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https://github.com/agentscope-ai/ReMe.git
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* fix(bm25_index): 修正BM25索引计算中的文档长度归一化问题 修复了在计算BM25相似度时对文档长度进行不正确归一化的bug,确保所有查询都能得到准确的相关性评分。 * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * refactor(steps): Rename and adjust indexing step logic - Rename `scan_changes.py` and `reindex.py` to `clear_and_scan.py` - Update implementation details of `ScanChangesStep` and `ClearAndScanStep` - Modify the scheduling mechanism in `WatchChangesStep` - Adjust step registration and parameter configuration in config files - Update related tests to align with the new interface changes * up * feat(daily): replace daily CRUD operations with slug provisioning approach * refactor(tests): migrate CRUD step tests from HTTP server to direct LocalFileStore * up * up * up * up --------- Co-authored-by: huangsen <huangsen.huang@alibaba-inc.com>
124 lines
4.9 KiB
Python
124 lines
4.9 KiB
Python
"""Networkx file-graph backend."""
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import pickle
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from pathlib import Path
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try:
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import networkx as nx
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except ImportError:
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nx = None
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from .base_file_graph import BaseFileGraph
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from ..component_registry import R
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from ...enumeration import LinkScopeEnum
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from ...schema import FileLink, FileNode
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@R.register("nx")
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class NxFileGraph(BaseFileGraph):
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"""Networkx-backed file graph; uses FileLink.target_path for adjacency.
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Real node carries ``node`` attr; virtual (dangling target) does not.
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"""
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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if nx is None:
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raise ImportError("NxFileGraph requires networkx — pip install networkx")
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self._graph: nx.MultiDiGraph = nx.MultiDiGraph()
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self.component_metadata_path.mkdir(parents=True, exist_ok=True)
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self._graph_file: Path = self.component_metadata_path / f"{self.name}.pkl"
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# -- Lifecycle ---------------------------------------------------------
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async def load(self) -> None:
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if not self._graph_file.exists():
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return
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try:
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with open(self._graph_file, "rb") as f:
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self._graph = pickle.load(f)
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self.logger.info(f"Loaded {self._real_count()} nodes from {self._graph_file}")
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except Exception as e:
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self.logger.exception(f"Failed to load {self._graph_file}: {e}")
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async def dump(self) -> None:
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try:
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tmp = self._graph_file.with_suffix(".tmp")
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with open(tmp, "wb") as f:
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pickle.dump(self._graph, f, protocol=pickle.HIGHEST_PROTOCOL)
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tmp.replace(self._graph_file)
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self.logger.info(f"Saved {self._real_count()} nodes to {self._graph_file}")
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except Exception as e:
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self.logger.exception(f"Failed to write {self._graph_file}: {e}")
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# -- Internals ---------------------------------------------------------
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def _real_count(self) -> int:
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return sum(1 for _, d in self._graph.nodes(data=True) if "node" in d)
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def _is_real(self, key: str) -> bool:
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return "node" in self._graph.nodes[key]
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@staticmethod
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def _edges_from(src: str, node: FileNode):
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return ((src, lnk.target_path, {"link": lnk}) for lnk in node.links if lnk.target_path)
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def _scope_match(self, key: str, scope: LinkScopeEnum) -> bool:
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if scope is LinkScopeEnum.ALL:
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return True
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is_real = self._is_real(key)
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return is_real if scope is LinkScopeEnum.REAL else not is_real
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# -- Node CRUD ---------------------------------------------------------
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async def upsert_nodes(self, nodes: list[FileNode]) -> None:
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for node in nodes:
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path = node.path
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if self._graph.has_node(path):
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self._graph.remove_edges_from(list(self._graph.out_edges(path, keys=True)))
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self._graph.add_node(path, node=node) # promotes virtual placeholder
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self._graph.add_edges_from(self._edges_from(path, node))
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async def delete_nodes(self, paths: list[str]) -> None:
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for path in paths:
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if not self._graph.has_node(path):
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continue
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self._graph.remove_edges_from(list(self._graph.out_edges(path, keys=True)))
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self._graph.nodes[path].pop("node", None) # demote to virtual
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if self._graph.in_degree(path) == 0:
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self._graph.remove_node(path)
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async def get_nodes(self, paths: list[str] | None = None) -> list[FileNode]:
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view = self._graph.nodes
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if paths is None:
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return [d["node"] for _, d in view(data=True) if "node" in d]
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return [view[p]["node"] for p in paths if p in view and "node" in view[p]]
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async def rebuild_links(self) -> None:
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self._graph.remove_edges_from(list(self._graph.edges(keys=True)))
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virtual = [n for n, d in self._graph.nodes(data=True) if "node" not in d]
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self._graph.remove_nodes_from(virtual)
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for path, data in list(self._graph.nodes(data=True)):
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self._graph.add_edges_from(self._edges_from(path, data["node"]))
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async def clear(self):
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self._graph.clear()
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self._graph_file.unlink(missing_ok=True)
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# -- Link access -------------------------------------------------------
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async def get_outlinks(self, path: str, scope: LinkScopeEnum = LinkScopeEnum.REAL) -> list[FileLink]:
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view = self._graph.nodes
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if path not in view or "node" not in view[path]:
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return []
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return [
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d["link"]
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for _, tgt, d in self._graph.out_edges(path, data=True)
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if "link" in d and self._scope_match(tgt, scope)
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]
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async def get_inlinks(self, path: str, scope: LinkScopeEnum = LinkScopeEnum.REAL) -> list[FileLink]:
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view = self._graph.nodes
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if path not in view or not self._scope_match(path, scope):
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return []
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return [d["link"] for _, _, d in self._graph.in_edges(path, data=True) if "link" in d]
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