Files
kebab/crates/kebab-search/tests/lexical.rs
altair823 e03d03cb26 test: 별칭 전용 테스트 삭제 + 영향 테스트/fixture 갱신
kebab-search/tests/lexical.rs 의 alias 채널 테스트 + insert_chunk_with_aliases
헬퍼 제거(body 회수 회귀 테스트로 대체). Chunk 리터럴 aliases: None 제거
(embedding_records_fk/idempotency/inspect). chunk 스냅샷 fixture 의 aliases
키 제거. config_migrate 는 ingest.code 앵커로, corpus_revision/search_lexical
주석은 V013 비-bump 명시로 갱신.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-02 21:37:58 +00:00

1302 lines
40 KiB
Rust

//! P2-2 integration tests for `LexicalRetriever`.
//!
//! Strategy: seed the SQLite store via raw inserts with `foreign_keys =
//! OFF` (mirroring the P2-1 FTS tests). This avoids dragging
//! `kb-parse-md` / `kb-normalize` / `kb-chunk` into kb-search's dev-deps,
//! which would violate the task's "Allowed deps" list.
use std::sync::Arc;
use kebab_config::Config;
use kebab_core::{
DocumentId, IndexVersion, Lang, MediaType, Retriever, ScoreKind, SearchFilters, SearchHit,
SearchMode, SearchQuery, TrustLevel,
};
use kebab_search::LexicalRetriever;
use kebab_store_sqlite::SqliteStore;
use rusqlite::Connection;
use tempfile::TempDir;
use time::OffsetDateTime;
// ── Test scaffolding ─────────────────────────────────────────────────────
struct Env {
_temp: TempDir,
store: Arc<SqliteStore>,
db_path: std::path::PathBuf,
}
impl Env {
fn new() -> Self {
let temp = tempfile::tempdir().expect("tempdir");
let mut config = Config::defaults();
config.storage.data_dir = temp.path().to_string_lossy().into_owned();
let store = SqliteStore::open(&config).expect("open store");
store.run_migrations().expect("run migrations");
let db_path = temp.path().join("kebab.sqlite");
Self {
_temp: temp,
store: Arc::new(store),
db_path,
}
}
/// Side-channel raw connection with FK enforcement off — same
/// trick used by P2-1's FTS tests so we can seed `chunks` /
/// `documents` directly without the full ingest graph.
fn raw_conn(&self) -> Connection {
let conn = Connection::open(&self.db_path).expect("open side conn");
conn.pragma_update(None, "foreign_keys", "OFF").unwrap();
conn
}
fn retriever(&self) -> LexicalRetriever {
LexicalRetriever::new(Arc::clone(&self.store), IndexVersion("v1.0".to_string()))
}
fn retriever_with_snippet_chars(&self, snippet_chars: usize) -> LexicalRetriever {
LexicalRetriever::with_settings(
Arc::clone(&self.store),
IndexVersion("v1.0".to_string()),
snippet_chars,
)
}
}
/// Minimal documents row. Many columns are NOT NULL and we don't care
/// about their exact values for retrieval tests, so we wedge in
/// reasonable defaults.
#[allow(clippy::too_many_arguments)]
fn insert_document(
conn: &Connection,
doc_id: &str,
workspace_path: &str,
title: &str,
lang: &str,
trust_level: &str,
tags: &[&str],
) {
// assets row first — documents.asset_id has a FK with ON DELETE
// RESTRICT but FKs are OFF on this connection. Still we insert a
// matching row so JOINs pick it up.
