b9442928da
분류기 개선사항: 1. ELL-O-LET vs 일반 엘보 분류 개선 - OLET 우선순위 확인 로직 추가 - ELL 키워드 충돌 문제 해결 2. 엘보 서브타입 강화 - 90DEG_LONG_RADIUS, 90DEG_SHORT_RADIUS 등 조합형 추가 - 더 구체적인 키워드 패턴 지원 3. 레듀스 플랜지 분류 개선 - REDUCING FLANGE가 FITTING이 아닌 FLANGE로 분류되도록 수정 - 특별 우선순위 로직 추가 4. 90 ELL SW 분류 문제 해결 - fitting_keywords에 ELL 키워드 추가 - ELBOW description_keywords에 ELL, 90 ELL, 45 ELL 추가 기술적 개선: - 키워드 우선순위 체계 강화 - 구체적인 패턴 매칭 개선 - 분류 신뢰도 향상 플랜지 카테고리 개선: - 타입 풀네임 표시 (WN → WELD NECK FLANGE) - 끝단처리 별도 컬럼 추가 (RF → RAISED FACE) - 엑셀 내보내기 구조 개선 (P열 납기일, 관리항목 4개)
613 lines
24 KiB
Python
613 lines
24 KiB
Python
"""
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구매신청 관리 API
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"""
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from fastapi import APIRouter, Depends, HTTPException, status
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from typing import Optional, List, Dict
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from datetime import datetime
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import os
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import json
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from ..database import get_db
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from ..auth.middleware import get_current_user
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from ..utils.logger import get_logger
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logger = get_logger(__name__)
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router = APIRouter(prefix="/purchase-request", tags=["Purchase Request"])
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# 엑셀 파일 저장 경로
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EXCEL_DIR = "exports"
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os.makedirs(EXCEL_DIR, exist_ok=True)
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class PurchaseRequestCreate(BaseModel):
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file_id: int
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job_no: Optional[str] = None
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category: Optional[str] = None
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material_ids: List[int] = []
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materials_data: List[Dict] = []
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grouped_materials: Optional[List[Dict]] = [] # 그룹화된 자재 정보
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@router.post("/create")
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async def create_purchase_request(
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request_data: PurchaseRequestCreate,
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current_user: dict = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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구매신청 생성 (엑셀 내보내기 = 구매신청)
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"""
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try:
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# 구매신청 번호 생성
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today = datetime.now().strftime('%Y%m%d')
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count_query = text("""
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SELECT COUNT(*) as count
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FROM purchase_requests
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WHERE request_no LIKE :pattern
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""")
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count = db.execute(count_query, {"pattern": f"PR-{today}%"}).fetchone().count
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request_no = f"PR-{today}-{str(count + 1).zfill(3)}"
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# 자재 데이터를 JSON과 엑셀 파일로 저장
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json_filename = f"{request_no}.json"
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excel_filename = f"{request_no}.xlsx"
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json_path = os.path.join(EXCEL_DIR, json_filename)
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excel_path = os.path.join(EXCEL_DIR, excel_filename)
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# JSON 저장
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save_materials_data(
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request_data.materials_data,
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json_path,
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request_no,
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request_data.job_no,
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request_data.grouped_materials # 그룹화 정보 추가
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)
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# 엑셀 파일 생성 및 저장
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create_excel_file(
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request_data.grouped_materials or request_data.materials_data,
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excel_path,
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request_no,
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request_data.job_no
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)
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# 구매신청 레코드 생성
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insert_request = text("""
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INSERT INTO purchase_requests (
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request_no, file_id, job_no, category,
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material_count, excel_file_path, requested_by
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) VALUES (
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:request_no, :file_id, :job_no, :category,
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:material_count, :excel_file_path, :requested_by
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) RETURNING request_id
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""")
