clawft-core 0.5.1

//! Application bootstrap and dependency wiring.
//!
//! Provides [`AppContext`], a convenience struct that initializes all
//! core components from a [`Config`] and a [`Platform`], then produces
//! an [`AgentLoop`] ready to run.
//!
//! # Usage
//!
//! ```rust,ignore
//! use clawft_core::bootstrap::AppContext;
//! use clawft_platform::NativePlatform;
//! use clawft_types::config::Config;
//!
//! let config = Config::default();
//! let platform = Arc::new(NativePlatform::new());
//! let ctx = AppContext::new(config, platform).await?;
//! let agent_loop = ctx.into_agent_loop();
//! agent_loop.run().await?;
//! ```

use std::sync::Arc;

use tracing::{debug, info};

use clawft_platform::Platform;
use clawft_types::config::Config;

use crate::agent::context::ContextBuilder;
use crate::agent::loop_core::{AgentLoop, AutoDelegation};
use crate::agent::memory::MemoryStore;
use crate::agent::skills::SkillsLoader;
use crate::bus::MessageBus;
use crate::pipeline::assembler::TokenBudgetAssembler;
use crate::pipeline::classifier::KeywordClassifier;
use crate::pipeline::cost_tracker::CostTracker;
use crate::pipeline::rate_limiter::RateLimiter;
use crate::pipeline::router::StaticRouter;
use crate::pipeline::tiered_router::TieredRouter;
use crate::pipeline::traits::{ModelRouter, Pipeline, PipelineRegistry};
use crate::pipeline::transport::OpenAiCompatTransport;
use crate::session::SessionManager;
use crate::tools::registry::ToolRegistry;

/// Fully initialized application context.
///
/// Holds all dependencies needed to run the agent loop. Created via
/// [`AppContext::new`] and consumed via [`AppContext::into_agent_loop`].
///
/// The generic parameter `P` is the platform implementation (e.g.
/// [`NativePlatform`](clawft_platform::NativePlatform) for native,
/// a WASM platform for browser environments).
pub struct AppContext<P: Platform> {
    /// Root configuration.
    config: Config,

    /// Platform abstraction.
    platform: Arc<P>,

    /// Message bus for inbound/outbound message routing.
    bus: Arc<MessageBus>,

    /// Session manager for conversation persistence.
    sessions: Arc<SessionManager<P>>,

    /// Tool registry with registered tools.
    tools: Arc<ToolRegistry>,

    /// Pipeline registry with all 6 stages wired.
    pipeline: PipelineRegistry,

    /// Context builder for assembling LLM prompts.
    context: ContextBuilder<P>,

    /// Shared memory store reference (for external access).
    memory: Arc<MemoryStore<P>>,

    /// Shared skills loader reference (for external access).
    skills: Arc<SkillsLoader<P>>,

    /// Optional auto-delegation router for pre-LLM routing.
    auto_delegation: Option<Arc<dyn AutoDelegation>>,
}

impl<P: Platform> AppContext<P> {
    /// Initialize all components from configuration and platform.
    ///
    /// This is the primary constructor. It:
    /// 1. Creates the [`MessageBus`]
    /// 2. Initializes the [`SessionManager`] (discovers/creates sessions dir)
    /// 3. Initializes the [`MemoryStore`] (discovers memory dir)
    /// 4. Initializes the [`SkillsLoader`] (discovers skills dir)
    /// 5. Creates the [`ContextBuilder`]
    /// 6. Creates an empty [`ToolRegistry`] (caller registers tools after)
    /// 7. Wires the default Level 0 pipeline (keyword classifier, static
    ///    router, token budget assembler, stub transport, noop scorer,
    ///    noop learner)
    ///
    /// # Errors
    ///
    /// Returns [`ClawftError`] if the home directory cannot be determined
    /// or the sessions directory cannot be created.
    pub async fn new(config: Config, platform: Arc<P>) -> clawft_types::Result<Self> {
        info!("bootstrapping application context");

        // 1. Message bus
        let bus = Arc::new(MessageBus::new());
        debug!("message bus created");

        // 2. Session manager
        let sessions = SessionManager::new(platform.clone()).await?;
        debug!("session manager initialized");