let asset_id = format!("{:0>32}", &doc_id[..1.min(doc_id.len())]); // 32-hex-ish
let asset_id = format!("{:0>32}", asset_id.chars().take(32).collect::<String>());
conn.execute(
"INSERT OR IGNORE INTO assets (
asset_id, source_uri, workspace_path, media_type, byte_len,
checksum, storage_kind, storage_path, discovered_at
) VALUES (?, 'file:///x', ?, '\"markdown\"', 0,
'd0', 'reference', '/x', '2024-01-01T00:00:00Z')",
rusqlite::params![asset_id, workspace_path],
)
.expect("insert asset");
conn.execute(
"INSERT INTO documents (
doc_id, asset_id, workspace_path, title, lang,
source_type, trust_level, parser_version,
doc_version, schema_version, metadata_json,
provenance_json, created_at, updated_at
) VALUES (?, ?, ?, ?, ?, 'markdown', ?, 'pv1', 1, 1,
'{}', '{\"events\":[]}',
'2024-01-01T00:00:00Z', '2024-01-01T00:00:00Z')",
rusqlite::params![doc_id, asset_id, workspace_path, title, lang, trust_level],
)
.expect("insert document");
for tag in tags {
conn.execute(
"INSERT INTO document_tags (doc_id, tag) VALUES (?, ?)",
rusqlite::params![doc_id, tag],
)
.expect("insert tag");
}
}
#[allow(clippy::too_many_arguments)]
fn insert_chunk(
conn: &Connection,
chunk_id: &str,
doc_id: &str,
text: &str,
heading_path: &[&str],
section_label: Option<&str>,
source_spans_json: &str,
chunker_version: &str,
) {
let heading_json = serde_json::to_string(heading_path).unwrap();
conn.execute(
"INSERT INTO chunks (
chunk_id, doc_id, text, heading_path_json, section_label,
source_spans_json, token_estimate, chunker_version,
policy_hash, block_ids_json, created_at
) VALUES (?, ?, ?, ?, ?, ?, 0, ?, 'h', '[]', '2024-01-01T00:00:00Z')",
rusqlite::params![
chunk_id,
doc_id,
text,
heading_json,
section_label,
source_spans_json,
chunker_version,
],
)
.expect("insert chunk");
}
/// Pad a short ID to the 32-hex shape kebab_core newtypes expect.
fn id32(prefix: &str) -> String {
let mut s = prefix.to_string();
while s.len() < 32 {
s.push('0');
}
s.truncate(32);
s
}
// ── Tests ────────────────────────────────────────────────────────────────
#[test]
fn lexical_empty_corpus_returns_empty_vec() {
let env = Env::new();
let r = env.retriever();
let q = SearchQuery {
text: "rust".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
};
let hits = r.search(&q).expect("search");
assert!(hits.is_empty(), "empty corpus must yield empty Vec");
}
#[test]
fn lexical_empty_query_returns_empty_vec_without_db_hit() {
// Even with rows in the DB, a blank query must short-circuit to [].
let env = Env::new();
let conn = env.raw_conn();
insert_document(&conn, &id32("d"), "notes/a.md", "A", "en", "primary", &[]);
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
"rust cargo macros",
&["A"],
None,
r#"[{"kind":"line","start":1,"end":3}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
for empty in ["", " ", "''"] {
let q = SearchQuery {
text: empty.to_string(),
mode: SearchMode::Lexical,
k: 5,
filters: SearchFilters::default(),
};
let hits = r.search(&q).unwrap();
assert!(hits.is_empty(), "query {empty:?} must yield empty Vec");
}
}
#[test]
fn lexical_single_doc_match_returns_one_hit_with_citation_round_trip() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/rust.md",
"Rust Notes",
"en",
"primary",
&[],
);
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
"Rust borrow checker enforces ownership.",
&["Notes"],
Some("Notes"),
r#"[{"kind":"line","start":4,"end":4}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let q = SearchQuery {
text: "borrow".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
};
let hits = r.search(&q).expect("search");
assert_eq!(hits.len(), 1);
let h = &hits[0];
assert_eq!(h.rank, 1);
assert_eq!(h.doc_path.0, "notes/rust.md");
assert_eq!(h.heading_path, vec!["Notes".to_string()]);
assert_eq!(h.section_label.as_deref(), Some("Notes"));
assert_eq!(h.retrieval.method, SearchMode::Lexical);
assert_eq!(h.retrieval.lexical_rank, Some(1));
assert!(h.retrieval.vector_score.is_none());
// Citation round-trips through `to_uri`/`parse` (line variant).
let uri = h.citation.to_uri();
let parsed = kebab_core::Citation::parse(&uri).expect("parse uri");
// Reparsed citation has section=None (URI fragment doesn't carry it),
// so compare by `to_uri` equivalence rather than struct equality.
assert_eq!(parsed.to_uri(), uri);
// Sanity: this is a Line citation matching the seeded source span.
assert_eq!(uri, "notes/rust.md#L4");
}
#[test]
fn lexical_snippet_length_capped_at_snippet_chars() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/long.md",
"Long",
"en",
"primary",
&[],
);
// A text long enough that FTS5 might return a snippet > 80 chars
// when given a high word budget. We instead set a tight cap below
// and rely on `trim_snippet` as the backstop.
