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Revert "fix(api): 修复记忆可视化中重复的边"

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This reverts commit f8e42f3348.
This commit is contained in:
minecraft1024a
2025-11-07 22:03:09 +08:00
committed by Windpicker-owo
parent 636b1e9fea
commit e350b5a177
2 changed files with 101 additions and 278 deletions
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209
src/api/memory_visualizer_router.py
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@@ -61,27 +61,15 @@ def find_available_data_files() -> List[Path]:
return sorted(files, key=lambda f: f.stat().st_mtime, reverse=True)
def load_graph_data_from_file(
file_path: Optional[Path] = None,
nodes_page: Optional[int] = None,
nodes_per_page: Optional[int] = None,
edges_page: Optional[int] = None,
edges_per_page: Optional[int] = None,
) -> Dict[str, Any]:
"""
从磁盘加载图数据, 支持分页。
如果不提供分页参数, 则加载并缓存所有数据。
"""
def load_graph_data_from_file(file_path: Optional[Path] = None) -> Dict[str, Any]:
"""从磁盘加载图数据"""
global graph_data_cache, current_data_file
# 如果是请求分页数据, 则不使用缓存的全量数据
is_paged_request = nodes_page is not None or edges_page is not None
if file_path and file_path != current_data_file:
graph_data_cache = None
current_data_file = file_path
if graph_data_cache and not is_paged_request:
if graph_data_cache:
return graph_data_cache
try:
@@ -96,78 +84,53 @@ def load_graph_data_from_file(
if not graph_file.exists():
return {"error": f"文件不存在: {graph_file}", "nodes": [], "edges": [], "stats": {}}
# 只有在没有缓存时才从磁盘读取和处理文件
if not graph_data_cache:
with open(graph_file, "r", encoding="utf-8") as f:
data = orjson.loads(f.read())
with open(graph_file, "r", encoding="utf-8") as f:
data = orjson.loads(f.read())
nodes = data.get("nodes", [])
edges = data.get("edges", [])
metadata = data.get("metadata", {})
nodes = data.get("nodes", [])
edges = data.get("edges", [])
metadata = data.get("metadata", {})
nodes_dict = {
node["id"]: {
**node,
"label": node.get("content", ""),
"group": node.get("node_type", ""),
"title": f"{node.get('node_type', '')}: {node.get('content', '')}",
}
for node in nodes
if node.get("id")
nodes_dict = {
node["id"]: {
**node,
"label": node.get("content", ""),
"group": node.get("node_type", ""),
"title": f"{node.get('node_type', '')}: {node.get('content', '')}",
}
for node in nodes
if node.get("id")
}
edges_list = []
seen_edge_ids = set()
for edge in edges:
edge_id = edge.get("id")
if edge_id and edge_id not in seen_edge_ids:
edges_list.append(
{
**edge,
"from": edge.get("source", edge.get("source_id")),
"to": edge.get("target", edge.get("target_id")),
"label": edge.get("relation", ""),
"arrows": "to",
}
)
seen_edge_ids.add(edge_id)
stats = metadata.get("statistics", {})
total_memories = stats.get("total_memories", 0)
graph_data_cache = {
"nodes": list(nodes_dict.values()),
"edges": edges_list,
"memories": [], # TODO: 未来也可以考虑分页加载记忆
"stats": {
"total_nodes": len(nodes_dict),
"total_edges": len(edges_list),
"total_memories": total_memories,
},
"current_file": str(graph_file),
"file_size": graph_file.stat().st_size,
"file_modified": datetime.fromtimestamp(graph_file.stat().st_mtime).isoformat(),
edges_list = [
{
**edge,
"from": edge.get("source", edge.get("source_id")),
"to": edge.get("target", edge.get("target_id")),
"label": edge.get("relation", ""),
"arrows": "to",
}
for edge in edges
]
# 如果是分页请求, 则从缓存中切片数据
if is_paged_request:
paged_data = graph_data_cache.copy() # 浅拷贝一份, 避免修改缓存
# 分页节点
if nodes_page is not None and nodes_per_page is not None:
node_start = (nodes_page - 1) * nodes_per_page
node_end = node_start + nodes_per_page
paged_data["nodes"] = graph_data_cache["nodes"][node_start:node_end]
# 分页边
if edges_page is not None and edges_per_page is not None:
