import os
import sqlite3
import json
from typing import Any, Dict, List, Optional

from .config import DB_PATH


def _conn() -> sqlite3.Connection:
    os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
    conn = sqlite3.connect(DB_PATH)
    conn.row_factory = sqlite3.Row
    conn.execute("PRAGMA journal_mode=WAL")
    return conn


def init_db() -> None:
    with _conn() as conn:
        # 키워드/상품 분석 결과
        conn.execute("""
            CREATE TABLE IF NOT EXISTS keyword_analyses (
                id              INTEGER PRIMARY KEY AUTOINCREMENT,
                keyword         TEXT NOT NULL,
                blog_total      INTEGER NOT NULL DEFAULT 0,
                shop_total      INTEGER NOT NULL DEFAULT 0,
                competition     REAL NOT NULL DEFAULT 0,
                opportunity     REAL NOT NULL DEFAULT 0,
                avg_price       INTEGER,
                min_price       INTEGER,
                max_price       INTEGER,
                top_products    TEXT NOT NULL DEFAULT '[]',
                top_blogs       TEXT NOT NULL DEFAULT '[]',
                ai_summary      TEXT NOT NULL DEFAULT '',
                created_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
            )
        """)
        conn.execute("CREATE INDEX IF NOT EXISTS idx_ka_created ON keyword_analyses(created_at DESC)")
        conn.execute("CREATE INDEX IF NOT EXISTS idx_ka_keyword ON keyword_analyses(keyword)")

        # 블로그 포스트
        conn.execute("""
            CREATE TABLE IF NOT EXISTS blog_posts (
                id              INTEGER PRIMARY KEY AUTOINCREMENT,
                keyword_id      INTEGER REFERENCES keyword_analyses(id),
                title           TEXT NOT NULL DEFAULT '',
                body            TEXT NOT NULL DEFAULT '',
                excerpt         TEXT NOT NULL DEFAULT '',
                tags            TEXT NOT NULL DEFAULT '[]',
                status          TEXT NOT NULL DEFAULT 'draft',
                review_score    INTEGER,
                review_detail   TEXT NOT NULL DEFAULT '{}',
                naver_url       TEXT NOT NULL DEFAULT '',
                trend_brief     TEXT NOT NULL DEFAULT '',
                created_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now')),
                updated_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
            )
        """)
        conn.execute("CREATE INDEX IF NOT EXISTS idx_bp_created ON blog_posts(created_at DESC)")
        conn.execute("CREATE INDEX IF NOT EXISTS idx_bp_status ON blog_posts(status)")

        # 수익(커미션) 추적
        conn.execute("""
            CREATE TABLE IF NOT EXISTS commissions (
                id              INTEGER PRIMARY KEY AUTOINCREMENT,
                post_id         INTEGER REFERENCES blog_posts(id),
                month           TEXT NOT NULL,
                clicks          INTEGER NOT NULL DEFAULT 0,
                purchases       INTEGER NOT NULL DEFAULT 0,
                revenue         INTEGER NOT NULL DEFAULT 0,
                note            TEXT NOT NULL DEFAULT '',
                created_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
            )
        """)
        conn.execute("CREATE INDEX IF NOT EXISTS idx_comm_month ON commissions(month)")
        conn.execute("CREATE INDEX IF NOT EXISTS idx_comm_post ON commissions(post_id)")

        # 비동기 작업 상태 (research / generate / review)
        conn.execute("""
            CREATE TABLE IF NOT EXISTS generation_tasks (
                id              TEXT PRIMARY KEY,
                type            TEXT NOT NULL DEFAULT 'research',
                status          TEXT NOT NULL DEFAULT 'queued',
                progress        INTEGER NOT NULL DEFAULT 0,
                message         TEXT NOT NULL DEFAULT '',
                result_id       INTEGER,
                error           TEXT,
                params          TEXT NOT NULL DEFAULT '{}',
                created_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now')),
                updated_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
            )
        """)
        conn.execute("CREATE INDEX IF NOT EXISTS idx_gt_created ON generation_tasks(created_at DESC)")

        # AI 프롬프트 템플릿
        conn.execute("""
            CREATE TABLE IF NOT EXISTS prompt_templates (
                id              INTEGER PRIMARY KEY AUTOINCREMENT,
                name            TEXT NOT NULL UNIQUE,
                description     TEXT NOT NULL DEFAULT '',
                template        TEXT NOT NULL DEFAULT '',
                updated_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
            )
        """)

