[英]Read files from azure blob storage using python azure functions
[英]How to read then edit or append an Excel Files (columns and rows ) stored in Azure Blob Storage using PowerShell or python script
我想编写一个 Azure Runbook(Powershell,Python),它将读取 Azure 存储帐户中已存在的 Excel 文件,并附加那里的数据并将文件保存回存储帐户。
我们可以通过使用 blob_service_client 获取 blob 并将数据存储到变量来实现这一点,如下所示:
blob_client = blob_service_client.get_blob_client(container="newcontainer0805", blob="source.txt")
#SOURCE CONTENTS
content = blob_client.download_blob().content_as_text
稍后我们可以以列的形式添加一些数据并可以附加它:
#INITIALIZE OUTPUT
output_str = ""
#STORE COULMN HEADERS
data= list()
data.append(list(["column1", "column2", "column3", "column4"]))
下面是完整的代码,我们可以在其中获取 blob 的数据并向其添加一些内容并将其保存在同一存储帐户内的其他容器 blob 中
import logging
import sys
import os
import azure.functions as func
from azure.storage import blob
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, __version__
def main(myblob: func.InputStream):
try:
logging.info(f"Python blob trigger function processed blob \n")
CONN_STR = "ADD_CON_STR"
blob_service_client = BlobServiceClient.from_connection_string(CONN_STR)
# MAP SOURCE FILE
blob_client = blob_service_client.get_blob_client(container="newcontainer0805", blob="source.txt")
#SOURCE CONTENTS
content = blob_client.download_blob().content_as_text
# WRITE HEADER TO A OUT PUTFILE
output_file_dest = blob_service_client.get_blob_client(container="target", blob="target.csv")
#INITIALIZE OUTPUT
output_str = ""
#STORE COULMN HEADERS
data= list()
data.append(list(["column1", "column2", "column3", "column4"]))
output_str += ('"' + '","'.join(data[0]) + '"\n')
output_file_dest.upload_blob(output_str,overwrite=True)
logging.info(' END OF FILE UPLOAD')
except Exception as e:
template = "An exception of type {0} occurred. Arguments:\n{1!r}"
message = template.format(type(e).__name__, e.args)
print (message)
if __name__ == "__main__":
main("source.txt")
我们可以根据我们添加内容的需求修改上面的代码。
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