1462 lines
71 KiB
Python
1462 lines
71 KiB
Python
"""计划预测路由（最肥模块）"""
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from datetime import datetime
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from flask import Blueprint, request, jsonify, session, redirect, url_for, render_template
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from services.db import query
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from services.product_type import get_product_type_cached
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from services.sales_calc import compute_product_sales_cached, compute_product_sales_extended_cached
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from services.inventory_calc import (compute_product_inventory_cached,
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compute_product_inventory_15,
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compute_product_in_transit_cached,
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compute_cloud_inventory_cached,
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compute_external_inventory_cached,
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_determine_trend)
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from services.forecast import (is_new_product, get_product_grade,
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compute_daily_forecast,
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sales_predict_config_cached,
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get_global_config)
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from routes.auth import login_required, role_required, operation_required, _ensure_personnel_table
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from services.field_perms import filter_rows as _filter_field_rows
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import json
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planning_bp = Blueprint('planning', __name__)
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def _personnel_group_for_value(raw_value, groups):
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"""Infer a group's label from a stored person list without cross-group leakage."""
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names = [name.strip().casefold() for name in str(raw_value or '').split(',') if name.strip()]
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if not names:
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return ''
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normalized_groups = {
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str(group_name).casefold(): {str(member).strip().casefold() for member in members}
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for group_name, members in groups.items()
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}
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if len(names) == 1 and names[0] in normalized_groups:
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return names[0]
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counts = {group_name: sum(1 for name in names if name in members)
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for group_name, members in normalized_groups.items()}
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counts = {group_name: count for group_name, count in counts.items() if count}
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if not counts:
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return ''
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best = max(counts.values())
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winners = [name for name, count in counts.items() if count == best]
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return winners[0] if len(winners) == 1 and best * 2 >= len(names) else ''
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def _personnel_group_members():
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"""Read the editable personnel groups used by Personnel Management."""
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_ensure_personnel_table()
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rows = query("SELECT group_name, members_json FROM personnel_groups ORDER BY group_order, group_name")
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groups = {}
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for row in rows:
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try:
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members = json.loads(row.get('members_json') or '[]')
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except (TypeError, ValueError):
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members = []
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groups[row['group_name']] = [str(member).strip() for member in members if str(member).strip()]
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return groups
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def _personnel_value_matches_group(raw_value, selected_value, groups):
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"""Match a product's stored follower value against a group or person."""
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raw_names = {name.strip().casefold() for name in str(raw_value or '').split(',') if name.strip()}
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selected = str(selected_value or '').strip().casefold()
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if not selected:
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return True
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for group_name, members in groups.items():
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if group_name.casefold() == selected:
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member_names = {str(member).strip().casefold() for member in members}
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return bool(raw_names & member_names) or selected in raw_names
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return selected in raw_names
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def _ensure_global_config():
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"""确保全局配置已加载"""
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gc = get_global_config()
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return gc
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def _enrich_row_with_planning_data(row, sales, inv_map, inv15_map, transit_map, sp_map, gc,
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cloud_inv_map=None, ext_inv_map=None,
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cloud_sales_ext=None, ext_sales_ext=None,
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extended_sales=None):
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"""给一行产品数据补充计划预测相关的所有计算字段"""
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pc = row.get('product_code', '')
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inv_val = inv_map.get(pc, 0)
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inv15_val = inv15_map.get(pc, 0)
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t = transit_map.get(pc, {})
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prod_transit = t.get('生产在途', 0)
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purch_transit = t.get('采购在途', 0)
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row['总库存'] = inv_val + inv15_val + prod_transit + purch_transit
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row['库存'] = inv_val
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row['总在途库存'] = inv15_val + prod_transit + purch_transit
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row['云仓库存'] = cloud_inv_map.get(pc, 0) if cloud_inv_map else 0
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row['外仓库存'] = ext_inv_map.get(pc, 0) if ext_inv_map else 0
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# 云仓/外仓销量平均值
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def _safe_get(d, pc, key):
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return (d.get(pc) or {}).get(key, 0) if d else 0
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ext_data = extended_sales or {}
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cs = ext_data.get('cloud', {})
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es = ext_data.get('external', {})
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row['云仓昨日销量'] = _safe_get(cs, pc, '昨日销量')
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row['外仓昨日销量'] = _safe_get(es, pc, '昨日销量')
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row['云仓3天平均销量'] = _safe_get(cs, pc, '3天平均销量')
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row['外仓3天平均销量'] = _safe_get(es, pc, '3天平均销量')
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row['云仓7天平均销量'] = _safe_get(cs, pc, '7天平均销量')
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row['外仓7天平均销量'] = _safe_get(es, pc, '7天平均销量')
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row['云仓14天平均销量'] = _safe_get(cs, pc, '14天平均销量')
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row['外仓14天平均销量'] = _safe_get(es, pc, '14天平均销量')
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row['加工厂库存'] = inv15_map.get(pc, 0)
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t = transit_map.get(pc, {})
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row['生产在途'] = t.get('生产在途', 0)
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row['采购在途'] = t.get('采购在途', 0)
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if pc in sales:
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s = sales[pc]
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for k in ['昨日销量', '3天平均销量', '7天平均销量', '14天平均销量',
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'30天平均销量', '60天平均销量', '3天最高销量', '7天最高销量',
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'14天最高销量', '30天最高销量', '14天最低销量', '14天标准差',
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'最低销量偏差率', '最高销量偏差率', '极值判断', '14天波动率', '波动风险']:
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row[k] = s.get(k, 0)
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row['销售趋势'] = _determine_trend(s['3天平均销量'], s['7天平均销量'], s['14天平均销量'])
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else:
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for k in ['昨日销量', '3天平均销量', '7天平均销量', '14天平均销量',
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'30天平均销量', '60天平均销量', '3天最高销量', '7天最高销量',
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'14天最高销量', '30天最高销量', '14天最低销量', '14天标准差',
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'最低销量偏差率', '最高销量偏差率', '极值判断', '14天波动率', '波动风险']:
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row[k] = 0
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row['销售趋势'] = _determine_trend(0, 0, 0)
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# 云仓/外仓可分配库存：按「云仓外仓权重参数」计算
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# X = 云仓销量/昨日销量，Y = 外仓销量/昨日销量（昨日销量为0时权重按0计）
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# 云仓可分配库存 = 总库存 * X - 云仓库存；外仓可分配库存 = 总库存 * Y - 外仓库存
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total_inv_val = float(row.get('总库存', 0) or 0)
