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Harden maintainer-preview harness and review fixes

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Unify conversational domain routing, preserve artifact completion evidence, replace provisional tool-round prose with terminal synthesis, and resolve verified maintainer review findings across search, frontend module identity, path policy, configuration, and built-in skill startup.
This commit is contained in:
pewdiepie-archdaemon
2026-09-21 06:54:03 +00:00
parent d7cad0621f
commit 297ad19248
54 changed files with 1223 additions and 110 deletions
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services/search/core.py
+30 -8
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@@ -226,6 +226,21 @@ def _meaningful_query_terms(query: str) -> list[str]:
]
# Leading function/auxiliary words carry no entity signal. They are kept out
# of _SEARCH_QUERY_FILLER (which gates overall query meaningfulness) and
# applied only to the document-cue entity test below, where taking the *first*
# surviving token as the entity otherwise picks "how"/"i"/"best" and rejects
# every genuinely relevant result.
_QUERY_FUNCTION_WORDS = frozenset({
"how", "to", "i", "we", "you", "your", "my", "our", "me", "us",
"a", "an", "is", "are", "was", "were", "do", "does", "did", "can",
"could", "should", "would", "will", "get", "getting", "got",
"there", "here", "need", "needed", "want", "looking", "show", "give",
"help", "best", "good", "top", "recommended", "some", "it", "its",
"of", "in", "on", "at", "by", "or", "and", "be", "have", "has",
})
def _result_has_query_overlap(query: str, result: dict) -> bool:
terms = _meaningful_query_terms(query)
if not terms:
@@ -247,7 +262,7 @@ def _result_has_query_overlap(query: str, result: dict) -> bool:
"documentation", "docs", "pdf", "handbook",
}
if query_tokens & document_cues:
entity_fillers = _SEARCH_QUERY_FILLER | document_cues | {
entity_fillers = _SEARCH_QUERY_FILLER | document_cues | _QUERY_FUNCTION_WORDS | {
"english", "operator", "owner", "owners", "user", "installation",
}
ordered_query_tokens = re.findall(r"[a-z0-9]+", str(query or "").lower())
@@ -258,7 +273,13 @@ def _result_has_query_overlap(query: str, result: dict) -> bool:
# Product/manual lookups are especially vulnerable to homonyms. A
# result matching only the generic product word and "manual" is not
# evidence for the named brand/entity in the request.
if entity_terms and entity_terms[0] not in result_tokens:
#
# Test *any* entity term rather than specifically the first. Position
# does not identify the entity: "how to configure nginx docs" leads
# with a task verb, "best guide for sourdough" with a qualifier. A
# result naming none of the entity terms is still rejected, which is
# what keeps a Ford manual out of an IKEA BILLY lookup.
if entity_terms and not (set(entity_terms) & result_tokens):
return False
model_numbers = {token for token in ordered_query_tokens if token.isdigit()}
# Temporal qualifiers are not product identifiers. In particular,
@@ -296,12 +317,13 @@ def _result_has_query_overlap(query: str, result: dict) -> bool:
def _filter_low_relevance_results(query: str, results: list[dict]) -> list[dict]:
if not results:
return []
relevant = [result for result in results
if _result_matches_site_scope(query, result)
and _result_has_query_overlap(query, result)]
# Only reject a provider when it returned a fully off-topic page set. Mixed
# result pages are common; ranking can handle those.
return relevant if relevant else []
scoped = [result for result in results if _result_matches_site_scope(query, result)]
relevant = [result for result in scoped if _result_has_query_overlap(query, result)]
# Relevance matching is intentionally conservative and cannot understand
# every inflection or language. Keep explicit site constraints strict, but
# let ranking handle a provider page when the heuristic rejects every
# otherwise in-scope result.
return relevant or scoped
def _result_matches_site_scope(query: str, result: dict) -> bool: