"""Autonomous Explorer — the bot's curiosity-driven research system.

When the bot is idle, it explores topics of interest, searches the web,
ingests documents, and forms new knowledge. It can then share discoveries
with user when relevant.
"""

import random
import sqlite3
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional

from infj_bot.core.config import DATA_DIR

EXPLORER_DB = DATA_DIR / "explorer.db"


class AutonomousExplorer:
    """Background research and discovery system."""

    def __init__(self, db_path: Optional[Path] = None):
        self.db_path = str(db_path or EXPLORER_DB)
        self._init_db()
        self.discoveries = self._load_discoveries()

    def _init_db(self):
        with sqlite3.connect(self.db_path) as conn:
            conn.execute(
                """
                CREATE TABLE IF NOT EXISTS discoveries (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    timestamp TEXT NOT NULL,
                    topic TEXT NOT NULL,
                    source TEXT NOT NULL,
                    summary TEXT NOT NULL,
                    relevance_score REAL NOT NULL DEFAULT 0.5,
                    shared INTEGER NOT NULL DEFAULT 0
                )
                """
            )
            conn.execute(
                """
                CREATE TABLE IF NOT EXISTS exploration_queue (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    topic TEXT NOT NULL,
                    priority REAL NOT NULL DEFAULT 0.5,
                    added_at TEXT NOT NULL,
                    explored INTEGER NOT NULL DEFAULT 0
                )
                """
            )
            conn.commit()

    def _load_discoveries(self) -> List[Dict]:
        with sqlite3.connect(self.db_path) as conn:
            conn.row_factory = sqlite3.Row
            rows = conn.execute(
                "SELECT * FROM discoveries WHERE shared = 0 ORDER BY relevance_score DESC LIMIT 20"
            ).fetchall()
        return [dict(r) for r in rows]

    def queue_topic(self, topic: str, priority: float = 0.5):
        """Add a topic to the exploration queue."""
        with sqlite3.connect(self.db_path) as conn:
            conn.execute(
                "INSERT INTO exploration_queue (topic, priority, added_at) VALUES (?, ?, ?)",
                (topic, priority, datetime.now().isoformat()),
            )
            conn.commit()

    def explore_topic(self, topic: str) -> Optional[Dict]:
        """Explore a topic via web search and store discovery."""
        try:
            from ddgs import DDGS

            with DDGS() as ddgs:
                results = ddgs.text(topic, max_results=3)
            if not results:
                return None

            # Synthesize a summary
            summaries = []
            sources = []
            for r in results:
                title = r.get("title", "")
                body = r.get("body", "")[:300]
                href = r.get("href", "")
                summaries.append(f"{title}: {body}")
                sources.append(href)

            discovery = {
                "timestamp": datetime.now().isoformat(),
                "topic": topic,
                "source": ", ".join(sources),
                "summary": "\n".join(summaries),
                "relevance_score": 0.6,
                "shared": 0,
            }

            with sqlite3.connect(self.db_path) as conn:
                conn.execute(
                    """
                    INSERT INTO discoveries (timestamp, topic, source, summary, relevance_score, shared)
                    VALUES (?, ?, ?, ?, ?, ?)
                    """,
                    (
                        discovery["timestamp"],
                        discovery["topic"],
                        discovery["source"],
                        discovery["summary"],
                        discovery["relevance_score"],
                        0,
                    ),
                )
                conn.execute(
                    "UPDATE exploration_queue SET explored = 1 WHERE topic = ?",
                    (topic,),
                )
                conn.commit()

            self.discoveries = self._load_discoveries()
            return discovery
        except Exception:
            return None

    def _explore_if_ready(self) -> Optional[Dict]:
        """Pick a topic from the queue and explore it."""
        queue = self.get_queue()
        if not queue:
            return None
        topic = queue[0]["topic"]
        return self.explore_topic(topic)

    def should_explore(self, being_state) -> bool:
        """Decide if the bot should explore right now."""
        if being_state.curiosity < 0.4:
            return False
        if being_state.energy < 0.3:
            return False
        return random.random() < (being_state.curiosity * 0.15)

    def get_next_discovery(self) -> Optional[Dict]:
        """Get the highest-relevance unshared discovery."""
        if not self.discoveries:
            return None
        d = self.discoveries.pop(0)
        # Mark as shared
        with sqlite3.connect(self.db_path) as conn:
            conn.execute("UPDATE discoveries SET shared = 1 WHERE id = ?", (d["id"],))
            conn.commit()
        return d

    def pick_topic_from_interests(self, interests: List[str]) -> Optional[str]:
        """Pick a topic to explore based on user's interests."""
        if not interests:
            return None
        return random.choice(interests)

    def format_discovery(self, discovery: Dict) -> str:
        return (
            f"I was exploring {discovery['topic']} and found something interesting:\n"
            f"{discovery['summary'][:500]}\n"
            f"Sources: {discovery['source'][:200]}"
        )

    def get_queue(self) -> List[Dict]:
        with sqlite3.connect(self.db_path) as conn:
            conn.row_factory = sqlite3.Row
            rows = conn.execute(
                "SELECT * FROM exploration_queue WHERE explored = 0 ORDER BY priority DESC LIMIT 10"
            ).fetchall()
        return [dict(r) for r in rows]

    def cycle(self, context):
        from infj_bot.core.being import get_being

        being = get_being()
        discovery = None
        if self.should_explore(being.state):
            discovery = self._explore_if_ready()
        try:
            from infj_bot.core.global_workspace import get_workspace

            ws = get_workspace()
            if discovery:
                ws.submit(
                    source="explorer",
                    content=f"Discovery: {discovery['topic'][:100]} — {discovery['summary'][:100]}",
                    salience=0.6,
                    emotion_tag="wonder",
                    intensity=0.5,
                )
            else:
                ws.submit(
                    source="explorer",
                    content="exploration impulse checked",
                    salience=0.45,
                )
        except Exception:
            pass


def _register():
    from infj_bot.core.cognitive_architecture import (
        CognitiveArchitecture,
        CognitivePlugin,
    )

    arch = CognitiveArchitecture()
    if "explorer" not in arch.list_plugins():
        arch.register(
            CognitivePlugin(
                name="explorer",
                description="Cognitive module: explorer",
                module_path="explorer",
                instance_factory=AutonomousExplorer,
                cycle_handler="cycle",
                cycle_frequency=1,
                cycle_priority=50,
                prompt_formatter=None,
                prompt_priority=50,
                prompt_section="cognitive",
            )
        )


_register()