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yesterday_val = float(row.get('昨日销量', 0) or 0)
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cloud_yesterday_val = float(row.get('云仓昨日销量', 0) or 0)
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ext_yesterday_val = float(row.get('外仓昨日销量', 0) or 0)
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weight_x = (cloud_yesterday_val / yesterday_val) if yesterday_val > 0 else 0
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weight_y = (ext_yesterday_val / yesterday_val) if yesterday_val > 0 else 0
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row['云仓可分配库存'] = round(total_inv_val * weight_x - float(row.get('云仓库存', 0) or 0), 1)
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row['外仓可分配库存'] = round(total_inv_val * weight_y - float(row.get('外仓库存', 0) or 0), 1)
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# 是否调拨：按可分配库存自动判定（两边都不大于0时留空）
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cloud_alloc_ok = row['云仓可分配库存'] > 0
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ext_alloc_ok = row['外仓可分配库存'] > 0
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if cloud_alloc_ok and ext_alloc_ok:
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row['是否调拨'] = '云仓和外仓'
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elif cloud_alloc_ok:
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row['是否调拨'] = '云仓'
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elif ext_alloc_ok:
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row['是否调拨'] = '外仓'
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else:
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row['是否调拨'] = ''
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row['产品分级'] = get_product_grade(row.get('30天平均销量', 0) * 30,
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row.get('product_name', ''),
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row.get('产品种类', row.get('product_type', '')))
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# 是否新品
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row['是否新品'] = is_new_product(row.get('创建时间', ''))
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# 日销量预测 + 各种支撑天数计算
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row['日销量预测'] = compute_daily_forecast(row, sp_map)
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# 云仓/外仓日销量预测（构建临时row对象传入）
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def _cloud_forecast(val_3, val_7, val_14, val_30, trend_val):
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tmp = {
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'3天平均销量': val_3, '7天平均销量': val_7,
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'14天平均销量': val_14, '30天最高销量': val_30,
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'销售趋势': trend_val
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}
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f = compute_daily_forecast(tmp, sp_map)
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return f
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row['云仓日销量预测'] = _cloud_forecast(
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row.get('云仓3天平均销量', 0), row.get('云仓7天平均销量', 0),
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row.get('云仓14天平均销量', 0), _safe_get(cs, pc, '30天最高销量'),
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_determine_trend(row.get('云仓3天平均销量', 0), row.get('云仓7天平均销量', 0), row.get('云仓14天平均销量', 0))
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)
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row['外仓日销量预测'] = _cloud_forecast(
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row.get('外仓3天平均销量', 0), row.get('外仓7天平均销量', 0),
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row.get('外仓14天平均销量', 0), _safe_get(es, pc, '30天最高销量'),
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_determine_trend(row.get('外仓3天平均销量', 0), row.get('外仓7天平均销量', 0), row.get('外仓14天平均销量', 0))
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)
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_calc_support_days(row, gc)
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# 云仓/外仓支撑天数 =（本仓库存 + 本仓可分配库存）/ 本仓日销量预测
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def _num(v):
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try:
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return float(v)
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except (TypeError, ValueError):
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return 0.0
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cloud_forecast = _num(row.get('云仓日销量预测', 0))
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ext_forecast = _num(row.get('外仓日销量预测', 0))
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cloud_days_base = _num(row.get('云仓库存', 0)) + _num(row.get('云仓可分配库存', 0))
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ext_days_base = _num(row.get('外仓库存', 0)) + _num(row.get('外仓可分配库存', 0))
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row['云仓支撑天数'] = round(cloud_days_base / cloud_forecast, 1) if cloud_forecast > 0 else 999
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row['外仓支撑天数'] = round(ext_days_base / ext_forecast, 1) if ext_forecast > 0 else 999
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_calc_suggested_qty(row, gc)
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return row
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def _calc_support_days(row, gc):
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"""计算库存支撑天数、健康指数、建议下单等"""
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safety_days = int(gc.get('safety_stock_days', '7'))
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return_days = int(gc.get('suggested_return_days', '15'))
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forecast_val = row.get('日销量预测', 0)
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fcast = float(forecast_val) if forecast_val not in ('近期无销售', 0, '0') else 0
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inv_val = float(row.get('库存', 0) or 0)
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inv15_val = float(row.get('加工厂库存', 0) or 0)
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prod_transit = float(row.get('生产在途', 0) or 0)
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purch_transit = float(row.get('采购在途', 0) or 0)
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# 库存可支撑天数
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if fcast == 0:
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row['库存可支撑天数'] = 999
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row['库存工厂可支撑天数'] = 999
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row['库存工厂待生产可支撑天数'] = 999
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row['加工厂库存支撑天数'] = 999
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row['总支撑天数'] = 999
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else:
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row['库存可支撑天数'] = round(inv_val / fcast, 1) if fcast > 0 else 999
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row['库存工厂可支撑天数'] = round(purch_transit / fcast, 1) if fcast > 0 else 999
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row['库存工厂待生产可支撑天数'] = round(prod_transit / fcast, 1) if fcast > 0 else 999
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row['加工厂库存支撑天数'] = round(inv15_val / fcast, 1) if fcast > 0 else 999
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total_inv = inv_val + inv15_val + prod_transit + purch_transit
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row['总支撑天数'] = round(total_inv / fcast, 1) if fcast > 0 else 999
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# 库存健康指数
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sup_days = row.get('库存可支撑天数', 999)
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s1 = sup_days if isinstance(sup_days, (int, float)) and sup_days != 999 else None
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lead_h = float(row.get('生产货期', 0) or 0)
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logis_h = float(row.get('物流时间', 0) or 0)
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if s1 is not None and (lead_h + logis_h) > 0:
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health = s1 / (lead_h + logis_h)
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row['库存健康指数'] = round(min(health, 999), 1)
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else:
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row['库存健康指数'] = 999
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# 风险把控
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created = row.get('创建时间', '')
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sup_days_val = row.get('库存可支撑天数', 999)
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try:
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sup_days_val = float(sup_days_val)
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except:
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sup_days_val = 999
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days_since_created = 999
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try:
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if created:
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if isinstance(created, str):
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created_dt = datetime.strptime(created[:10], '%Y-%m-%d')
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else:
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created_dt = created
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days_since_created = (datetime.now() - created_dt).days
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except:
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pass
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if days_since_created < 90:
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row['风险把控'] = '新品'
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elif days_since_created > 180 and sup_days_val > 240:
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row['风险把控'] = '需启动清库存'
|
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elif days_since_created > 90 and sup_days_val > 90:
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row['风险把控'] = '呆滞品'
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else:
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row['风险把控'] = '正常'
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# 建议下单数量 / 实际下单数量：需等云仓、外仓支撑天数算完后由 _calc_suggested_qty 计算
|
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# 建议回货数量
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total_transit = prod_transit + purch_transit
|
||
if fcast > 0 and total_transit > 0:
|
||
calc_val = fcast * return_days - inv_val
|
||
round_up = int(calc_val * 10 + 0.99999) / 10
|
||
if round_up < 0:
|
||
round_up = 0
|
||
row['建议回货数量'] = round_up if round_up <= total_transit else total_transit
|
||
if row['建议回货数量'] < 0:
|
||
row['建议回货数量'] = 0
|
||
else:
|
||
row['建议回货数量'] = 0
|
||
|
||
|
||
def _calc_suggested_qty(row, gc):
|
||
"""按日销量预测、总支撑天数和产品类型计算建议下单数量。"""
|
||
safety_days = int(gc.get('safety_stock_days', '7'))
|
||
|
||
def _num(v):
|
||
try:
|
||
return float(v)
|
||
