Security support for Python 2.7 has expired 4 years ago and keeping the compatibility active in opencue's python modules has led to extra work and is preventing some PRs from being merged because they depend on python 3 packages. With this in mind, we're starting to discuss the possibility of dropping python 2.7 support soon. Is anyone still depending on Python 2.7 compatibility that would be impacted by this action? Are there any objections to this proposal? Thanks in advance-- Diego Tavares Sony Pictures Imageworks 604 754 9787

Hi, Is there a way to get metrics from opencue for all the jobs that has been submitted and by whom? Trying to get metrics and availability in our farm. Thanks, Abdalla ElNour

Hi, I've a setup with a cuebot machine connected to another machine which hosts the postgres DB. Unfortunately, RQD connected to the Cuebot throw this error: Traceback (most recent call last): File "c:\rez\packages\release\pycue\0.22.14\python\opencue\util.py", line 44, in _decorator return grpcFunc(*args, **kwargs) File "c:\rez\packages\release\pycue\0.22.14\python\opencue\api.py", line 201, in createShow return Show(Cuebot.getStub('show').CreateShow( File "c:\rez\packages\release\grpcio\1.62.1\9a5efe8122bcc3bce953fc24bff5c7d970b88fbe\python\grpc\_interceptor.py", line 277, in __call__ response, ignored_call = self._with_call( File "c:\rez\packages\release\grpcio\1.62.1\9a5efe8122bcc3bce953fc24bff5c7d970b88fbe\python\grpc\_interceptor.py", line 332, in _with_call return call.result(), call File "c:\rez\packages\release\grpcio\1.62.1\9a5efe8122bcc3bce953fc24bff5c7d970b88fbe\python\grpc\_channel.py", line 439, in result raise self File "c:\rez\packages\release\grpcio\1.62.1\9a5efe8122bcc3bce953fc24bff5c7d970b88fbe\python\grpc\_interceptor.py", line 315, in continuation response, call = self._thunk(new_method).with_call( File "c:\rez\packages\release\grpcio\1.62.1\9a5efe8122bcc3bce953fc24bff5c7d970b88fbe\python\grpc\_channel.py", line 1193, in with_call return _end_unary_response_blocking(state, call, True, None) File "c:\rez\packages\release\grpcio\1.62.1\9a5efe8122bcc3bce953fc24bff5c7d970b88fbe\python\grpc\_channel.py", line 1005, in _end_unary_response_blocking raise _InactiveRpcERROR(state) # pytype: disable=not-instantiable grpc._channel._InactiveRpcERROR: <_InactiveRpcERROR of RPC that terminated with: status = StatusCode.INTERNAL details = "Show could not be created.Incorrect result size: expected 1, actual 0" debug_ERROR_string = "UNKNOWN:ERROR received from peer {grpc_message:"Show could not be created.Incorrect result size: expected 1, actual 0", grpc_status:13, created_time:"2024-04-26T09:27:23.9197269+00:00"}" And on the Cuebot side it throws this error: avril 26 12:11:13 SRV-CGRU01 bash[1211202]: INFO: Transport failed avril 26 12:11:13 SRV-CGRU01 bash[1211202]: io.grpc.netty.shaded.io.netty.handler.codec.http2.Http2Exception: HTTP/2 client preface string missing or corrupt. Hex dump for received bytes: 16030100ca010000c603036afba82a0a457db61497d52612 avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.http2.Http2Exception.connectionError(Http2Exception.java:108) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.http2.Http2ConnectionHandler$PrefaceDecoder.readClientPrefaceString(Http2ConnectionHandler.java:306) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.http2.Http2ConnectionHandler$PrefaceDecoder.decode(Http2ConnectionHandler.java:239) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.http2.Http2ConnectionHandler.decode(Http2ConnectionHandler.java:438) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.ByteToMessageDecoder.decodeRemovalReentryProtection(ByteToMessageDecoder.java:507) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.ByteToMessageDecoder.callDecode(ByteToMessageDecoder.java:446) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:276) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357) avril 26 12:11:13 SRV-CGRU01 bash[1211202]: at io.grpc.netty.shaded.io.netty.channel.DefaultChannelPipeline$HeadC

