Cargo.toml

Rama main · réplica de lectura del repositorio original.

[package]
name = "xianscan-rust"
version = "0.5.0-beta.8"
edition = "2021"
description = "Local-first translation studio for manga, manhwa, and manhua."
homepage = "https://xianscan.arbenger.com"
repository = "https://github.com/ArbenApura/xianscan-rust"
license = "MIT"
readme = "README.md"

[[bin]]
name = "xianscan"
path = "src/main.rs"

[features]
default = []
directml = ["ort/directml"]
cuda = ["ort/cuda"]
coreml = ["ort/coreml"]
embed-models = []
embed-web = []


[dependencies]
# Async Web & HTTP Server
tokio = { version = "1.43", features = ["full"] }
axum = { version = "0.8", features = ["multipart", "ws"] }
tower = "0.5"
tower-http = { version = "0.6", features = ["cors", "trace", "fs", "compression-full", "catch-panic"] }

# Serialization & JSON
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
regex = "1.11"
sha2 = "0.10"
hex = "0.4"
# ACCESS TOKEN AND ML SECRET (ALREADY IN Cargo.lock VIA OTHER CRATES)
getrandom = "0.2"

# Computer Vision, Geometry & Math
image = { version = "0.25", default-features = false, features = ["png", "jpeg", "webp", "bmp", "tiff"] }
imageproc = "0.25"
ndarray = { version = "0.16", features = ["std"] }
geo = "0.29"
zip = { version = "2.2", default-features = false, features = ["deflate"] }
rayon = "1.10"

# ONNX Runtime ML Engine
ort = { version = "2.0.0-rc.9", default-features = false, features = ["download-binaries", "copy-dylibs", "tls-rustls"] }
num_cpus = "1.16"
mimalloc = { version = "0.1", default-features = false }

# SQLite Database
rusqlite = { version = "0.32", features = ["bundled"] }
r2d2 = "0.8"
r2d2_sqlite = "0.25"

# Embedded Assets
rust-embed = "8.5"
include_dir = "0.7"


# Logging & Error Handling
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter"] }
anyhow = "1.0"
thiserror = "2.0"

# Terminal output styling
colored = "2"

# Windows DXGI Adapter Enumeration + ANSI/VT console enablement
[target.'cfg(windows)'.dependencies]
windows = { version = "0.58", features = ["Win32_Graphics_Dxgi", "Win32_System_Console", "Win32_System_JobObjects", "Win32_System_Threading", "Win32_Foundation", "Win32_Security"] }

[build-dependencies]
# MODEL HASH CHECK FOR embed-models BUILDS (FEAT-008 PHASE 3); BOTH ALREADY IN Cargo.lock
sha2 = "0.10"
hex = "0.4"

[target.'cfg(windows)'.build-dependencies]
winres = "0.1"

# PR_SET_PDEATHSIG FOR THE NODE CHILD (ALREADY IN Cargo.lock AS A TRANSITIVE DEPENDENCY)
[target.'cfg(target_os = "linux")'.dependencies]
libc = "0.2"

[target.'cfg(target_os = "macos")'.dependencies]
metal = "0.29"

# HTTP Client for DeepSeek / AI APIs
reqwest = { version = "0.12", features = ["json", "stream"] }

[dev-dependencies]
tempfile = "3.17"
ab_glyph = "0.2"

# DEV BUILD SPEED OPTIMIZATIONS:
# 1. Keeps external heavy crates (ort, image, ndarray, axum) at opt-level 3 so ML runs at full release speed.
# 2. Leaves your code in src/ at opt-level 0 for sub-second re-compilations.
# 3. Reduces debug symbols from 2 to 1 (line tables only), cutting linking times by over 60%.
[profile.dev]
debug = 1

[profile.dev.package."*"]
opt-level = 3

# PRODUCTION RELEASE PROFILE:
# - opt-level 3: Maximum SIMD & compiler optimizations
# - lto = "thin": Link-Time Optimization across crates for maximum inlining and throughput
# - codegen-units = 1: Global code optimization
# - strip = true: Strips all debug info, reducing binary size by ~50%
# - panic = "abort": Removes unwinding tables for smaller binary and faster execution
[profile.release]
opt-level = 3
lto = "thin"
codegen-units = 1
strip = true
panic = "abort"