refactor(B03): 파일 입력 라우터 700줄 초과 분리 — 보조·청크 업로드

872줄 한 파일을 셋으로 나눔 (동작 불변, 순수 분리).
- `B03_FileInput_Router.py` 309줄 — 파일 업로드·현황·워크플로 엔드포인트
- `B03_FileInput_Router_Chunks.py` 390줄 — 세션 생성·조각 전송·마무리·진행 조회
  (자체 APIRouter 를 본체가 `include_router` 로 붙여 경로 문자열 불변)
- `B03_FileInput_Router_Helpers.py` 268줄 — 필수 파일 판정·중복 지문 판별·단계 기록·알림

검증: 라우트 7개 경로·메서드 동일(`GET upload-overview|upload-status|workflow-state`,
`POST files|upload-sessions|chunks|finalize`), 공용 브라우저에서 노선 5종 실제 업로드 성공
(shp metadata preview_path 포함), ruff check 통과, tmp/tests 378 passed

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-09-04 10:15:19 +09:00
co-authored by Claude Opus 5
parent 3b89ba4fac
commit c4aac6f299
3 changed files with 667 additions and 577 deletions
+11 -577
View File
@@ -5,302 +5,59 @@ import json
import logging
from pathlib import Path
from typing import Any
from uuid import UUID, uuid4
from uuid import UUID
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_Chunks import router as chunk_router
from B03_FileInput.B03_FileInput_Router_Errors import lookup_error_response
from B03_FileInput.B03_FileInput_Router_Helpers import (
_REQUIRED_FILE_TYPES,
_complete_file_input_if_ready,
_missing_required_file_types,
_schedule_background_task,
_write_stage_metadata,
)
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,
)
# 청크 업로드 엔드포인트는 파일이 700줄을 넘어 떼어냈다(2026-09-04) — 경로는 그대로다.
router.include_router(chunk_router)
@router.post("/{project_id}/files", response_model=FileUploadResponse)
@@ -458,329 +215,6 @@ async def upload_project_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."},
)
def _parse_metadata(raw: Any) -> dict[str, Any] | None:
"""DB에 JSON 문자열로 저장된 분석 메타데이터를 dict로 돌린다(깨지면 생략)."""
if isinstance(raw, dict):
@@ -0,0 +1,389 @@
"""B03 청크 업로드 엔드포인트 — 세션 생성·조각 전송·마무리·진행 조회.
라우터 본체(`B03_FileInput_Router.py`)가 700줄을 넘어 떼어낸 조각이다(2026-09-04).
경로·태그는 본체와 같다 — 본체가 `include_router` 로 붙여 URL 이 그대로 유지된다.
"""
import asyncio
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_Engine import (
merge_upload_chunks,
remove_chunk_session,
resolve_chunk_session_dir,
save_upload_chunk,
)
from B03_FileInput.B03_FileInput_Engine_Analyze import analyze_input_metadata
from B03_FileInput.B03_FileInput_Repository import (
create_input_file,
create_upload_session,
get_project_storage_relative_path,
get_upload_session,
list_completed_chunk_indexes,
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_Router_Helpers import (
_ANALYSIS_RUNNING_MESSAGE,
_already_uploaded,
_complete_file_input_if_ready,
_schedule_background_task,
_total_chunks,
_write_stage_metadata,
)
from B03_FileInput.B03_FileInput_Schema import (
ChunkSessionCreateRequest,
ChunkSessionCreateResponse,
ChunkUploadResponse,
FileUploadDescriptor,
FileUploadResponse,
UploadedFileResult,
UploadFinalizeRequest,
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_storage import resolve_stored_project_path
from common_util.common_util_workflow_state import (
is_analysis_running,
)
from config.config_db import get_db_pool
from config.config_system import (
UPLOAD_CHUNK_SIZE_BYTES,
)
logger = logging.getLogger(__name__)
router = APIRouter(tags=["B03 File Input"])
@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."},
)
@@ -0,0 +1,267 @@
"""B03 파일 입력 라우터 보조 — 필수 파일 판정·중복 업로드 판별·단계 기록·알림.
라우터 본체(`B03_FileInput_Router.py`)가 700줄을 넘어 떼어낸 조각이다(2026-09-04).
엔드포인트는 두지 않는다 — 순수 보조 함수와 파일 종류 상수만 둔다.
"""
import asyncio
import json
import logging
from pathlib import Path
from typing import Any
from uuid import UUID
import aiomysql
from B03_FileInput.B03_FileInput_Email import (
send_file_upload_complete_email,
)
from B03_FileInput.B03_FileInput_Repository import (
find_input_file_by_name,
get_project_input_readiness,
get_project_storage_relative_path,
)
from B03_FileInput.B03_FileInput_Schema import (
ChunkSessionCreateRequest,
ChunkSessionCreateResponse,
UploadedFileResult,
)
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_state import (
complete_stage,
reset_stages_after_input_change,
)
from config.config_db import get_db_pool
logger = logging.getLogger(__name__)
_ANALYSIS_RUNNING_MESSAGE = "이 프로젝트는 지금 분석 중입니다. 끝난 뒤에 새 자료를 올려 주세요."
_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,
)