except (TypeError, ValueError):
|
||
return 0.0
|
||
|
||
lead_days = _num(row.get('生产货期', 0))
|
||
logistics_days = _num(row.get('物流时间', 0))
|
||
threshold = lead_days + logistics_days + safety_days
|
||
|
||
forecast_val = row.get('日销量预测', 0)
|
||
daily_forecast = 0.0 if forecast_val in ('近期无销售', 0, '0', None) else _num(forecast_val)
|
||
total_support_days = _num(row.get('总支撑天数', 999))
|
||
product_type = str(row.get('product_type') or '').strip()
|
||
|
||
if daily_forecast == 0 or total_support_days >= threshold:
|
||
qty = 0
|
||
elif product_type == '现货':
|
||
qty = int(daily_forecast * (lead_days + logistics_days))
|
||
else:
|
||
qty = int(daily_forecast * threshold)
|
||
|
||
row['建议下单数量'] = qty
|
||
# 等同 Excel MROUND(建议下单数量, 500)：四舍五入到最接近的 500 倍数
|
||
row['实际下单数量'] = ((qty + 250) // 500) * 500 if qty > 0 else 0
|
||
return row
|
||
|
||
|
||
def _merge_pending_formal_qty(rows):
|
||
"""从 pending_orders 表合并正式下单数量到规划数据行"""
|
||
if not rows:
|
||
return
|
||
codes = [r.get('product_code', '') for r in rows if r.get('product_code')]
|
||
if not codes:
|
||
return
|
||
placeholders = ','.join(['%s'] * len(codes))
|
||
pending = query(f"SELECT product_code, formal_order_qty FROM pending_orders WHERE status IN ('pending','draft') AND product_code IN ({placeholders})", codes)
|
||
qty_map = {r['product_code']: int(r['formal_order_qty'] or 0) for r in pending}
|
||
for row in rows:
|
||
pc = row.get('product_code', '')
|
||
if pc in qty_map and qty_map[pc] > 0:
|
||
row['正式下单数量'] = qty_map[pc]
|
||
|
||
|
||
# ─── 列宽与列方案管理 ───
|
||
ORDER_WIDTH_PAGES = {'planning', 'purchase', 'purchase_ready', 'orders_finished', 'orders_domestic', 'orders_overseas', 'orders_packaging', 'new_products'}
|
||
|
||
|
||
@planning_bp.route('/api/planning/column-widths')
|
||
@login_required
|
||
def planning_column_widths():
|
||
page = request.args.get('page', '')
|
||
if page not in ORDER_WIDTH_PAGES:
|
||
return jsonify({"code": 400, "msg": "页面参数错误"})
|
||
rows = query(
|
||
"SELECT field_name, width FROM user_column_widths WHERE user_id=%s AND page=%s",
|
||
(session['user_id'], page)
|
||
)
|
||
widths = {row['field_name']: int(row['width']) for row in rows}
|
||
return jsonify({"code": 0, "data": widths})
|
||
|
||
|
||
@planning_bp.route('/api/planning/column-widths/save', methods=['POST'])
|
||
@login_required
|
||
def planning_column_widths_save():
|
||
data = request.get_json(silent=True) or {}
|
||
page = data.get('page', '')
|
||
widths = data.get('widths')
|
||
if page not in ORDER_WIDTH_PAGES:
|
||
return jsonify({"code": 400, "msg": "页面参数错误"})
|
||
if not isinstance(widths, dict) or not widths:
|
||
return jsonify({"code": 400, "msg": "列宽数据不能为空"})
|
||
if len(widths) > 100:
|
||
return jsonify({"code": 400, "msg": "列宽字段数量超出限制"})
|
||
|
||
cleaned = []
|
||
for field_name, width in widths.items():
|
||
field_name = str(field_name).strip()
|
||
try:
|
||
width = int(round(float(width)))
|
||
except (TypeError, ValueError):
|
||
return jsonify({"code": 400, "msg": "列宽格式错误"})
|
||
if not field_name or len(field_name) > 100 or width < 60 or width > 2000:
|
||
return jsonify({"code": 400, "msg": "列宽数据超出允许范围"})
|
||
cleaned.append((session['user_id'], page, field_name, width))
|
||
|
||
placeholders = ','.join(['(%s,%s,%s,%s)'] * len(cleaned))
|
||
params = tuple(value for row in cleaned for value in row)
|
||
query(
|
||
"INSERT INTO user_column_widths (user_id, page, field_name, width) VALUES "
|
||
+ placeholders
|
||
+ " ON DUPLICATE KEY UPDATE width=VALUES(width), updated_at=CURRENT_TIMESTAMP",
|
||
params
|
||
)
|
||
return jsonify({"code": 0, "msg": "保存成功"})
|
||
|
||
|
||
@planning_bp.route('/api/planning/schemes')
|
||
@login_required
|
||
def planning_schemes():
|
||
user_id = session['user_id']
|
||
page = request.args.get('page')
|
||
if page:
|
||
schemes = query(
|
||
"SELECT id, user_id, page, scheme_name, columns_json, is_default, created_at, updated_at "
|
||
"FROM user_column_schemes WHERE user_id=%s AND page=%s ORDER BY is_default DESC, id ASC",
|
||
(user_id, page)
|
||
)
|
||
else:
|
||
schemes = query(
|
||
"SELECT id, user_id, page, scheme_name, columns_json, is_default, created_at, updated_at "
|
||
"FROM user_column_schemes WHERE user_id=%s ORDER BY is_default DESC, id ASC",
|
||
(user_id,)
|
||
)
|
||
return jsonify({"code": 0, "data": schemes})
|
||
|
||
|
||
@planning_bp.route('/api/planning/scheme/save', methods=['POST'])
|
||
@login_required
|
||
def planning_scheme_save():
|
||
user_id = session['user_id']
|
||
data = request.json
|
||
scheme_name = data.get('scheme_name', '').strip()
|
||
columns_json = data.get('columns_json', '')
|
||
page = data.get('page', 'planning')
|
||
is_default = int(data.get('is_default', 0))
|
||
|
||
if not scheme_name:
|
||
return jsonify({"code": 400, "msg": "方案名称不能为空"})
|
||
if not columns_json:
|
||
return jsonify({"code": 400, "msg": "字段配置不能为空"})
|
||
|
||
try:
|
||
existing = query(
|
||
"SELECT id FROM user_column_schemes WHERE user_id=%s AND page=%s AND scheme_name=%s",
|
||
(user_id, page, scheme_name)
|
||
)
|
||
if existing:
|
||
query(
|
||
"UPDATE user_column_schemes SET columns_json=%s, is_default=%s WHERE id=%s",
|
||
(columns_json, is_default, existing[0]['id'])
|
||
)
|
||
scheme_id = existing[0]['id']
|
||
else:
|
||
scheme_id = query(
|
||
"INSERT INTO user_column_schemes (user_id, page, scheme_name, columns_json, is_default) "
|
||
"VALUES (%s, %s, %s, %s, %s)",
|
||
(user_id, page, scheme_name, columns_json, is_default)
|
||
)
|
||
return jsonify({"code": 0, "msg": "保存成功", "data": {"id": scheme_id}})
|
||
except Exception as e:
|
||
return jsonify({"code": 500, "msg": str(e)})
|
||
|
||
|
||
@planning_bp.route('/api/planning/scheme/delete', methods=['POST'])
|
||
@login_required
|
||
def planning_scheme_delete():
|
||
user_id = session['user_id']
|
||
data = request.json
|
||
scheme_id = data.get('id')
|
||
if not scheme_id:
|
||
return jsonify({"code": 400, "msg": "参数错误"})
|
||
query("DELETE FROM user_column_schemes WHERE id=%s AND user_id=%s", (scheme_id, user_id))
|
||
return jsonify({"code": 0, "msg": "删除成功"})
|
||
|
||
|
||
@planning_bp.route('/api/planning/scheme/set_default', methods=['POST'])
|
||
@login_required
|
||
def planning_scheme_set_default():
|
||
user_id = session['user_id']
|
||
data = request.json
|
||
scheme_id = data.get('id')
|
||
page = data.get('page', 'planning')
|
||
if not scheme_id:
|
||
return jsonify({"code": 400, "msg": "参数错误"})
|
||
try:
|
||
query("UPDATE user_column_schemes SET is_default=0 WHERE user_id=%s AND page=%s", (user_id, page))
|
||
query("UPDATE user_column_schemes SET is_default=1 WHERE id=%s AND user_id=%s", (scheme_id, user_id))
|
||
return jsonify({"code": 0, "msg": "设置成功"})
|
||
except Exception as e:
|
||
return jsonify({"code": 500, "msg": str(e)})
|
||
|
||
|
||
# ─── API: 计划预测主列表（492行核心） ───
|
||
@planning_bp.route('/api/planning/list')
|
||
@login_required
|
||
def planning_list():
|
||
# 加载全局配置
|
||
gc = _ensure_global_config()
|
||
|
||
page = int(request.args.get('page', 1))
|
||
size = int(request.args.get('size', 50))
|
||
offset = (page - 1) * size
|
||
|
||
search = request.args.get('search', '')
|
||
prod_code = request.args.get('prod_code', '')
|
||
prod_name = request.args.get('prod_name', '')
|
||
brand_filter = request.args.get('brand', '')
|
||
type_filter = request.args.get('product_type', '')
|
||
category_filter = request.args.get('category', '')
|
||
trend_filter = request.args.get('trend', '')
|
||
supplier_filter = request.args.get('supplier', '')
|
||
operator_filter = request.args.get('operator', '')
|
||
platform_filter = request.args.get('platform', '')
|
||
planner_filter = request.args.get('procurement_planner', '')
|
||
follower_filter = request.args.get('procurement_follower', '')
|
||
# The planning page uses personnel groups as the display/filter vocabulary.
|
||
GROUP_TO_MEMBERS = _personnel_group_members()
|
||
view_filter = request.args.get('view', 'default')
|
||
grade_filter = request.args.get('product_grade', '')
|
||
custom_field = request.args.get('custom_field', '')
|
||
custom_value = request.args.get('custom_value', '')
|
||
date_cond = request.args.get('date_cond', '')
|
||
date_val = request.args.get('date_val', '')
|
||
sort_by = request.args.get('sort_by', '')
|
||
sort_order = request.args.get('sort_order', 'asc')
|
||
|
||
where = []
|
||
params = []
|
||
|
||
if search:
|
||
where.append("(p.product_name LIKE %s OR p.product_code LIKE %s)")
|
||
params.extend([f"%{search}%", f"%{search}%"])
|
||
if prod_code:
|
||
where.append("p.product_code LIKE %s")
|
||
params.append(f"%{prod_code}%")
|
||
if prod_name:
|
||
where.append("p.product_name LIKE %s")
|
||
params.append(f"%{prod_name}%")
|
||
if brand_filter:
|
||
where.append("p.brand=%s")
|
||
params.append(brand_filter)
|
||
|
||
# 解析多选筛选条件，将数据库字段的筛选转成 SQL WHERE 条件
|
||
if custom_field == '__multi__' and custom_value and isinstance(custom_value, str):
|
||
json_str = custom_value
|
||
if json_str.startswith('__multi__:'):
|
||
json_str = json_str[len('__multi__:'):]
|
||
try:
|
||
import json
|
||
multi_filters = json.loads(json_str)
|
||
for mf in multi_filters:
|
||
ff = mf.get('field', '')
|
||
ft = mf.get('type', '')
|
||
values = mf.get('values', [])
|
||
if not ff:
|
||
continue
|
||
if ft != 'num' and not values:
|
||
continue
|
||
# 人员分组从人员信息管理表实时读取，避免前端/后端维护多套名单
|
||
GROUP_TO_MEMBERS = _personnel_group_members()
|
||
PERSONNEL_GROUPS = list(GROUP_TO_MEMBERS.items())
|
||
db_col_map = {
|
||
'product_type': 'p.product_type',
|
||
'product_code': 'p.product_code',
|
||
'product_name': 'p.product_name',
|
||
'brand': 'p.brand',
|
||
'procurement_follower': 'p.procurement_follower',
|
||
'采购跟单': 'p.procurement_follower',
|
||
'procurement_planner': 'p.procurement_planner',
|
||
'采购计划': 'p.procurement_planner',
|
||
'成本价': 'p.cost_price',
|
||
'生产货期': 'p.lead_time',
|
||
'物流时间': 'p.logistics_time',
|
||
'最低起订量': 'p.min_order_qty',
|
||
}
|
||
db_col = db_col_map.get(ff)
|
||
if ft == 'search':
|
||
val = mf.get('value', '')
|
||
if val and db_col:
|
||
like_conds = []
|
||
for v in [val]:
|
||
like_conds.append(f"{db_col} LIKE %s")
|
||
params.append(f"%{v}%")
|
||
if like_conds:
|
||
where.append("(" + " OR ".join(like_conds) + ")")
|
||
elif ft == 'num':
|
||
# 数字列筛选：生成 SQL 条件（全量过滤）
|
||
_cond_op = mf.get('cond', '')
|
||
_cond_val = mf.get('val', '')
|
||
_op_map = {'eq':'=','neq':'!=','gt':'>','gte':'>=','lt':'<','lte':'<='}
|
||
if _cond_op == 'range' and _cond_val:
|
||
_parts = [x.strip() for x in _cond_val.split(',') if x.strip()]
|
||
if len(_parts) == 2 and db_col:
|
||
where.append(f"{db_col} >= %s AND {db_col} <= %s")
|
||
params.extend([float(_parts[0]), float(_parts[1])])
|
||
elif _cond_op in _op_map and db_col:
|
||
try:
|
||
_nv = float(_cond_val)
|
||
where.append(f"{db_col} {_op_map[_cond_op]} %s")
|
||
params.append(_nv)
|
||
except ValueError:
|
||
pass
|
||
elif db_col and ft in ('list', 'text'):
|
||
if ff == 'product_name':
|
||
like_conds = []
|
||
for v in values:
|
||
like_conds.append(f"{db_col} LIKE %s")
|
||
params.append(f"%{v}%")
|
||
if like_conds:
|
||
where.append("(" + " OR ".join(like_conds) + ")")
|
||
elif ff in ('procurement_follower', '采购跟单'):
|
||
# 人员字段：将组名展开为具体人名做 LIKE 匹配
|
||
expanded = []
|
||
for v in values:
