mirror of
https://github.com/google/earthengine-api.git
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659 lines
23 KiB
Python
659 lines
23 KiB
Python
#!/usr/bin/env python
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"""Test for the ee.image module."""
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import json
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import mock
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import unittest
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import ee
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from ee import _cloud_api_utils
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from ee import apitestcase
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from ee import ee_exception
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from ee import serializer
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class ImageTestCase(apitestcase.ApiTestCase):
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def testConstructors(self):
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"""Verifies that constructors understand valid parameters."""
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from_constant = ee.Image(1)
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self.assertEqual(
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ee.ApiFunction.lookup('Image.constant'), from_constant.func)
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self.assertEqual({'value': 1}, from_constant.args)
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array_constant = ee.Array([1, 2])
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from_array_constant = ee.Image(array_constant)
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self.assertEqual(
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ee.ApiFunction.lookup('Image.constant'), from_array_constant.func)
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self.assertEqual({'value': array_constant}, from_array_constant.args)
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from_id = ee.Image('abcd')
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self.assertEqual(ee.ApiFunction.lookup('Image.load'), from_id.func)
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self.assertEqual({'id': 'abcd'}, from_id.args)
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from_array = ee.Image([1, 2])
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self.assertEqual(ee.ApiFunction.lookup('Image.addBands'), from_array.func)
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self.assertEqual({
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'dstImg': ee.Image(1),
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'srcImg': ee.Image(2)
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}, from_array.args)
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from_computed_object = ee.Image(ee.ComputedObject(None, {'x': 'y'}))
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self.assertEqual({'x': 'y'}, from_computed_object.args)
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original = ee.Image(1)
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from_other_image = ee.Image(original)
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self.assertEqual(from_other_image, original)
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from_nothing = ee.Image()
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self.assertEqual(ee.ApiFunction.lookup('Image.mask'), from_nothing.func)
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self.assertEqual({
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'image': ee.Image(0),
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'mask': ee.Image(0)
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}, from_nothing.args)
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from_id_and_version = ee.Image('abcd', 123)
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self.assertEqual(
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ee.ApiFunction.lookup('Image.load'), from_id_and_version.func)
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self.assertEqual({'id': 'abcd', 'version': 123}, from_id_and_version.args)
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from_variable = ee.Image(ee.CustomFunction.variable(None, 'foo'))
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self.assertIsInstance(from_variable, ee.Image)
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self.assertEqual({
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'type': 'ArgumentRef',
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'value': 'foo'
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}, from_variable.encode(None))
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def testImageSignatures(self):
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"""Verifies that the API functions are added to ee.Image."""
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self.assertTrue(hasattr(ee.Image(1), 'addBands'))
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def testImperativeFunctions(self):
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"""Verifies that imperative functions return ready values."""
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image = ee.Image(1)
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self.assertEqual({'value': 'fakeValue'}, image.getInfo())
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map_id = image.getMapId()
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self.assertEqual('fakeMapId', map_id['mapid'])
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self.assertEqual(image, map_id['image'])
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def testGetMapIdVisualization(self):
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"""Verifies that imperative functions return ready values."""
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image = ee.Image(1)
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image.getMapId({'min': 0})
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self.assertEqual(
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ee.Image(1).visualize(min=0).serialize(),
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self.last_mapid_call['data']['image'].serialize())
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def testCombine(self):
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"""Verifies the behavior of ee.Image.combine_()."""
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image1 = ee.Image([1, 2])
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image2 = ee.Image([3, 4])
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combined = ee.Image.combine_([image1, image2], ['a', 'b', 'c', 'd'])
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self.assertEqual(ee.ApiFunction.lookup('Image.select'), combined.func)
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self.assertEqual(ee.List(['.*']), combined.args['bandSelectors'])
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self.assertEqual(ee.List(['a', 'b', 'c', 'd']), combined.args['newNames'])
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self.assertEqual(
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ee.ApiFunction.lookup('Image.addBands'), combined.args['input'].func)
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self.assertEqual({
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'dstImg': image1,
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'srcImg': image2
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}, combined.args['input'].args)
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def testSelect(self):
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"""Verifies regression in the behavior of empty ee.Image.select()."""