hi all, im reading this guide https://www.opencue.io/docs/getting-started/installing-cuesubmit/ but i'm struggling getting cuesubmit plugin to work with nuke windows, this is whats in my "menu.py" file import os import nuke # Path to Python binary used to execute the CueSubmit app. If you set up # virtualenv, use this path. If you're using a systemwide Python install, # you can probably set this to be just "python". os.environ['CUE_PYTHON_BIN'] = 'C:\opencue\venv\Scripts' # Hostname of your Cuebot instance. os.environ['CUEBOT_HOSTS'] = '10.110.130.76' nuke.pluginAddPath('c:\opencue\cuesubmit-0.22.14-all\plugins\nuke') pretty sure my "cue python bin" is not right, can anyone help please thanks, rob -- Regards, Robert K Wild.

hi all, when i open cuesubmit is there a way to change facility to be local by default instead of [Default] thanks, rob -- Regards, Robert K Wild.

hi all, im having problems rendering nuke jobs via opencue, i get this message in the logs ERROR: Unable to create disk cache at C:/temp/nuke. Please modify the value of DiskCachePath in the preferences13.2.nk file located in the .nuke folder. Alternatively, set the environment variable NUKE_DISK_CACHE to a valid path with read and write permissions and restart the Application. i have made a system environment variable on my windows variable name: NUKE_DISK_CACHE variable value: %userprofile%\.nuke restarted nuke and also opencue but its still not working, getting the same error anything else i can try thanks, rob -- Regards, Robert K Wild.

Hi all, So now I've got opencue to work with Maya everytime I render via opencue it puts a watermark on the render image(s), that's because Arnold requires an additional license, is there another render engine I can use to not get the watermarks Thanks, Rob

hi all, getting errors and i dont know if the errors are to be concerned about or not heres the log of one frame =========================================================== RenderQ JobSpec Mon Feb 12 11:32:06 2024 proxy rqd.rqnetwork.RunningFrame/83a47e47-2b0e-49e3-b9de-ddde763268e7 -t:tcp -h 10.110.110.128 -p 10021 command Render -r file -s 88 -e 88 -cam camera1 C:/Users/gfx05_uk/Desktop/test/TEST.ma uid 1 gid 20 logDestination c:/opencue/logs/testing/989/logs/testing-989-gfx05_uk_989--8d9c5ef2-abe1-47de-b710-b0a4fe6e34fb\testing-989-gfx05_uk_989.0088-989.rqlog cwd C:\Users\gfx05_uk\AppData\Local\Temp/testing-989-gfx05_uk_989\0088-989 renderHost 10.110.110.128 jobId 8d9c5ef2-abe1-47de-b710-b0a4fe6e34fb frameId 83a47e47-2b0e-49e3-b9de-ddde763268e7 env APPDATA=C:\Users\gfx05_uk\AppData\Roaming env COMMONPROGRAMFILES=C:\Program Files\Common Files env CUE3=1 env CUE_CHUNK=1 env CUE_FRAME=0088-989 env CUE_FRAME_ID=83a47e47-2b0e-49e3-b9de-ddde763268e7 env CUE_GPUS=0 env CUE_GPU_MEMORY=3145728 env CUE_IFRAME=88 env CUE_JOB=testing-989-gfx05_uk_989 env CUE_JOB_ID=8d9c5ef2-abe1-47de-b710-b0a4fe6e34fb env CUE_LAYER=989 env CUE_LAYER_ID=ff82d4f5-5fb9-4492-b1df-80ea4df40d2e env CUE_LOG_PATH=c:/opencue/logs/testing/989/logs/testing-989-gfx05_uk_989--8d9c5ef2-abe1-47de-b710-b0a4fe6e34fb env CUE_MEMORY=3145728 env CUE_RANGE=1-100 env CUE_SHOT=989 env CUE_SHOW=testing env CUE_THREADABLE=0 env CUE_THREADS=1 env CUE_USER=GFX05_uk env LOGNAME=GFX05_uk env PATH=C:\opencue\venv\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.3\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.3\libnvvp;C:\Program Files\Python310\Scripts\;C:\Program Files\Python310\;C:\Program Files\Eclipse Adoptium\jre-8.0.382.5-hotspot\bin;C:\Program Files\Eclipse Adoptium\jre-17.0.8.7-hotspot\bin;C:\Program Files\Eclipse Adoptium\jre-11.0.20.8-hotspot\bin;C:\Program Files (x86)\Eclipse Adoptium\jre-8.0.382.5-hotspot\bin;C:\Program Files\Microsoft\jdk-11.0.16.101-hotspot\bin;C:\Program Files\Python311\Scripts\;C:\Program Files\Python311\;C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64_win\compiler;C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program Files (x86)\QuickTime\QTSystem\;C:\Program Files (x86)\Extensis\Universal Type Client\;C:\Windows\gpfs_cygwin\usr\lpp\mmfs\win;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files\dotnet\;C:\Program Files\PuTTY\;C:\Program Files\Microsoft VS Code\bin;C:\Program Files (x86)\dotnet\;C:\Program Files\Mellanox\MLNX_WinOF2\Management Tools;C:\Program Files\Mellanox\MLNX_WinOF2\Performance Tools;C:\Program Files\Mellanox\MLNX_WinOF2\Diagnostic Tools;C:\Program Files\WireGuard\;C:\Program Files\Autodesk\Maya2024\bin;C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1\;C:\Users\gfx05_uk\AppData\Local\Microsoft\WindowsApps; env SP_NOMYCSHRC=1 env SYSTEMDRIVE=C: env SYSTEMROOT=C:\Windows env TERM=unknown env TMP=C:\Users\gfx05_uk\AppData\Local\Temp env TZ=PST8PDT env USER=GFX05_uk env frame=0088-989 env jobhost=10.110.110.128 env jobid=testing-989-gfx05_uk_989 env logfile=testing-989-gfx05_uk_989.0088-989.rqlog env maxframetime=0 env mcp=1 env minspace=200 env shot=989 env show=testing env zframe=0088-989 =========================================================== c:\opencue\venv\Scripts>Render -r file -s 88 -e 88 -cam camera1 C:/Users/gfx05_uk/Desktop/test/TEST.ma Starting "C:\Program Files\Autodesk\Maya2024\bin\mayabatch.exe" Initialized VP2.0 renderer { Version : 2016.11.62.12. Feature Level 5. Adapter : NVIDIA GeForce RTX 2080/PCIe/SSE2 Vendor ID: 4318. Device ID : 7810 Driver : C:\Windows\System32\DriverStore\FileRepository\nv_dispui.inf_amd64_74cdc804095ee524\nvoglv64.dll.dll:31.0.15.4612. API : OpenGL V.4.6. Max texture size : 16384 * 16384. Max texture coords : 32 Shader versions s

