from __future__ import annotations

import json
import sqlite3
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from zoneinfo import ZoneInfo


def utc_now() -> datetime:
    return datetime.now(timezone.utc)


def iso_now() -> str:
    return utc_now().isoformat()


def iso_now_in_zone(zone: ZoneInfo) -> str:
    return utc_now().astimezone(zone).isoformat()


def parse_iso(value: str) -> datetime:
    parsed = datetime.fromisoformat(value)
    if parsed.tzinfo is None:
        return parsed.replace(tzinfo=timezone.utc)
    return parsed


def time_since(value: str, now: datetime | None = None) -> str:
    then = parse_iso(value)
    current = now or utc_now()
    if current.tzinfo is None:
        current = current.replace(tzinfo=timezone.utc)
    seconds = max(0, int((current - then).total_seconds()))
    if seconds < 60:
        return f"{seconds} seconds ago"
    minutes = seconds // 60
    if minutes < 60:
        return _plural(minutes, "minute") + " ago"
    hours = minutes // 60
    if hours < 24:
        return _plural(hours, "hour") + " ago"
    days = hours // 24
    return _plural(days, "day") + " ago"


def _plural(value: int, unit: str) -> str:
    suffix = "" if value == 1 else "s"
    return f"{value} {unit}{suffix}"


class MemoryStore:
    def __init__(self, path: str) -> None:
        self.path = Path(path)
        self.path.parent.mkdir(parents=True, exist_ok=True)
        self._init_db()

    def _connect(self) -> sqlite3.Connection:
        connection = sqlite3.connect(self.path)
        connection.row_factory = sqlite3.Row
        return connection

    def _init_db(self) -> None:
        with self._connect() as db:
            db.executescript(
                """
                CREATE TABLE IF NOT EXISTS conversations (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    role TEXT NOT NULL,
                    content TEXT NOT NULL,
                    created_at TEXT NOT NULL
                );

                CREATE TABLE IF NOT EXISTS memories (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    kind TEXT NOT NULL,
                    content TEXT NOT NULL,
                    importance INTEGER NOT NULL DEFAULT 3,
                    metadata TEXT NOT NULL DEFAULT '{}',
                    created_at TEXT NOT NULL,
                    updated_at TEXT NOT NULL
                );

                CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(
                    content,
                    kind UNINDEXED,
                    content='memories',
                    content_rowid='id'
                );

                CREATE TRIGGER IF NOT EXISTS memories_ai AFTER INSERT ON memories BEGIN
                    INSERT INTO memories_fts(rowid, content, kind) VALUES (new.id, new.content, new.kind);
                END;

                CREATE TRIGGER IF NOT EXISTS memories_ad AFTER DELETE ON memories BEGIN
                    INSERT INTO memories_fts(memories_fts, rowid, content, kind)
                    VALUES('delete', old.id, old.content, old.kind);
                END;

                CREATE TRIGGER IF NOT EXISTS memories_au AFTER UPDATE ON memories BEGIN
                    INSERT INTO memories_fts(memories_fts, rowid, content, kind)
                    VALUES('delete', old.id, old.content, old.kind);
                    INSERT INTO memories_fts(rowid, content, kind) VALUES (new.id, new.content, new.kind);
                END;

                CREATE TABLE IF NOT EXISTS user_profile (
                    key TEXT PRIMARY KEY,
                    value TEXT NOT NULL,
                    updated_at TEXT NOT NULL
                );

                CREATE TABLE IF NOT EXISTS scheduled_jobs (
                    id TEXT PRIMARY KEY,
                    prompt TEXT NOT NULL,
                    trigger_type TEXT NOT NULL,
                    trigger_value TEXT NOT NULL,
                    next_run_at TEXT,
                    created_at TEXT NOT NULL,
                    last_run_at TEXT,
                    enabled INTEGER NOT NULL DEFAULT 1
                );