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image = ee.Image([1, 2]).select()
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self.assertEqual(ee.ApiFunction.lookup('Image.select'), image.func)
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self.assertEqual(ee.List([]), image.args['bandSelectors'])
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def testRename(self):
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"""Verifies image.rename varargs handling."""
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image = ee.Image([1, 2]).rename('a', 'b')
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self.assertEqual(ee.ApiFunction.lookup('Image.rename'), image.func)
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self.assertEqual(ee.List(['a', 'b']), image.args['names'])
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image = ee.Image([1, 2]).rename(['a', 'b'])
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self.assertEqual(ee.ApiFunction.lookup('Image.rename'), image.func)
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self.assertEqual(ee.List(['a', 'b']), image.args['names'])
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image = ee.Image([1]).rename('a')
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self.assertEqual(ee.ApiFunction.lookup('Image.rename'), image.func)
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self.assertEqual(ee.List(['a']), image.args['names'])
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def testExpression(self):
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"""Verifies the behavior of ee.Image.expression()."""
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image = ee.Image([1, 2]).expression('a', {'b': 'c'})
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expression_func = image.func
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# The call is buried in a one-time override of .encode so we have to call
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# it rather than comparing the object structure.
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def dummy_encoder(x):
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if isinstance(x, ee.encodable.Encodable):
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return x.encode(dummy_encoder)
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elif isinstance(x, ee.encodable.EncodableFunction):
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return x.encode_invocation(dummy_encoder)
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else:
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return x
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self.assertEqual({
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'type': 'Invocation',
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'functionName': 'Image.parseExpression',
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'arguments': {
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'expression': 'a',
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'argName': 'DEFAULT_EXPRESSION_IMAGE',
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'vars': ['DEFAULT_EXPRESSION_IMAGE', 'b']
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}
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}, dummy_encoder(expression_func))
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def testExpressionInCloudAPI(self):
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"""Verifies the behavior of ee.Image.expression() in the Cloud API."""
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image = ee.Image(1).expression('a', {'b': 'c'})
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self.assertEqual({
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'result': '0',
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'values': {
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'0': {
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'functionInvocationValue': {
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'arguments': {
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'b': {
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'functionInvocationValue': {
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'arguments': {
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'id': {
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'constantValue': 'c'
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}
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},
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'functionName': 'Image.load'
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}
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},
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'DEFAULT_EXPRESSION_IMAGE': {
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'functionInvocationValue': {
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'arguments': {
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'value': {
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'constantValue': 1
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}
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},
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'functionName': 'Image.constant'
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}
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}
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},
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'functionReference': '1'
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}
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},
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'1': {
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'functionInvocationValue': {
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'arguments': {
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'expression': {
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'constantValue': 'a'
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},
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'argName': {
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'valueReference': '2'
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},
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'vars': {
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'arrayValue': {
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'values': [{
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'valueReference': '2'
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}, {
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'constantValue': 'b'
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}]
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}
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}
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},
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'functionName': 'Image.parseExpression'
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}
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},
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'2': {
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'constantValue': 'DEFAULT_EXPRESSION_IMAGE'
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}
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}
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}, serializer.encode(image, for_cloud_api=True))
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def testDownload(self):
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"""Verifies Download ID and URL generation."""
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ee.Image(1).getDownloadURL()
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self.assertEqual('/download', self.last_download_call['url'])
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self.assertEqual(
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ee.Image(1).serialize(),
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self.last_download_call['data']['image'].serialize())
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class CloudThumbnailAndExportImageTests(apitestcase.ApiTestCase):
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def setUp(self): # pylint: disable=g-missing-super-call
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self.InitializeApi(should_mock=False)
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self.cloud_api_resource = mock.MagicMock()
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self.cloud_api_resource.projects().thumbnails().create(
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).execute.return_value = {
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'name': 'thumbName'
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}
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self.cloud_api_resource.projects().algorithms().list(
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).execute.return_value = apitestcase.BUILTIN_FUNCTIONS
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self.base_image = ee.Image(1)
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self.geo_json = {
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'type':
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'Polygon',
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'coordinates': [[
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[-112.587890625, 44.94924926661151],
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[-114.873046875, 39.48708498168749],
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[-103.623046875, 41.82045509614031],
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]],
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}
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self.expected_geometry = ee.Geometry(self.geo_json, opt_geodesic=False)
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def assertImageEqual(self, expected, actual):
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self.assertDictEqual(
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serializer.encode(expected),
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serializer.encode(actual))
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def testThumb_withDimensionsRegionCrs(self):
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"""Verifies Thumbnail ID and URL generation in the Cloud API."""