edge_start = (edges_page - 1) * edges_per_page
edge_end = edge_start + edges_per_page
paged_data["edges"] = graph_data_cache["edges"][edge_start:edge_end]
return paged_data
stats = metadata.get("statistics", {})
total_memories = stats.get("total_memories", 0)
graph_data_cache = {
"nodes": list(nodes_dict.values()),
"edges": edges_list,
"memories": [],
"stats": {
"total_nodes": len(nodes_dict),
"total_edges": len(edges_list),
"total_memories": total_memories,
},
"current_file": str(graph_file),
"file_size": graph_file.stat().st_size,
"file_modified": datetime.fromtimestamp(graph_file.stat().st_mtime).isoformat(),
}
return graph_data_cache
except Exception as e:
import traceback
@@ -188,7 +151,7 @@ def _format_graph_data_from_manager(memory_manager) -> Dict[str, Any]:
all_memories = memory_manager.graph_store.get_all_memories()
nodes_dict = {}
edges_dict = {}
edges_list = []
memory_info = []
for memory in all_memories:
@@ -210,8 +173,8 @@ def _format_graph_data_from_manager(memory_manager) -> Dict[str, Any]:
"title": f"{node.node_type.value}: {node.content}",
}
for edge in memory.edges:
if edge.id not in edges_dict:
edges_dict[edge.id] = {
edges_list.append( # noqa: PERF401
{
"id": edge.id,
"from": edge.source_id,
"to": edge.target_id,
@@ -219,8 +182,7 @@ def _format_graph_data_from_manager(memory_manager) -> Dict[str, Any]:
"arrows": "to",
"memory_id": memory.id,
}
edges_list = list(edges_dict.values())
)
stats = memory_manager.get_statistics()
return {
@@ -235,67 +197,28 @@ def _format_graph_data_from_manager(memory_manager) -> Dict[str, Any]:
"current_file": "memory_manager (实时数据)",
}
@router.get("/api/graph/paged")
async def get_paged_graph(
nodes_page: int = 1, nodes_per_page: int = 100, edges_page: int = 1, edges_per_page: int = 200
):
"""获取分页的记忆图数据"""
try:
# 确保全量数据已加载到缓存
full_data = load_graph_data_from_file()
if "error" in full_data:
raise HTTPException(status_code=404, detail=full_data["error"])
# 从缓存中获取全量数据
all_nodes = full_data.get("nodes", [])
all_edges = full_data.get("edges", [])
total_nodes = len(all_nodes)
total_edges = len(all_edges)
# 计算节点分页
node_start = (nodes_page - 1) * nodes_per_page
node_end = node_start + nodes_per_page
paginated_nodes = all_nodes[node_start:node_end]
# 计算边分页
edge_start = (edges_page - 1) * edges_per_page
edge_end = edge_start + edges_per_page
paginated_edges = all_edges[edge_start:edge_end]
return JSONResponse(
content={
"success": True,
"data": {
"nodes": paginated_nodes,
"edges": paginated_edges,
"pagination": {
"nodes": {
"page": nodes_page,
"per_page": nodes_per_page,
"total": total_nodes,
"total_pages": (total_nodes + nodes_per_page - 1) // nodes_per_page,
},
"edges": {
"page": edges_page,
"per_page": edges_per_page,
"total": total_edges,
"total_pages": (total_edges + edges_per_page - 1) // edges_per_page,
},
},
},
}
)
except Exception as e:
return JSONResponse(content={"success": False, "error": str(e)}, status_code=500)
@router.get("/api/graph/full")
async def get_full_graph_deprecated():
"""
(已废弃) 获取完整记忆图数据。
此接口现在只返回第一页的数据, 请使用 /api/graph/paged 进行分页获取。
"""
return await get_paged_graph(nodes_page=1, nodes_per_page=100, edges_page=1, edges_per_page=200)
async def get_full_graph():
"""获取完整记忆图数据"""
try:
from src.memory_graph.manager_singleton import get_memory_manager
memory_manager = get_memory_manager()
data = {}
if memory_manager and memory_manager._initialized:
data = _format_graph_data_from_manager(memory_manager)
else:
# 如果内存管理器不可用，则从文件加载
data = load_graph_data_from_file()
return JSONResponse(content={"success": True, "data": data})
except Exception as e:
import traceback
traceback.print_exc()
return JSONResponse(content={"success": False, "error": str(e)}, status_code=500)
@router.get("/api/files")