Microsoft Azure 计时器功能未将文件上传到 blob 存储

Question

我正在尝试做一个计时器触发器，每隔 5 分钟，该函数会将一个文件上传到我的 blob 存储中。

当我在本地运行我的代码时，它可以工作，但在 Azure 上部署时它会失败。 任何帮助将不胜感激。

主要方法

device_client = IoTHubDeviceClient.create_from_connection_string(CONNECTION_STRING)
PATH_TO_FILE = wget.download("link-of-something", out=os.getcwd()) 
device_client.connect()
blob_name = os.path.basename(PATH_TO_FILE)
storage_info = device_client.get_storage_info_for_blob(blob_name)
store_blob(storage_info, PATH_TO_FILE)
device_client.shutdown()

辅助方法

def store_blob(blob_info, file_name):
    try:
        sas_url = "https://{}/{}/{}{}".format(
            blob_info["hostName"],
            blob_info["containerName"],
            blob_info["blobName"],
            blob_info["sasToken"]
        )

        print("\nUploading file: {} to Azure Storage as blob: {} in container {}\n".format(file_name, blob_info["blobName"], blob_info["containerName"]))

        # Upload the specified file
        with BlobClient.from_blob_url(sas_url) as blob_client:
            with open(file_name, "rb") as f:
                result = blob_client.upload_blob(f, overwrite=True)
                return (True, result)

    except FileNotFoundError as ex:
        # catch file not found and add an HTTP status code to return in notification to IoT Hub
        ex.status_code = 404
        return (False, ex)

    except AzureError as ex:
        # catch Azure errors that might result from the upload operation
        return (False, ex)

• 这是错误日志（已编辑）

Result: Failure Exception: OSError: [Errno 30] Read-only file system: './nasa_graphics_manual_nhb_1430-2_jan_1976.pdfjo243l48.tmp' Stack: File "/azure-functions-host/workers/python/3.9/LINUX/X64/azure_functions_worker/dispatcher.py", line 407, in _handle__invocation_request call_result = await self._loop.run_in_executor( File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run result = self.fn(*self.args, **self.kwargs) File "/azure-functions-host/workers/python/3.9/LINUX/X64/azure_functions_worker/dispatcher.py", line 649, in _run_sync_func return ExtensionManager.get_sync_invocation_wrapper(context, File "/azure-functions-host/workers/python/3.9/LINUX/X64/azure_functions_worker/extension.py", line 215, in _raw_invocation_wrapper result = function(**args) File "/home/site/wwwroot/azure-function-timer/__init__.py", line 134, in main PATH_TO_FILE = wget.download("https://www.nasa.gov/sites/default/files/atoms/files/nasa_graphics_manual_nhb_1430-2_jan_1976.pdf", out=os.getcwd()) # wget to get the filename and path File "/home/site/wwwroot/.python_packages/lib/site-packages/wget.py", line 506, in download (fd, tmpfile) = tempfile.mkstemp(".tmp", prefix=prefix, dir=".") File "/usr/local/lib/python3.9/tempfile.py", line 336, in mkstemp return _mkstemp_inner(dir, prefix, suffix, flags, output_type) File "/usr/local/lib/python3.9/tempfile.py", line 255, in _mkstemp_inner fd = _os.open(file, flags, 0o600)

Answer 1

您可以做的是使用 docker 将函数容器化，并在容器内放置文件，以便您以后可以读取文件。

因为如果您不对函数进行容器化，则只会部署函数的代码而不部署文件。

有关深入解释，请参阅此文档。