38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
import json
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import pandas as pd
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def getQueries_From_json(json_name):
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# 打开并读取JSON文件
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with open(json_name + ".json", "r", encoding="utf-8-sig") as file:
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data = json.load(file)
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# 从JSON数据中提取所有名为"Execute DAX Query"的事件中的QueryText
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queries = [
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event["metrics"]["QueryText"]
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for event in data["events"]
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if event["name"] == "Execute DAX Query"
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]
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return queries
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def getQueries_From_excel(excel_name):
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# 使用pandas读取Excel文件
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df = pd.read_excel(excel_name, engine="openpyxl")
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# 在DataFrame中添加一个新的列"NAME"，其值为"EVALUATE '" + 原始的"NAME"列值 + "'"
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df["NAME"] = "EVALUATE '" + df["NAME"] + "'"
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# 将新的"NAME"列转换为列表
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queries = df["NAME"].to_list()
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return queries
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if __name__ == "__main__":
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import os
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from config import CURRENT_DIR_PATH, EXPORT_PAGE_JSON_NAME_1
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# 获取当前脚本所在的目录路径
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EXPORT_PAGE_JSON_PATH_1 = os.path.join(
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CURRENT_DIR_PATH, "Export_Json", EXPORT_PAGE_JSON_NAME_1
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)
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queries = getQueries_From_json(EXPORT_PAGE_JSON_PATH_1)
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print(queries)
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