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Schema-agnostic foundation for @brashkie/waproto.","maintainers":[{"name":"brashkie","email":"fabianoarjunken@gmail.com"}],"readme":"\n\n# @brashkie/signalis-codec\n\n**A safe, Rust-powered protobuf wire codec.**\n\n[](https://github.com/Brashkie/signalis-codec/actions/workflows/ci.yml)\n[](https://www.npmjs.com/package/@brashkie/signalis-codec)\n[](./LICENSE)\n[](https://www.typescriptlang.org/)\n[](https://www.rust-lang.org/)\n\n
\n\n---\n\nA **Level-1 protobuf wire codec**: it reads and writes Protocol Buffers' four\nwire types (varint, fixed64, length-delimited, fixed32) with a Rust core that is\nstrictly bounds-checked and **depth-limited by design**. It is schema-agnostic —\nyou work with field numbers and wire types, not named messages.\n\nThis is the serialization foundation for [`@brashkie/waproto`](https://github.com/Brashkie/waproto)\n(WhatsApp's protobuf schema), but it's a useful standalone protobuf primitive for\nany binary protocol.\n\n## Why another protobuf library?\n\nMost JS protobuf libraries are pure JavaScript and were not written with hostile\ninput as a first-class concern. WhatsApp's schema is deeply recursive, and a\ncrafted payload nesting tens of thousands of levels can exhaust the stack — a\nreal, disclosed class of denial-of-service (the \"Proto6\" bugs).\n\n`signalis-codec` addresses this at the core:\n\n- **Rust engine** — native speed for varint-heavy parsing, memory-safe by\n construction (`#![forbid(unsafe_code)]`).\n- **Depth limiting** — recursive decoding is bounded by an explicit `maxDepth`;\n exceeding it throws instead of overflowing the stack.\n- **Strict bounds-checking** — every read validates the buffer first, so\n truncated or malicious input yields a clean error with a byte position.\n- **No panics on bad input** — malformed payloads always surface as catchable\n errors.\n\n## Install\n\n```bash\nnpm install @brashkie/signalis-codec\n```\n\nPrebuilt native binaries ship for common platforms; no toolchain needed to use it.\n\n### Supported platforms\n\nPrebuilt binaries are bundled for:\n\n| OS | Architecture |\n|----|--------------|\n| Linux | x64 (glibc) |\n| macOS | x64 (Intel) · arm64 (Apple Silicon) |\n| Windows | x64 |\n\nOn any other platform, install fails to find a binary. If you need one that\nisn't listed, open an issue — adding a target is a one-line change to the build\nmatrix. (To build from source you need a Rust toolchain and Node 18+.)\n\n## Quick start\n\n```ts\nimport { encodeFields, decodeFields, WireType } from '@brashkie/signalis-codec';\n\n// Encode a few typed fields\nconst buf = encodeFields([\n { fieldNumber: 1, wireType: WireType.Varint, varint: 150n },\n { fieldNumber: 2, wireType: WireType.Bytes, bytes: Buffer.from('hello') },\n]);\n// buf → \n\n// Decode back\nconst fields = decodeFields(buf);\n// [\n// { fieldNumber: 1, wireType: 0, varint: 150n },\n// { fieldNumber: 2, wireType: 2, bytes: },\n// ]\n```\n\n64-bit values (varint, fixed64) are returned as `BigInt` so all 64 bits survive\nthe trip through JavaScript.\n\n## Recursive decoding with a depth limit\n\nFor nested messages, `decodeTree` descends into submessages while enforcing a\nmaximum depth — the anti-DoS guarantee:\n\n```ts\nimport { decodeTree } from '@brashkie/signalis-codec';\n\nconst tree = decodeTree(buf, 100); // maxDepth = 100 (default)\n// tree nodes have kind: 'varint' | 'fixed64' | 'fixed32' | 'bytes' | 'message'\n\n// A malicious 10,000-deep payload throws instead of crashing:\ndecodeTree(evilBuf, 100); // → Error: nesting depth exceeded limit of 100\n```\n\n## Logical-type helpers\n\nThe wire codec is schema-agnostic: a varint is just a varint. The *logical* type\n(int32 vs sint32 vs bool vs enum…) lives in the schema, so decoding returns raw\nvalues and a set of helpers interprets them. The `as*` (read) and `from*` (write)\nhelpers are perfectly symmetric, and every `from*` is range-checked — passing an\nout-of-range value throws `RangeError` rather than silently truncating.