32449963", size=5)
        assert isinstance(cutout_hdus_list, list)
        assert len(cutout_hdus_list) >= 1
        assert isinstance(cutout_hdus_list[0], fits.HDUList)
