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This commit is contained in:
Jimmy
684
web_ui/app.py
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684
web_ui/app.py
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@@ -0,0 +1,684 @@
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from flask import Flask, render_template, jsonify, request
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import sqlite3
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import subprocess
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from pathlib import Path
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import sys
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import os
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import io
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import contextlib
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import logging
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import threading
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import time
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import webbrowser
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from apscheduler.schedulers.background import BackgroundScheduler
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def get_base_dir():
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"""获取程序运行时的基础目录（静态资源、脚本代码等只读文件存放处）"""
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if getattr(sys, 'frozen', False):
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return Path(sys._MEIPASS)
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return Path(__file__).parent.parent
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def get_data_dir():
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"""获取持久化数据存放目录（数据库、输出文件等，保证重启不丢失）"""
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if getattr(sys, 'frozen', False):
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return Path(os.path.dirname(sys.executable))
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return Path(__file__).parent.parent
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BASE_DIR = get_base_dir()
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DATA_DIR = get_data_dir()
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# Web 资源路径 (在 PyInstaller _MEIPASS 目录中)
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TEMPLATE_DIR = BASE_DIR / "web_ui" / "templates"
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STATIC_DIR = BASE_DIR / "web_ui" / "static"
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app = Flask(__name__, template_folder=str(TEMPLATE_DIR), static_folder=str(STATIC_DIR))
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# 数据库路径：指向外部持久化数据目录，确保数据不丢失
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DB_PATH = DATA_DIR / "browser_login" / "output" / "erp_data.db"
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DB_PATH.parent.mkdir(parents=True, exist_ok=True)
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# 抓取脚本目录 (属于代码文件，从 BASE_DIR 加载)
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BROWSER_LOGIN_DIR = BASE_DIR / "browser_login"
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def background_sync_job():
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"""APScheduler 后台定时任务执行增量抓取"""
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print("[定时任务] 正在执行后台增量数据同步...")
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if str(BROWSER_LOGIN_DIR) not in sys.path:
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sys.path.insert(0, str(BROWSER_LOGIN_DIR))
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try:
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from fetch_receipt_details_incremental import fetch_receipt_details_incremental
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# 重定向输出，避免污染终端，同时捕获可能的信息
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f = io.StringIO()
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with contextlib.redirect_stdout(f), contextlib.redirect_stderr(f):
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fetch_receipt_details_incremental()
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print(f"[定时任务] 同步完成。")
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except Exception as e:
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print(f"[定时任务] 同步失败: {str(e)}")
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# 初始化定时调度器
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scheduler = BackgroundScheduler()
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scheduler.add_job(func=background_sync_job, trigger="interval", minutes=30)
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# 启动调度器
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scheduler.start()
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# 确保在应用退出时关闭调度器
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import atexit
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atexit.register(lambda: scheduler.shutdown())
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def get_db_connection():
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"""获取数据库连接"""
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conn = sqlite3.connect(DB_PATH)
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# 将查询结果转换为字典形式
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conn.row_factory = sqlite3.Row
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return conn
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@app.route('/')
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def index():
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"""渲染导航主页"""
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return render_template('home.html')
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@app.route('/receipts')
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def receipts_page():
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"""渲染收货明细数据看板"""
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return render_template('index.html')
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@app.route('/api/receipts')
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def get_receipts():
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"""获取收货明细数据（支持分页和多条件搜索）"""
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page = int(request.args.get('page', 1))
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limit = int(request.args.get('limit', 50))
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offset = (page - 1) * limit
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# 获取搜索参数
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supplier_name = request.args.get('supplier_name', '').strip()
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material_name = request.args.get('material_name', '').strip()
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po_code = request.args.get('po_code', '').strip()
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conn = get_db_connection()
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# 构建动态 SQL 查询
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query_conditions = []
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params = []
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if supplier_name:
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query_conditions.append("supplier_name LIKE ?")
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params.append(f"%{supplier_name}%")
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if material_name:
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query_conditions.append("material_name LIKE ?")
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params.append(f"%{material_name}%")
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if po_code:
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query_conditions.append("purchase_order_code LIKE ?")
