chengkai3
2a5cbe474b
修复地形图layer.json缺少minzoom字段导致Cesium无法正确加载地形的问题。 根本原因： - Cesium地形加载需要layer.json同时包含minzoom和maxzoom字段 - 之前只有maxzoom字段，导致Cesium不知道从哪个层级开始加载地形 - 虽然瓦片数据正常（API返回200），但前端无法正确渲染三维地形 修改内容： 1. 在ElevationTerrainLayerResponse模型中添加minzoom字段（schemas/elevation.py） 2. 在地形构建代码中设置minzoom=0（services/elevation_service.py） 3. 地形瓦片的zoom level范围现在完整定义为0-6 影响： - 已构建的地形数据需要重新触发构建任务才能生成包含minzoom的新layer.json - 新构建的地形将自动包含minzoom字段 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai>
291 lines
9.1 KiB
Python
291 lines
9.1 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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ElevationDatasetStatus = Literal["active", "disabled"]
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ElevationDatasetUsageStatus = Literal["idle", "in_use"]
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ElevationDatasetTerrainStatus = Literal["pending", "processing", "ready", "failed", "not_supported"]
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ElevationApplyMode = Literal["fill_null_only", "overwrite_all"]
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ElevationApplyJobStatus = Literal["pending", "running", "success", "failed"]
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ElevationDataImportJobStatus = Literal["pending", "running", "success", "failed"]
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class ElevationDatasetSummary(BaseModel):
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id: str
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code: str
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name: str
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source: str | None = None
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file_format: str
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mount_code: str
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dataset_dir: str
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file_path: str
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resolution_m: float | None = None
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status: ElevationDatasetStatus
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usage_status: ElevationDatasetUsageStatus
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sample_count: int = 0
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bbox_min_lon: float | None = None
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bbox_max_lon: float | None = None
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bbox_min_lat: float | None = None
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bbox_max_lat: float | None = None
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analysis_task_id: str | None = None
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analysis_status: str = "not_started"
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analysis_error_message: str | None = None
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analysis_started_at: datetime | None = None
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analysis_finished_at: datetime | None = None
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terrain_status: ElevationDatasetTerrainStatus = "not_supported"
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terrain_task_id: str | None = None
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terrain_error_message: str | None = None
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terrain_root_path: str | None = None
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terrain_url_template: str | None = None
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terrain_min_zoom: int | None = None
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terrain_max_zoom: int | None = None
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terrain_bounds: dict[str, Any] | None = None
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terrain_metadata: dict[str, Any] | None = None
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notes: str | None = None
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create_date: datetime
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create_user: str | None = None
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update_date: datetime
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update_user: str | None = None
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class ElevationDatasetListResponse(BaseModel):
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items: list[ElevationDatasetSummary]
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total: int
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class ElevationDatasetBatchImportResponse(BaseModel):
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imported_count: int
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analyzed_count: int
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skipped_count: int
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warning_count: int
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warnings: list[str] = Field(default_factory=list)
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items: list[ElevationDatasetSummary] = Field(default_factory=list)
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class ElevationDatasetCreateRequest(BaseModel):
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code: str = Field(min_length=2, max_length=64)
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name: str = Field(min_length=2, max_length=255)
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source: str | None = Field(default=None, max_length=128)
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mount_code: str | None = Field(default=None, min_length=2, max_length=64)
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file_name: str | None = Field(default=None, min_length=1, max_length=255)
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resolution_m: float | None = Field(default=None, gt=0)
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notes: str | None = Field(default=None, max_length=2000)
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class ElevationDatasetUpdateRequest(BaseModel):
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name: str | None = Field(default=None, min_length=2, max_length=255)
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source: str | None = Field(default=None, max_length=128)
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resolution_m: float | None = Field(default=None, gt=0)
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status: ElevationDatasetStatus | None = None
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notes: str | None = Field(default=None, max_length=2000)
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class ElevationDatasetAnalyzeResponse(BaseModel):
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dataset: ElevationDatasetSummary
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task_id: str | None = None
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queued: bool = True
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detail: str | None = None
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warnings: list[str] = Field(default_factory=list)
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class ElevationDatasetTerrainBuildResponse(BaseModel):
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dataset: ElevationDatasetSummary
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task_id: str | None = None
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queued: bool = True
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detail: str | None = None
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warnings: list[str] = Field(default_factory=list)
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class ElevationDatasetPreviewPoint(BaseModel):
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longitude: float
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latitude: float
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altitude_m: float
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class ElevationDatasetPreviewCell(BaseModel):
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min_longitude: float
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max_longitude: float
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min_latitude: float
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max_latitude: float
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altitude_m: float
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class ElevationDatasetPreviewDiagnostics(BaseModel):
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source_crs: str | None = None
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source_bounds_min_x: float | None = None
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source_bounds_max_x: float | None = None
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source_bounds_min_y: float | None = None
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source_bounds_max_y: float | None = None
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wgs84_bounds_min_lon: float | None = None
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wgs84_bounds_max_lon: float | None = None
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wgs84_bounds_min_lat: float | None = None
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wgs84_bounds_max_lat: float | None = None
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raster_width: int | None = None
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raster_height: int | None = None
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target_samples: int | None = None
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sampling_step: int | None = None
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scanned_candidates: int | None = None
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valid_preview_count: int | None = None
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skip_read_error: int = 0
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skip_masked: int = 0
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skip_nodata: int = 0
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skip_nonfinite: int = 0
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skip_sample_transform_error: int = 0
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sample_tx_first_error: str | None = None
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skip_sample_out_of_range: int = 0
