AttributeError: module 'zenml.logger' has no attribute 'wrapped_print' when running uv run zenml ... #4071
Description
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System Information
% ZENML_CAPTURE_PRINTS=0 uv run zenml info -a -s
ZENML_LOCAL_VERSION: 0.90.0
ZENML_SERVER_VERSION: 0.90.0
ZENML_SERVER_DATABASE: sqlite
ZENML_SERVER_DEPLOYMENT_TYPE: local
ZENML_CONFIG_DIR: /home/smarter/.config/zenml
ZENML_LOCAL_STORE_DIR: /home/smarter/.config/zenml/local_stores
ZENML_SERVER_URL: http://127.0.0.1:8237
ZENML_ACTIVE_REPOSITORY_ROOT: None
PYTHON_VERSION: 3.12.9
ENVIRONMENT: native
SYSTEM_INFO: {'os': 'linux', 'linux_distro': 'ubuntu', 'linux_distro_like': 'debian', 'linux_distro_version': '25.04'}
ACTIVE_PROJECT: default
ACTIVE_STACK: default
ACTIVE_USER: default
TELEMETRY_STATUS: enabled
ANALYTICS_CLIENT_ID: ea7ff347-b695-4dff-84bd-fd9a86cb0ad9
ANALYTICS_USER_ID: 8b518922-6720-4dc0-bf3a-c934775bdfbb
ANALYTICS_SERVER_ID: ea7ff347-b695-4dff-84bd-fd9a86cb0ad9
INTEGRATIONS: ['bitbucket', 'pytorch', 'pillow', 'openai', 'numpy', 'kaniko', 'scipy', 'airflow', 'pandas']
PACKAGES: {'blake3': '1.0.5', 'wheel': '0.45.1', 'mdurl': '0.1.2', 'rich': '14.1.0', 'datasets': '3.6.0', 'multidict': '6.6.4', 'cut-cross-entropy': '25.1.1', 'dnspython': '2.7.0', 'pynvml': '13.0.1', 'six': '1.17.0', 'markdown-it-py':
'4.0.0', 'nvidia-curand-cu12': '10.3.7.77', 'openai-harmony': '0.0.4', 'cachetools': '6.2.0', 'referencing': '0.36.2', 'psutil': '7.0.0', 'Pygments': '2.19.2', 'docstring_parser': '0.17.0', 'fastapi-cli': '0.0.8', 'openai': '1.99.1',
'filelock': '3.19.1', 'typer': '0.16.1', 'sympy': '1.14.0', 'mistral_common': '1.8.4', 'hf-xet': '1.1.9', 'nvidia-cuda-cupti-cu12': '12.6.80', 'shellingham': '1.5.4', 'sentry-sdk': '2.35.1', 'annotated-types': '0.7.0', 'accelerate':
'1.7.0', 'compressed-tensors': '0.10.2', 'fastapi-cloud-cli': '0.1.5', 'pandas': '2.3.1', 'tyro': '0.9.29', 'yarl': '1.20.1', 'llguidance': '0.7.30', 'nvidia-cublas-cu12': '12.6.4.1', 'aiohttp': '3.12.15', 'torchaudio': '2.7.1',
'docker': '7.1.0', 'jsonref': '1.1.0', 'jsonschema': '4.25.1', 'python-dotenv': '1.1.1', 'depyf': '0.19.0', 'fsspec': '2025.3.0', 'watchfiles': '1.1.0', 'aiohappyeyeballs': '2.6.1', 'typeguard': '4.3.0', 'sniffio': '1.3.1',
'jsonschema-specifications': '2025.4.1', 'lm-format-enforcer': '0.10.12', 'torchao': '0.13.0', 'tzdata': '2025.2', 'anyio': '4.10.0', 'prometheus_client': '0.22.1', 'lark': '1.2.2', 'ray': '2.49.0', 'trl': '0.15.2', 'termcolor': '3.1.0',
'zenml': '0.90.0', 'nvidia-nccl-cu12': '2.26.2', 'python-multipart': '0.0.20', 'xgrammar': '0.1.21', 'pyzmq': '27.0.2', 'nvidia-cusolver-cu12': '11.7.1.2', 'opencv-python-headless': '4.11.0.86', 'pybase64': '1.4.2', 'Jinja2': '3.1.6',
'interegular': '0.3.3', 'cffi': '1.17.1', 'py-cpuinfo': '9.0.0', 'mpmath': '1.3.0', 'setuptools': '79.0.1', 'httptools': '0.6.4', 'python-json-logger': '3.3.0', 'torch': '2.7.1', 'PyYAML': '6.0.2', 'xformers': '0.0.31', 'click': '8.2.1',