|
||
# Products may store either the current group label or legacy member names.
|
||
# Match both so the SQL pre-filter does not discard valid group rows.
|
||
expanded.append(v)
|
||
if v in GROUP_TO_MEMBERS:
|
||
expanded.extend(GROUP_TO_MEMBERS[v])
|
||
like_conds = []
|
||
for name in expanded:
|
||
like_conds.append(f"{db_col} LIKE %s")
|
||
params.append('%' + name + '%')
|
||
if like_conds:
|
||
where.append("(" + " OR ".join(like_conds) + ")")
|
||
else:
|
||
placeholders = ', '.join(['%s'] * len(values))
|
||
where.append(f"{db_col} IN ({placeholders})")
|
||
params.extend(values)
|
||
except (json.JSONDecodeError, TypeError):
|
||
pass
|
||
|
||
# 与成品基础信息表保持一致：排除包材和其他类
|
||
where.append("p.product_type NOT IN ('包材', '其他')")
|
||
where.append("p.product_code NOT IN (SELECT product_code FROM plan_hidden)")
|
||
where.append("p.deleted_at IS NULL")
|
||
# 国内品/海外品视图过滤（按品牌区分）
|
||
OVERSEAS_BRANDS = ['Qsimelr', 'PUNOMO', 'Aromat Herbs', 'MUTO', 'sedate', 'SEDATE-WOPUKA', 'WOPUKA', 'UOUONE', 'AVAA', 'MOONOTE', 'CIKITI']
|
||
if view_filter == 'cloud':
|
||
# 国内品：品牌不在海外品列表中的
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"(p.brand NOT IN ({placeholders}) OR p.brand IS NULL OR p.brand = '')")
|
||
params.extend(OVERSEAS_BRANDS)
|
||
elif view_filter == 'external':
|
||
# 海外品：品牌在海外品列表中的
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"p.brand IN ({placeholders})")
|
||
params.extend(OVERSEAS_BRANDS)
|
||
where_clause = " AND ".join(where) if where else "1=1"
|
||
|
||
total = query(f"SELECT COUNT(*) AS cnt FROM products p WHERE {where_clause}", params)[0]['cnt']
|
||
|
||
# Debug: check params count
|
||
if total == 2299 and view_filter == 'cloud':
|
||
# The brand filter might not be applied - check view_filter value
|
||
pass
|
||
|
||
need_full_fetch = (type_filter or category_filter or trend_filter or
|
||
supplier_filter or operator_filter or platform_filter or
|
||
planner_filter or follower_filter or grade_filter or
|
||
custom_field or date_cond or bool(sort_by) or view_filter != 'default')
|
||
|
||
if need_full_fetch:
|
||
# 全量捞取 + Python端筛选排序
|
||
all_rows = query(f"""
|
||
SELECT p.product_code, p.product_name, p.brand, p.product_type, p.specification,
|
||
p.cost_price,
|
||
p.lead_time AS 生产货期, p.logistics_time AS 物流时间, p.min_order_qty AS 最低起订量, p.created_at AS 创建时间,
|
||
COALESCE(s.supplier_name, p.supplier_name_match) AS 供应商名称, p.procurement_follower AS 采购跟单,
|
||
p.procurement_planner AS 采购计划, p.operator AS 运营专员,
|
||
p.developer AS 开发专员,
|
||
p.platform AS 归属平台,
|
||
p.category1 AS 一级类目, p.category2 AS 二级类目, p.category3 AS 三级类目,
|
||
p.custom_field1, p.custom_field2, p.custom_field3, p.custom_field4, p.custom_field5,
|
||
p.remark AS 批注
|
||
FROM products p
|
||
LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code
|
||
WHERE {where_clause}
|
||
ORDER BY p.product_code ASC
|
||
""", params)
|
||
|
||
# 全量计算辅助数据
|
||
sales = compute_product_sales_cached()
|
||
inv_map = compute_product_inventory_cached()
|
||
inv15_map = compute_product_inventory_15()
|
||
transit_map = compute_product_in_transit_cached()
|
||
cloud_inv_map = compute_cloud_inventory_cached()
|
||
ext_inv_map = compute_external_inventory_cached()
|
||
extended_sales = compute_product_sales_extended_cached()
|
||
sp_map = {r['trend_type']: r for r in sales_predict_config_cached()}
|
||
|
||
filtered = []
|
||
for row in all_rows:
|
||
if '创建时间' in row and row['创建时间']:
|
||
row['创建时间'] = row['创建时间'].strftime('%Y-%m-%d') if hasattr(row['创建时间'], 'strftime') else str(row['创建时间'])[:10]
|
||
if row.get('生产货期') is None:
|
||
row['生产货期'] = 0
|
||
if row.get('物流时间') is None:
|
||
row['物流时间'] = 0
|
||
row['产品种类'] = get_product_type_cached(row.get('product_name', ''), row.get('brand', ''), row.get('product_type'))
|
||
|
||
row = _enrich_row_with_planning_data(row, sales, inv_map, inv15_map, transit_map, sp_map, gc,
|
||
cloud_inv_map=cloud_inv_map, ext_inv_map=ext_inv_map,
|
||
extended_sales=extended_sales)
|
||
|
||
# 筛选
|
||
match = True
|
||
if match and type_filter and type_filter.lower() not in (row.get('product_type') or '').lower():
|
||
match = False
|
||
if match and category_filter and category_filter.lower() not in (row.get('产品种类') or '').lower():
|
||
match = False
|
||
if match and trend_filter and trend_filter.lower() not in (row.get('销售趋势') or '').lower():
|
||
match = False
|
||
if match and supplier_filter and supplier_filter.lower() not in (row.get('供应商名称') or '').lower():
|
||
match = False
|
||
if match and operator_filter and operator_filter.lower() not in (row.get('运营专员') or '').lower():
|
||
match = False
|
||
if match and platform_filter and platform_filter.lower() not in (row.get('归属平台') or '').lower():
|
||
match = False
|
||
if match and planner_filter and planner_filter.lower() not in (row.get('采购计划') or '').lower():
|
||
match = False
|
||
if match and follower_filter and not _personnel_value_matches_group(
|
||
row.get('采购跟单'), follower_filter, GROUP_TO_MEMBERS):
|
||
match = False
|
||
if match and grade_filter and grade_filter.lower() not in (row.get('产品分级') or '').lower():
|
||
match = False
|
||
if match and custom_field and custom_value:
|
||
multi_filters = []
|
||
if custom_field == '__multi__' and isinstance(custom_value, str):
|
||
# 支持 __multi__:JSON 格式
|
||
json_str = custom_value
|
||
if json_str.startswith('__multi__:'):
|
||
json_str = json_str[len('__multi__:'):]
|
||
try:
|
||
import json
|
||
multi_filters = json.loads(json_str)
|
||
except (json.JSONDecodeError, TypeError):
|
||
pass
|
||
else:
|
||
multi_filters = [{'field': custom_field, 'type': 'list' if ',' in custom_value else 'text', 'values': [custom_value]}]
|
||
if isinstance(custom_value, str) and custom_value.startswith('__num_filter__'):
|
||
expr = custom_value[len('__num_filter__'):]
|
||
parts = expr.split(':', 1)
|
||
multi_filters = [{'field': custom_field, 'type': 'num', 'cond': parts[0], 'val': parts[1] if len(parts) > 1 else ''}]
|
||
|
||
for f in multi_filters:
|
||
ft = f.get('type', '')
|
||
ff = f.get('field', custom_field)
|
||
if ft == 'num':
|
||
cond = f.get('cond', '')
|
||
val_str = f.get('val', '')
|
||
row_val = row.get(ff)
|
||
try:
|
||
row_num = float(row_val) if row_val not in (None, '', 0) else 0
|
||
if cond == 'eq':
|
||
match = row_num == float(val_str)
|
||
elif cond == 'neq':
|
||
match = row_num != float(val_str)
|
||
elif cond == 'gt':
|
||
match = row_num > float(val_str)
|
||
elif cond == 'gte':
|
||
match = row_num >= float(val_str)
|
||
elif cond == 'lt':
|
||
match = row_num < float(val_str)
|
||
elif cond == 'lte':
|
||
match = row_num <= float(val_str)
|
||
elif cond == 'range':
|
||
vals = [float(v.strip()) for v in val_str.split(',') if v.strip()]
|
||
if len(vals) >= 2:
|
||
match = vals[0] <= row_num <= vals[1]
