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test_wfs.py
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'''Test for WFS calls'''
import json
from datetime import datetime
import textwrap
import unittest
from numpy import nan
import geopandas as gpd
import geopandas.testing # pylint: disable=unused-import
from shapely.geometry import Point
import geoengine_openapi_client
import geoengine as ge
from . import UrllibMocker
class WfsTests(unittest.TestCase):
'''WFS test runner'''
def setUp(self) -> None:
ge.reset(False)
def test_geopandas(self):
with UrllibMocker() as m:
m.post('http://mock-instance/anonymous', json={
"id": "e327d9c3-a4f3-4bd7-a5e1-30b26cae8064",
"user": {
"id": "328ca8d1-15d7-4f59-a989-5d5d72c98744",
},
"created": "2021-06-08T15:22:22.605891994Z",
"validUntil": "2021-06-08T16:22:22.605892183Z",
"project": None,
"view": None
})
m.post('http://mock-instance/workflow',
json={
"id": "956d3656-2d14-5951-96a0-f962b92371cd"
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get('http://mock-instance/workflow/956d3656-2d14-5951-96a0-f962b92371cd/metadata',
json={
"type": "vector",
'dataType': 'MultiPoint',
'spatialReference': 'EPSG:4326',
'columns': {
'scalerank': {
'dataType': 'int',
'measurement': {
'type': 'unitless'
},
},
'NDVI': {
'dataType': 'int',
'measurement': {
'type': 'continuous',
'measurement': 'vegetation',
},
},
'featurecla': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'natlscale': {
'dataType': 'float',
'measurement': {
'type': 'unitless'
},
},
'website': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'name': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
}
}
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get(
# pylint: disable=line-too-long
'http://mock-instance/wfs/956d3656-2d14-5951-96a0-f962b92371cd?version=2.0.0&service=WFS&request=GetFeature&typeNames=956d3656-2d14-5951-96a0-f962b92371cd&bbox=-60.0%2C5.0%2C61.0%2C6.0&time=2014-04-01T12%3A00%3A00.000%2B00%3A00&srsName=EPSG%3A4326&queryResolution=0.1%2C0.1',
json={
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
0.007420495,
5.631944444
]
},
"properties": {
"scalerank": 7,
"website": "www.ghanaports.gov.gh",
"NDVI": None,
"natlscale": 10.0,
"featurecla": "Port",
"name": "Tema"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-10.05265018,
5.858055556
]
},
"properties": {
"scalerank": 7,
"website": "www.nationalportauthorityliberia.org",
"NDVI": 178,
"natlscale": 10.0,
"featurecla": "Port",
"name": "Buchanan"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-57.00176678,
5.951666667
]
},
"properties": {
"scalerank": 6,
"website": None,
"NDVI": 108,
"natlscale": 20.0,
"featurecla": "Port",
"name": "Nieuw Nickerie"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-3.966666667,
5.233055556
]
},
"properties": {
"scalerank": 5,
"website": "www.paa-ci.org",
"NDVI": 99,
"natlscale": 30.0,
"featurecla": "Port",
"name": "Abidjan"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-52.62426384,
5.158888889
]
},
"properties": {
"scalerank": 5,
"website": None,
"NDVI": 159,
"natlscale": 30.0,
"featurecla": "Port",
"name": "Kourou"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-55.13898704,
5.82
]
},
"properties": {
"scalerank": 5,
"website": None,
"NDVI": 128,
"natlscale": 30.0,
"featurecla": "Port",
"name": "Paramaribo"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-4.021260306,
5.283333333
]
},
"properties": {
"scalerank": 3,
"website": "www.paa-ci.org",
"NDVI": 126,
"natlscale": 75.0,
"featurecla": "Port",
"name": "Abidjan"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
}
]
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
ge.initialize("http://mock-instance")
workflow_definition = {
"type": "Vector",
"operator": {
"type": "RasterVectorJoin",
"params": {
"names": ["NDVI"],
"aggregation": "none"
},
"sources": {
"vector": {
"type": "OgrSource",
"params": {
"data": {
"type": "internal",
"datasetId": "a9623a5b-b6c5-404b-bc5a-313ff72e4e75"
},
"attributeProjection": None
}
},
"rasters": [{
"type": "GdalSource",
"params": {
"data": {
"type": "internal",
