from __future__ import annotations
import os, csv, json, sqlite3
from pathlib import Path
from typing import Optional, Dict, Any, List, Tuple

DEFAULT_DIR = "/data/app_data" if os.access("/data", os.W_OK) else "/tmp/app_data"
DB_DIR = Path(os.environ.get("APP_DATA_DIR", DEFAULT_DIR))
DB_DIR.mkdir(parents=True, exist_ok=True)
DB_PATH = DB_DIR / "data.db"

SCHEMA_SQL = """
PRAGMA journal_mode=WAL;
CREATE TABLE IF NOT EXISTS campaigns (
  campaign_id TEXT PRIMARY KEY,
  brand TEXT,
  product TEXT,
  target_audience TEXT,
  tone TEXT,
  language TEXT,
  constraints_json TEXT,
  value_per_conversion REAL DEFAULT 1.0,
  policy TEXT DEFAULT 'thompson',
  holdout_ratio REAL DEFAULT 0.0,
  stop_min_impressions INTEGER DEFAULT 200,
  stop_rel_ev_threshold REAL DEFAULT 0.5,
  created_at TEXT DEFAULT (datetime('now'))
);
CREATE TABLE IF NOT EXISTS variants (
  campaign_id TEXT,
  variant_id TEXT,
  text TEXT,
  status TEXT,
  rejection_reason TEXT,
  PRIMARY KEY (campaign_id, variant_id)
);
CREATE TABLE IF NOT EXISTS metrics (
  campaign_id TEXT,
  variant_id TEXT,
  impressions INTEGER DEFAULT 0,
  clicks INTEGER DEFAULT 0,
  conversions INTEGER DEFAULT 0,
  alpha_click REAL DEFAULT 1.0,
  beta_click REAL DEFAULT 1.0,
  alpha_conv REAL DEFAULT 1.0,
  beta_conv REAL DEFAULT 1.0,
  PRIMARY KEY (campaign_id, variant_id)
);
CREATE TABLE IF NOT EXISTS events (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  campaign_id TEXT,
  variant_id TEXT,
  event_type TEXT,
  ts TEXT,
  value REAL
);
-- LinUCB のパラメータをJSONで保持
CREATE TABLE IF NOT EXISTS linucb (
  campaign_id TEXT,
  variant_id TEXT,
  d INTEGER,
  A_json TEXT,
  b_json TEXT,
  n_updates INTEGER DEFAULT 0,
  PRIMARY KEY (campaign_id, variant_id)
);
-- コンプライアンス監査ログ（NG詳細/LLM修正案）
CREATE TABLE IF NOT EXISTS compliance_logs (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  campaign_id TEXT,
  variant_id TEXT,
  status TEXT,
  ng_rules_json TEXT,
  llm_ok INTEGER,
  llm_reasons_json TEXT,
  llm_fixed TEXT,
  ts TEXT DEFAULT (datetime('now'))
);
-- 任意の運用監査ログ
CREATE TABLE IF NOT EXISTS audit_logs (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  campaign_id TEXT,
  action TEXT,
  payload_json TEXT,
  ts TEXT DEFAULT (datetime('now'))
);
"""

def get_conn():
    conn = sqlite3.connect(DB_PATH)
    conn.row_factory = sqlite3.Row
    return conn

def _ensure_columns():
    need_cols = {
        "campaigns": [
            ("policy", "TEXT", "'thompson'"),
            ("holdout_ratio", "REAL", "0.0"),
            ("stop_min_impressions", "INTEGER", "200"),
            ("stop_rel_ev_threshold", "REAL", "0.5"),
            ("created_at", "TEXT", "datetime('now')"),
        ]
    }
    with get_conn() as con:
        for table, cols in need_cols.items():
            cur = con.execute(f"PRAGMA table_info({table})")
            have = {r["name"] for r in cur.fetchall()}
            for name, typ, default in cols:
                if name not in have:
                    con.execute(f"ALTER TABLE {table} ADD COLUMN {name} {typ} DEFAULT ({default})")

def init_db():
    with get_conn() as con:
        con.executescript(SCHEMA_SQL)
    _ensure_columns()

