fix(memory/holographic): apply FTS5 sanitizer to search_facts sibling
The store-level search_facts() shared the same raw-MATCH bug class as _fts_candidates (FTS5 AND-joins tokens, zeroing prose recall). Route it through FactRetriever._sanitize_fts_query via a lazy import to keep the store->retrieval layering acyclic. Also add cyb3rwr3n to release AUTHOR_MAP.
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2 changed files with 9 additions and 1 deletions
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@ -205,7 +205,14 @@ class MemoryStore:
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if not query:
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return []
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params: list = [query, min_trust]
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# FTS5 AND-joins tokens by default, which zeroes out recall on
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# natural-language queries. Reuse the retriever's sanitizer
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# (stopword drop + OR-join content tokens). Imported lazily to
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# avoid a store->retrieval import cycle.
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from plugins.memory.holographic.retrieval import FactRetriever
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match_query = FactRetriever._sanitize_fts_query(query)
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params: list = [match_query, min_trust]
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category_clause = ""
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if category is not None:
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category_clause = "AND f.category = ?"
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@ -45,6 +45,7 @@ ACP_REGISTRY_MANIFEST = REPO_ROOT / "acp_registry" / "agent.json"
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# Auto-extracted from noreply emails + manual overrides
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AUTHOR_MAP = {
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"cyb3rwr3n@users.noreply.github.com": "cyb3rwr3n", # PR #11333 salvage (sanitize FTS5 queries for natural-language recall in holographic memory)
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"186512915+lEWFkRAD@users.noreply.github.com": "lEWFkRAD", # PR #53848 salvage (stream the MoA aggregator response to the user)
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"193368749+jimmyjohansson84@users.noreply.github.com": "jimmyjohansson84", # PR #27123 salvage (Kanban unknown-skill warn-instead-of-crash; #27136)
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"gxalong@gmail.com": "Jeffgithub0029", # PR #28558 salvage (chunk Telegram text *after* MarkdownV2/HTML formatting so escaping inflation can't push a send over the 4096 UTF-16 limit; #28557)
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