let mut text = String::new();
for _ in 0..50 {
text.push_str("alpha beta gamma delta epsilon ");
}
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
&text,
&["Long"],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
drop(conn);
// Set snippet_chars to a known bound; the retriever clamps + trims
// any snippet to fit.
let r = env.retriever_with_snippet_chars(80);
let hits = r
.search(&SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 1,
filters: SearchFilters::default(),
})
.unwrap();
assert_eq!(hits.len(), 1);
assert!(
hits[0].snippet.chars().count() <= 80,
"snippet must be ≤ snippet_chars; got {} chars: {:?}",
hits[0].snippet.chars().count(),
hits[0].snippet
);
}
#[test]
fn lexical_filter_tags_any_excludes_untagged_docs() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d1"),
"notes/a.md",
"A",
"en",
"primary",
&["rust"],
);
insert_document(
&conn,
&id32("d2"),
"notes/b.md",
"B",
"en",
"primary",
&["python"],
);
insert_chunk(
&conn,
&id32("c1"),
&id32("d1"),
"ownership and borrow checker",
&["A"],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
insert_chunk(
&conn,
&id32("c2"),
&id32("d2"),
"borrow semantics in python",
&["B"],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let q = SearchQuery {
text: "borrow".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters {
tags_any: vec!["rust".to_string()],
..Default::default()
},
};
let hits = r.search(&q).unwrap();
assert_eq!(hits.len(), 1, "tags_any=[rust] must exclude python doc");
assert_eq!(hits[0].doc_path.0, "notes/a.md");
}
#[test]
fn lexical_filter_lang_and_trust_min_compose() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(&conn, &id32("d1"), "ko/a.md", "A", "ko", "primary", &[]);
insert_document(&conn, &id32("d2"), "en/b.md", "B", "en", "primary", &[]);
insert_document(&conn, &id32("d3"), "en/c.md", "C", "en", "generated", &[]);
for (cid, did, body) in [
("c1", "d1", "검색 키워드 alpha"),
("c2", "d2", "alpha bravo"),
("c3", "d3", "alpha gamma"),
] {
insert_chunk(
&conn,
&id32(cid),
&id32(did),
body,
&[],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
}
drop(conn);
let r = env.retriever();
// lang=en + trust_min=secondary → only d2 (primary ≥ secondary).
let hits = r
.search(&SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters {
lang: Some(Lang("en".to_string())),
trust_min: Some(TrustLevel::Secondary),
..Default::default()
},
})
.unwrap();
assert_eq!(hits.len(), 1);
assert_eq!(hits[0].doc_path.0, "en/b.md");
}
#[test]
fn lexical_filter_path_glob_does_not_cross_slash() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(&conn, &id32("d1"), "notes/a.md", "A", "en", "primary", &[]);
insert_document(
&conn,
&id32("d2"),
"notes/sub/b.md",
"B",
"en",
"primary",
&[],
);
insert_chunk(
&conn,
&id32("c1"),
&id32("d1"),
"shared keyword",
&[],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
insert_chunk(
&conn,
&id32("c2"),
&id32("d2"),
"shared keyword",
&[],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "keyword".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters {
path_glob: Some("notes/*.md".to_string()),
..Default::default()
},
})
.unwrap();
let paths: Vec<&str> = hits.iter().map(|h| h.doc_path.0.as_str()).collect();
assert_eq!(paths, vec!["notes/a.md"], "* must not match across `/`");
}
#[test]
fn lexical_citation_round_trip_against_first_source_span() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(&conn, &id32("d"), "notes/m.md", "M", "en", "primary", &[]);
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
"echo bravo",
&[],
None,
// Two spans; the citation uses the first.