'pydantic_core': '2.33.2', 'fastapi': '0.116.1', 'dill': '0.3.8', 'rpds-py': '0.27.1', 'ninja': '1.13.0', 'unsloth_zoo': '2025.8.8', 'email-validator': '2.3.0', 'setproctitle': '1.3.7', 'xxhash': '3.5.0', 'transformers': '4.55.0',
'MarkupSafe': '3.0.2', 'nvidia-nvjitlink-cu12': '12.6.85', 'gguf': '0.17.1', 'regex': '2025.7.34', 'hf_transfer': '0.1.9', 'peft': '0.15.1', 'nvidia-ml-py': '13.580.65', 'shtab': '1.7.2', 'msgspec': '0.19.0', 'smmap': '5.0.2', 'pytz':
'2025.2', 'pillow': '11.3.0', 'charset-normalizer': '3.4.3', 'sentencepiece': '0.2.1', 'rich-toolkit': '0.15.0', 'nvidia-cuda-runtime-cu12': '12.6.77', 'pycountry': '24.6.1', 'h11': '0.16.0', 'partial-json-parser': '0.2.1.1.post6',
'msgpack': '1.1.1', 'gitdb': '4.0.12', 'nvidia-cuda-nvrtc-cu12': '12.6.77', 'urllib3': '2.5.0', 'numpy': '1.26.4', 'frozenlist': '1.7.0', 'networkx': '3.5', 'zipp': '3.19.2', 'cupy-cuda12x': '13.6.0', 'importlib_metadata': '8.0.0',
'uvicorn': '0.35.0', 'pycparser': '2.22', 'backoff': '2.2.1', 'astor': '0.8.1', 'soxr': '0.5.0.post1', 'multiprocess': '0.70.16', 'huggingface-hub': '0.34.4', 'flashinfer-python': '0.3.1', 'safetensors': '0.6.2', 'cbor2': '5.7.0',
'rignore': '0.6.4', 'fire': '0.7.0', 'fastrlock': '0.8.3', 'einops': '0.8.1', 'starlette': '0.47.3', 'llvmlite': '0.44.0', 'nvidia-nvtx-cu12': '12.6.77', 'tqdm': '4.67.1', 'nvidia-cusparselt-cu12': '0.6.3', 'jiter': '0.10.0',
'nvidia-cudnn-cu12': '9.5.1.17', 'GitPython': '3.1.45', 'tabulate': '0.9.0', 'bitsandbytes': '0.45.5', 'pyarrow': '21.0.0', 'pydantic': '2.11.7', 'pydantic-extra-types': '2.10.5', 'tokenizers': '0.21.4', 'numba': '0.61.2', 'unsloth':
'2025.5.9', 'aiosignal': '1.4.0', 'diskcache': '5.6.3', 'packaging': '24.2', 'typing-inspection': '0.4.1', 'attrs': '25.3.0', 'requests': '2.32.5', 'protobuf': '3.20.3', 'outlines_core': '0.2.10', 'uvloop': '0.21.0', 'python-dateutil':
'2.9.0.post0', 'certifi': '2025.8.3', 'prometheus-fastapi-instrumentator': '7.1.0', 'idna': '3.10', 'soundfile': '0.13.1', 'tiktoken': '0.11.0', 'nvidia-cufft-cu12': '11.3.0.4', 'triton': '3.3.1', 'nvidia-cufile-cu12': '1.11.1.6',
'propcache': '0.3.2', 'diffusers': '0.35.1', 'cloudpickle': '3.1.1', 'websockets': '15.0.1', 'scipy': '1.16.1', 'vllm': '0.10.1.1', 'nvidia-cusparse-cu12': '12.5.4.2', 'torchvision': '0.22.1', 'typing_extensions': '4.12.2',
'nvidia-cudnn-frontend': '1.14.1', 'httpx': '0.28.1', 'httpcore': '1.0.9', 'distro': '1.9.0', 'platformdirs': '4.2.2', 'jaraco.collections': '5.1.0', 'jaraco.text': '3.12.1', 'inflect': '7.3.1', 'tomli': '2.0.1', 'more-itertools':
'10.3.0', 'autocommand': '2.2.2', 'jaraco.functools': '4.0.1', 'backports.tarfile': '1.2.0', 'jaraco.context': '5.3.0'}
CURRENT STACK
Name: default
ID: 21acf1da-e5c8-4881-8660-8d09c9b129c2
ARTIFACT_STORE: default
Name: default
ID: 34dc6fd4-9652-4c22-b958-a90c6d13827c
Type: artifact_store
Flavor: local
Configuration: {}
ORCHESTRATOR: default
Name: default
ID: e353d6e8-874b-4ca8-8fa7-83914b7f025a
Type: orchestrator
Flavor: local
Configuration: {}
What happened?