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params.append(f"%{po_code}%")
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where_clause = ""
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if query_conditions:
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where_clause = " WHERE " + " AND ".join(query_conditions)
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# 获取总数
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count_query = f"SELECT COUNT(*) FROM receipt_details{where_clause}"
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total = conn.execute(count_query, params).fetchone()[0]
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# 获取分页数据
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data_query = f"SELECT * FROM receipt_details{where_clause} ORDER BY receipt_time DESC LIMIT ? OFFSET ?"
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params.extend([limit, offset])
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receipts = conn.execute(data_query, params).fetchall()
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conn.close()
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return jsonify({
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"total": total,
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"rows": [dict(ix) for ix in receipts]
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})
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@app.route('/api/sync_receipts', methods=['POST'])
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def sync_receipts():
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"""触发后台运行收货明细增量抓取脚本（修复跨机器路径问题）"""
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import sys
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import io
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import contextlib
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if str(BROWSER_LOGIN_DIR) not in sys.path:
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sys.path.insert(0, str(BROWSER_LOGIN_DIR))
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try:
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from fetch_receipt_details_incremental import fetch_receipt_details_incremental
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# 捕获函数内部的 print/log 输出
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f = io.StringIO()
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with contextlib.redirect_stdout(f), contextlib.redirect_stderr(f):
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fetch_receipt_details_incremental()
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logs = f.getvalue()
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return jsonify({
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"success": True,
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"message": "增量同步执行完成",
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"logs": logs
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})
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except ImportError:
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return jsonify({"success": False, "message": "找不到增量抓取脚本或导入失败"}), 404
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except Exception as e:
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return jsonify({"success": False, "message": f"系统错误: {str(e)}"}), 500
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@app.route('/api/sync_bom', methods=['POST'])
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def sync_bom():
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"""触发后台运行 BOM 成本全量抓取脚本（修复跨机器路径问题）"""
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import sys
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import io
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import contextlib
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if str(BROWSER_LOGIN_DIR) not in sys.path:
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sys.path.insert(0, str(BROWSER_LOGIN_DIR))
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try:
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from fetch_bom_cost_full_tree import fetch_bom_cost_tree
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# 捕获函数内部的 print/log 输出
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f = io.StringIO()
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with contextlib.redirect_stdout(f), contextlib.redirect_stderr(f):
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fetch_bom_cost_tree()
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logs = f.getvalue()
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return jsonify({
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"success": True,
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"message": "BOM 同步执行完成",
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"logs": logs
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})
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except ImportError:
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return jsonify({"success": False, "message": "找不到 BOM 抓取脚本或导入失败"}), 404
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except Exception as e:
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return jsonify({"success": False, "message": f"系统错误: {str(e)}"}), 500
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@app.route('/bom')
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def bom_page():
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"""渲染 BOM 成本树状图页面"""
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return render_template('bom_tree.html')
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@app.route('/api/bom_parents')
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def get_bom_parents():
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"""获取所有父件列表，供左侧菜单选择"""
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keyword = request.args.get('keyword', '').strip()
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conn = get_db_connection()
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if keyword:
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parents = conn.execute(
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'SELECT parent_material_code, parent_material_name FROM bom_parent WHERE parent_material_name LIKE ? OR parent_material_code LIKE ? LIMIT 100',