        // 3. Memory store
        let memory = Arc::new(MemoryStore::new(platform.clone())?);
        debug!(
            memory_path = %memory.memory_path().display(),
            "memory store initialized"
        );

        // 4. Skills loader
        let mut skills_loader = SkillsLoader::new(platform.clone())?;

        // Also scan extra `skills/` directories if they exist:
        // - workspace/skills/  (from config workspace path)
        // - ./skills/          (current working directory)
        for candidate in [
            config.workspace_path().join("skills"),
            std::env::current_dir().unwrap_or_default().join("skills"),
        ] {
            if candidate.is_dir() {
                skills_loader.add_extra_dir(candidate);
            }
        }

        let skills = Arc::new(skills_loader);
        debug!(
            skills_dir = %skills.skills_dir().display(),
            "skills loader initialized"
        );

        // 5. Context builder
        let context = ContextBuilder::new(
            config.agents.clone(),
            memory.clone(),
            skills.clone(),
            platform.clone(),
        );
        debug!("context builder created");

        // 6. Tool registry (empty -- caller adds tools)
        let tools = Arc::new(ToolRegistry::new());

        // 7. Default Level 0 pipeline
        let pipeline = build_default_pipeline(&config);
        debug!("default pipeline wired");

        info!("bootstrap complete");

        Ok(Self {
            config,
            platform,
            bus,
            sessions: Arc::new(sessions),
            tools,
            pipeline,
            context,
            memory,
            skills,
            auto_delegation: None,
        })
    }

    /// Consume the context and produce a running [`AgentLoop`].
    ///
    /// All dependencies are moved into the agent loop. After this call,
    /// the `AppContext` is consumed and cannot be reused.
    pub fn into_agent_loop(self) -> AgentLoop<P> {
        let resolver = crate::pipeline::permissions::PermissionResolver::new(
            &self.config.routing,
            None, // workspace config not yet supported
        );
        let mut agent = AgentLoop::new(
            self.config.agents,
            self.platform,
            self.bus,
            self.pipeline,
            self.tools.clone(),
            self.context,
            self.sessions.clone(),
            resolver,
        );
        if let Some(delegation) = self.auto_delegation {
            agent = agent.with_auto_delegation(delegation);
        }
        agent
    }

    /// Get a reference to the root configuration.
    pub fn config(&self) -> &Config {
        &self.config
    }

    /// Get a reference to the platform.
    pub fn platform(&self) -> &Arc<P> {
        &self.platform
    }

    /// Get a reference to the message bus.
    ///
    /// Channel adapters should clone the inbound sender from here
    /// before the context is consumed by [`into_agent_loop`].
    pub fn bus(&self) -> &Arc<MessageBus> {
        &self.bus
    }

    /// Get a mutable reference to the tool registry.
    ///
    /// Call this to register tools before converting to an agent loop.
    ///
    /// # Panics
    ///
    /// Panics if Arc clones have already been taken (e.g. via `tools_arc()`).
    /// Always call `tools_mut()` for registration *before* sharing the registry.
    pub fn tools_mut(&mut self) -> &mut ToolRegistry {
        Arc::get_mut(&mut self.tools).expect("tools already shared -- register tools before cloning Arc")
    }

    /// Get a reference to the tool registry.
    pub fn tools(&self) -> &Arc<ToolRegistry> {
        &self.tools
    }

    /// Get a clone of the `Arc<ToolRegistry>` for sharing with other components.
    pub fn tools_arc(&self) -> Arc<ToolRegistry> {
        self.tools.clone()
    }

    /// Get a reference to the session manager.
    pub fn sessions(&self) -> &Arc<SessionManager<P>> {
        &self.sessions
    }

    /// Get a reference to the shared memory store.
    pub fn memory(&self) -> &Arc<MemoryStore<P>> {
        &self.memory
    }

    /// Get a reference to the shared skills loader.
    pub fn skills(&self) -> &Arc<SkillsLoader<P>> {
        &self.skills
    }

