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chore: import upstream snapshot with attribution
2026-07-13 12:35:30 +08:00

48 lines
1.7 KiB
Python

"""LlamaIndex integration for lean-ctx."""
from typing import Optional
from lean_ctx.client import LeanCtxClient
try:
from llama_index.core.node_parser import NodeParser
from llama_index.core.schema import BaseNode, TextNode, Document
class LeanCtxNodeParser(NodeParser):
"""LlamaIndex node parser using lean-ctx compression modes."""
client: LeanCtxClient = None
mode: str = "map"
def __init__(self, project_root: Optional[str] = None, mode: str = "map", **kwargs):
super().__init__(**kwargs)
self.client = LeanCtxClient(project_root=project_root)
self.mode = mode
def _parse_nodes(self, nodes: list[BaseNode], **kwargs) -> list[BaseNode]:
result_nodes = []
for node in nodes:
if isinstance(node, Document) and hasattr(node, "metadata"):
file_path = node.metadata.get("file_path", "")
if file_path:
compressed = self.client.read(file_path, mode=self.mode)
result_nodes.append(
TextNode(
text=compressed,
metadata={**node.metadata, "compression_mode": self.mode},
)
)
continue
result_nodes.append(node)
return result_nodes
except ImportError:
class LeanCtxNodeParser:
"""Stub: install llama-index-core for full integration."""
def __init__(self, **kwargs):
raise ImportError(
"llama-index-core is required: pip install llama-index-core"
)