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02302e7a1d
Extraction ~22% faster on the corpus benchmark with byte-identical output: - hoist recompiled CSS selectors in the markdown noise path - single-pass shared og() meta parsing across vertical extractors - output-safe QuickJS gating (skip the JS VM when no candidate data) + reuse the already-parsed document instead of re-parsing - wreq connect_timeout + connection-pool tuning; dedup the retry loop Reliability + correctness: - char-boundary-safe truncation of LLM error bodies (shared helper) - HTTP connect/read timeouts on all LLM provider clients - isolate pdf-extract behind catch_unwind + spawn_blocking - OSS server: crawl inherits the shared fetch profile; ProviderChain built once in AppState; request TimeoutLayer API / safety / docs: - #[non_exhaustive] on public enums + result structs (+ builders) - #![forbid(unsafe_code)] on pure crates, deny on llm - //! crate docs + doctests; scrub bypass/vendor/target specifics from public crate docs and comments Tooling: [profile.release] lto/codegen-units/strip, MSRV pin, deny.toml + cargo-deny CI, macOS test matrix. CLI main.rs split into focused modules. |
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|---|---|---|
| .. | ||
| llm | ||
| brand.rs | ||
| data_island.rs | ||
| diff.rs | ||
| domain.rs | ||
| endpoints.rs | ||
| error.rs | ||
| extractor.rs | ||
| js_eval.rs | ||
| lib.rs | ||
| markdown.rs | ||
| metadata.rs | ||
| noise.rs | ||
| reddit.rs | ||
| structured_data.rs | ||
| types.rs | ||
| youtube.rs | ||