Instance status: SystemSetup: Succeeded UserContainerImagePull: Succeeded ModelDownload: Succeeded UserContainerStart: InProgress Container events: Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:44:45.06361Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:44:55.691311Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:45:05.063539Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:45:15.063655Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:45:25.063468Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:45:35.063484Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:45:45.063627Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:45:55.063792Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:46:05.063478Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:46:15.063424Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:46:25.063591Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:46:35.063689Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:46:45.063599Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:46:55.063624Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:47:05.063368Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:47:15.06341Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:47:25.063388Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:47:35.063458Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:47:45.067788Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Kind: Pod, Name: ReadinessProbeFailed, Type: Warning, Time: 2025-01-02T17:47:55.063519Z, Message: Readiness probe failed: HTTP probe failed with statuscode: 502 Container logs: 2025-01-02T17:44:35,448129385+00:00 - nginx/run nginx: [warn] the "user" directive makes sense only if the master process runs with super-user privileges, ignored in /etc/nginx/nginx.conf:1 2025-01-02T17:44:35,456040314+00:00 - rsyslog/run 2025-01-02T17:44:35,469277194+00:00 - gunicorn/run 2025-01-02T17:44:35,471174577+00:00 | gunicorn/run | 2025-01-02T17:44:35,473013460+00:00 | gunicorn/run | ############################################### 2025-01-02T17:44:35,476597228+00:00 | gunicorn/run | AzureML Container Runtime Information 2025-01-02T17:44:35,478505911+00:00 | gunicorn/run | ############################################### 2025-01-02T17:44:35,479845599+00:00 | gunicorn/run | 2025-01-02T17:44:35,481794181+00:00 | gunicorn/run | 2025-01-02T17:44:35,484892453+00:00 | gunicorn/run | AzureML image information: mlflow-ubuntu20.04-py38-cpu-inference:20241003.v1 2025-01-02T17:44:35,486291641+00:00 | gunicorn/run | 2025-01-02T17:44:35,488092724+00:00 | gunicorn/run | 2025-01-02T17:44:35,489608911+00:00 | gunicorn/run | PATH environment variable: /opt/miniconda/envs/amlenv/bin:/opt/miniconda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin annotated-types==0.7.0 azure-core==1.31.0 azure-identity==1.18.0 azureml-inference-server-http==1.3.2 blinker==1.8.2 cachetools==5.5.0 certifi==2024.8.30 cffi==1.17.1 charset-normalizer==3.3.2 click==8.1.7 cryptography==43.0.1 Flask==2.3.2 Flask-Cors==4.0.2 google-api-core==2.20.0 google-auth==2.35.0 googleapis-common-protos==1.65.0 gunicorn==22.0.0 idna==3.10 importlib_metadata==8.5.0 inference-schema==1.8 itsdangerous==2.2.0 Jinja2==3.1.4 MarkupSafe==2.1.5 msal==1.31.0 msal-extensions==1.2.0 opencensus==0.11.4 opencensus-context==0.1.3 opencensus-ext-azure==1.1.13 packaging==24.1 portalocker==2.10.1 proto-plus==1.24.0 protobuf==5.28.2 psutil==6.0.0 pyasn1==0.6.1 pyasn1_modules==0.4.1 pycparser==2.22 pydantic==2.7.4 pydantic-settings==2.5.2 pydantic_core==2.18.4 PyJWT==2.9.0 python-dateutil==2.9.0.post0 python-dotenv==1.0.1 pytz==2024.2 requests==2.32.3 rsa==4.9 six==1.16.0 typing_extensions==4.12.2 urllib3==2.2.3 Werkzeug==3.0.4 wrapt==1.16.0 zipp==3.20.2 2025-01-02T17:44:38,016390185+00:00 | gunicorn/run | 2025-01-02T17:44:38,018266068+00:00 | gunicorn/run | Entry script directory: /var/mlflow_resources/. 2025-01-02T17:44:38,019992952+00:00 | gunicorn/run | 2025-01-02T17:44:38,021893235+00:00 | gunicorn/run | ############################################### 2025-01-02T17:44:38,023562420+00:00 | gunicorn/run | Dynamic Python Package Installation 2025-01-02T17:44:38,025458403+00:00 | gunicorn/run | ############################################### 2025-01-02T17:44:38,027224087+00:00 | gunicorn/run | 2025-01-02T17:44:38,029288668+00:00 | gunicorn/run | Updating conda environment from /var/azureml-app/azureml-models/AutoMlClass/1/pipeline/conda.yaml ! /opt/miniconda/lib/python3.9/argparse.py:1935: FutureWarning: `remote_definition` is deprecated and will be removed in 25.9. Use `conda env create --file=URL` instead. action(self, namespace, argument_values, option_string) /opt/miniconda/lib/python3.9/site-packages/conda/base/context.py:982: FutureWarning: Adding 'defaults' to the channel list implicitly is deprecated and will be removed in 25.3. To remove this warning, please choose a default channel explicitly via 'conda config --add channels ', e.g. 