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Fix linting

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This commit is contained in:
yangdx
2025-04-16 14:07:22 +08:00
parent e6b2a035ea
commit 2a950f3ff9
2 changed files with 146 additions and 79 deletions
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200
tests/test_graph_storage.py
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@@ -209,7 +209,7 @@ async def test_graph_basic(storage):
else:
print(f"读取边属性失败: {node1_id} -> {node2_id}")
assert False, f"未能读取边属性: {node1_id} -> {node2_id}"
# 5.1 验证无向图特性 - 读取反向边属性
print(f"读取反向边属性: {node2_id} -> {node1_id}")
reverse_edge_props = await storage.get_edge(node2_id, node1_id)
@@ -219,11 +219,15 @@ async def test_graph_basic(storage):
print(f"反向边描述: {reverse_edge_props.get('description', '无描述')}")
print(f"反向边权重: {reverse_edge_props.get('weight', '无权重')}")
# 验证正向和反向边属性是否相同
assert edge_props == reverse_edge_props, "正向和反向边属性不一致，无向图特性验证失败"
assert (
edge_props == reverse_edge_props
), "正向和反向边属性不一致，无向图特性验证失败"
print("无向图特性验证成功：正向和反向边属性一致")
else:
print(f"读取反向边属性失败: {node2_id} -> {node1_id}")
assert False, f"未能读取反向边属性: {node2_id} -> {node1_id}，无向图特性验证失败"
assert (
False
), f"未能读取反向边属性: {node2_id} -> {node1_id}，无向图特性验证失败"
print("基本测试完成，数据已保留在数据库中")
return True
@@ -308,7 +312,7 @@ async def test_graph_advanced(storage):
node1_degree = await storage.node_degree(node1_id)
print(f"节点 {node1_id} 的度数: {node1_degree}")
assert node1_degree == 1, f"节点 {node1_id} 的度数应为1，实际为 {node1_degree}"
# 2.1 测试所有节点的度数
print("== 测试所有节点的度数")
node2_degree = await storage.node_degree(node2_id)
@@ -325,12 +329,14 @@ async def test_graph_advanced(storage):
assert (
edge_degree == 3
), f"边 {node1_id} -> {node2_id} 的度数应为3，实际为 {edge_degree}"
# 3.1 测试反向边的度数 - 验证无向图特性
print(f"== 测试反向边的度数: {node2_id} -> {node1_id}")
reverse_edge_degree = await storage.edge_degree(node2_id, node1_id)
print(f"反向边 {node2_id} -> {node1_id} 的度数: {reverse_edge_degree}")
assert edge_degree == reverse_edge_degree, f"正向边和反向边的度数不一致，无向图特性验证失败"
assert (
edge_degree == reverse_edge_degree
), "正向边和反向边的度数不一致，无向图特性验证失败"
print("无向图特性验证成功：正向边和反向边的度数一致")
# 4. 测试 get_node_edges - 获取节点的所有边
@@ -340,7 +346,7 @@ async def test_graph_advanced(storage):
assert (
len(node2_edges) == 2
), f"节点 {node2_id} 应有2条边，实际有 {len(node2_edges)}"
# 4.1 验证节点边的无向图特性
print("== 验证节点边的无向图特性")
# 检查是否包含与node1和node3的连接关系（无论方向）
@@ -348,14 +354,22 @@ async def test_graph_advanced(storage):
has_connection_with_node3 = False
for edge in node2_edges:
# 检查是否有与node1的连接（无论方向）
if (edge[0] == node1_id and edge[1] == node2_id) or (edge[0] == node2_id and edge[1] == node1_id):
if (edge[0] == node1_id and edge[1] == node2_id) or (
edge[0] == node2_id and edge[1] == node1_id
):
has_connection_with_node1 = True
# 检查是否有与node3的连接（无论方向）
if (edge[0] == node2_id and edge[1] == node3_id) or (edge[0] == node3_id and edge[1] == node2_id):
if (edge[0] == node2_id and edge[1] == node3_id) or (
edge[0] == node3_id and edge[1] == node2_id
):
has_connection_with_node3 = True
assert has_connection_with_node1, f"节点 {node2_id} 的边列表中应包含与 {node1_id} 的连接"