                CREATE TABLE IF NOT EXISTS outbox (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    content TEXT NOT NULL,
                    created_at TEXT NOT NULL,
                    delivered_at TEXT
                );
                """
            )

    def add_conversation(self, role: str, content: str) -> None:
        with self._connect() as db:
            db.execute(
                "INSERT INTO conversations(role, content, created_at) VALUES (?, ?, ?)",
                (role, content, iso_now()),
            )

    def last_interaction(self) -> dict[str, Any] | None:
        with self._connect() as db:
            row = db.execute(
                "SELECT role, content, created_at FROM conversations ORDER BY id DESC LIMIT 1"
            ).fetchone()
        return dict(row) if row else None

    def recent_conversation(self, limit: int = 8) -> list[dict[str, Any]]:
        with self._connect() as db:
            rows = db.execute(
                "SELECT role, content, created_at FROM conversations ORDER BY id DESC LIMIT ?",
                (limit,),
            ).fetchall()
        return [dict(row) for row in reversed(rows)]

    def remember(self, kind: str, content: str, importance: int = 3, metadata: dict[str, Any] | None = None) -> dict[str, Any]:
        now = iso_now()
        with self._connect() as db:
            cursor = db.execute(
                """
                INSERT INTO memories(kind, content, importance, metadata, created_at, updated_at)
                VALUES (?, ?, ?, ?, ?, ?)
                """,
                (kind, content, importance, json.dumps(metadata or {}), now, now),
            )
            memory_id = cursor.lastrowid
        return {"id": memory_id, "kind": kind, "content": content, "importance": importance, "created_at": now}

    def recall(self, query: str, limit: int = 6) -> list[dict[str, Any]]:
        if not query.strip():
            return self.top_memories(limit)

        with self._connect() as db:
            try:
                rows = db.execute(
                    """
                    SELECT m.id, m.kind, m.content, m.importance, m.metadata, m.created_at,
                           bm25(memories_fts) AS rank
                    FROM memories_fts
                    JOIN memories m ON m.id = memories_fts.rowid
                    WHERE memories_fts MATCH ?
                    ORDER BY rank, m.importance DESC
                    LIMIT ?
                    """,
                    (self._fts_query(query), limit),
                ).fetchall()
            except sqlite3.OperationalError:
                rows = db.execute(
                    """
                    SELECT id, kind, content, importance, metadata, created_at
                    FROM memories
                    WHERE content LIKE ?
                    ORDER BY importance DESC, id DESC
                    LIMIT ?
                    """,
                    (f"%{query}%", limit),
                ).fetchall()
        return [self._memory_row(row) for row in rows]

    def top_memories(self, limit: int = 6) -> list[dict[str, Any]]:
        with self._connect() as db:
            rows = db.execute(
                """
                SELECT id, kind, content, importance, metadata, created_at
                FROM memories
                ORDER BY importance DESC, updated_at DESC
                LIMIT ?
                """,
                (limit,),
            ).fetchall()
        return [self._memory_row(row) for row in rows]

    def inspect(self, limit: int = 50) -> dict[str, Any]:
        with self._connect() as db:
            memories = db.execute(
                """
                SELECT id, kind, content, importance, metadata, created_at, updated_at
                FROM memories
                ORDER BY importance DESC, updated_at DESC
                LIMIT ?
                """,
                (limit,),
            ).fetchall()
            conversations = db.execute(
                """
                SELECT id, role, content, created_at
                FROM conversations
                ORDER BY id DESC
                LIMIT ?
                """,
                (limit,),
            ).fetchall()
            profile_rows = db.execute(
                "SELECT key, value, updated_at FROM user_profile ORDER BY key"
            ).fetchall()
            jobs = db.execute(
                "SELECT * FROM scheduled_jobs ORDER BY enabled DESC, next_run_at"
            ).fetchall()
            outbox = db.execute(
                "SELECT id, content, created_at, delivered_at FROM outbox ORDER BY id DESC LIMIT ?",
                (limit,),
            ).fetchall()

        profile = []
        for row in profile_rows:
            item = dict(row)
            try:
                item["value"] = json.loads(item["value"])
            except json.JSONDecodeError:
                pass
            profile.append(item)

        return {
            "path": str(self.path),
            "memories": [self._memory_row(row) for row in memories],
            "conversations": [dict(row) for row in conversations],
            "profile": profile,
            "scheduled_jobs": [dict(row) for row in jobs],
            "outbox": [dict(row) for row in outbox],
        }