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with apitestcase.UsingCloudApi(cloud_api_resource=self.cloud_api_resource):
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url = self.base_image.getThumbURL({
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'dimensions': [13, 42],
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'region': self.geo_json,
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'crs': 'EPSG:4326',
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})
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self.assertEqual('None/%s/thumbName:getPixels' % _cloud_api_utils.VERSION,
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url)
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_, kwargs = self.cloud_api_resource.projects().thumbnails(
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).create.call_args
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self.assertEqual(
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kwargs['body']['expression'],
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serializer.encode(
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self.base_image.setDefaultProjection(
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crs='EPSG:4326',
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crsTransform=[1, 0, 0, 0, -1, 0]).clipToBoundsAndScale(
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geometry=ee.Geometry(self.geo_json, opt_geodesic=False),
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width=13,
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height=42)))
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self.assertEqual(kwargs['parent'], 'projects/earthengine-legacy')
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def testThumb_withDimensionsRegionJson(self):
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# Try it with the region as a GeoJSON string.
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with apitestcase.UsingCloudApi(cloud_api_resource=self.cloud_api_resource):
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self.base_image.getThumbURL({
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'dimensions': [13, 42],
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'region': json.dumps(self.geo_json),
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})
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_, kwargs = self.cloud_api_resource.projects().thumbnails(
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).create.call_args
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self.assertEqual(
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kwargs['body']['expression'],
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serializer.encode(
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self.base_image.clipToBoundsAndScale(
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geometry=self.expected_geometry, width=13, height=42)))
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self.assertEqual(kwargs['parent'], 'projects/earthengine-legacy')
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def testThumb_withDimensionsListCoords(self):
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# Try it with the region as a list of coordinates.
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with apitestcase.UsingCloudApi(cloud_api_resource=self.cloud_api_resource):
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self.base_image.getThumbURL({
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'dimensions': [13, 42],
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'region': [[-180, -90], [-180, 90], [180, 90]],
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})
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_, kwargs = self.cloud_api_resource.projects().thumbnails(
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).create.call_args
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expected_geometry = ee.Geometry.Polygon(
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[[-180, -90], [-180, 90], [180, 90]], proj=None, geodesic=False)
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self.assertEqual(
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kwargs['body']['expression'],
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serializer.encode(
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self.base_image.clipToBoundsAndScale(
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geometry=expected_geometry, width=13, height=42)))
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self.assertEqual(kwargs['parent'], 'projects/earthengine-legacy')
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def testThumb_withDimensionsListMinMax(self):
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# Try it with the region as a list of coordinates.
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with apitestcase.UsingCloudApi(cloud_api_resource=self.cloud_api_resource):
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self.base_image.getThumbURL({
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'dimensions': [13, 42],
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'region': [-180, -90, 180, 90],
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})
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_, kwargs = self.cloud_api_resource.projects().thumbnails(
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).create.call_args
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expected_geometry = ee.Geometry.Rectangle(
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[-180, -90, 180, 90], proj=None, geodesic=False)
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self.assertEqual(
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kwargs['body']['expression'],
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serializer.encode(
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self.base_image.clipToBoundsAndScale(
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geometry=expected_geometry, width=13, height=42)))
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self.assertEqual(kwargs['parent'], 'projects/earthengine-legacy')
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def testThumb_withVisualizationParams(self):
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with apitestcase.UsingCloudApi(cloud_api_resource=self.cloud_api_resource):
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self.base_image.getThumbURL({
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'dimensions': [13, 42],
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'region': self.geo_json,
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'min': 0
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})
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_, kwargs = self.cloud_api_resource.projects().thumbnails(
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).create.call_args
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self.assertEqual(
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kwargs['body']['expression'],
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serializer.encode(
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self.base_image.clipToBoundsAndScale(
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geometry=self.expected_geometry, width=13,
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height=42).visualize(min=0)))
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def testBuildDownloadIdImage_buildsImagePerBand(self):
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test_image = ee.Image('foo')
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# Format is file per band and bands specified: build image out of individual
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# band images.
