07735fb23f
- 添加 ElevationDatasetFileMeta 数据库模型存储文件级别坐标范围 - 更新 API schema 和 service,返回每个文件的 bbox 信息 - 修改高程数据分析任务,遍历目录所有文件并提取坐标范围 - 前端文件明细表格新增坐标范围列 - 创建数据库迁移脚本 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai>
201 lines
9.1 KiB
Python
201 lines
9.1 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import TYPE_CHECKING, Any
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from uuid import uuid4
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from sqlalchemy import JSON, Boolean, DateTime, Float, ForeignKey, Index, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from ..core.database import Base
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from .base import utcnow
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if TYPE_CHECKING:
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from .line import Line
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from .user import User
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class ElevationDataset(Base):
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__tablename__ = "elevation_dataset"
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__table_args__ = (
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Index("idx_elevation_dataset_status", "status"),
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Index("idx_elevation_dataset_usage_status", "usage_status"),
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Index("idx_elevation_dataset_mount_code", "mount_code"),
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)
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id: Mapped[str] = mapped_column(
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String(32),
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primary_key=True,
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default=lambda: uuid4().hex,
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)
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code: Mapped[str] = mapped_column(String(64), unique=True, nullable=False, index=True)
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name: Mapped[str] = mapped_column(String(255), nullable=False)
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source: Mapped[str | None] = mapped_column(String(128), index=True)
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file_format: Mapped[str] = mapped_column(String(32), default="csv", index=True)
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mount_code: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
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dataset_dir: Mapped[str] = mapped_column(String(2048), nullable=False)
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file_path: Mapped[str] = mapped_column(String(2048), nullable=False)
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resolution_m: Mapped[float | None] = mapped_column(Float)
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status: Mapped[str] = mapped_column(String(32), default="active", index=True)
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usage_status: Mapped[str] = mapped_column(String(32), default="idle", index=True)
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analysis_task_id: Mapped[str | None] = mapped_column(String(128), index=True)
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analysis_status: Mapped[str] = mapped_column(String(32), default="not_started", index=True)
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analysis_error_message: Mapped[str | None] = mapped_column(Text)
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analysis_started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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analysis_finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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terrain_status: Mapped[str] = mapped_column(String(32), default="not_supported", index=True)
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terrain_task_id: Mapped[str | None] = mapped_column(String(128), index=True)
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terrain_error_message: Mapped[str | None] = mapped_column(Text)
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terrain_root_path: Mapped[str | None] = mapped_column(String(2048))
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terrain_url_template: Mapped[str | None] = mapped_column(String(2048))
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terrain_min_zoom: Mapped[int | None] = mapped_column(Integer)
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terrain_max_zoom: Mapped[int | None] = mapped_column(Integer)
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terrain_bounds: Mapped[dict[str, Any] | None] = mapped_column(JSON)
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terrain_metadata: Mapped[dict[str, Any] | None] = mapped_column(JSON)
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sample_count: Mapped[int] = mapped_column(Integer, default=0)
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bbox_min_lon: Mapped[float | None] = mapped_column(Float)
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bbox_max_lon: Mapped[float | None] = mapped_column(Float)
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bbox_min_lat: Mapped[float | None] = mapped_column(Float)
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bbox_max_lat: Mapped[float | None] = mapped_column(Float)
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notes: Mapped[str | None] = mapped_column(Text)
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create_date: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, index=True)
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create_user: Mapped[str | None] = mapped_column(String(64), index=True)
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update_date: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=utcnow,
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onupdate=utcnow,
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)
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update_user: Mapped[str | None] = mapped_column(String(64), index=True)
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class ElevationApplyJob(Base):
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__tablename__ = "elevation_apply_job"
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__table_args__ = (
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Index("idx_elevation_apply_job_status", "status"),
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Index("idx_elevation_apply_job_line", "line_id"),
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Index("idx_elevation_apply_job_dataset", "dataset_id"),
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)
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id: Mapped[str] = mapped_column(
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String(32),
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primary_key=True,
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default=lambda: uuid4().hex,
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)
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line_id: Mapped[str] = mapped_column(
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String(32),
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ForeignKey("power_line.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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dataset_id: Mapped[str] = mapped_column(
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String(32),
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ForeignKey("elevation_dataset.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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mode: Mapped[str] = mapped_column(String(32), default="fill_null_only", index=True)
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status: Mapped[str] = mapped_column(String(32), default="pending", index=True)
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task_id: Mapped[str | None] = mapped_column(String(128), index=True)
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total_tower_count: Mapped[int] = mapped_column(Integer, default=0)