r#"[{"kind":"line","start":12,"end":34},{"kind":"line","start":60,"end":61}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "bravo".to_string(),
mode: SearchMode::Lexical,
k: 1,
filters: SearchFilters::default(),
})
.unwrap();
assert_eq!(hits.len(), 1);
let uri = hits[0].citation.to_uri();
assert_eq!(uri, "notes/m.md#L12-L34");
let parsed = kebab_core::Citation::parse(&uri).unwrap();
assert_eq!(parsed.to_uri(), uri);
}
#[test]
fn lexical_top_score_within_unit_interval_three_chunks() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(&conn, &id32("d"), "notes/r.md", "R", "en", "primary", &[]);
// Three chunks of varying relevance to the query 'alpha':
// c1: alpha alpha alpha (best)
// c2: alpha bravo
// c3: bravo charlie alpha (one occurrence)
for (cid, body) in [
("c1", "alpha alpha alpha keyword"),
("c2", "alpha bravo charlie"),
("c3", "bravo charlie alpha"),
] {
insert_chunk(
&conn,
&id32(cid),
&id32("d"),
body,
&[],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
}
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
})
.unwrap();
assert!(!hits.is_empty(), "must surface at least one hit");
let top = hits[0].retrieval.fusion_score;
assert!(
top > 0.0 && top <= 1.0,
"top normalized score must be in (0, 1]; got {top}"
);
// All scores in [0, 1].
for h in &hits {
let s = h.retrieval.fusion_score;
assert!((0.0..=1.0).contains(&s), "hit score {s} out of [0, 1]");
// lexical_score and fusion_score equal in lexical-only mode.
assert_eq!(h.retrieval.lexical_score, Some(s));
}
// bm25 should rank c1 (3 occurrences) above c2 / c3.
assert!(hits[0].chunk_id.0.starts_with("c1"));
}
#[test]
fn lexical_determinism_same_query_twice() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(&conn, &id32("d"), "notes/r.md", "R", "en", "primary", &[]);
for (cid, body) in [
("c1", "alpha alpha"),
("c2", "alpha bravo"),
("c3", "alpha charlie"),
("c4", "alpha delta"),
] {
insert_chunk(
&conn,
&id32(cid),
&id32("d"),
body,
&[],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
}
drop(conn);
let r = env.retriever();
let q = SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
};
let a = r.search(&q).unwrap();
let b = r.search(&q).unwrap();
assert_eq!(
a, b,
"same DB + same query must yield identical Vec<SearchHit>"
);
}
#[test]
fn lexical_determinism_chunk_id_tiebreaker_on_equal_bm25() {
// Two chunks with byte-identical text + length → identical bm25 scores
// for any `MATCH` against them. The retriever must fall back to
// `chunk_id` ordering so the result is stable across runs.
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/tie.md",
"Tie",
"en",
"primary",
&[],
);
let cid_a = id32("aaaa");
let cid_b = id32("bbbb");
assert!(cid_a < cid_b, "test premise: aaaa-id sorts before bbbb-id");
for cid in [&cid_a, &cid_b] {
insert_chunk(
&conn,
cid,
&id32("d"),
"alpha bravo charlie",
&[],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
}
drop(conn);
let r = env.retriever();
let q = SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
};
let a = r.search(&q).unwrap();
let b = r.search(&q).unwrap();
assert_eq!(a.len(), 2, "both chunks should match");
// bm25 must be equal for byte-identical chunks; the secondary sort
// by chunk_id pins the order.
assert!(
(a[0].retrieval.fusion_score - a[1].retrieval.fusion_score).abs() < 1e-9,
"byte-identical chunks must score equally; got {} vs {}",
a[0].retrieval.fusion_score,
a[1].retrieval.fusion_score
);
assert!(
a[0].chunk_id.0 < a[1].chunk_id.0,
"tiebreaker must order by chunk_id ascending; got {} then {}",
a[0].chunk_id.0,
a[1].chunk_id.0
);
assert_eq!(a, b, "tiebreaker order must be stable across runs");
}
#[test]
fn lexical_index_version_is_returned_unchanged() {
let env = Env::new();
let r = LexicalRetriever::new(
Arc::clone(&env.store),
IndexVersion("custom-label-1".to_string()),
);
assert_eq!(r.index_version().0, "custom-label-1");
}
#[test]
fn search_hit_carries_indexed_at_from_documents_updated_at() {
// p9-fb-32: SearchHit.indexed_at must be populated from
// documents.updated_at via the JOIN. We seed documents with
// updated_at=now (RFC3339) and assert the parsed OffsetDateTime
// round-trips within ±60s of wall-clock now.
use time::OffsetDateTime;
use time::format_description::well_known::Rfc3339;
let env = Env::new();
let conn = env.raw_conn();
// The `insert_document` helper hard-codes updated_at='2024-01-01...';
// override that here so the assertion against `now` is meaningful.
