You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We recently updated our zenml OSS server to version 0.58.
Our stack works fine and we have been running our pipelines without issues. Yesterday I tried to make a copy of my active stack to play around with components, and I got this error when it tried to copy the alerter component (Slack Alerter, full stacktrace further below):
...
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/integrations/slack/flavors/slack_alerter_flavor.py", line 82, in is_valid
logger.error("Slack API Error:", e.response["error"])
Message: 'Slack API Error:'
Arguments: ('missing_scope',)
...
ValueError: Invalid stack component configuration. Please verify the configurations set for alerter.
The slack alerter component is simple enough to set up again, so this is not a massive deal, but I thought you might want to know. I never tried to copy the stack before so I don't really know if this ever worked and was broken by the migration, or if it never worked.
Reproduction steps
No response
Relevant log output
Traceback (most recent call last):
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/integrations/slack/flavors/slack_alerter_flavor.py", line 75, in is_valid
response = client.conversations_info(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/slack_sdk/web/client.py", line 2852, in conversations_info
return self.api_call("conversations.info", http_verb="GET", params=kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/slack_sdk/web/base_client.py", line 155, in api_call
return self._sync_send(api_url=api_url, req_args=req_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/slack_sdk/web/base_client.py", line 186, in _sync_send
return self._urllib_api_call(
^^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/slack_sdk/web/base_client.py", line 317, in _urllib_api_call
).validate()
^^^^^^^^^^
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/slack_sdk/web/slack_response.py", line 199, in validate
raise e.SlackApiError(message=msg, response=self)
slack_sdk.errors.SlackApiError: The request to the Slack API failed. (url: https://www.slack.com/api/conversations.info)
The server responded with: {'ok': False, 'error': 'missing_scope', 'needed': 'channels:read,groups:read,mpim:read,im:read', 'provided':
'chat:write,chat:write.customize,chat:write.public'}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib/python3.11/logging/__init__.py", line 1110, in emit
msg = self.format(record)
^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/logging/__init__.py", line 953, in format
return fmt.format(record)
^^^^^^^^^^^^^^^^^^
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/logger.py", line 87, in format
formatted_message = formatter.format(record)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/logging/__init__.py", line 687, in format
record.message = record.getMessage()
^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/logging/__init__.py", line 377, in getMessage
msg = msg % self.args
~~~~^~~~~~~~~~~
TypeError: not all arguments converted during string formatting
Call stack:
File "/workspaces/mlmodels-delinquency/.venv/bin/zenml", line 8, in<module>sys.exit(cli())
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py", line 1130, in __call__