'conda config --add channels defaults'. deprecated.topic( Retrieving notices: ...working... done /opt/miniconda/lib/python3.9/site-packages/conda/base/context.py:982: FutureWarning: Adding 'defaults' to the channel list implicitly is deprecated and will be removed in 25.3. To remove this warning, please choose a default channel explicitly via 'conda config --add channels ', e.g. 'conda config --add channels defaults'. deprecated.topic( Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies. Conda may not use the correct pip to install your packages, and they may end up in the wrong place. Please add an explicit pip dependency. I'm adding one for you, but still nagging you. Channels: - anaconda - conda-forge - pytorch - defaults Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... done ==> WARNING: A newer version of conda exists. <== current version: 24.9.1 latest version: 24.11.2 Please update conda by running $ conda update -n base -c conda-forge conda Downloading and Extracting Packages: ...working... done Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done Pip subprocess error: ERROR: Cannot install -r /tmp/condaenv.dma_fk62.requirements.txt (line 1) and azureml-defaults because these package versions have conflicting dependencies. ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts Installing pip dependencies: ...working... Ran pip subprocess with arguments: ['/opt/miniconda/envs/userenv/bin/python', '-m', 'pip', 'install', '-U', '-r', '/tmp/condaenv.dma_fk62.requirements.txt', '--exists-action=b'] Pip subprocess output: Collecting https://aka.ms/automl-resources/packages/en_core_web_sm-3.7.1.tar.gz (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 10)) Downloading https://aka.ms/automl-resources/packages/en_core_web_sm-3.7.1.tar.gz (12.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.8/12.8 MB 81.6 MB/s eta 0:00:00 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting mlflow==2.9.2 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading mlflow-2.9.2-py3-none-any.whl.metadata (13 kB) Collecting azureml-train-automl-runtime==1.58.0 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_train_automl_runtime-1.58.0-py3-none-any.whl.metadata (3.2 kB) Collecting inference-schema (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 3)) Downloading inference_schema-1.8-py3-none-any.whl.metadata (2.5 kB) Collecting xgboost<=1.5.2 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 4)) Downloading xgboost-1.5.2-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB) Collecting prophet==1.1.4 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading prophet-1.1.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.6 kB) Collecting azureml-interpret==1.58.0 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 6)) Downloading azureml_interpret-1.58.0-py3-none-any.whl.metadata (3.4 kB) Collecting azureml-defaults==1.58.0 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading azureml_defaults-1.58.0-py3-none-any.whl.metadata (732 bytes) Collecting pytorch-transformers==1.0.0 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 8)) Downloading pytorch_transformers-1.0.0-py3-none-any.whl.metadata (19 kB) Collecting spacy==3.7.4 (from -r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading spacy-3.7.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (27 kB) Collecting click<9,>=7.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading click-8.1.8-py3-none-any.whl.metadata (2.3 kB) Collecting cloudpickle<4 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading cloudpickle-3.1.0-py3-none-any.whl.metadata (7.0 kB) Collecting databricks-cli<1,>=0.8.7 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading databricks_cli-0.18.0-py2.py3-none-any.whl.metadata (4.0 kB) Collecting entrypoints<1 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading entrypoints-0.4-py3-none-any.whl.metadata (2.6 kB) Collecting gitpython<4,>=2.1.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading GitPython-3.1.44-py3-none-any.whl.metadata (13 kB) Requirement already satisfied: pyyaml<7,>=5.1 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (6.0.2) Collecting protobuf<5,>=3.12.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading protobuf-4.25.5-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes) Collecting pytz<2024 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading pytz-2023.4-py2.py3-none-any.whl.metadata (22 kB) Collecting requests<3,>=2.17.3 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading requests-2.32.3-py3-none-any.whl.metadata (4.6 kB) Collecting packaging<24 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB) Collecting importlib-metadata!