# ============== Campaign/Variant/Metric 基本 ==============

def upsert_campaign(campaign_id: str, brand: str, product: str, target_audience: str,
                    tone: str, language: str, constraints: Optional[Dict[str, Any]],
                    value_per_conversion: float):
    with get_conn() as con:
        con.execute(
            """
            INSERT INTO campaigns (campaign_id, brand, product, target_audience, tone, language, constraints_json, value_per_conversion)
            VALUES (?, ?, ?, ?, ?, ?, ?, ?)
            ON CONFLICT(campaign_id) DO UPDATE SET
              brand=excluded.brand,
              product=excluded.product,
              target_audience=excluded.target_audience,
              tone=excluded.tone,
              language=excluded.language,
              constraints_json=excluded.constraints_json,
              value_per_conversion=excluded.value_per_conversion
            """,
            (campaign_id, brand, product, target_audience, tone, language, json.dumps(constraints or {}, ensure_ascii=False), value_per_conversion),
        )

def set_campaign_settings(campaign_id: str, policy: str, holdout_ratio: float, stop_min_impressions: int, stop_rel_ev_threshold: float):
    with get_conn() as con:
        con.execute(
            """
            UPDATE campaigns SET policy=?, holdout_ratio=?, stop_min_impressions=?, stop_rel_ev_threshold=?
            WHERE campaign_id=?
            """,
            (policy, float(holdout_ratio), int(stop_min_impressions), float(stop_rel_ev_threshold), campaign_id)
        )

def get_campaign(campaign_id: str):
    with get_conn() as con:
        cur = con.execute("SELECT * FROM campaigns WHERE campaign_id=?", (campaign_id,))
        return cur.fetchone()

def insert_variant(campaign_id: str, variant_id: str, text: str, status: str, rejection_reason: Optional[str]):
    with get_conn() as con:
        con.execute(
            """
            INSERT OR REPLACE INTO variants (campaign_id, variant_id, text, status, rejection_reason)
            VALUES (?, ?, ?, ?, ?)
            """,
            (campaign_id, variant_id, text, status, rejection_reason),
        )
        con.execute(
            "INSERT OR IGNORE INTO metrics (campaign_id, variant_id) VALUES (?, ?)",
            (campaign_id, variant_id)
        )

def get_variant(campaign_id: str, variant_id: str):
    with get_conn() as con:
        cur = con.execute("SELECT * FROM variants WHERE campaign_id=? AND variant_id=?", (campaign_id, variant_id))
        return cur.fetchone()

def get_variants(campaign_id: str) -> List[sqlite3.Row]:
    with get_conn() as con:
        cur = con.execute("SELECT * FROM variants WHERE campaign_id=?", (campaign_id,))
        return cur.fetchall()

def get_metrics(campaign_id: str) -> List[sqlite3.Row]:
    with get_conn() as con:
        cur = con.execute("SELECT * FROM metrics WHERE campaign_id=?", (campaign_id,))
        return cur.fetchall()

def update_metric(campaign_id: str, variant_id: str, field: str, inc: float = 1.0):
    assert field in {"impressions", "clicks", "conversions", "alpha_click", "beta_click", "alpha_conv", "beta_conv"}
    with get_conn() as con:
        con.execute(f"UPDATE metrics SET {field} = {field} + ? WHERE campaign_id=? AND variant_id=?", (inc, campaign_id, variant_id))

def log_event(campaign_id: str, variant_id: str, event_type: str, ts: str, value):
    with get_conn() as con:
        con.execute(
            "INSERT INTO events (campaign_id, variant_id, event_type, ts, value) VALUES (?, ?, ?, ?, ?)",
            (campaign_id, variant_id, event_type, ts, value)
        )

def get_campaign_value_per_conversion(campaign_id: str) -> float:
    with get_conn() as con:
        cur = con.execute("SELECT value_per_conversion FROM campaigns WHERE campaign_id=?", (campaign_id,))
        row = cur.fetchone()
        return float(row[0]) if row else 1.0

# ============== Compliance / Audit ==============

def record_compliance_log(campaign_id: str, variant_id: str, status: str,
                          ng_rules: List[str], llm_ok: bool, llm_reasons: List[str], llm_fixed: Optional[str]):
    with get_conn() as con:
        con.execute(
            """
            INSERT INTO compliance_logs (campaign_id, variant_id, status, ng_rules_json, llm_ok, llm_reasons_json, llm_fixed)
            VALUES (?, ?, ?, ?, ?, ?, ?)
            """,
            (campaign_id, variant_id, status, json.dumps(ng_rules, ensure_ascii=False), int(llm_ok),
             json.dumps(llm_reasons, ensure_ascii=False), llm_fixed)
        )

def audit(campaign_id: str, action: str, payload: Dict[str, Any]):
    with get_conn() as con:
        con.execute(
            "INSERT INTO audit_logs (campaign_id, action, payload_json) VALUES (?, ?, ?)",
            (campaign_id, action, json.dumps(payload, ensure_ascii=False))
        )

