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81 lines
2.6 KiB
Python
81 lines
2.6 KiB
Python
from typing import Any, Optional
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from cognee.infrastructure.databases.vector.exceptions import CollectionNotFoundError
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from cognee.modules.retrieval.utils.brute_force_triplet_search import get_memory_fragment
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# Vector collection for the persisted GlobalContextSummary.text index.
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GLOBAL_CONTEXT_SUMMARY_COLLECTION = "GlobalContextSummary_text"
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async def load_root_text() -> Optional[str]:
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"""
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Return the dataset's root GlobalContextSummary text, or None when no root
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exists in scope. Relies on backend access control to scope the query to
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one dataset; within scope a dataset has at most one root.
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"""
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fragment = await get_memory_fragment(
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properties_to_project=["id", "text", "type", "is_root"],
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memory_fragment_filter=[{"type": ["GlobalContextSummary"]}],
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)
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for node in fragment.nodes.values():
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if _is_root(node.attributes):
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text = node.attributes.get("text")
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return text or None
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return None
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async def search_top_global_context_summaries(
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query: str,
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top_k: int,
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vector_engine: Any,
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query_vector: Optional[list[float]] = None,
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) -> list[str]:
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"""Return up to top_k non-root GlobalContextSummary texts ranked by similarity."""
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if top_k <= 0:
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return []
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try:
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results = await vector_engine.search(
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GLOBAL_CONTEXT_SUMMARY_COLLECTION,
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None if query_vector is not None else query,
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query_vector=query_vector,
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limit=top_k + 1, # +1 in case the root is in the top results
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include_payload=True,
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)
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except CollectionNotFoundError:
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return []
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summaries: list[str] = []
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for result in results or []:
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payload = getattr(result, "payload", None) or {}
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if _is_root(payload):
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continue
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text = payload.get("text")
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if text:
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summaries.append(text)
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if len(summaries) >= top_k:
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break
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return summaries
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def format_global_context_prelude(
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root_text: Optional[str],
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top_summaries: list[str],
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) -> str:
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"""Build the prepend string. Empty when neither input has content."""
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blocks: list[str] = []
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if root_text:
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blocks.append(f"World summary:\n{root_text}")
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if top_summaries:
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joined = "\n\n".join(top_summaries)
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blocks.append(f"Relevant areas:\n{joined}")
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return "\n\n".join(blocks)
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def _is_root(attributes: dict) -> bool:
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value = attributes.get("is_root")
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if isinstance(value, bool):
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return value
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if isinstance(value, str):
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return value.lower() == "true"
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return bool(value)
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