def test_multi_src_dst_edge_loader(graphscope_session, student_group_e,
teacher_group_e, student_v, teacher_v):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student",
["name", "lesson_nums", "avg_score"],
"student_id")
graph = graph.add_vertices(teacher_v, "teacher",
["student_num", "score", "email", "tel"],
"teacher_id")
graph = graph.add_edges(
student_group_e,
"group",
["group_id", "member_size"],
src_label="student",
dst_label="student",
src_field="leader_student_id",
dst_field="member_student_id",
)
graph = graph.add_edges(
teacher_group_e,
"group",
["group_id", "member_size"],
src_label="teacher",
dst_label="teacher",
src_field="leader_teacher_id",
dst_field="member_teacher_id",
)
assert graph.loaded()
def test_Load_complex_graph_variants(
graphscope_session,
score_e,
student_group_e_df,
student_v_array,
teacher_v_oss,
lesson_v_mars,
):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v_array, "student",
["name", "lesson_nums", "avg_score"],
"student_id")
graph = graph.add_vertices(teacher_v_oss, "teacher",
["student_num", "score", "email", "tel"])
graph = graph.add_vertices(lesson_v_mars, "lesson")
graph = graph.add_edges(
score_e,
"score",
["score", "score_id"],
src_label="student",
dst_label="lesson",
src_field="studnet_id",
dst_field="subject",
)
graph = graph.add_edges(
student_group_e_df,
"group",
["member_size"],
src_label="student",
dst_label="student",
src_field="leader_studnet_id",
dst_field="member_student_id",
)
assert graph.schema is not None
def test_error_on_duplicate_labels(graphscope_session, student_group_e,
student_v):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student")
with pytest.raises(ValueError,
match="Label student already existed in graph"):
graph = graph.add_vertices(student_v, "student")
graph = graph.add_edges(student_group_e, "group")
with pytest.raises(ValueError, match="already existed in graph"):
graph = graph.add_edges(student_group_e, "group")
def test_error_on_non_default_and_non_existing_v_label(graphscope_session,
student_group_e,
student_v):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student")
with pytest.raises(ValueError,
match="src label or dst_label not existed in graph"):
graph = graph.add_edges(student_group_e,
"group",
src_label="v",
dst_label="v")
with pytest.raises(ValueError,
match="must be both specified or either unspecified"):
graph = graph.add_edges(student_group_e, src_label="v")
def test_error_on_src_dst_refer_to_same_col(graphscope_session,
student_group_e):
graph = Graph(graphscope_session)
with pytest.raises(AssertionError, match="cannot refer to the same field"):
graph = graph.add_edges(
student_group_e,
"group",
src_field="leader_student_id",
dst_field="leader_student_id",
)
with pytest.raises(AssertionError, match="cannot refer to the same field"):
graph = graph.add_edges(student_group_e,
"group",
src_field=0,
dst_field=0)
def test_multiple_add_vertices_edges(graphscope_session):
prefix = os.path.expandvars("${GS_TEST_DIR}/modern_graph")
graph = Graph(graphscope_session)
graph = graph.add_vertices(Loader(f"{prefix}/person.csv", delimiter="|"),
"person")
graph = graph.add_edges(Loader(f"{prefix}/knows.csv", delimiter="|"),
"knows")
graph = graph.add_vertices(Loader(f"{prefix}/software.csv", delimiter="|"),
"software")
graph = graph.add_edges(
Loader(f"{prefix}/created.csv", delimiter="|"),
"created",
src_label="person",
dst_label="software",
)
assert graph.schema.vertex_labels == ["person", "software"]
assert graph.schema.edge_labels == ["created", "knows"]
graph = graph.add_vertices(Loader(f"{prefix}/person.csv", delimiter="|"),