assert has_connection_with_node3, f"节点 {node2_id} 的边列表中应包含与 {node3_id} 的连接"
assert (
has_connection_with_node1
), f"节点 {node2_id} 的边列表中应包含与 {node1_id} 的连接"
assert (
has_connection_with_node3
), f"节点 {node2_id} 的边列表中应包含与 {node3_id} 的连接"
print(f"无向图特性验证成功：节点 {node2_id} 的边列表包含所有相关的边")
# 5. 测试 get_all_labels - 获取所有标签
@@ -393,12 +407,14 @@ async def test_graph_advanced(storage):
edge_props = await storage.get_edge(node2_id, node3_id)
print(f"删除后查询边属性 {node2_id} -> {node3_id}: {edge_props}")
assert edge_props is None, f"边 {node2_id} -> {node3_id} 应已被删除"
# 8.1 验证删除边的无向图特性
print(f"== 验证删除边的无向图特性: {node3_id} -> {node2_id}")
reverse_edge_props = await storage.get_edge(node3_id, node2_id)
print(f"删除后查询反向边属性 {node3_id} -> {node2_id}: {reverse_edge_props}")
assert reverse_edge_props is None, f"反向边 {node3_id} -> {node2_id} 也应被删除，无向图特性验证失败"
assert (
reverse_edge_props is None
), f"反向边 {node3_id} -> {node2_id} 也应被删除，无向图特性验证失败"
print("无向图特性验证成功：删除一个方向的边后，反向边也被删除")
# 9. 测试 remove_nodes - 批量删除节点
@@ -657,20 +673,27 @@ async def test_graph_batch_operations(storage):
edges_dict[(node3_id, node4_id)]["relationship"]
== edge5_data["relationship"]
), f"边 {node3_id} -> {node4_id} 关系不匹配"
# 5.1 测试反向边的批量获取 - 验证无向图特性
print("== 测试反向边的批量获取")
# 创建反向边的字典列表
reverse_edge_dicts = [{"src": tgt, "tgt": src} for src, tgt in edges]
reverse_edges_dict = await storage.get_edges_batch(reverse_edge_dicts)
print(f"批量获取反向边属性结果: {reverse_edges_dict.keys()}")
assert len(reverse_edges_dict) == 3, f"应返回3条反向边的属性，实际返回 {len(reverse_edges_dict)} 条"
assert (
len(reverse_edges_dict) == 3
), f"应返回3条反向边的属性，实际返回 {len(reverse_edges_dict)} 条"
# 验证正向和反向边的属性是否一致
for (src, tgt), props in edges_dict.items():
assert (tgt, src) in reverse_edges_dict, f"反向边 {tgt} -> {src} 应在返回结果中"
assert props == reverse_edges_dict[(tgt, src)], f"边 {src} -> {tgt} 和反向边 {tgt} -> {src} 的属性不一致"
assert (
tgt,
src,
) in reverse_edges_dict, f"反向边 {tgt} -> {src} 应在返回结果中"
assert (
props == reverse_edges_dict[(tgt, src)]
), f"边 {src} -> {tgt} 和反向边 {tgt} -> {src} 的属性不一致"
print("无向图特性验证成功：批量获取的正向和反向边属性一致")
# 6. 测试 get_nodes_edges_batch - 批量获取多个节点的所有边
@@ -688,40 +711,50 @@ async def test_graph_batch_operations(storage):
assert (
len(nodes_edges[node3_id]) == 3
), f"{node3_id} 应有3条边，实际有 {len(nodes_edges[node3_id])} 条"
# 6.1 验证批量获取节点边的无向图特性
print("== 验证批量获取节点边的无向图特性")
# 检查节点1的边是否包含所有相关的边（无论方向）
node1_outgoing_edges = [(src, tgt) for src, tgt in nodes_edges[node1_id] if src == node1_id]
node1_incoming_edges = [(src, tgt) for src, tgt in nodes_edges[node1_id] if tgt == node1_id]
node1_outgoing_edges = [
(src, tgt) for src, tgt in nodes_edges[node1_id] if src == node1_id
]
node1_incoming_edges = [
(src, tgt) for src, tgt in nodes_edges[node1_id] if tgt == node1_id
]
print(f"节点 {node1_id} 的出边: {node1_outgoing_edges}")
print(f"节点 {node1_id} 的入边: {node1_incoming_edges}")
# 检查是否包含到机器学习、自然语言处理和计算机视觉的边
has_edge_to_node2 = any(tgt == node2_id for _, tgt in node1_outgoing_edges)
has_edge_to_node4 = any(tgt == node4_id for _, tgt in node1_outgoing_edges)
has_edge_to_node5 = any(tgt == node5_id for _, tgt in node1_outgoing_edges)
