371 lines
15 KiB
Python
371 lines
15 KiB
Python
"""B04 지표면 분석 FastAPI 라우터."""
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import asyncio
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import json
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import logging
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from pathlib import Path
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from typing import Any
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from uuid import UUID
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import aiomysql
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import numpy as np
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from fastapi import APIRouter
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from fastapi.responses import JSONResponse
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from B03_FileInput.B03_FileInput_Repository import get_project_storage_relative_path
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from B04_wf1_Surface.B04_wf1_Surface_Engine import run_surface_analysis
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from B04_wf1_Surface.B04_wf1_Surface_Repository import (
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create_processed_point_cloud,
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create_surface_model,
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create_terrain_layer,
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get_input_file,
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list_project_point_cloud_inputs,
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list_surface_models,
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)
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from B04_wf1_Surface.B04_wf1_Surface_Schema import (
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SurfaceAnalyzeRequest,
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SurfaceAnalyzeResponse,
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SurfaceGroundStatsResponse,
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SurfaceInputFileListResponse,
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SurfaceInputFileSummary,
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SurfaceModelListResponse,
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SurfaceModelSummary,
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SurfacePointCloudSampleResponse,
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)
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from common_util.common_util_storage import resolve_stored_project_path
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from config.config_db import get_db_pool
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/projects", tags=["B04 Surface Analysis"])
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POINT_CLOUD_SAMPLE_LIMIT = 100_000
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async def update_project_status(
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connection: aiomysql.Connection, project_id: UUID, status: str
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) -> None:
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async with connection.cursor() as cursor:
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await cursor.execute(
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"""
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UPDATE projects
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SET status = %s, updated_at = NOW()
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WHERE id = %s AND deleted_at IS NULL
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""",
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(status, str(project_id)),
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)
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async def save_surface_analysis_to_db(
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connection: aiomysql.Connection,
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*,
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project_id: UUID,
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input_file_id: int,
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analysis_result: dict[str, Any],
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source_filters: list[str],
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) -> list[int]:
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"""WF1 분석 결과를 DB에 저장한다.
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이 함수는 트랜잭션을 시작하거나 종료하지 않는다. 호출자는 같은 커넥션에서
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begin/commit/rollback을 한 번만 수행해야 한다.
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"""
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input_file = await get_input_file(connection, project_id, input_file_id)
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processed = analysis_result["processed"]
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processed_cloud_id = await create_processed_point_cloud(
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connection,
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input_file_id=input_file_id,
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project_id=project_id,
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process_type="structured",
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processed_file_path=processed["processed_file_path"],
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converted_format=None,
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converted_file_path=processed["converted_file_path"],
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point_count=processed["point_count"],
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bounds=processed["bounds"],
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statistics=processed["statistics"],
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classification_summary=None,
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processing_params={"filters": source_filters},
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)
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surface_model_ids: list[int] = []
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for model in analysis_result["models"]:
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model_id = await create_surface_model(
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connection,
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project_id=project_id,
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model_type=model["model_type"],
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source_file_id=input_file_id,
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processed_cloud_id=processed_cloud_id,
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crs_epsg=input_file["crs_epsg"],
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resolution_m=model["resolution_m"],
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model_file_path=model["model_file_path"],
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generation_params=model["generation_params"],
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)
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surface_model_ids.append(model_id)
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for layer in model["layers"]:
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await create_terrain_layer(
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connection,
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surface_model_id=model_id,
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layer_name=layer["layer_name"],
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geometry_type=layer["geometry_type"],
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layer_file_path=layer["file_path"],
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file_format=layer["file_format"],
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file_size_mb=None,
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statistics=None,
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)
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return surface_model_ids
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@router.post("/{project_id}/surface/analyze", response_model=SurfaceAnalyzeResponse)
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async def analyze_surface(
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project_id: UUID, request: SurfaceAnalyzeRequest
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) -> SurfaceAnalyzeResponse | JSONResponse:
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"""LAS 구조화·지면 필터·지표면 모델 생성을 실행하고 DB에 기록한다."""
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try:
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source_filters = request.resolved_filters()
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methods = request.resolved_methods()
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except ValueError as exc:
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return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
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pool = get_db_pool()
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try:
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async with pool.acquire() as connection:
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await update_project_status(connection, project_id, "WF1_ANALYZING")
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await connection.commit()
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stored_path = await get_project_storage_relative_path(connection, project_id)
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project_root = Path(resolve_stored_project_path(stored_path))
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input_file = await get_input_file(connection, project_id, request.input_file_id)
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las_path = project_root / Path(input_file["raw_file_path"])
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if not las_path.is_file():
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return JSONResponse(
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status_code=404,
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content={"status": "error", "message": "원본 LAS 파일을 찾을 수 없습니다."},
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)
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# 무거운 지형 연산은 이벤트 루프를 막지 않도록 별도 스레드에서 실행.
