def test_build_context_for_1_hop(self):
starting_thing = neighbour.Thing("0", "person", "entity")
samplers = [samp.Sampler(2, ordered.ordered_sample, limit=2)]
context_builder = builder.ContextBuilder(
samplers, neighbour_finder=mocks.MockNeighbourFinder())
thing_context = context_builder.build(
mock.Mock(grakn.client.Transaction), starting_thing)
expected_context = {
0: [
builder.Node((0, ),
neighbour.Thing("1",
"name",
"attribute",
data_type='string',
value='Sundar Pichai'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, ),
neighbour.Thing("2", "employment", "relation"),
"employee", neighbour.TARGET_PLAYS),
],
1: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
}
self.assertEqual(expected_context, thing_context)
def test_build_context_batch(self):
batch = [neighbour.Thing("0", "person", "entity"), neighbour.Thing("0", "person", "entity")]
samplers = []
context_builder = builder.ContextBuilder(samplers, neighbour_finder=mocks.MockNeighbourFinder())
thing_context = context_builder.build_batch(mock.Mock(grakn.client.Session), batch)
expected_context_batch = [{
0: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
},
{
0: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
}
]
self.assertEqual(expected_context_batch, thing_context)
def test_build_context_for_0_hop(self):
starting_thing = neighbour.Thing("0", "person", "entity")
samplers = []
context_builder = builder.ContextBuilder(samplers, neighbour_finder=mocks.MockNeighbourFinder())
thing_context = context_builder.build(mock.Mock(grakn.client.Transaction), starting_thing)
expected_context = {
0: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
}
self.assertEqual(expected_context, thing_context)
def mock_context():
return {
2: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
1: [
builder.Node((0, ),
neighbour.Thing("1",
"name",
"attribute",
data_type='string',
value='Sundar Pichai'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, ), neighbour.Thing("2", "employment", "relation"),
"employee", neighbour.TARGET_PLAYS),
],
0: [
builder.Node((0, 0), neighbour.Thing("0", "person", "entity"),
"has", neighbour.TARGET_PLAYS),
# Note that (0, 1) is reversed compared to the natural expectation
builder.Node((0, 1), neighbour.Thing("3", "company", "entity"),
"employer", neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, 1), neighbour.Thing("0", "person", "entity"),
"employee", neighbour.NEIGHBOUR_PLAYS),
]
}
def test_outcome_is_as_expected(self):
context_batch = [{
1: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
0: [
builder.Node((0, ),
neighbour.Thing("1",
"name",
"attribute",
data_type='string',
value='Sundar Pichai'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, ),
neighbour.Thing("2", "employment", "relation"),
"employee", neighbour.TARGET_PLAYS),
]
}]
max_hops_shape = (1, 2, 1)
filled_arrays = array.convert_context_batch_to_arrays(
context_batch,
max_hops_shape,
role_type=(np.dtype('U50'), ''),
role_direction=(np.int, -1),
neighbour_type=(np.dtype('U50'), ''),
neighbour_data_type=(np.dtype('U10'), ''),
neighbour_value_long=(np.int, 0),
neighbour_value_double=(np.float, 0.0),
neighbour_value_boolean=(np.int, -1),
neighbour_value_date=('datetime64[s]', ''),
neighbour_value_string=(np.dtype('U50'), ''))
expected_filled_arrays = [{
'role_type':
np.array([[['has'], ['employee']]], dtype=np.dtype('U50')),
'role_direction':
np.array([[[neighbour.NEIGHBOUR_PLAYS], [neighbour.TARGET_PLAYS]]],
dtype=np.int),
'neighbour_type':
np.array([[['name'], ['employment']]], dtype=np.dtype('U50')),
'neighbour_data_type':
np.array([[['string'], ['']]], dtype=np.dtype('U10')),
'neighbour_value_long':
np.array([[[0], [0]]], dtype=np.int),
'neighbour_value_double':
np.array([[[0.0], [0.0]]], dtype=np.int),
'neighbour_value_boolean':
np.array([[[-1], [-1]]], dtype=np.int),
'neighbour_value_date':
np.array([[[''], ['']]], dtype='datetime64[s]'),
'neighbour_value_string':
np.array([[['Sundar Pichai'], ['']]], dtype=np.dtype('U50'))
}, {
'neighbour_type':
np.array([['person']], dtype=np.dtype('U50')),
'neighbour_data_type':
np.array([['']], dtype=np.dtype('U10')),
'neighbour_value_long':
np.array([[0]], dtype=np.int),
'neighbour_value_double':
np.array([[0.0]], dtype=np.int),
'neighbour_value_boolean':
np.array([[-1]], dtype=np.int),
'neighbour_value_date':
np.array([['']], dtype='datetime64[s]'),
'neighbour_value_string':
np.array([['']], dtype=np.dtype('U50'))
}]
np.testing.assert_equal(filled_arrays, expected_filled_arrays)
def test_build_context_for_3_hop(self):
starting_thing = neighbour.Thing("0", "person", "entity")
samplers = [
samp.Sampler(2, ordered.ordered_sample, limit=2),
samp.Sampler(2, ordered.ordered_sample, limit=2),
samp.Sampler(3, ordered.ordered_sample, limit=3)
]
context_builder = builder.ContextBuilder(
samplers, neighbour_finder=mocks.MockNeighbourFinder())
thing_context = context_builder.build(
mock.Mock(grakn.client.Transaction), starting_thing)
expected_context = {
3: [builder.Node((), neighbour.Thing("0", "person", "entity"))],
2: [
builder.Node((0, ),
neighbour.Thing("1",
"name",
"attribute",
data_type='string',
value='Sundar Pichai'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, ),
neighbour.Thing("2", "employment", "relation"),
"employee", neighbour.TARGET_PLAYS),
],
1: [
builder.Node((0, 0), neighbour.Thing("0", "person", "entity"),
"has", neighbour.TARGET_PLAYS),
# Note that (0, 1) is reversed compared to the natural expectation
builder.Node((0, 1), neighbour.Thing("3", "company", "entity"),
"employer", neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, 1), neighbour.Thing("0", "person", "entity"),
"employee", neighbour.NEIGHBOUR_PLAYS),
],
0: [
builder.Node((0, 0, 0),
neighbour.Thing("1",
"name",
"attribute",
data_type='string',
value='Sundar Pichai'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, 0, 0),
neighbour.Thing("2", "employment", "relation"),
"employee", neighbour.TARGET_PLAYS),
builder.Node((0, 0, 1),
neighbour.Thing("4",
"name",
"attribute",
data_type='string',
value='Google'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, 0, 1),
neighbour.Thing("4",
"name",
"attribute",
data_type='string',
value='Google'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((2, 0, 1),
neighbour.Thing("4",
"name",
"attribute",
data_type='string',
value='Google'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((0, 1, 1),
neighbour.Thing("1",
"name",
"attribute",
data_type='string',
value='Sundar Pichai'), "has",
neighbour.NEIGHBOUR_PLAYS),
builder.Node((1, 1, 1),
neighbour.Thing("2", "employment", "relation"),
"employee", neighbour.TARGET_PLAYS),
]
}
self.assertEqual(expected_context, thing_context)