altair823
2d68827cf5
kebab-embed/kebab-llm 은 "새 type 없음"을 자처한 순수 re-export 셸이었다 (trait 은 이미 kebab-core 소유, mock + test helper 만 보유). "kebab-core 재구성 시 안정 surface" 라는 명분은 1인 RAG 엔 speculative YAGNI. 흡수: - kebab-core 에 default-OFF `mock` feature + src/mock.rs (MockEmbedder, MockLanguageModel, assert_vector_shape/assert_unit_norm/assert_finish_chunk 을 kebab_core:: → crate:: import 만 바꿔 verbatim 이동). - production import 2곳(kebab-embed-local, kebab-llm-local) + test import 다수(search/rag/parse-image/embed-local) 를 kebab_core 로 repoint. mock 쓰는 crate 는 dev-dep 에 features=["mock"] (default 빌드 무영향). - shim 자체 테스트: mock 동작 테스트는 kebab-core/tests/ 로 이동, reexports.rs(셸 재수출 테스트)는 폐기. - crates/kebab-embed, crates/kebab-llm 삭제 + workspace member/deps 정리. - ARCHITECTURE/HANDOFF/component README 의 crate 그래프·표·rationale 갱신 (22 → 20 crates). llm-local 의 broken intra-doc link 2건도 정리. trait surface·동작 불변 (test-only + import-rename). workspace build 는 mock default-OFF 라 mock 코드 미컴파일. 적대적 검증 3렌즈(build-test-integrity + behavior-identity[mock byte-identical] + dead-crate-completeness) 통과, clippy --workspace -D warnings 클린. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012Mc6W1fgsrbFKTsqA6P8La
94 lines
4.5 KiB
TOML
94 lines
4.5 KiB
TOML
[package]
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name = "kebab-app"
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version = { workspace = true }
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edition = { workspace = true }
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rust-version = { workspace = true }
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license = { workspace = true }
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repository = { workspace = true }
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description = "Facade — orchestrates components for kb-cli/tui/desktop"
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[dependencies]
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kebab-core = { path = "../kebab-core" }
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kebab-config = { path = "../kebab-config" }
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kebab-source-fs = { path = "../kebab-source-fs" }
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kebab-parse-md = { path = "../kebab-parse-md" }
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kebab-chunk = { path = "../kebab-chunk" }
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kebab-store-sqlite = { path = "../kebab-store-sqlite" }
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kebab-store-vector = { path = "../kebab-store-vector" }
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kebab-search = { path = "../kebab-search" }
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kebab-embed-local = { path = "../kebab-embed-local" }
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kebab-embed-ollama = { path = "../kebab-embed-ollama" }
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kebab-llm-local = { path = "../kebab-llm-local" }
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kebab-rag = { path = "../kebab-rag" }
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# p9-fb-41 PR-9c-2: facade construction of OnnxNliVerifier when
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# `[rag] nli_threshold > 0`. Trait-only consumption via kebab-rag's
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# `with_verifier`; no kebab-nli internals leak into kebab-app code
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# beyond the construction site in `open_with_config`.
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kebab-nli = { path = "../kebab-nli" }
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# P6-4: image extractor + OCR + caption adapters live here. App
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# threads them into the per-asset dispatch (see `ingest_one_asset`
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# image branch). Trait-only consumption — no `kebab-parse-image`
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# internals leak into kb-app code.
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kebab-parse-image = { path = "../kebab-parse-image" }
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# P7-3: PDF text extractor lives here. App threads it into the
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# per-asset dispatch (see `ingest_one_asset` PDF branch) and runs the
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# resulting `CanonicalDocument` through `kebab-chunk::PdfPageV1Chunker`.
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kebab-parse-pdf = { path = "../kebab-parse-pdf" }
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lopdf = { workspace = true }
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# Enhancement 1 (v0.20.x r2): JPEG dimension decode in pdf_ocr_apply.rs.
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# jpeg feature added explicitly (F3 closure-r1) rather than relying on
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# feature unification via kebab-parse-image.
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image = { version = "0.25", default-features = false, features = ["png", "jpeg"] }
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# p10-1A-2: code AST extractor lives here. App threads it into the
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# per-asset dispatch (see `ingest_one_asset` Code branch) and runs the
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# resulting `CanonicalDocument` through `kebab-chunk::CodeAstV1Chunker`.
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kebab-parse-code = { path = "../kebab-parse-code" }
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anyhow = { workspace = true }
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blake3 = { workspace = true }
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serde = { workspace = true }
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serde_json = { workspace = true }
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time = { workspace = true }
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uuid = { workspace = true }
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tracing = { workspace = true }
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tracing-subscriber = { version = "0.3", features = ["env-filter", "fmt", "json"] }
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tracing-appender = "0.2"
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toml = "0.8"
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dirs = "5"
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unicode-normalization = "0.1"
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# p9-fb-31: GitignoreBuilder for .kebabignore matching in ingest_file_with_config.
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# Same version as kebab-source-fs (0.4) to avoid duplicate dep versions.
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ignore = "0.4"
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# p9-fb-34: opaque pagination cursor encodes payload as base64.
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base64 = { workspace = true }
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# Enhancement 3 (v0.20.x r2): direct SQL queries for inspect_ocr_stats/failures.
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rusqlite = { workspace = true }
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[dev-dependencies]
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kebab-config = { path = "../kebab-config" }
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rusqlite = { workspace = true }
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filetime = "0.2"
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tempfile = { workspace = true }
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# Image-pipeline integration tests use wiremock to stub Ollama for OCR
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# / caption HTTP calls. Async runtime to host the mock server only;
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# the kb-app code under test stays sync.
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wiremock = { workspace = true }
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tokio = { workspace = true, features = ["rt-multi-thread"] }
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image = { version = "0.25", default-features = false, features = ["png", "jpeg"] }
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# P7-3 PDF integration tests build in-memory PDF fixtures via the same
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# lopdf builder pattern `kebab-parse-pdf::tests::common` uses; pinned
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# to the same major (0.32) so byte output is identical between the two
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# fixture surfaces.
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lopdf = { workspace = true }
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# error_wire::tests::llm_unreachable_classifies_to_model_unreachable needs a real
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# reqwest::Error (private constructor) — built from a connect-refused call.
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reqwest = { version = "0.12", default-features = false, features = ["blocking", "rustls-tls"] }
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[features]
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# Marker feature — spec §6.3 Option A (단순): lindera 는 kebab-chunk 가 default dep 으로 소유.
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# disable path 없음; 이 feature 는 spec §6.3 명시를 honor 하는 role 만.
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default = ["fts_korean_morphological"]
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fts_korean_morphological = []
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[lints]
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workspace = true
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