assert has_edge_to_node2, f"节点 {node1_id} 的边列表中应包含到 {node2_id} 的边"
assert has_edge_to_node4, f"节点 {node1_id} 的边列表中应包含到 {node4_id} 的边"
assert has_edge_to_node5, f"节点 {node1_id} 的边列表中应包含到 {node5_id} 的边"
# 检查节点3的边是否包含所有相关的边（无论方向）
node3_outgoing_edges = [(src, tgt) for src, tgt in nodes_edges[node3_id] if src == node3_id]
node3_incoming_edges = [(src, tgt) for src, tgt in nodes_edges[node3_id] if tgt == node3_id]
node3_outgoing_edges = [
(src, tgt) for src, tgt in nodes_edges[node3_id] if src == node3_id
]
node3_incoming_edges = [
(src, tgt) for src, tgt in nodes_edges[node3_id] if tgt == node3_id
]
print(f"节点 {node3_id} 的出边: {node3_outgoing_edges}")
print(f"节点 {node3_id} 的入边: {node3_incoming_edges}")
# 检查是否包含从机器学习来的边，以及到自然语言处理和计算机视觉的边
has_edge_from_node2 = any(src == node2_id for src, _ in node3_incoming_edges)
has_edge_to_node4 = any(tgt == node4_id for _, tgt in node3_outgoing_edges)
has_edge_to_node5 = any(tgt == node5_id for _, tgt in node3_outgoing_edges)
assert has_edge_from_node2, f"节点 {node3_id} 的边列表中应包含从 {node2_id} 来的边"
assert (
has_edge_from_node2
), f"节点 {node3_id} 的边列表中应包含从 {node2_id} 来的边"
assert has_edge_to_node4, f"节点 {node3_id} 的边列表中应包含到 {node4_id} 的边"
assert has_edge_to_node5, f"节点 {node3_id} 的边列表中应包含到 {node5_id} 的边"
print("无向图特性验证成功：批量获取的节点边包含所有相关的边（无论方向）")
# 7. 清理数据
@@ -789,7 +822,7 @@ async def test_graph_undirected_property(storage):
# 2. 测试插入边后的无向图特性
print("\n== 测试插入边后的无向图特性")
# 插入边1: 计算机科学 -> 数据结构
edge1_data = {
"relationship": "包含",
@@ -798,24 +831,26 @@ async def test_graph_undirected_property(storage):
}
print(f"插入边1: {node1_id} -> {node2_id}")
await storage.upsert_edge(node1_id, node2_id, edge1_data)
# 验证正向查询
forward_edge = await storage.get_edge(node1_id, node2_id)
print(f"正向边属性: {forward_edge}")
assert forward_edge is not None, f"未能读取正向边属性: {node1_id} -> {node2_id}"
# 验证反向查询
reverse_edge = await storage.get_edge(node2_id, node1_id)
print(f"反向边属性: {reverse_edge}")
assert reverse_edge is not None, f"未能读取反向边属性: {node2_id} -> {node1_id}"
# 验证正向和反向边属性是否一致
assert forward_edge == reverse_edge, "正向和反向边属性不一致，无向图特性验证失败"
assert (
forward_edge == reverse_edge
), "正向和反向边属性不一致，无向图特性验证失败"
print("无向图特性验证成功：正向和反向边属性一致")
# 3. 测试边的度数的无向图特性
print("\n== 测试边的度数的无向图特性")
# 插入边2: 计算机科学 -> 算法
edge2_data = {
"relationship": "包含",
@@ -824,77 +859,102 @@ async def test_graph_undirected_property(storage):
}
print(f"插入边2: {node1_id} -> {node3_id}")
await storage.upsert_edge(node1_id, node3_id, edge2_data)
# 验证正向和反向边的度数
forward_degree = await storage.edge_degree(node1_id, node2_id)
reverse_degree = await storage.edge_degree(node2_id, node1_id)
print(f"正向边 {node1_id} -> {node2_id} 的度数: {forward_degree}")
print(f"反向边 {node2_id} -> {node1_id} 的度数: {reverse_degree}")
assert forward_degree == reverse_degree, "正向和反向边的度数不一致，无向图特性验证失败"
assert (
forward_degree == reverse_degree
), "正向和反向边的度数不一致，无向图特性验证失败"
print("无向图特性验证成功：正向和反向边的度数一致")
# 4. 测试删除边的无向图特性
print("\n== 测试删除边的无向图特性")
# 删除正向边
print(f"删除边: {node1_id} -> {node2_id}")
await storage.remove_edges([(node1_id, node2_id)])
# 验证正向边是否被删除
forward_edge = await storage.get_edge(node1_id, node2_id)
print(f"删除后查询正向边属性 {node1_id} -> {node2_id}: {forward_edge}")
