from __future__ import annotations

from datetime import datetime
from typing import Literal
from uuid import UUID

from pydantic import BaseModel, model_validator


ExportKind = Literal["dataset", "detection_run", "segmentation_run"]


class GeoJsonExportRequest(BaseModel):
    dataset_id: UUID | None = None
    analysis_run_id: UUID | None = None
    export_kind: ExportKind = "dataset"
    name: str | None = None

    @model_validator(mode="after")
    def validate_target(self) -> "GeoJsonExportRequest":
        if self.export_kind == "dataset" and self.dataset_id is None:
            raise ValueError("dataset_id is required for dataset GeoJSON exports")
        if self.export_kind in {"detection_run", "segmentation_run"} and self.analysis_run_id is None:
            raise ValueError("analysis_run_id is required for run GeoJSON exports")
        return self


class MetadataExportRequest(BaseModel):
    project_id: UUID
    name: str | None = None


class ReportExportRequest(BaseModel):
    project_id: UUID
    name: str | None = None


class ExportRead(BaseModel):
    id: UUID
    project_id: UUID
    analysis_run_id: UUID | None = None
    export_type: str
    storage_path: str
    metadata_json: dict | None = None
    created_at: datetime | None = None
    status: str = "ready"

    model_config = {"from_attributes": True}


class ExportCreateResponse(BaseModel):
    export_id: UUID
    path: str
    status: str
    export_type: str
    metadata_json: dict | None = None


class ExportListResponse(BaseModel):
    items: list[ExportRead]
    total: int
    limit: int
    offset: int


class ExportContentResponse(BaseModel):
    export_id: UUID
    export_type: str
    content: dict