=4.7.0,<8,>=3.7.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading importlib_metadata-7.2.1-py3-none-any.whl.metadata (4.6 kB) Collecting sqlparse<1,>=0.4.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading sqlparse-0.5.3-py3-none-any.whl.metadata (3.9 kB) Collecting alembic!=1.10.0,<2 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading alembic-1.14.0-py3-none-any.whl.metadata (7.4 kB) Collecting docker<7,>=4.0.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading docker-6.1.3-py3-none-any.whl.metadata (3.5 kB) Collecting Flask<4 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading flask-3.1.0-py3-none-any.whl.metadata (2.7 kB) Requirement already satisfied: numpy<2 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (1.23.5) Requirement already satisfied: scipy<2 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (1.13.1) Requirement already satisfied: pandas<3 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (1.5.3) Collecting querystring-parser<2 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading querystring_parser-1.2.4-py2.py3-none-any.whl.metadata (559 bytes) Collecting sqlalchemy<3,>=1.4.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.7 kB) Requirement already satisfied: scikit-learn<2 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (1.5.1) Collecting pyarrow<15,>=4.0.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading pyarrow-14.0.2-cp39-cp39-manylinux_2_28_x86_64.whl.metadata (3.0 kB) Collecting markdown<4,>=3.3 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading Markdown-3.7-py3-none-any.whl.metadata (7.0 kB) Collecting matplotlib<4 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading matplotlib-3.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB) Collecting gunicorn<22 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading gunicorn-21.2.0-py3-none-any.whl.metadata (4.1 kB) Requirement already satisfied: Jinja2<4,>=2.11 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (3.1.4) Collecting azure-storage-queue~=12.1 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azure_storage_queue-12.12.0-py3-none-any.whl.metadata (35 kB) Collecting lightgbm<=3.2.1,>=3.0.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading lightgbm-3.2.1-py3-none-manylinux1_x86_64.whl.metadata (14 kB) Collecting scipy<2 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (58 kB) Collecting sklearn-pandas<=1.7.0,>=1.4.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading sklearn_pandas-1.7.0-py2.py3-none-any.whl.metadata (430 bytes) Collecting statsmodels<0.14,>=0.13.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading statsmodels-0.13.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.5 kB) Collecting skl2onnx==1.15.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading skl2onnx-1.15.0-py2.py3-none-any.whl.metadata (2.3 kB) Collecting onnxmltools==1.11.2 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading onnxmltools-1.11.2-py2.py3-none-any.whl.metadata (9.2 kB) Collecting keras2onnx<=1.6.0,>=1.4.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading keras2onnx-1.6.0-py3-none-any.whl.metadata (9.3 kB) Collecting onnxconverter-common==1.13.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading onnxconverter_common-1.13.0-py2.py3-none-any.whl.metadata (2.6 kB) Collecting onnx==1.16.1 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading onnx-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (16 kB) Collecting onnxruntime~=1.17.3 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (4.4 kB) Collecting boto3<=1.20.19 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading boto3-1.20.19-py3-none-any.whl.metadata (6.5 kB) Collecting botocore<=1.23.19 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading botocore-1.23.19-py3-none-any.whl.metadata (5.2 kB) Collecting urllib3<2.0.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading urllib3-1.26.20-py2.py3-none-any.whl.metadata (50 kB) Collecting dask<=2023.2.0 (from dask[complete]<=2023.2.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading dask-2023.2.0-py3-none-any.whl.metadata (3.6 kB) Collecting bokeh<3.0.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading bokeh-2.4.3-py3-none-any.whl.metadata (14 kB) Collecting azureml-automl-core~=1.58.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_automl_core-1.58.0-py3-none-any.whl.metadata (1.9 kB) Collecting azureml-automl-runtime~=1.58.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_automl_runtime-1.58.0-py3-none-any.whl.metadata (2.9 kB) Collecting azureml-train-automl-client~=1.58.