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params = {
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'format':
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'ZIPPED_GEO_TIFF_PER_BAND',
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'bands': [{
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'id': 'B1',
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'dimensions': 123,
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}, {
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'id': 'B2',
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'dimensions': 456,
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}, {
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'id': 'B3',
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'dimensions': 789,
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}],
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(2, image_str.count('addBands'))
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self.assertEqual(3, image_str.count('maxDimension'))
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self.assertEqual(1, image_str.count('123'))
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self.assertEqual(1, image_str.count('456'))
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self.assertEqual(1, image_str.count('789'))
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# Override the parameters supplied in the top level with the bands
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# parameters
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params = {
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'format': 'ZIPPED_GEO_TIFF_PER_BAND',
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'bands': [{
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'id': 'B1',
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'dimensions': 123,
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}, {
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'id': 'B2',
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'dimensions': 456,
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}, {
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'id': 'B3',
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}],
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'dimensions': 999,
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(2, image_str.count('addBands'))
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self.assertEqual(3, image_str.count('maxDimension'))
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self.assertEqual(1, image_str.count('123'))
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self.assertEqual(1, image_str.count('456'))
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self.assertEqual(0, image_str.count('789'))
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self.assertEqual(1, image_str.count('999'))
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def testBuildDownloadIdImage_transformsGivenImage(self):
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test_image = ee.Image('foo')
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# Format is file per band and bands specified: build image out of individual
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# band images.
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params = {
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'format': 'ZIPPED_GEO_TIFF_PER_BAND',
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'bands': [],
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'dimensions': 123,
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(0, image_str.count('addBands'))
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self.assertEqual(1, image_str.count('maxDimension'))
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self.assertEqual(1, image_str.count('123'))
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# Format is file per band and no bands specified: apply transforms directly
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# to image.
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params = {
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'format': 'ZIPPED_GEO_TIFF_PER_BAND',
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'dimensions': 123,
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(0, image_str.count('addBands'))
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self.assertEqual(1, image_str.count('maxDimension'))
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self.assertEqual(1, image_str.count('123'))
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# Format is a single tiff: apply transforms directly to image and ignore
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# band transformation properties.
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params = {
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'format': 'ZIPPED_GEO_TIFF',
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'bands': [{
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'id': 'B1',
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'dimensions': 123,
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}, {
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'id': 'B2',
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'dimensions': 456,
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}, {
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'id': 'B3',
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'dimensions': 789,
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}],
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'dimensions': 999,
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(0, image_str.count('addBands'))
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self.assertEqual(1, image_str.count('maxDimension'))
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self.assertEqual(0, image_str.count('123'))
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self.assertEqual(0, image_str.count('456'))
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self.assertEqual(0, image_str.count('789'))
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self.assertEqual(1, image_str.count('999'))
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def testBuildDownloadIdImage_handlesInvalidParameters(self):
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# No band ID in band dictionary.
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params = {
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'format': 'ZIPPED_GEO_TIFF_PER_BAND',
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'bands': [{
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'id': 'B1',
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'dimensions': 123,
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}, {
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'id': 'B2',
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'dimensions': 456,
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}, {
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'dimensions': 789,
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}],
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'dimensions': 999,
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}
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with self.assertRaisesWithLiteralMatch(
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ee_exception.EEException, 'Each band dictionary must have an id.'):
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ee.Image('foo')._build_download_id_image(params)
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def testBuildDownloadIdImage_handlesDimensionsAndScale(self):
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test_image = ee.Image('foo')
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dimensions = 123
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scale = 456
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# File per band: ignores scale parameter if dimensions specified.
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params = {
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'format': 'ZIPPED_GEO_TIFF_PER_BAND',
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'dimensions': dimensions,
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'scale': scale,
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(1, image_str.count(str(dimensions)))
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self.assertEqual(0, image_str.count(str(scale)))
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# File per band: ignores scale parameter if dimensions specified in band.
