def get_search_object(self):
"""Get an instance of the search object for this type.
Returns
-------
pydov.search.interpretaties.GeotechnischeCoderingSearch
Instance of GeotechnischeCoderingSearch used for searching.
"""
return GeotechnischeCoderingSearch()
GeotechnischeCoderingSearch, HydrogeologischeStratigrafieSearch,
InformeleHydrogeologischeStratigrafieSearch, InformeleStratigrafieSearch,
LithologischeBeschrijvingenSearch, QuartairStratigrafieSearch)
from pydov.search.sondering import SonderingSearch
from pydov.util.errors import InvalidSearchParameterError
from pydov.util.location import Point, WithinDistance
from tests.abstract import service_ok
search_objects = [
BoringSearch(),
SonderingSearch(),
GrondwaterFilterSearch(),
GrondwaterMonsterSearch(),
FormeleStratigrafieSearch(),
InformeleHydrogeologischeStratigrafieSearch(),
GeotechnischeCoderingSearch(),
QuartairStratigrafieSearch(),
InformeleStratigrafieSearch(),
HydrogeologischeStratigrafieSearch(),
GecodeerdeLithologieSearch(),
LithologischeBeschrijvingenSearch(),
GrondmonsterSearch()
]
@pytest.mark.parametrize("objectsearch", search_objects)
def test_get_description(mp_wfs, objectsearch):
"""Test the get_description method.
Test whether the method returns a non-empty string.
class TestGeotechnischeCoderingSearch(AbstractTestSearch):
search_instance = GeotechnischeCoderingSearch()
datatype_class = GeotechnischeCodering
valid_query_single = PropertyIsEqualTo(propertyname='Proefnummer',
literal='GEO-15/139-B1')
inexistent_field = 'onbestaand'
wfs_field = 'Proefnummer'
xml_field = 'grondsoort'
valid_returnfields = ('pkey_interpretatie',
'betrouwbaarheid_interpretatie')
valid_returnfields_subtype = ('pkey_interpretatie', 'diepte_laag_van',
'diepte_laag_tot')
valid_returnfields_extra = ('pkey_interpretatie', 'gemeente')
df_default_columns = [
'pkey_interpretatie', 'pkey_boring', 'betrouwbaarheid_interpretatie',
'x', 'y', 'diepte_laag_van', 'diepte_laag_tot',
'hoofdnaam1_grondsoort', 'hoofdnaam2_grondsoort',
'bijmenging1_plaatselijk', 'bijmenging1_hoeveelheid',
'bijmenging1_grondsoort', 'bijmenging2_plaatselijk',
'bijmenging2_hoeveelheid', 'bijmenging2_grondsoort',
'bijmenging3_plaatselijk', 'bijmenging3_hoeveelheid',
'bijmenging3_grondsoort'
]
def test_search_nan(self, mp_wfs, mp_get_schema,
mp_remote_describefeaturetype, mp_remote_md,
mp_remote_fc, mp_remote_wfs_feature, mp_dov_xml):
"""Test the search method with only the query parameter.
Test whether the result is correct.
Parameters
----------
mp_wfs : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
mp_get_schema : pytest.fixture
Monkeypatch the call to a remote OWSLib schema.
mp_remote_describefeaturetype : pytest.fixture
Monkeypatch the call to a remote DescribeFeatureType.
mp_remote_md : pytest.fixture
Monkeypatch the call to get the remote metadata.
mp_remote_fc : pytest.fixture
Monkeypatch the call to get the remote feature catalogue.
mp_remote_wfs_feature : pytest.fixture
Monkeypatch the call to get WFS features.
mp_dov_xml : pytest.fixture
Monkeypatch the call to get the remote XML data.
"""
self.search_instance.search(query=self.valid_query_single)
def test_search_customreturnfields(self, mp_get_schema,
mp_remote_describefeaturetype,
mp_remote_wfs_feature, mp_dov_xml):
"""Test the search method with custom return fields.
Test whether the output dataframe is correct.
Parameters
----------
mp_get_schema : pytest.fixture
Monkeypatch the call to a remote OWSLib schema.
mp_remote_describefeaturetype : pytest.fixture
Monkeypatch the call to a remote DescribeFeatureType .
mp_remote_wfs_feature : pytest.fixture
Monkeypatch the call to get WFS features.
mp_dov_xml : pytest.fixture
Monkeypatch the call to get the remote XML data.
"""
df = self.search_instance.search(query=self.valid_query_single,
return_fields=('pkey_interpretatie',
'pkey_boring'))
assert isinstance(df, DataFrame)
assert list(df) == ['pkey_interpretatie', 'pkey_boring']
assert not pd.isnull(df.pkey_boring[0])
def test_search_xml_resolve(self, mp_get_schema,
mp_remote_describefeaturetype,
mp_remote_wfs_feature, mp_dov_xml):
"""Test the search method with return fields from XML but not from a
subtype.
Test whether the output dataframe contains the resolved XML data.
Parameters
----------
mp_get_schema : pytest.fixture
Monkeypatch the call to a remote OWSLib schema.
mp_remote_describefeaturetype : pytest.fixture
Monkeypatch the call to a remote DescribeFeatureType.
mp_remote_wfs_feature : pytest.fixture
Monkeypatch the call to get WFS features.
mp_dov_xml : pytest.fixture
Monkeypatch the call to get the remote XML data.
"""
df = self.search_instance.search(query=self.valid_query_single,
return_fields=('pkey_interpretatie',
'diepte_laag_tot'))
assert df.diepte_laag_tot[0] == 2.0
def test_search_multiple_return(self, mp_get_schema,
mp_remote_describefeaturetype,
mp_remote_wfs_feature, mp_dov_xml):
"""Test the search method returning multiple (sub)elements of the same subject.
Test whether the output dataframe contains the resolved XML data.
Parameters
----------
mp_get_schema : pytest.fixture
Monkeypatch the call to a remote OWSLib schema.
mp_remote_describefeaturetype : pytest.fixture
Monkeypatch the call to a remote DescribeFeatureType.
mp_remote_wfs_feature : pytest.fixture
Monkeypatch the call to get WFS features.
mp_dov_xml : pytest.fixture
Monkeypatch the call to get the remote XML data.
"""
df = self.search_instance.search(
query=self.valid_query_single,
return_fields=('pkey_interpretatie', 'hoofdnaam1_grondsoort',
'hoofdnaam2_grondsoort', 'bijmenging1_grondsoort',
'bijmenging1_hoeveelheid',
'bijmenging1_plaatselijk'))
assert df.hoofdnaam1_grondsoort[0] == 'FZ'
assert df.hoofdnaam2_grondsoort[0] == 'LE'
assert df.bijmenging1_grondsoort[0] == 'SN'
assert df.bijmenging1_hoeveelheid[0] == 'N'
# mind that the column below is of dtype 'object'
assert df.bijmenging1_plaatselijk[0] is False