microsoftgraph / microsoftgraph/msgraph-sdk-python-core

`LargeFileUploadTask.upload()` throws a 400 error when file size is smaller than max_chunk_size

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area:uploads P1 priority:p1 type:bug
主要語言
Python
星號
288
分支
52
平均合併
8 小時 10 分鐘
30 天內合併 PR
1

描述

Describe the bug

While uploading a large file using LargeFileUploadTask to a SharePoint drive location, if the overall file size is less than the max_chunk_size defined (e.g uploading a 5 KB file but the chunk size is 10 MB), the async LargeFileUploadTask.upload() method uploads the file but throws below error:

APIError:
        APIError
        Code: 400
        message: The server returned an unexpected status code and no error class is registered for this code 400
Expected behavior

The upload task should complete without any errors OR the error message should be meaningful e.g. File is too small.

How to reproduce
destination_path = "path/to/your_file.txt" # path on SharePoint drive where I want to upload the file
file_path = "path/to/your_file.txt" # A small file like 10 KB in my local system

async def upload_large_file(graph_client, drive_id):
    try:
        file = open(file_path, 'rb')
        uploadable_properties = DriveItemUploadableProperties(
            additional_data={'@microsoft.graph.conflictBehavior': 'replace'}
        )
        upload_session_request_body = CreateUploadSessionPostRequestBody(item=uploadable_properties)
        print(f"Uploadable Properties: {uploadable_properties.additional_data}")
        # can be used for normal drive uploads
        try:
            upload_session = await graph_client.drives.by_drive_id(
                drive_id
            ).items.by_drive_item_id("root:/my_docs/test_upload.txt:"
                                     ).create_upload_session.post(upload_session_request_body)
            
        except APIError as ex:
            print(f"Error creating upload session: {ex}")

        # to be used for large file uploads
        large_file_upload_session = LargeFileUploadSession(
            upload_url=upload_session.upload_url,
            expiration_date_time=datetime.now() + timedelta(days=1),
            additional_data=upload_session.additional_data,
            is_cancelled=False,
            next_expected_ranges=upload_session.next_expected_ranges
        )

        max_chunk_size = 10 * 1024 * 1024
        task = LargeFileUploadTask(
            upload_session=large_file_upload_session, 
            request_adapter=graph_client.request_adapter, 
            stream=file, 
            parsable_factory=DriveItem, 
            max_chunk_size=max_chunk_size
        )
        total_length = os.path.getsize(file_path)
        
        # Upload the file
        # The callback
        def progress_callback(uploaded_byte_range: tuple[int, int]):
            print(f"Uploaded {uploaded_byte_range[0]} bytes of {total_length} bytes\n\n")

        try:
            upload_result = await task.upload(progress_callback)
            print(f"Upload complete {upload_result}")
        except APIError as ex:
            print(f"Error uploading: {ex.message} - {ex.response_status_code}")
            raise
    except APIError as e:
        print(f"Error: {e}")
        raise

asyncio.run(upload_large_file(graph_client, drive_id))
SDK Version

1.1.7

Latest version known to work for scenario above?

No response

Known Workarounds

Changing the max_chunk_size value to (file_size - 1) seems to prevent the error from occurring.

Debug output
Click to expand log ```
</details>


### Configuration

OS: Windows 10
Architecture: x64
Python version: 3.9.19

### Other information

_No response_

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  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

研究方向

從 LargeFileUploadTask.upload() 開始,使用小於 max_chunk_size 的檔案重現回報的情況,例如使用 10 MB 的區塊大小上傳一個 5 KB 的檔案。追蹤上傳結果和隨後出現的 400 回應;當小檔案上傳完成且沒有非預期的錯誤,或回報有意義的錯誤時,即表示完成。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
python
領域
api
Issue 類型
缺陷
難度
3/5
預估耗時
1-2 天
活躍度
停滯
描述清晰度
基本清楚
新手友好度
48/100

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