        # 기본 프롬프트 템플릿 시딩 (존재하지 않을 때만)
        _seed_templates(conn)


def _seed_templates(conn: sqlite3.Connection) -> None:
    """기본 프롬프트 템플릿을 DB에 시딩."""
    templates = [
        {
            "name": "trend_brief",
            "description": "네이버 블로그 트렌드 분석 + 제목/훅 전략 브리프",
            "template": (
                "당신은 네이버 블로그 마케팅 전문가입니다.\n"
                "아래 키워드 분석 데이터를 바탕으로 블로그 포스팅 전략 브리프를 작성하세요.\n\n"
                "키워드: {keyword}\n"
                "블로그 경쟁도: {competition} (0-100, 높을수록 경쟁 치열)\n"
                "쇼핑 기회 점수: {opportunity} (0-100, 높을수록 기회 큼)\n"
                "상위 블로그 제목들: {top_blogs}\n"
                "상위 상품들: {top_products}\n\n"
                "다음을 포함해주세요:\n"
                "1. 클릭을 유도하는 제목 공식 3가지\n"
                "2. 도입부 훅 전략 (공감형, 질문형, 충격형 중 추천)\n"
                "3. 추천 해시태그 5-10개\n"
                "4. 경쟁 분석 요약 (기존 글 대비 차별화 포인트)\n"
                "5. SEO 키워드 배치 전략"
            ),
        },
        {
            "name": "blog_write",
            "description": "공감형 1인칭 체험기 블로그 글 작성",
            "template": (
                "당신은 네이버 블로그에서 월 100만 이상 수익을 올리는 전문 블로거입니다.\n"
                "아래 브리프를 바탕으로 블로그 글을 작성하세요.\n\n"
                "키워드: {keyword}\n"
                "트렌드 브리프: {trend_brief}\n"
                "상위 상품 정보: {top_products}\n\n"
                "작성 규칙:\n"
                "- 1인칭 체험기 형식 (\"제가 직접 써봤는데요\")\n"
                "- 1,500자 이상\n"
                "- 자연스러운 구어체 (네이버 블로그 톤)\n"
                "- 제품 비교표 포함 (마크다운 테이블)\n"
                "- 장단점 솔직하게 작성\n"
                "- 광고 고지 문구 포함: \"이 포스팅은 쿠팡 파트너스 활동의 일환으로, 이에 따른 일정액의 수수료를 제공받습니다.\"\n"
                "- 추천 매트릭스 (가성비/품질/디자인 기준)\n"
                "- 자연스러운 CTA (구매 링크 유도)\n\n"
                "HTML 형식으로 작성하되, 네이버 블로그에서 바로 붙여넣기 가능한 형태로 만들어주세요."
            ),
        },
        {
            "name": "quality_review",
            "description": "블로그 글 품질 리뷰 (5기준 × 10점)",
            "template": (
                "당신은 블로그 콘텐츠 품질 평가 전문가입니다.\n"
                "아래 블로그 글을 5가지 기준으로 평가해주세요.\n\n"
                "제목: {title}\n"
                "본문: {body}\n\n"
                "평가 기준 (각 1-10점):\n"
                "1. 독자 공감도: 1인칭 체험기가 자연스럽고 공감되는가?\n"
                "2. 제목 클릭 유도력: 검색 결과에서 클릭하고 싶은 제목인가?\n"
                "3. 구매 전환력: 읽고 나서 제품을 사고 싶어지는가?\n"
                "4. SEO 최적화: 키워드 배치, 소제목, 길이가 적절한가?\n"
                "5. 형식 완성도: 비교표, 이미지 설명, 단락 구성이 잘 되어있는가?\n\n"
                "JSON 형식으로 응답:\n"
                "{{\n"
                "  \"scores\": {{\n"
                "    \"empathy\": N,\n"
                "    \"click_appeal\": N,\n"
                "    \"conversion\": N,\n"
                "    \"seo\": N,\n"
                "    \"format\": N\n"
                "  }},\n"
                "  \"total\": N,\n"
                "  \"pass\": true/false,\n"
                "  \"feedback\": \"개선 사항 설명\"\n"
                "}}"
            ),
        },
    ]
    for t in templates:
        existing = conn.execute(
            "SELECT id FROM prompt_templates WHERE name = ?", (t["name"],)
        ).fetchone()
        if not existing:
            conn.execute(
                "INSERT INTO prompt_templates (name, description, template) VALUES (?, ?, ?)",
                (t["name"], t["description"], t["template"]),
            )


