pandas

waldom_data_process_RMB.py

 import csv
 import csv
 import json
 import json
 import logging
 import logging
+import pandas as pd
+
 
 
 logging.basicConfig(level=logging.INFO, filename='waldom_dollar.log',
 logging.basicConfig(level=logging.INFO, filename='waldom_dollar.log',
                     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
                     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
 logger = logging.getLogger('waldom_data_process_RMB.py')
 logger = logging.getLogger('waldom_data_process_RMB.py')
 
 
 title_map = {
 title_map = {
-
+    'Manufacturer Name', 'Part Number', 'Stock EMEA', 'Stock USA', 'Stock APAC', 'Stock CN', 'MOQ',
+    'Price Break Qty 1', 'Price Break Qty 2', 'Price Break Qty 3', 'Price Break Qty 4',
+    'Price Break Qty 5', 'Price Break Qty 6', 'Price Break Qty 7', 'Price Break Qty 8',
+    'Price Break Qty 9', 'Date Code'
 }
 }
 
 
+class HandleCSV:
+    def parse(self, path):
+        df = pd.read_excel(path, nrows=0)
+        first_row = []
+        for i in range(len(df.columns)):
+            first_row.append(df.columns[i])
+        if not self.validate(first_row):
+            logger.error("文件 %s 格式错误" % path)
+            return []
+        print(first_row)
+
+
+
+
+    def validate(self, arr: list) -> bool:
+        size = len(title_map)
+        count = 0
+        for i in range(len(arr)):
+            if arr[i] in title_map:
+                count += 1
+        return count == size
+
+
+if __name__ == '__main__':
+    HandleCSV().parse('Tianyang_Inventory_Feed_RMB.xlsx')