from __future__ import annotations
from dataclasses import dataclass
from typing import Tuple, Optional, Iterable
from contextlib import contextmanager
from sqlalchemy import text, func
from sqlalchemy.engine import Engine
from sqlalchemy.orm import Session
from sqlalchemy.sql.elements import ClauseElement
from sqlalchemy.sql import Select

@dataclass(frozen=True)
class BackendInfo:
    name: str
    version: Tuple[int, ...]
    paramstyle: str
    is_sqlite: bool
    is_postgres: bool
    is_mysql: bool
    is_mssql: bool

    supports_returning: bool
    supports_ilike: bool
    requires_order_by_for_offset: bool
    max_bind_params: Optional[int]

    @classmethod
    def from_engine(cls, engine: Engine) -> "BackendInfo":
        d = engine.dialect
        name = d.name
        version = tuple(getattr(d, "server_version_info", ()) or ())
        is_pg = name in {"postgresql", "postgres"}
        is_my = name == "mysql"
        is_sq = name == "sqlite"
        is_ms = name == "mssql"

        supports_ilike = is_pg or is_my
        supports_returning = is_pg or (is_sq and version >= (3, 35))
        requires_order_by_for_offset = is_ms

        max_bind_params = 999 if is_sq else None

        return cls(
            name=name,
            version=version,
            paramstyle=d.paramstyle,
            is_sqlite=is_sq,
            is_postgres=is_pg,
            is_mysql=is_my,
            is_mssql=is_ms,
            supports_returning=supports_returning,
            supports_ilike=supports_ilike,
            requires_order_by_for_offset=requires_order_by_for_offset,
            max_bind_params=max_bind_params,
        )

def make_backend_info(engine: Engine) -> BackendInfo:
    return BackendInfo.from_engine(engine)

def ci_like(column, value: str, backend: BackendInfo) -> ClauseElement:
    """
    Portable save-insensitive LIKE.
    Uses ILIKE where available, else lower() dance.
    """
    pattern = f"%{value}%"
    if backend.supports_ilike:
        return column.ilike(pattern)
    return func.lower(column).like(func.lower(text(":pattern"))).params(pattern=pattern)

def apply_pagination(sel: Select, backend: BackendInfo, *, page: int, per_page: int, default_order_by=None) -> Select:
    """
    Portable pagination. MSSQL requires ORDER BY when using OFFSET
    """
    page = max(1, int(page))
    per_page = max(1, int(per_page))
    offset = (page - 1) * per_page

    if backend.requires_order_by_for_offset and not sel._order_by_clauses:
        if default_order_by is None:
            sel = sel.order_by(text("1"))
        else:
            sel = sel.order_by(default_order_by)

    return sel.limit(per_page).offset(offset)

@contextmanager
def maybe_identify_insert(session: Session, table, backend: BackendInfo):
    """
    For MSSQL tables with IDENTIFY PK when you need to insert explicit IDs.
    No-op elsewhere.
    """
    if not backend.is_mssql:
        yield
        return

    full_name = f"{table.schema}.{table.name}" if table.schema else table.name
    session.execute(text(f"SET IDENTIFY_INSERT {full_name} ON"))
    try:
        yield
    finally:
        session.execute(text(f"SET IDENTITY_INSERT {full_name} OFF"))

def chunked_in(column, values: Iterable, backend: BackendInfo, chunk_size: Optional[int] = None) -> ClauseElement:
    """
    Build a safe large IN() filter respecting bund param limits.
    Returns a disjunction of chunked IN clauses if needed.
    """
    vals = list(values)
    if not vals:
        return text("1=0")

    limit = chunk_size or backend.max_bind_params or len(vals)
    if len(vals) <= limit:
        return column.in_(vals)

    parts = []
    for i in range(0, len(vals), limit):
        parts.append(column.in_(vals[i:i + limit]))

    expr = parts[0]
    for p in parts[1:]:
        expr = expr | p
    return expr