assert forward_edge is None, f"边 {node1_id} -> {node2_id} 应已被删除"
# 验证反向边是否也被删除
reverse_edge = await storage.get_edge(node2_id, node1_id)
print(f"删除后查询反向边属性 {node2_id} -> {node1_id}: {reverse_edge}")
assert reverse_edge is None, f"反向边 {node2_id} -> {node1_id} 也应被删除，无向图特性验证失败"
assert (
reverse_edge is None
), f"反向边 {node2_id} -> {node1_id} 也应被删除，无向图特性验证失败"
print("无向图特性验证成功：删除一个方向的边后，反向边也被删除")
# 5. 测试批量操作中的无向图特性
print("\n== 测试批量操作中的无向图特性")
# 重新插入边
await storage.upsert_edge(node1_id, node2_id, edge1_data)
# 批量获取边属性
edge_dicts = [{"src": node1_id, "tgt": node2_id}, {"src": node1_id, "tgt": node3_id}]
reverse_edge_dicts = [{"src": node2_id, "tgt": node1_id}, {"src": node3_id, "tgt": node1_id}]
edge_dicts = [
{"src": node1_id, "tgt": node2_id},
{"src": node1_id, "tgt": node3_id},
]
reverse_edge_dicts = [
{"src": node2_id, "tgt": node1_id},
{"src": node3_id, "tgt": node1_id},
]
edges_dict = await storage.get_edges_batch(edge_dicts)
reverse_edges_dict = await storage.get_edges_batch(reverse_edge_dicts)
print(f"批量获取正向边属性结果: {edges_dict.keys()}")
print(f"批量获取反向边属性结果: {reverse_edges_dict.keys()}")
# 验证正向和反向边的属性是否一致
for (src, tgt), props in edges_dict.items():
assert (tgt, src) in reverse_edges_dict, f"反向边 {tgt} -> {src} 应在返回结果中"
assert props == reverse_edges_dict[(tgt, src)], f"边 {src} -> {tgt} 和反向边 {tgt} -> {src} 的属性不一致"
assert (
tgt,
src,
) in reverse_edges_dict, f"反向边 {tgt} -> {src} 应在返回结果中"
assert (
props == reverse_edges_dict[(tgt, src)]
), f"边 {src} -> {tgt} 和反向边 {tgt} -> {src} 的属性不一致"
print("无向图特性验证成功：批量获取的正向和反向边属性一致")
# 6. 测试批量获取节点边的无向图特性
print("\n== 测试批量获取节点边的无向图特性")
nodes_edges = await storage.get_nodes_edges_batch([node1_id, node2_id])
print(f"批量获取节点边结果: {nodes_edges.keys()}")
# 检查节点1的边是否包含所有相关的边（无论方向）
node1_edges = nodes_edges[node1_id]
node2_edges = nodes_edges[node2_id]
# 检查节点1是否有到节点2和节点3的边
has_edge_to_node2 = any((src == node1_id and tgt == node2_id) for src, tgt in node1_edges)
has_edge_to_node3 = any((src == node1_id and tgt == node3_id) for src, tgt in node1_edges)
has_edge_to_node2 = any(
(src == node1_id and tgt == node2_id) for src, tgt in node1_edges
)
has_edge_to_node3 = any(
(src == node1_id and tgt == node3_id) for src, tgt in node1_edges
)
assert has_edge_to_node2, f"节点 {node1_id} 的边列表中应包含到 {node2_id} 的边"
assert has_edge_to_node3, f"节点 {node1_id} 的边列表中应包含到 {node3_id} 的边"
# 检查节点2是否有到节点1的边
has_edge_to_node1 = any((src == node2_id and tgt == node1_id) or (src == node1_id and tgt == node2_id) for src, tgt in node2_edges)
assert has_edge_to_node1, f"节点 {node2_id} 的边列表中应包含与 {node1_id} 的连接"
has_edge_to_node1 = any(
(src == node2_id and tgt == node1_id)
or (src == node1_id and tgt == node2_id)
for src, tgt in node2_edges
)
assert (
has_edge_to_node1
), f"节点 {node2_id} 的边列表中应包含与 {node1_id} 的连接"
print("无向图特性验证成功：批量获取的节点边包含所有相关的边（无论方向）")
# 7. 清理数据
@@ -972,7 +1032,7 @@ async def main():
if advanced_result:
ASCIIColors.cyan("\n=== 开始批量操作测试 ===")
batch_result = await test_graph_batch_operations(storage)
if batch_result:
ASCIIColors.cyan("\n=== 开始无向图特性测试 ===")
await test_graph_undirected_property(storage)