let now = OffsetDateTime::now_utc();
let now_rfc = now.format(&Rfc3339).expect("format now as rfc3339");
let doc_id = id32("d");
let asset_id = format!("{:0>32}", "d");
conn.execute(
"INSERT OR IGNORE INTO assets (
asset_id, source_uri, workspace_path, media_type, byte_len,
checksum, storage_kind, storage_path, discovered_at
) VALUES (?, 'file:///x', 'a.md', '\"markdown\"', 0,
'd0', 'reference', '/x', '2024-01-01T00:00:00Z')",
rusqlite::params![asset_id],
)
.expect("insert asset");
conn.execute(
"INSERT INTO documents (
doc_id, asset_id, workspace_path, title, lang,
source_type, trust_level, parser_version,
doc_version, schema_version, metadata_json,
provenance_json, created_at, updated_at
) VALUES (?, ?, 'a.md', 'T', 'en', 'markdown', 'primary', 'pv1', 1, 1,
'{}', '{\"events\":[]}',
?, ?)",
rusqlite::params![doc_id, asset_id, now_rfc, now_rfc],
)
.expect("insert document");
insert_chunk(
&conn,
&id32("c1"),
&doc_id,
"body about apples",
&["T"],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "apples".to_string(),
mode: SearchMode::Lexical,
k: 5,
filters: SearchFilters::default(),
})
.expect("search");
let hit = hits.first().expect("at least one hit");
let now2 = OffsetDateTime::now_utc();
let delta = (now2 - hit.indexed_at).whole_seconds().abs();
assert!(delta < 60, "indexed_at within ±60s of now, got {delta}s");
// stale is a placeholder set by the retriever; the App layer overwrites.
assert!(!hit.stale, "lexical retriever must default stale=false");
}
#[test]
fn lexical_retriever_hits_carry_bm25_score_kind() {
// p9-fb-38: verify that every hit returned by LexicalRetriever
// has score_kind == ScoreKind::Bm25. This establishes the
// relationship: Lexical-only search → Bm25 score semantics.
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/bm25.md",
"Bm25",
"en",
"primary",
&[],
);
for (cid, body) in [
("c1", "alpha bravo charlie"),
("c2", "alpha delta"),
("c3", "bravo echo"),
] {
insert_chunk(
&conn,
&id32(cid),
&id32("d"),
body,
&["Bm25"],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
}
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
})
.expect("search");
assert!(
!hits.is_empty(),
"fixture should produce at least one hit for 'alpha'"
);
for h in &hits {
assert_eq!(
h.score_kind,
ScoreKind::Bm25,
"lexical retriever must label all hits with ScoreKind::Bm25"
);
}
}
// ── TestEnv helper for fb-36 filter tests ───────────────────────────────
/// Convenience wrapper over `Env` that exposes higher-level fixture helpers
/// for the fb-36 filter tests. Intentionally kept separate from `Env` so
/// the original tests are untouched.
struct TestEnv {
inner: Env,
counter: std::cell::Cell<u32>,
}
impl TestEnv {
fn new() -> Self {
Self {
inner: Env::new(),
counter: std::cell::Cell::new(0),
}
}
/// Allocate a fresh monotone counter suffix so every inserted doc / chunk
/// gets a unique 32-hex ID without the caller worrying about collisions.
fn next_id(&self, prefix: &str) -> String {
let n = self.counter.get();
self.counter.set(n + 1);
let suffix = format!("{prefix}{n:04}");
id32(&suffix)
}
/// Insert a markdown doc with the given `body` and return its `DocumentId`.
fn insert_doc(&self, path: &str, body: &str) -> DocumentId {
self.insert_doc_with_media(path, body, MediaType::Markdown)
}
/// Insert a doc whose `assets.media_type` JSON is set to the serialized
/// form of `media`. The `documents.updated_at` defaults to now.
fn insert_doc_with_media(&self, path: &str, body: &str, media: MediaType) -> DocumentId {
self.insert_doc_full(path, body, media, OffsetDateTime::now_utc())
}
/// Insert a doc with an explicit `updated_at` timestamp (for
/// `ingested_after` filter tests).
fn insert_doc_with_updated_at(
&self,
path: &str,
body: &str,
updated_at: OffsetDateTime,
) -> DocumentId {
self.insert_doc_full(path, body, MediaType::Markdown, updated_at)
}
fn insert_doc_full(
&self,
path: &str,
body: &str,
media: MediaType,
updated_at: OffsetDateTime,
) -> DocumentId {
self.insert_doc_full_with_metadata(path, body, media, updated_at, "{}")
}
/// Like `insert_doc_full` but accepts an explicit `metadata_json` string
/// so p10-1A-1 filter tests can set `metadata.code_lang` / `metadata.repo`.