|
||
except (ValueError, TypeError):
|
||
match = False
|
||
elif ft == 'search':
|
||
val = f.get('value', '')
|
||
if val:
|
||
row_val = str(row.get(ff) or '').lower()
|
||
if val.lower() not in row_val:
|
||
match = False
|
||
elif ft == 'list':
|
||
values_list = [v.lower() for v in f.get('values', []) if v]
|
||
if values_list:
|
||
raw_row_val = row.get(ff)
|
||
row_val = '' if raw_row_val is None else str(raw_row_val).lower()
|
||
if '__empty__' in values_list and row_val == '':
|
||
continue
|
||
# 人员字段：将组名展开为具体人名做匹配
|
||
if ff in ('procurement_follower', '采购跟单'):
|
||
selected_groups = [
|
||
(group_name.casefold(), members)
|
||
for group_name, members in PERSONNEL_GROUPS
|
||
if group_name.casefold() in values_list
|
||
]
|
||
if selected_groups:
|
||
row_group = _personnel_group_for_value(raw_row_val, GROUP_TO_MEMBERS)
|
||
if not any(row_group == group_name for group_name, _ in selected_groups):
|
||
match = False
|
||
else:
|
||
names = [name.strip().casefold() for name in str(raw_row_val or '').split(',') if name.strip()]
|
||
if not any(v in names for v in values_list):
|
||
match = False
|
||
elif ff in (
|
||
'昨日销量','云仓昨日销量','外仓昨日销量','库存','云仓库存','外仓库存','加工厂库存',
|
||
'总库存','总在途库存','生产在途','采购在途','云仓可分配库存','外仓可分配库存',
|
||
'云仓支撑天数','外仓支撑天数',
|
||
'日销量预测','云仓日销量预测','外仓日销量预测',
|
||
'建议下单数量','实际下单数量','正式下单数量','建议回货数量','库存健康指数','成本价',
|
||
'生产货期','物流时间','最低起订量','3天平均销量','云仓3天平均销量','外仓3天平均销量',
|
||
'7天平均销量','云仓7天平均销量','外仓7天平均销量','14天平均销量','云仓14天平均销量',
|
||
'外仓14天平均销量','30天平均销量','60天平均销量','3天最高销量','7天最高销量',
|
||
'14天最高销量','30天最高销量','14天最低销量','14天标准差','库存可支撑天数',
|
||
'库存工厂可支撑天数','加工厂库存支撑天数','库存工厂待生产可支撑天数','总支撑天数',
|
||
'最低销量偏差率','最高销量偏差率','14天波动率'
|
||
):
|
||
# 数字列内容筛选必须按数值精确匹配，不能用字符串包含（0 不应命中 30）
|
||
try:
|
||
row_num = float(raw_row_val) if raw_row_val not in (None, '') else 0.0
|
||
selected_nums = [float(v) for v in values_list]
|
||
if row_num not in selected_nums:
|
||
match = False
|
||
except (ValueError, TypeError):
|
||
match = False
|
||
else:
|
||
if row_val == '':
|
||
# 空值不得命中任何具体选项（勾选「（空）」的情况已在上面 continue 处理）
|
||
match = False
|
||
elif not any(v == row_val or v in row_val for v in values_list):
|
||
# 只允许「完全相等」或「单元格含该选项」，不再反向用单元格去包含选项
|
||
match = False
|
||
if not match:
|
||
break
|
||
if match and date_cond and date_val:
|
||
create_date = row.get('创建时间', '')
|
||
if not create_date:
|
||
match = False
|
||
else:
|
||
if isinstance(create_date, str):
|
||
create_date = create_date[:10]
|
||
else:
|
||
create_date = str(create_date)[:10]
|
||
if date_cond == 'lt':
|
||
if create_date >= date_val:
|
||
match = False
|
||
elif date_cond == 'gt':
|
||
if create_date <= date_val:
|
||
match = False
|
||
elif date_cond == 'eq':
|
||
if create_date != date_val:
|
||
match = False
|
||
|
||
if match:
|
||
filtered.append(row)
|
||
|
||
if sort_by:
|
||
rev = sort_order.lower() != 'asc'
|
||
grade_order = {'S级': 0, 'A级': 1, 'B级': 2, 'C级': 3, '不参与评级': 4}
|
||
def sort_key(row):
|
||
val = row.get(sort_by)
|
||
if sort_by == '产品分级':
|
||
return grade_order.get(val, 99)
|
||
if val is None or val == '':
|
||
return float('-inf') if rev else float('inf')
|
||
try:
|
||
return float(val)
|
||
except (ValueError, TypeError):
|
||
return str(val).lower()
|
||
filtered.sort(key=sort_key, reverse=rev)
|
||
|
||
filtered_total = len(filtered)
|
||
page_rows = filtered[offset:offset + size]
|
||
print(f'[PLAN_DEBUG] view={view_filter} filtered_len={filtered_total} page_rows={len(page_rows)} all_rows={len(all_rows)}', flush=True)
|
||
|
||
all_codes = [r['product_code'] for r in filtered]
|
||
_merge_pending_formal_qty(page_rows)
|
||
_filter_field_rows('planning', page_rows, session.get('user_id'), session.get('role'),
|
||
page_view=bool(role_required('planning')),
|
||
page_edit=operation_required('planning', 'edit'))
|
||
return jsonify({"code": 0, "data": {"total": filtered_total, "page": page, "size": size, "rows": page_rows, "all_codes": all_codes}})
|
||
else:
|
||
# SQL分页 + 少量Python计算
|
||
rows = query(f"""
|
||
SELECT p.product_code, p.product_name, p.brand, p.product_type, p.specification,
|
||
p.cost_price,
|
||
p.lead_time AS 生产货期, p.logistics_time AS 物流时间, p.min_order_qty AS 最低起订量, p.created_at AS 创建时间,
|
||
COALESCE(s.supplier_name, p.supplier_name_match) AS 供应商名称, p.procurement_follower AS 采购跟单,
|
||
p.procurement_planner AS 采购计划, p.operator AS 运营专员,
|
||
p.developer AS 开发专员,
|
||
p.platform AS 归属平台,
|
||
p.category1 AS 一级类目, p.category2 AS 二级类目, p.category3 AS 三级类目,
|
||
p.custom_field1, p.custom_field2, p.custom_field3, p.custom_field4, p.custom_field5,
|
||
p.remark AS 批注
|
||
FROM products p
|
||
LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code
|
||
WHERE {where_clause}
|
||
ORDER BY p.id DESC
|
||
LIMIT {size} OFFSET {offset}
|
||
""", params)
|
||
|
||
for row in rows:
|
||
if '创建时间' in row and row['创建时间']:
|
||
row['创建时间'] = row['创建时间'].strftime('%Y-%m-%d') if hasattr(row['创建时间'], 'strftime') else str(row['创建时间'])[:10]
|
||
if row.get('生产货期') is None:
|
||
row['生产货期'] = 0
|
||
if row.get('物流时间') is None:
|
||
row['物流时间'] = 0
|
||
row['产品种类'] = get_product_type_cached(row.get('product_name', ''), row.get('brand', ''), row.get('product_type'))
|
||
|
||
# 批量计算辅助数据
|
||
sales = compute_product_sales_cached()
|
||
inv_map = compute_product_inventory_cached()
|
||
inv15_map = compute_product_inventory_15()
|
||
transit_map = compute_product_in_transit_cached()
|
||
cloud_inv_map = compute_cloud_inventory_cached()
|
||
ext_inv_map = compute_external_inventory_cached()
|
||
extended_sales = compute_product_sales_extended_cached()
|
||
sp_map = {r['trend_type']: r for r in sales_predict_config_cached()}
|
||
|
||
for row in rows:
|
||
row = _enrich_row_with_planning_data(row, sales, inv_map, inv15_map, transit_map, sp_map, gc,
|
||
cloud_inv_map=cloud_inv_map, ext_inv_map=ext_inv_map,
|
||
extended_sales=extended_sales)
|
||
|
||
# 获取所有匹配的产品编号（用于全选）
|
||
all_codes_rows = query(f"SELECT product_code FROM products p WHERE {where_clause}", params)
|
||
all_codes = [r['product_code'] for r in all_codes_rows]
|
||
_merge_pending_formal_qty(rows)
|
||
_filter_field_rows('planning', rows, session.get('user_id'), session.get('role'),
|
||
page_view=bool(role_required('planning')),
|
||
page_edit=operation_required('planning', 'edit'))
|
||
return jsonify({"code": 0, "data": {"total": total, "page": page, "size": size, "rows": rows, "all_codes": all_codes}})
|
||
|
||
|
||
@planning_bp.route('/api/planning/export', methods=['POST'])
|
||
@login_required
|
||
def planning_export():
|
||
"""导出计划预测全部数据（Excel）
|
||
请求体: {view, sort_by, sort_order, columns: [{field,label}]}
|
||
"""
|
||
import io
|
||
import openpyxl
|
||
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
|
||
from openpyxl.utils import get_column_letter
|
||