"person2")
graph = graph.add_edges(
Loader(f"{prefix}/knows.csv", delimiter="|"),
"knows2",
src_label="person2",
dst_label="person2",
)
graph = graph.add_vertices(Loader(f"{prefix}/software.csv", delimiter="|"),
"software2")
graph = graph.add_edges(
Loader(f"{prefix}/created.csv", delimiter="|"),
"created2",
src_label="person2",
dst_label="software2",
)
assert sorted(graph.schema.vertex_labels) == [
"person",
"person2",
"software",
"software2",
]
assert sorted(graph.schema.edge_labels) == [
"created",
"created2",
"knows",
"knows2",
]
def test_serialize_roundtrip(gs_session_distributed, p2p_property_dir):
graph = Graph(gs_session_distributed, generate_eid=False)
graph = graph.add_vertices(f"{p2p_property_dir}/p2p-31_property_v_0",
"person")
graph = graph.add_edges(
f"{p2p_property_dir}/p2p-31_property_e_0",
label="knows",
src_label="person",
dst_label="person",
)
graph.save_to("/tmp/serialize")
new_graph = Graph.load_from("/tmp/serialize", gs_session_distributed)
pg = new_graph.project_to_simple(0, 0, 0, 2)
ctx = graphscope.sssp(pg, src=6)
ret = (ctx.to_dataframe({
"node": "v.id",
"r": "r"
},
vertex_range={
"end": 6
}).sort_values(by=["node"]).to_numpy(dtype=float))
expect = np.array([[1.0, 260.0], [2.0, 229.0], [3.0, 310.0], [4.0, 256.0],
[5.0, 303.0]])
assert np.all(ret == expect)
def test_properties_omitted_loader(graphscope_session, student_group_e,
student_v):
graph = Graph(graphscope_session, generate_eid=False)
graph = graph.add_vertices(student_v, "student", [], "student_id")
graph = graph.add_edges(student_group_e, "group", [])
assert len(graph.schema.vertex_properties[0]) == 4
assert len(graph.schema.edge_properties[0]) == 2
def arrow_property_graph_lpa(graphscope_session):
g = Graph(graphscope_session, generate_eid=False)
g = g.add_vertices(f"{property_dir}/lpa_dataset/lpa_3000_v_0", "v0")
g = g.add_vertices(f"{property_dir}/lpa_dataset/lpa_3000_v_1", "v1")
g = g.add_edges(f"{property_dir}/lpa_dataset/lpa_3000_e_0", "e0",
["weight"], "v0", "v1")
yield g
g.unload()
def test_error_on_ambigious_default_label(graphscope_session, student_group_e,
student_v, teacher_v):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student")
graph = graph.add_vertices(teacher_v, "teacher")
with pytest.raises(AssertionError, match="ambiguous vertex label"):
graph = graph.add_edges(student_group_e, "group")
def test_add_vertices_edges(graphscope_session):
prefix = os.path.expandvars("${GS_TEST_DIR}/modern_graph")
graph = Graph(graphscope_session)
graph = graph.add_vertices(Loader(f"{prefix}/person.csv", delimiter="|"),
"person")
graph = graph.add_edges(Loader(f"{prefix}/knows.csv", delimiter="|"),
"knows")
assert graph.schema.vertex_labels == ["person"]
assert graph.schema.edge_labels == ["knows"]
with pytest.raises(ValueError,
match="src label and dst label cannot be None"):
graph = graph.add_edges(Loader(f"{prefix}/knows.csv", delimiter="|"),
"created")
with pytest.raises(ValueError,
match="src label or dst_label not existed in graph"):
graph = graph.add_edges(
Loader(f"{prefix}/created.csv", delimiter="|"),
"created",
src_label="person",
dst_label="software",
)
graph = graph.add_vertices(Loader(f"{prefix}/software.csv", delimiter="|"),
"software")
with pytest.raises(ValueError,
match="Cannot add new relation to existed graph"):
graph = graph.add_edges(
Loader(f"{prefix}/knows.csv", delimiter="|"),
"knows",
src_label="software",
dst_label="software",
)
graph = graph.add_edges(
Loader(f"{prefix}/created.csv", delimiter="|"),
"created",
src_label="person",
dst_label="software",
)
assert graph.schema.vertex_labels == ["person", "software"]