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result = await asyncio.to_thread(
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run_surface_analysis,
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project_root,
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las_path,
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source_filters=source_filters,
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methods=methods,
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force=request.force,
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)
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# DB 기록 (트랜잭션)
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await connection.begin()
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try:
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surface_model_ids = await save_surface_analysis_to_db(
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connection,
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project_id=project_id,
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input_file_id=request.input_file_id,
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analysis_result=result,
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source_filters=source_filters,
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)
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await update_project_status(connection, project_id, "WF1_COMPLETE")
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await connection.commit()
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except Exception:
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await connection.rollback()
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raise
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return SurfaceAnalyzeResponse(
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project_id=str(project_id),
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ground_summary=result["ground_summary"],
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manifest_status=result["manifest"].get("status", "unknown"),
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surface_model_ids=surface_model_ids,
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)
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except LookupError as exc:
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return JSONResponse(status_code=404, content={"status": "error", "message": str(exc)})
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except (OSError, ValueError) as exc:
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async with pool.acquire() as connection:
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await update_project_status(connection, project_id, "WF1_FAILED")
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await connection.commit()
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return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
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except Exception:
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logger.exception("B04 지표면 분석 실패: project_id=%s", project_id)
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async with pool.acquire() as connection:
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await update_project_status(connection, project_id, "WF1_FAILED")
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await connection.commit()
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return JSONResponse(
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status_code=500,
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content={"status": "error", "message": "지표면 분석 처리 중 오류가 발생했습니다."},
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)
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@router.get("/{project_id}/surface/models", response_model=SurfaceModelListResponse)
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async def get_surface_models(project_id: UUID) -> SurfaceModelListResponse | JSONResponse:
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"""프로젝트의 지표면 모델 목록을 조회한다."""
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pool = get_db_pool()
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try:
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async with pool.acquire() as connection:
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models = await list_surface_models(connection, project_id)
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return SurfaceModelListResponse(
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project_id=str(project_id),
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models=[SurfaceModelSummary(**model) for model in models],
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)
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except Exception:
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logger.exception("B04 지표면 모델 목록 조회 실패: project_id=%s", project_id)
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return JSONResponse(
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status_code=500,
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content={"status": "error", "message": "모델 목록 조회 중 오류가 발생했습니다."},
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)
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@router.get("/{project_id}/surface/input-files", response_model=SurfaceInputFileListResponse)
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async def get_surface_input_files(project_id: UUID) -> SurfaceInputFileListResponse | JSONResponse:
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"""프로젝트의 WF1 분석 대상 LAS/LAZ 입력 파일 목록을 조회한다."""
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pool = get_db_pool()
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try:
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async with pool.acquire() as connection:
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files = await list_project_point_cloud_inputs(connection, project_id)
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return SurfaceInputFileListResponse(
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project_id=str(project_id),
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files=[SurfaceInputFileSummary(**item) for item in files],
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)
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except Exception:
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logger.exception("B04 입력 파일 목록 조회 실패: project_id=%s", project_id)
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return JSONResponse(
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status_code=500,
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content={"status": "error", "message": "입력 파일 목록 조회 중 오류가 발생했습니다."},
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)
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@router.get("/{project_id}/surface/point-cloud", response_model=SurfacePointCloudSampleResponse)
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async def get_surface_point_cloud(
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project_id: UUID,
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) -> SurfacePointCloudSampleResponse | JSONResponse:
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"""구조화된 LAS 결과에서 B04 3D 미리보기용 포인트 샘플을 반환한다."""