|
||
body = request.get_json(silent=True) or {}
|
||
gc = _ensure_global_config()
|
||
|
||
view_filter = body.get('view', 'default')
|
||
sort_by = body.get('sort_by', '')
|
||
sort_order = body.get('sort_order', 'asc')
|
||
columns = body.get('columns') or []
|
||
# 防止旧客户端/脚本未传字段方案时回退为全字段导出；空列请求直接拒绝。
|
||
if not columns:
|
||
return jsonify({"code": 400, "msg": "请先在字段设置中选择要导出的字段"}), 400
|
||
# 只允许计划预测字段，排除操作列及未知字段。
|
||
allowed_fields = {
|
||
'product_type','产品种类','product_code','product_name','brand','批注','产品分级',
|
||
'昨日销量','云仓昨日销量','外仓昨日销量','销售趋势','总库存','库存','总在途库存',
|
||
'云仓库存','外仓库存','加工厂库存','云仓可分配库存','外仓可分配库存','是否调拨',
|
||
'生产在途','采购在途','日销量预测','云仓日销量预测','外仓日销量预测','建议下单数量',
|
||
'实际下单数量','正式下单数量','库存健康指数','风险把控','供应商名称','采购跟单',
|
||
'采购计划','开发专员','归属平台','运营专员','cost_price','3天平均销量','云仓3天平均销量',
|
||
'外仓3天平均销量','7天平均销量','云仓7天平均销量','外仓7天平均销量','14天平均销量',
|
||
'云仓14天平均销量','外仓14天平均销量','库存可支撑天数','库存工厂可支撑天数',
|
||
'加工厂库存支撑天数','库存工厂待生产可支撑天数','总支撑天数','云仓支撑天数','外仓支撑天数',
|
||
'建议回货数量','specification',
|
||
'30天平均销量','60天平均销量','3天最高销量','7天最高销量','14天最高销量','30天最高销量',
|
||
'14天最低销量','14天标准差','最低销量偏差率','最高销量偏差率','极值判断','14天波动率',
|
||
'波动风险','生产货期','物流时间','最低起订量','创建时间','是否新品','一级类目','二级类目','三级类目'
|
||
}
|
||
columns = [c for c in columns if isinstance(c, dict) and c.get('field') in allowed_fields]
|
||
if not columns:
|
||
return jsonify({"code": 400, "msg": "没有可导出的有效字段"}), 400
|
||
|
||
# ── 基础 where（与列表一致）──
|
||
where = []
|
||
params = []
|
||
where.append("p.product_type NOT IN ('包材', '其他')")
|
||
where.append("p.product_code NOT IN (SELECT product_code FROM plan_hidden)")
|
||
where.append("p.deleted_at IS NULL")
|
||
OVERSEAS_BRANDS = ['Qsimelr', 'PUNOMO', 'Aromat Herbs', 'MUTO', 'sedate', 'SEDATE-WOPUKA', 'WOPUKA', 'UOUONE', 'AVAA', 'MOONOTE', 'CIKITI']
|
||
if view_filter == 'cloud':
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"(p.brand NOT IN ({placeholders}) OR p.brand IS NULL OR p.brand = '')")
|
||
params.extend(OVERSEAS_BRANDS)
|
||
elif view_filter == 'external':
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"p.brand IN ({placeholders})")
|
||
params.extend(OVERSEAS_BRANDS)
|
||
where_clause = " AND ".join(where) if where else "1=1"
|
||
|
||
# ── 全量拉取（与列表全量分支一致）──
|
||
all_rows = query(f"""
|
||
SELECT p.product_code, p.product_name, p.brand, p.product_type, p.specification,
|
||
p.cost_price,
|
||
p.lead_time AS 生产货期, p.logistics_time AS 物流时间, p.min_order_qty AS 最低起订量, p.created_at AS 创建时间,
|
||
COALESCE(s.supplier_name, p.supplier_name_match) AS 供应商名称, p.procurement_follower AS 采购跟单,
|
||
p.procurement_planner AS 采购计划, p.operator AS 运营专员,
|
||
p.developer AS 开发专员,
|
||
p.platform AS 归属平台,
|
||
p.category1 AS 一级类目, p.category2 AS 二级类目, p.category3 AS 三级类目,
|
||
p.custom_field1, p.custom_field2, p.custom_field3, p.custom_field4, p.custom_field5,
|
||
p.remark AS 批注
|
||
FROM products p
|
||
LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code
|
||
WHERE {where_clause}
|
||
ORDER BY p.product_code ASC
|
||
""", params)
|
||
|
||
sales = compute_product_sales_cached()
|
||
inv_map = compute_product_inventory_cached()
|
||
inv15_map = compute_product_inventory_15()
|
||
transit_map = compute_product_in_transit_cached()
|
||
cloud_inv_map = compute_cloud_inventory_cached()
|
||
ext_inv_map = compute_external_inventory_cached()
|
||
extended_sales = compute_product_sales_extended_cached()
|
||
sp_map = {r['trend_type']: r for r in sales_predict_config_cached()}
|
||
|
||
rows = []
|
||
for row in all_rows:
|
||
if '创建时间' in row and row['创建时间']:
|
||
row['创建时间'] = row['创建时间'].strftime('%Y-%m-%d') if hasattr(row['创建时间'], 'strftime') else str(row['创建时间'])[:10]
|
||
if row.get('生产货期') is None:
|
||
row['生产货期'] = 0
|
||
if row.get('物流时间') is None:
|
||
row['物流时间'] = 0
|
||
row['产品种类'] = get_product_type_cached(row.get('product_name', ''), row.get('brand', ''), row.get('product_type'))
|
||
row = _enrich_row_with_planning_data(row, sales, inv_map, inv15_map, transit_map, sp_map, gc,
|
||
cloud_inv_map=cloud_inv_map, ext_inv_map=ext_inv_map,
|
||
extended_sales=extended_sales)
|
||
rows.append(row)
|
||
|
||
if sort_by:
|
||
rev = sort_order.lower() != 'asc'
|
||
grade_order = {'S级': 0, 'A级': 1, 'B级': 2, 'C级': 3, '不参与评级': 4}
|
||
def sort_key(row):
|
||
val = row.get(sort_by)
|
||
if sort_by == '产品分级':
|
||
return grade_order.get(val, 99)
|
||
if val is None or val == '':
|
||
return float('-inf') if rev else float('inf')
|
||
try:
|
||
return float(val)
|
||
except (ValueError, TypeError):
|
||
return str(val).lower()
|
||
rows.sort(key=sort_key, reverse=rev)
|
||
|
||
_merge_pending_formal_qty(rows)
|
||
|
||
# ── 生成 Excel ──
|
||
wb = openpyxl.Workbook()
|
||
ws = wb.active
|
||
ws.title = '计划预测'
|
||
|
||
header_font = Font(bold=True, color='FFFFFF')
|
||
header_fill = PatternFill('solid', fgColor='1890FF')
|
||
thin = Side(style='thin', color='D9D9D9')
|
||
border = Border(left=thin, right=thin, top=thin, bottom=thin)
|
||
|
||
ws.append([c.get('label', c.get('field', '')) for c in columns])
|
||
for cell in ws[1]:
|
||
cell.font = header_font
|
||
cell.fill = header_fill
|
||
cell.alignment = Alignment(horizontal='center', vertical='center')
|
||
cell.border = border
|
||
|
||
for row in rows:
|
||
vals = []
|
||
for c in columns:
|
||
v = row.get(c.get('field', ''))
|
||
if v is None:
|
||
v = ''
|
||
vals.append(v)
|
||
ws.append(vals)
|
||
|
||
for i, c in enumerate(columns, 1):
|
||
max_len = len(str(c.get('label', '')))
|
||
for row in ws.iter_rows(min_row=2, min_col=i, max_col=i):
|
||
for cell in row:
|
||
if cell.value is not None:
|
||
max_len = max(max_len, len(str(cell.value)))
|
||
ws.column_dimensions[get_column_letter(i)].width = min(max(max_len * 1.6, 10), 40)
|
||
|
||
for row in ws.iter_rows(min_row=2):
|
||
for cell in row:
|
||
cell.border = border
|
||
|
||
output = io.BytesIO()
|
||
wb.save(output)
|
||
output.seek(0)
|
||
|
||
from flask import send_file
|
||
filename = f'计划预测_{datetime.now().strftime("%Y%m%d_%H%M%S")}.xlsx'
|
||
return send_file(
|
||
output,
|
||
as_attachment=True,
|
||
download_name=filename,
|
||
mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
|
||
)
|
||
|
||
|
||
# ─── 页面路由 ───
|
||
@planning_bp.route('/planning')
|
||
@login_required
|
||
def planning_page():
|
||
if not role_required('planning'):
|
||
return redirect(url_for('auth.index'))
|
||
return render_template('base.html', page='planning')
|
||
|
||
|
||
@planning_bp.route('/api/planning/hide', methods=['POST'])
|
||
@login_required
|
||
def planning_hide_product():
|
||
"""将产品从计划预测中隐藏"""
|
||
data = request.json
|
||
product_code = data.get('product_code', '')
|
||
if not product_code:
|
||
return jsonify({"code": 400, "msg": "缺少货品编号"})
|
||
query("INSERT IGNORE INTO plan_hidden (product_code) VALUES (%s)", (product_code,))