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(f'%{keyword}%', f'%{keyword}%')
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).fetchall()
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else:
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parents = conn.execute('SELECT parent_material_code, parent_material_name FROM bom_parent LIMIT 100').fetchall()
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conn.close()
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return jsonify([dict(ix) for ix in parents])
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def calculate_bom_cost(node, prices_dict):
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"""
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递归计算 BOM 树的成本。
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如果该节点是叶子节点（底层采购件），直接从 prices_dict 取价格。
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如果该节点是中间组件/父件，则成本为其所有子节点成本的总和。
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注意：这里假设每个物料数量为 1。如果你的 ERP 数据里有 BOM 用量(quantity)字段，
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应该用 `子件单价 * 用量` 进行累加。由于目前只抓了基本结构，先做单纯的层级累加。
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"""
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node_cost = 0.0
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# 获取该物料的最新采购单价（默认为 0）
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price_record = prices_dict.get(node['materialCode'])
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own_price = price_record['receive_price'] if price_record and isinstance(price_record['receive_price'], (int, float)) else 0.0
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if not node.get('children'):
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# 叶子节点，直接使用自己的采购价
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node_cost = own_price
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else:
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# 有子件的组件，成本等于所有子件成本的累加
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for child in node['children']:
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node_cost += calculate_bom_cost(child, prices_dict)
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# 兜底机制：如果在 ERP 里这是一个组件，但没查到子件成本（比如没抓全），
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# 则尝试看看它自己有没有直接的采购记录
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if node_cost == 0.0 and own_price > 0:
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node_cost = own_price
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# 把计算出来的汇总成本和自身单价都挂载到节点上，供前端使用
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node['totalCost'] = round(node_cost, 2)
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node['ownPrice'] = round(own_price, 2)
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# 如果有采购记录，把时间和单号也带上
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if price_record:
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node['receiptTime'] = price_record['receipt_time']
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node['poCode'] = price_record['purchase_order_code']
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node['supplierName'] = price_record['supplier_name']
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else:
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node['receiptTime'] = '-'
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node['poCode'] = '-'
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node['supplierName'] = '-'
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return node_cost
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@app.route('/api/bom_tree/<parent_code>')
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def get_bom_tree(parent_code):
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"""根据父件代码，组装其下所有的子件，并计算整个 BOM 树的累加成本"""
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conn = get_db_connection()
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# 1. 查出该父件的基本信息作为根节点
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parent_info = conn.execute(
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'SELECT parent_material_code, parent_material_name FROM bom_parent WHERE parent_material_code = ?',
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(parent_code,)
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).fetchone()
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if not parent_info:
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conn.close()
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return jsonify({"error": "找不到该父件"}), 404
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# 2. 查出该家族的所有子件
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children_records = conn.execute(
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'SELECT id, node_material_code, node_material_name, parent_node_id, bom_level, usage_qty FROM bom_child WHERE parent_material_code = ?',
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(parent_code,)
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).fetchall()
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# 3. 提前批量查出这棵树里所有物料的【最新采购价】
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# 避免前端每次点击都去查一次，也为了在后端能直接算好总成本
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material_codes = [row['node_material_code'] for row in children_records]
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material_codes.append(parent_info['parent_material_code'])
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prices_dict = {}
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if material_codes:
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# 使用 IN 语句批量查询，并按物料分组取最新时间的价格
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placeholders = ','.join(['?'] * len(material_codes))
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# SQLite 分组取最新记录的经典写法
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price_records = conn.execute(f'''
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SELECT material_code,
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ROUND(COALESCE(total_amount / NULLIF(receive_qty, 0), receive_price, 0), 2) AS receive_price,
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receipt_time, purchase_order_code, supplier_name
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FROM receipt_details
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WHERE material_code IN ({placeholders})