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updated_tower_count: Mapped[int] = mapped_column(Integer, default=0)
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skipped_tower_count: Mapped[int] = mapped_column(Integer, default=0)
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missing_geo_count: Mapped[int] = mapped_column(Integer, default=0)
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unmatched_count: Mapped[int] = mapped_column(Integer, default=0)
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error_message: Mapped[str | None] = mapped_column(Text)
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started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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create_date: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, index=True)
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create_user: Mapped[str | None] = mapped_column(String(64), index=True)
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update_date: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=utcnow,
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onupdate=utcnow,
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)
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update_user: Mapped[str | None] = mapped_column(String(64), index=True)
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line: Mapped[Line] = relationship("Line", lazy="selectin")
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dataset: Mapped[ElevationDataset] = relationship("ElevationDataset", lazy="selectin")
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class ElevationDataImportJob(Base):
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__tablename__ = "elevation_data_import_job"
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__table_args__ = (
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Index("idx_elevation_data_import_job_status", "status"),
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Index("idx_elevation_data_import_job_dataset", "dataset_id"),
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Index("idx_elevation_data_import_job_create_date", "create_date"),
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)
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id: Mapped[str] = mapped_column(
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String(32),
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primary_key=True,
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default=lambda: uuid4().hex,
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)
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dataset_id: Mapped[str] = mapped_column(
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String(32),
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ForeignKey("elevation_dataset.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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status: Mapped[str] = mapped_column(String(32), default="pending", index=True)
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task_id: Mapped[str | None] = mapped_column(String(128), index=True)
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progress_percent: Mapped[int] = mapped_column(Integer, default=0)
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current_stage: Mapped[str | None] = mapped_column(String(64))
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detail_message: Mapped[str | None] = mapped_column(Text)
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trigger_analysis: Mapped[bool] = mapped_column(Boolean, default=True)
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analysis_task_queued: Mapped[bool] = mapped_column(Boolean, default=False)
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analysis_task_id: Mapped[str | None] = mapped_column(String(128), index=True)
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uploaded_file_count: Mapped[int] = mapped_column(Integer, default=0)
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extracted_file_count: Mapped[int] = mapped_column(Integer, default=0)
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imported_file_count: Mapped[int] = mapped_column(Integer, default=0)
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warning_count: Mapped[int] = mapped_column(Integer, default=0)
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warnings_json: Mapped[list[str]] = mapped_column(JSON, default=list)
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imported_files_json: Mapped[list[str]] = mapped_column(JSON, default=list)
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staged_files_json: Mapped[list[dict[str, str | None]]] = mapped_column(JSON, default=list)
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started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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create_date: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, index=True)
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create_user: Mapped[str | None] = mapped_column(String(64), index=True)
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update_date: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=utcnow,
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onupdate=utcnow,
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)
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update_user: Mapped[str | None] = mapped_column(String(64), index=True)
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dataset: Mapped[ElevationDataset] = relationship("ElevationDataset", lazy="selectin")
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class ElevationDatasetFileMeta(Base):
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__tablename__ = "elevation_dataset_file_meta"
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__table_args__ = (
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Index("idx_elevation_file_meta_dataset", "dataset_id"),
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Index("idx_elevation_file_meta_path", "dataset_id", "file_path"),
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)
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id: Mapped[str] = mapped_column(
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String(32),
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primary_key=True,
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default=lambda: uuid4().hex,
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)
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dataset_id: Mapped[str] = mapped_column(
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String(32),
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ForeignKey("elevation_dataset.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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file_path: Mapped[str] = mapped_column(String(2048), nullable=False)
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file_name: Mapped[str] = mapped_column(String(512), nullable=False)
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bbox_min_lon: Mapped[float | None] = mapped_column(Float)
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bbox_max_lon: Mapped[float | None] = mapped_column(Float)
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bbox_min_lat: Mapped[float | None] = mapped_column(Float)
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bbox_max_lat: Mapped[float | None] = mapped_column(Float)
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sample_count: Mapped[int] = mapped_column(Integer, default=0)
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create_date: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, index=True)
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update_date: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=utcnow,
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onupdate=utcnow,
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)
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dataset: Mapped[ElevationDataset] = relationship("ElevationDataset", lazy="selectin")
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