[package]
name = "devflow"
version = "0.1.0"
description = "DevFlow Desktop App"
authors = [""]
edition = "2021"

[lib]
name = "devflow_lib"
crate-type = ["staticlib", "cdylib", "rlib"]

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

[dependencies]
tauri = { version = "2", features = [] }
tauri-plugin-dialog = "2"
tauri-plugin-opener = "2"
tauri-plugin-window-state = "2"
serde.workspace = true
serde_json.workspace = true
tokio.workspace = true
anyhow.workspace = true
tracing.workspace = true
tracing-subscriber = { version = "0.3", features = ["env-filter"] }
tracing-appender = "0.2"
chrono.workspace = true
# augmentation::MentionResolver async trait(Input Augmentation 层核心设计2)
async-trait = { workspace = true }

# 后端 crate
df-types = { path = "../crates/df-types" }
df-storage = { path = "../crates/df-storage" }
df-workflow = { path = "../crates/df-workflow" }
df-nodes = { path = "../crates/df-nodes" }
df-execute = { path = "../crates/df-execute" }
df-ai = { path = "../crates/df-ai" }
df-ideas = { path = "../crates/df-ideas" }
df-project = { path = "../crates/df-project" }
df-mcp = { path = "../crates/df-mcp" }
# Phase3 跨端隧道:桌面端主动出站连 df-relay(/ws/device),透传 ai_event_bus → miniapp
# + 转发 miniapp 下行指令 → remote_bridge 路由 Tauri command。穿 NAT 无需端口映射。
df-tunnel = { path = "../crates/df-tunnel" }
futures = "0.3"
# Phase3 tunnel device_id:首次启动生成 UUID v4 落 settings KV 持久化(relay 按 device_id 路由配对)
uuid = { workspace = true }
# write_file base64 编码:写二进制/非 UTF-8 文件(图片/PDF/Excel 等)
base64 = "0.22"
# validate_path URL 解码:防 %2e%2e 等 URL 编码绕过路径遍历检查(BUG-260617-03)
percent-encoding = "2"
# grep AI 工具:跨文件内容搜索(grep -rn 模式),pattern 支持正则。
# workspace regex 已存在(df-ideas 用),此处引用 workspace 版本避免双后端。
regex = { workspace = true }
# keyring:密钥解析下沉到 df-storage(workspace 统一声明平台 feature),
# src-tauri 经 workspace 引用(转发壳 build_provider_for 不直接碰 keyring,但旧路径/兼容保留)。
# 根因见 docs/09-问题排查/aichat-apikey-401排查-2026-06-15.md
keyring = { workspace = true }
# http_request AI 工具:结构化 HTTP(GET/POST/...)。
# 复用 df-ai 同款 reqwest 0.12(同版本锁定,避免双 TLS 后端)。默认 native-tls(与 df-ai 一致),
# 启用 json(响应解析)/gzip/brotli(透明解压,常见 API 必备)。重定向手动接管(见 http.rs SSRF)。
reqwest = { version = "0.12", features = ["json", "gzip", "brotli"] }
# AST 代码智能(read_symbol 三态,信息密度驱动,见 docs/02-架构设计/专项设计/AST符号解析-设计-2026-06-24.md):
# 治 aichat read_file 全文回灌 prompt 爆(e46f5605 360K/8dfe0b94 5M)。tree-sitter 语法层精准提取
# 符号骨架/下钻/全文,替代物理读全文件。静态编译 + 集中 grammar_for(ext) lookup(不动态加载/不抽 trait,YAGNI)。
# Phase1 范围:Rust(.rs)/TypeScript(.ts/.tsx)/JavaScript(.js/.jsx)/Vue(.vue 借 TS 切 script 段),3 grammar 覆盖 4 类。
# 兼容:tree-sitter 0.25 主 crate 与 grammar crate 配对(各 grammar 声明 tree-sitter 依赖,0.25 系广泛兼容)。
tree-sitter = "0.25"
tree-sitter-rust = "0.24.2"
tree-sitter-typescript = "0.23.2"
tree-sitter-javascript = "0.25.0"
# Phase1 扩展:Go / Java / Python(静态编译,表驱动加表项,零架构改动)
tree-sitter-go = "0.23"
tree-sitter-java = "0.23"
tree-sitter-python = "0.23"

# 阶段3a/3b 统一审批模型开关(path_auth 审批链扎实重构 plan 阶段3)。
# 3a 后端合并(单 HashMap + kind 字段)为编译期结构性变更,本 flag 用于文档标记 +
# 后续 3b 前端切换开关;3a 本身是单编译路径(合并是原子操作,回退走 git revert)。
#
# 阶段4 容错/恢复开关(path_auth 审批链扎实重构 plan 阶段4):
# retry_count 同 tc_id 重试断路(防 LLM 死循环重试同卡死工具)+ 跨盘预检提示 +
# rename_file/delete_file 跨卷统一降级 helper + ai_pending_tool_calls 返 kind。
# 兜底:flag 关 → retry_count 恒 0(等价单次审批执行),其余 helper 行为不变(纯增强)。
[features]
df-ai-unified-approval = []
df-ai-approval-retry = []