[BUG]: Issue with ZenML ModelDeployer creation #3293
Comments
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Hey @frznprograms, I just tried this myself and it worked without issues. Can you try again, and if it fails run |
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Hi @schustmi , thanks so much for replying. I tried it again and it didn't work, so I ran INFO: 127.0.0.1:63762 - "GET /api/v1/workspaces/default?hydrate=True HTTP/1.1" 200 OK |
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@frznprograms Very weird 🤔 Can you try restarting the server ( You could also try |
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Hi @schustmi , this fixed the problem! (I feel like a fool for not trying this earlier) Thank you so much for your help! |
Contact Details [Optional]
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System Information
ZENML_LOCAL_VERSION: 0.72.0
ZENML_SERVER_VERSION: 0.72.0
ZENML_SERVER_DATABASE: sqlite
ZENML_SERVER_DEPLOYMENT_TYPE: local
ZENML_CONFIG_DIR: /Users/shaneryan_1/Library/Application Support/zenml
ZENML_LOCAL_STORE_DIR: /Users/shaneryan_1/Library/Application Support/zenml/local_stores
ZENML_SERVER_URL: http://127.0.0.1:8237
ZENML_ACTIVE_REPOSITORY_ROOT: None
PYTHON_VERSION: 3.12.2
ENVIRONMENT: native
SYSTEM_INFO: {'os': 'mac', 'mac_version': '15.2'}
ACTIVE_WORKSPACE: default
ACTIVE_STACK: my_stack
ACTIVE_USER: default
TELEMETRY_STATUS: enabled
ANALYTICS_CLIENT_ID: de4f8212-62a0-4ece-ac7f-e6b92866783e
ANALYTICS_USER_ID: 997e9f9e-c4da-4cd6-8e2a-8f42a611bc73
ANALYTICS_SERVER_ID: de4f8212-62a0-4ece-ac7f-e6b92866783e
INTEGRATIONS: ['airflow', 'bitbucket', 'numpy', 'pandas', 'kaniko', 'mlflow', 'pillow',
'scipy', 'sklearn']
PACKAGES: {'automat': '20.2.0', 'babel': '2.11.0', 'bottleneck': '1.3.7', 'brotli': '1.0.9',
'deprecated': '1.2.15', 'gitpython': '3.1.37', 'heapdict': '1.0.1', 'mako': '1.3.8',
'markdown': '3.4.1', 'markupsafe': '2.1.3', 'protego': '0.1.16', 'pydispatcher': '2.0.5',
'pyjwt': '2.7.0', 'pymysql': '1.1.1', 'pyqt5': '5.15.10', 'pyqt5-sip': '12.13.0',
'pyqtwebengine': '5.15.6', 'pysocks': '1.7.1', 'pyyaml': '6.0.1', 'pygments': '2.15.1',
'qdarkstyle': '3.2.3', 'qtawesome': '1.2.2', 'qtpy': '2.4.1', 'rtree': '1.0.1',
'sqlalchemy': '2.0.30', 'sqlalchemy-utils': '0.41.2', 'scrapy': '2.11.1', 'send2trash':
'1.8.2', 'unidecode': '1.2.0', 'aiobotocore': '2.12.3', 'aiohttp': '3.9.5', 'aioitertools':
'0.7.1', 'aiosignal': '1.2.0', 'alabaster': '0.7.16', 'alembic': '1.8.1', 'altair': '5.0.1',
'anaconda-anon-usage': '0.4.4', 'anaconda-catalogs': '0.2.0', 'anaconda-client': '1.12.3',