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GROUP BY material_code
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HAVING receipt_time = MAX(receipt_time)
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''', material_codes).fetchall()
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for r in price_records:
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prices_dict[r['material_code']] = dict(r)
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conn.close()
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# 为不同层级预设好看的主题色（从父件 0 到 第 5 层）
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level_colors = {
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0: '#F56C6C', # 红色：顶级父件成品
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1: '#E6A23C', # 橙色：一级子件（大组件）
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2: '#67C23A', # 绿色：二级子件
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3: '#409EFF', # 蓝色：三级子件
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4: '#909399', # 灰色：四级子件
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5: '#DDA0DD' # 紫色：五级或更深子件
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}
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# 4. 开始在 Python 内存中“找爸爸”组装树
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nodes_map = {}
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for row in children_records:
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node_id = row['id']
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level = row['bom_level']
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nodes_map[node_id] = {
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"name": f"[{row['node_material_code']}]\n{row['node_material_name']}",
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"materialCode": row['node_material_code'],
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"materialName": row['node_material_name'],
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"bomLevel": level,
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"parentNodeId": row['parent_node_id'],
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"usageQty": row['usage_qty'],
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# 基础颜色配置，稍后根据是否有子节点调整实心/空心
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"itemStyle": {
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"color": level_colors.get(level, '#DDA0DD'),
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"borderColor": level_colors.get(level, '#DDA0DD')
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},
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"children": []
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}
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root_tree = {
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"name": f"[{parent_info['parent_material_code']}]\n{parent_info['parent_material_name']}",
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"materialCode": parent_info['parent_material_code'],
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"materialName": parent_info['parent_material_name'],
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"bomLevel": 0,
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"usageQty": 1.0,
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"itemStyle": {
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"color": level_colors[0],
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"borderColor": level_colors[0]
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},
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"children": []
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}
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for node_id, node_data in nodes_map.items():
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parent_id = node_data['parentNodeId']
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if parent_id is None:
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root_tree['children'].append(node_data)
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else:
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if parent_id in nodes_map:
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nodes_map[parent_id]['children'].append(node_data)
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# 5. 递归处理：计算树的成本，并且根据是否有子件修改圆圈的实心/空心样式
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def process_tree_nodes(node, prices_dict):
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node_cost = 0.0
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price_record = prices_dict.get(node['materialCode'])
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own_price = price_record['receive_price'] if price_record and isinstance(price_record['receive_price'], (int, float)) else 0.0
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has_children = bool(node.get('children'))
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# 【核心视觉区分：还能不能点开？】
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# 如果它有子件（还能点开展开），就让它变成实心的（填充颜色与边框一致）
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# 如果它是最底层的零件（没有子件了，点不开了），就让它变成空心的（填充白色，只保留彩色边框）
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if has_children:
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node['itemStyle']['color'] = node['itemStyle']['borderColor']
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# 给可以点击的节点加个发光效果
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node['itemStyle']['shadowBlur'] = 10
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node['itemStyle']['shadowColor'] = 'rgba(0, 0, 0, 0.2)'
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else:
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node['itemStyle']['color'] = '#FFFFFF' # 白色填充（空心）
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node['itemStyle']['borderWidth'] = 2 # 加粗彩色边框
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if not has_children:
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node_cost = own_price
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else:
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for child in node['children']:
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node_cost += process_tree_nodes(child, prices_dict)
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if node_cost == 0.0 and own_price > 0:
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node_cost = own_price