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result = db.execute(insert_request, {
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"request_no": request_no,
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"file_id": request_data.file_id,
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"job_no": request_data.job_no,
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"category": request_data.category,
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"material_count": len(request_data.material_ids),
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"excel_file_path": excel_filename, # 엑셀 파일명 저장 (JSON 대신)
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"requested_by": current_user.get("user_id")
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})
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request_id = result.fetchone().request_id
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# 구매신청 자재 상세 저장
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logger.info(f"Processing {len(request_data.material_ids)} material IDs for purchase request {request_no}")
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logger.info(f"First 10 Material IDs: {request_data.material_ids[:10]}") # 처음 10개만 로그
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logger.info(f"Category: {request_data.category}, Job: {request_data.job_no}")
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inserted_count = 0
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for i, material_id in enumerate(request_data.material_ids):
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material_data = request_data.materials_data[i] if i < len(request_data.materials_data) else {}
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# 이미 구매신청된 자재인지 확인
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check_existing = text("""
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SELECT 1 FROM purchase_request_items
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WHERE material_id = :material_id
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""")
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existing = db.execute(check_existing, {"material_id": material_id}).fetchone()
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if not existing:
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insert_item = text("""
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INSERT INTO purchase_request_items (
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request_id, material_id, quantity, unit, user_requirement
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) VALUES (
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:request_id, :material_id, :quantity, :unit, :user_requirement
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)
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""")
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# quantity를 정수로 변환 (소수점 제거)
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quantity_str = str(material_data.get("quantity", 0))
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try:
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quantity = int(float(quantity_str))
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except (ValueError, TypeError):
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quantity = 0
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db.execute(insert_item, {
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"request_id": request_id,
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"material_id": material_id,
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"quantity": quantity,
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"unit": material_data.get("unit", ""),
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"user_requirement": material_data.get("user_requirement", "")
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})
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inserted_count += 1
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else:
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logger.warning(f"Material {material_id} already in another purchase request, skipping")
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db.commit()
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logger.info(f"Purchase request created: {request_no} with {inserted_count} materials (out of {len(request_data.material_ids)} requested)")
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# 실제 저장된 자재 확인
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verify_query = text("""
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SELECT COUNT(*) as count FROM purchase_request_items WHERE request_id = :request_id
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""")
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verified_count = db.execute(verify_query, {"request_id": request_id}).fetchone().count
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logger.info(f"✅ DB 검증: purchase_request_items에 {verified_count}개 저장됨")
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return {
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"success": True,
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"request_no": request_no,
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"request_id": request_id,
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"material_count": len(request_data.material_ids),
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"inserted_count": inserted_count,
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"verified_count": verified_count,
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"message": f"구매신청 {request_no}이 생성되었습니다"
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}
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except Exception as e:
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db.rollback()
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logger.error(f"Failed to create purchase request: {str(e)}")
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raise HTTPException(
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status_code=500,
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detail=f"구매신청 생성 실패: {str(e)}"
