[package]
name = "qmai"
version = "3.2.7"
description = "QMAI - AI writing system for long-form novels"
authors = ["Mochocyang"]
edition = "2021"
default-run = "qmai"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

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

[build-dependencies]
tauri-build = { version = "2", features = [] }

[dependencies]
tauri = { version = "2", features = ["protocol-asset"] }
tauri-plugin-opener = "2"
serde = { version = "1", features = ["derive"] }
serde_json = "1"
chrono = { version = "0.4", features = ["clock"] }
tauri-plugin-dialog = "2.7.2"
tauri-plugin-updater = "2"
tauri-plugin-store = "2.4.4"
tauri-plugin-http = { version = "2", features = ["unsafe-headers"] }
zip = "2"
calamine = "0.34.0"
docx-rs = "0.4.22"
cfb = "0.7.3"
encoding_rs = "0.8.35"
# Local vector store only. lancedb 0.27.2 already has empty default features;
# keep them off so aws/gcs/azure/remote/openai never sneak in. DataFusion is a
# hard dependency of this crate and cannot be feature-gated away.
lancedb = { version = "0.27.2", default-features = false }
# tokio provided by tauri runtime for async commands
arrow-array = "57"
arrow-schema = "57"
futures = "0.3"
# Claude Code CLI subprocess transport: spawn `claude` as a child process,
# stream stdout line-by-line back to the frontend. tokio::process gives us
# async io and clean cancellation; `which` locates the binary on PATH.
tokio = { version = "1", features = ["process", "io-util", "sync", "macros", "rt"] }
which = "7"
uuid = { version = "1", features = ["v4"] }
toml = "0.8"
# Multimodal image extraction (Office docs):
#   `image` decodes embedded PPTX/DOCX raster bytes so we can apply
#   the size filter before writing them to disk.
#   `base64` serializes binary image data for Tauri IPC, which is
#   JSON-only — Vec<u8> roundtrips ~1.33× larger than raw bytes but
#   that's acceptable for our ~MB-scale per-image payloads.
#   `sha2` is for the dedup cache (Phase 3) — same image hash =
#   same caption, no redundant VLM calls. Pulled in here so the
#   extraction layer can also expose the hash if a caller wants it.
image = { version = "0.25", default-features = false, features = ["png"] }
base64 = "0.22"
sha2 = "0.10"
md-5 = "0.10"
notify = "8"
walkdir = "2"
tauri-plugin-single-instance = "2"
keepawake = "0.6"

[target.'cfg(target_os = "macos")'.dependencies]
objc2 = "0.6.4"
objc2-foundation = { version = "0.3.2", default-features = false, features = ["std", "NSString", "NSProcessInfo"] }

[dev-dependencies]
tokio = { version = "1", features = ["macros", "rt", "rt-multi-thread"] }

[profile.release]
codegen-units = 1
lto = true
opt-level = "z"
# Unwind (not abort) so third-party parser panics can be caught at the
# Tauri command boundary via panic_guard and turned into errors. Slightly
# larger binary, but prevents single-file corruption from killing the app.
panic = "unwind"
strip = true