|
||
return jsonify({"code": 0, "msg": "已从计划预测中移除"})
|
||
|
||
|
||
@planning_bp.route('/api/planning/unhide', methods=['POST'])
|
||
@login_required
|
||
def planning_unhide_product():
|
||
"""将产品恢复显示到计划预测"""
|
||
data = request.json
|
||
product_code = data.get('product_code', '')
|
||
if not product_code:
|
||
return jsonify({"code": 400, "msg": "缺少货品编号"})
|
||
query("DELETE FROM plan_hidden WHERE product_code=%s", (product_code,))
|
||
return jsonify({"code": 0, "msg": "已恢复显示"})
|
||
|
||
|
||
@planning_bp.route('/api/product-types')
|
||
def product_type_list():
|
||
"""返回所有产品类型列表"""
|
||
from services.db import query
|
||
rows = query("SELECT DISTINCT product_type FROM products WHERE deleted_at IS NULL AND product_type IS NOT NULL AND product_type != '' ORDER BY product_type")
|
||
types = [r['product_type'] for r in rows]
|
||
return jsonify({"code": 0, "data": types})
|
||
|
||
|
||
@planning_bp.route('/api/planning/brands')
|
||
@login_required
|
||
def planning_brands():
|
||
"""获取计划预测页面的品牌列表（按当前视图过滤，支持联动筛选）"""
|
||
view_filter = request.args.get('view', 'default')
|
||
plan_filter_str = request.args.get('plan_filter', '') or ''
|
||
where = ["product_type NOT IN ('包材', '其他')"]
|
||
where.append("product_code NOT IN (SELECT product_code FROM plan_hidden)")
|
||
where.append("p.deleted_at IS NULL")
|
||
OVERSEAS_BRANDS = ['Qsimelr', 'PUNOMO', 'Aromat Herbs', 'MUTO', 'sedate', 'SEDATE-WOPUKA', 'WOPUKA', 'UOUONE', 'AVAA', 'MOONOTE', 'CIKITI']
|
||
if view_filter == 'cloud':
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"(brand NOT IN ({placeholders}) OR brand IS NULL OR brand = '')")
|
||
params = list(OVERSEAS_BRANDS)
|
||
elif view_filter == 'external':
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"brand IN ({placeholders})")
|
||
params = list(OVERSEAS_BRANDS)
|
||
else:
|
||
params = []
|
||
# 联动筛选
|
||
if plan_filter_str:
|
||
try:
|
||
import json
|
||
_pfs = json.loads(plan_filter_str)
|
||
_pms = {
|
||
'product_code': 'p.product_code', 'product_name': 'p.product_name',
|
||
'product_type': 'p.product_type', 'specification': 'p.specification',
|
||
'供应商名称': "COALESCE(s.supplier_name, p.supplier_name_match)",
|
||
'采购跟单': 'p.procurement_follower', '采购计划': 'p.procurement_planner',
|
||
'运营专员': 'p.operator', '开发专员': 'p.developer',
|
||
'归属平台': 'p.platform', '一级类目': 'p.category1',
|
||
'二级类目': 'p.category2', '三级类目': 'p.category3',
|
||
'成本价': 'p.cost_price', '生产货期': 'p.lead_time',
|
||
'物流时间': 'p.logistics_time', '最低起订量': 'p.min_order_qty',
|
||
}
|
||
for _k, _v in _pfs.items():
|
||
if _k == 'brand':
|
||
continue
|
||
if not isinstance(_v, dict):
|
||
continue
|
||
_dbc = _pms.get(_k)
|
||
if not _dbc:
|
||
continue
|
||
_t = _v.get('type', '')
|
||
if _t == 'search':
|
||
_val = _v.get('value', '')
|
||
if _val:
|
||
where.append(_dbc + ' LIKE %s')
|
||
params.append('%' + _val + '%')
|
||
elif _t == 'list':
|
||
_vals = _v.get('values', [])
|
||
if _vals:
|
||
_non_empty = [x for x in _vals if x != '__EMPTY__']
|
||
if _non_empty:
|
||
_phs = ', '.join(['%s'] * len(_non_empty))
|
||
where.append(_dbc + ' IN (' + _phs + ')')
|
||
params.extend(_non_empty)
|
||
if '__EMPTY__' in _vals:
|
||
where.append('(' + _dbc + ' IS NULL OR ' + _dbc + " = '')")
|
||
except:
|
||
pass
|
||
where_clause = " AND ".join(where)
|
||
from services.db import query
|
||
if params:
|
||
rows = query(f"SELECT DISTINCT brand FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE {where_clause} AND brand IS NOT NULL AND brand != '' ORDER BY brand", params)
|
||
else:
|
||
rows = query(f"SELECT DISTINCT brand FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE {where_clause} AND brand IS NOT NULL AND brand != '' ORDER BY brand")
|
||
if params:
|
||
rows = query(f"SELECT DISTINCT brand FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE {where_clause} AND brand IS NOT NULL AND brand != '' ORDER BY brand", params)
|
||
else:
|
||
rows = query(f"SELECT DISTINCT brand FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE {where_clause} AND brand IS NOT NULL AND brand != '' ORDER BY brand")
|
||
vals = [r['brand'] for r in rows]
|
||
emptySql = "SELECT COUNT(*) AS cnt FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE " + where_clause + " AND (brand IS NULL OR brand = '')"
|
||
emptyRows = query(emptySql, params) if params else query(emptySql)
|
||
if emptyRows and emptyRows[0]['cnt'] > 0:
|
||
vals.append('__EMPTY__')
|
||
return jsonify({"code": 0, "data": vals})
|
||
|
||
|
||
@planning_bp.route('/api/planning/column-values')
|
||
@login_required
|
||
def planning_column_values():
|
||
"""获取计划预测页面指定列的所有唯一值（全量，支持联动筛选）"""
|
||
field = request.args.get('field', '')
|
||
view_filter = request.args.get('view', 'default')
|
||
plan_filter_str = request.args.get('plan_filter', '') or ''
|
||
if not field:
|
||
return jsonify({"code": 400, "msg": ":缺少field参数"})
|
||
|
||
OVERSEAS_BRANDS = ['Qsimelr', 'PUNOMO', 'Aromat Herbs', 'MUTO', 'sedate', 'SEDATE-WOPUKA', 'WOPUKA', 'UOUONE', 'AVAA', 'MOONOTE', 'CIKITI']
|
||
where = ["p.product_type NOT IN ('包材', '其他')"]
|
||
where.append("p.product_code NOT IN (SELECT product_code FROM plan_hidden)")
|
||
where.append("p.deleted_at IS NULL")
|
||
if view_filter == 'cloud':
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"(p.brand NOT IN ({placeholders}) OR p.brand IS NULL OR p.brand = '')")
|
||
params = list(OVERSEAS_BRANDS)
|
||
elif view_filter == 'external':
|
||
placeholders = ','.join(['%s'] * len(OVERSEAS_BRANDS))
|
||
where.append(f"p.brand IN ({placeholders})")
|
||
params = list(OVERSEAS_BRANDS)
|
||
else:
|
||
params = []
|
||
|
||
# 联动筛选：解析 plan_filter 并追加条件
|
||
if plan_filter_str:
|
||
try:
|
||
import json
|
||
_pfs = json.loads(plan_filter_str)
|
||
_pms = db_col_map = {
|
||
'product_code': 'p.product_code',
|
||
'product_name': 'p.product_name',
|
||
'product_type': 'p.product_type',
|
||
'specification': 'p.specification',
|
||
'供应商名称': "COALESCE(s.supplier_name, p.supplier_name_match)",
|
||
'procurement_follower': 'p.procurement_follower',
|
||
'采购跟单': 'p.procurement_follower',
|
||
'procurement_planner': 'p.procurement_planner',
|
||
'采购计划': 'p.procurement_planner',
|
||
'运营专员': 'p.operator',
|
||
'开发专员': 'p.developer',
|
||
'归属平台': 'p.platform',
|
||
'一级类目': 'p.category1',
|
||
'二级类目': 'p.category2',
|
||
'三级类目': 'p.category3',
|
||
'成本价': 'p.cost_price',
|
||
'生产货期': 'p.lead_time',
|
||
'物流时间': 'p.logistics_time',
|
||
'最低起订量': 'p.min_order_qty',
|
||
}
|
||
for _k, _v in _pfs.items():
|
||
if _k == field:
|
||
continue
|
||
if not isinstance(_v, dict):
|
||
continue
|
||
_dbc = _pms.get(_k)
|
||
if not _dbc:
|
||
continue
|
||
_t = _v.get('type', '')
|
||
if _t == 'search':
|
||
_val = _v.get('value', '')
|
||
if _val:
|
||
where.append(_dbc + ' LIKE %s')
|
||