    /// Set an auto-delegation router for pre-LLM routing.
    ///
    /// When set, inbound messages are checked against delegation rules
    /// before the local LLM is invoked. Matching messages are routed
    /// directly to `delegate_task`.
    pub fn set_auto_delegation(&mut self, delegation: Arc<dyn AutoDelegation>) {
        self.auto_delegation = Some(delegation);
    }

    /// Replace the pipeline registry with a custom one.
    ///
    /// Use this to inject a transport backed by a real LLM provider
    /// or to register specialized pipelines for specific task types.
    pub fn set_pipeline(&mut self, pipeline: PipelineRegistry) {
        self.pipeline = pipeline;
    }

    /// Replace the pipeline with a live LLM-backed pipeline.
    ///
    /// Convenience method that calls [`build_live_pipeline`] and sets it
    /// as the active pipeline, enabling real LLM calls through the
    /// `clawft-llm` provider resolved from configuration.
    ///
    /// Only available with the `native` feature.
    #[cfg(feature = "native")]
    pub fn enable_live_llm(&mut self) {
        let pipeline = build_live_pipeline(&self.config);
        self.set_pipeline(pipeline);
    }
}

/// Build a live pipeline with a real LLM provider from configuration.
///
/// Uses [`ClawftLlmAdapter`](crate::pipeline::llm_adapter::ClawftLlmAdapter)
/// to bridge `clawft-llm` providers into the pipeline's transport layer,
/// enabling real LLM calls.
///
/// This is the production counterpart of [`build_default_pipeline`], which
/// uses a stub transport. All other pipeline stages are identical.
///
/// Only available with the `native` feature (requires clawft-llm HTTP providers).
#[cfg(feature = "native")]
pub fn build_live_pipeline(config: &Config) -> PipelineRegistry {
    crate::pipeline::llm_adapter::build_live_pipeline(config)
}

/// Build the default pipeline from configuration.
///
/// Uses the appropriate router based on `config.routing.mode`:
/// - `"tiered"` -> [`TieredRouter`] with cost tracking and rate limiting
/// - `"static"` (default) -> [`StaticRouter`] from config defaults
///
/// Other stages: [`KeywordClassifier`], [`TokenBudgetAssembler`],
/// [`OpenAiCompatTransport`] (stub), [`NoopScorer`], [`NoopLearner`].
fn build_default_pipeline(config: &Config) -> PipelineRegistry {
    let classifier = Arc::new(KeywordClassifier::new());
    let router: Arc<dyn ModelRouter> = build_router_from_config(config);
    let assembler = Arc::new(TokenBudgetAssembler::new(
        config.agents.defaults.max_tokens.max(1) as usize,
    ));
    let transport = Arc::new(OpenAiCompatTransport::new());
    let scorer = crate::pipeline::build_scorer(&config.pipeline);
    let learner = crate::pipeline::build_learner(&config.pipeline);

    let pipeline = Pipeline {
        classifier,
        router,
        assembler,
        transport,
        scorer,
        learner,
    };

    PipelineRegistry::new(pipeline)
}

/// Build the appropriate router based on `config.routing.mode`.
fn build_router_from_config(config: &Config) -> Arc<dyn ModelRouter> {
    if config.routing.mode == "tiered" {
        let routing = config.routing.clone();
        let cost_tracker = Arc::new(
            CostTracker::new(routing.cost_budgets.reset_hour_utc),
        );
        let rate_limiter = Arc::new(
            RateLimiter::new(routing.rate_limiting.window_seconds, routing.rate_limiting.global_rate_limit_rpm),
        );
        Arc::new(
            TieredRouter::new(routing)
                .with_cost_tracker(cost_tracker)
                .with_rate_limiter(rate_limiter),
        )
    } else {
        Arc::new(StaticRouter::from_config(&config.agents))
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use clawft_platform::NativePlatform;
    use clawft_types::config::{AgentDefaults, AgentsConfig};
    use std::sync::Arc;

    fn test_config() -> Config {
        Config {
            agents: AgentsConfig {
                defaults: AgentDefaults {
                    workspace: "~/.clawft/workspace".into(),
                    model: "deepseek/deepseek-chat".into(),
                    max_tokens: 4096,
                    temperature: 0.7,
                    max_tool_iterations: 10,
                    memory_window: 50,
                },
            },
            ..Config::default()
        }
    }

