refactor: migrate monolithic crate to Cargo Workspace with Clean Architecture

Transform the single binary crate into a 9-crate workspace monorepo:

- Root Cargo.toml as [workspace] manager with resolver = "2"
- zesdex-entities: Domain entity types (session, settings, store, message, etc.)
- zesdex-utils: Pure utility functions (error, logger, pagination, slug, clipboard)
- zesdex-dto: Data Transfer Objects for LLM provider API communication
- zesdex-ipc: Unix-socket IPC layer (client/server/framing/protocol)
- zesdex-iam: Identity & Access Management (Clean Architecture: domain/application/infrastructure)
- zesdex-cms: Content Management (Clean Architecture: domain/application/infrastructure)
- zesdex-middleware: HTTP middleware (Auth, CORS, Rate Limiting)
- zesdex-libs: Composition root (AppContext, DB init, JWT, Argon2)
- zesdex-backend: Main binary entry point + seed/migrate binaries
- DevOps: Dockerfile, docker-compose, Nix (flake/shell/default), CI/CD updates
- Remove dead root src/ and src-misc/ directories

All crate re-exports maintain backward compatibility with original
crate::model::*, crate::dto::*, crate::ipc::* module paths.
Feature crates enforce strict layer separation: domain -> application
-> infrastructure with generic trait-based dependency injection.
This commit is contained in:
asepharyana
2026-07-17 09:08:41 +07:00
parent 86cc412395
commit be0a9582bb
248 changed files with 7901 additions and 1505 deletions
@@ -0,0 +1,167 @@
//! Per-session runtime state: message history, pending tool queue,
//! background bash jobs, lesson/review counters, and the `TurnEvent`
//! stream emitted while an agent turn is in flight.
use serde::{Deserialize, Serialize};
use std::path::PathBuf;
/// Cumulative token/latency counters for a session, persisted alongside it.
#[derive(Debug, Clone, Copy, Serialize, Deserialize, Default)]
pub struct UsageStats {
pub tokens_in: u64,
pub tokens_out: u64,
#[serde(default)]
pub last_tokens_in: u64,
#[serde(default)]
pub last_tokens_out: u64,
pub api_calls: u64,
pub review_tokens: u64,
pub total_ms: u64,
}
/// Mutable, serializable state for one session: chat history, tool
/// results, pending tools, background jobs, and lesson/review counters
/// shown in the TUI status bar.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SessionRuntime {
pub messages: Vec<crate::dto::chat::message::ChatMessage>,
pub tool_call_results: Vec<ToolCallResult>,
pub pending_tool_queue: Vec<PendingTool>,
pub bash_jobs: Vec<BashJobRef>,
pub subagent_queue: usize,
pub edit_count: u32,
pub consecutive_empty_reviews: u32,
pub session_start: i64,
pub lesson_count: u32,
pub lessons_user: u32,
pub lessons_feedback: u32,
pub lessons_project: u32,
pub lessons_reference: u32,
pub lessons_active: u32,
pub lessons_stale: u32,
pub lessons_contradicted: u32,
pub lessons_human: u32,
pub lessons_verified: u32,
pub lessons_unverified: u32,
pub review_count: u32,
pub session_dir: PathBuf,
pub usage: UsageStats,
/// Whether a hive-mind convergence has completed at least once in this
/// session. Set by the main-thread event loop when it receives a
/// `TurnEvent::SystemNote { kind: "hive_mind_converged", .. }` — the
/// only reliable way to detect this across turns, since system messages
/// pushed mid-turn inside `run_agent_turn` are NOT persisted into
/// `rt.messages` (they stay local to that turn's background thread and
/// are only archived to `SQLite`).
pub hive_mind_converged: bool,
}
/// Record of one completed tool invocation, kept for transcript/history.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolCallResult {
pub tool_call_id: String,
pub tool_name: String,
pub output: String,
pub is_error: bool,
pub duration_ms: u64,
}
/// A tool call awaiting execution, along with which execution model
/// (inline, deferred, async) it should run under.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PendingTool {
pub tool_name: String,
pub args: serde_json::Value,
pub execution_model: crate::app::state::types::ExecutionModel,
}
/// Reference to a background bash job tracked in session state (the actual
/// process handle lives elsewhere; this is just the display/status record).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BashJobRef {
pub id: String,
pub command: String,
pub started_at: i64,
pub running: bool,
}
/// Events emitted onto the turn-event queue while an agent turn runs,
/// consumed by the event loop to update state and drive re-renders.
#[derive(Debug, Clone)]
pub enum TurnEvent {
AssistantMessage(crate::dto::chat::message::ChatMessage),
ToolResult {
tool_call_id: String,
tool_name: String,
output: String,
is_error: bool,
path: Option<String>,
},
SystemNote {
kind: String,
message: String,
},
StreamStart,
StreamToken(String),
StreamDone(crate::dto::chat::message::ChatMessage),
Usage {
tokens_in: u64,
tokens_out: u64,
},
/// Token usage from a subagent (review, test-gen, arch-review, etc.)
/// routed to `UsageStats::review_tokens` so the Usage panel can split
/// "main" tokens from "self-learning" tokens. Same shape as `Usage` but
/// kept as a distinct variant so future subagent-specific metadata
/// (origin tag, subagent name) can be attached without breaking the
/// main-agent path.
ReviewUsage {
tokens_in: u64,
tokens_out: u64,
},
Compacted(Vec<crate::dto::chat::message::ChatMessage>),
Error(String),
Done,
/// Real-time update from a workflow subagent: push the new status
/// into `AppStateRest::workflow_engine.agents`.
WorkflowAgentUpdate {
agent_id: String,
agent_name: String,
status: crate::app::workflow::engine::AgentStatus,
},
}
impl SessionRuntime {
/// Create fresh runtime state for a session rooted at `session_dir`,
/// with all counters zeroed and `session_start` set to now.
pub fn new(session_dir: PathBuf) -> Self {
SessionRuntime {
messages: Vec::new(),
tool_call_results: Vec::new(),
pending_tool_queue: Vec::new(),
bash_jobs: Vec::new(),
subagent_queue: 0,
edit_count: 0,
consecutive_empty_reviews: 0,
session_start: chrono::Utc::now().timestamp_millis(),
lesson_count: 0,
lessons_user: 0,
lessons_feedback: 0,
lessons_project: 0,
lessons_reference: 0,
lessons_active: 0,
lessons_stale: 0,
lessons_contradicted: 0,
lessons_human: 0,
lessons_verified: 0,
lessons_unverified: 0,
review_count: 0,
session_dir,
usage: UsageStats::default(),
hive_mind_converged: false,
}
}
/// Append a message to the session's conversation history.
pub fn push_message(&mut self, msg: crate::dto::chat::message::ChatMessage) {
self.messages.push(msg);
}
}