# ============== LinUCB state ==============

def get_linucb_state(campaign_id: str, variant_id: str):
    with get_conn() as con:
        cur = con.execute("SELECT d, A_json, b_json, n_updates FROM linucb WHERE campaign_id=? AND variant_id=?",
                          (campaign_id, variant_id))
        row = cur.fetchone()
        return row

def upsert_linucb_state(campaign_id: str, variant_id: str, d: int, A_json: str, b_json: str, n_updates: int):
    with get_conn() as con:
        con.execute(
            """
            INSERT INTO linucb (campaign_id, variant_id, d, A_json, b_json, n_updates)
            VALUES (?, ?, ?, ?, ?, ?)
            ON CONFLICT(campaign_id, variant_id) DO UPDATE SET
              d=excluded.d, A_json=excluded.A_json, b_json=excluded.b_json, n_updates=excluded.n_updates
            """,
            (campaign_id, variant_id, d, A_json, b_json, n_updates)
        )

# ============== Export / Reset / Stop rules ==============

def export_csv(campaign_id: str, table: str) -> str:
    assert table in {"events", "metrics", "variants", "compliance_logs", "audit_logs"}
    out_dir = DB_DIR / "export"
    out_dir.mkdir(parents=True, exist_ok=True)
    out_path = out_dir / f"{campaign_id}_{table}.csv"
    with get_conn() as con, open(out_path, "w", newline="", encoding="utf-8") as f:
        cur = con.execute(f"SELECT * FROM {table} WHERE campaign_id=? ORDER BY rowid ASC", (campaign_id,))
        rows = cur.fetchall()
        if not rows:
            f.write("")  # 空でもファイルは作る
            return str(out_path)
        fieldnames = rows[0].keys()
        w = csv.DictWriter(f, fieldnames=fieldnames)
        w.writeheader()
        for r in rows:
            w.writerow({k: r[k] for k in fieldnames})
    return str(out_path)

def reset_all():
    # 破壊的操作：全テーブル初期化
    with get_conn() as con:
        con.executescript("""
            DROP TABLE IF EXISTS linucb;
            DROP TABLE IF EXISTS compliance_logs;
            DROP TABLE IF EXISTS audit_logs;
            DROP TABLE IF EXISTS events;
            DROP TABLE IF EXISTS metrics;
            DROP TABLE IF EXISTS variants;
            DROP TABLE IF EXISTS campaigns;
        """)
    init_db()

def evaluate_stop_rules(campaign_id: str) -> List[Tuple[str, str]]:
    """
    撤退基準：
      - impressions >= stop_min_impressions
      - EV（CTRmean*CVRmean*V） がベストの stop_rel_ev_threshold 倍未満 → pause
    返り値: [(variant_id, reason), ...] （pause されたもの）
    """
    cfg = get_campaign(campaign_id)
    if not cfg:
        return []
    min_imp = int(cfg["stop_min_impressions"] or 200)
    thresh = float(cfg["stop_rel_ev_threshold"] or 0.5)
    vpc = float(cfg["value_per_conversion"] or 1.0)

    mets = get_metrics(campaign_id)
    if not mets:
        return []

    def ev_of(r):
        imp = int(r["impressions"]); clk = int(r["clicks"]); conv = int(r["conversions"])
        ctr = (clk / imp) if imp > 0 else 0.0
        cvr = (conv / max(1, clk)) if clk > 0 else 0.0
        return ctr * cvr * vpc

    best_ev = max((ev_of(r) for r in mets), default=0.0)
    paused = []
    with get_conn() as con:
        for r in mets:
            vid = r["variant_id"]
            imp = int(r["impressions"])
            if imp < min_imp:
                continue
            ev = ev_of(r)
            if best_ev <= 0.0:
                continue
            if ev < thresh * best_ev:
                con.execute("UPDATE variants SET status=?, rejection_reason=? WHERE campaign_id=? AND variant_id=?",
                            ("paused", "auto_pause:low_EV", campaign_id, vid))
                paused.append((vid, f"EV {ev:.6f} < {thresh:.2f} * best {best_ev:.6f}"))
    return paused