return self.main(*args, **kwargs)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py", line 1055, in main
rv = self.invoke(ctx)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py", line 1657, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py", line 1657, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py", line 1404, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py", line 760, in invoke
return __callback(*args, **kwargs)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/cli/stack.py", line 1071, in copy_stack
copied_stack = client.create_stack(
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client_lazy_loader.py", line 192, in _inner
return func(*args_, **kwargs)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client.py", line 1187, in create_stack
self._validate_stack_configuration(stack=stack)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client_lazy_loader.py", line 192, in _inner
return func(*args_, **kwargs)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client.py", line 1536, in _validate_stack_configuration
configuration = validate_stack_component_config(
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/stack/utils.py", line 79, in validate_stack_component_config
if not configuration.is_valid:
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/stack/stack_component.py", line 195, in __custom_getattribute__
value = super().__getattribute__(key)
File "/workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/integrations/slack/flavors/slack_alerter_flavor.py", line 82, in is_valid
logger.error("Slack API Error:", e.response["error"])
Message: 'Slack API Error:'
Arguments: ('missing_scope',)
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /workspaces/mlmodels-delinquency/.venv/bin/zenml:8 in<module> │
│ │
│ 5 from zenml.cli.cli import cli │
│ 6 if __name__ == "__main__": │
│ 7 │ sys.argv[0] = re.sub(r"(-script\.pyw|\.exe)?$", "", sys.argv[0]) │
│ ❱ 8 │ sys.exit(cli()) │
│ 9 │
│ │
│ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py:1130 in │
│ __call__ │
│ │
│ 1127 │ │
│ 1128 │ def __call__(self, *args: t.Any, **kwargs: t.Any) -> t.Any: │
│ 1129 │ │ """Alias for :meth:`main`.""" │
│ ❱ 1130 │ │ return self.main(*args, **kwargs) │
│ 1131 │
│ 1132 │
│ 1133 class Command(BaseCommand): │
│ │
│ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py:1055 in main │
│ │
│ 1052 │ │ try: │
│ 1053 │ │ │ try: │
│ 1054 │ │ │ │ with self.make_context(prog_name, args, **extra) as ctx: │
│ ❱ 1055 │ │ │ │ │ rv = self.invoke(ctx) │
│ 1056 │ │ │ │ │ if not standalone_mode: │
│ 1057 │ │ │ │ │ │ return rv │
│ 1058 │ │ │ │ │ # it's not safe to `ctx.exit(rv)` here! │
│ │
│ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py:1657 in invoke │
│ │
│ 1654 │ │ │ │ super().invoke(ctx) │
│ 1655 │ │ │ │ sub_ctx = cmd.make_context(cmd_name, args, parent=ctx) │
│ 1656 │ │ │ │ with sub_ctx: │
│ ❱ 1657 │ │ │ │ │ return _process_result(sub_ctx.command.invoke(sub_ctx)) │
│ 1658 │ │ │
│ 1659 │ │ # In chain mode we create the contexts step by step, but after the │
│ 1660 │ │ # base command has been invoked. Because at that point we do not │
│ │
│ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py:1657 in invoke │
│ │
│ 1654 │ │ │ │ super().invoke(ctx) │
│ 1655 │ │ │ │ sub_ctx = cmd.make_context(cmd_name, args, parent=ctx) │
