我正在尝试从 Windows 上的 MLFlow 托管模型构建容器。根据 mlflow 指令，该命令如下所示：
f"mlflow models build-docker --model-uri {logged_model} --name {container_name}"
这似乎成功安装了依赖项，但最终失败，gcc 命令失败 - sudo apt-get install gcc。我如何将修复集成到该管道中？ docker 在 Windows 上构建时是否期望运行 Linux 命令（它在虚拟机中运行吗？），或者是否有我需要更改的设置？
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2024/04/18 11:08:54 INFO mlflow.models.flavor_backend_registry: Selected backend for flavor 'python_function'
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2024/04/18 11:08:55 INFO mlflow.pyfunc.backend: Building docker image with name power_consumption_v1
D:\Programs\anaconda3\Lib\site-packages\paramiko\transport.py:219: CryptographyDeprecationWarning: Blowfish has been deprecated and will be removed in a future release
"class": algorithms.Blowfish,
#0 building with "default" instance using docker driver
#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 1.10kB done
#1 DONE 0.1s
#2 [internal] load metadata for docker.io/library/python:3.11.7-slim
#2 DONE 1.2s
#3 [internal] load .dockerignore
#3 transferring context: 2B done
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#4 [1/8] FROM docker.io/library/python:3.11.7-slim@sha256:53d6284a40eae6b625f22870f5faba6c54f2a28db9027408f4dee111f1e885a2
#4 DONE 0.0s
#5 [internal] load build context
#5 transferring context: 124.36MB 5.0s
#5 transferring context: 136.66MB 6.2s done
#5 DONE 6.3s
#6 [2/8] RUN apt-get -y update && apt-get install -y --no-install-recommends nginx
#6 CACHED
#7 [3/8] WORKDIR /opt/mlflow
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#8 [4/8] RUN pip install mlflow==2.11.3
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#9 [5/8] COPY model_dir/best_estimator /opt/ml/model
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#10 [6/8] RUN python -c "from mlflow.models import container as C; C._install_pyfunc_deps('/opt/ml/model', install_mlflow=False, enable_mlserver=False, env_manager='local');"
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#10 26.62 Building wheels for collected packages: psutil
#10 26.63 Building wheel for psutil (setup.py): started
#10 27.03 Building wheel for psutil (setup.py): finished with status 'error'
#10 27.08 error: subprocess-exited-with-error
#10 27.08
#10 27.08 × python setup.py bdist_wheel did not run successfully.
#10 27.08 │ exit code: 1
#10 27.08 ╰─> [43 lines of output]
#10 27.08 running bdist_wheel
#10 27.08 running build
#10 27.08 running build_py
#10 27.08 creating build
#10 27.08 creating build/lib.linux-x86_64-cpython-311
#10 27.08 creating build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_common.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_psposix.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/__init__.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_pslinux.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_psaix.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_compat.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_pssunos.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_pswindows.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_psosx.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 copying psutil/_psbsd.py -> build/lib.linux-x86_64-cpython-311/psutil
#10 27.08 creating build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_misc.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/runner.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_sunos.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_aix.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_osx.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_memleaks.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_process.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/__init__.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_windows.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_bsd.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_connections.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_system.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/__main__.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_testutils.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_unicode.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_contracts.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_posix.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 copying psutil/tests/test_linux.py -> build/lib.linux-x86_64-cpython-311/psutil/tests
#10 27.08 running build_ext
#10 27.08 building 'psutil._psutil_linux' extension
#10 27.08 creating build/temp.linux-x86_64-cpython-311
#10 27.08 creating build/temp.linux-x86_64-cpython-311/psutil
#10 27.08 gcc -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPSUTIL_POSIX=1 -DPSUTIL_SIZEOF_PID_T=4 -DPSUTIL_VERSION=590 -DPSUTIL_LINUX=1 -DPSUTIL_ETHTOOL_MISSING_TYPES=1 -I/usr/local/include/python3.11 -c psutil/_psutil_common.c -o build/temp.linux-x86_64-cpython-311/psutil/_psutil_common.o
#10 27.08 C compiler or Python headers are not installed on this system. Try to run:
#10 27.08 sudo apt-get install gcc python3-dev
#10 27.08 error: command 'gcc' failed: No such file or directory
#10 27.08 [end of output]
#10 27.08
#10 27.08 note: This error originates from a subprocess, and is likely not a problem with pip.
#10 27.08 ERROR: Failed building wheel for psutil
#10 27.08 Running setup.py clean for psutil
#10 27.41 Failed to build psutil
#10 27.41 ERROR: Could not build wheels for psutil, which is required to install pyproject.toml-based projects
#10 27.51
#10 27.51 [notice] A new release of pip is available: 23.2.1 -> 24.0
#10 27.51 [notice] To update, run: pip install --upgrade pip
#10 27.78 Traceback (most recent call last):
#10 27.78 File "<string>", line 1, in <module>
#10 27.78 File "/usr/local/lib/python3.11/site-packages/mlflow/models/container/__init__.py", line 92, in _install_pyfunc_deps
#10 27.78 activate_cmd = _install_model_dependencies_to_env(model_path, env_manager) if model_path else []
#10 27.78 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
#10 27.78 File "/usr/local/lib/python3.11/site-packages/mlflow/models/container/__init__.py", line 144, in _install_model_dependencies_to_env
#10 27.78 raise Exception("Failed to install model dependencies.")
