不幸的是，我们目前还没有很好的文档。你应该能够在这个集成测试中设置AZURE_STORAGE_ACCOUNT和AZURE_STORAGE_SAS环境变量。
这将确保Python绑定可以访问表元数据，但通常通过Pandas获取查询数据，我不确定Pandas是否也会处理这些变量（我自己不是ADLSv2用户）。

一种可能的解决方法是将delta lake文件下载到一个tmp-dir，然后使用python-delta-rs读取这些文件，如下所示：

from azure.storage.blob import BlobServiceClient
import tempfile
from deltalake import DeltaTable

def get_blobs_for_folder(container_client, blob_storage_folder_path):
    blob_iter = container_client.list_blobs(name_starts_with=blob_storage_folder_path)
    blob_names = []
    for blob in blob_iter:
        if "." in blob.name:
            # To just get files and not directories, there might be a better way to do this
            blob_names.append(blob.name)

    return blob_names

def download_blob_files(container_client, blob_names, local_folder):
    for blob_name in blob_names:
        local_filename = os.path.join(local_folder, blob_name)
        local_file_dir = os.path.dirname(local_filename)
        if not os.path.exists(local_file_dir):
            os.makedirs(local_file_dir)

        with open(local_filename, 'wb') as f:
            f.write(container_client.download_blob(blob_name).readall())

def read_delta_lake_file_to_df(blob_storage_path, access_key):
    blob_storage_url = "https://your-blob-storage"
    blob_service_client = BlobServiceClient(blob_storage_url, credential=access_key)
    container_client = blob_service_client.get_container_client("your-container-name")

    blob_names = get_blobs_for_folder(container_client, blob_storage_path)
    with tempfile.TemporaryDirectory() as tmp_dirpath:
        download_blob_files(container_client, blob_names, tmp_dirpath)
        local_filename = os.path.join(tmp_dirpath, blob_storage_path)
        dt = DeltaTable(local_filename)
        df = dt.to_pyarrow_table().to_pandas()
    return df