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py_spider/amzon_parse_db_html/to_keyword_pg.py

+# import pandas as pd
+#
+# file_path = r"C:\Users\ASUS\Downloads\Result_65.xlsx"
+# df = pd.read_excel(file_path)
+#
+# # 去掉列名可能存在的空格（很常见：'keywordId ' 这种）
+# df.columns = df.columns.str.strip()
+#
+# # 按原始列名映射到数据库字段名
+# rename_map = {
+#     "keywordId": "keyword_id",
+#     "keywordText": "search_term",
+#     "adGroupId": "adgroupid",
+#     "campaignId": "campaignid",
+#     "adId": "adid",
+#     "sku": "sku",
+# }
+#
+# df = df.rename(columns=rename_map)
+#
+# # 只保留表里需要的6列，并按表结构排序
+# need_cols = ["search_term", "keyword_id", "adgroupid", "campaignid", "adid", "sku"]
+# df = df[need_cols]
+#
+# print(df.columns)
+# print(df.head())
+# from utils.secure_db_client import get_remote_engine
+# engine = get_remote_engine('us', 'postgresql_14')
+# engine.to_sql(df,'sp_search_term_syn',  if_exists='append')
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