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_train_automl_client-1.58.0-py3-none-any.whl.metadata (1.4 kB) Collecting azureml-core~=1.58.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_core-1.58.0.post1-py3-none-any.whl.metadata (3.2 kB) Collecting azureml-telemetry~=1.58.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_telemetry-1.58.0-py3-none-any.whl.metadata (1.1 kB) Collecting azureml-dataset-runtime~=1.58.0 (from azureml-dataset-runtime[fuse,pandas]~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_dataset_runtime-1.58.0-py3-none-any.whl.metadata (1.2 kB) Collecting azureml-mlflow~=1.58.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_mlflow-1.58.0.post3-py3-none-any.whl.metadata (2.5 kB) Collecting gensim==4.3.2 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading gensim-4.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.5 kB) Collecting smart-open==6.4.0 (from azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading smart_open-6.4.0-py3-none-any.whl.metadata (21 kB) Collecting cmdstanpy>=1.0.4 (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading cmdstanpy-1.2.5-py3-none-any.whl.metadata (4.0 kB) Collecting LunarCalendar>=0.0.9 (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading LunarCalendar-0.0.9-py2.py3-none-any.whl.metadata (6.3 kB) Collecting convertdate>=2.1.2 (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading convertdate-2.4.0-py3-none-any.whl.metadata (8.3 kB) Requirement already satisfied: holidays>=0.25 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) (0.62) Requirement already satisfied: python-dateutil>=2.8.0 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) (2.9.0.post0) Collecting tqdm>=4.36.1 (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading tqdm-4.67.1-py3-none-any.whl.metadata (57 kB) Collecting importlib-resources (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading importlib_resources-6.4.5-py3-none-any.whl.metadata (4.0 kB) Collecting interpret-community==0.31.* (from azureml-interpret==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 6)) Downloading interpret_community-0.31.0-py3-none-any.whl.metadata (4.4 kB) Collecting numba<=0.56.4 (from azureml-interpret==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 6)) Downloading numba-0.56.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.8 kB) Collecting azureml-inference-server-http~=1.3 (from azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading azureml_inference_server_http-1.4.0-py3-none-any.whl.metadata (11 kB) Requirement already satisfied: torch>=0.4.1 in 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wasabi-1.1.3-py3-none-any.whl.metadata (28 kB) Collecting srsly<3.0.0,>=2.4.3 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading srsly-2.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) Collecting catalogue<2.1.0,>=2.0.6 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading catalogue-2.0.10-py3-none-any.whl.metadata (14 kB) Collecting weasel<0.4.0,>=0.1.0 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading weasel-0.3.4-py3-none-any.whl.metadata (4.7 kB) Collecting typer<0.10.0,>=0.3.0 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading typer-0.9.4-py3-none-any.whl.metadata (14 kB) Collecting pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading pydantic-2.10.4-py3-none-any.whl.metadata (29 kB) Requirement already satisfied: setuptools in 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raiutils-0.4.2-py3-none-any.whl.metadata (1.4 kB) Collecting interpret-core<=0.5.0,>=0.1.20 (from interpret-community==0.31.*->azureml-interpret==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 6)) Downloading interpret_core-0.5.0-py3-none-any.whl.metadata (2.7 kB) Collecting wrapt<=1.16.0,>=1.14.0 (from inference-schema->-r /tmp/condaenv.dma_fk62.requirements.txt (line 3)) Downloading wrapt-1.16.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB) Collecting Mako (from alembic!=1.10.0,<2->mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading Mako-1.3.8-py3-none-any.whl.metadata (2.9 kB) Requirement already satisfied: typing-extensions>=4 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from alembic!=1.10.0,<2->mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) (4.12.2) Collecting azure-core>=1.30.0 (from azure-storage-queue~=12.1->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azure_core-1.32.0-py3-none-any.whl.metadata (39 kB) Collecting cryptography>=2.1.4 (from azure-storage-queue~=12.1->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl.metadata (5.7 kB) Collecting isodate>=0.6.1 (from azure-storage-queue~=12.1->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading isodate-0.7.2-py3-none-any.whl.metadata (11 kB) Collecting importlib-resources (from prophet==1.1.