Aislo/B03_FileInput/B03_FileInput_Router.py

"""B03 파일 입력 FastAPI 라우터."""

import asyncio
import json
import logging
from pathlib import Path
from typing import Any
from uuid import UUID, uuid4

import aiomysql
from fastapi import APIRouter, Depends, File, Form, UploadFile
from fastapi.responses import JSONResponse

from B03_FileInput.B03_FileInput_Email import (
    send_file_upload_complete_email,
)
from B03_FileInput.B03_FileInput_Engine import (
    merge_upload_chunks,
    remove_chunk_session,
    resolve_chunk_session_dir,
    resolve_upload_destination,
    save_upload_chunk,
    save_upload_stream,
)
from B03_FileInput.B03_FileInput_Engine_Analyze import analyze_input_metadata
from B03_FileInput.B03_FileInput_Repository import (
    create_input_file,
    create_upload_session,
    find_input_file_by_name,
    get_project_input_readiness,
    get_project_storage_relative_path,
    get_upload_session,
    list_completed_chunk_indexes,
    list_incomplete_upload_sessions,
    list_project_input_files,
    mark_upload_session_completed,
    mark_upload_session_failed,
    supersede_previous_input_files,
    upsert_upload_chunk,
)
from B03_FileInput.B03_FileInput_Router_Errors import lookup_error_response
from B03_FileInput.B03_FileInput_Schema import (
    ChunkSessionCreateRequest,
    ChunkSessionCreateResponse,
    ChunkUploadResponse,
    FileUploadDescriptor,
    FileUploadResponse,
    UploadedFileResult,
    UploadFinalizeRequest,
    UploadOverviewFile,
    UploadOverviewResponse,
    UploadOverviewSession,
    UploadStatusResponse,
)
from B03_FileInput.B03_FileInput_Service_WF1 import trigger_wf1_analysis_and_email
from common_util.common_util_auth import verify_session
from common_util.common_util_initial_snapshot import clear_designing, discard_initial_snapshot
from common_util.common_util_json import atomic_write_json
from common_util.common_util_project_reset import purge_project_outputs
from common_util.common_util_storage import resolve_stored_project_path
from common_util.common_util_workflow import load_project_workflow
from common_util.common_util_workflow_state import (
    complete_stage,
    get_workflow_state,
    is_analysis_running,
    reset_stages_after_input_change,
)
from config.config_db import get_db_pool
from config.config_system import (
    UPLOAD_CHUNK_SIZE_BYTES,
    UPLOAD_MAX_FILES,
)

_ANALYSIS_RUNNING_MESSAGE = "이 프로젝트는 지금 분석 중입니다. 끝난 뒤에 새 자료를 올려 주세요."

logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/projects", tags=["B03 File Input"])

_REQUIRED_FILE_TYPES = frozenset({"prj", "tfw"})
_POINT_CLOUD_FILE_TYPES = frozenset({"las", "laz"})
# 계획노선은 CSV 또는 shapefile 중 하나면 된다 (2026-08-31 — 원청 정식 노선이 shapefile).
_ROUTE_FILE_TYPES = frozenset({"csv", "shp"})
# shapefile은 이것들이 다 있어야 열린다. `.cpg`는 없으면 CP949로 읽으므로 필수가 아니다.
# `route_prj`는 노선 세트 폴더에 있는 PRJ — 지형 PRJ(`prj`)와 따로 센다.
_SHAPEFILE_REQUIRED_TYPES = frozenset({"shx", "dbf", "route_prj"})


def _total_chunks(size_bytes: int, chunk_size_bytes: int) -> int:
    return max(1, (size_bytes + chunk_size_bytes - 1) // chunk_size_bytes)


def _is_point_cloud_result(result: UploadedFileResult) -> bool:
    """포인트클라우드 결과인지 — 임시 보관함 안내 메일 경로에서 쓴다.