    #[tokio::test]
    async fn new_creates_app_context() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await;
        assert!(ctx.is_ok());
    }

    #[tokio::test]
    async fn config_accessor() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        assert_eq!(
            ctx.config().agents.defaults.model,
            "deepseek/deepseek-chat"
        );
        assert_eq!(ctx.config().agents.defaults.max_tokens, 4096);
    }

    #[tokio::test]
    async fn platform_accessor() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        let _p = ctx.platform();
    }

    #[tokio::test]
    async fn bus_accessor() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        let bus = ctx.bus();
        // Should be able to get an inbound sender
        let _tx = bus.inbound_sender();
    }

    #[tokio::test]
    async fn tools_starts_empty() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        assert!(ctx.tools().is_empty());
    }

    #[tokio::test]
    async fn tools_mut_allows_registration() {
        let platform = Arc::new(NativePlatform::new());
        let mut ctx = AppContext::new(test_config(), platform).await.unwrap();

        use crate::tools::registry::Tool;
        use async_trait::async_trait;

        struct DummyTool;

        #[async_trait]
        impl Tool for DummyTool {
            fn name(&self) -> &str {
                "dummy"
            }
            fn description(&self) -> &str {
                "A dummy tool"
            }
            fn parameters(&self) -> serde_json::Value {
                serde_json::json!({"type": "object", "properties": {}})
            }
            async fn execute(
                &self,
                _args: serde_json::Value,
            ) -> Result<serde_json::Value, crate::tools::registry::ToolError> {
                Ok(serde_json::json!({}))
            }
        }

        ctx.tools_mut().register(Arc::new(DummyTool));
        assert_eq!(ctx.tools().len(), 1);
        assert_eq!(ctx.tools().list(), vec!["dummy"]);
    }

    #[tokio::test]
    async fn memory_accessor() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        let memory = ctx.memory();
        assert!(memory.memory_path().is_absolute());
    }

    #[tokio::test]
    async fn skills_accessor() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        let skills = ctx.skills();
        assert!(skills.skills_dir().is_absolute());
    }

    #[tokio::test]
    async fn into_agent_loop_produces_valid_loop() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();
        let agent = ctx.into_agent_loop();
        assert_eq!(agent.config().defaults.model, "deepseek/deepseek-chat");
        assert_eq!(agent.config().defaults.max_tokens, 4096);
    }

    #[tokio::test]
    async fn set_pipeline_replaces_default() {
        let platform = Arc::new(NativePlatform::new());
        let mut ctx = AppContext::new(test_config(), platform).await.unwrap();

        // Build a custom pipeline with a different router
        let custom_pipeline = build_default_pipeline(&test_config());
        ctx.set_pipeline(custom_pipeline);

        // Should still produce a valid agent loop
        let agent = ctx.into_agent_loop();
        assert_eq!(agent.config().defaults.model, "deepseek/deepseek-chat");
    }

    #[tokio::test]
    async fn default_config_bootstrap() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(Config::default(), platform).await;
        assert!(ctx.is_ok());
    }

    #[test]
    fn build_default_pipeline_creates_registry() {
        let config = test_config();
        let _registry = build_default_pipeline(&config);
        // Should not panic.
    }

    #[test]
    fn build_default_pipeline_with_defaults() {
        let config = Config::default();
        let _registry = build_default_pipeline(&config);
    }

    #[tokio::test]
    async fn bus_clone_survives_into_agent_loop() {
        let platform = Arc::new(NativePlatform::new());
        let ctx = AppContext::new(test_config(), platform).await.unwrap();

        // Clone the bus sender before consuming the context
        let tx = ctx.bus().inbound_sender();
        let _agent = ctx.into_agent_loop();

        // The sender should still be usable
        use chrono::Utc;
        use clawft_types::event::InboundMessage;
        use std::collections::HashMap;

        let msg = InboundMessage {
            channel: "test".into(),
            sender_id: "user1".into(),
            chat_id: "chat1".into(),
            content: "hello".into(),
            timestamp: Utc::now(),
            media: vec![],
            metadata: HashMap::new(),
        };
        assert!(tx.send(msg).await.is_ok());
    }