assert graph.schema.edge_labels == ["knows", "created"]
def test_load_complex_graph(
graphscope_session,
score_e,
student_teacher_e,
teacher_lesson_e,
student_v,
teacher_v,
lesson_v,
):
graph = Graph(graphscope_session, oid_type="string")
graph = graph.add_vertices(student_v, "student",
["name", "lesson_nums", "avg_score"],
"student_id")
graph = graph.add_vertices(teacher_v, "teacher",
["student_num", "score", "email", "tel"])
graph = graph.add_vertices(lesson_v, "lesson")
graph = graph.add_edges(
score_e,
"score",
["score", "score_id"],
src_label="student",
dst_label="lesson",
src_field="student_id",
dst_field="subject",
)
graph = graph.add_edges(
student_teacher_e,
"student_teacher",
["teaching_score"],
src_label="student",
dst_label="teacher",
src_field="student_id",
dst_field="teacher_id",
)
graph = graph.add_edges(
teacher_lesson_e,
"teacher_lesson",
["times"],
src_label="teacher",
dst_label="lesson",
src_field="teacher_id",
dst_field="lesson",
)
assert graph.schema is not None
def p2p_property_graph_undirected(graphscope_session):
g = Graph(graphscope_session, directed=False, generate_eid=False)
g = g.add_vertices(f"{property_dir}/p2p-31_property_v_0", "person")
g = g.add_edges(
f"{property_dir}/p2p-31_property_e_0",
label="knows",
src_label="person",
dst_label="person",
)
yield g
g.unload()
def test_v_property_omitted_form_loader(graphscope_session, student_group_e,
student_v):
# properties for v can be omit, all columns will be load,
# the first one used as vid by # default. default vlabel would be '_';
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student")
graph = graph.add_edges(
student_group_e,
"group",
["group_id", "member_size"],
src_field="leader_student_id",
dst_field="member_student_id",
)
assert graph.loaded()
def test_error_on_remove_vertices_edges(graphscope_session):
prefix = os.path.expandvars("${GS_TEST_DIR}/modern_graph")
graph = Graph(graphscope_session)
graph = graph.add_vertices(Loader(f"{prefix}/person.csv", delimiter="|"),
"person")
graph = graph.add_edges(Loader(f"{prefix}/knows.csv", delimiter="|"),
"knows")
graph = graph.add_vertices(Loader(f"{prefix}/software.csv", delimiter="|"),
"software")
graph = graph.add_edges(
Loader(f"{prefix}/created.csv", delimiter="|"),
"created",
src_label="person",
dst_label="software",
)
with pytest.raises(ValueError,
match="Vertex software has usage in relation"):
graph = graph.remove_vertices("software")
with pytest.raises(ValueError, match="label xxx not in vertices"):
graph = graph.remove_vertices("xxx")
with pytest.raises(ValueError, match="label xxx not in edges"):
graph = graph.remove_edges("xxx")
with pytest.raises(ValueError, match="Cannot find edges to remove"):
graph = graph.remove_edges("knows", src_label="xxx", dst_label="xxx")
assert graph.loaded()
with pytest.raises(
ValueError,
match="Remove vertices from a loaded graph doesn't supported yet"):
graph = graph.remove_vertices("person")
with pytest.raises(
ValueError,
match="Remove edges from a loaded graph doesn't supported yet"):
graph = graph.remove_edges("knows")
def test_vid_omitted_form_loader(graphscope_session, student_group_e,
student_v):
# vid can be omit, the first column will be used as vid;
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student",
["name", "lesson_nums", "avg_score"])
graph = graph.add_edges(
student_group_e,
"group",
["group_id", "member_size"],
src_label="student",
dst_label="student",
src_field="leader_student_id",
dst_field="member_student_id",
)
assert graph.loaded()
def test_complete_form_loader(graphscope_session, student_group_e, student_v):
