Hi,
I want to generate random data in a docker / CLI environement on WSL2 (Ubuntu). I was able to install the Lean CLI and connect to the Jupyter Notebook. However generating data fails with an error.
Lean version: 1.0.210
Docker image: quantconnect/lean latest 5fa9ada4e3eb (date: 20241216)
Command:
lean data generate --start 20240101 --end 20240105 --tickers spy --security-type equity --resolution minuted
I the multiple errors:
System.IO.FileLoadException: Could not load file or assembly 'System.Collections.Immutable, Version=7.0.0.0, Culture=neutral,
PublicKeyToken=b03f5f7f11d50a3a'. Could not find or load a specific file. (0x80131621)
File name: 'System.Collections.Immutable, Version=7.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a'
---> System.IO.FileLoadException: Could not load file or assembly 'System.Collections.Immutable, Version=8.0.0.0, Culture=neutral,
PublicKeyToken=b03f5f7f11d50a3a'.
at System.Runtime.Loader.AssemblyLoadContext.LoadFromPath(IntPtr ptrNativeAssemblyLoadContext, String ilPath, String niPath, ObjectHandleOnStack
retAssembly)
I assume, the data is generated in the docker container, therefore I think the issue must be there.
The image inspect output is here:
docker image inspect 5fa9ada4e3eb
[
{
"Id": "sha256:5fa9ada4e3ebf5156f98a194dbab6953163079ab3c42174a02b8a3b48fdd690f",
"RepoTags": [
"quantconnect/lean:latest"
],
"RepoDigests": [
"quantconnect/lean@sha256:3bf08e3d8fa6cec7d09112d4cc150e0ff4ca0d39961e71bc186e3a54f888c6b0"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-12-16T14:57:21.495370934Z",
"DockerVersion": "",
"Author": "QuantConnect <contact@quantconnect.com>",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"DEBIAN_FRONTEND=teletype",
"LANG=en_US.UTF-8",
"LANGUAGE=en_US:en",
"LC_ALL=en_US.UTF-8",
"PYTHONNET_PYDLL=/opt/miniconda3/lib/libpython3.11.so",
"CONDA=Miniconda3-py311_24.9.2-0-Linux-x86_64.sh",
"PIP_DEFAULT_TIMEOUT=120",
"CUDA_MODULE_LOADING=LAZY",
"XLA_FLAGS=--xla_gpu_cuda_data_dir=/opt/miniconda3/",
"LD_LIBRARY_PATH=:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cublas/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cuda_cupti/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cuda_nvrtc/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cuda_runtime/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cudnn/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cufft/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/curand/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cusolver/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/cusparse/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/nccl/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/nvjitlink/lib/:/opt/miniconda3/lib/python3.11/site-packages/nvidia/nvtx/lib/",
"PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True"
],
"Cmd": null,
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/Lean/Launcher/bin/Debug",
"Entrypoint": [
"dotnet",
"QuantConnect.Lean.Launcher.dll"
],
"OnBuild": null,
"Labels": {
"lean_version": "16790",
"python_version": "3.11",
"strict_python_version": "3.11.11",
"target_framework": "net6.0"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 29626836356,
"GraphDriver": {
"Data": {
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"MergedDir": "/var/lib/docker/overlay2/d763c0105649a132c4a5012ffbd138309d69b30614819bee9de0520aa8cbc97d/merged",
"UpperDir": "/var/lib/docker/overlay2/d763c0105649a132c4a5012ffbd138309d69b30614819bee9de0520aa8cbc97d/diff",
"WorkDir": "/var/lib/docker/overlay2/d763c0105649a132c4a5012ffbd138309d69b30614819bee9de0520aa8cbc97d/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
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},
"Metadata": {
"LastTagTime": "0001-01-01T00:00:00Z"
}
}
]
Fari Tigar
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