Using zenml ... fails with "AttributeError: module 'zenml.logger' has no attribute 'wrapped_print'". As a workaround, I can get it to work by firs setting ZENML_CAPTURE_PRINTS=0.
Reproduction steps
% uv add zenml
...
% uv run zenml info
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /home/smarter/opt/persona_vectors/.venv/bin/zenml:10 in <module> │
│ │
│ 7 │ │ sys.argv[0] = sys.argv[0][:-11] │
│ 8 │ elif sys.argv[0].endswith(".exe"): │
│ 9 │ │ sys.argv[0] = sys.argv[0][:-4] │
│ ❱ 10 │ sys.exit(cli()) │
│ 11 │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/click/core.py:1442 in │
│ __call__ │
│ │
│ 1439 │ │
│ 1440 │ def __call__(self, *args: t.Any, **kwargs: t.Any) -> t.Any: │
│ 1441 │ │ """Alias for :meth:`main`.""" │
│ ❱ 1442 │ │ return self.main(*args, **kwargs) │
│ 1443 │
│ 1444 │
│ 1445 class _FakeSubclassCheck(type): │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/click/core.py:1363 in main │
│ │
│ 1360 │ │ try: │
│ 1361 │ │ │ try: │
│ 1362 │ │ │ │ with self.make_context(prog_name, args, **extra) as ctx: │
│ ❱ 1363 │ │ │ │ │ rv = self.invoke(ctx) │
│ 1364 │ │ │ │ │ if not standalone_mode: │
│ 1365 │ │ │ │ │ │ return rv │
│ 1366 │ │ │ │ │ # it's not safe to `ctx.exit(rv)` here! │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/click/core.py:1830 in │
│ invoke │
│ │
│ 1827 │ │ │ │ super().invoke(ctx) │
│ 1828 │ │ │ │ sub_ctx = cmd.make_context(cmd_name, args, parent=ctx) │
│ 1829 │ │ │ │ with sub_ctx: │
│ ❱ 1830 │ │ │ │ │ return _process_result(sub_ctx.command.invoke(sub_ctx)) │
│ 1831 │ │ │
│ 1832 │ │ # In chain mode we create the contexts step by step, but after the │
│ 1833 │ │ # base command has been invoked. Because at that point we do not │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/click/core.py:1226 in │
│ invoke │
│ │
│ 1223 │ │ │ echo(style(message, fg="red"), err=True) │
│ 1224 │ │ │
│ 1225 │ │ if self.callback is not None: │
│ ❱ 1226 │ │ │ return ctx.invoke(self.callback, **ctx.params) │
│ 1227 │ │
│ 1228 │ def shell_complete(self, ctx: Context, incomplete: str) -> list[CompletionItem]: │
│ 1229 │ │ """Return a list of completions for the incomplete value. Looks │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/click/core.py:794 in invoke │
│ │
│ 791 │ │ │
│ 792 │ │ with augment_usage_errors(self): │
│ 793 │ │ │ with ctx: │
│ ❱ 794 │ │ │ │ return callback(*args, **kwargs) │
│ 795 │ │
│ 796 │ def forward(self, cmd: Command, /, *args: t.Any, **kwargs: t.Any) -> t.Any: │
│ 797 │ │ """Similar to :meth:`invoke` but fills in default keyword │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/zenml/cli/base.py:638 in │
│ info │
│ │
│ 635 │ │ "analytics_client_id": str(gc.user_id), │
│ 636 │ │ "analytics_user_id": str(client.active_user.id), │
│ 637 │ │ "analytics_server_id": str(client.zen_store.get_store_info().id), │
│ ❱ 638 │ │ "integrations": integration_registry.get_installed_integrations(), │
│ 639 │ │ "packages": {}, │
│ 640 │ │ "query_packages": {}, │
