skiptoken for large request responses

從 device_request_builder.py 和 DevicesRequestBuilderGetQueryParameters 類別開始，然後將產生的要求與 devices response 的 data_data_next_link 進行比較。確認 skiptoken 在要求 URL 中的表示方式，以及現有的 GetQueryParameters 路徑是否能夠跟隨它。完成條件是：device 分頁可以使用回傳的 next link 或 skiptoken，且不會出現所回報的建構函式錯誤。

I am looking to use the msgraph sdk for python. I want to get a list of devices in our tenant. We have thousands of devices. When using the msgraph.devices.get(), it will return 100 devices (the default limit for msgraph). Utilize the request_query=DevicesRequestBuilder.DevicesRequestBuilderGetQueryParameters(top=100,skip=100)
gives me this error msgraph.generated.models.o_data_errors.o_data_error.ODataError

After some digging in the Microsoft graph explorer for https://graph.microsoft.com/v1.0/devices?$top=100&$skip=100 gives this error

{ "error": { "code": "Request_BadRequest", "message": "'$skip' is not supported by the service.", "innerError": { "date": "2023-04-24T23:08:17", "request-id": "e077ef6b-d848-4fba-8cce-257e7188a6ec", "client-request-id": "4a9beda2-c3ee-0c9f-f012-5308f25f8954" } } }

So, skip is not supported for devices. It is the same in the beta requests.

Since I am able to get the data_data_next_link from my initial devices.get() response, I tried
request_query=DevicesRequestBuilder.DevicesRequestBuilderGetQueryParameters(top=100,skiptoken='RNFw.....')
However, I get an error TypeError: __init__() got an unexpected keyword argument skiptoken
After digging through the code, I modified device_request_builder.py, changing the DevicesRequestBuilderGetQueryParameters(): adding

 if original_name == "skiptoken":
       return "%24skiptoken
......
skiptoken: Optional[str] = None

and class DevicesRequestBuilder(): modifying

self.url_template: str = "{+baseurl}/devices{?%24top,%24skip,%24search,%24filter,%24count,%24orderby,%24select,%24expand,%24skiptoken}

These make the skiptoken available and work with GetQueryParameters.
So basically modifying this module to work with the limitations of msgraph

Is there another way to accomplish paging with devices in this python module?

If not, I can try a pull request for this.