70 lines
1.7 KiB
Python
70 lines
1.7 KiB
Python
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
|