'anaconda-cloud-auth': '0.5.1', 'anaconda-navigator': '2.6.0', 'anaconda-project': '0.11.1',
'annotated-types': '0.6.0', 'anyio': '4.2.0', 'appdirs': '1.4.4', 'applaunchservices':
'0.3.0', 'appnope': '0.1.3', 'appscript': '1.1.2', 'archspec': '0.2.3', 'argon2-cffi':
'21.3.0', 'argon2-cffi-bindings': '21.2.0', 'arrow': '1.2.3', 'astroid': '2.14.2',
'astropy': '6.1.0', 'astropy-iers-data': '0.2024.6.3.0.31.14', 'asttokens': '2.0.5',
'async-lru': '2.0.4', 'atomicwrites': '1.4.0', 'attrs': '23.1.0', 'autopep8': '2.0.4',
'bcrypt': '4.0.1', 'beautifulsoup4': '4.12.3', 'binaryornot': '0.4.4', 'black': '24.4.2',
'bleach': '4.1.0', 'blinker': '1.6.2', 'bokeh': '3.4.1', 'boltons': '23.0.0', 'botocore':
'1.34.69', 'cachetools': '5.3.3', 'certifi': '2024.8.30', 'cffi': '1.16.0', 'chardet':
'4.0.0', 'charset-normalizer': '2.0.4', 'click': '8.1.3', 'cloudpickle': '2.2.1',
'colorama': '0.4.6', 'colorcet': '3.1.0', 'comm': '0.2.1', 'conda': '24.9.1', 'conda-build':
'24.5.1', 'conda-content-trust': '0.2.0', 'conda-index': '0.5.0', 'conda-libmamba-solver':
'24.1.0', 'conda-pack': '0.7.1', 'conda-package-handling': '2.3.0',
'conda-package-streaming': '0.10.0', 'conda-repo-cli': '1.0.88', 'conda-token':
'0.5.0+1.g2209e04', 'constantly': '23.10.4', 'contourpy': '1.2.0', 'cookiecutter': '2.6.0',
'cryptography': '42.0.5', 'cssselect': '1.2.0', 'cycler': '0.11.0', 'cytoolz': '0.12.2',
'dask': '2024.5.0', 'dask-expr': '1.1.0', 'databricks-sdk': '0.40.0', 'datashader':
'0.16.2', 'debugpy': '1.6.7', 'decorator': '5.1.1', 'defusedxml': '0.7.1',
'diff-match-patch': '20200713', 'dill': '0.3.8', 'distributed': '2024.5.0', 'distro':
'1.9.0', 'docker': '7.1.0', 'docstring-to-markdown': '0.11', 'docutils': '0.18.1',
'entrypoints': '0.4', 'et-xmlfile': '1.1.0', 'executing': '0.8.3', 'fastapi': '0.110.0',
'fastjsonschema': '2.16.2', 'filelock': '3.13.1', 'flake8': '7.0.0', 'flask': '3.0.3',
'fonttools': '4.51.0', 'fqdn': '1.5.1', 'frozendict': '2.4.2', 'frozenlist': '1.4.0',
'fsspec': '2024.3.1', 'gensim': '4.3.2', 'gitdb': '4.0.7', 'google-auth': '2.37.0',
'graphene': '3.4.3', 'graphql-core': '3.2.5', 'graphql-relay': '3.2.0', 'greenlet': '3.0.1',
'gunicorn': '23.0.0', 'h11': '0.14.0', 'h5py': '3.11.0', 'holoviews': '1.19.0', 'httptools':
'0.6.4', 'hvplot': '0.10.0', 'hyperlink': '21.0.0', 'idna': '3.7', 'imagecodecs':
'2023.1.23', 'imageio': '2.33.1', 'imagesize': '1.4.1', 'imbalanced-learn': '0.12.3',
'importlib-metadata': '7.0.1', 'incremental': '22.10.0', 'inflection': '0.5.1', 'iniconfig':
'1.1.1', 'intake': '0.7.0', 'intervaltree': '3.1.0', 'ipinfo': '5.1.1', 'ipykernel':
'6.28.0', 'ipython': '8.25.0', 'ipython-genutils': '0.2.0', 'ipywidgets': '7.8.1',