│ 1656 │ │ │ │ with sub_ctx: │
│ ❱ 1657 │ │ │ │ │ return _process_result(sub_ctx.command.invoke(sub_ctx)) │
│ 1658 │ │ │
│ 1659 │ │ # In chain mode we create the contexts step by step, but after the │
│ 1660 │ │ # base command has been invoked. Because at that point we do not │
│ │
│ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py:1404 in invoke │
│ │
│ 1401 │ │ │ echo(style(message, fg="red"), err=True) │
│ 1402 │ │ │
│ 1403 │ │ if self.callback is not None: │
│ ❱ 1404 │ │ │ return ctx.invoke(self.callback, **ctx.params) │
│ 1405 │ │
│ 1406 │ def shell_complete(self, ctx: Context, incomplete: str) -> t.List["CompletionItem"]: │
│ 1407 │ │ """Return a list of completions for the incomplete value. Looks ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/click/core.py:760 in invoke ││ ││ 757 │ │ ││ 758 │ │ with augment_usage_errors(__self): ││ 759 │ │ │ with ctx: ││ ❱ 760 │ │ │ │ return __callback(*args, **kwargs) ││ 761 │ ││ 762 │ def forward( ││ 763 │ │ __self, __cmd: "Command", *args: t.Any, **kwargs: t.Any # noqa: B902 ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/cli/stack.py:1071 in ││ copy_stack ││ ││ 1068 │ │ │ if c_list: ││ 1069 │ │ │ │ component_mapping[c_type] = c_list[0].id ││ 1070 │ │ ││ ❱ 1071 │ │ copied_stack = client.create_stack( ││ 1072 │ │ │ name=target_stack, ││ 1073 │ │ │ components=component_mapping, ││ 1074 │ │ ) ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client_lazy_loader.py: ││ 192 in _inner ││ ││ 189 │ │ │ │ │ with contextlib.suppress(ValueError): ││ 190 │ │ │ │ │ │ kwargs[k] = ClientLazyLoader(**v).evaluate() ││ 191 │ │ │ ││ ❱ 192 │ │ │ return func(*args_, **kwargs) ││ 193 │ │ ││ 194 │ │ return _inner ││ 195 ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client.py:1187 in ││ create_stack ││ ││ 1184 │ │ │ user=self.active_user.id, ││ 1185 │ │ ) ││ 1186 │ │ ││ ❱ 1187 │ │ self._validate_stack_configuration(stack=stack) ││ 1188 │ │ ││ 1189 │ │ return self.zen_store.create_stack(stack=stack) ││ 1190 ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client_lazy_loader.py: ││ 192 in _inner ││ ││ 189 │ │ │ │ │ with contextlib.suppress(ValueError): ││ 190 │ │ │ │ │ │ kwargs[k] = ClientLazyLoader(**v).evaluate() ││ 191 │ │ │ ││ ❱ 192 │ │ │ return func(*args_, **kwargs) ││ 193 │ │ ││ 194 │ │ return _inner ││ 195 ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/client.py:1536 in ││ _validate_stack_configuration ││ ││ 1533 │ │ │ │ │ warn_if_config_server_mismatch, ││ 1534 │ │ │ │ ) ││ 1535 │ │ │ │ ││ ❱ 1536 │ │ │ │ configuration = validate_stack_component_config( ││ 1537 │ │ │ │ │ configuration_dict=component.configuration, ││ 1538 │ │ │ │ │ flavor_name=component.flavor, ││ 1539 │ │ │ │ │ component_type=component.type, ││ ││ /workspaces/mlmodels-delinquency/.venv/lib/python3.11/site-packages/zenml/stack/utils.py:80 in ││ validate_stack_component_config ││ ││ 77 │ ││ 78 │ configuration = flavor_class.config_class(**configuration_dict) ││ 79 │ if not configuration.is_valid: ││ ❱ 80 │ │ raise ValueError( ││ 81 │ │ │ f"Invalid stack component configuration. Please verify " ││ 82 │ │ │ f"the configurations setfor {component_type}." ││ 83 │ │ ) │╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ValueError: Invalid stack component configuration. Please verify the configurations set for alerter.
Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
Hey @jlopezpena , thanks for reporting! I checked this issue and it works just right if the token is properly configured with the given versions.
The error message suggests that the scopes set for the token do not fulfill the requirements. Can you look into extending the scopes to the needed channels:read,groups:read,mpim:read,im:read while given are chat:write,chat:write.customize,chat:write.public? More details on the Conversations API for Slack
Checked recreating the token and it worked, I guess what confuses me is how it did work before with the wrong token, for several versions, and then stopped. In any case, deleting the token and recreating it is a simple enough solution, so I am happy to close this
Contact Details [Optional]
No response
System Information
ZENML_LOCAL_VERSION: 0.58.0
ZENML_SERVER_VERSION: 0.58.0
ZENML_SERVER_DATABASE: mysql
ZENML_SERVER_DEPLOYMENT_TYPE: other
ZENML_CONFIG_DIR: /root/.config/zenml
ZENML_LOCAL_STORE_DIR: /root/.config/zenml/local_stores
ZENML_SERVER_URL: https://zenml.wayflyer.team
ZENML_ACTIVE_REPOSITORY_ROOT: /workspaces/mlmodels-delinquency
PYTHON_VERSION: 3.11.6
ENVIRONMENT: native
SYSTEM_INFO: {'os': 'linux', 'linux_distro': 'ubuntu', 'linux_distro_like': 'debian', 'linux_distro_version': '23.10'}
ACTIVE_WORKSPACE: default
ACTIVE_STACK: Wayflyer DS
ACTIVE_USER: javier.lopezpena
TELEMETRY_STATUS: enabled
ANALYTICS_CLIENT_ID: 2e9c30c6-120c-46c8-a66c-9214b2a32653
ANALYTICS_USER_ID: fda958f2-f055-47c7-942c-9ff3977f610e
ANALYTICS_SERVER_ID: 15db87e7-3688-4478-8c1f-f7d634988a14
INTEGRATIONS: ['bitbucket', 'kaniko', 'lightgbm', 'pigeon', 'pillow', 's3', 'scipy', 'sklearn', 'slack', 'xgboost']
PACKAGES: {'babel': '2.14.0', 'deprecated': '1.2.14', 'faker': '24.0.0', 'gitpython': '3.1.42', 'jinja2': '3.1.3', 'mako': '1.3.2', 'markdown': '3.6',
'markupsafe': '2.1.5', 'pyjwt': '2.7.0', 'pymysql': '1.1.1', 'pyyaml': '6.0.1', 'sqlalchemy': '1.4.41', 'sqlalchemy-utils': '0.38.3', 'absl-py': '2.1.0',
'accessible-pygments': '0.0.4', 'aiobotocore': '2.5.2', 'aiohttp': '3.9.3', 'aioitertools': '0.11.0', 'aiosignal': '1.3.1', 'alabaster': '0.7.16', 'alembic':
'1.8.1', 'anyio': '4.3.0', 'appdirs': '1.4.4', 'arfs': '2.2.6', 'argparse': '1.4.0', 'asn1crypto': '1.5.1', 'asttokens': '2.4.1', 'attrs': '23.2.0',
'aws-profile-manager': '0.7.3', 'azure-common': '1.1.28', 'azure-core': '1.30.1', 'azure-mgmt-core': '1.4.0', 'azure-mgmt-resource': '23.0.1', 'bcrypt': '4.0.1',
'beautifulsoup4': '4.12.3', 'boto3': '1.26.76', 'botocore': '1.29.161', 'bytecode': '0.15.1', 'cachetools': '5.3.3', 'cattrs': '23.2.3', 'certifi': '2024.2.2',
'cffi': '1.16.0', 'chardet': '5.2.0', 'charset-normalizer': '3.3.2', 'clarabel': '0.7.1', 'click': '8.1.3', 'click-params': '0.3.0', 'cloudpickle': '2.2.1',
'colorama': '0.4.6', 'colorcet': '3.1.0', 'comm': '0.2.1', 'configparser': '6.0.1', 'contourpy': '1.2.0', 'coverage': '7.4.3', 'cryptography': '42.0.5', 'cvxpy':
'1.4.2', 'cycler': '0.12.1', 'datadog': '0.49.1', 'ddsketch': '3.0.1', 'ddtrace': '2.8.1', 'debugpy': '1.8.1', 'decorator': '5.1.1', 'deptry': '0.16.1',
'diff-cover': '8.0.3', 'distro': '1.9.0', 'docker': '6.1.3', 'docopt': '0.6.2', 'docutils': '0.20.1', 'dynaconf': '3.2.4', 'ecos': '2.0.13', 'entrypoints':