# ── keyword_analyses CRUD ────────────────────────────────────────────────────

def _ka_row_to_dict(r) -> Dict[str, Any]:
    return {
        "id":           r["id"],
        "keyword":      r["keyword"],
        "blog_total":   r["blog_total"],
        "shop_total":   r["shop_total"],
        "competition":  r["competition"],
        "opportunity":  r["opportunity"],
        "avg_price":    r["avg_price"],
        "min_price":    r["min_price"],
        "max_price":    r["max_price"],
        "top_products": json.loads(r["top_products"]) if r["top_products"] else [],
        "top_blogs":    json.loads(r["top_blogs"]) if r["top_blogs"] else [],
        "ai_summary":   r["ai_summary"],
        "created_at":   r["created_at"],
    }


def add_keyword_analysis(data: Dict[str, Any]) -> Dict[str, Any]:
    with _conn() as conn:
        conn.execute(
            """INSERT INTO keyword_analyses
               (keyword, blog_total, shop_total, competition, opportunity,
                avg_price, min_price, max_price, top_products, top_blogs, ai_summary)
            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
            (
                data.get("keyword", ""),
                data.get("blog_total", 0),
                data.get("shop_total", 0),
                data.get("competition", 0),
                data.get("opportunity", 0),
                data.get("avg_price"),
                data.get("min_price"),
                data.get("max_price"),
                json.dumps(data.get("top_products", []), ensure_ascii=False),
                json.dumps(data.get("top_blogs", []), ensure_ascii=False),
                data.get("ai_summary", ""),
            ),
        )
        row = conn.execute(
            "SELECT * FROM keyword_analyses WHERE rowid = last_insert_rowid()"
        ).fetchone()
    return _ka_row_to_dict(row)


def get_keyword_analysis(analysis_id: int) -> Optional[Dict[str, Any]]:
    with _conn() as conn:
        row = conn.execute(
            "SELECT * FROM keyword_analyses WHERE id = ?", (analysis_id,)
        ).fetchone()
    return _ka_row_to_dict(row) if row else None


def get_keyword_analyses(limit: int = 30) -> List[Dict[str, Any]]:
    with _conn() as conn:
        rows = conn.execute(
            "SELECT * FROM keyword_analyses ORDER BY created_at DESC LIMIT ?", (limit,)
        ).fetchall()
    return [_ka_row_to_dict(r) for r in rows]


def delete_keyword_analysis(analysis_id: int) -> bool:
    with _conn() as conn:
        row = conn.execute(
            "SELECT id FROM keyword_analyses WHERE id = ?", (analysis_id,)
        ).fetchone()
        if not row:
            return False
        conn.execute("DELETE FROM keyword_analyses WHERE id = ?", (analysis_id,))
    return True


# ── blog_posts CRUD ──────────────────────────────────────────────────────────

def _post_row_to_dict(r) -> Dict[str, Any]:
    return {
        "id":            r["id"],
        "keyword_id":    r["keyword_id"],
        "title":         r["title"],
        "body":          r["body"],
        "excerpt":       r["excerpt"],
        "tags":          json.loads(r["tags"]) if r["tags"] else [],
        "status":        r["status"],
        "review_score":  r["review_score"],
        "review_detail": json.loads(r["review_detail"]) if r["review_detail"] else {},
        "naver_url":     r["naver_url"],
        "trend_brief":   r["trend_brief"],
        "created_at":    r["created_at"],
        "updated_at":    r["updated_at"],
    }


def add_post(data: Dict[str, Any]) -> Dict[str, Any]:
    with _conn() as conn:
        conn.execute(
            """INSERT INTO blog_posts
               (keyword_id, title, body, excerpt, tags, status, review_score,
                review_detail, naver_url, trend_brief)
            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
            (
                data.get("keyword_id"),
                data.get("title", ""),
                data.get("body", ""),
                data.get("excerpt", ""),
                json.dumps(data.get("tags", []), ensure_ascii=False),
                data.get("status", "draft"),
                data.get("review_score"),
                json.dumps(data.get("review_detail", {}), ensure_ascii=False),
                data.get("naver_url", ""),
                data.get("trend_brief", ""),
            ),
        )
        row = conn.execute(
            "SELECT * FROM blog_posts WHERE rowid = last_insert_rowid()"
        ).fetchone()
    return _post_row_to_dict(row)


def get_post(post_id: int) -> Optional[Dict[str, Any]]:
    with _conn() as conn:
        row = conn.execute(
            "SELECT * FROM blog_posts WHERE id = ?", (post_id,)
        ).fetchone()
    return _post_row_to_dict(row) if row else None