│ 641 │ } │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/zenml/integrations/registry │
│ .py:230 in get_installed_integrations │
│ │
│ 227 │ │ Returns: │
│ 228 │ │ │ List of installed integrations. │
│ 229 │ │ """ │
│ ❱ 230 │ │ self._initialize() │
│ 231 │ │ return [ │
│ 232 │ │ │ name │
│ 233 │ │ │ for name, integration in integration_registry.integrations.items() │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/zenml/integrations/registry │
│ .py:94 in _initialize │
│ │
│ 91 │ │ │ # Import the module │
│ 92 │ │ │ module_path = f"zenml.integrations.{file}" │
│ 93 │ │ │ try: │
│ ❱ 94 │ │ │ │ importlib.import_module(module_path) │
│ 95 │ │ │ except ImportError: │
│ 96 │ │ │ │ logger.exception(f"Failed to import module `{module_path}`.") │
│ 97 │ │ │ │ continue │
│ │
│ /home/smarter/.local/share/uv/python/cpython-3.12.9-linux-x86_64-gnu/lib/python3.12/importlib/__ │
│ init__.py:90 in import_module │
│ │
│ 87 │ │ │ if character != '.': │
│ 88 │ │ │ │ break │
│ 89 │ │ │ level += 1 │
│ ❱ 90 │ return _bootstrap._gcd_import(name[level:], package, level) │
│ 91 │
│ 92 │
│ 93 _RELOADING = {} │
│ in _gcd_import:1387 │
│ in _find_and_load:1360 │
│ in _find_and_load_unlocked:1331 │
│ in _load_unlocked:935 │
│ in exec_module:999 │
│ in _call_with_frames_removed:488 │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/zenml/integrations/evidentl │
│ y/__init__.py:36 in <module> │
│ │
│ 33 │
│ 34 # Fix numba errors in Docker and suppress logs and deprecation warning spam │
│ 35 try: │
│ ❱ 36 │ from numba.core.errors import ( │
│ 37 │ │ NumbaDeprecationWarning, │
│ 38 │ │ NumbaPendingDeprecationWarning, │
│ 39 │ ) │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/__init__.py:92 in │
│ <module> │
│ │
│ 89 from numba.core.types import * │
│ 90 │
│ 91 # Re-export decorators │
│ ❱ 92 from numba.core.decorators import (cfunc, jit, njit, stencil, │
│ 93 │ │ │ │ │ │ │ │ jit_module) │
│ 94 │
│ 95 # Re-export vectorize decorators and the thread layer querying function │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/decorators.py:12 │
│ in <module> │
│ │
│ 9 import logging │
│ 10 │
│ 11 from numba.core.errors import DeprecationError, NumbaDeprecationWarning │
│ ❱ 12 from numba.stencils.stencil import stencil │
│ 13 from numba.core import config, extending, sigutils, registry │
│ 14 │
│ 15 _logger = logging.getLogger(__name__) │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/stencils/stencil.py:1 │
│ 1 in <module> │
│ │
│ 8 import numpy as np │
│ 9 from llvmlite import ir as lir │
│ 10 │
│ ❱ 11 from numba.core import types, typing, utils, ir, config, ir_utils, registry │
│ 12 from numba.core.typing.templates import (CallableTemplate, signature, │
│ 13 │ │ │ │ │ │ │ │ │ │ infer_global, AbstractTemplate) │
│ 14 from numba.core.imputils import lower_builtin │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/registry.py:6 in │
│ <module> │
│ │
│ 3 from numba.core.utils import threadsafe_cached_property as cached_property │
│ 4 │
│ 5 from numba.core.descriptors import TargetDescriptor │