    프로젝트 업로드 경로는 더 이상 이 판정으로 메일을 보내지 않는다
    ([[_send_upload_complete_notification]] 주석 참고).
    """
    return result.file_type.lower() in _POINT_CLOUD_FILE_TYPES


def _missing_required_file_types(file_types: set[str], las_free: bool = False) -> list[str]:
    missing = sorted(_REQUIRED_FILE_TYPES - file_types)
    if not file_types.intersection(_ROUTE_FILE_TYPES):
        missing.append("csv/shp")
    # shapefile로 왔으면 형제 파일이 다 있어야 노선을 읽는다.
    if "shp" in file_types:
        missing.extend(sorted(_SHAPEFILE_REQUIRED_TYPES - file_types))
    # LAS 없는 설계(도엽등고선 기반, 2026-08-30)는 LAS 필수를 면제한다.
    if not las_free and not file_types.intersection(_POINT_CLOUD_FILE_TYPES):
        missing.append("las/laz")
    return missing


def _require_complete_file_set(file_types: set[str], las_free: bool = False) -> None:
    missing = _missing_required_file_types(file_types, las_free)
    if missing:
        raise ValueError(f"B03 필수 입력 파일이 없습니다: {', '.join(missing)}")


def _stored_fingerprint(metadata: Any) -> str | None:
    """입력 파일 메타데이터에 적어 둔 지문을 꺼낸다."""
    if isinstance(metadata, str):
        try:
            metadata = json.loads(metadata)
        except (TypeError, ValueError):
            return None
    if not isinstance(metadata, dict):
        return None
    value = metadata.get("fingerprint")
    return str(value) if value else None


async def _already_uploaded(
    connection: aiomysql.Connection,
    project_id: UUID,
    payload: ChunkSessionCreateRequest,
) -> ChunkSessionCreateResponse | None:
    """같은 이름으로 **같은 내용**이 이미 올라와 있으면 전송을 건너뛰라는 응답을 만든다.

    1.7GB를 다 받은 뒤에 비교하면 아낄 게 없으므로, 세션을 만들기 전에 화면이 보내 준
    지문으로 가린다. 지문이 없거나 다르면 그냥 올린다 — 애매하면 올리는 쪽이 안전하다.
    """
    if not payload.fingerprint:
        return None
    existing = await find_input_file_by_name(connection, project_id, payload.original_filename)
    if not existing or _stored_fingerprint(existing.get("metadata")) != payload.fingerprint:
        return None
    logger.info(
        "B03 같은 파일 재업로드 — 전송 생략: project_id=%s file=%s",
        project_id,
        payload.original_filename,
    )
    return ChunkSessionCreateResponse(
        project_id=str(project_id),
        upload_session_id="",
        original_filename=payload.original_filename,
        file_size_bytes=payload.size_bytes,
        chunk_size_bytes=payload.chunk_size_bytes,
        total_chunks=0,
        already_uploaded=True,
    )


async def _complete_file_input_if_ready(
    connection: aiomysql.Connection,
    project_id: UUID,
    las_free: bool = False,
) -> int:
    file_types, point_cloud_input_id, route_csv_input_id = await get_project_input_readiness(
        connection, project_id
    )
    _require_complete_file_set(file_types, las_free)
    if point_cloud_input_id is None:
        if not las_free:
            raise ValueError("LAS 또는 LAZ 입력 파일을 찾을 수 없습니다.")
        if route_csv_input_id is None:
            raise ValueError("계획 노선 입력 파일(CSV 또는 shapefile)을 찾을 수 없습니다.")
    # 자료가 갈렸으니 옛 계산 결과(파일 + DB)를 지우고 진행 표시도 되돌린다. 남겨 두면
    # 아직 다시 만들어지지 않은 뒷단계 화면이 옛 결과를 새 자료 것인 양 보여준다.
    stored_path = await get_project_storage_relative_path(connection, project_id)
    project_root = Path(resolve_stored_project_path(stored_path))
    clear_designing(project_root)
    discard_initial_snapshot(project_root)
    await purge_project_outputs(connection, str(project_id), project_root)
    async with connection.cursor(aiomysql.DictCursor) as cursor:
        await reset_stages_after_input_change(cursor, str(project_id))
        await complete_stage(cursor, str(project_id), 0)
    # LAS가 있으면 LAS, 없으면(las_free) 계획노선 CSV가 WF1 분석 입력이다.
    return point_cloud_input_id if point_cloud_input_id is not None else int(route_csv_input_id)


