dcb0b34ccc
- restore articulation surface as ChatResponse.surface while retaining walk_surface telemetry - calibrate moderate E2 energy boundary - reclose generated field states after propagation and recall - restore pytest-safe REPL parsing and field_walk helper - anchor proposition predicate selection to prompt field - make vault exact self-recall deterministic - align chat telemetry regression with restored surface contract
79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
"""
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VaultStore — exact memory via CGA inner product scan.
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No HNSW. No approximate nearest neighbor. No index rebuild.
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Recall is exact and deterministic over stored versors. When the query is the
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same point that was stored, exact self-match is promoted ahead of metric ties
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or CGA-sign artifacts.
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"""
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import numpy as np
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from algebra.backend import vault_recall
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from algebra.cga import null_project
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class VaultStore:
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def __init__(self, reproject_interval: int = 100):
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self._versors: list = []
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self._metadata: list = []
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self._store_count: int = 0
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self._reproject_interval = reproject_interval
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def store(self, F: np.ndarray, metadata: dict = None) -> int:
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"""Store a versor. Returns its index. Auto-reprojects every N stores."""
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self._versors.append(np.asarray(F, dtype=np.float32).copy())
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self._metadata.append(metadata or {})
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self._store_count += 1
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if self._reproject_interval > 0 and self._store_count % self._reproject_interval == 0:
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self.reproject()
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return len(self._versors) - 1
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def recall(self, query: np.ndarray, top_k: int = 5) -> list:
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"""
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Return top_k closest stored versors by CGA inner product.
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Each result: {versor, score, metadata, index}
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"""
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if not self._versors or top_k <= 0:
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return []
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query_arr = np.asarray(query, dtype=np.float32)
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ranked = vault_recall(self._versors, query_arr, max(top_k, 1))
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exact_matches = [
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(i, float("inf"))
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for i, versor in enumerate(self._versors)
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if np.array_equal(np.asarray(versor, dtype=np.float32), query_arr)
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]
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if exact_matches:
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seen = {i for i, _score in exact_matches}
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ranked = exact_matches + [(i, score) for i, score in ranked if i not in seen]
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return [
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{
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"versor": self._versors[i],
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"score": float(score),
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"metadata": self._metadata[i],
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"index": i,
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}
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for i, score in ranked[:top_k]
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]
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def reproject(self) -> None:
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"""
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Re-project all stored versors onto the null cone.
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Corrects floating-point drift. Run between turns or asynchronously.
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"""
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self._versors = [null_project(v) for v in self._versors]
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@property
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def reproject_interval(self) -> int:
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"""Return the configured auto-reprojection cadence in store operations."""
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return self._reproject_interval
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@property
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def store_count(self) -> int:
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"""Return how many store() operations have occurred in this vault."""
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return self._store_count
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def __len__(self) -> int:
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return len(self._versors)
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