#!/usr/bin/env python

import os
import numpy as np
import gippy
import unittest
import gippy.algorithms as alg
import gippy.test as gpt
from nose.tools import raises

"""
Included are some tests for doing processing in NumPy instead of Gippy,
for doing speed comparisons. To see the durations of each test use:
    $ nosetests test --with-timer -v
"""


class GeoRasterTests(unittest.TestCase):
    """ Speed tests vs NumPy """

    def setUp(self):
        """ Configure options """
        gippy.Options.set_verbose(1)
        gippy.Options.set_chunksize(128.0)

    def test_sqrt(self):
        """ Calculate sqrt of image """
        geoimg = gpt.get_test_image()
        for band in geoimg:
            vals = band.sqrt().read()
            mask = band.data_mask() == 1
            # check against numpy
            arr = band.read()

    def test_stats(self):
        """ Calculate statistics using gippy """
        geoimg = gpt.get_test_image()
        for band in geoimg:
            stats = band.stats()
            mask = band.data_mask() == 1
            # check against numpy
            arr = band.read()
            self.assertAlmostEqual(arr[mask].min(), stats[0])
            self.assertAlmostEqual(arr[mask].max(), stats[1])
            self.assertAlmostEqual(arr[mask].mean(), stats[2], places=2)

    def test_write(self):
        """ Test writing arrays of different datatype """
        geoimg = gippy.GeoImage.create(xsz=100, ysz=100, dtype='uint8')
        arr = np.ones((100, 100)).astype('uint8')
        geoimg[0].write(arr)
        self.assertTrue(np.array_equal(arr, geoimg[0].read()))
        arr = np.ones((100, 100)).astype('float32')
        geoimg[0].write(arr)
        self.assertTrue(np.array_equal(arr, geoimg[0].read()))

    @raises(TypeError)
    def test_invalid_args(self):
        """ Test passing invalid arguments """
        geoimg = gippy.GeoImage.create(xsz=100, ysz=100, dtype='uint8')
        geoimg[0].write('invalid arg')

    def test_histogram(self):
        """ Test histogram """
        geoimg = gippy.GeoImage.create(xsz=10, ysz=10, nb=2)
        arr = np.arange(10).reshape(1, 10) + 1
        for i in range(9):
            arr = np.append(arr, arr, axis=0)
        geoimg[0].write(arr.astype('uint8'))
        hist = geoimg[0].histogram(bins=10, normalize=False)
        self.assertEqual(hist[0], 10)
        self.assertEqual(hist.sum(), geoimg.size())
        hist = geoimg[0].histogram(bins=10)
        self.assertAlmostEqual(hist.sum(), 1.0)
        self.assertAlmostEqual(hist[0], 0.1)
        hist = geoimg[0].histogram(bins=10, normalize=False, cumulative=True)
        self.assertAlmostEqual(hist[-1], geoimg.size())

    def test_real_histogram(self):
        """ Test histogram of real data """
        geoimg = gpt.get_test_image()
        hist = geoimg[0].histogram(normalize=False)
        self.assertEqual(len(hist), 100)
        self.assertEqual(hist.sum(), geoimg.size())

    def test_ndvi(self):
        """ Test NDVI using gippy """
        geoimg = gpt.get_test_image()
        fout = os.path.splitext(geoimg.filename())[0] + '_gippy_ndvi.tif'
        alg.indices(geoimg, {'ndvi': fout})
        geoimg = None
        os.remove(fout)

    def test_ndvi_numpy(self):
        """ Test NDVI separately using numpy for speed comparison """
        geoimg = gpt.get_test_image()
        nodata = geoimg[0].nodata()
        red = geoimg['RED'].read().astype('double')
        nir = geoimg['NIR'].read().astype('double')
        ndvi = np.zeros(red.shape) + nodata
        inds = np.logical_and(red != nodata, nir != nodata)
        ndvi[inds] = (nir[inds] - red[inds])/(nir[inds] + red[inds])
        fout = os.path.splitext(geoimg.filename())[0] + '_numpy_ndvi.tif'
        geoimgout = gippy.GeoImage.create_from(geoimg, fout, dtype="float64")
        geoimgout[0].write(ndvi)
        geoimgout = None
        geoimg = None
        os.remove(fout)

    def test_scale(self):
        """ Scale image to byte range """
        geoimg = gpt.get_test_image()
        for band in geoimg:
            band = band.autoscale(minout=1, maxout=255, percent=2.0)
            self.assertTrue(band.min() == 1)
            self.assertTrue(band.max() == 255)

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