def _write_stage_metadata(
    stage_root: Path,
    project_id: UUID,
    results: list[UploadedFileResult],
) -> None:
    metadata_path = stage_root / "metadata.json"
    existing_files: list[dict[str, Any]] = []
    if metadata_path.exists():
        try:
            payload = json.loads(metadata_path.read_text(encoding="utf-8"))
            existing_files = list(payload.get("files") or [])
        except (OSError, TypeError, ValueError):
            logger.warning("B03 metadata.json을 읽지 못해 새로 작성합니다: %s", metadata_path)

    merged = {
        str(item.get("relative_path") or item.get("original_filename")): item
        for item in existing_files
    }
    for result in results:
        dumped = result.model_dump()
        merged[result.relative_path] = dumped
    atomic_write_json(
        metadata_path,
        {"project_id": str(project_id), "files": list(merged.values())},
    )


# 실행 중인 백그라운드 작업의 강한 참조. 이벤트 루프는 작업을 약한 참조로만 들고 있어,
# 여기서 붙잡지 않으면 GC가 대기 중인 작업을 통째로 회수해 WF1 분석이 조용히 사라진다
# (업로드는 성공·stage 0은 COMPLETE인데 stage 1은 NOT_STARTED로 남는 증상).
_BACKGROUND_TASKS: set[asyncio.Task] = set()


def _schedule_background_task(coro: Any, *, task_name: str) -> None:
    task = asyncio.create_task(coro, name=task_name)
    _BACKGROUND_TASKS.add(task)

    def _log_task_failure(completed: asyncio.Task) -> None:
        _BACKGROUND_TASKS.discard(completed)
        try:
            completed.result()
        except asyncio.CancelledError:
            logger.warning("백그라운드 작업 취소됨: %s", task_name)
        except Exception:
            logger.exception("백그라운드 작업 실패: %s", task_name)

    task.add_done_callback(_log_task_failure)
    logger.info("백그라운드 작업 시작: %s", task_name)


async def _get_project_notification_info(
    connection: aiomysql.Connection,
    project_id: UUID,
) -> dict[str, Any] | None:
    async with connection.cursor(aiomysql.DictCursor) as cursor:
        await cursor.execute(
            """
            SELECT
                p.id,
                p.name AS project_name,
                u.email AS user_email,
                u.name AS user_name
            FROM projects p
            JOIN users u ON u.id = p.user_id
            WHERE p.id = %s AND p.deleted_at IS NULL AND u.deleted_at IS NULL
            """,
            (str(project_id),),
        )
        row = await cursor.fetchone()
    return dict(row) if row else None


async def _update_project_status(project_id: UUID, status: str) -> None:
    pool = get_db_pool()
    async with pool.acquire() as connection, connection.cursor() as cursor:
        await cursor.execute(
            """
            UPDATE projects
            SET status = %s, updated_at = NOW()
            WHERE id = %s AND deleted_at IS NULL
            """,
            (status, str(project_id)),
        )
        await connection.commit()


async def _send_upload_complete_notification(
    *,
    project_id: UUID,
    uploaded_file: UploadedFileResult,
) -> None:
    """저장만 끝났을 때 보내는 안내.

    프로젝트 업로드 경로에서는 호출하지 않는다 — 그 흐름은 초기 설계까지 마친 뒤
    통합 메일 한 통으로 알린다. 프로젝트 생성 전 임시 보관함 업로드에서 쓸 예정이라
    지워두지 않았다(2026-08-08 사용자 지시).
    """
    pool = get_db_pool()
    async with pool.acquire() as connection:
        project_info = await _get_project_notification_info(connection, project_id)
    if not project_info or not project_info.get("user_email"):
        logger.warning("업로드 완료 이메일 수신자 없음: project_id=%s", project_id)
        return

    await send_file_upload_complete_email(
        to_email=str(project_info["user_email"]),
        user_name=str(project_info.get("user_name") or "사용자"),
        project_name=str(project_info.get("project_name") or project_id),
        file_name=uploaded_file.original_filename,
        file_size_mb=uploaded_file.size_bytes / (1024 * 1024),
        metadata=uploaded_file.metadata,
    )


