Azure Storage File Data Lake SDK Acceptance Criteria

SDK: azure-storage-file-datalakeRepository: https://github.com/Azure/azure-sdk-for-pythonCommit: mainPurpose: Skill testing acceptance criteria for validating generated code correctness

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1. Correct Import Patterns

1.1 Client Imports

✅ CORRECT: Sync Clients

from azure.storage.filedatalake import (
    DataLakeServiceClient,
    FileSystemClient,
    DataLakeDirectoryClient,
    DataLakeFileClient,
)
from azure.identity import DefaultAzureCredential

✅ CORRECT: Async Clients

from azure.storage.filedatalake.aio import DataLakeServiceClient
from azure.identity.aio import DefaultAzureCredential

1.2 Anti-Patterns (ERRORS)

❌ INCORRECT: Importing from Blob SDK

# WRONG - Data Lake Gen2 uses filedatalake, not blob
from azure.storage.blob import BlobServiceClient

❌ INCORRECT: Mixing sync and async imports

# WRONG - async client with sync credential
from azure.storage.filedatalake.aio import DataLakeServiceClient
from azure.identity import DefaultAzureCredential

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2. Authentication Patterns

✅ CORRECT: DefaultAzureCredential with DFS endpoint

import os
from azure.identity import DefaultAzureCredential
from azure.storage.filedatalake import DataLakeServiceClient

account_url = os.environ["AZURE_STORAGE_ACCOUNT_URL"]
credential = DefaultAzureCredential()

service_client = DataLakeServiceClient(
    account_url=account_url,
    credential=credential,
)

❌ INCORRECT: Hardcoded keys or connection strings

# WRONG - avoid account keys/connection strings in skill guidance
service_client = DataLakeServiceClient(
    account_url="https://myaccount.dfs.core.windows.net",