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)
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@router.get("/list")
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async def get_purchase_requests(
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file_id: Optional[int] = None,
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job_no: Optional[str] = None,
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status: Optional[str] = None,
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# current_user: dict = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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구매신청 목록 조회
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"""
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try:
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query = text("""
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SELECT
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pr.request_id,
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pr.request_no,
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pr.file_id,
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pr.job_no,
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pr.category,
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pr.material_count,
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pr.excel_file_path,
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pr.requested_at,
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pr.status,
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u.name as requested_by,
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f.original_filename,
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j.job_name,
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COUNT(pri.item_id) as item_count
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FROM purchase_requests pr
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LEFT JOIN users u ON pr.requested_by = u.user_id
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LEFT JOIN files f ON pr.file_id = f.id
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LEFT JOIN jobs j ON pr.job_no = j.job_no
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LEFT JOIN purchase_request_items pri ON pr.request_id = pri.request_id
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WHERE 1=1
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AND (:file_id IS NULL OR pr.file_id = :file_id)
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AND (:job_no IS NULL OR pr.job_no = :job_no)
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AND (:status IS NULL OR pr.status = :status)
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GROUP BY
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pr.request_id, pr.request_no, pr.file_id, pr.job_no,
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pr.category, pr.material_count, pr.excel_file_path,
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pr.requested_at, pr.status, u.name, f.original_filename, j.job_name
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ORDER BY pr.requested_at DESC
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""")
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results = db.execute(query, {
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"file_id": file_id,
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"job_no": job_no,
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"status": status
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}).fetchall()
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requests = []
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for row in results:
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requests.append({
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"request_id": row.request_id,
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"request_no": row.request_no,
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"file_id": row.file_id,
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"job_no": row.job_no,
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"job_name": row.job_name,
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"category": row.category,
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"material_count": row.material_count,
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"item_count": row.item_count,
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"excel_file_path": row.excel_file_path,
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"requested_at": row.requested_at.isoformat() if row.requested_at else None,
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"status": row.status,
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"requested_by": row.requested_by,
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"source_file": row.original_filename
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})
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return {
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"success": True,
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"requests": requests,
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"count": len(requests)
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}
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except Exception as e:
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logger.error(f"Failed to get purchase requests: {str(e)}")
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raise HTTPException(
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status_code=500,
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detail=f"구매신청 목록 조회 실패: {str(e)}"
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)
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@router.get("/{request_id}/materials")
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async def get_request_materials(
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request_id: int,
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# current_user: dict = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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구매신청에 포함된 자재 목록 조회 (그룹화 정보 포함)