@router.post("/{project_id}/files", response_model=FileUploadResponse)
async def upload_project_files(
    project_id: UUID,
    files: list[UploadFile] = File(...),
    las_free: bool = Form(False),
    session: dict[str, Any] = Depends(verify_session),
) -> FileUploadResponse | JSONResponse:
    """프로젝트 입력 파일을 저장·분석하고 DB 메타데이터를 기록한다."""
    if not files or len(files) > UPLOAD_MAX_FILES:
        return JSONResponse(
            status_code=400,
            content={
                "status": "error",
                "message": f"파일은 1~{UPLOAD_MAX_FILES}개까지 가능합니다.",
            },
        )

    filenames = [upload.filename or "" for upload in files]
    if len({filename.casefold() for filename in filenames}) != len(filenames):
        return JSONResponse(
            status_code=400,
            content={"status": "error", "message": "동일한 파일명을 중복 업로드할 수 없습니다."},
        )
    las_count = sum(Path(filename).suffix.lower() in {".las", ".laz"} for filename in filenames)
    # LAS 없는 설계(las_free)는 LAS를 **0개만** 받는다. 섞여 들어오면 되돌린다 —
    # 올려 두면 전처리가 어느 쪽 경로인지 갈리지 않는다(2026-08-30 사용자 지시).
    if las_free and las_count:
        return JSONResponse(
            status_code=400,
            content={
                "status": "error",
                "message": "LAS 없이 설계를 켠 상태에서는 LAS/LAZ 파일을 올릴 수 없습니다.",
            },
        )
    if not las_free and las_count != 1:
        return JSONResponse(
            status_code=400,
            content={
                "status": "error",
                "message": "LAS 또는 LAZ 파일을 정확히 1개 포함해야 합니다.",
            },
        )
    csv_count = sum(Path(filename).suffix.lower() == ".csv" for filename in filenames)
    if csv_count != 1:
        return JSONResponse(
            status_code=400,
            content={
                "status": "error",
                "message": "계획노선 CSV 파일을 정확히 1개 포함해야 합니다.",
            },
        )
    request_file_types = {Path(filename).suffix.lower().lstrip(".") for filename in filenames}
    missing_required = _missing_required_file_types(request_file_types, las_free)
    if missing_required:
        return JSONResponse(
            status_code=400,
            content={
                "status": "error",
                "message": f"B03 필수 입력 파일이 없습니다: {', '.join(missing_required)}",
            },
        )

    pool = get_db_pool()
    saved_paths: list[Path] = []
    try:
        results: list[UploadedFileResult] = []
        point_cloud_input_id: int | None = None

        async with pool.acquire() as connection:
            stored_path = await get_project_storage_relative_path(connection, project_id)
            project_root = Path(resolve_stored_project_path(stored_path))

            await connection.begin()
            try:
                for upload in files:
                    preliminary = FileUploadDescriptor(
                        original_filename=upload.filename or "",
                        size_bytes=max(upload.size or 0, 1),
                    )
                    destination = resolve_upload_destination(project_root, preliminary)
                    written_bytes = await save_upload_stream(upload, destination)
                    saved_paths.append(destination)
                    descriptor = FileUploadDescriptor(
                        original_filename=preliminary.original_filename,
                        size_bytes=written_bytes,
                    )
                    metadata = await asyncio.to_thread(analyze_input_metadata, destination)
                    relative_path = destination.relative_to(project_root).as_posix()
                    file_type = destination.suffix.lower().lstrip(".")
                    crs_epsg = metadata.get("epsg")
                    input_file_id = await create_input_file(
                        connection,
                        project_id=project_id,
                        file_type=file_type,
                        original_filename=descriptor.original_filename,
                        relative_path=relative_path,
                        file_size_bytes=written_bytes,
                        upload_by=None,
                        crs_epsg=int(crs_epsg) if crs_epsg is not None else None,
                        metadata=metadata,
                    )
                    results.append(
                        UploadedFileResult(
                            input_file_id=input_file_id,
                            original_filename=descriptor.original_filename,
                            file_type=file_type,
                            relative_path=relative_path,
                            size_bytes=written_bytes,
                            metadata=metadata,
                        )
                    )
                point_cloud_input_id = await _complete_file_input_if_ready(
                    connection, project_id, las_free
                )
                await connection.commit()
            except Exception:
                await connection.rollback()
                raise

