forked from akai/readest
Huang Xin
2d819b476c
* fix(db): forward DatabaseOpts to tauri-plugin-turso NativeDatabaseService.open ignored its opts parameter, dropping any experimental feature flags (e.g. 'index_method' needed for FTS / vector indexes) and any encryption config before they could reach the Tauri plugin. Translate DatabaseOpts to the plugin's LoadOptions shape and forward as the single argument Database.load accepts. Skip translation when no relevant opts are set so the existing path-string call shape is preserved for callers without experimental/encryption needs. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(db): cover Turso vector primitives + add benchmark harness Verifies the Turso functions Reedy retrieval depends on, with a brute-force per-book kNN test that runs against every DatabaseService backend (node, native, WASM): SELECT vector_distance_cos(embedding, vector32(?)) AS d FROM book_chunks WHERE book_hash = ? ORDER BY d ASC LIMIT k This is the path Turso's own founder recommended in tursodatabase/turso#3778 ("First, focus on efficient SIMD-accelerated brute-force search") and what shipped at commit 1aba105df4f. Native vector index modules don't exist in this engine: `libsql_vector_idx`, `vector_top_k`, and `USING vector/hnsw/diskann/ivfflat` all parse-error against @tursodatabase/database@0.6.0-pre.28 (libsql_vector_idx is a libSQL/sqld fork feature; DiskANN was closed not-planned upstream in #832). The test asserts cross-book isolation and nearest-first ordering using only `WHERE book_hash = ?` and `ORDER BY` — no DDL, no identifier interpolation, no index plumbing. Also adds bench/ harness for manual perf checks: pnpm bench [name] run benchmarks (refuses in CI) pnpm bench --list list available benchmarks pnpm bench --no-record skip results.jsonl append pnpm bench --force override the CI guard Uses Node 24's --experimental-strip-types so no tsx devDep is needed. Appends one JSON line per run to bench/results.jsonl (gitignored, local history; share by pasting tabular stdout into PRs/issues). Explicitly NOT in CI — shared-tenant variance makes synthetic-benchmark regression detection unreliable; production telemetry (reedy_metrics, plan §M1.9) is the right tool for that. First benchmark: vector-retrieval. Measured on M1 Pro: 400 chunks × 384 dim → 0.35 ms / query 400 chunks × 768 dim → 0.45 ms / query 2000 chunks × 768 dim → 2.23 ms / query 10000 chunks × 768 dim → 14.00 ms / query 400 chunks × 1536 dim → 0.70 ms / query Per-chunk cost ~1.1 µs at 768 dim = ~1.4 ns/dim. NEON-class on Apple Silicon, ~50× faster than scalar — confirms SIMD acceleration is active in 0.6.0-pre.28. Per-query latency stays sub-ms at Reedy MVP corpus sizes; the ceiling is ~10K chunks per book before phone-class hardware notices. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
44 lines
1.1 KiB
JSON
44 lines
1.1 KiB
JSON
{
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"extends": "@sindresorhus/tsconfig",
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"compilerOptions": {
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"target": "ES2022",
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"lib": ["dom", "dom.iterable", "webworker", "esnext"],
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"allowJs": true,
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"skipLibCheck": true,
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"strict": true,
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"noEmit": true,
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"esModuleInterop": true,
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"module": "preserve",
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"moduleResolution": "bundler",
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"resolveJsonModule": true,
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"isolatedModules": true,
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"allowImportingTsExtensions": true,
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"jsx": "preserve",
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"incremental": true,
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"plugins": [
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{
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"name": "next"
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}
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],
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"paths": {
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"@/*": ["./src/*"],
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"@/components/ui/*": ["./src/components/primitives/*"],
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"@pdfjs/*": ["./public/vendor/pdfjs/*"],
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"@simplecc/*": ["./public/vendor/simplecc/*"],
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"js-mdict": ["../../packages/js-mdict/src/index.ts"],
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"fflate": ["./node_modules/fflate"],
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"tauri-plugin-turso": ["./src-tauri/plugins/tauri-plugin-turso/guest-js"]
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}
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},
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"include": [
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"next-env.d.ts",
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"src/**/*.ts",
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"src/**/*.tsx",
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"raw-loader.d.ts",
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".next/types/**/*.ts",
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"scripts/**/*.ts",
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"bench/**/*.ts"
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],
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"exclude": ["node_modules", "out"]
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}
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