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params = {
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'format': 'ZIPPED_GEO_TIFF_PER_BAND',
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'bands': [{
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'id': 'B1',
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'dimensions': dimensions
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}],
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'scale': scale,
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}
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image_str = test_image._build_download_id_image(params).serialize()
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self.assertEqual(1, image_str.count(str(dimensions)))
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self.assertEqual(0, image_str.count(str(scale)))
|
|
|
|
# Single tiff: ignores scale parameter if dimensions specified.
|
|
params = {
|
|
'format': 'ZIPPED_GEO_TIFF',
|
|
'dimensions': dimensions,
|
|
'scale': scale,
|
|
}
|
|
image_str = test_image._build_download_id_image(params).serialize()
|
|
self.assertEqual(1, image_str.count(str(dimensions)))
|
|
self.assertEqual(0, image_str.count(str(scale)))
|
|
|
|
# Single tiff: ignores all parameters in bands.
|
|
params = {
|
|
'format': 'ZIPPED_GEO_TIFF',
|
|
'bands': [{
|
|
'id': 'B1',
|
|
'dimensions': dimensions
|
|
}],
|
|
'scale': scale,
|
|
}
|
|
image_str = test_image._build_download_id_image(params).serialize()
|
|
self.assertEqual(0, image_str.count(str(dimensions)))
|
|
self.assertEqual(1, image_str.count(str(scale)))
|
|
|
|
# Single tiff: ignores all parameters in bands.
|
|
params = {
|
|
'format': 'ZIPPED_GEO_TIFF',
|
|
'bands': [{
|
|
'id': 'B1',
|
|
'scale': scale
|
|
}],
|
|
'dimensions': dimensions,
|
|
}
|
|
image_str = test_image._build_download_id_image(params).serialize()
|
|
self.assertEqual(1, image_str.count(str(dimensions)))
|
|
self.assertEqual(0, image_str.count(str(scale)))
|
|
|
|
def testDownloadURL(self):
|
|
"""Verifies that the getDownloadURL request is constructed correctly."""
|
|
|
|
with apitestcase.UsingCloudApi(cloud_api_resource=self.cloud_api_resource):
|
|
url = self.base_image.getDownloadURL()
|
|
_, kwargs = self.cloud_api_resource.projects().thumbnails(
|
|
).create.call_args
|
|
self.assertEqual(
|
|
serializer.encode(self.base_image, for_cloud_api=True),
|
|
kwargs['body']['expression'])
|
|
self.assertEqual('ZIPPED_GEO_TIFF_PER_BAND', kwargs['body']['fileFormat'])
|
|
self.assertEqual('projects/earthengine-legacy', kwargs['parent'])
|
|
self.assertEqual('None/%s/thumbName:getPixels' % _cloud_api_utils.VERSION,
|
|
url)
|
|
|
|
def testPrepareForExport_simple(self):
|
|
"""Verifies proper handling of export-related parameters."""