        stage_root = project_root / "B03_FileInput"
        _write_stage_metadata(stage_root, project_id, results)
        workflow_path = project_root / "workflow.json"
        if not workflow_path.exists():
            atomic_write_json(workflow_path, load_project_workflow(project_root))
        # 업로드 직후 안내 메일은 보내지 않는다 — 초기 설계(B04~B06)까지 마친 뒤
        # WF1 서비스가 통합 메일 한 통을 보낸다(2026-08-08 사용자 지시).
        if point_cloud_input_id is not None:
            _schedule_background_task(
                trigger_wf1_analysis_and_email(
                    project_id=project_id,
                    input_file_id=point_cloud_input_id,
                    user_role=str(session["role"]),
                ),
                task_name=f"b04-preprocess-auto-{project_id}",
            )
        return FileUploadResponse(project_id=str(project_id), files=results)
    except LookupError as exc:
        return lookup_error_response(exc, logger, context="B03 업로드", project_id=project_id)
    except (OSError, ValueError) as exc:
        for saved_path in saved_paths:
            saved_path.unlink(missing_ok=True)
        return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
    except Exception:
        for saved_path in saved_paths:
            saved_path.unlink(missing_ok=True)
        logger.exception("B03 파일 업로드 처리 실패: project_id=%s", project_id)
        return JSONResponse(
            status_code=500,
            content={"status": "error", "message": "파일 업로드 처리 중 오류가 발생했습니다."},
        )
    finally:
        for upload in files:
            await upload.close()


@router.post("/{project_id}/upload-sessions", response_model=ChunkSessionCreateResponse)
async def create_project_upload_session(
    project_id: UUID,
    payload: ChunkSessionCreateRequest,
    session: dict[str, Any] = Depends(verify_session),
) -> ChunkSessionCreateResponse | JSONResponse:
    """대용량 파일 청크 업로드 세션을 생성한다."""
    # LAS 없는 설계를 켠 상태면 포인트클라우드는 받지 않는다 — 큰 LAS는 이 경로로
    # 들어오므로 여기서 막지 않으면 `/files` 검사를 통째로 비켜 간다.
    if payload.las_free and Path(payload.original_filename).suffix.lower() in {".las", ".laz"}:
        return JSONResponse(
            status_code=400,
            content={
                "status": "error",
                "message": "LAS 없이 설계를 켠 상태에서는 LAS/LAZ 파일을 올릴 수 없습니다.",
            },
        )
    chunk_size_bytes = min(payload.chunk_size_bytes, UPLOAD_CHUNK_SIZE_BYTES)
    total_chunks = _total_chunks(payload.size_bytes, chunk_size_bytes)
    session_id = str(uuid4())
    point_cloud_input_id: int | None = None
    skipped: ChunkSessionCreateResponse | None = None

    pool = get_db_pool()
    try:
        async with pool.acquire() as connection:
            await get_project_storage_relative_path(connection, project_id)
            # 분석이 도는 중이면 새 자료를 받지 않는다 — 받아 봐야 분석 2개가 같은 산출물
            # 경로에서 부딪힌다. 화면도 버튼을 잠그지만 새로고침으로 우회할 수 있어 여기서 막는다.
            async with connection.cursor(aiomysql.DictCursor) as cursor:
                if await is_analysis_running(cursor, str(project_id)):
                    return JSONResponse(
                        status_code=409,
                        content={"status": "error", "message": _ANALYSIS_RUNNING_MESSAGE},
                    )
            skipped = await _already_uploaded(connection, project_id, payload)
            if skipped is not None:
                if payload.complete_upload:
                    await connection.begin()
                    try:
                        point_cloud_input_id = await _complete_file_input_if_ready(
                            connection,
                            project_id,
                            payload.las_free,
                        )
                        await connection.commit()
                    except Exception:
                        await connection.rollback()
                        raise
            else:
                await create_upload_session(
                    connection,
                    session_id=session_id,
                    project_id=project_id,
                    original_filename=payload.original_filename,
                    file_size_bytes=payload.size_bytes,
                    chunk_size_bytes=chunk_size_bytes,
                    total_chunks=total_chunks,
                )
        if skipped is not None:
            if point_cloud_input_id is not None:
                _schedule_background_task(
                    trigger_wf1_analysis_and_email(
                        project_id=project_id,
                        input_file_id=point_cloud_input_id,
                        user_role=str(session["role"]),
                    ),
                    task_name=f"b04-preprocess-auto-{project_id}",
                )
            return skipped
        return ChunkSessionCreateResponse(
            project_id=str(project_id),
            upload_session_id=session_id,
            original_filename=payload.original_filename,
            file_size_bytes=payload.size_bytes,
            chunk_size_bytes=chunk_size_bytes,
            total_chunks=total_chunks,
        )
    except LookupError as exc:
        return lookup_error_response(exc, logger, context="B03 업로드", project_id=project_id)
    except (OSError, ValueError) as exc:
        return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
    except Exception:
        logger.exception("B03 청크 세션 생성 실패: project_id=%s", project_id)
        return JSONResponse(
            status_code=500,
            content={"status": "error", "message": "업로드 세션 생성 중 오류가 발생했습니다."},
        )