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"""
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try:
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# 구매신청 정보 조회하여 JSON 파일 경로 가져오기
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info_query = text("""
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SELECT excel_file_path
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FROM purchase_requests
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WHERE request_id = :request_id
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""")
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info_result = db.execute(info_query, {"request_id": request_id}).fetchone()
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grouped_materials = []
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if info_result and info_result.excel_file_path:
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json_path = os.path.join(EXCEL_DIR, info_result.excel_file_path)
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if os.path.exists(json_path):
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try:
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with open(json_path, 'r', encoding='utf-8', errors='ignore') as f:
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data = json.load(f)
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grouped_materials = data.get("grouped_materials", [])
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except Exception as e:
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print(f"⚠️ JSON 파일 읽기 오류 (무시): {e}")
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grouped_materials = []
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# 개별 자재 정보 조회 (기존 코드)
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query = text("""
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SELECT
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pri.item_id,
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pri.material_id,
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pri.quantity as requested_quantity,
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pri.unit as requested_unit,
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pri.user_requirement,
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pri.is_ordered,
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pri.is_received,
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m.original_description,
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m.classified_category,
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m.size_spec,
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m.main_nom,
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m.red_nom,
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m.schedule,
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m.material_grade,
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m.full_material_grade,
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m.quantity as original_quantity,
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m.unit as original_unit,
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m.classification_details,
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pd.outer_diameter, pd.schedule as pipe_schedule, pd.material_spec, pd.manufacturing_method,
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pd.end_preparation, pd.length_mm,
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fd.fitting_type, fd.fitting_subtype, fd.connection_method as fitting_connection,
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fd.pressure_rating as fitting_pressure, fd.schedule as fitting_schedule,
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fld.flange_type, fld.facing_type,
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fld.pressure_rating as flange_pressure,
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gd.gasket_type, gd.gasket_subtype, gd.material_type as gasket_material,
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gd.filler_material, gd.pressure_rating as gasket_pressure, gd.thickness as gasket_thickness,
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bd.bolt_type, bd.material_standard as bolt_material, bd.length as bolt_length
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FROM purchase_request_items pri
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JOIN materials m ON pri.material_id = m.id
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LEFT JOIN pipe_details pd ON m.id = pd.material_id
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LEFT JOIN fitting_details fd ON m.id = fd.material_id
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LEFT JOIN flange_details fld ON m.id = fld.material_id
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LEFT JOIN gasket_details gd ON m.id = gd.material_id
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LEFT JOIN bolt_details bd ON m.id = bd.material_id
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WHERE pri.request_id = :request_id
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ORDER BY m.classified_category, m.original_description
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""")
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# 🎯 데이터베이스 쿼리 실행
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results = db.execute(query, {"request_id": request_id}).fetchall()
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materials = []
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# 🎯 안전한 문자열 변환 함수
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def safe_str(value):
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if value is None:
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return ''
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try:
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if isinstance(value, bytes):
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return value.decode('utf-8', errors='ignore')
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return str(value)
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except Exception:
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return str(value) if value else ''
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for row in results:
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try:
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# quantity를 정수로 변환 (소수점 제거)
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qty = row.requested_quantity or row.original_quantity
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try:
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qty_int = int(float(qty)) if qty else 0
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except (ValueError, TypeError):
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qty_int = 0
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# 안전한 문자열 변환
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original_description = safe_str(row.original_description)
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size_spec = safe_str(row.size_spec)
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material_grade = safe_str(row.material_grade)
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full_material_grade = safe_str(row.full_material_grade)
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user_requirement = safe_str(row.user_requirement)
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except Exception as e:
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# 오류 발생 시 기본값 사용
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qty_int = 0
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original_description = ''
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size_spec = ''
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material_grade = ''
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full_material_grade = ''
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user_requirement = ''
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# BOM 페이지와 동일한 형식으로 데이터 구성
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material_dict = {
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"item_id": row.item_id,
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"material_id": row.material_id,
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"id": row.material_id,
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"original_description": original_description,
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"classified_category": safe_str(row.classified_category),
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"size_spec": size_spec,
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"size_inch": safe_str(row.main_nom),
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"main_nom": safe_str(row.main_nom),
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"red_nom": safe_str(row.red_nom),
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"schedule": safe_str(row.schedule),
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"material_grade": material_grade,
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"full_material_grade": full_material_grade,
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"quantity": qty_int,
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"unit": safe_str(row.requested_unit or row.original_unit),
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"user_requirement": user_requirement,
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"is_ordered": row.is_ordered,
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"is_received": row.is_received,
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"classification_details": safe_str(row.classification_details)
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}
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# 카테고리별 상세 정보 추가 (안전한 문자열 처리)
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if row.classified_category == 'PIPE' and row.manufacturing_method:
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material_dict["pipe_details"] = {
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"manufacturing_method": safe_str(row.manufacturing_method),
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"schedule": safe_str(row.pipe_schedule),
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"material_spec": safe_str(row.material_spec),
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"end_preparation": safe_str(row.end_preparation),
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"length_mm": row.length_mm
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}
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elif row.classified_category == 'FITTING' and row.fitting_type:
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material_dict["fitting_details"] = {
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"fitting_type": safe_str(row.fitting_type),
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"fitting_subtype": safe_str(row.fitting_subtype),
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"connection_method": safe_str(row.fitting_connection),
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"pressure_rating": safe_str(row.fitting_pressure),
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"schedule": safe_str(row.fitting_schedule)
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}
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elif row.classified_category == 'FLANGE' and row.flange_type:
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material_dict["flange_details"] = {
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"flange_type": safe_str(row.flange_type),
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"facing_type": safe_str(row.facing_type),
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"pressure_rating": safe_str(row.flange_pressure)
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}
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elif row.classified_category == 'GASKET' and row.gasket_type:
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material_dict["gasket_details"] = {
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"gasket_type": safe_str(row.gasket_type),