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# 乘以该节点的耗用量，得到该节点的总成本贡献
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usage_qty = float(node.get('usageQty', 1.0))
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node_cost = node_cost * usage_qty
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node['totalCost'] = round(node_cost, 2)
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node['ownPrice'] = round(own_price, 2)
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if price_record:
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node['receiptTime'] = price_record['receipt_time']
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node['poCode'] = price_record['purchase_order_code']
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node['supplierName'] = price_record['supplier_name']
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else:
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node['receiptTime'] = '-'
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node['poCode'] = '-'
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node['supplierName'] = '-'
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return node_cost
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process_tree_nodes(root_tree, prices_dict)
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return jsonify(root_tree)
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@app.route('/api/latest_price/<material_code>')
|
||||
def get_latest_price(material_code):
|
||||
"""根据物料代码，去收货明细表中查询最新一次的收货价格和时间"""
|
||||
conn = get_db_connection()
|
||||
|
||||
# 按时间倒序，取第一条（最新一条）
|
||||
latest_record = conn.execute('''
|
||||
SELECT ROUND(COALESCE(total_amount / NULLIF(receive_qty, 0), receive_price, 0), 2) AS receive_price,
|
||||
receipt_time, purchase_order_code, supplier_name
|
||||
FROM receipt_details
|
||||
WHERE material_code = ?
|
||||
ORDER BY receipt_time DESC
|
||||
LIMIT 1
|
||||
''', (material_code,)).fetchone()
|
||||
|
||||
conn.close()
|
||||
|
||||
if latest_record:
|
||||
return jsonify(dict(latest_record))
|
||||
else:
|
||||
return jsonify({"receive_price": "无采购记录", "receipt_time": "-", "purchase_order_code": "-", "supplier_name": "-"})
|
||||
|
||||
@app.route('/compare')
|
||||
def compare_page():
|
||||
"""渲染 BOM 成本期间对比分析页面"""
|
||||
return render_template('bom_compare.html')
|
||||
|
||||
@app.route('/api/bom_tree_compare/<parent_code>')
|
||||
def get_bom_tree_compare(parent_code):
|
||||
"""
|
||||
为成本对比页面提供带时间段价格分析的 BOM 树数据。
|
||||
前端需要传入两个时间段参数：
|
||||
start_a, end_a (期间 A)
|
||||
start_b, end_b (期间 B)
|
||||
"""
|
||||
start_a = request.args.get('start_a')
|
||||
end_a = request.args.get('end_a')
|
||||
start_b = request.args.get('start_b')
|
||||
end_b = request.args.get('end_b')
|
||||
|
||||
conn = get_db_connection()
|
||||
|
||||
# 1. 查出基本结构
|
||||
parent_info = conn.execute(
|
||||
'SELECT parent_material_code, parent_material_name FROM bom_parent WHERE parent_material_code = ?',
|
||||
(parent_code,)
|
||||
).fetchone()
|
||||
|
||||
if not parent_info:
|
||||
conn.close()
|
||||
return jsonify({"error": "找不到该父件"}), 404
|
||||
|
||||
children_records = conn.execute(
|
||||
'SELECT id, node_material_code, node_material_name, parent_node_id, bom_level, usage_qty FROM bom_child WHERE parent_material_code = ?',
|
||||
(parent_code,)
|
||||
).fetchall()
|
||||
|
||||
material_codes = [row['node_material_code'] for row in children_records]
|
||||
material_codes.append(parent_info['parent_material_code'])
|
||||
|
||||
# 获取唯一的物料代码列表以进行查询
|
||||
unique_codes = list(set(material_codes))
|
||||
|
||||
prices_dict = {code: {
|
||||
'latest_price': 0.0,
|
||||
'unit_name': '',
|
||||
'casting_weight': None,
|
||||
'period_a_price': 0.0, 'period_a_status': 'normal', # normal, fallback(黄色), missing(红色)
|
||||
'period_b_price': 0.0, 'period_b_status': 'normal'
|
||||
} for code in unique_codes}
|
||||
|
||||
if unique_codes:
|
||||
placeholders = ','.join(['?'] * len(unique_codes))
|
||||
|
||||
# --- A. 查询历史最新价格及铸件重量/单位 ---
|
||||
latest_records = conn.execute(f'''
|
||||
SELECT material_code,
|
||||
unit_name,
|
||||
purchase_qty,
|
||||
receive_qty,
|
||||
ROUND(COALESCE(total_amount / NULLIF(receive_qty, 0), receive_price, 0), 2) AS receive_price
|
||||
FROM receipt_details
|
||||
WHERE material_code IN ({placeholders})
|
||||
GROUP BY material_code
|
||||
HAVING receipt_time = MAX(receipt_time)
|
||||
''', unique_codes).fetchall()
|
||||
|
||||
for r in latest_records:
|
||||
code = r['material_code']
|
||||
prices_dict[code]['latest_price'] = float(r['receive_price'] or 0)
|
||||
prices_dict[code]['unit_name'] = r['unit_name'] or ''
|
||||
|
||||
# 计算铸件重量逻辑
|
||||
if code.startswith('1PZJ') and r['purchase_qty'] and float(r['purchase_qty']) > 0:
|
||||
casting_weight = float(r['receive_qty'] or 0) / float(r['purchase_qty'])
|
||||
prices_dict[code]['casting_weight'] = round(casting_weight, 4) # 保留4位小数更精确
|
||||
|
||||
# 辅助函数：处理某个期间的价格逻辑
|
||||
def process_period(start_date, end_date, period_key, status_key):
|
||||
if not start_date or not end_date:
|
||||
return
|
||||
|
||||
# 给结束日期加上 23:59:59，确保包含最后一天全天的数据
|
||||
end_date_full = f"{end_date} 23:59:59"
|
||||
|
||||
# 1. 先查询该期间内的最新收货价
|
||||
params = unique_codes + [start_date, end_date_full]
|
||||
period_latest_records = conn.execute(f'''
|
||||
SELECT material_code,
|
||||
ROUND(COALESCE(total_amount / NULLIF(receive_qty, 0), receive_price, 0), 2) AS receive_price
|
||||
FROM receipt_details
|
||||
WHERE material_code IN ({placeholders})
|
||||
AND receipt_time >= ? AND receipt_time <= ?
|
||||
GROUP BY material_code
|
||||
HAVING receipt_time = MAX(receipt_time)
|
||||
''', params).fetchall()
|
||||
|
||||
found_codes = set()
|
||||
for r in period_latest_records:
|
||||
code = r['material_code']
|
||||
prices_dict[code][period_key] = float(r['receive_price'] or 0)
|
||||
prices_dict[code][status_key] = 'normal'
|
||||
found_codes.add(code)
|
||||
|
||||
# 2. 对于在期间内没有采购记录的物料，触发降级策略（找期间之前的最新价）
|
||||
missing_codes = [c for c in unique_codes if c not in found_codes]
|
||||
if missing_codes:
|
||||
missing_ph = ','.join(['?'] * len(missing_codes))
|
||||
fallback_params = missing_codes + [start_date]
|
||||
fallback_records = conn.execute(f'''
|
||||
SELECT material_code,
|
||||
ROUND(COALESCE(total_amount / NULLIF(receive_qty, 0), receive_price, 0), 2) AS receive_price
|
||||
FROM receipt_details
|
||||
WHERE material_code IN ({missing_ph})
|
||||
AND receipt_time < ?