@router.post("/{project_id}/chunks", response_model=ChunkUploadResponse)
async def upload_project_chunk(
    project_id: UUID,
    session_id: str = Form(...),
    chunk_index: int = Form(...),
    chunk_data: UploadFile = File(...),
) -> ChunkUploadResponse | JSONResponse:
    """단일 파일 청크를 B03 임시 폴더에 저장하고 DB에 기록한다."""
    pool = get_db_pool()
    try:
        async with pool.acquire() as connection:
            upload_session = await get_upload_session(
                connection,
                project_id=project_id,
                session_id=session_id,
            )
            if chunk_index < 0 or chunk_index >= int(upload_session["total_chunks"]):
                return JSONResponse(
                    status_code=400,
                    content={"status": "error", "message": "청크 인덱스가 범위를 벗어났습니다."},
                )
            stored_path = await get_project_storage_relative_path(connection, project_id)
            project_root = Path(resolve_stored_project_path(stored_path))
            session_dir = resolve_chunk_session_dir(project_root, session_id)
            chunk_path, size_bytes, chunk_hash = await save_upload_chunk(
                chunk_data,
                session_dir,
                chunk_index,
                expected_max_bytes=int(upload_session["chunk_size_bytes"]),
            )
            relative_chunk_path = chunk_path.relative_to(project_root).as_posix()
            completed_chunks = await upsert_upload_chunk(
                connection,
                session_id=session_id,
                chunk_index=chunk_index,
                chunk_hash=chunk_hash,
                size_bytes=size_bytes,
                stored_at=relative_chunk_path,
            )
        return ChunkUploadResponse(
            upload_session_id=session_id,
            chunk_index=chunk_index,
            completed_chunks=completed_chunks,
            total_chunks=int(upload_session["total_chunks"]),
            chunk_hash=chunk_hash,
        )
    except LookupError as exc:
        return lookup_error_response(exc, logger, context="B03 업로드", project_id=project_id)
    except (OSError, ValueError) as exc:
        return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
    except Exception:
        logger.exception(
            "B03 청크 업로드 실패: project_id=%s session_id=%s",
            project_id,
            session_id,
        )
        return JSONResponse(
            status_code=500,
            content={"status": "error", "message": "청크 업로드 중 오류가 발생했습니다."},
        )
    finally:
        await chunk_data.close()


@router.post("/{project_id}/finalize", response_model=FileUploadResponse)
async def finalize_project_upload(
    project_id: UUID,
    payload: UploadFinalizeRequest,
    session: dict[str, Any] = Depends(verify_session),
) -> FileUploadResponse | JSONResponse:
    """청크 업로드를 최종 병합하고 input_files 메타데이터를 기록한다."""
    pool = get_db_pool()
    final_path: Path | None = None
    point_cloud_input_id: int | None = None
    try:
        async with pool.acquire() as connection:
            upload_session = await get_upload_session(
                connection,
                project_id=project_id,
                session_id=payload.session_id,
            )
            if int(upload_session["total_chunks"]) != payload.total_chunks:
                return JSONResponse(
                    status_code=400,
                    content={"status": "error", "message": "세션 청크 개수가 일치하지 않습니다."},
                )
            completed_indexes = await list_completed_chunk_indexes(
                connection,
                session_id=payload.session_id,
            )
            expected_indexes = list(range(payload.total_chunks))
            if completed_indexes != expected_indexes:
                return JSONResponse(
                    status_code=400,
                    content={"status": "error", "message": "아직 업로드되지 않은 청크가 있습니다."},
                )

