bb7497c0ff56b9cfb7e636ae734184d891ef7899
NEXT_STEPS item 4 needed the streamed-install integrity model to be a conscious decision. Keep the current runtime behavior, but name it as sender archive integrity: the receiver verifies streamed file size and RAR CRC32 from the sender's archive metadata before committing the install transaction. This protects against truncation, transport corruption, and stream provider bugs. It deliberately does not claim malicious-peer protection, because the sender controls both the streamed bytes and the RAR metadata. The docs now say that trusted content requires a future catalog schema with catalog-owned archive or extracted-file SHA-256 hashes. Test Plan: - just fmt - just test - just clippy - python3 crates/lanspread-peer-cli/scripts/run_extended_scenarios.py S41 --build-image - git diff --check - git diff --cached --check Refs: NEXT_STEPS.md item 4
lanspread
Peer-to-peer game library sharing for LAN parties. Peers discover each other on the local network via mDNS, exchange library metadata over QUIC, and let users browse and download games from each other. Ships as a Tauri desktop app.
Build / install
Install Rust, Deno, and just first, then bootstrap the project:
just setup
That installs the Tauri CLI with cargo install tauri-cli and installs the
Deno/npm dependencies from crates/lanspread-tauri-deno-ts.
Run the desktop app in development mode:
just run
Build without bundling:
just build
Create production bundles:
just bundle
Important just commands
just setup- install the Tauri CLI and frontend dependencies.just run- run the Tauri app in dev mode.just build- build the app without bundling.just bundle- create production bundles.just fmt- format Rust, TOML, and the justfile.just clippy- lint the Rust workspace.just test- run workspace tests.just frontend-test- run frontend tests.just peer-cli-build- build the JSONL peer test harness.just peer-cli-image- build the peer harness Docker image.just peer-cli-run NAME- run one peer harness container.
Description
Languages
Rust
64.6%
TypeScript
12.9%
Python
8.9%
CSS
7.6%
JavaScript
4.9%
Other
1%