    #[tokio::test]
    async fn app_context_is_send() {
        fn assert_send<T: Send>() {}
        assert_send::<AppContext<NativePlatform>>();
    }

    // ── Integration: build_live_pipeline transport is configured ─────

    #[tokio::test]
    async fn build_live_pipeline_transport_is_configured() {
        use crate::pipeline::traits::{LlmMessage, TaskType, TransportRequest};

        // The live pipeline should have a configured (non-stub) transport.
        // When we call complete() on the stub transport, it returns an error
        // containing "transport not configured". The live pipeline should
        // NOT produce that error -- it should attempt a real HTTP call
        // (which will fail differently without an API key).
        let config = test_config();
        let registry = build_live_pipeline(&config);

        // Access the default pipeline's transport via get() with an unregistered type.
        let pipeline = registry.get(&TaskType::Unknown);

        let transport_req = TransportRequest {
            provider: "anthropic".into(),
            model: "claude-opus-4-5".into(),
            messages: vec![LlmMessage {
                role: "user".into(),
                content: "test".into(),
                tool_call_id: None,
                tool_calls: None,
            }],
            tools: vec![],
            max_tokens: Some(10),
            temperature: Some(0.0),
        };

        let result = pipeline.transport.complete(&transport_req).await;

        // The live transport IS configured (has a provider), so it should
        // NOT fail with "transport not configured". It will fail with an
        // HTTP/auth error instead because there's no real API key.
        match result {
            Ok(_) => {} // unlikely without API key, but acceptable
            Err(e) => {
                let msg = e.to_string();
                assert!(
                    !msg.contains("transport not configured"),
                    "live pipeline should not use stub transport, but got: {msg}"
                );
            }
        }
    }

    // ── Integration: enable_live_llm replaces the pipeline ──────────

    #[tokio::test]
    async fn app_context_enable_live_llm() {
        let platform = Arc::new(NativePlatform::new());
        let mut ctx = AppContext::new(test_config(), platform).await.unwrap();

        // Before enable_live_llm, the default pipeline uses a stub transport.
        // We cannot directly access ctx.pipeline, but we can verify behavior
        // indirectly: enable_live_llm should not panic and should replace
        // the pipeline such that transport errors no longer say "not configured".

        ctx.enable_live_llm();

        // Convert to agent loop and verify it's still valid.
        let agent = ctx.into_agent_loop();
        assert_eq!(agent.config().defaults.model, "deepseek/deepseek-chat");
    }

    // ── Integration: default pipeline uses stub (negative test) ─────

    #[tokio::test]
    async fn default_pipeline_transport_is_stub() {
        // Verify the default pipeline's transport IS the stub, confirming
        // that enable_live_llm / build_live_pipeline changes something.
        use crate::pipeline::traits::{LlmMessage, TaskType, TransportRequest};

        let config = test_config();
        let registry = build_default_pipeline(&config);
        let pipeline = registry.get(&TaskType::Unknown);

        let transport_req = TransportRequest {
            provider: "test".into(),
            model: "test".into(),
            messages: vec![LlmMessage {
                role: "user".into(),
                content: "hello".into(),
                tool_call_id: None,
                tool_calls: None,
            }],
            tools: vec![],
            max_tokens: None,
            temperature: None,
        };

        let result = pipeline.transport.complete(&transport_req).await;
        assert!(result.is_err());
        let err_msg = result.unwrap_err().to_string();
        assert!(
            err_msg.contains("transport not configured"),
            "default pipeline should use stub transport, got: {err_msg}"
        );
    }

    // ── Integration: build_live_pipeline creates a valid registry ────

    #[test]
    fn build_live_pipeline_creates_registry() {
        let config = test_config();
        let registry = build_live_pipeline(&config);
        // Registry should be usable for any task type (falls back to default).
        use crate::pipeline::traits::TaskType;
        let _pipeline = registry.get(&TaskType::Chat);
        let _pipeline = registry.get(&TaskType::CodeGeneration);
        let _pipeline = registry.get(&TaskType::Unknown);
    }
}