feat: restructure basic info menu, add kitting monitor table, and implement user preferences api

This commit is contained in:
DXC
2026-03-24 09:29:20 +08:00
parent 706d7e551c
commit b5610de1f1
9 changed files with 775 additions and 457 deletions

View File

@ -1,7 +1,9 @@
from flask import Blueprint
from .inbound import inbound_bp
from .bom import bom_bp
from .user import user_bp
v1_bp = Blueprint('v1', __name__)
v1_bp.register_blueprint(inbound_bp, url_prefix='/inbound')
v1_bp.register_blueprint(bom_bp, url_prefix='/bom')
v1_bp.register_blueprint(user_bp, url_prefix='/user')

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@ -375,11 +375,11 @@ def calculate_kitting():
if not entries or not isinstance(entries, list):
return jsonify({'code': 400, 'msg': '参数格式错误,需要数组'}), 400
results = BomService.calculate_kitting(entries)
result = BomService.calculate_kitting(entries)
return jsonify({
'code': 200,
'msg': '计算成功',
'data': results
'data': result
})
except Exception as e:
current_app.logger.error(f'MRP齐套计算失败: {str(e)}')

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@ -0,0 +1,65 @@
from flask import Blueprint, request, jsonify, current_app
from app.models.system import SysUser
from app.extensions import db
from flask_jwt_extended import jwt_required, get_jwt_identity
from app.utils.decorators import audit_log
user_bp = Blueprint('user', __name__)
# ==============================================================================
# 用户偏好配置 API
# ==============================================================================
@user_bp.route('/preferences', methods=['GET'])
@jwt_required()
def get_preferences():
"""
读取当前用户的 preferences 字段
GET /api/v1/user/preferences
"""
try:
user_id = get_jwt_identity()
user = SysUser.query.get(user_id)
if not user:
return jsonify({'code': 404, 'msg': '用户不存在'}), 404
return jsonify({
'code': 200,
'msg': 'success',
'data': user.preferences or {}
})
except Exception as e:
current_app.logger.error(f'读取用户偏好失败: {str(e)}')
return jsonify({'code': 500, 'msg': f'读取失败: {str(e)}'}), 500
@user_bp.route('/preferences', methods=['PUT'])
@jwt_required()
@audit_log(module_name='系统', action_type='修改偏好配置')
def save_preferences():
"""
保存/更新当前用户的 preferences 字段
PUT /api/v1/user/preferences
入参: 任意 JSON 字典
"""
try:
user_id = get_jwt_identity()
user = SysUser.query.get(user_id)
if not user:
return jsonify({'code': 404, 'msg': '用户不存在'}), 404
new_prefs = request.get_json()
if new_prefs is None or not isinstance(new_prefs, dict):
return jsonify({'code': 400, 'msg': '参数必须是 JSON 对象'}), 400
user.preferences = new_prefs
db.session.commit()
return jsonify({
'code': 200,
'msg': '保存成功',
'data': user.preferences
})
except Exception as e:
db.session.rollback()
current_app.logger.error(f'保存用户偏好失败: {str(e)}')
return jsonify({'code': 500, 'msg': f'保存失败: {str(e)}'}), 500

View File

@ -22,6 +22,7 @@ class SysUser(db.Model):
role = db.Column(db.String(50))
status = db.Column(db.String(20), default='active')
password_hash = db.Column(db.Text)
preferences = db.Column(db.JSON, default=dict) # 用户偏好/个性化配置(如齐套监控列表)
created_at = db.Column(db.DateTime, default=beijing_time)
def set_password(self, password):
@ -61,6 +62,7 @@ class SysUser(db.Model):
'department': self.department,
'role': self.role,
'status': self.status,
'preferences': self.preferences or {},
'created_at': self.created_at.isoformat() if self.created_at else None
}

