// unconscious.rs — Graph maintenance agents
//
// Standalone agents that operate on the memory graph without needing
// conversation context. Unlike subconscious agents (which fork the
// conscious agent to share KV cache), unconscious agents create fresh
// Agent instances and select their own target nodes via queries
// defined in their .agent files.
//
// Scheduling is driven by the consolidation plan (neuro/scoring.rs),
// which analyzes graph health metrics and allocates agent runs.

use std::time::{Duration, Instant};

use crate::agent::oneshot::{AutoAgent, AutoStep};
use crate::agent::tools;
use crate::subconscious::defs;

/// A single unconscious agent type and its runtime state.
struct UnconsciousAgent {
    name: String,
    /// How many runs are budgeted (from consolidation plan).
    budget: usize,
    /// How many runs completed this session.
    completed: usize,
    /// Currently running task.
    handle: Option<tokio::task::JoinHandle<(AutoAgent, Result<String, String>)>>,
    last_run: Option<Instant>,
}

impl UnconsciousAgent {
    fn is_running(&self) -> bool {
        self.handle.as_ref().is_some_and(|h| !h.is_finished())
    }

    fn should_run(&self) -> bool {
        if self.is_running() { return false; }
        if self.completed >= self.budget { return false; }
        // Min interval between runs of the same agent type
        if let Some(last) = self.last_run {
            if last.elapsed() < Duration::from_secs(60) { return false; }
        }
        true
    }
}

/// Snapshot for the TUI.
#[derive(Clone)]
pub struct UnconsciousSnapshot {
    pub name: String,
    pub running: bool,
    pub completed: usize,
    pub budget: usize,
    pub last_run_secs_ago: Option<f64>,
}

/// Orchestrates standalone graph maintenance agents.
pub struct Unconscious {
    agents: Vec<UnconsciousAgent>,
    /// Max concurrent agent runs.
    max_concurrent: usize,
    /// When we last refreshed the consolidation plan.
    last_plan_refresh: Option<Instant>,
}

impl Unconscious {
    pub fn new() -> Self {
        Self {
            agents: Vec::new(),
            max_concurrent: 2,
            last_plan_refresh: None,
        }
    }

    /// Refresh the consolidation plan and update agent budgets.
    fn refresh_plan(&mut self) {
        let store = match crate::store::Store::load() {
            Ok(s) => s,
            Err(_) => return,
        };
        let plan = crate::neuro::consolidation_plan_quick(&store);

        // Update existing agents or create new ones
        for (agent_name, &count) in &plan.counts {
            if count == 0 { continue; }
            // Only include agents that have .agent definitions
            if defs::get_def(agent_name).is_none() { continue; }

            if let Some(existing) = self.agents.iter_mut().find(|a| a.name == *agent_name) {
                existing.budget = count;
            } else {
                self.agents.push(UnconsciousAgent {
                    name: agent_name.clone(),
                    budget: count,
                    completed: 0,
                    handle: None,
                    last_run: None,
                });
            }
        }

        self.last_plan_refresh = Some(Instant::now());
        dbglog!("[unconscious] plan refreshed: {} agent types, {} total runs",
            self.agents.len(),
            self.agents.iter().map(|a| a.budget).sum::<usize>());
    }

    pub fn snapshots(&self) -> Vec<UnconsciousSnapshot> {
        self.agents.iter().map(|a| UnconsciousSnapshot {
            name: a.name.clone(),
            running: a.is_running(),
            completed: a.completed,
            budget: a.budget,
            last_run_secs_ago: a.last_run.map(|t| t.elapsed().as_secs_f64()),
        }).collect()
    }

    /// Trigger agents that are due to run.
    pub fn trigger(&mut self) {
        // Reap finished agents
        for agent in &mut self.agents {
            if agent.handle.as_ref().is_some_and(|h| h.is_finished()) {
                agent.last_run = Some(Instant::now());
                agent.completed += 1;
                dbglog!("[unconscious] {} completed ({}/{})",
                    agent.name, agent.completed, agent.budget);
                agent.handle = None;
            }
        }

        // Refresh plan every 30 minutes (or on first call)
        let should_refresh = self.last_plan_refresh
            .map(|t| t.elapsed() > Duration::from_secs(1800))
            .unwrap_or(true);
        if should_refresh {
            self.refresh_plan();
        }

        // Count currently running
        let running = self.agents.iter().filter(|a| a.is_running()).count();
        if running >= self.max_concurrent { return; }
        let slots = self.max_concurrent - running;

        // Find agents that should run, sorted by most work remaining
        let mut candidates: Vec<usize> = self.agents.iter().enumerate()
            .filter(|(_, a)| a.should_run())
            .map(|(i, _)| i)
            .collect();
        candidates.sort_by_key(|&i| std::cmp::Reverse(
            self.agents[i].budget - self.agents[i].completed
        ));

        for idx in candidates.into_iter().take(slots) {
            self.spawn_agent(idx);
        }
    }

    fn spawn_agent(&mut self, idx: usize) {
        let name = self.agents[idx].name.clone();
        dbglog!("[unconscious] spawning {} ({}/{})",
            name, self.agents[idx].completed + 1, self.agents[idx].budget);

        let def = match defs::get_def(&name) {
            Some(d) => d,
            None => return,
        };

        // Build tools
        let all_tools = tools::memory_and_journal_tools();
        let effective_tools: Vec<tools::Tool> = if def.tools.is_empty() {
            all_tools
        } else {
            all_tools.into_iter()
                .filter(|t| def.tools.iter().any(|w| w == t.name))
                .collect()
        };

        // Run query, resolve placeholders, record visits
        let mut store = match crate::store::Store::load() {
            Ok(s) => s,
            Err(e) => {
                dbglog!("[unconscious] store load failed: {}", e);
                return;
            }
        };

        let exclude: std::collections::HashSet<String> = std::collections::HashSet::new();
        let batch = match defs::run_agent(
            &store, &def, def.count.unwrap_or(5), &exclude,
        ) {
            Ok(b) => b,
            Err(e) => {
                dbglog!("[unconscious] {} query failed: {}", name, e);
                return;
            }
        };

        if !batch.node_keys.is_empty() {
            store.record_agent_visits(&batch.node_keys, &name).ok();
        }

        let steps: Vec<AutoStep> = batch.steps.iter().map(|s| AutoStep {
            prompt: s.prompt.clone(),
            phase: s.phase.clone(),
        }).collect();

        let mut auto = AutoAgent::new(
            name.clone(),
            effective_tools,
            steps,
            def.temperature.unwrap_or(0.6),
            def.priority,
        );

        self.agents[idx].handle = Some(tokio::spawn(async move {
            let result = auto.run(None).await;
            (auto, result)
        }));
    }
}