hi all, maya/blender work for cpu rendering but now i want to get gpu rendering to work i have changed this in my rqd.bat file echo GPU=True >> %localappdata%\OpenCue\rqd.conf i next run rqd.bat and cuegui.bat and under "monitor hosts" in cuetopia i can see it sees my gpu now as it says 1, where as before when i changed gpu=false it was blank in blender/maya i have also enabled gpu rendering but when i submit a blender/maya job, the job is stuck on "waiting" as the frame(s) dont get picked up by my host, where as before when it was set to cpu rendering my host picked it up and run the frames any help in this please thanks, rob -- Regards, Robert K Wild.

hi all, getting this error when im trying to submit a job from cuesubmit https://i.postimg.cc/9Fsb01sm/failed-job-submission.png if you dont want to open the link Failed Job Submission Server caught an internal exception. Failed to launch and add job: Incorrect result size: expected 1, actual 0 thanks, rob -- Regards, Robert K Wild.

hi all, i have raised a issue on github but i thought i would try here as there maybe a wider audience on here maya on windows just does not render with opencue, i always get multiple popup errors mayabatch.exe application error the application was unable to start correctly heres the link to my post https://github.com/AcademySoftwareFoundation/OpenCue/issues/1310 angelali-ms has come up with a solution that you use pyoutline to submit rather than cuesubmit with a variable 'systemdrive=c' i was just wondering when this issue is going to get fixed thanks, rob -- Regards, Robert K Wild.

Hi, I cannot find a way to set tags with the pyoutline API. I can see something exists in the wrappers but I cannot figure how to do it when building a layer with python. Is it something missing or am I missing something? Cheers!

