Upload assets not working using Python

[rajiv-hqvfx]

I am using Python 3.7 on windows 10.

from frameioclient import FrameioClient
import os

client = FrameioClient("MY_TOKEN_HERE")

mov = "D:/Development/rc/frameio/a.mp4"
filesize = os.path.getsize(mov)

# Create a new asset.
asset = client.create_asset(
  parent_asset_id="MY_ASSET_ID",
  name="MyVideo.mp4",
  type="file",
  filetype="video/mp4",
  filesize=filesize
)

# Upload the file at the target asset.
file = open(mov, "rb")
client.upload(asset, file)

When I am trying to upload .mp4 file using python file getting error.

D:\Development\rc\frameio\venv\Scripts\python.exe D:/Development/rc/frameio/demo01.py
Traceback (most recent call last):
File "D:/Development/rc/frameio/demo01.py", line 20, in
client.upload(asset, file)
File "D:\Development\rc\frameio\venv\lib\site-packages\frameioclient\client.py", line 238, in upload
uploader.upload()
File "D:\Development\rc\frameio\venv\lib\site-packages\frameioclient\upload.py", line 33, in upload
proc.start()
File "C:\Program Files\Python37\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Program Files\Python37\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Program Files\Python37\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Program Files\Python37\lib\multiprocessing\popen_spawn_win32.py", line 89, in init
reduction.dump(process_obj, to_child)
File "C:\Program Files\Python37\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot serialize '_io.BufferedReader' object

[OxB03]

Have a look at https://spectrum.chat/frame-io/help/file-upload-error-with-the-frameio-python-client~f151149c-ec96-470e-9716-dd12abb633a9

…

On Thu, 9 Apr 2020 at 10:59, Rajiv Sharma ***@***.***> wrote: I am using Python 3.7 on windows 10. from frameioclient import FrameioClient import os client = FrameioClient("MY_TOKEN_HERE") mov = "D:/Development/rc/frameio/a.mp4" filesize = os.path.getsize(mov) # Create a new asset. asset = client.create_asset( parent_asset_id="MY_ASSET_ID", name="MyVideo.mp4", type="file", filetype="video/mp4", filesize=filesize ) # Upload the file at the target asset. file = open(mov, "rb") client.upload(asset, file) When I am trying to upload .mp4 file using python file getting error. D:\Development\rc\frameio\venv\Scripts\python.exe D:/Development/rc/frameio/demo01.py Traceback (most recent call last): File "D:/Development/rc/frameio/demo01.py", line 20, in client.upload(asset, file) File "D:\Development\rc\frameio\venv\lib\site-packages\frameioclient\client.py", line 238, in upload uploader.upload() File "D:\Development\rc\frameio\venv\lib\site-packages\frameioclient\upload.py", line 33, in upload proc.start() File "C:\Program Files\Python37\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "C:\Program Files\Python37\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Program Files\Python37\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Program Files\Python37\lib\multiprocessing\popen_spawn_win32.py", line 89, in *init* reduction.dump(process_obj, to_child) File "C:\Program Files\Python37\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) TypeError: cannot serialize '_io.BufferedReader' object — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#32>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAM2LJCAJ3QEV3JVBL3QIVTRLWE5PANCNFSM4MER745Q> .

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[rajiv-hqvfx]

Its working now.
I changed this in upload.py

# from multiprocessing import Process
from multiprocessing_on_dill import Process

[jhodges10]

@vfxpandit @OxB03 I'm about to merge in a big update that should fix all the uploader woes as well as introduces more testing around python versions so that this doesn't happen in the future!

I don't necessarily recommend using that multiprocessing_on_dill library as it isn't very actively maintained / used. The solution in #35 is done using standard python libraries which should make it more reliable.

[jhodges10]

I have now merged this into master and released v0.7.5. This should fix your problem!