'isoduration': '20.11.0', 'isort': '5.13.2', 'itemadapter': '0.3.0', 'itemloaders': '1.1.0',
'itsdangerous': '2.2.0', 'jaraco.classes': '3.2.1', 'jedi': '0.18.1', 'jellyfish': '1.0.1',
'jinja2': '3.1.4', 'jmespath': '1.0.1', 'joblib': '1.4.2', 'json5': '0.9.6', 'jsonpatch':
'1.33', 'jsonpointer': '2.1', 'jsonschema': '4.19.2', 'jsonschema-specifications':
'2023.7.1', 'jupyter': '1.0.0', 'jupyter-client': '8.6.0', 'jupyter-console': '6.6.3',
'jupyter-core': '5.7.2', 'jupyter-events': '0.10.0', 'jupyter-lsp': '2.2.0',
'jupyter-server': '2.14.1', 'jupyter-server-terminals': '0.4.4', 'jupyterlab': '4.0.11',
'jupyterlab-pygments': '0.1.2', 'jupyterlab-server': '2.25.1', 'jupyterlab-widgets':
'1.0.0', 'keyring': '24.3.1', 'kiwisolver': '1.4.4', 'lazy-loader': '0.4',
'lazy-object-proxy': '1.10.0', 'lckr-jupyterlab-variableinspector': '3.1.0', 'libarchive-c':
'2.9', 'libmambapy': '1.5.8', 'linkify-it-py': '2.0.0', 'llvmlite': '0.42.0', 'lmdb':
'1.4.1', 'locket': '1.0.0', 'lxml': '5.2.1', 'lz4': '4.3.2', 'markdown-it-py': '2.2.0',
'matplotlib': '3.8.4', 'matplotlib-inline': '0.1.6', 'mccabe': '0.7.0', 'mdit-py-plugins':
'0.3.0', 'mdurl': '0.1.0', 'menuinst': '2.1.1', 'mistune': '2.0.4', 'mlflow': '2.19.0',
'mlflow-skinny': '2.19.0', 'more-itertools': '10.1.0', 'mpmath': '1.3.0', 'msgpack':
'1.0.3', 'multidict': '6.0.4', 'multipledispatch': '0.6.0', 'mypy': '1.10.0',
'mypy-extensions': '1.0.0', 'navigator-updater': '0.5.1', 'nbclient': '0.8.0', 'nbconvert':
'7.10.0', 'nbformat': '5.9.2', 'nest-asyncio': '1.6.0', 'networkx': '3.2.1', 'nltk':
'3.8.1', 'notebook': '7.0.8', 'notebook-shim': '0.2.3', 'numba': '0.59.1', 'numexpr':
'2.8.7', 'numpy': '1.26.4', 'numpydoc': '1.7.0', 'openpyxl': '3.1.2', 'opentelemetry-api':
'1.29.0', 'opentelemetry-sdk': '1.29.0', 'opentelemetry-semantic-conventions': '0.50b0',
'orjson': '3.10.15', 'overrides': '7.4.0', 'packaging': '24.2', 'pandas': '2.2.2',
'pandocfilters': '1.5.0', 'panel': '1.4.4', 'param': '2.1.0', 'parsel': '1.8.1', 'parso':
'0.8.3', 'partd': '1.4.1', 'passlib': '1.7.4', 'pathspec': '0.10.3', 'patsy': '0.5.6',
'pexpect': '4.8.0', 'pickleshare': '0.7.5', 'pillow': '10.3.0', 'pip': '24.0', 'pkce':
'1.0.3', 'pkginfo': '1.10.0', 'platformdirs': '3.10.0', 'plotly': '5.22.0', 'pluggy':
'1.0.0', 'ply': '3.11', 'prometheus-client': '0.14.1', 'prompt-toolkit': '3.0.43',
'protobuf': '3.20.3', 'psutil': '5.9.0', 'ptyprocess': '0.7.0', 'pure-eval': '0.2.2',
'pyopenssl': '24.0.0', 'py-cpuinfo': '9.0.0', 'pyarrow': '14.0.2', 'pyasn1': '0.4.8',
'pyasn1-modules': '0.2.8', 'pycodestyle': '2.11.1', 'pycosat': '0.6.6', 'pycparser': '2.21',
