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mimo/code/
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burn/20260
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b5ed262581 |
@@ -1340,6 +1340,74 @@ class MnemosyneArchive:
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results.sort(key=lambda x: x["score"], reverse=True)
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return results[:limit]
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def discover(
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self,
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count: int = 3,
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prefer_fading: bool = True,
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topic: Optional[str] = None,
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) -> list[ArchiveEntry]:
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"""Serendipitous entry discovery weighted by vitality decay.
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Selects entries probabilistically, with weighting that surfaces
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neglected/forgotten entries more often (when prefer_fading=True)
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or vibrant/active entries (when prefer_fading=False). Touches
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selected entries to boost vitality, preventing the same entries
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from being immediately re-surfaced.
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Args:
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count: Number of entries to discover (default 3).
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prefer_fading: If True (default), weight toward fading entries.
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If False, weight toward vibrant entries.
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topic: If set, restrict to entries with this topic (case-insensitive).
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Returns:
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List of ArchiveEntry, up to count entries.
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"""
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import random
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candidates = list(self._entries.values())
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if not candidates:
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return []
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if topic:
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topic_lower = topic.lower()
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candidates = [e for e in candidates if topic_lower in [t.lower() for t in e.topics]]
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if not candidates:
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return []
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# Compute vitality for each candidate
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entries_with_vitality = [(e, self._compute_vitality(e)) for e in candidates]
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# Build weights: invert vitality for fading preference, use directly for vibrant
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if prefer_fading:
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# Lower vitality = higher weight. Use (1 - vitality + epsilon) so
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# even fully vital entries have some small chance.
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weights = [1.0 - v + 0.01 for _, v in entries_with_vitality]
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else:
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# Higher vitality = higher weight. Use (vitality + epsilon).
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weights = [v + 0.01 for _, v in entries_with_vitality]
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# Sample without replacement
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selected: list[ArchiveEntry] = []
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available_entries = [e for e, _ in entries_with_vitality]
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available_weights = list(weights)
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actual_count = min(count, len(available_entries))
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for _ in range(actual_count):
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if not available_entries:
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break
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idx = random.choices(range(len(available_entries)), weights=available_weights, k=1)[0]
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selected.append(available_entries.pop(idx))
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available_weights.pop(idx)
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# Touch selected entries to boost vitality
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for entry in selected:
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self.touch(entry.id)
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return selected
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def rebuild_links(self, threshold: Optional[float] = None) -> int:
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"""Recompute all links from scratch.
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@@ -392,6 +392,25 @@ def cmd_resonance(args):
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print()
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def cmd_discover(args):
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archive = MnemosyneArchive()
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topic = args.topic if args.topic else None
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results = archive.discover(
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count=args.count,
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prefer_fading=not args.vibrant,
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topic=topic,
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)
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if not results:
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print("No entries to discover.")
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return
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for entry in results:
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v = archive.get_vitality(entry.id)
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print(f"[{entry.id[:8]}] {entry.title}")
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print(f" Topics: {', '.join(entry.topics) if entry.topics else '(none)'}")
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print(f" Vitality: {v['vitality']:.4f} (boosted)")
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print()
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def cmd_vibrant(args):
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archive = MnemosyneArchive()
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results = archive.vibrant(limit=args.limit)
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@@ -499,6 +518,11 @@ def main():
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rs.add_argument("-n", "--limit", type=int, default=20, help="Max pairs to show (default: 20)")
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rs.add_argument("--topic", default="", help="Restrict to entries with this topic")
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di = sub.add_parser("discover", help="Serendipitous entry exploration")
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di.add_argument("-n", "--count", type=int, default=3, help="Number of entries to discover (default: 3)")
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di.add_argument("-t", "--topic", default="", help="Filter to entries with this topic")
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di.add_argument("--vibrant", action="store_true", help="Prefer alive entries over fading ones")
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sn = sub.add_parser("snapshot", help="Point-in-time backup and restore")
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sn_sub = sn.add_subparsers(dest="snapshot_cmd")
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sn_create = sn_sub.add_parser("create", help="Create a new snapshot")
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@@ -543,6 +567,7 @@ def main():
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"fading": cmd_fading,
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"vibrant": cmd_vibrant,
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"resonance": cmd_resonance,
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"discover": cmd_discover,
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"snapshot": cmd_snapshot,
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}
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dispatch[args.command](args)
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