def get_posts(status: Optional[str] = None, limit: int = 50) -> List[Dict[str, Any]]:
    with _conn() as conn:
        if status:
            rows = conn.execute(
                "SELECT * FROM blog_posts WHERE status = ? ORDER BY created_at DESC LIMIT ?",
                (status, limit),
            ).fetchall()
        else:
            rows = conn.execute(
                "SELECT * FROM blog_posts ORDER BY created_at DESC LIMIT ?", (limit,)
            ).fetchall()
    return [_post_row_to_dict(r) for r in rows]


def update_post(post_id: int, data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
    with _conn() as conn:
        fields = []
        values = []
        for k in ("title", "body", "excerpt", "status", "naver_url", "trend_brief"):
            if k in data:
                fields.append(f"{k} = ?")
                values.append(data[k])
        if "tags" in data:
            fields.append("tags = ?")
            values.append(json.dumps(data["tags"], ensure_ascii=False))
        if "review_score" in data:
            fields.append("review_score = ?")
            values.append(data["review_score"])
        if "review_detail" in data:
            fields.append("review_detail = ?")
            values.append(json.dumps(data["review_detail"], ensure_ascii=False))
        if not fields:
            return get_post(post_id)
        fields.append("updated_at = strftime('%Y-%m-%dT%H:%M:%fZ','now')")
        values.append(post_id)
        conn.execute(
            f"UPDATE blog_posts SET {', '.join(fields)} WHERE id = ?", values
        )
        row = conn.execute(
            "SELECT * FROM blog_posts WHERE id = ?", (post_id,)
        ).fetchone()
    return _post_row_to_dict(row) if row else None


def delete_post(post_id: int) -> bool:
    with _conn() as conn:
        row = conn.execute(
            "SELECT id FROM blog_posts WHERE id = ?", (post_id,)
        ).fetchone()
        if not row:
            return False
        conn.execute("DELETE FROM blog_posts WHERE id = ?", (post_id,))
    return True


# ── commissions CRUD ─────────────────────────────────────────────────────────

def _comm_row_to_dict(r) -> Dict[str, Any]:
    return {
        "id":         r["id"],
        "post_id":    r["post_id"],
        "month":      r["month"],
        "clicks":     r["clicks"],
        "purchases":  r["purchases"],
        "revenue":    r["revenue"],
        "note":       r["note"],
        "created_at": r["created_at"],
    }


def add_commission(data: Dict[str, Any]) -> Dict[str, Any]:
    with _conn() as conn:
        conn.execute(
            """INSERT INTO commissions (post_id, month, clicks, purchases, revenue, note)
            VALUES (?, ?, ?, ?, ?, ?)""",
            (
                data.get("post_id"),
                data.get("month", ""),
                data.get("clicks", 0),
                data.get("purchases", 0),
                data.get("revenue", 0),
                data.get("note", ""),
            ),
        )
        row = conn.execute(
            "SELECT * FROM commissions WHERE rowid = last_insert_rowid()"
        ).fetchone()
    return _comm_row_to_dict(row)


def get_commissions(post_id: Optional[int] = None, limit: int = 100) -> List[Dict[str, Any]]:
    with _conn() as conn:
        if post_id:
            rows = conn.execute(
                "SELECT * FROM commissions WHERE post_id = ? ORDER BY month DESC LIMIT ?",
                (post_id, limit),
            ).fetchall()
        else:
            rows = conn.execute(
                "SELECT * FROM commissions ORDER BY month DESC LIMIT ?", (limit,)
            ).fetchall()
    return [_comm_row_to_dict(r) for r in rows]


def update_commission(comm_id: int, data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
    with _conn() as conn:
        fields = []
        values = []
        for k in ("month", "clicks", "purchases", "revenue", "note"):
            if k in data:
                fields.append(f"{k} = ?")
                values.append(data[k])
        if not fields:
            return None
        values.append(comm_id)
        conn.execute(
            f"UPDATE commissions SET {', '.join(fields)} WHERE id = ?", values
        )
        row = conn.execute(
            "SELECT * FROM commissions WHERE id = ?", (comm_id,)
        ).fetchone()
    return _comm_row_to_dict(row) if row else None


def delete_commission(comm_id: int) -> bool:
    with _conn() as conn:
        row = conn.execute(
            "SELECT id FROM commissions WHERE id = ?", (comm_id,)
        ).fetchone()
        if not row:
            return False
        conn.execute("DELETE FROM commissions WHERE id = ?", (comm_id,))
    return True