│ ❱ 6 from numba.core import utils, typing, dispatcher, cpu │
│ 7 │
│ 8 # ----------------------------------------------------------------------------- │
│ 9 # Default CPU target descriptors │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/dispatcher.py:14 │
│ in <module> │
│ │
│ 11 from abc import abstractmethod │
│ 12 │
│ 13 from numba import _dispatcher │
│ ❱ 14 from numba.core import ( │
│ 15 │ utils, types, errors, typing, serialize, config, compiler, sigutils │
│ 16 ) │
│ 17 from numba.core.compiler_lock import global_compiler_lock │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/compiler.py:6 in │
│ <module> │
│ │
│ 3 import warnings │
│ 4 from numba.core.tracing import event │
│ 5 │
│ ❱ 6 from numba.core import (errors, interpreter, bytecode, postproc, config, │
│ 7 │ │ │ │ │ │ callconv, cpu) │
│ 8 from numba.parfors.parfor import ParforDiagnostics │
│ 9 from numba.core.errors import CompilerError │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/callconv.py:13 │
│ in <module> │
│ │
│ 10 from llvmlite import ir │
│ 11 │
│ 12 from numba.core import types, cgutils, errors │
│ ❱ 13 from numba.core.base import PYOBJECT, GENERIC_POINTER │
│ 14 │
│ 15 │
│ 16 TryStatus = namedtuple('TryStatus', ['in_try', 'excinfo']) │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/base.py:20 in │
│ <module> │
│ │
│ 17 from numba.core.imputils import (user_function, user_generator, │
│ 18 │ │ │ │ │ builtin_registry, impl_ret_borrowed, │
│ 19 │ │ │ │ │ RegistryLoader) │
│ ❱ 20 from numba.cpython import builtins │
│ 21 │
│ 22 GENERIC_POINTER = llvmir.PointerType(llvmir.IntType(8)) │
│ 23 PYOBJECT = GENERIC_POINTER │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/cpython/builtins.py:6 │
│ in <module> │
│ │
│ 3 from numba.core import config │
│ 4 │
│ 5 if config.USE_LEGACY_TYPE_SYSTEM: │
│ ❱ 6 │ sys.modules[__name__] = _RedirectSubpackage(locals(), │
│ 7 │ │ │ │ │ │ │ │ │ │ │ │ "numba.cpython.old_builtins") │
│ 8 else: │
│ 9 │ sys.modules[__name__] = _RedirectSubpackage(locals(), │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/utils.py:694 in │
│ __init__ │
│ │
│ 691 │ │ self.__old_module_states = {} │
│ 692 │ │ self.__new_module = new_module │
│ 693 │ │ │
│ ❱ 694 │ │ new_mod_obj = import_module(new_module) │
│ 695 │ │ │
│ 696 │ │ # Map all sub-modules over │
│ 697 │ │ for k, v in new_mod_obj.__dict__.items(): │
│ │
│ /home/smarter/.local/share/uv/python/cpython-3.12.9-linux-x86_64-gnu/lib/python3.12/importlib/__ │
│ init__.py:90 in import_module │
│ │
│ 87 │ │ │ if character != '.': │
│ 88 │ │ │ │ break │
│ 89 │ │ │ level += 1 │
│ ❱ 90 │ return _bootstrap._gcd_import(name[level:], package, level) │
│ 91 │
│ 92 │
│ 93 _RELOADING = {} │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/cpython/old_builtins. │
│ py:554 in <module> │
│ │
│ 551 │
│ 552 # ----------------------------------------------------------------------------- │
│ 553 │
│ ❱ 554 from numba.core.typing.builtins import IndexValue, IndexValueType │
