完善采购审批流程、企业微信通知和采购专用章

2026-09-16 11:45:21 +08:00
parent 4876d8805d
commit bf952196fa
58 changed files with 3451 additions and 1909 deletions
@@ -0,0 +1,147 @@
+import os
+import uuid
+from pathlib import Path
+from flask import current_app
+
+
+def save_upload(file):
+    if not file or not file.filename:
+        raise ValueError('请选择 Excel 文件')
+    extension = Path(file.filename).suffix.lower()
+    if extension not in ('.xls', '.xlsx'):
+        raise ValueError('仅支持 .xls 和 .xlsx 文件')
+    path = os.path.join(current_app.config['PO_UPLOADS'], uuid.uuid4().hex + extension)
+    file.save(path)
+    return path
+
+
+def read_rows(path):
+    """读取 xlsx/xls 明细，返回 [代码,规格,单位,数量,单价,交期,备注]。"""
+    ext = os.path.splitext(path)[1].lower()
+    grid = []
+    if ext in (".xlsx", ".xlsm"):
+        import openpyxl
+        wb = openpyxl.load_workbook(path, data_only=True, read_only=True)
+        for row in wb[wb.sheetnames[0]].iter_rows(values_only=True):
+            grid.append(["" if c is None else c for c in row])
+        wb.close()
+    else:
+        import xlrd
+        bk = xlrd.open_workbook(path)
+        sh = bk.sheet_by_index(0)
+        for r in range(sh.nrows):
+            grid.append([xlrd.xldate_as_datetime(sh.cell_value(r, c), bk.datemode)
+                         if sh.cell_type(r, c) == xlrd.XL_CELL_DATE else sh.cell_value(r, c)
+                         for c in range(sh.ncols)])
+    keys = {"code": [u"代码", u"料号", u"物料编码", u"品号"],
+            "spec": [u"规格", u"名称", u"品名", u"描述"],
+            "unit": [u"单位"],
+            "qty": [u"数量", u"数量(QTY)"],
+            "price": [u"单价", u"含税单价", u"价格"],
+            "date": [u"交期", u"交货日期", u"日期"],
+            "remark": [u"备注"]}
+    order = ["code", "spec", "unit", "qty", "price", "date", "remark"]
+    header_idx = None
+    for i, row in enumerate(grid[:8]):
+        text = " ".join(str(c) for c in row)
+        if any(k in text for k in keys["code"]) and any(k in text for k in keys["qty"]):
+            header_idx = i
+            break
+    if header_idx is None:
+        return [[c for c in row[:7]] for row in grid]
+    heads = [str(c or "").strip() for c in grid[header_idx]]
+    mapping = {}
+    for idx, h in enumerate(heads):
+        for k, ks in keys.items():
+            if any(x in h for x in ks):
+                mapping[k] = idx
+                break
+    out = []
+    for row in grid[header_idx + 1:]:
+        vals = []
+        for k in order:
+            i = mapping.get(k)
+            vals.append(row[i] if (i is not None and i < len(row)) else "")
+        out.append(vals)
+    return out
+
+
+def read_table(path, keys, order):
+    """通用表格读取：按关键词映射表头，返回按 order 排列的二维列表。
+
+    与 read_rows() 的区别是表头判定更宽松（命中任意关键词即可），
+    因为物料表 / 供应商表都没有"数量"列，套用 read_rows 会退化成按位置读。
+    """
+    ext = os.path.splitext(path)[1].lower()
+    grid = []
+    if ext in (".xlsx", ".xlsm"):
+        import openpyxl
+        wb = openpyxl.load_workbook(path, data_only=True, read_only=True)
+        for row in wb[wb.sheetnames[0]].iter_rows(values_only=True):
+            grid.append(["" if c is None else c for c in row])
+        wb.close()
+    else:
+        import xlrd
+        bk = xlrd.open_workbook(path)
+        sh = bk.sheet_by_index(0)
+        for r in range(sh.nrows):
+            grid.append([xlrd.xldate_as_datetime(sh.cell_value(r, c), bk.datemode)
+                         if sh.cell_type(r, c) == xlrd.XL_CELL_DATE else sh.cell_value(r, c)
+                         for c in range(sh.ncols)])
+    header_idx = None
+    for i, row in enumerate(grid[:8]):
+        text = " ".join(str(c) for c in row)
+        if any(any(k in text for k in ks) for ks in keys.values()):
+            header_idx = i
+            break
+    if header_idx is None:
+        return [list(row[:len(order)]) for row in grid]
+    heads = [str(c or "").strip() for c in grid[header_idx]]
+    mapping = {}
+    for idx, h in enumerate(heads):
+        for k, ks in keys.items():
+            if k in mapping:
+                continue
+            if any(x in h for x in ks):
+                mapping[k] = idx
+                break
+    out = []
+    for row in grid[header_idx + 1:]:
+        vals = []
+        for k in order:
+            i = mapping.get(k)
+            vals.append(row[i] if (i is not None and i < len(row)) else "")
+        out.append(vals)
+    return out
+
+
+MATERIAL_KEYS = {
+    "code": [u"物料代码", u"料号", u"物料编码", u"品号", u"代码"],
+    "spec": [u"规格", u"名称", u"品名", u"描述"],
+    "unit": [u"单位"],
+    "price": [u"单价", u"价格"],
+}
+MATERIAL_ORDER = ["code", "spec", "unit", "price"]
+
+SUPPLIER_KEYS = {
+    "code": [u"编号", u"供应商编号", u"代码"],
+    "name": [u"名称", u"供应商名称", u"公司"],
+    "contact": [u"联系人"],
+    "phone": [u"电话", u"手机", u"联系方式"],
+    "payment_terms": [u"付款方式", u"结算方式", u"账期"],
+    "tax_no": [u"税号", u"纳税人识别号"],
+    "bank_name": [u"开户银行", u"银行名称"],
+    "bank_account": [u"银行帐号", u"银行账号", u"帐号", u"账号"],
+}
+SUPPLIER_ORDER = ["code", "name", "contact", "phone", "payment_terms",
+                  "tax_no", "bank_name", "bank_account"]
+
+
+def read_material_rows(path):
+    """读取物料表，返回 [代码, 规格, 单位, 单价]。"""
+    return read_table(path, MATERIAL_KEYS, MATERIAL_ORDER)
+
+
+def read_supplier_rows(path):
+    """读取供应商表，返回 [编号,名称,联系人,电话,付款方式,税号,开户银行,银行帐号]。"""
+    return read_table(path, SUPPLIER_KEYS, SUPPLIER_ORDER)