View File

@ -252,7 +252,7 @@ class BomService:
# ====================== MRP 齐套模拟计算 ======================
@staticmethod
def calculate_kitting(entries: list) -> list:
def calculate_kitting(entries: list) -> dict:
"""
MRP 齐套模拟计算
@ -261,13 +261,20 @@ class BomService:
2. 按子件 base_id 合并需求量:需求量 = dosage * (1 + loss_rate/100) * target_qty
3. 跨 StockBuy / StockSemi / StockProduct 聚合可用库存
4. 计算缺口shortage = available_quantity - required_quantity
5. 计算每个 BOM 的"当前库存可生产最大套数"(木桶效应)
:param entries: [{"bom_no": "BOM-001", "target_qty": 10}, ...]
:return: [{base_id, name, spec, unit, required_qty, available_qty, shortage, children: [...]}, ...]
:return: {
"bom_summary": [{bom_no, parent_name, max_producible}],
"materials": [{base_id, material_name, spec, unit, required_qty, available_qty, shortage, bom_sources}]
}
"""
# Step 1: 展开所有 BOM 的子件,聚合需求量
demand_map = {} # child_id -> {base_id, material_name, spec, unit, required_qty, bom_sources: []}
# 记录每个 entry 的元信息(用于后续 per-BOM 产量计算)
entry_meta = {} # bom_no -> {parent_name, version, children: {child_id: {dosage, loss_rate}}}
for entry in entries:
bom_no = entry.get('bom_no')
target_qty = float(entry.get('target_qty', 0) or 0)
@ -286,6 +293,18 @@ class BomService:
if not latest_version:
continue
# 获取父件名称
parent_row = db.session.query(
BomTable.parent_id, MaterialBase.name
).join(
MaterialBase, BomTable.parent_id == MaterialBase.id
).filter(
BomTable.bom_no == bom_no,
BomTable.version == latest_version
).first()
parent_name = parent_row.name if parent_row else ''
# 查询该 BOM 所有子件
rows = db.session.query(
BomTable, MaterialBase.name, MaterialBase.spec_model, MaterialBase.unit
@ -297,12 +316,26 @@ class BomService:
BomTable.is_enabled == True
).all()
entry_meta[bom_no] = {
'parent_name': parent_name,
'version': latest_version,
'children': {}
}
for bom, child_name, child_spec, child_unit in rows:
dosage = float(bom.dosage or 0)
loss_rate = float(bom.loss_rate or 0)
adj_dosage = dosage * (1 + loss_rate / 100.0)
qty_needed = adj_dosage * target_qty
# 记录 per-unit 用量(用于 max_producible 计算)
entry_meta[bom_no]['children'][bom.child_id] = {
'dosage': dosage,
'loss_rate': loss_rate,
'adj_dosage': adj_dosage,
'per_unit': adj_dosage # 每生产1套该BOM所需的此子件数量
}
if bom.child_id not in demand_map:
demand_map[bom.child_id] = {
'base_id': bom.child_id,
@ -323,14 +356,11 @@ class BomService:
# Step 2: 批量查询三张库存表的可用库存
child_ids = list(demand_map.keys())
if not child_ids:
return []
return {'bom_summary': [], 'materials': []}
# StockBuy.available_quantity, StockSemi.available_quantity, StockProduct.available_quantity
available_map = {cid: 0.0 for cid in child_ids}
for model_cls in (StockBuy, StockSemi, StockProduct):
if model_cls is None:
continue
rows = db.session.query(
model_cls.base_id,
func.coalesce(model_cls.available_quantity, 0)
@ -341,12 +371,12 @@ class BomService:
if base_id in available_map:
available_map[base_id] += float(qty)
# Step 3: 构造结果,计算缺口
results = []
# Step 3: 构造物料结果,计算缺口
materials = []
for base_id, info in demand_map.items():
avail = available_map.get(base_id, 0.0)
shortage = avail - info['required_qty']
results.append({
materials.append({
'base_id': base_id,
'material_name': info['material_name'],
'spec': info['spec'],
@ -357,9 +387,34 @@ class BomService:
'bom_sources': info['bom_sources']
})
# 按缺件数量降序排列(最缺的排前面)
results.sort(key=lambda x: x['shortage'])
return results
# 按缺件数量升序(最缺的排前面)
materials.sort(key=lambda x: x['shortage'])
# Step 4: 计算每个 BOM 的"当前库存可生产最大套数"(木桶效应)
# 算法:对每个 BOM 的所有子件,计算 Floor(available_qty / per_unit_demand)
# 取最小值 = 该 BOM 的最大可生产套数
bom_summary = []
for bom_no, meta in entry_meta.items():
min_producible = float('inf')
for child_id, child_info in meta['children'].items():
avail = available_map.get(child_id, 0.0)
per_unit = child_info['adj_dosage']
if per_unit > 0:
producible = int(avail // per_unit)
if producible < min_producible:
min_producible = producible
max_prod = int(min_producible) if min_producible != float('inf') else 0
bom_summary.append({
'bom_no': bom_no,
'parent_name': meta['parent_name'],
'version': meta['version'],
'max_producible': max_prod
})
return {
'bom_summary': bom_summary,
'materials': materials
}
# ====================== 兼容旧接口 ======================
@staticmethod