def get_dashboard_stats() -> Dict[str, Any]:
    """대시보드 집계: 총 포스트/클릭/구매/수익 + 월별 추이."""
    with _conn() as conn:
        total_posts = conn.execute("SELECT COUNT(*) FROM blog_posts").fetchone()[0]
        published = conn.execute(
            "SELECT COUNT(*) FROM blog_posts WHERE status = 'published'"
        ).fetchone()[0]

        agg = conn.execute(
            "SELECT COALESCE(SUM(clicks),0), COALESCE(SUM(purchases),0), COALESCE(SUM(revenue),0) FROM commissions"
        ).fetchone()

        monthly = conn.execute(
            """SELECT month, SUM(clicks) as clicks, SUM(purchases) as purchases, SUM(revenue) as revenue
               FROM commissions GROUP BY month ORDER BY month DESC LIMIT 12"""
        ).fetchall()

        top_posts = conn.execute(
            """SELECT bp.id, bp.title, COALESCE(SUM(c.revenue),0) as total_revenue
               FROM blog_posts bp LEFT JOIN commissions c ON c.post_id = bp.id
               GROUP BY bp.id ORDER BY total_revenue DESC LIMIT 5"""
        ).fetchall()

    return {
        "total_posts": total_posts,
        "published_posts": published,
        "total_clicks": agg[0],
        "total_purchases": agg[1],
        "total_revenue": agg[2],
        "monthly": [
            {"month": r["month"], "clicks": r["clicks"], "purchases": r["purchases"], "revenue": r["revenue"]}
            for r in monthly
        ],
        "top_posts": [
            {"id": r["id"], "title": r["title"], "total_revenue": r["total_revenue"]}
            for r in top_posts
        ],
    }


# ── generation_tasks CRUD ────────────────────────────────────────────────────

def _task_row_to_dict(r) -> Dict[str, Any]:
    return {
        "task_id":    r["id"],
        "type":       r["type"],
        "status":     r["status"],
        "progress":   r["progress"],
        "message":    r["message"],
        "result_id":  r["result_id"],
        "error":      r["error"],
        "params":     json.loads(r["params"]) if r["params"] else {},
        "created_at": r["created_at"],
        "updated_at": r["updated_at"],
    }


def create_task(task_id: str, task_type: str, params: Dict[str, Any]) -> Dict[str, Any]:
    with _conn() as conn:
        conn.execute(
            "INSERT INTO generation_tasks (id, type, params) VALUES (?, ?, ?)",
            (task_id, task_type, json.dumps(params, ensure_ascii=False)),
        )
        row = conn.execute(
            "SELECT * FROM generation_tasks WHERE id = ?", (task_id,)
        ).fetchone()
    return _task_row_to_dict(row)


def update_task(
    task_id: str,
    status: str,
    progress: int,
    message: str,
    result_id: Optional[int] = None,
    error: Optional[str] = None,
) -> None:
    with _conn() as conn:
        conn.execute(
            """UPDATE generation_tasks
               SET status = ?, progress = ?, message = ?, result_id = ?, error = ?,
                   updated_at = strftime('%Y-%m-%dT%H:%M:%fZ','now')
               WHERE id = ?""",
            (status, progress, message, result_id, error, task_id),
        )


def get_task(task_id: str) -> Optional[Dict[str, Any]]:
    with _conn() as conn:
        row = conn.execute(
            "SELECT * FROM generation_tasks WHERE id = ?", (task_id,)
        ).fetchone()
    return _task_row_to_dict(row) if row else None


# ── prompt_templates CRUD ────────────────────────────────────────────────────

def get_template(name: str) -> Optional[str]:
    with _conn() as conn:
        row = conn.execute(
            "SELECT template FROM prompt_templates WHERE name = ?", (name,)
        ).fetchone()
    return row["template"] if row else None


def get_all_templates() -> List[Dict[str, Any]]:
    with _conn() as conn:
        rows = conn.execute("SELECT * FROM prompt_templates ORDER BY name").fetchall()
    return [
        {"id": r["id"], "name": r["name"], "description": r["description"],
         "template": r["template"], "updated_at": r["updated_at"]}
        for r in rows
    ]


def update_template(name: str, template: str) -> bool:
    with _conn() as conn:
        conn.execute(
            "UPDATE prompt_templates SET template = ?, updated_at = strftime('%Y-%m-%dT%H:%M:%fZ','now') WHERE name = ?",
            (template, name),
        )
        return conn.execute(
            "SELECT id FROM prompt_templates WHERE name = ?", (name,)
        ).fetchone() is not None