Programmiererforum

import pickle

# Create a pickle
small_object = list(range(0,1000))
name = 'small_file.pkl'

with open(name, 'wb') as f:
pickle.dump(small_object, f)

#### Verify integrity ###

# Loading from disk
with open(name, 'rb') as f:
opened_object_one = pickle.load(f)
print(opened_object_one) # prints expected list

# Loading from byte stream
with open('small_object.pkl', 'rb') as f:
opened_object_two = f.read()
print(pickle.loads(opened_object_two)) # print expected list

import logging
import pickle

app = func.FunctionApp()

@app.route(route="http_trigger", auth_level=func.AuthLevel.FUNCTION)
@app.blob_input(
arg_name = 'client',
path = '/small_file.pkl',
connection ='AzureWebJobsStorage'
)
def http_trigger(req: func.HttpRequest, client) -> func.HttpResponse:

# `client` is of type azure.functions.blob.InputStream
package_bytes = client.read() # return bytes
client.close()

small_object = pickle.loads(package_bytes)

Ich entwickle eine Azure -Funktion , um Schlussfolgerungen aus einem maschinellen Lernmodell zu liefern. Das Modell wird als .pkl -Datei in Azure Blob Storage gespeichert. Alle Versuche lesen die Datei in Python fehl. < /h4>
[code]import pickle

# Create a pickle
small_object = list(range(0,1000))
name = 'small_file.pkl'

with open(name, 'wb') as f:
pickle.dump(small_object, f)

#### Verify integrity ###

# Loading from disk
with open(name, 'rb') as f:
opened_object_one = pickle.load(f)
print(opened_object_one) # prints expected list

# Loading from byte stream
with open('small_object.pkl', 'rb') as f:
opened_object_two = f.read()
print(pickle.loads(opened_object_two)) # print expected list

[/code]
[h4]Azure-Funktionscode[/h4]
[code]import logging
import pickle

app = func.FunctionApp()

@app.route(route="http_trigger", auth_level=func.AuthLevel.FUNCTION)
@app.blob_input(
arg_name = 'client',
path = '/small_file.pkl',
connection ='AzureWebJobsStorage'
)
def http_trigger(req: func.HttpRequest, client) -> func.HttpResponse:

# `client` is of type azure.functions.blob.InputStream
package_bytes = client.read() # return bytes
client.close()

small_object = pickle.loads(package_bytes)
[/code]
Ich gib meine virtuelle Umgebung mit Quelle .venv/scripts/aktivieren (Ich verwende GitBash ). Dann reite ich lokal mit dem Func -Host -Start aus und löste die Funktion aus, indem ich dem Link zum relevanten Localhost -Endpunkt folge. console. Ich habe versucht, die Gurke sowohl mit dem Azure Cli als auch mit Firefox zu laden. Ich erhalte immer die gleichen Ergebnisse.
Ich bin unter Windows 10 mit Python 3.10.5.>