params.append('%' + _val + '%')
|
||
elif _t == 'list':
|
||
_vals = _v.get('values', [])
|
||
if _vals:
|
||
_non_empty = [x for x in _vals if x != '__EMPTY__']
|
||
_parts = []
|
||
if _non_empty:
|
||
if _k in ('procurement_follower', '采购跟单'):
|
||
_groups = _personnel_group_members()
|
||
_names = []
|
||
for _selected in _non_empty:
|
||
_names.extend(_groups.get(_selected, [_selected]))
|
||
if _selected in _groups:
|
||
_names.append(_selected)
|
||
for _name in _names:
|
||
_parts.append(_dbc + ' LIKE %s')
|
||
params.append('%' + _name + '%')
|
||
else:
|
||
_phs = ', '.join(['%s'] * len(_non_empty))
|
||
_parts.append(_dbc + ' IN (' + _phs + ')')
|
||
params.extend(_non_empty)
|
||
if '__EMPTY__' in _vals:
|
||
_parts.append('(' + _dbc + ' IS NULL OR ' + _dbc + " = '')")
|
||
if _parts:
|
||
where.append('(' + ' OR '.join(_parts) + ')')
|
||
except:
|
||
pass
|
||
|
||
where_clause = " AND ".join(where)
|
||
|
||
db_col_map = {
|
||
'product_code': 'p.product_code',
|
||
'product_name': 'p.product_name',
|
||
'product_type': 'p.product_type',
|
||
'specification': 'p.specification',
|
||
'供应商名称': "COALESCE(s.supplier_name, p.supplier_name_match)",
|
||
'采购跟单': 'p.procurement_follower',
|
||
'采购计划': 'p.procurement_planner',
|
||
'运营专员': 'p.operator',
|
||
'开发专员': 'p.developer',
|
||
'归属平台': 'p.platform',
|
||
'一级类目': 'p.category1',
|
||
'二级类目': 'p.category2',
|
||
'三级类目': 'p.category3',
|
||
'成本价': 'p.cost_price',
|
||
'生产货期': 'p.lead_time',
|
||
'物流时间': 'p.logistics_time',
|
||
'最低起订量': 'p.min_order_qty',
|
||
}
|
||
db_col = db_col_map.get(field)
|
||
|
||
# 如果是计算字段（不在数据库表中），走完整查询+计算后提取
|
||
COMPUTED_NUMERIC_FIELDS = {
|
||
'昨日销量','云仓昨日销量','外仓昨日销量',
|
||
'库存','云仓库存','外仓库存','加工厂库存','总库存','总在途库存',
|
||
'云仓可分配库存','外仓可分配库存',
|
||
'云仓支撑天数','外仓支撑天数',
|
||
'生产在途','采购在途',
|
||
'日销量预测','云仓日销量预测','外仓日销量预测',
|
||
'建议下单数量','实际下单数量','正式下单数量','建议回货数量',
|
||
'库存健康指数',
|
||
'3天平均销量','云仓3天平均销量','外仓3天平均销量',
|
||
'7天平均销量','云仓7天平均销量','外仓7天平均销量',
|
||
'14天平均销量','云仓14天平均销量','外仓14天平均销量',
|
||
'30天平均销量','60天平均销量',
|
||
'3天最高销量','7天最高销量','14天最高销量','30天最高销量',
|
||
'14天最低销量','14天标准差',
|
||
'库存可支撑天数','库存工厂可支撑天数','加工厂库存支撑天数',
|
||
'库存工厂待生产可支撑天数','总支撑天数',
|
||
'最低销量偏差率','最高销量偏差率','14天波动率',
|
||
}
|
||
if field in COMPUTED_NUMERIC_FIELDS:
|
||
# 计算字段：走全量查询+enrichment 后提取唯一值
|
||
need_full_fetch = True
|
||
|
||
if not db_col and field not in COMPUTED_NUMERIC_FIELDS:
|
||
return jsonify({"code": 0, "data": []})
|
||
|
||
from services.db import query
|
||
|
||
if field in COMPUTED_NUMERIC_FIELDS:
|
||
# 计算字段：获取全量产品，走 enrichment 提取唯一值
|
||
try:
|
||
all_rows = query(f"""
|
||
SELECT p.product_code, p.product_name, p.brand, p.product_type, p.specification,
|
||
p.cost_price,
|
||
p.lead_time AS 生产货期, p.logistics_time AS 物流时间,
|
||
p.min_order_qty AS 最低起订量, p.created_at AS 创建时间,
|
||
COALESCE(s.supplier_name, p.supplier_name_match) AS 供应商名称,
|
||
p.procurement_follower AS 采购跟单,
|
||
p.procurement_planner AS 采购计划, p.operator AS 运营专员,
|
||
p.developer AS 开发专员, p.platform AS 归属平台,
|
||
p.category1 AS 一级类目, p.category2 AS 二级类目, p.category3 AS 三级类目
|
||
FROM products p
|
||
LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code
|
||
WHERE {where_clause}
|
||
""", params)
|
||
except Exception as _e:
|
||
import logging
|
||
logging.error(f"column-values computed field query failed: {_e}")
|
||
return jsonify({"code": 0, "data": []})
|
||
# 使用已导入的 cached 函数
|
||
sales = compute_product_sales_cached()
|
||
inv_map = compute_product_inventory_cached()
|
||
inv15_map = compute_product_inventory_15()
|
||
transit_map = compute_product_in_transit_cached()
|
||
cloud_inv_map = compute_cloud_inventory_cached()
|
||
ext_inv_map = compute_external_inventory_cached()
|
||
extended_sales = compute_product_sales_extended_cached()
|
||
sp_map = {r['trend_type']: r for r in sales_predict_config_cached()}
|
||
gc = _ensure_global_config()
|
||
|
||
seen = {}
|
||
values = []
|
||
for row in all_rows:
|
||
if row.get('创建时间'):
|
||
created = row['创建时间']
|
||
row['创建时间'] = created.strftime('%Y-%m-%d') if hasattr(created, 'strftime') else str(created)[:10]
|
||
row['生产货期'] = row.get('生产货期') or 0
|
||
row['物流时间'] = row.get('物流时间') or 0
|
||
row['产品种类'] = get_product_type_cached(
|
||
row.get('product_name', ''), row.get('brand', ''), row.get('product_type')
|
||
)
|
||
enriched = _enrich_row_with_planning_data(
|
||
row, sales, inv_map, inv15_map, transit_map, sp_map, gc,
|
||
cloud_inv_map=cloud_inv_map, ext_inv_map=ext_inv_map,
|
||
extended_sales=extended_sales
|
||
)
|
||
# 联动筛选：有 plan_filter 时过滤其他字段的条件
|
||
if plan_filter_str:
|
||
try:
|
||
_pf = json.loads(plan_filter_str)
|
||
_skip = False
|
||
for _k, _v in _pf.items():
|
||
if _k == field:
|
||
continue
|
||
if not isinstance(_v, dict):
|
||
continue
|
||
# 数据库字段已经在上方 SQL WHERE 中完成联动过滤，
|
||
# 此处只重复校验计算字段，避免中文显示字段取不到值而被误判为空。
|
||
if _k in _pms:
|
||
continue
|
||
_vt = _v.get('type', '')
|
||
_raw = enriched.get(_k)
|
||
_rv = '' if _raw is None else str(_raw)
|
||
if _vt == 'list':
|
||
_vls = [str(x) for x in _v.get('values', [])]
|
||
if '__EMPTY__' in _vls and _rv == '':
|
||
pass
|
||
elif _vls and _rv not in _vls:
|
||
_skip = True; break
|
||
elif _vt == 'search':
|
||
_sv = _v.get('value', '')
|
||
if _sv and _sv not in _rv:
|
||
_skip = True; break
|
||
elif _vt == 'num':
|
||
try:
|
||
_rn = float(_rv) if _rv not in ('', 'None') else 0
|
||
_cn = float(_v.get('val', 0))
|
||
_co = _v.get('cond', '')
|
||
if _co == 'gt' and _rn <= _cn: _skip = True; break
|
||
if _co == 'gte' and _rn < _cn: _skip = True; break
|
||
if _co == 'lt' and _rn >= _cn: _skip = True; break
|
||
if _co == 'lte' and _rn > _cn: _skip = True; break
|
||
if _co == 'eq' and _rn != _cn: _skip = True; break
|
||
except: pass
|
||
if _skip:
|
||
continue
|
||
except: pass
|
||
val = enriched.get(field)
|
||
if val is not None and val != '' and str(val) != '-':
|
||
txt = str(val).strip()
|
||
if txt and txt not in seen:
|
||
seen[txt] = 1
|
||
values.append(txt)
|
||
|
||
# 数值排序
|
||
try:
|
||
values.sort(key=lambda x: float(x))
|
||
except:
|
||
values.sort()
|
||
return jsonify({"code": 0, "data": values})
|
||
|
||
sql = f"SELECT DISTINCT {db_col} AS val FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE {where_clause} AND {db_col} IS NOT NULL AND {db_col} != '' ORDER BY val"
|
||
rows = query(sql, params) if params else query(sql)
|
||
values = [r['val'] for r in rows]
|
||
# 空值检测
|
||
emptySql = f"SELECT COUNT(*) AS cnt FROM products p LEFT JOIN suppliers s ON p.supplier_code = s.supplier_code WHERE {where_clause} AND ({db_col} IS NULL OR {db_col} = '')"
|
||
emptyRows = query(emptySql, params) if params else query(emptySql)
|
||
if emptyRows and emptyRows[0]['cnt'] > 0:
|
||
values.append('__EMPTY__')
|
||
return jsonify({"code": 0, "data": values})
|