|
||||
GROUP BY material_code
|
||||
HAVING receipt_time = MAX(receipt_time)
|
||||
''', fallback_params).fetchall()
|
||||
|
||||
fallback_found = set()
|
||||
for r in fallback_records:
|
||||
code = r['material_code']
|
||||
prices_dict[code][period_key] = float(r['receive_price'] or 0)
|
||||
prices_dict[code][status_key] = 'fallback' # 标记为使用了历史最近价
|
||||
fallback_found.add(code)
|
||||
|
||||
# 3. 如果连期间之前的历史记录都没有，但它有基准价（说明是在期间之后才采购的），也算是 fallback 还是 missing？
|
||||
# 我们之前定义的是“无任何历史记录”才标红。所以，如果它有最新基准价（latest_price > 0），
|
||||
# 说明这东西买过，只是在 start_date 之前没买过。我们不应该把它标红（missing），而应该标为普通的没价格或者某种特殊颜色。
|
||||
# 但为了严谨：既然我们在 start_date 之前没买过，意味着期初无库存/无价格，期间也没买，那这期间的价格只能是 0。
|
||||
# 并且如果 latest_price > 0，说明它并非“历史从未采购”，我们把它标为 fallback 但价格是 0。
|
||||
for code in missing_codes:
|
||||
if code not in fallback_found:
|
||||
prices_dict[code][period_key] = 0.0
|
||||
if prices_dict[code].get('latest_price', 0) > 0:
|
||||
# 有基准价，但在该期间和该期间之前都没买过，这不算“从未采购过”
|
||||
prices_dict[code][status_key] = 'fallback'
|
||||
else:
|
||||
# 彻底查不到任何记录，才是真正的 missing
|
||||
prices_dict[code][status_key] = 'missing'
|
||||
|
||||
# --- B. 处理期间 A ---
|
||||
process_period(start_a, end_a, 'period_a_price', 'period_a_status')
|
||||
# --- C. 处理期间 B ---
|
||||
process_period(start_b, end_b, 'period_b_price', 'period_b_status')
|
||||
|
||||
conn.close()
|
||||
|
||||
# 4. 组装树结构
|
||||
nodes_map = {}
|
||||
for row in children_records:
|
||||
node_id = row['id']
|
||||
nodes_map[node_id] = {
|
||||
"id": node_id,
|
||||
"materialCode": row['node_material_code'],
|
||||
"materialName": row['node_material_name'],
|
||||
"bomLevel": row['bom_level'],
|
||||
"usageQty": row['usage_qty'],
|
||||
"parentNodeId": row['parent_node_id'],
|
||||
"unitName": "",
|
||||
"castingWeight": None,
|
||||
"children": []
|
||||
}
|
||||
|
||||
root_tree = {
|
||||
"id": "root",
|
||||
"materialCode": parent_info['parent_material_code'],
|
||||
"materialName": parent_info['parent_material_name'],
|
||||
"bomLevel": "0",
|
||||
"usageQty": 1.0,
|
||||
"unitName": "",
|
||||
"castingWeight": None,
|
||||
"children": []
|
||||
}
|
||||
|
||||
for node_id, node_data in nodes_map.items():
|
||||
parent_id = node_data['parentNodeId']
|
||||
if parent_id is None:
|
||||
root_tree['children'].append(node_data)
|
||||
else:
|
||||
if parent_id in nodes_map:
|
||||
nodes_map[parent_id]['children'].append(node_data)
|
||||
|
||||
# 5. 递归计算累加成本
|
||||
def calc_compare_costs(node):
|
||||
code = node['materialCode']
|
||||
usage_qty = float(node.get('usageQty', 1.0))
|
||||
price_info = prices_dict.get(code, {})
|
||||
|
||||
# 获取基础单价
|
||||
node['latestUnitPrice'] = price_info.get('latest_price', 0.0)
|
||||
node['periodAUnitPrice'] = price_info.get('period_a_price', 0.0)
|
||||