"datasetId": "36574dc3-560a-4b09-9d22-d5945f2b8093"
}
}
}]
},
}
}
time = datetime.strptime(
'2014-04-01T12:00:00.000Z', ge.DEFAULT_ISO_TIME_FORMAT)
workflow = ge.register_workflow(workflow_definition)
df = workflow.get_dataframe(
ge.QueryRectangle(
ge.BoundingBox2D(-60.0, 5.0, 61.0, 6.0),
ge.TimeInterval(time, time),
ge.SpatialResolution(0.1, 0.1)
)
)
self.assertEqual(len(m.request_history), 4)
workflow_request = m.request_history[1]
self.assertEqual(workflow_request["method"], "POST")
self.assertEqual(workflow_request["url"],
"http://mock-instance/workflow")
self.assertEqual(json.loads(workflow_request["body"]), workflow_definition)
# note: the result descriptor is retrieved upon workflow registration (constructor),
# thus the actual WFS request is in the 4th history slot
wfs_request = m.request_history[3]
self.assertEqual(wfs_request["method"], "GET")
self.assertEqual(
# pylint: disable=line-too-long
wfs_request["url"],
"http://mock-instance/wfs/956d3656-2d14-5951-96a0-f962b92371cd?version=2.0.0&service=WFS&request=GetFeature&typeNames=956d3656-2d14-5951-96a0-f962b92371cd&bbox=-60.0%2C5.0%2C61.0%2C6.0&time=2014-04-01T12%3A00%3A00.000%2B00%3A00&srsName=EPSG%3A4326&queryResolution=0.1%2C0.1"
)
expected_df = gpd.GeoDataFrame(
# pylint: disable=line-too-long
{
"geometry": [
Point(0.007420495, 5.631944444),
Point(-10.05265018, 5.858055556),
Point(-57.00176678, 5.951666667),
Point(-3.966666667, 5.233055556),
Point(-52.62426384, 5.158888889),
Point(-55.13898704, 5.82),
Point(-4.021260306, 5.283333333),
],
"scalerank": [7, 7, 6, 5, 5, 5, 3],
"website": ["www.ghanaports.gov.gh", "www.nationalportauthorityliberia.org", None, "www.paa-ci.org", None, None, "www.paa-ci.org"],
"NDVI": [nan, 178.0, 108.0, 99.0, 159.0, 128.0, 126.0],
"natlscale": [10.0, 10.0, 20.0, 30.0, 30.0, 30.0, 75.0],
"featurecla": ["Port", "Port", "Port", "Port", "Port", "Port", "Port"],
"name": ["Tema", "Buchanan", "Nieuw Nickerie", "Abidjan", "Kourou", "Paramaribo", "Abidjan"],
"start": [datetime.strptime(
'2014-04-01T00:00:00.000Z', ge.DEFAULT_ISO_TIME_FORMAT) for _ in range(7)],
"end": [datetime.strptime(
'2014-05-01T00:00:00.000Z', ge.DEFAULT_ISO_TIME_FORMAT) for _ in range(7)],
},
geometry="geometry",
crs="EPSG:4326",
)
gpd.testing.assert_geodataframe_equal(df, expected_df)
def test_wfs_error(self):
with UrllibMocker() as m:
m.post('http://mock-instance/anonymous', json={
"id": "e327d9c3-a4f3-4bd7-a5e1-30b26cae8064",
"user": {
"id": "328ca8d1-15d7-4f59-a989-5d5d72c98744",
},
"created": "2021-06-08T15:22:22.605891994Z",
"validUntil": "2021-06-08T16:22:22.605892183Z",
"project": None,
"view": None
})
m.post('http://mock-instance/workflow',
json={
"id": "956d3656-2d14-5951-96a0-f962b92371cd"
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get('http://mock-instance/workflow/956d3656-2d14-5951-96a0-f962b92371cd/metadata',
json={
"type": "vector",
"dataType": "MultiPoint",
"spatialReference": "EPSG:4326",
"columns": {
'scalerank': {
'dataType': 'int',
'measurement': {
'type': 'unitless'
},
},
'NDVI': {
'dataType': 'int',
'measurement': {
'type': 'continuous',
'measurement': 'vegetation',
},
},
'featurecla': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'natlscale': {
'dataType': 'float',
'measurement': {
'type': 'unitless'
},
},
'website': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'name': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
}
}
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get(
# pylint: disable=line-too-long
'http://mock-instance/wfs/956d3656-2d14-5951-96a0-f962b92371cd?version=2.0.0&service=WFS&request=GetFeature&typeNames=956d3656-2d14-5951-96a0-f962b92371cd&bbox=-60.0%2C5.0%2C61.0%2C6.0&time=2004-04-01T12%3A00%3A00.000%2B00%3A00&srsName=EPSG%3A4326&queryResolution=0.1%2C0.1',
json={
"error": "Operator",
"message": 'Operator: Could not open gdal dataset for file path '
'"test_data/raster/modis_ndvi/MOD13A2_M_NDVI_2004-04-01.TIFF"'
},
status_code=400,
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'}
)
ge.initialize("http://mock-instance")
workflow_definition = {
"type": "Vector",