\n\n```ts\nimport {\n encodeFields, decodeFields, WireType,\n asUint32, asString, fromUint32, fromString,\n} from '@brashkie/signalis-codec';\n\n// Given a schema like: message Device { uint32 id = 1; string name = 2; }\n\n// Encode\nconst buf = encodeFields([\n { fieldNumber: 1, wireType: WireType.Varint, varint: fromUint32(150) },\n { fieldNumber: 2, wireType: WireType.Bytes, bytes: fromString('phone') },\n]);\n\n// Decode\nconst f = decodeFields(buf);\nconst device = {\n id: asUint32(f[0].varint),\n name: asString(f[1].bytes),\n};\n// → { id: 150, name: 'phone' }\n```\n\nAvailable helpers, grouped by the wire type they read from / write to:\n\n| Wire type | Read (`as*`) | Write (`from*`) |\n|-----------|--------------|-----------------|\n| Varint | `asInt32` `asInt64` `asUint32` `asUint64` `asSint32` `asSint64` `asBool` `asEnum` | mirror `from*` |\n| Fixed32 | `asFloat` `asFixed32` `asSfixed32` | mirror `from*` |\n| Fixed64 | `asDouble` `asFixed64` `asSfixed64` | mirror `from*` |\n| Bytes | `asString` `asBytes` | mirror `from*` |\n\nNegative `int32` (encoded as a full-width varint), ZigZag `sint*`, and IEEE-754\n`float`/`double` are all handled correctly and verified against the reference\nprotobuf implementation.\n\n## Packed repeated fields\n\nA `repeated` field marked `[packed=true]` is encoded as a single\nlength-delimited field whose payload is the concatenated element values (no\nper-element tags). The physical packing runs in the Rust engine; a typed helper\nper protobuf type layers the logical conversion on top.\n\n```ts\nimport {\n encodeFields, decodeFields, WireType,\n encodePackedSint32, decodePackedSint32,\n} from '@brashkie/signalis-codec';\n\n// message Path { repeated sint32 deltas = 4 [packed=true]; }\n\n// Encode: build the packed payload, then wrap it in a length-delimited field.\nconst payload = encodePackedSint32([-10, 20, -30]);\nconst buf = encodeFields([{ fieldNumber: 4, wireType: WireType.Bytes, bytes: payload }]);\n\n// Decode: read the field, then unpack its bytes.\nconst field = decodeFields(buf)[0];\nconst deltas = decodePackedSint32(field.bytes!); // [-10, 20, -30]\n```\n\nThere's an `encodePacked*` / `decodePacked*` pair for every packable type:\n`int32`, `int64`, `uint32`, `uint64`, `sint32`, `sint64`, `bool`, `enum`,\n`float`, `double`, `fixed32`, `sfixed32`, `fixed64`, `sfixed64`. For raw packing\nwithout type interpretation, the low-level `packVarints` / `unpackVarints`,\n`packFixed32` / `unpackFixed32`, and `packFixed64` / `unpackFixed64` are exported\ntoo.\n\n## Lazy decoding for large / sparse messages\n\n`lazyIndex` scans a buffer **once** into an offset table (crossing the native\nboundary a single time, as one typed array — no per-field object allocation) and\nlets you read only the fields you need, on demand, in O(1):\n\n```ts\nimport { lazyIndex } from '@brashkie/signalis-codec';\n\nconst msg = lazyIndex(buf); // one pass, nothing decoded yet\nif (msg.getUint32(2) !== 3) return; // route by a single field, payload untouched\nconst jid = msg.getString(1); // decode one field, no extra boundary crossing\nconst media = msg.getMessage(7); // index a submessage in place\n```\n\n`LazyMessage` offers `has`, `fieldCount`, `fieldNumbers`, and typed getters\n(`getVarint`, `getUint32`, `getBool`, `getString`, `getBytes`, `getFixed32`,\n`getFixed64`, `getMessage`). `getBytes` returns a **view** over the buffer — copy\nit if you keep it beyond the buffer's lifetime.