fn insert_doc_full_with_metadata(
&self,
path: &str,
body: &str,
media: MediaType,
updated_at: OffsetDateTime,
metadata_json: &str,
) -> DocumentId {
use time::format_description::well_known::Rfc3339;
let doc_id = self.next_id("doc");
let chunk_id = self.next_id("chk");
let asset_id = self.next_id("ast");
let media_json = serde_json::to_string(&media).expect("serialize MediaType");
let updated_at_str = updated_at.format(&Rfc3339).expect("format updated_at");
let conn = self.inner.raw_conn();
conn.execute(
"INSERT OR IGNORE INTO assets (
asset_id, source_uri, workspace_path, media_type, byte_len,
checksum, storage_kind, storage_path, discovered_at
) VALUES (?, ?, ?, ?, 0,
'd0', 'reference', ?, '2024-01-01T00:00:00Z')",
rusqlite::params![asset_id, format!("file:///{path}"), path, media_json, path],
)
.expect("insert asset");
conn.execute(
"INSERT INTO documents (
doc_id, asset_id, workspace_path, title, lang,
source_type, trust_level, parser_version,
doc_version, schema_version, metadata_json,
provenance_json, created_at, updated_at
) VALUES (?, ?, ?, NULL, 'en', 'code', 'primary', 'pv1', 1, 1,
?, '{\"events\":[]}',
'2024-01-01T00:00:00Z', ?)",
rusqlite::params![doc_id, asset_id, path, metadata_json, updated_at_str],
)
.expect("insert document");
let empty_headings: Vec<&str> = vec![];
let heading_json = serde_json::to_string(&empty_headings).unwrap();
conn.execute(
"INSERT INTO chunks (
chunk_id, doc_id, text, heading_path_json, section_label,
source_spans_json, token_estimate, chunker_version,
policy_hash, block_ids_json, created_at
) VALUES (?, ?, ?, ?, NULL,
'[{\"kind\":\"line\",\"start\":1,\"end\":1}]',
1, 'v1', 'h', '[]', '2024-01-01T00:00:00Z')",
rusqlite::params![chunk_id, doc_id, body, heading_json],
)
.expect("insert chunk");
DocumentId(doc_id)
}
/// Insert a code doc with explicit `code_lang` and optional `repo` in metadata.
fn insert_code_doc(
&self,
path: &str,
body: &str,
code_lang: &str,
repo: Option<&str>,
) -> DocumentId {
let metadata_json = match repo {
Some(r) => format!(r#"{{"code_lang":"{code_lang}","repo":"{r}"}}"#),
None => format!(r#"{{"code_lang":"{code_lang}"}}"#),
};
self.insert_doc_full_with_metadata(
path,
body,
MediaType::Markdown,
OffsetDateTime::now_utc(),
&metadata_json,
)
}
fn run_search(&self, query: &str, filters: &SearchFilters) -> Vec<SearchHit> {
let r = self.inner.retriever();
let q = SearchQuery {
text: query.to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: filters.clone(),
};
r.search(&q).expect("search")
}
}
// ── fb-36 filter tests ───────────────────────────────────────────────────
#[test]
fn lexical_filter_by_media() {
let env = TestEnv::new();
env.insert_doc_with_media("md1.md", "rust ownership", MediaType::Markdown);
env.insert_doc_with_media("doc.pdf", "rust pdf body", MediaType::Pdf);
let filters = SearchFilters {
media: vec!["pdf".to_string()],
..Default::default()
};
let hits = env.run_search("rust", &filters);
assert_eq!(hits.len(), 1, "only pdf doc should match");
assert!(
hits[0].doc_path.0.ends_with(".pdf"),
"got: {}",
hits[0].doc_path.0
);
}
#[test]
fn lexical_filter_by_ingested_after() {
let env = TestEnv::new();
env.insert_doc_with_updated_at(
"old.md",
"ingest test",
time::macros::datetime!(2020-01-01 00:00:00 UTC),
);
env.insert_doc_with_updated_at(
"new.md",
"ingest test",
time::macros::datetime!(2026-01-01 00:00:00 UTC),
);
let filters = SearchFilters {
ingested_after: Some(time::macros::datetime!(2025-01-01 00:00:00 UTC)),
..Default::default()
};
let hits = env.run_search("ingest", &filters);
assert_eq!(hits.len(), 1, "only post-2025 doc matches");