node['periodBUnitPrice'] = price_info.get('period_b_price', 0.0)
|
||||
|
||||
# 获取单位名称和铸件单件重量
|
||||
node['unitName'] = price_info.get('unit_name', '')
|
||||
node['castingWeight'] = price_info.get('casting_weight')
|
||||
|
||||
node['periodAStatus'] = price_info.get('period_a_status', 'missing')
|
||||
node['periodBStatus'] = price_info.get('period_b_status', 'missing')
|
||||
|
||||
has_children = bool(node.get('children'))
|
||||
|
||||
# 判断一个节点在业务上是不是真的“组件”还是“采购件”
|
||||
# 即使它没有子节点（抓取时下面没数据），但如果它自身没有采购价（latestUnitPrice == 0）
|
||||
# 且在实际业务中它是挂在 BOM 上的（说明是个虚拟组件或大总成），我们也不该给它标颜色
|
||||
is_real_purchased_leaf = (not has_children) and (node['latestUnitPrice'] > 0 or node['periodAStatus'] != 'missing' or node['periodBStatus'] != 'missing')
|
||||
|
||||
if not has_children:
|
||||
# 叶子节点，总成本 = 单价 * 耗用量
|
||||
node['totalLatest'] = node['latestUnitPrice'] * usage_qty
|
||||
node['totalPeriodA'] = node['periodAUnitPrice'] * usage_qty
|
||||
node['totalPeriodB'] = node['periodBUnitPrice'] * usage_qty
|
||||
|
||||
# 只要它是叶子节点，我们就给它标颜色。
|
||||
# 如果它真的是虚拟件（基准价是 0，且 A B 都是 missing），那就大大方方给它标红点
|
||||
# 用户刚才反馈说有的子件有基准价但是连点都没标，就是因为之前那个 is_real_purchased_leaf 过滤得太严格或者有 Bug。
|
||||
node['showAStatus'] = node['periodAStatus']
|
||||
node['showBStatus'] = node['periodBStatus']
|
||||
else:
|
||||
total_latest = 0.0
|
||||
total_a = 0.0
|
||||
total_b = 0.0
|
||||
|
||||
for child in node['children']:
|
||||
calc_compare_costs(child)
|
||||
total_latest += child['totalLatest']
|
||||
total_a += child['totalPeriodA']
|
||||
total_b += child['totalPeriodB']
|
||||
|
||||
# 父件总成本 = (子件成本之和) * 父件自身的耗用量
|
||||
# 如果累加为0但自身有价格，使用 (自身单价 * 自身耗用量) 作为兜底
|
||||
node['totalLatest'] = (total_latest if total_latest > 0 else node['latestUnitPrice']) * usage_qty
|
||||
node['totalPeriodA'] = (total_a if total_a > 0 else node['periodAUnitPrice']) * usage_qty
|
||||
node['totalPeriodB'] = (total_b if total_b > 0 else node['periodBUnitPrice']) * usage_qty
|
||||
|
||||
# 父件的累加成本是由众多子件构成的，所以不显示单一的黄/红状态灯
|
||||
node['showAStatus'] = 'normal'
|
||||
node['showBStatus'] = 'normal'
|
||||
|
||||
calc_compare_costs(root_tree)
|
||||
|
||||
# 为了配合 ElementUI 的树形表格，根节点必须包装在数组里
|
||||
return jsonify([root_tree])
|
||||
|
||||
def open_browser():
|
||||
"""延迟 1.5 秒后自动打开系统默认浏览器"""
|
||||
time.sleep(1.5)
|
||||
url = "http://127.0.0.1:5050"
|
||||
print(f"🚀 正在自动打开浏览器: {url}")
|
||||
webbrowser.open(url)
|
||||
|
||||
if __name__ == '__main__':
|
||||
# 启动前开启一个线程去拉起浏览器
|
||||
threading.Thread(target=open_browser, daemon=True).start()
|
||||
|
||||
# 启动后端服务
|
||||
print("🚀 前端展示后端服务已启动！请在浏览器访问: http://127.0.0.1:5050")
|
||||
# 更改默认端口为 5050，避开 macOS 控制中心的 5000 端口占用
|
||||
app.run(debug=False, host='0.0.0.0', port=5050)
|
||||
Reference in New Issue
Block a user