"""§1 백필 — documents.category 전체 행 채우기.

plan: luminous-sprouting-hamster.md §1
확장: stateless-churning-raccoon.md (law 카테고리 분기 + idempotent 재실행)

매핑 규칙:
  source_channel='law_monitor'            → category='law'
  source_channel='news'                   → category='news'
  source_channel='memo'                   → category='memo'
  file_type='note'                        → category='memo'
  user_tags 에 '@library/' 태그 보유      → category='library'
  그 외                                    → category='document'

대상 WHERE:
  category IS NULL
  OR (source_channel='law_monitor' AND category='document')
  — law 신규 enum 도입 전 backfill 로 'document' 배정됐던 206건 재분류.

자동 library 전이 금지 — 기존 @library/ 태그 보유분만 'library' 로 이행.
audio/video 는 §3 이후 생성 (백필 대상 없음).

실행:
  docker compose exec fastapi python /app/scripts/backfill_category.py --dry-run
  docker compose exec fastapi python /app/scripts/backfill_category.py --apply

로컬:
  python scripts/backfill_category.py --dry-run
  DATABASE_URL=postgresql+asyncpg://... python scripts/backfill_category.py --apply
"""

import argparse
import asyncio
import os
import sys

sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "app"))

from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine


CLASSIFY_SQL = """
WITH classified AS (
  SELECT
    id,
    CASE
      WHEN source_channel = 'law_monitor'                             THEN 'law'
      WHEN source_channel = 'news'                                    THEN 'news'
      WHEN source_channel = 'memo'                                    THEN 'memo'
      WHEN file_type      = 'note'                                    THEN 'memo'
      WHEN EXISTS (
        SELECT 1 FROM jsonb_array_elements_text(
          COALESCE(user_tags, '[]'::jsonb)
        ) AS t
        WHERE t LIKE '@library/%'
      )                                                                THEN 'library'
      ELSE                                                                  'document'
    END AS target_category
  FROM documents
  WHERE category IS NULL
     OR (source_channel = 'law_monitor' AND category = 'document')
)
SELECT target_category, COUNT(*) AS n FROM classified GROUP BY 1 ORDER BY 2 DESC;
"""

APPLY_SQL = """
UPDATE documents
   SET category = CASE
     WHEN source_channel = 'law_monitor'                             THEN 'law'::doc_category
     WHEN source_channel = 'news'                                    THEN 'news'::doc_category
     WHEN source_channel = 'memo'                                    THEN 'memo'::doc_category
     WHEN file_type      = 'note'                                    THEN 'memo'::doc_category
     WHEN EXISTS (
       SELECT 1 FROM jsonb_array_elements_text(
         COALESCE(documents.user_tags, '[]'::jsonb)
       ) AS t
       WHERE t LIKE '@library/%'
     )                                                                THEN 'library'::doc_category
     ELSE                                                                  'document'::doc_category
   END
 WHERE category IS NULL
    OR (source_channel = 'law_monitor' AND category = 'document');
"""

VERIFY_SQL = """
SELECT
  (SELECT COUNT(*) FROM documents)                                            AS all_rows,
  (SELECT COUNT(*) FROM documents WHERE category IS NOT NULL)                 AS categorized,
  (SELECT COUNT(*) FROM documents WHERE category IS NULL)                     AS uncategorized,
  (SELECT COUNT(*) FROM documents WHERE category = 'library')                 AS cat_library,
  (SELECT COUNT(*) FROM documents
     WHERE EXISTS (
       SELECT 1 FROM jsonb_array_elements_text(
         COALESCE(user_tags, '[]'::jsonb)
       ) AS t
       WHERE t LIKE '@library/%'
     ))                                                                       AS has_library_tag,
  (SELECT COUNT(*) FROM documents WHERE category = 'law')                     AS cat_law,
  (SELECT COUNT(*) FROM documents WHERE source_channel = 'law_monitor')       AS law_source_count;
"""

DIST_SQL = """
SELECT COALESCE(category::text, '(null)') AS category, COUNT(*) AS n
  FROM documents
 GROUP BY category
 ORDER BY n DESC;
"""


async def run(apply: bool) -> int:
    database_url = os.getenv(
        "DATABASE_URL",
        "postgresql+asyncpg://pkm:pkm@localhost:5432/pkm",
    )

    engine = create_async_engine(database_url)
    session_factory = async_sessionmaker(
        engine, class_=AsyncSession, expire_on_commit=False
    )

    async with session_factory() as session:
        # 1. 현재 분포
        print("=== 현재 category 분포 ===")
        rows = (await session.execute(text(DIST_SQL))).all()
        for row in rows:
            print(f"  {row.category:12}  {row.n}")

        # 2. 분류 예상 (NULL 대상만)
        print("\n=== NULL → target category (매핑 예상) ===")
        rows = (await session.execute(text(CLASSIFY_SQL))).all()
        pending_total = 0
        for row in rows:
            print(f"  {row.target_category:12}  {row.n}")
            pending_total += row.n

        if pending_total == 0:
            print("\n백필 대상 없음 (모든 행 이미 category 설정됨).")
            await engine.dispose()
            return 0

        if not apply:
            print(f"\n[dry-run] {pending_total}건 영향. --apply 로 실제 적용.")
            await engine.dispose()
            return 0

        # 3. apply
        print(f"\n[apply] UPDATE 실행 — {pending_total}건 대상")
        result = await session.execute(text(APPLY_SQL))
        await session.commit()
        print(f"  rowcount = {result.rowcount}")

        # 4. verify
        print("\n=== 백필 후 검증 ===")
        row = (await session.execute(text(VERIFY_SQL))).one()
        print(f"  all_rows          = {row.all_rows}")
        print(f"  categorized       = {row.categorized}")
        print(f"  uncategorized     = {row.uncategorized}")
        print(f"  cat_library       = {row.cat_library}")
        print(f"  has_library_tag   = {row.has_library_tag}")
        print(f"  cat_law           = {row.cat_law}")
        print(f"  law_source_count  = {row.law_source_count}")

        fail = []
        if row.uncategorized != 0:
            fail.append(f"uncategorized={row.uncategorized} (기대 0)")
        if row.all_rows != row.categorized:
            fail.append(f"all={row.all_rows} != categorized={row.categorized}")
        if row.cat_library != row.has_library_tag:
            fail.append(
                f"cat_library={row.cat_library} != has_library_tag={row.has_library_tag} "
                "(자동 전이 없음 정책 위반)"
            )
        if row.cat_law != row.law_source_count:
            fail.append(
                f"cat_law={row.cat_law} != law_source_count={row.law_source_count} "
                "(law_monitor 전체가 category='law' 여야 함)"
            )
        if fail:
            print("\n!! 검증 실패:")
            for f in fail:
                print(f"  - {f}")
            await engine.dispose()
            return 1

        print("\n검증 통과.")

    await engine.dispose()
    return 0


def main():
    parser = argparse.ArgumentParser(description="documents.category 백필")
    mode = parser.add_mutually_exclusive_group(required=True)
    mode.add_argument("--dry-run", action="store_true", help="변경 없이 분포만 보고")
    mode.add_argument("--apply", action="store_true", help="실제 UPDATE 실행")
    args = parser.parse_args()

    rc = asyncio.run(run(apply=args.apply))
    sys.exit(rc)


if __name__ == "__main__":
    main()