}
#[test]
fn lexical_filter_by_doc_id() {
let env = TestEnv::new();
let target = env.insert_doc("a.md", "shared term");
env.insert_doc("b.md", "shared term");
let filters = SearchFilters {
doc_id: Some(target.clone()),
..Default::default()
};
let hits = env.run_search("shared", &filters);
assert!(
!hits.is_empty(),
"should get at least one hit for target doc"
);
for h in &hits {
assert_eq!(h.doc_id, target, "all hits must be from target doc");
}
}
#[test]
fn lexical_filter_combinator_is_and() {
let env = TestEnv::new();
let target = env.insert_doc_with_media("a.md", "rust", MediaType::Markdown);
env.insert_doc_with_media("b.pdf", "rust", MediaType::Pdf);
let filters = SearchFilters {
media: vec!["markdown".to_string()],
doc_id: Some(target.clone()),
..Default::default()
};
let hits = env.run_search("rust", &filters);
assert!(!hits.is_empty(), "target doc should match combined filter");
assert!(hits.iter().all(|h| h.doc_id == target));
}
#[test]
fn lexical_filter_unknown_media_returns_empty() {
let env = TestEnv::new();
env.insert_doc("a.md", "rust");
let filters = SearchFilters {
media: vec!["nonexistent_kind".to_string()],
..Default::default()
};
let hits = env.run_search("rust", &filters);
assert!(hits.is_empty(), "unknown media → no hits, no error");
}
#[test]
fn lexical_empty_filters_match_default_behavior() {
let env = TestEnv::new();
env.insert_doc("a.md", "rust");
let with_default = env.run_search("rust", &SearchFilters::default());
assert!(!with_default.is_empty());
}
// ── p10-1A-1 filter tests ────────────────────────────────────────────────
#[test]
fn lexical_filter_by_code_lang() {
// Three docs: python code, rust code, markdown (no code_lang).
// Filter code_lang=["python"] → only the python doc should match.
let env = TestEnv::new();
env.insert_code_doc("src/main.py", "AsyncClient session", "python", None);
env.insert_code_doc("src/lib.rs", "AsyncClient session", "rust", None);
env.insert_doc("docs/guide.md", "AsyncClient session");
let filters = SearchFilters {
code_lang: vec!["python".to_string()],
..Default::default()
};
let hits = env.run_search("AsyncClient", &filters);
assert_eq!(
hits.len(),
1,
"only python doc should match code_lang filter"
);
assert!(
hits[0].doc_path.0.ends_with(".py"),
"expected python path, got: {}",
hits[0].doc_path.0
);
}
#[test]
fn lexical_filter_by_repo() {
// Three docs: one in repo "httpx", one in repo "requests", one with no repo.
// Filter repo=["httpx"] → only the httpx doc should match.
let env = TestEnv::new();
env.insert_code_doc(
"httpx/client.py",
"session send request",
"python",
Some("httpx"),
);
env.insert_code_doc(
"requests/api.py",
"session send request",
"python",
Some("requests"),
);
env.insert_code_doc("standalone.py", "session send request", "python", None);
let filters = SearchFilters {
repo: vec!["httpx".to_string()],
..Default::default()
};
let hits = env.run_search("session", &filters);
assert_eq!(hits.len(), 1, "only httpx doc should match repo filter");
assert!(
hits[0].doc_path.0.starts_with("httpx/"),
"expected httpx path, got: {}",
hits[0].doc_path.0
);
}
#[test]
fn lexical_snapshot_run_1() {
// Pinned snapshot. A small, deterministic corpus; the JSON shape of
// `Vec<SearchHit>` for a fixed query is checked verbatim against
// `tests/fixtures/search/lexical/run-1.json`. Update both sides in
// the same commit when intentional changes ship.
// Stable because rusqlite ships bundled SQLite — a tokenizer/bm25 algorithm change in a future SQLite bump will require regenerating run-1.json via `KEBAB_UPDATE_SNAPSHOTS=1`.