# a complete form for loading from ev files.
# types are inferred from Loader.
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v, "student",
["name", "lesson_nums", "avg_score"],
"student_id")
graph = graph.add_edges(
student_group_e,
"group",
["group_id", "member_size"],
src_label="student",
dst_label="student",
src_field="leader_student_id",
dst_field="member_student_id",
)
assert graph.loaded()
def test_errors_on_files(graphscope_session, one_column_file,
double_type_id_file, empty_file):
with pytest.raises(AnalyticalEngineInternalError,
match="Object not exists"):
Graph(graphscope_session,
vineyard.ObjectName("non_exist_vy_name"))._ensure_loaded()
return
graph = Graph(graphscope_session)
with pytest.raises(AnalyticalEngineInternalError, match="IOError"):
non_existing_file = "file:///abc"
graph.add_edges(Loader(non_existing_file))._ensure_loaded()
with pytest.raises(AnalyticalEngineInternalError,
match="Index out of range: 1"):
graph.add_edges(one_column_file)._ensure_loaded()
with pytest.raises(AnalyticalEngineInternalError,
match="CSV conversion error to int64"):
graph.add_edges(double_type_id_file)._ensure_loaded()
with pytest.raises(AnalyticalEngineInternalError, match="End Of File"):
graph.add_edges(empty_file)._ensure_loaded()
def arrow_property_graph_only_from_efile(graphscope_session):
g = Graph(graphscope_session, generate_eid=False)
g = g.add_edges(f"{new_property_dir}/twitter_e_0_0_0", "e0", ["weight"],
"v0", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_1_0", "e0", ["weight"],
"v0", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_0_0", "e0", ["weight"],
"v1", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_1_0", "e0", ["weight"],
"v1", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_0_1", "e1", ["weight"],
"v0", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_1_1", "e1", ["weight"],
"v0", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_0_1", "e1", ["weight"],
"v1", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_1_1", "e1", ["weight"],
"v1", "v1")
yield g
g.unload()
def test_loader_with_specified_data_type(graphscope_session, student_group_e,
student_v):
graph = Graph(graphscope_session, oid_type="string", generate_eid=False)
graph = graph.add_vertices(
student_v,
"student",
["name", ("lesson_nums", "int"), ("avg_score", "float")],
"student_id",
)
graph = graph.add_edges(student_group_e, "group",
["group_id", ("member_size", "int")])
assert graph.schema.vertex_properties == [{
"name": 21,
"lesson_nums": 11,
"avg_score": 18,
"student_id": 21
}]
assert graph.schema.edge_properties == [{
"group_id": 21,
"member_size": 11
}]
def arrow_property_graph_undirected(graphscope_session):
g = Graph(graphscope_session, directed=False, generate_eid=False)
g = g.add_vertices(f"{new_property_dir}/twitter_v_0", "v0")
g = g.add_vertices(f"{new_property_dir}/twitter_v_1", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_0_0", "e0", ["weight"],
"v0", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_1_0", "e0", ["weight"],
"v0", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_0_0", "e0", ["weight"],
"v1", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_1_0", "e0", ["weight"],
"v1", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_0_1", "e1", ["weight"],
"v0", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_0_1_1", "e1", ["weight"],
"v0", "v1")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_0_1", "e1", ["weight"],
"v1", "v0")
g = g.add_edges(f"{new_property_dir}/twitter_e_1_1_1", "e1", ["weight"],
"v1", "v1")
yield g
g.unload()
def test_load_from_numpy(graphscope_session, student_group_e_array,
student_v_array):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v_array)
graph = graph.add_edges(student_group_e_array)
assert graph.loaded()
def test_vertices_omitted_form_loader(graphscope_session, student_group_e):
# vertices can be omit.
graph = Graph(graphscope_session)
graph = graph.add_edges(student_group_e)
assert graph.loaded()
def test_multiple_e_all_omitted_form_loader(graphscope_session,
student_group_e, friend_e):
graph = Graph(graphscope_session)
graph = graph.add_edges(student_group_e, "group")
graph = graph.add_edges(friend_e, "friend")
assert graph.loaded()
def test_load_from_pandas(graphscope_session, student_group_e_df,
student_v_df):
graph = Graph(graphscope_session)
graph = graph.add_vertices(student_v_df)
graph = graph.add_edges(student_group_e_df)
assert graph.loaded()