"operator": {
"type": "RasterVectorJoin",
"params": {
"names": ["NDVI"],
"featureAggregation": "first",
"temporalAggregation": "none"
},
"sources": {
"vector": {
"type": "OgrSource",
"params": {
"data": {
"type": "internal",
"datasetId": "a9623a5b-b6c5-404b-bc5a-313ff72e4e75"
},
"attributeProjection": None
}
},
"rasters": [{
"type": "GdalSource",
"params": {
"data": {
"type": "internal",
"datasetId": "36574dc3-560a-4b09-9d22-d5945f2b8093"
}
}
}]
}
}
}
time = datetime.strptime(
'2004-04-01T12:00:00.000Z', ge.DEFAULT_ISO_TIME_FORMAT)
workflow = ge.register_workflow(workflow_definition)
with self.assertRaises(ge.BadRequestException) as ctx:
workflow.get_dataframe(
ge.QueryRectangle(
ge.BoundingBox2D(-60.0, 5.0, 61.0, 6.0),
ge.TimeInterval(time),
ge.SpatialResolution(0.1, 0.1)
)
)
self.assertEqual(str(ctx.exception),
'Operator: Operator: Could not open gdal dataset for file path '
'"test_data/raster/modis_ndvi/MOD13A2_M_NDVI_2004-04-01.TIFF"')
def test_repr(self):
with UrllibMocker() as m:
m.post('http://mock-instance/anonymous', json={
"id": "e327d9c3-a4f3-4bd7-a5e1-30b26cae8064",
"user": {
"id": "328ca8d1-15d7-4f59-a989-5d5d72c98744",
},
"created": "2021-06-08T15:22:22.605891994Z",
"validUntil": "2021-06-08T16:22:22.605892183Z",
"project": None,
"view": None
})
m.get('http://mock-instance/workflow/foobar/metadata',
json={
"type": "vector",
'dataType': 'MultiPoint',
'spatialReference': 'EPSG:4326',
'columns': {
'scalerank': {
'dataType': 'int',
'measurement': {
'type': 'unitless'
},
},
'NDVI': {
'dataType': 'int',
'measurement': {
'type': 'continuous',
'measurement': 'vegetation',
},
},
'featurecla': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'natlscale': {
'dataType': 'float',
'measurement': {
'type': 'unitless'
},
},
'website': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'name': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
}
}
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
ge.initialize("http://mock-instance")
workflow = ge.workflow_by_id("foobar")
self.assertEqual(repr(workflow), "foobar")
def test_result_descriptor(self):
with UrllibMocker() as m:
m.post('http://mock-instance/anonymous', json={
"id": "e327d9c3-a4f3-4bd7-a5e1-30b26cae8064",
"user": {
"id": "328ca8d1-15d7-4f59-a989-5d5d72c98744",
},
"created": "2021-06-08T15:22:22.605891994Z",
"validUntil": "2021-06-08T16:22:22.605892183Z",
"project": None,
"view": None
})
m.get('http://mock-instance/workflow/4cdf1ffe-cb67-5de2-a1f3-3357ae0112bd/metadata',
json={
"type": "vector",
'dataType': 'MultiPoint',
'spatialReference': 'EPSG:4326',
'columns': {
'scalerank': {
'dataType': 'int',
'measurement': {
'type': 'unitless'
},
},
'NDVI': {
'dataType': 'int',
'measurement': {
'type': 'continuous',
'measurement': 'vegetation',
},
},
'featurecla': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'natlscale': {
'dataType': 'float',
'measurement': {
'type': 'unitless'
},
},
'website': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'name': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
}
}
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get('http://mock-instance/workflow/foo/metadata',
status_code=404,
json={
'error': 'NotFound',
'message': 'Not Found',
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
ge.initialize("http://mock-instance")
workflow = ge.workflow_by_id(
'4cdf1ffe-cb67-5de2-a1f3-3357ae0112bd')
result_descriptor = workflow.get_result_descriptor()
expected_repr = '''\
Data type: MultiPoint
Spatial Reference: EPSG:4326
Columns:
scalerank:
Column Type: int
Measurement: unitless
NDVI:
Column Type: int
Measurement: vegetation
featurecla:
Column Type: text
Measurement: unitless
natlscale:
Column Type: float
Measurement: unitless
website:
Column Type: text
Measurement: unitless
name:
Column Type: text
Measurement: unitless
'''
self.assertEqual(
repr(result_descriptor),
textwrap.dedent(expected_repr)
)
with self.assertRaises(ge.NotFoundException) as exception:
workflow = ge.workflow_by_id('foo')
result_descriptor = workflow.get_result_descriptor()
self.assertEqual(str(exception.exception),