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/snap.md",
"Snap",
"en",
"primary",
&[],
);
for (cid, body, span) in [
(
"c1",
"alpha bravo charlie",
r#"[{"kind":"line","start":1,"end":2}]"#,
),
(
"c2",
"bravo only here",
r#"[{"kind":"line","start":4,"end":5}]"#,
),
(
"c3",
"alpha alpha",
r#"[{"kind":"line","start":7,"end":8}]"#,
),
] {
insert_chunk(
&conn,
&id32(cid),
&id32("d"),
body,
&["Snap"],
Some("Snap"),
span,
"v1",
);
}
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "alpha".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
})
.unwrap();
let actual = serde_json::to_value(&hits).unwrap();
let baseline_path = std::path::Path::new(env!("CARGO_MANIFEST_DIR"))
.join("tests/fixtures/search/lexical/run-1.json");
if std::env::var_os("KEBAB_UPDATE_SNAPSHOTS").is_some() {
std::fs::write(
&baseline_path,
serde_json::to_string_pretty(&actual).unwrap(),
)
.unwrap();
}
let baseline_text = std::fs::read_to_string(&baseline_path)
.expect("baseline snapshot must exist; run with KEBAB_UPDATE_SNAPSHOTS=1 to seed");
let expected: serde_json::Value = serde_json::from_str(&baseline_text).unwrap();
assert_eq!(actual, expected, "lexical run-1 snapshot drift");
}
// ── post-v0.17.1 dogfood — `text` column filter ──────────────────────────
/// Heading-only token (unique to `chunks.heading_path_json`, absent
/// from `chunks.text`) must NOT hit in default mode after the column
/// filter clamp. Pins HOTFIXES 2026-05-24 closure — the JSON
/// punctuation + path segments in `heading_path_json` are no longer
/// matchable from a plain query.
#[test]
fn lexical_heading_only_token_does_not_hit_default_mode() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/heading-only.md",
"Heading-only fixture",
"en",
"primary",
&[],
);
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
"bravo charlie delta echo",
&["kubernetes-agent-controller"],
Some("Heading"),
r#"[{"kind":"line","start":1,"end":2}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
// "kubernetes-agent-controller" is in heading_path only.
text: "kubernetes-agent-controller".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
})
.unwrap();
assert!(
hits.is_empty(),
"heading-only token must not hit text column; got {} hits",
hits.len()
);
}
/// Raw mode (`'heading_path : <token>'`) is the opt-in escape hatch
/// for users who deliberately want heading-column matching after the
/// default text-only clamp. The same fixture that 0-hits in default
/// mode must hit when the user explicitly scopes to `heading_path`.
#[test]
fn lexical_raw_mode_can_opt_into_heading_path_filter() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/heading-only.md",
"Heading-only fixture",
"en",
"primary",
&[],
);
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
"bravo charlie delta echo",
&["kubernetes-agent-controller"],
Some("Heading"),
r#"[{"kind":"line","start":1,"end":2}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
// Raw mode: outer single quotes opt out of column-filter
// wrapping and pass the FTS5 expression through verbatim.
text: "'heading_path : \"kubernetes-agent-controller\"'".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
})
.unwrap();
assert_eq!(
hits.len(),
1,
"raw-mode heading_path filter must hit the seeded chunk"
);
}
// ── body-only lexical recall (regression-safety) ──────────────────────────
/// Body `chunks_fts` recall works for a plain term in the chunk text.
/// (Was previously the `empty_aliases_table_matches_baseline` regression
/// guard; doc-side expansion was removed 2026-06-03 so the body channel is
/// the only lexical channel.)
#[test]
fn body_term_recalls_chunk() {
let env = Env::new();
let conn = env.raw_conn();
insert_document(
&conn,
&id32("d"),
"notes/own.md",
"Own",
"en",
"primary",
&[],
);
insert_chunk(
&conn,
&id32("c1"),
&id32("d"),
"rust ownership and borrow checker",
&["Own"],
None,
r#"[{"kind":"line","start":1,"end":1}]"#,
"v1",
);
drop(conn);
let r = env.retriever();
let hits = r
.search(&SearchQuery {
text: "ownership".to_string(),
mode: SearchMode::Lexical,
k: 10,
filters: SearchFilters::default(),
})
.unwrap();
assert!(
hits.iter().any(|h| h.chunk_id.0 == id32("c1")),
"본문 매칭 청크가 정상 회수돼야 한다 (회귀 안전)"
);
}