Initial GeoIntel V1 foundation

backend/app/schemas/export.py

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+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