"""Hochgeladene Dateien; jede liegt als eigene DuckDB-Datei mit einer Tabelle vor (→ Konzept 7.7)."""

from datetime import datetime
from typing import Any

from sqlalchemy import JSON, BigInteger, ForeignKey, String, Text, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column

from app.core.database import Base, now

FORMATS = {".csv": "csv", ".tsv": "csv", ".json": "json", ".jsonl": "json", ".ndjson": "json",
           ".parquet": "parquet"}


class Upload(Base):
    __tablename__ = "uploads"
    __table_args__ = (UniqueConstraint("workspace_id", "table_name"),)

    id: Mapped[int] = mapped_column(primary_key=True)
    workspace_id: Mapped[int] = mapped_column(ForeignKey("workspaces.id", ondelete="CASCADE"), index=True)
    filename: Mapped[str] = mapped_column(String(255))  # Originalname, nur zur Anzeige
    table_name: Mapped[str] = mapped_column(String(63))  # Name der Tabelle für SQL
    format: Mapped[str] = mapped_column(String(20))
    size: Mapped[int] = mapped_column(BigInteger)  # hochgeladene Datei
    stored_size: Mapped[int] = mapped_column(BigInteger, default=0, server_default="0")  # DuckDB-Datei, zählt fürs Kontingent
    status: Mapped[str] = mapped_column(String(20), default="new")  # new | ok | error
    error: Mapped[str] = mapped_column(Text, default="")
    # [{"name": ..., "type": ...}]
    columns: Mapped[list[dict[str, Any]]] = mapped_column(JSON, default=list)
    row_count: Mapped[int] = mapped_column(BigInteger, default=0)
    uploaded_by: Mapped[int] = mapped_column(ForeignKey("users.id"))
    created: Mapped[datetime] = mapped_column(default=now)