│ 555 from numba.extending import overload, register_jitable │
│ 556 │
│ 557 @lower_builtin(IndexValue, types.intp, types.Type) │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/typing/builtins. │
│ py:6 in <module> │
│ │
│ 3 from numba.core import config │
│ 4 │
│ 5 if config.USE_LEGACY_TYPE_SYSTEM: │
│ ❱ 6 │ sys.modules[__name__] = _RedirectSubpackage( │
│ 7 │ │ locals(), │
│ 8 │ │ "numba.core.typing.old_builtins" │
│ 9 │ ) │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/utils.py:694 in │
│ __init__ │
│ │
│ 691 │ │ self.__old_module_states = {} │
│ 692 │ │ self.__new_module = new_module │
│ 693 │ │ │
│ ❱ 694 │ │ new_mod_obj = import_module(new_module) │
│ 695 │ │ │
│ 696 │ │ # Map all sub-modules over │
│ 697 │ │ for k, v in new_mod_obj.__dict__.items(): │
│ │
│ /home/smarter/.local/share/uv/python/cpython-3.12.9-linux-x86_64-gnu/lib/python3.12/importlib/__ │
│ init__.py:90 in import_module │
│ │
│ 87 │ │ │ if character != '.': │
│ 88 │ │ │ │ break │
│ 89 │ │ │ level += 1 │
│ ❱ 90 │ return _bootstrap._gcd_import(name[level:], package, level) │
│ 91 │
│ 92 │
│ 93 _RELOADING = {} │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/typing/old_built │
│ ins.py:21 in <module> │
│ │
│ 18 │ ) │
│ 19 │
│ 20 │
│ ❱ 21 @infer_global(print) │
│ 22 class Print(AbstractTemplate): │
│ 23 │ def generic(self, args, kws): │
│ 24 │ │ for a in args: │
│ │
│ /home/smarter/opt/persona_vectors/.venv/lib/python3.12/site-packages/numba/core/typing/templates │
│ .py:1293 in register_global │
│ │
│ 1290 │ │ │ │ # Check the value is globally reachable, as it is going │
│ 1291 │ │ │ │ # to be used as the key. │
│ 1292 │ │ │ │ mod = sys.modules[val.__module__] │
│ ❱ 1293 │ │ │ │ if getattr(mod, val.__name__) is not val: │
│ 1294 │ │ │ │ │ raise ValueError("%r is not globally reachable as '%s.%s'" │
│ 1295 │ │ │ │ │ │ │ │ │ % (mod, val.__module__, val.__name__)) │
│ 1296 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: module 'zenml.logger' has no attribute 'wrapped_print'
% ZENML_CAPTURE_PRINTS=0 uv run zenml info
ZENML_LOCAL_VERSION: 0.90.0
ZENML_SERVER_VERSION: 0.90.0
ZENML_SERVER_DATABASE: sqlite
ZENML_SERVER_DEPLOYMENT_TYPE: local
ZENML_CONFIG_DIR: /home/smarter/.config/zenml
ZENML_LOCAL_STORE_DIR: /home/smarter/.config/zenml/local_stores
ZENML_SERVER_URL: http://127.0.0.1:8237
ZENML_ACTIVE_REPOSITORY_ROOT: None
PYTHON_VERSION: 3.12.9
ENVIRONMENT: native
SYSTEM_INFO: {'os': 'linux', 'linux_distro': 'ubuntu', 'linux_distro_like': 'debian', 'linux_distro_version': '25.04'}
ACTIVE_PROJECT: default
ACTIVE_STACK: default
ACTIVE_USER: default
TELEMETRY_STATUS: enabled
ANALYTICS_CLIENT_ID: ea7ff347-b695-4dff-84bd-fd9a86cb0ad9
ANALYTICS_USER_ID: 8b518922-6720-4dc0-bf3a-c934775bdfbb
ANALYTICS_SERVER_ID: ea7ff347-b695-4dff-84bd-fd9a86cb0ad9
INTEGRATIONS: ['bitbucket', 'pytorch', 'pillow', 'openai', 'numpy', 'kaniko', 'scipy', 'airflow', 'pandas']Relevant log output
Code of Conduct
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