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 5)) Downloading importlib_resources-6.4.0-py3-none-any.whl.metadata (3.9 kB) Collecting azureml-training-tabular~=1.58.0 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_training_tabular-1.58.0-py3-none-any.whl.metadata (2.3 kB) Collecting dill<0.4.0,>=0.2.8 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading dill-0.3.9-py3-none-any.whl.metadata (10 kB) Collecting protobuf<5,>=3.12.0 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading protobuf-3.20.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (679 bytes) Requirement already satisfied: psutil<5.9.4,>=5.2.2 in /opt/miniconda/envs/userenv/lib/python3.9/site-packages (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) (5.9.3) Collecting pmdarima==1.8.5 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading pmdarima-1.8.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.metadata (7.7 kB) Collecting joblib==1.2.0 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading joblib-1.2.0-py3-none-any.whl.metadata (5.3 kB) Collecting dataclasses<=0.8,>=0.6 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading dataclasses-0.6-py3-none-any.whl.metadata (3.0 kB) Collecting arch<=5.6.0 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading arch-5.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB) Collecting dotnetcore2<4.0.0,>=3.0.0 (from azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading dotnetcore2-3.1.23-py3-none-manylinux1_x86_64.whl.metadata (1.3 kB) Collecting Cython!=0.29.18,>=0.29 (from pmdarima==1.8.5->azureml-automl-runtime~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading Cython-3.0.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.2 kB) Collecting backports.tempfile (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading backports.tempfile-1.0-py2.py3-none-any.whl.metadata (2.3 kB) Collecting pathspec<1.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading pathspec-0.12.1-py3-none-any.whl.metadata (21 kB) Collecting msal<2.0.0,>=1.15.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading msal-1.31.1-py3-none-any.whl.metadata (11 kB) Collecting msal-extensions<=2.0.0,>=0.3.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading msal_extensions-1.2.0-py3-none-any.whl.metadata (7.6 kB) Collecting knack<0.13.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading knack-0.12.0-py3-none-any.whl.metadata (5.2 kB) Collecting pkginfo (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading pkginfo-1.12.0-py3-none-any.whl.metadata (12 kB) Collecting argcomplete<4 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading argcomplete-3.5.3-py3-none-any.whl.metadata (16 kB) Collecting humanfriendly<11.0,>=4.7 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB) Collecting paramiko<4.0.0,>=2.0.8 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading paramiko-3.5.0-py3-none-any.whl.metadata (4.4 kB) Collecting azure-mgmt-resource<=24.0.0,>=15.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azure_mgmt_resource-23.2.0-py3-none-any.whl.metadata (38 kB) Collecting azure-mgmt-containerregistry<11,>=8.2.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azure_mgmt_containerregistry-10.3.0-py3-none-any.whl.metadata (23 kB) Collecting azure-mgmt-storage<=22.0.0,>=16.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azure_mgmt_storage-21.2.1-py3-none-any.whl.metadata (31 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azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azure_common-1.1.28-py2.py3-none-any.whl.metadata (5.0 kB) Collecting msrest<=0.7.1,>=0.5.1 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading msrest-0.7.1-py3-none-any.whl.metadata (21 kB) Collecting msrestazure<=0.7,>=0.4.33 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading msrestazure-0.6.4.post1-py2.py3-none-any.whl.metadata (15 kB) Collecting ndg-httpsclient<=0.5.1 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading ndg_httpsclient-0.5.1-py3-none-any.whl.metadata (6.2 kB) Collecting SecretStorage<4.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading SecretStorage-3.3.3-py3-none-any.whl.metadata (4.0 kB) Collecting jsonpickle<4.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading jsonpickle-3.4.2-py3-none-any.whl.metadata (8.1 kB) Collecting contextlib2<22.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading contextlib2-21.6.0-py2.py3-none-any.whl.metadata (4.1 kB) Collecting PyJWT<3.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading PyJWT-2.10.1-py3-none-any.whl.metadata (4.0 kB) Collecting adal<=1.2.7,>=1.2.