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skip_cell_transform_error: int = 0
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skip_cell_out_of_range: int = 0
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class ElevationDatasetPreviewResponse(BaseModel):
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dataset: ElevationDatasetSummary
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preview_mode: Literal["point_cloud", "terrain_grid"]
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total_points: int
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sampled_points: int
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points: list[ElevationDatasetPreviewPoint] = Field(default_factory=list)
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cells: list[ElevationDatasetPreviewCell] = Field(default_factory=list)
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diagnostics: ElevationDatasetPreviewDiagnostics | None = None
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warnings: list[str] = Field(default_factory=list)
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class ElevationDatasetDataImportResponse(BaseModel):
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job: "ElevationDataImportJobSummary"
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queued: bool = True
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detail: str | None = None
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warnings: list[str] = Field(default_factory=list)
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class ElevationDatasetFileItem(BaseModel):
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path: str
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name: str
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size: int
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modified_at: datetime | None = None
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mime_type: str | None = None
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class ElevationDatasetFileListResponse(BaseModel):
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dataset_id: str
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dataset_code: str
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dataset_dir: str
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mount_code: str
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items: list[ElevationDatasetFileItem] = Field(default_factory=list)
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total: int = 0
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class ElevationDatasetAnalysisTaskStatusResponse(BaseModel):
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dataset_id: str
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dataset_code: str
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task_id: str | None = None
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status: Literal["queued", "running", "success", "failed", "unknown", "not_found"] = "not_found"
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detail: str | None = None
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started_at: datetime | None = None
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finished_at: datetime | None = None
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update_date: datetime | None = None
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class ElevationDatasetTerrainTaskStatusResponse(BaseModel):
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dataset_id: str
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dataset_code: str
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task_id: str | None = None
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status: Literal["queued", "running", "success", "failed", "unknown", "not_found"] = "not_found"
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detail: str | None = None
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terrain_url_template: str | None = None
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terrain_min_zoom: int | None = None
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terrain_max_zoom: int | None = None
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update_date: datetime | None = None
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class ElevationTerrainLayerResponse(BaseModel):
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tilejson: str = "2.1.0"
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format: str = "heightmap-1.0"
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version: str = "1.0.0"
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scheme: Literal["tms"] = "tms"
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projection: Literal["EPSG:4326"] = "EPSG:4326"
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tiles: list[str]
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minzoom: int
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maxzoom: int
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extensions: list[str] = Field(default_factory=list)
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attribution: str | None = None
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bounds: list[float] | None = None
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available: list[list[dict[str, int]]] | None = None
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class ElevationApplyJobSummary(BaseModel):
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id: str
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line_id: str
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line_code: str | None = None
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line_name: str | None = None
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dataset_id: str
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dataset_code: str | None = None
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dataset_name: str | None = None
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mode: ElevationApplyMode
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status: ElevationApplyJobStatus
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task_id: str | None = None
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total_tower_count: int = 0
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updated_tower_count: int = 0
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skipped_tower_count: int = 0
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missing_geo_count: int = 0
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unmatched_count: int = 0
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error_message: str | None = None
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started_at: datetime | None = None
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finished_at: datetime | None = None
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create_date: datetime
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create_user: str | None = None
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update_date: datetime
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update_user: str | None = None
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class ElevationApplyJobListResponse(BaseModel):
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items: list[ElevationApplyJobSummary]
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total: int
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class ElevationApplyJobCreateRequest(BaseModel):
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line_id: str = Field(min_length=1, max_length=64)
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dataset_id: str = Field(min_length=1, max_length=64)
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mode: ElevationApplyMode = "fill_null_only"
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class ElevationApplyJobCreateResponse(BaseModel):
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job: ElevationApplyJobSummary
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queued: bool = True
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class ElevationDataImportJobSummary(BaseModel):
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id: str
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dataset_id: str
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dataset_code: str | None = None
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dataset_name: str | None = None
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status: ElevationDataImportJobStatus
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task_id: str | None = None
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progress_percent: int = 0
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current_stage: str | None = None
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detail_message: str | None = None
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trigger_analysis: bool = True
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analysis_task_queued: bool = False
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analysis_task_id: str | None = None
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uploaded_file_count: int = 0
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extracted_file_count: int = 0
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imported_file_count: int = 0
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warning_count: int = 0
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warnings: list[str] = Field(default_factory=list)
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imported_files: list[str] = Field(default_factory=list)
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started_at: datetime | None = None
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finished_at: datetime | None = None
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create_date: datetime
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create_user: str | None = None
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update_date: datetime
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update_user: str | None = None
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class ElevationDataImportJobListResponse(BaseModel):
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items: list[ElevationDataImportJobSummary]
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total: int
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ElevationDatasetDataImportResponse.model_rebuild()
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