    def clear(
        self,
        include_memories: bool = True,
        include_conversations: bool = True,
        include_profile: bool = False,
        include_jobs: bool = False,
        include_outbox: bool = True,
    ) -> dict[str, int]:
        deleted: dict[str, int] = {}
        with self._connect() as db:
            if include_memories:
                deleted["memories"] = db.execute("DELETE FROM memories").rowcount
                db.execute("INSERT INTO memories_fts(memories_fts) VALUES('rebuild')")
            if include_conversations:
                deleted["conversations"] = db.execute("DELETE FROM conversations").rowcount
            if include_profile:
                deleted["profile"] = db.execute("DELETE FROM user_profile").rowcount
            if include_jobs:
                deleted["scheduled_jobs"] = db.execute("DELETE FROM scheduled_jobs").rowcount
            if include_outbox:
                deleted["outbox"] = db.execute("DELETE FROM outbox").rowcount
        return deleted

    def set_profile(self, key: str, value: Any) -> None:
        with self._connect() as db:
            db.execute(
                """
                INSERT INTO user_profile(key, value, updated_at) VALUES (?, ?, ?)
                ON CONFLICT(key) DO UPDATE SET value=excluded.value, updated_at=excluded.updated_at
                """,
                (key, json.dumps(value), iso_now()),
            )

    def get_profile(self) -> dict[str, Any]:
        with self._connect() as db:
            rows = db.execute("SELECT key, value FROM user_profile").fetchall()
        profile = {}
        for row in rows:
            try:
                profile[row["key"]] = json.loads(row["value"])
            except json.JSONDecodeError:
                profile[row["key"]] = row["value"]
        return profile

    def add_job(
        self,
        job_id: str,
        prompt: str,
        trigger_type: str,
        trigger_value: str,
        next_run_at: str | None = None,
    ) -> dict[str, Any]:
        with self._connect() as db:
            db.execute(
                """
                INSERT INTO scheduled_jobs(id, prompt, trigger_type, trigger_value, next_run_at, created_at, enabled)
                VALUES (?, ?, ?, ?, ?, ?, 1)
                ON CONFLICT(id) DO UPDATE SET
                    prompt=excluded.prompt,
                    trigger_type=excluded.trigger_type,
                    trigger_value=excluded.trigger_value,
                    next_run_at=excluded.next_run_at,
                    enabled=1
                """,
                (job_id, prompt, trigger_type, trigger_value, next_run_at, iso_now()),
            )
        return {
            "id": job_id,
            "prompt": prompt,
            "trigger_type": trigger_type,
            "trigger_value": trigger_value,
            "next_run_at": next_run_at,
        }

    def list_jobs(self) -> list[dict[str, Any]]:
        with self._connect() as db:
            rows = db.execute(
                "SELECT * FROM scheduled_jobs WHERE enabled = 1 ORDER BY next_run_at IS NULL, next_run_at"
            ).fetchall()
        return [dict(row) for row in rows]

    def mark_job_run(self, job_id: str, next_run_at: str | None = None) -> None:
        with self._connect() as db:
            db.execute(
                "UPDATE scheduled_jobs SET last_run_at = ?, next_run_at = ? WHERE id = ?",
                (iso_now(), next_run_at, job_id),
            )

    def add_outbox(self, content: str) -> None:
        with self._connect() as db:
            db.execute("INSERT INTO outbox(content, created_at) VALUES (?, ?)", (content, iso_now()))

    def undelivered_outbox(self) -> list[dict[str, Any]]:
        now = iso_now()
        with self._connect() as db:
            rows = db.execute(
                "SELECT id, content, created_at FROM outbox WHERE delivered_at IS NULL ORDER BY id"
            ).fetchall()
            db.execute(
                "UPDATE outbox SET delivered_at = ? WHERE delivered_at IS NULL",
                (now,),
            )
        return [dict(row) for row in rows]

    @staticmethod
    def _fts_query(query: str) -> str:
        tokens = [token.replace('"', "") for token in query.split() if token.strip()]
        return " OR ".join(f'"{token}"' for token in tokens) or '""'

    @staticmethod
    def _memory_row(row: sqlite3.Row) -> dict[str, Any]:
        data = dict(row)
        if "metadata" in data:
            try:
                data["metadata"] = json.loads(data["metadata"])
            except json.JSONDecodeError:
                data["metadata"] = {}
        return data