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pool = get_db_pool()
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try:
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async with pool.acquire() as connection:
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stored_path = await get_project_storage_relative_path(connection, project_id)
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project_root = Path(resolve_stored_project_path(stored_path))
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structured_path = project_root / "B04_wf1_Surface" / "processed" / "structured.npz"
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if not structured_path.is_file():
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return JSONResponse(
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status_code=404,
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content={"status": "error", "message": "구조화된 포인트클라우드가 없습니다."},
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)
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with np.load(structured_path) as structured:
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xyz = np.asarray(structured["xyz"], dtype=np.float32)
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bounds = np.asarray(structured["bounds"], dtype=np.float64)
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point_count = int(len(xyz))
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if point_count > POINT_CLOUD_SAMPLE_LIMIT:
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rng = np.random.default_rng(20260710)
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indexes = rng.choice(point_count, POINT_CLOUD_SAMPLE_LIMIT, replace=False)
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sample = xyz[indexes]
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else:
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sample = xyz
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return SurfacePointCloudSampleResponse(
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project_id=str(project_id),
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point_count=point_count,
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sampled_count=int(len(sample)),
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bounds={
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"x_min": float(bounds[0, 0]),
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"x_max": float(bounds[0, 1]),
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"y_min": float(bounds[1, 0]),
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"y_max": float(bounds[1, 1]),
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"z_min": float(bounds[2, 0]),
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"z_max": float(bounds[2, 1]),
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},
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points=sample.astype(float).tolist(),
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)
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except LookupError as exc:
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return JSONResponse(status_code=404, content={"status": "error", "message": str(exc)})
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except Exception:
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logger.exception("B04 포인트클라우드 샘플 조회 실패: project_id=%s", project_id)
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return JSONResponse(
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status_code=500,
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content={"status": "error", "message": "포인트클라우드 조회 중 오류가 발생했습니다."},
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)
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@router.get("/{project_id}/surface/ground-stats", response_model=SurfaceGroundStatsResponse)
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async def get_surface_ground_stats(project_id: UUID) -> SurfaceGroundStatsResponse | JSONResponse:
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"""manifest에서 필터별 지면 포인트 통계를 반환한다."""
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pool = get_db_pool()
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try:
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async with pool.acquire() as connection:
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stored_path = await get_project_storage_relative_path(connection, project_id)
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project_root = Path(resolve_stored_project_path(stored_path))
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manifest_path = project_root / "B04_wf1_Surface" / "models" / "manifest.json"
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if not manifest_path.is_file():
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return SurfaceGroundStatsResponse(project_id=str(project_id), filters={})
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manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
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filters = {
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key: {
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"source_point_count": value.get("source_point_count"),
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"methods": value.get("methods", {}),
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}
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for key, value in manifest.get("source_filters", {}).items()
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if isinstance(value, dict)
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}
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return SurfaceGroundStatsResponse(project_id=str(project_id), filters=filters)
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except LookupError as exc:
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return JSONResponse(status_code=404, content={"status": "error", "message": str(exc)})
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except Exception:
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logger.exception("B04 지면 통계 조회 실패: project_id=%s", project_id)
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return JSONResponse(
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status_code=500,
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content={"status": "error", "message": "지면 통계 조회 중 오류가 발생했습니다."},
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)
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@router.get("/{project_id}/surface/status")
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async def get_wf1_analysis_status(project_id: UUID) -> dict:
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"""WF1 분석 상태를 조회한다."""
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pool = get_db_pool()
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try:
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async with pool.acquire() as connection:
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async with connection.cursor(aiomysql.DictCursor) as cursor:
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await cursor.execute(
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"""
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SELECT p.status as project_status, COUNT(sm.id) as model_count
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FROM projects p
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LEFT JOIN surface_models sm ON sm.project_id = p.id
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WHERE p.id = %s AND p.deleted_at IS NULL
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GROUP BY p.id, p.status
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""",
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(str(project_id),),
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)
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row = await cursor.fetchone()
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if not row:
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return JSONResponse(
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status_code=404,
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content={"status": "error", "message": "프로젝트를 찾을 수 없습니다."},
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)
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model_count = int(row["model_count"]) if row else 0
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project_status = str(row.get("project_status") or "NEW")
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if project_status == "WF1_FAILED":
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status = "failed"
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progress_percent = 0
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current_stage = "failed"
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message = "WF1 분석에 실패했습니다."
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elif model_count > 0 or project_status == "WF1_COMPLETE":
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status = "completed"
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progress_percent = 100
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current_stage = "completed"
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message = "WF1 분석이 완료되었습니다."
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elif project_status == "WF1_ANALYZING":
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status = "in_progress"
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progress_percent = 30
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current_stage = "surface_analysis"
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message = "WF1 분석이 진행 중입니다."
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else:
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status = "pending"
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progress_percent = 0
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current_stage = "pending"
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message = "WF1 분석 대기 중입니다."
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return {
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"project_id": str(project_id),
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"status": status,
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"model_count": model_count,
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"progress_percent": progress_percent,
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"current_stage": current_stage,
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"message": message,
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}
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except Exception:
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logger.exception("WF1 분석 상태 조회 실패: project_id=%s", project_id)
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return JSONResponse(
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status_code=500,
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content={"status": "error", "message": "분석 상태 조회 중 오류가 발생했습니다."},
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)
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