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"gasket_subtype": safe_str(row.gasket_subtype),
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"material_type": safe_str(row.gasket_material),
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"filler_material": safe_str(row.filler_material),
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"pressure_rating": safe_str(row.gasket_pressure),
|
|
"thickness": safe_str(row.gasket_thickness)
|
|
}
|
|
elif row.classified_category == 'BOLT' and row.bolt_type:
|
|
material_dict["bolt_details"] = {
|
|
"bolt_type": safe_str(row.bolt_type),
|
|
"material_standard": safe_str(row.bolt_material),
|
|
"length": safe_str(row.bolt_length)
|
|
}
|
|
|
|
materials.append(material_dict)
|
|
|
|
return {
|
|
"success": True,
|
|
"materials": materials,
|
|
"grouped_materials": grouped_materials, # 그룹화 정보 추가
|
|
"count": len(grouped_materials) if grouped_materials else len(materials)
|
|
}
|
|
|
|
except Exception as e:
|
|
logger.error(f"Failed to get request materials: {str(e)}")
|
|
raise HTTPException(
|
|
status_code=500,
|
|
detail=f"구매신청 자재 조회 실패: {str(e)}"
|
|
)
|
|
|
|
|
|
@router.get("/{request_id}/download-excel")
|
|
async def download_request_excel(
|
|
request_id: int,
|
|
# current_user: dict = Depends(get_current_user),
|
|
db: Session = Depends(get_db)
|
|
):
|
|
"""
|
|
구매신청 엑셀 파일 직접 다운로드 (BOM 페이지에서 생성한 파일 그대로)
|
|
"""
|
|
from fastapi.responses import FileResponse
|
|
|
|
try:
|
|
# 구매신청 정보 조회
|
|
query = text("""
|
|
SELECT request_no, excel_file_path, job_no
|
|
FROM purchase_requests
|
|
WHERE request_id = :request_id
|
|
""")
|
|
result = db.execute(query, {"request_id": request_id}).fetchone()
|
|
|
|
if not result:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="구매신청을 찾을 수 없습니다"
|
|
)
|
|
|
|
excel_file_path = os.path.join(EXCEL_DIR, result.excel_file_path)
|
|
|
|
if not os.path.exists(excel_file_path):
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="엑셀 파일을 찾을 수 없습니다"
|
|
)
|
|
|
|
# 엑셀 파일 직접 다운로드
|
|
return FileResponse(
|
|
path=excel_file_path,
|
|
filename=f"{result.job_no}_{result.request_no}.xlsx",
|
|
media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
|
|
)
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.error(f"Failed to download request excel: {str(e)}")
|
|
raise HTTPException(
|
|
status_code=500,
|
|
detail=f"엑셀 다운로드 실패: {str(e)}"
|
|
)
|
|
|
|
|
|
def save_materials_data(materials_data: List[Dict], file_path: str, request_no: str, job_no: str, grouped_materials: List[Dict] = None):
|
|
"""
|
|
자재 데이터를 JSON으로 저장 (프론트엔드에서 동일한 엑셀 포맷으로 생성하기 위해)
|
|
"""
|
|
# 수량을 정수로 변환하여 저장
|
|
cleaned_materials = []
|
|
for material in materials_data:
|
|
cleaned_material = material.copy()
|
|
if 'quantity' in cleaned_material:
|
|
try:
|
|
cleaned_material['quantity'] = int(float(cleaned_material['quantity']))
|
|
except (ValueError, TypeError):
|
|
cleaned_material['quantity'] = 0
|
|
cleaned_materials.append(cleaned_material)
|
|
|
|
# 그룹화된 자재도 수량 정수 변환
|
|
cleaned_grouped = []
|
|
if grouped_materials:
|
|
for group in grouped_materials:
|
|
cleaned_group = group.copy()
|
|
if 'quantity' in cleaned_group:
|
|
try:
|
|
cleaned_group['quantity'] = int(float(cleaned_group['quantity']))
|
|
except (ValueError, TypeError):
|
|
cleaned_group['quantity'] = 0
|
|
cleaned_grouped.append(cleaned_group)
|
|
|
|
data_to_save = {
|
|
"request_no": request_no,
|
|
"job_no": job_no,
|
|
"created_at": datetime.now().isoformat(),
|
|
"materials": cleaned_materials,
|
|
"grouped_materials": cleaned_grouped or []
|
|
}
|
|
|
|
with open(file_path, 'w', encoding='utf-8') as f:
|
|
json.dump(data_to_save, f, ensure_ascii=False, indent=2)
|
|
|
|
|
|
def create_excel_file(materials_data: List[Dict], file_path: str, request_no: str, job_no: str):
|
|
"""
|
|
자재 데이터로 엑셀 파일 생성 (BOM 페이지와 동일한 형식)
|
|
"""
|
|
import openpyxl
|
|
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
|
|
|
# 새 워크북 생성
|
|
wb = openpyxl.Workbook()
|
|
wb.remove(wb.active) # 기본 시트 제거
|
|
|
|
# 카테고리별 그룹화
|
|
category_groups = {}
|
|
for material in materials_data:
|
|
category = material.get('category', 'UNKNOWN')
|
|
if category not in category_groups:
|
|
category_groups[category] = []
|
|
category_groups[category].append(material)
|
|
|
|
# 각 카테고리별 시트 생성
|
|
for category, items in category_groups.items():
|
|
if not items:
|
|
continue
|
|
|
|
ws = wb.create_sheet(title=category)
|
|
|
|
# 헤더 정의 (P열에 납기일, 관리항목 통일)
|
|
headers = ['TAGNO', '품목명', '수량', '통화구분', '단가', '크기', '압력등급', '스케줄',
|
|
'재질', '상세내역', '사용자요구', '관리항목1', '관리항목2', '관리항목3',
|
|
'관리항목4', '납기일(YYYY-MM-DD)', '관리항목5', '관리항목6', '관리항목7',
|
|
'관리항목8', '관리항목9', '관리항목10']
|
|
|
|
# 헤더 작성
|
|
for col, header in enumerate(headers, 1):
|
|
cell = ws.cell(row=1, column=col, value=header)
|
|
cell.font = Font(bold=True, color="000000", size=12, name="맑은 고딕")
|
|
cell.fill = PatternFill(start_color="B3D9FF", end_color="B3D9FF", fill_type="solid")
|
|
cell.alignment = Alignment(horizontal="center", vertical="center")
|
|
cell.border = Border(
|
|
top=Side(style="thin", color="666666"),
|
|
bottom=Side(style="thin", color="666666"),
|
|
left=Side(style="thin", color="666666"),
|
|
right=Side(style="thin", color="666666")
|
|
)
|
|
|
|
# 데이터 작성
|
|
for row_idx, material in enumerate(items, 2):
|
|
data = [
|
|
'', # TAGNO
|
|
category, # 품목명
|
|
material.get('quantity', 0), # 수량
|
|
'KRW', # 통화구분
|
|
1, # 단가
|
|
material.get('size', '-'), # 크기
|
|
'-', # 압력등급 (추후 개선)
|
|
material.get('schedule', '-'), # 스케줄
|
|
material.get('material_grade', '-'), # 재질
|
|
'-', # 상세내역 (추후 개선)
|
|
material.get('user_requirement', ''), # 사용자요구
|
|
'', '', '', '', '', # 관리항목들
|
|
datetime.now().strftime('%Y-%m-%d') # 납기일
|
|
]
|
|
|
|
for col, value in enumerate(data, 1):
|
|
ws.cell(row=row_idx, column=col, value=value)
|
|
|
|
# 컬럼 너비 자동 조정
|
|
for column in ws.columns:
|
|
max_length = 0
|
|
column_letter = column[0].column_letter
|
|
for cell in column:
|
|
try:
|
|
if len(str(cell.value)) > max_length:
|
|
max_length = len(str(cell.value))
|
|
except:
|
|
pass
|
|
adjusted_width = min(max(max_length + 2, 10), 50)
|
|
ws.column_dimensions[column_letter].width = adjusted_width
|
|
|
|
# 파일 저장
|
|
wb.save(file_path)
|