#10 27.78 Exception: Failed to install model dependencies.
#10 ERROR: process "/bin/sh -c python -c \"from mlflow.models import container as C; C._install_pyfunc_deps('/opt/ml/model', install_mlflow=False, enable_mlserver=False, env_manager='local');\"" did not complete successfully: exit code: 1
------
> [6/8] RUN python -c "from mlflow.models import container as C; C._install_pyfunc_deps('/opt/ml/model', install_mlflow=False, enable_mlserver=False, env_manager='local');":
27.51 [notice] A new release of pip is available: 23.2.1 -> 24.0
27.51 [notice] To update, run: pip install --upgrade pip
27.78 Traceback (most recent call last):
27.78 File "<string>", line 1, in <module>
27.78 File "/usr/local/lib/python3.11/site-packages/mlflow/models/container/__init__.py", line 92, in _install_pyfunc_deps
27.78 activate_cmd = _install_model_dependencies_to_env(model_path, env_manager) if model_path else []
27.78 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
27.78 File "/usr/local/lib/python3.11/site-packages/mlflow/models/container/__init__.py", line 144, in _install_model_dependencies_to_env
27.78 raise Exception("Failed to install model dependencies.")
27.78 Exception: Failed to install model dependencies.
------
Dockerfile:15
--------------------
13 | # Copy model to image and install dependencies
14 | COPY model_dir/best_estimator /opt/ml/model
15 | >>> RUN python -c "from mlflow.models import container as C; C._install_pyfunc_deps('/opt/ml/model', install_mlflow=False, enable_mlserver=False, env_manager='local');"
16 |
17 | ENV MLFLOW_DISABLE_ENV_CREATION=True
--------------------
ERROR: failed to solve: process "/bin/sh -c python -c \"from mlflow.models import container as C; C._install_pyfunc_deps('/opt/ml/model', install_mlflow=False, enable_mlserver=False, env_manager='local');\"" did not complete successfully: exit code: 1
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "D:\Programs\anaconda3\Scripts\mlflow.exe\__main__.py", line 7, in <module>
File "D:\Programs\anaconda3\Lib\site-packages\click\core.py", line 1157, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Programs\anaconda3\Lib\site-packages\click\core.py", line 1078, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "D:\Programs\anaconda3\Lib\site-packages\click\core.py", line 1688, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Programs\anaconda3\Lib\site-packages\click\core.py", line 1688, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Programs\anaconda3\Lib\site-packages\click\core.py", line 1434, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Programs\anaconda3\Lib\site-packages\click\core.py", line 783, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Programs\anaconda3\Lib\site-packages\mlflow\models\cli.py", line 274, in build_docker
python_api.build_docker(**kwargs)
File "D:\Programs\anaconda3\Lib\site-packages\mlflow\models\python_api.py", line 79, in build_docker
get_flavor_backend(model_uri, docker_build=True, env_manager=env_manager).build_image(
File "D:\Programs\anaconda3\Lib\site-packages\mlflow\pyfunc\backend.py", line 359, in build_image
docker_utils.build_image_from_context(context_dir=cwd, image_name=image_name)
File "D:\Programs\anaconda3\Lib\site-packages\mlflow\models\docker_utils.py", line 235, in build_image_from_context
raise RuntimeError("Docker build failed.")
RuntimeError: Docker build failed.
虽然社区对在没有评论的情况下否决该问题非常无助，但我已经得出了以下解决方案，该解决方案似乎是 MLflow 的任何实际构建所必需的，但在其论坛或任何其他论坛上没有记录我见过。希望这对其他人有帮助。建议的构建命令在构建过程中无法安装 gcc，并且无法为 psutils 构建 pip 轮：
mlflow models build-docker --model-uri "runs:/some-run-uuid/my-model" --name "my-image-name"
相反，最好让 mlflow 生成一个 dockerfile，编辑它，然后单独构建：
run_command(f"mlflow models generate-dockerfile --model-uri {logged_model} --output-directory {model_dir}")
with open(model_dir / 'Dockerfile', 'r') as f:
lines = f.readlines()
for ind, line in enumerate(lines):
if line.startswith('RUN apt-get -y update && apt-get install -y --no-install-recommends '):
lines[ind] = line.split('\n')[0] + ' -y gcc g++\n'
with open(model_dir / 'Dockerfile', 'w') as f:
f.writelines(lines)
run_command(f"docker build -t {image_name} {model_dir}")