altair823
911fb49550
프로젝트 이름 `kb` → `kebab` rename 의 첫 단계. - workspace `Cargo.toml`: members `crates/kb-*` → `crates/kebab-*`, repository URL `altair823/kb` → `altair823/kebab`. - 18 crate 폴더 rename via `git mv` (history 보존). - 각 crate `Cargo.toml`: `name = "kb-*"` → `"kebab-*"`, path deps `../kb-*` → `../kebab-*`. - 모든 `.rs`: `kb_<id>` snake-case 모듈 path 18 개 (`kb_core`, `kb_config`, `kb_app`, `kb_cli`, `kb_eval`, `kb_search`, `kb_chunk`, `kb_normalize`, `kb_source_fs`, `kb_parse_md`, `kb_parse_types`, `kb_store_sqlite`, `kb_store_vector`, `kb_embed`, `kb_embed_local`, `kb_llm`, `kb_llm_local`, `kb_rag`) → `kebab_<id>` 일괄 sed (단어 경계 \\b 사용해 영어 문장 안의 "kb" 약어 미오염). CLI binary 이름 (`[[bin]] name = "kb"`), 환경변수 `KB_*`, XDG paths, tracing target, 그리고 docs sweep 은 다음 commit 에서. ## 검증 - `cargo check --workspace` clean — 모든 crate 빌드 통과 후 commit. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
44 lines
1.8 KiB
Rust
44 lines
1.8 KiB
Rust
//! `kb-app::ask` smoke tests.
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//!
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//! The pipeline's behavior is exhaustively covered by `kb-rag` tests
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//! (which inject `MockLanguageModel` + `MockRetriever`). The kb-app
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//! facade is a thin component wirer: it picks the retriever per
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//! `opts.mode` and constructs an `OllamaLanguageModel`. Exercising
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//! that wiring requires a real Ollama on `127.0.0.1:11434`, so this
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//! test is `#[ignore]` by default — run with `cargo test -p kb-app
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//! --test ask_smoke -- --ignored` against a live Ollama.
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mod common;
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use common::TestEnv;
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/// Lexical-mode ask end-to-end. Requires a real Ollama on
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/// `config.models.llm.endpoint` (default `127.0.0.1:11434`) running the
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/// configured model. The pipeline body is otherwise covered by kb-rag's
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/// integration tests; this just verifies the facade composes the
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/// components correctly.
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#[test]
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#[ignore = "requires real Ollama on 127.0.0.1:11434"]
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fn ask_lexical_smoke() {
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let env = TestEnv::lexical_only();
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kebab_app::ingest_with_config(env.config.clone(), env.scope(), true).unwrap();
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let opts = kebab_app::AskOpts {
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k: 5,
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explain: false,
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mode: kebab_core::SearchMode::Lexical,
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temperature: Some(0.0),
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seed: Some(0),
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stream_sink: None,
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};
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// The fixture workspace contains "ownership" content; the model's
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// citation behavior depends on its training, so we don't assert on
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// grounded — only that the call returns a structurally-valid Answer.
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let answer = kebab_app::ask_with_config(env.config.clone(), "ownership", opts)
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.expect("ask returns Ok with a real Ollama backend");
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// retrieval summary always populated, regardless of grounded path.
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assert_eq!(answer.retrieval.mode, kebab_core::SearchMode::Lexical);
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assert!(answer.retrieval.k >= 5);
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assert!(answer.retrieval.trace_id.0.starts_with("ret_"));
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}
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