\n\n**When it helps (measured, honest):** the lazy path is an *adaptive* strategy,\nnot a universal speedup.\n\n| Message | Winner |\n|---|---|\n| Small (1–4 fields, ~88 B — typical chat/signalling) | eager decode / protobuf.js is faster |\n| Large & sparse (>1 KB, read a few of many fields) | **lazy: 1.3×–2.7× faster, zero GC churn** |\n\nUse `lazyIndex` for large payloads (history sync, media metadata, heavy\ndocuments) and routing/filtering; use eager `decodeFields` for small messages.\nBoth keep 100% protobuf wire-format compatibility.\n\n\n**Repeated fields (v0.5.0):** `getAllStrings`, `getAllBytes`, `getAllVarints`, `getAllUint32`, `getAllMessages`, and `count` return every occurrence of a field (protobuf `repeated`). Single-value getters still return the first.\n## API\n\n| Export | Description |\n|--------|-------------|\n| `encodeFields(fields)` | Encode a list of typed fields to a `Buffer` |\n| `decodeFields(buf)` | Decode a flat list of fields (no recursion) |\n| `decodeTree(buf, maxDepth?)` | Recursively decode into a bounded tree |\n| `zigzagEncode` / `zigzagDecode` | ZigZag transform for `sint32` / `sint64` |\n| `fieldKey(n, wireType)` | Compute a field key (tag) |\n| `WireType` | Enum: `Varint`, `Fixed64`, `Bytes`, `Fixed32` |\n| `DEFAULT_MAX_DEPTH` | `100` |\n\nWire types map to protobuf as: `Varint` → int/uint/sint/bool/enum;\n`Fixed64` → double/fixed64/sfixed64; `Fixed32` → float/fixed32/sfixed32;\n`Bytes` → string/bytes/embedded messages/packed repeated.\n\n## What this is (and isn't)\n\n- ✅ A **wire codec** — the byte-level layer of protobuf.\n- ❌ Not a **schema compiler** — it doesn't read `.proto` files or generate typed\n message classes. That's a higher layer (e.g. `@brashkie/waproto` maps field\n numbers to WhatsApp's schema on top of this codec).\n\nKeeping the codec schema-agnostic makes it small, auditable, and reusable for any\nprotobuf-based protocol.\n\n## Architecture\n\n```\ncrates/codec-core Pure Rust wire codec (no dependencies, no unsafe)\ncrates/codec-node NAPI-RS bindings → the native addon\nsrc/ TypeScript wrapper with the typed public API\n```\n\nThe Rust core is exercised by its own `cargo test` suite; the TypeScript layer by\nVitest against the real native addon.\n\n## Benchmarks\n\nTwo benchmark suites live in the repo (both dev-only, not shipped):\n\n```\nnpm run bench:rust # Criterion micro-benchmarks of the Rust core\nnpm run bench # head-to-head vs protobuf.js (run after `npm run build`)\n```\n\nThe `bench` script encodes and decodes the same messages with both\n`signalis-codec` and `protobuf.js`, first asserting they produce **byte-identical**\noutput, then reporting ops/sec. The native engine's advantage is largest on\nvarint-heavy and larger payloads (the parsing this codec is built for); for very\nsmall messages the NAPI boundary crossing means a tuned pure-JS decoder can be\ncompetitive. Run them on your own hardware — numbers vary by CPU.\n\n## Security\n\nSee [SECURITY.md](./SECURITY.md). In short: terminate on decode errors, and pick\na `maxDepth` appropriate to your protocol (WhatsApp messages nest only a handful\nof levels; the default of 100 is generous).\n\n## Ecosystem\n\n| Package | Role |\n|---------|------|\n| [`@brashkie/signalis-core`](https://github.com/Brashkie/signalis-core) | Cryptographic primitives (Rust) |\n| [`@brashkie/signalis`](https://github.com/Brashkie/signalis) | The Signal Protocol |\n| [`@brashkie/signalis-noise`](https://github.com/Brashkie/signalis-noise) | The Noise Protocol Framework |\n| **`@brashkie/signalis-codec`** | **This package — protobuf wire codec** |\n\n## License\n\nApache-2.0 © Brashkie (Hepein Oficial)\n","readmeFilename":"README.md"}