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading adal-1.2.7-py2.py3-none-any.whl.metadata (6.9 kB) Collecting pyopenssl<25.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading pyOpenSSL-24.3.0-py3-none-any.whl.metadata (15 kB) Collecting jmespath<2.0.0 (from azureml-core~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading jmespath-1.0.1-py3-none-any.whl.metadata (7.6 kB) Collecting azureml-dataprep<5.2.0a,>=5.1.0a (from azureml-dataset-runtime~=1.58.0->azureml-dataset-runtime[fuse,pandas]~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading azureml_dataprep-5.1.6-py3-none-any.whl.metadata (2.2 kB) Collecting fusepy<4.0.0,>=3.0.1 (from azureml-dataset-runtime[fuse,pandas]~=1.58.0->azureml-train-automl-runtime==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 2)) Downloading fusepy-3.0.1.tar.gz (11 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting Flask<4 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading flask-3.0.3-py3-none-any.whl.metadata (3.2 kB) Collecting flask-cors~=5.0.0 (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading Flask_Cors-5.0.0-py2.py3-none-any.whl.metadata (5.5 kB) Collecting opencensus-ext-azure~=1.1.0 (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading opencensus_ext_azure-1.1.13-py2.py3-none-any.whl.metadata (16 kB) Collecting pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading pydantic-2.9.2-py3-none-any.whl.metadata (149 kB) Collecting pydantic-settings (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading pydantic_settings-2.7.1-py3-none-any.whl.metadata (3.5 kB) Collecting werkzeug>=3.0.3 (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading werkzeug-3.1.3-py3-none-any.whl.metadata (3.7 kB) Collecting certifi>=2024.7.4 (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading certifi-2024.12.14-py3-none-any.whl.metadata (2.3 kB) INFO: pip is looking at multiple versions of azureml-inference-server-http to determine which version is compatible with other requirements. This could take a while. Collecting azureml-inference-server-http~=1.3 (from azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading azureml_inference_server_http-1.3.4-py3-none-any.whl.metadata (10 kB) Collecting Flask<4 (from mlflow==2.9.2->-r /tmp/condaenv.dma_fk62.requirements.txt (line 1)) Downloading Flask-2.3.2-py3-none-any.whl.metadata (3.7 kB) Collecting azureml-inference-server-http~=1.3 (from azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading azureml_inference_server_http-1.3.3-py3-none-any.whl.metadata (10 kB) Collecting pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 (from spacy==3.7.4->-r /tmp/condaenv.dma_fk62.requirements.txt (line 9)) Downloading pydantic-2.7.4-py3-none-any.whl.metadata (109 kB) Collecting azureml-inference-server-http~=1.3 (from azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading azureml_inference_server_http-1.3.2-py3-none-any.whl.metadata (10 kB) Collecting flask-cors~=4.0.1 (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading Flask_Cors-4.0.2-py2.py3-none-any.whl.metadata (5.5 kB) Collecting azureml-inference-server-http~=1.3 (from azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading azureml_inference_server_http-1.3.0-py3-none-any.whl.metadata (10 kB) Collecting flask-cors~=3.0.1 (from azureml-inference-server-http~=1.3->azureml-defaults==1.58.0->-r /tmp/condaenv.dma_fk62.requirements.txt (line 7)) Downloading Flask_Cors-3.0.10-py2.py3-none-any.whl.metadata (5.4 kB) The conflict is caused by: mlflow 2.9.2 depends on gunicorn<22; platform_system != "Windows" azureml-inference-server-http 1.4.0 depends on gunicorn>=23.0.0; platform_system != "Windows" mlflow 2.9.2 depends on gunicorn<22; platform_system != "Windows" azureml-inference-server-http 1.3.4 depends on gunicorn>=23.0.0; platform_system != "Windows" mlflow 2.9.2 depends on gunicorn<22; platform_system != "Windows" azureml-inference-server-http 1.3.3 depends on gunicorn==22.0.0; platform_system != "Windows" mlflow 2.9.2 depends on gunicorn<22; platform_system != "Windows" azureml-inference-server-http 1.3.2 depends on gunicorn==22.0.0; platform_system != "Windows" mlflow 2.9.2 depends on gunicorn<22; platform_system != "Windows" azureml-inference-server-http 1.3.0 depends on gunicorn==22.0.0; platform_system != "Windows" To fix this you could try to: 1. loosen the range of package versions you've specified 2. remove package versions to allow pip to attempt to solve the dependency conflict failed CondaEnvException: Pip failed Error occurred. Sleeping to send error logs. 2025-01-02T17:47:57,914428381+00:00 - gunicorn/finish 95 0 2025-01-02T17:47:57,915984567+00:00 - Exit code 95 is not normal. Killing image.