Hi, The added layers are unable to start on my single host. I get this error message 'Not launching, insufficient GPUs to reserve based on reservedGpus' and I cannot figure how to make it work. I don't know if this is relevant, but I've recently added several projects to my cuebot instance, and the layers have been added to a newly created show. I've checked the defaults min GPUs is set to 1. The show has been subscribed to the allocation my single host is tied to. I've also checked the layer has a GPU amount set to '1'. What is the key of this deep mystery? Thanks for helping, cheers!

Hi, I'm trying to lock a host with cueadmin and I get two error messages: after cueadmin -host 10.10.10.165 -lock: Error: <_InactiveRpcError of RPC that terminated with: status = StatusCode.INTERNAL details = "com.imageworks.spcue.rqd.RqdClientException: failed to lock host: 10.10.10.165 failed to lock host: 10.10.10.165" debug_error_string = "{"created":"@1698769150.135867587","description":"Error received from peer ipv4:10.10.10.15:8443","file":"src/core/lib/surface/call.cc","file_line":966,"grpc_message":"com.imageworks.spcue.rqd.RqdClientException: failed to lock host: 10.10.10.165\nfailed to lock host: 10.10.10.165","grpc_status":13}" >. Cuebot log: 2023-10-31 17:05:13,275 ERROR grpc-default-executor-1 com.imageworks.common.spring.remoting.CueServerInterceptor - Caught an unexpected error. com.imageworks.spcue.rqd.RqdClientException: failed to lock host: 10.10.10.165 at com.imageworks.spcue.rqd.RqdClientGrpc.lockHost(RqdClientGrpc.java:136) ~[classes!/:?] at com.imageworks.spcue.rqd.RqdClientGrpc.setHostLock(RqdClientGrpc.java:124) ~[classes!/:?] at com.imageworks.spcue.service.HostManagerService.setHostLock(HostManagerService.java:76) ~[classes!/:?] at com.imageworks.spcue.service.HostManagerService$$FastClassBySpringCGLIB$$e9d4415b.invoke(<generated>) ~[classes!/:?] at org.springframework.cglib.proxy.MethodProxy.invoke(MethodProxy.java:218) ~[spring-core-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.invokeJoinpoint(CglibAopProxy.java:769) ~[spring-aop-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:163) ~[spring-aop-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:747) ~[spring-aop-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.transaction.interceptor.TransactionAspectSupport.invokeWithinTransaction(TransactionAspectSupport.java:366) ~[spring-tx-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.transaction.interceptor.TransactionInterceptor.invoke(TransactionInterceptor.java:99) ~[spring-tx-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:186) ~[spring-aop-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:747) ~[spring-aop-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:689) ~[spring-aop-5.2.1.RELEASE.jar!/:5.2.1.RELEASE] at com.imageworks.spcue.service.HostManagerService$$EnhancerBySpringCGLIB$$6b11faaf.setHostLock(<generated>) ~[classes!/:?] at com.imageworks.spcue.servant.ManageHost.lock(ManageHost.java:157) ~[classes!/:?] at com.imageworks.spcue.grpc.host.HostInterfaceGrpc$MethodHandlers.invoke(HostInterfaceGrpc.java:2063) ~[classes!/:?] at io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182) ~[grpc-stub-1.47.0.jar!/:1.47.0] at io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35) ~[grpc-api-1.47.0.jar!/:1.47.0] at io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23) ~[grpc-api-1.47.0.jar!/:1.47.0] at io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40) ~[grpc-api-1.47.0.jar!/:1.47.0] at com.imageworks.common.spring.remoting.CueServerInterceptor$1.onHalfClose(CueServerInterceptor.java:32) [classes!/:?] at io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:352) [grpc-core-1.47.0.jar!/:1.47.0] at io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:866) [grpc-core-1.47.0.jar!/:1.47.0] at io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37) [grpc-core-1.47.0.jar!/:1.47.0] at io.grpc.internal.Se

hello, cuegui is really slow to update, it can take like a minute to get the gui or logview to refresh. When doing many quick renders, like to test a pipeline for example, this slow down the work a lot. So I wonder if there is a value somewhere I can tweak to change the frequency of the updates, and if it would be possible to get an option for it too in the menu(maybe with a F5 shortcut too) Let me know! cheers Laurent