'pyct': '0.5.0', 'pycurl': '7.45.2', 'pydantic': '2.8.2', 'pydantic-core': '2.20.1',
'pydantic-settings': '2.7.1', 'pydeck': '0.8.0', 'pydocstyle': '6.3.0', 'pyerfa': '2.0.1.4',
'pyflakes': '3.2.0', 'pylint': '2.16.2', 'pylint-venv': '3.0.3', 'pyls-spyder': '0.4.0',
'pyobjc-core': '10.1', 'pyobjc-framework-cocoa': '10.1', 'pyobjc-framework-coreservices':
'10.1', 'pyobjc-framework-fsevents': '10.1', 'pyodbc': '5.0.1', 'pyparsing': '3.0.9',
'pytest': '7.4.4', 'python-dateutil': '2.9.0.post0', 'python-dotenv': '0.21.0',
'python-json-logger': '2.0.7', 'python-lsp-black': '2.0.0', 'python-lsp-jsonrpc': '1.1.2',
'python-lsp-server': '1.10.0', 'python-multipart': '0.0.20', 'python-rapidjson': '1.14',
'python-slugify': '5.0.2', 'python-snappy': '0.6.1', 'pytoolconfig': '1.2.6', 'pytz':
'2024.1', 'pyviz-comms': '3.0.2', 'pywavelets': '1.5.0', 'pyzmq': '25.1.2', 'qstylizer':
'0.2.2', 'qtconsole': '5.5.1', 'queuelib': '1.6.2', 'referencing': '0.30.2', 'regex':
'2023.10.3', 'requests': '2.32.2', 'requests-file': '1.5.1', 'requests-toolbelt': '1.0.0',
'rfc3339-validator': '0.1.4', 'rfc3986-validator': '0.1.1', 'rich': '13.3.5', 'rope':
'1.12.0', 'rpds-py': '0.10.6', 'rsa': '4.9', 'ruamel.yaml': '0.17.21', 'ruamel-yaml-conda':
'0.17.21', 's3fs': '2024.3.1', 'scikit-image': '0.23.2', 'scikit-learn': '1.4.2', 'scipy':
'1.13.1', 'seaborn': '0.13.2', 'secure': '0.3.0', 'semver': '3.0.2', 'service-identity':
'18.1.0', 'setuptools': '69.5.1', 'sip': '6.7.12', 'six': '1.16.0', 'smart-open': '5.2.1',
'smmap': '4.0.0', 'sniffio': '1.3.0', 'snowballstemmer': '2.2.0', 'sortedcontainers':
'2.4.0', 'soupsieve': '2.5', 'sphinx': '7.3.7', 'sphinxcontrib-applehelp': '1.0.2',
'sphinxcontrib-devhelp': '1.0.2', 'sphinxcontrib-htmlhelp': '2.0.0', 'sphinxcontrib-jsmath':
'1.0.1', 'sphinxcontrib-qthelp': '1.0.3', 'sphinxcontrib-serializinghtml': '1.1.10',
'spyder': '5.5.1', 'spyder-kernels': '2.5.0', 'sqlmodel': '0.0.18', 'sqlparse': '0.5.3',
'stack-data': '0.2.0', 'starlette': '0.36.3', 'statsmodels': '0.14.2', 'streamlit':
'1.32.0', 'sympy': '1.12', 'tables': '3.9.2', 'tabulate': '0.9.0', 'tblib': '1.7.0',
'tenacity': '8.2.2', 'terminado': '0.17.1', 'text-unidecode': '1.3', 'textdistance':
'4.2.1', 'threadpoolctl': '2.2.0', 'three-merge': '0.1.1', 'tifffile': '2023.4.12',
'tinycss2': '1.2.1', 'tldextract': '3.2.0', 'toml': '0.10.2', 'tomli': '2.0.1', 'tomlkit':
'0.11.1', 'toolz': '0.12.0', 'tornado': '6.4.1', 'tqdm': '4.66.4', 'traitlets': '5.14.3',
'truststore': '0.8.0', 'twisted': '23.10.0', 'typing-extensions': '4.11.0', 'tzdata':
'2023.3', 'uc-micro-py': '1.0.1', 'ujson': '5.10.0', 'unicodedata2': '15.1.0',