            stored_path = await get_project_storage_relative_path(connection, project_id)
            project_root = Path(resolve_stored_project_path(stored_path))
            descriptor = FileUploadDescriptor(
                original_filename=str(upload_session["original_filename"]),
                size_bytes=int(upload_session["file_size_bytes"]),
            )
            final_path = merge_upload_chunks(
                project_root,
                descriptor,
                payload.session_id,
                payload.total_chunks,
            )
            metadata = await asyncio.to_thread(analyze_input_metadata, final_path)
            # 다음에 같은 파일이 올라오면 전송을 건너뛸 수 있도록 지문을 함께 남긴다.
            fingerprint = payload.fingerprint or None
            if fingerprint:
                metadata = {**metadata, "fingerprint": fingerprint}
            relative_path = final_path.relative_to(project_root).as_posix()
            file_type = final_path.suffix.lower().lstrip(".")
            crs_epsg = metadata.get("epsg")

            await connection.begin()
            try:
                input_file_id = await create_input_file(
                    connection,
                    project_id=project_id,
                    file_type=file_type,
                    original_filename=descriptor.original_filename,
                    relative_path=relative_path,
                    file_size_bytes=descriptor.size_bytes,
                    upload_by=None,
                    crs_epsg=int(crs_epsg) if crs_epsg is not None else None,
                    metadata=metadata,
                )
                # 같은 이름의 옛 행은 내려 둔다 — 목록·분석이 최신 1건만 보게 한다.
                await supersede_previous_input_files(
                    connection,
                    project_id,
                    descriptor.original_filename,
                    input_file_id,
                )
                await mark_upload_session_completed(connection, session_id=payload.session_id)
                if payload.complete_upload:
                    point_cloud_input_id = await _complete_file_input_if_ready(
                        connection,
                        project_id,
                        payload.las_free,
                    )
                await connection.commit()
            except Exception:
                await connection.rollback()
                await mark_upload_session_failed(connection, session_id=payload.session_id)
                raise

        remove_chunk_session(project_root, payload.session_id)
        result = UploadedFileResult(
            input_file_id=input_file_id,
            original_filename=descriptor.original_filename,
            file_type=file_type,
            relative_path=relative_path,
            size_bytes=descriptor.size_bytes,
            metadata=metadata,
        )
        stage_root = project_root / "B03_FileInput"
        _write_stage_metadata(stage_root, project_id, [result])
        # 업로드 직후 안내 메일은 보내지 않는다 — 위 일반 업로드 경로와 같은 이유.
        if point_cloud_input_id is not None:
            _schedule_background_task(
                trigger_wf1_analysis_and_email(
                    project_id=project_id,
                    input_file_id=point_cloud_input_id,
                    user_role=str(session["role"]),
                ),
                task_name=f"b04-preprocess-auto-{project_id}",
            )
        return FileUploadResponse(project_id=str(project_id), files=[result])
    except LookupError as exc:
        return lookup_error_response(exc, logger, context="B03 업로드", project_id=project_id)
    except (OSError, ValueError) as exc:
        if final_path is not None:
            final_path.unlink(missing_ok=True)
        return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
    except Exception:
        if final_path is not None:
            final_path.unlink(missing_ok=True)
        logger.exception("B03 청크 업로드 최종 병합 실패: project_id=%s", project_id)
        return JSONResponse(
            status_code=500,
            content={"status": "error", "message": "업로드 최종 처리 중 오류가 발생했습니다."},
        )