'NotFound: Not Found')
def test_workflow_retrieval(self):
workflow_definition = {
"type": "Vector",
"operator": {
"type": "RasterVectorJoin",
"params": {
"names": [
"NDVI"
],
"featureAggregation": "first",
"temporalAggregation": "none"
},
"sources": {
"vector": {
"type": "OgrSource",
"params": {
"data": {
"type": "internal",
"datasetId": "a9623a5b-b6c5-404b-bc5a-313ff72e4e75"
},
"attributeProjection": None
}
},
"rasters": [
{
"type": "GdalSource",
"params": {
"data": {
"type": "internal",
"datasetId": "36574dc3-560a-4b09-9d22-d5945f2b8093"
}
}
}
]
}
}
}
with UrllibMocker() as m:
m.post('http://mock-instance/anonymous', json={
"id": "c4983c3e-9b53-47ae-bda9-382223bd5081",
"project": None,
"view": None
})
m.post('http://mock-instance/workflow',
json={
"id": "4a2cb6e0-a3e3-53e4-9a0f-ed1cf2e4c3b7"
},
request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'})
m.get('http://mock-instance/workflow/4a2cb6e0-a3e3-53e4-9a0f-ed1cf2e4c3b7/metadata',
json={
"type": "vector",
"dataType": "MultiPoint",
"spatialReference": "EPSG:4326",
"columns": {
'scalerank': {
'dataType': 'int',
'measurement': {
'type': 'unitless'
},
},
'NDVI': {
'dataType': 'int',
'measurement': {
'type': 'continuous',
'measurement': 'vegetation',
},
},
'featurecla': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'natlscale': {
'dataType': 'float',
'measurement': {
'type': 'unitless'
},
},
'website': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
},
'name': {
'dataType': 'text',
'measurement': {
'type': 'unitless'
},
}
}
},
request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'})
m.get('http://mock-instance/workflow/4a2cb6e0-a3e3-53e4-9a0f-ed1cf2e4c3b7',
json=workflow_definition,
request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'})
ge.initialize("http://mock-instance")
workflow = ge.register_workflow(workflow_definition)
self.assertEqual(
workflow.workflow_definition().to_dict(),
workflow_definition
)
def test_owslib_user_agent(self):
with UrllibMocker() as m:
m.post('http://mock-instance/anonymous', json={
"id": "e327d9c3-a4f3-4bd7-a5e1-30b26cae8064",
"user": {
"id": "328ca8d1-15d7-4f59-a989-5d5d72c98744",
},
"created": "2021-06-08T15:22:22.605891994Z",
"validUntil": "2021-06-08T16:22:22.605892183Z",
"project": None,
"view": None
})
m.post('http://mock-instance/workflow',
json={
"id": "956d3656-2d14-5951-96a0-f962b92371cd"
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get('http://mock-instance/workflow/956d3656-2d14-5951-96a0-f962b92371cd/metadata',
json={
"type": "vector",
"dataType": "MultiPoint",
"spatialReference": "EPSG:4326",
"columns": {}
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064'})
m.get(
# pylint: disable=line-too-long
'http://mock-instance/wfs/956d3656-2d14-5951-96a0-f962b92371cd?version=2.0.0&service=WFS&request=GetFeature&typeNames=956d3656-2d14-5951-96a0-f962b92371cd&bbox=-60.0%2C5.0%2C61.0%2C6.0&time=2004-04-01T12%3A00%3A00.000%2B00%3A00&srsName=EPSG%3A4326&queryResolution=0.1%2C0.1',
json={
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-4.021260306,
5.283333333
]
},
"properties": {
"scalerank": 3,
"website": "www.paa-ci.org",
"NDVI": 126,
"natlscale": 75.0,
"featurecla": "Port",
"name": "Abidjan"
},
"when": {
"start": "2014-04-01T00:00:00+00:00",
"end": "2014-05-01T00:00:00+00:00",
"type": "Interval"
}
}]
},
request_headers={'Authorization': 'Bearer e327d9c3-a4f3-4bd7-a5e1-30b26cae8064',
'User-Agent': f'geoengine/openapi-client/python/{geoengine_openapi_client.__version__}'}
)
ge.initialize("http://mock-instance")
workflow_definition = {
"type": "Vector",
"operator": {
"type": "OgrSource",
"params": {
"data": {
"type": "internal",
"datasetId": "a9623a5b-b6c5-404b-bc5a-313ff72e4e75"
},
"attributeProjection": None
}
},
}
time = datetime.strptime(
'2004-04-01T12:00:00.000Z', ge.DEFAULT_ISO_TIME_FORMAT)
workflow = ge.register_workflow(workflow_definition)
df = workflow.get_dataframe(
ge.QueryRectangle(
ge.BoundingBox2D(-60.0, 5.0, 61.0, 6.0),
ge.TimeInterval(time),
ge.SpatialResolution(0.1, 0.1)
)
)
self.assertTrue(df is not None)
if __name__ == '__main__':
unittest.main()