|
|
|
|
with apitestcase.UsingCloudApi():
|
|
image, params = self.base_image.prepare_for_export({'something': 'else'})
|
|
self.assertImageEqual(self.base_image, image)
|
|
self.assertEqual({'something': 'else'}, params)
|
|
|
|
def testPrepareForExport_withCrsAndTransform(self):
|
|
with apitestcase.UsingCloudApi():
|
|
image, params = self.base_image.prepare_for_export({
|
|
'crs': 'ABCD',
|
|
'crs_transform': '1,2,3,4,5,6'
|
|
})
|
|
self.assertImageEqual(
|
|
self.base_image.reproject(
|
|
crs='ABCD', crsTransform=[1, 2, 3, 4, 5, 6]), image)
|
|
self.assertEqual({}, params)
|
|
|
|
def testPrepareForExport_invalidCrsAndTransform(self):
|
|
with apitestcase.UsingCloudApi():
|
|
with self.assertRaises(ee_exception.EEException):
|
|
self.base_image.prepare_for_export({'crs_transform': '1,2,3,4,5,6'})
|
|
with self.assertRaises(ValueError):
|
|
self.base_image.prepare_for_export({
|
|
'crs': 'ABCD',
|
|
'crs_transform': 'x'
|
|
})
|
|
|
|
def testPrepareForExport_withPolygon(self):
|
|
with apitestcase.UsingCloudApi():
|
|
polygon = ee.Geometry.Polygon(9, 8, 7, 6, 3, 2)
|
|
image, params = self.base_image.prepare_for_export({
|
|
'dimensions': '3x2',
|
|
'region': polygon
|
|
})
|
|
expected = self.base_image.clipToBoundsAndScale(
|
|
width=3, height=2, geometry=polygon)
|
|
self.assertImageEqual(expected, image)
|
|
self.assertEqual({}, params)
|
|
|
|
def testPrepareForExport_withScaleAndRegion(self):
|
|
with apitestcase.UsingCloudApi():
|
|
polygon = ee.Geometry.Polygon(9, 8, 7, 6, 3, 2)
|
|
image, params = self.base_image.prepare_for_export({
|
|
'scale': 8,
|
|
'region': polygon.toGeoJSONString(),
|
|
'something': 'else'
|
|
})
|
|
expected_polygon = ee.Geometry(polygon.toGeoJSON(), opt_geodesic=False)
|
|
self.assertImageEqual(
|
|
self.base_image.clipToBoundsAndScale(
|
|
scale=8, geometry=expected_polygon), image)
|
|
self.assertEqual({'something': 'else'}, params)
|
|
|
|
def testPrepareForExport_withRegionDimensionsCrsAndTransform(self):
|
|
with apitestcase.UsingCloudApi():
|
|
polygon = ee.Geometry.Polygon(9, 8, 7, 6, 3, 2)
|
|
image, params = self.base_image.prepare_for_export({
|
|
'crs': 'ABCD',
|
|
'crs_transform': '[1,2,3,4,5,6]',
|
|
'dimensions': [3, 2],
|
|
'region': polygon.toGeoJSONString(),
|
|
'something': 'else'
|
|
})
|
|
expected_polygon = ee.Geometry(polygon.toGeoJSON(), opt_geodesic=False)
|
|
projected = self.base_image.reproject(
|
|
crs='ABCD', crsTransform=[1, 2, 3, 4, 5, 6])
|
|
|
|
self.assertImageEqual(
|
|
projected.clipToBoundsAndScale(
|
|
width=3, height=2, geometry=expected_polygon), image)
|
|
self.assertEqual({'something': 'else'}, params)
|
|
|
|
def testPrepareForExport_withDimensionsCrsAndTransform(self):
|
|
with apitestcase.UsingCloudApi():
|
|
# Special case of crs+transform+two dimensions
|
|
image, params = self.base_image.prepare_for_export({
|
|
'crs': 'ABCD',
|
|
'crs_transform': [1, 2, 3, 4, 5, 6],
|
|
'dimensions': [3, 2],
|
|
'something': 'else'
|
|
})
|
|
reprojected_image = self.base_image.reproject(
|
|
crs='ABCD', crsTransform=[1, 2, 3, 4, 5, 6])
|
|
|
|
self.assertEqual(
|
|
reprojected_image.clip(
|
|
ee.Geometry.Rectangle(
|
|
coords=[0, 0, 3, 2],
|
|
proj=reprojected_image.projection(),
|
|
geodesic=False,
|
|
evenOdd=True)), image)
|
|
self.assertEqual({'something': 'else'}, params)
|
|
|
|
def testPrepareForExport_withCrsNoTransform(self):
|
|
with apitestcase.UsingCloudApi():
|
|
# CRS with no crs_transform causes a "soft" reprojection. Make sure that
|
|
# the (crs, crsTransform, dimensions) special case doesn't trigger.
|
|
image, params = self.base_image.prepare_for_export({
|
|
'crs': 'ABCD',
|
|
'dimensions': [3, 2],
|
|
'something': 'else'
|
|
})
|
|
projected = self.base_image.setDefaultProjection(
|
|
crs='ABCD', crsTransform=[1, 0, 0, 0, -1, 0])
|
|
|
|
self.assertEqual(projected.clipToBoundsAndScale(width=3, height=2), image)
|
|
self.assertEqual({'something': 'else'}, params)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|