def test_dataset_ttl(self):
dataset = factories.Dataset(
notes='Test dataset'
)
url = url_for('dcat_dataset', _id=dataset['id'], _format='ttl')
app = self._get_test_app()
response = app.get(url)
eq_(response.headers['Content-Type'], 'text/turtle')
content = response.body
# Parse the contents to check it's an actual serialization
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 1)
dcat_dataset = dcat_datasets[0]
eq_(dcat_dataset['title'], dataset['title'])
eq_(dcat_dataset['notes'], dataset['notes'])
def test_catalog_fq_filter(self, app):
dataset1 = factories.Dataset(
title='First dataset',
tags=[
{'name': 'economy'},
{'name': 'statistics'}
]
)
dataset2 = factories.Dataset(
title='Second dataset',
tags=[{'name': 'economy'}]
)
dataset3 = factories.Dataset(
title='Third dataset',
tags=[{'name': 'statistics'}]
)
url = url_for('dcat.read_catalog',
_format='ttl',
fq='tags:economy')
response = app.get(url)
content = response.body
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
assert len(dcat_datasets) == 2
assert dcat_datasets[0]['title'] in [dataset1['title'], dataset2['title']]
assert dcat_datasets[1]['title'] in [dataset1['title'], dataset2['title']]
def test_catalog_modified_date(self):
dataset1 = factories.Dataset(title='First dataset')
time.sleep(1)
dataset2 = factories.Dataset(title='Second dataset')
url = url_for('dcat_catalog',
_format='ttl',
modified_since=dataset2['metadata_modified'])
app = self._get_test_app()
response = app.get(url)
content = response.body
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 1)
eq_(dcat_datasets[0]['title'], dataset2['title'])
def test_dataset_ttl(self, app):
dataset = factories.Dataset(
notes='Test dataset'
)
url = url_for('dcat.read_dataset', _id=dataset['name'], _format='ttl')
response = app.get(url)
assert response.headers['Content-Type'] == 'text/turtle'
content = response.body
# Parse the contents to check it's an actual serialization
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
assert len(dcat_datasets) == 1
dcat_dataset = dcat_datasets[0]
assert dcat_dataset['title'] == dataset['title']
assert dcat_dataset['notes'] == dataset['notes']
def test_dataset_ttl(self):
dataset = factories.Dataset(
notes='Test dataset'
)
url = url_for('dcat_dataset', _id=dataset['id'], _format='ttl')
app = self._get_test_app()
response = app.get(url)
eq_(response.headers['Content-Type'], 'text/turtle')
content = response.body
# Parse the contents to check it's an actual serialization
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 1)
dcat_dataset = dcat_datasets[0]
eq_(dcat_dataset['title'], dataset['title'])
eq_(dcat_dataset['notes'], dataset['notes'])
def test_catalog_modified_date(self):
dataset1 = factories.Dataset(title='First dataset')
time.sleep(1)
dataset2 = factories.Dataset(title='Second dataset')
url = url_for('dcat_catalog',
_format='ttl',
modified_since=dataset2['metadata_modified'])
app = self._get_test_app()
response = app.get(url)
content = response.body
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 1)
eq_(dcat_datasets[0]['title'], dataset2['title'])
def test_catalog_q_search(self, app):
dataset1 = factories.Dataset(title='First dataset')
factories.Dataset(title='Second dataset')
url = url_for('dcat.read_catalog', _format='ttl', q='First')
response = app.get(url)
content = response.body
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
assert len(dcat_datasets) == 1
assert dcat_datasets[0]['title'] == dataset1['title']
def test_catalog_q_search(self):
dataset1 = factories.Dataset(title='First dataset')
dataset2 = factories.Dataset(title='Second dataset')
url = url_for('dcat_catalog', _format='ttl', q='First')
app = self._get_test_app()
response = app.get(url)
content = response.body
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 1)
eq_(dcat_datasets[0]['title'], dataset1['title'])
def test_catalog_ttl(self, app):
for i in range(4):
factories.Dataset()
url = url_for('dcat.read_catalog', _format='ttl')
response = app.get(url)
assert response.headers['Content-Type'] == 'text/turtle'
content = response.body
# Parse the contents to check it's an actual serialization
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
assert len(dcat_datasets) == 4
def test_catalog_ttl(self):
for i in xrange(4):
factories.Dataset()
url = url_for('dcat_catalog', _format='ttl')
app = self._get_test_app()
response = app.get(url)
eq_(response.headers['Content-Type'], 'text/turtle')
content = response.body
# Parse the contents to check it's an actual serialization
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 4)
def test_catalog_modified_date(self, app):
dataset1 = factories.Dataset(title='First dataset')
time.sleep(1)
dataset2 = factories.Dataset(title='Second dataset')
url = url_for('dcat.read_catalog',
_format='ttl',
modified_since=dataset2['metadata_modified'])
response = app.get(url)
content = response.body
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
assert len(dcat_datasets) == 1
assert dcat_datasets[0]['title'] == dataset2['title']
def test_catalog_ttl(self):
for i in xrange(4):
factories.Dataset()
url = url_for('dcat_catalog', _format='ttl')
app = self._get_test_app()
response = app.get(url)
eq_(response.headers['Content-Type'], 'text/turtle')
content = response.body
# Parse the contents to check it's an actual serialization
p = RDFParser()
p.parse(content, _format='turtle')
dcat_datasets = [d for d in p.datasets()]
eq_(len(dcat_datasets), 4)