Hello @46268530,
What version of Python you are using currently?
Can you please try and install the packages in requirements.txt by running the command pip install -r requirements.txt
? and then execute the code.
Azure Functions Locally ModuleNotFoundError: No module named 'azure.storage.blob'
I have been following this tutorial [https://learn.microsoft.com/en-us/azure/cognitive-services/form-recognizer/tutorial-azure-function?tabs=2-0][1]
Im writing in VS Code and python, on a windows computer.
I'm trying to create an Azure function with Blob Trigger. When I test the function locally, both in VS code and cmd I get the following error:
Exception: ModuleNotFoundError: No module named 'azure.storage.blob'. Troubleshooting Guide: https://aka.ms/functions-modulenotfound
from azure.storage.blob import BlobServiceClient
I've added the modules in requirements.txt:
azure-functions
cryptography
azure-storage-blob
azure-identity
requests
pandas
numpy
function.json looks like this
{
"scriptFile": "__init__.py",
"bindings": [
{
"name": "myblob",
"type": "blobTrigger",
"direction": "in",
"path": "container/{name}",
"connection": "<storageaccount>"
}
]
}
Local settings:
{
"IsEncrypted": false,
"Values": {
"AzureWebJobsStorage": "<connectionstring>",
"FUNCTIONS_WORKER_RUNTIME": "python",
"tetrastorageaccount_STORAGE": "<connectionstring>"
}
}
And init looks like this:
import logging
import azure.functions as func
from azure.storage.blob import BlobServiceClient
import json
import time
import requests
import os
from collections import OrderedDict
import numpy as np
import pandas as pd
def main(myblob: func.InputStream):
logging.info(f"Python blob trigger function processed blob \n"
f"Name: {myblob.name}\n"
f"Blob Size: {myblob.length} bytes")
# This is the call to the Form Recognizer endpoint
endpoint = r"<endpoint>"
apim_key = "<key>"
post_url = endpoint + "/formrecognizer/v2.0/Layout/analyze"
source = myblob.read()
headers = {
# Request headers
'Content-Type': 'application/pdf',
'Ocp-Apim-Subscription-Key': apim_key,
}
text1=os.path.basename(myblob.name)
resp = requests.post(url = post_url, data = source, headers = headers)
if resp.status_code != 202:
print("POST analyze failed:\n%s" % resp.text)
quit()
print("POST analyze succeeded:\n%s" % resp.headers)
get_url = resp.headers["operation-location"]
wait_sec = 25
time.sleep(wait_sec)
# The layout API is async therefore the wait statement
resp =requests.get(url = get_url, headers = {"Ocp-Apim-Subscription-Key": apim_key})
resp_json = json.loads(resp.text)
status = resp_json["status"]
if status == "succeeded":
print("Layout Analysis succeeded:\n%s")
results=resp_json
else:
print("GET Layout results failed:\n%s")
quit()
results=resp_json
# This is the connection to the blob storage, with the Azure Python SDK
blob_service_client = BlobServiceClient.from_connection_string("<connection_string>")
container_client=blob_service_client.get_container_client("container")
# Here is the upload to the blob storage
container_client.upload_blob(name="test",data=results)
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ChaitanyaNaykodi-MSFT 26,366 Reputation points Microsoft Employee
2021-07-20T23:52:43.697+00:00