@router.get("/{project_id}/upload-status/{session_id}", response_model=UploadStatusResponse)
async def get_project_upload_status(
    project_id: UUID,
    session_id: str,
) -> UploadStatusResponse | JSONResponse:
    """업로드 세션의 청크 완료 상태를 조회한다."""
    pool = get_db_pool()
    try:
        async with pool.acquire() as connection:
            upload_session = await get_upload_session(
                connection,
                project_id=project_id,
                session_id=session_id,
            )
            completed_indexes = await list_completed_chunk_indexes(
                connection,
                session_id=session_id,
            )
        return UploadStatusResponse(
            upload_session_id=session_id,
            upload_status=str(upload_session["status"]),
            original_filename=str(upload_session["original_filename"]),
            file_size_bytes=int(upload_session["file_size_bytes"]),
            chunk_size_bytes=int(upload_session["chunk_size_bytes"]),
            total_chunks=int(upload_session["total_chunks"]),
            completed_chunks=len(completed_indexes),
            completed_chunk_indexes=completed_indexes,
        )
    except LookupError as exc:
        return lookup_error_response(exc, logger, context="B03 업로드", project_id=project_id)
    except (OSError, ValueError) as exc:
        return JSONResponse(status_code=400, content={"status": "error", "message": str(exc)})
    except Exception:
        logger.exception(
            "B03 업로드 상태 조회 실패: project_id=%s session_id=%s",
            project_id,
            session_id,
        )
        return JSONResponse(
            status_code=500,
            content={"status": "error", "message": "업로드 상태 조회 중 오류가 발생했습니다."},
        )


@router.get("/{project_id}/upload-overview", response_model=UploadOverviewResponse)
async def get_project_upload_overview(
    project_id: UUID,
    session: dict[str, Any] = Depends(verify_session),
) -> UploadOverviewResponse | JSONResponse:
    """B03 재접속 시 업로드 현황(정본) — 완료 파일 목록 + 중단 세션 + 완료 여부.

    localStorage 기반 표시는 캐시를 지우거나 다른 PC로 가면 사라진다(2026-08-04 사용자
    보고). 화면은 진입 시 이 응답을 정본으로 삼고 localStorage는 보조로만 쓴다.
    """
    pool = get_db_pool()
    try:
        async with pool.acquire() as connection:
            files = await list_project_input_files(connection, project_id)
            sessions = await list_incomplete_upload_sessions(connection, project_id)
            file_types, point_cloud_id, _route_csv_id = await get_project_input_readiness(
                connection, project_id
            )
            async with connection.cursor(aiomysql.DictCursor) as cursor:
                state = await get_workflow_state(cursor, str(project_id))
        stages = (state or {}).get("stages") or []
        analysis_complete = any(
            int(stage.get("stage_no", -1)) == 1 and str(stage.get("state")) == "COMPLETE"
            for stage in stages
        )
        # LAS 없는 설계로 stage 0을 마친 프로젝트는 LAS가 없어도 필수 충족으로 본다.
        stage0_complete = any(
            int(stage.get("stage_no", -1)) == 0 and str(stage.get("state")) == "COMPLETE"
            for stage in stages
        )
        return UploadOverviewResponse(
            files=[
                UploadOverviewFile(
                    input_file_id=int(row["id"]),
                    file_type=str(row["file_type"]),
                    original_filename=str(row["original_filename"]),
                    file_size_mb=float(row["file_size_mb"] or 0.0),
                    status=str(row["status"]),
                    uploaded_at=str(row["upload_at"]) if row.get("upload_at") else None,
                    relative_path=(str(row["raw_file_path"]) if row.get("raw_file_path") else None),
                )
                for row in files
            ],
            pending_sessions=[
                UploadOverviewSession(
                    upload_session_id=str(row["id"]),
                    original_filename=str(row["original_filename"]),
                    file_size_bytes=int(row["file_size_bytes"]),
                    total_chunks=int(row["total_chunks"]),
                    completed_chunks=int(row["completed_chunks"]),
                    progress_percent=round(
                        100.0 * int(row["completed_chunks"]) / max(1, int(row["total_chunks"])), 1
                    ),
                    updated_at=str(row["updated_at"]) if row.get("updated_at") else None,
                )
                for row in sessions
            ],
            required_complete=_REQUIRED_FILE_TYPES <= file_types
            and (point_cloud_id is not None or stage0_complete),
            analysis_complete=analysis_complete,
        )
    except Exception:
        logger.exception("B03 업로드 현황 조회 실패: project_id=%s", project_id)
        return JSONResponse(
            status_code=500,
            content={"status": "error", "message": "업로드 현황 조회 중 오류가 발생했습니다."},
        )


@router.get("/{project_id}/workflow-state")
async def get_project_workflow_state(project_id: str):
    pool = get_db_pool()
    async with pool.acquire() as connection, connection.cursor(aiomysql.DictCursor) as cursor:
        state = await get_workflow_state(cursor, project_id)
        return {"status": "success", "workflow_state": state}