'uri-template': '1.3.0', 'urllib3': '2.2.2', 'uvicorn': '0.34.0', 'uvloop': '0.21.0',
'w3lib': '2.1.2', 'watchdog': '4.0.1', 'watchfiles': '1.0.4', 'wcwidth': '0.2.5',
'webcolors': '24.11.1', 'webencodings': '0.5.1', 'websocket-client': '1.8.0', 'websockets':
'14.1', 'werkzeug': '3.0.3', 'whatthepatch': '1.0.2', 'wheel': '0.43.0',
'widgetsnbextension': '3.6.6', 'wrapt': '1.14.1', 'wurlitzer': '3.0.2', 'xarray':
'2023.6.0', 'xlwings': '0.31.4', 'xyzservices': '2022.9.0', 'yapf': '0.40.2', 'yarl':
'1.9.3', 'zenml': '0.72.0', 'zict': '3.0.0', 'zipp': '3.17.0', 'zope.interface': '5.4.0',
'zstandard': '0.22.0'}
Note: NumExpr detected 12 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
NumExpr defaulting to 8 threads.
CURRENT STACK
Name: my_stack
ID: ff747f2d-390a-44c8-ab59-872b88158b18
User: default / 997e9f9e-c4da-4cd6-8e2a-8f42a611bc73
Workspace: default / f8462b31-60d9-4d3f-b599-3684739e8c66
ORCHESTRATOR: default
Name: default
ID: 8d1f9dcb-eaf2-4fac-a1bc-244e3c22abf7
Type: orchestrator
Flavor: local
Configuration: {}
Workspace: default / f8462b31-60d9-4d3f-b599-3684739e8c66
ARTIFACT_STORE: default
Name: default
ID: e9c74452-2a56-4d9f-97f3-aad675f0e385
Type: artifact_store
Flavor: local
Configuration: {'path': ''}
Workspace: default / f8462b31-60d9-4d3f-b599-3684739e8c66
EXPERIMENT_TRACKER: mlflow_tracker
Name: mlflow_tracker
ID: 6b03adbd-2462-4b10-b6fc-47e1a7cf9ff2
Type: experiment_tracker
Flavor: mlflow
Configuration: {'experiment_name': None, 'nested': False, 'tags': {}, 'tracking_uri': None,
'tracking_username': '', 'tracking_password': '', 'tracking_token':
'********', 'tracking_insecure_tls': False, 'databricks_host': None, 'enable_unity_catalog':
False}
User: default / 997e9f9e-c4da-4cd6-8e2a-8f42a611bc73
Workspace: default / f8462b31-60d9-4d3f-b599-3684739e8c66
What happened?
zenml version: 0.72.0
I was trying to create a new model deployer and add it to my active stack, but I keep getting the same runtime error.
(I do apologise if this is some silly mistake on my end, I'm new to zenml and MLOps)
Thank you in advance!!
Reproduction steps
Command:
python -c "import zenml; print(zenml.path)"
Output:
['/opt/anaconda3/lib/python3.12/site-packages/zenml']
Command:
cd /opt/anaconda3/lib/python3.12/site-packages/zenml
ls stack
Output:
init.py flavor.py stack_component.py
pycache flavor_registry.py stack_validator.py
authentication_mixin.py stack.py utils.py
2. Now that I know the module exists, I tried to create the model deployer:
zenml model-deployer register mlflow_deployer --flavor=mlflow
Relevant log output
Code of Conduct
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