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133 lines
3.8 KiB
Python
133 lines
3.8 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from uuid import UUID
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from pydantic import BaseModel
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class DatasetStorageResponse(BaseModel):
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original_filename: str | None = None
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stored_filename: str | None = None
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content_type: str | None = None
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size_bytes: int | None = None
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checksum_sha256: str | None = None
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class DatasetVectorSummary(BaseModel):
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feature_count: int | None = None
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geometry_types: list[str] | None = None
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bounds_json: dict | None = None
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approximate_area_m2: float | None = None
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crs: str | None = None
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feature_geometry_count: int | None = None
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invalid_features: int | None = None
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crs_assumed: bool | None = None
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class DatasetCreateResponse(BaseModel):
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id: UUID
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name: str
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dataset_type: str
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source: str
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dataset_role: str = "source"
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source_name: str | None = None
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reference_layer_name: str | None = None
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source_metadata: dict | None = None
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provenance_metadata: dict | None = None
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ingest_key: str | None = None
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source_registry_id: UUID | None = None
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source_snapshot_id: UUID | None = None
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data_contract_key: str | None = None
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data_contract_version: str | None = None
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validation_status: str | None = None
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validation_report_json: dict | None = None
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provenance_status: str | None = None
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lineage_status: str | None = None
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quarantine_status: str | None = None
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imported_at: datetime | None = None
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temporal_series_key: str | None = None
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observed_at: datetime | None = None
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valid_from: datetime | None = None
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valid_to: datetime | None = None
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temporal_granularity: str | None = None
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source_version: str | None = None
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project_id: UUID
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area_id: UUID | None = None
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storage_path: str | None = None
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original_filename: str | None = None
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stored_filename: str | None = None
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content_type: str | None = None
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size_bytes: int | None = None
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checksum_sha256: str | None = None
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crs: str | None = None
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bounds_json: dict | None = None
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metadata_json: dict | None = None
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vector_summary: DatasetVectorSummary | None = None
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status: str
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derived_from_dataset_id: UUID | None = None
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created_at: datetime | None = None
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feature_count: int | None = None
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model_config = {"from_attributes": True}
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class DatasetList(BaseModel):
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items: list[DatasetCreateResponse]
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total: int
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limit: int
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offset: int
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class DatasetMetadataRefresh(BaseModel):
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feature_count: int | None = None
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geometry_types: list[str] | None = None
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bounds_json: dict | None = None
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crs: str | None = None
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class DatasetTemporalUpdate(BaseModel):
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temporal_series_key: str
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observed_at: datetime
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valid_from: datetime | None = None
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valid_to: datetime | None = None
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temporal_granularity: str = "snapshot"
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source_version: str | None = None
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class DatasetVersionRead(BaseModel):
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id: UUID
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dataset_id: UUID
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version: int
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storage_path: str | None = None
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source_version: str | None = None
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observed_at: datetime | None = None
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valid_from: datetime | None = None
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valid_to: datetime | None = None
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checksum_sha256: str | None = None
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source_metadata: dict | None = None
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provenance_metadata: dict | None = None
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ingest_key: str | None = None
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source_registry_id: UUID | None = None
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source_snapshot_id: UUID | None = None
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data_contract_key: str | None = None
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data_contract_version: str | None = None
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validation_status: str | None = None
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validation_report_json: dict | None = None
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provenance_status: str | None = None
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lineage_status: str | None = None
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created_at: datetime | None = None
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model_config = {"from_attributes": True}
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class ExportRequest(BaseModel):
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dataset_id: UUID
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name: str | None = None
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class ExportRead(BaseModel):
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export_id: UUID
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path: str
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status: str
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