'0.4', 'envier': '0.5.1', 'evidently': '0.4.16', 'executing': '2.0.1', 'fastapi': '0.99.1', 'fastapi-utils': '0.2.1', 'fastjsonschema': '2.19.1',
'feature-engine': '1.6.2', 'filelock': '3.13.1', 'fonttools': '4.49.0', 'frozenlist': '1.4.1', 'fsspec': '2023.4.0', 'furo': '2024.1.29', 'giskard': '2.8.0',
'gitdb': '4.0.11', 'greenlet': '3.0.3', 'griffe': '0.42.1', 'h11': '0.14.0', 'httpcore': '1.0.4', 'httplib2': '0.19.1', 'httptools': '0.6.1', 'httpx': '0.27.0',
'idna': '3.6', 'imagesize': '1.4.1', 'importlib-metadata': '6.11.0', 'iniconfig': '2.0.0', 'ipinfo': '5.0.1', 'ipykernel': '6.29.3', 'ipython': '8.22.2',
'ipywidgets': '8.1.2', 'isodate': '0.6.1', 'iterative-telemetry': '0.0.8', 'jedi': '0.19.1', 'jmespath': '1.0.1', 'joblib': '1.3.2', 'jsonschema': '4.21.1',
'jsonschema-specifications': '2023.12.1', 'jupyter-book': '1.0.0', 'jupyter-cache': '1.0.0', 'jupyter-client': '8.6.0', 'jupyter-core': '5.7.1',
'jupyterlab-widgets': '3.0.10', 'jupytext': '1.16.1', 'kiwisolver': '1.4.5', 'langdetect': '1.0.9', 'latexcodec': '2.0.1', 'lightgbm': '4.3.0', 'linkify-it-py':
'2.0.3', 'litestar': '2.6.3', 'livereload': '2.6.3', 'llvmlite': '0.42.0', 'markdown-it-py': '3.0.0', 'matplotlib': '3.8.3', 'matplotlib-inline': '0.1.6',
'mdit-py-plugins': '0.4.0', 'mdurl': '0.1.2', 'mixpanel': '4.10.1', 'mlflow-skinny': '2.11.3', 'msgspec': '0.18.6', 'multidict': '6.0.5', 'mypy': '1.8.0',
'mypy-extensions': '1.0.0', 'myst-nb': '1.0.0', 'myst-parser': '2.0.0', 'nbclient': '0.9.0', 'nbformat': '5.9.2', 'nest-asyncio': '1.6.0', 'nltk': '3.8.1',
'num2words': '0.5.13', 'numba': '0.59.0', 'numpy': '1.26.4', 'opentelemetry-api': '1.23.0', 'optbinning': '0.19.0', 'orjson': '3.10.3', 'ortools': '9.7.2996',
'osqp': '0.6.4', 'packaging': '23.2', 'pandas': '2.2.2', 'pandas-stubs': '2.2.0.240218', 'parso': '0.8.3', 'passlib': '1.7.4', 'pathspec': '0.12.1', 'patsy':
'0.5.6', 'pexpect': '4.9.0', 'pika': '1.3.2', 'pillow': '10.2.0', 'platformdirs': '3.11.0', 'plotly': '5.19.0', 'pluggy': '1.4.0', 'polyfactory': '2.15.0',
'prompt-toolkit': '3.0.43', 'protobuf': '4.25.3', 'psutil': '5.9.8', 'ptyprocess': '0.7.0', 'pure-eval': '0.2.2', 'pyopenssl': '24.0.0', 'pyarrow': '15.0.0',
'pybind11': '2.11.1', 'pybtex': '0.24.0', 'pybtex-docutils': '1.0.3', 'pycparser': '2.21', 'pydantic': '1.10.14', 'pydata-sphinx-theme': '0.15.2', 'pygments':
'2.17.2', 'pyparsing': '2.4.7', 'pytest': '8.0.2', 'pytest-cov': '4.1.0', 'python-dateutil': '2.9.0.post0', 'python-dotenv': '1.0.1', 'python-multipart':
'0.0.9', 'pytz': '2024.1', 'pyxirr': '0.10.3', 'pyzmq': '25.1.2', 'qdldl': '0.1.7.post0', 'referencing': '0.33.0', 'regex': '2023.12.25', 'requests': '2.31.0',
'requests-toolbelt': '1.0.0', 'rich': '13.7.1', 'rich-click': '1.7.3', 'ropwr': '1.0.0', 'rpds-py': '0.18.0', 'ruff': '0.3.0', 's3fs': '2023.4.0', 's3transfer':
'0.6.2', 'scikit-learn': '1.5.0', 'scipy': '1.11.4', 'scs': '3.2.4.post1', 'seaborn': '0.13.2', 'secure': '0.3.0', 'sentry-sdk': '1.44.1', 'setuptools':
'69.1.1', 'shap': '0.44.1', 'six': '1.16.0', 'slack-sdk': '3.27.1', 'slicer': '0.0.7', 'smmap': '5.0.1', 'sniffio': '1.3.1', 'snowballstemmer': '2.2.0',
'snowflake-connector-python': '3.7.1', 'sortedcontainers': '2.4.0', 'soupsieve': '2.5', 'sphinx': '7.2.6', 'sphinx-autobuild': '2024.2.4', 'sphinx-basic-ng':
'1.0.0b2', 'sphinx-book-theme': '1.1.2', 'sphinx-comments': '0.0.3', 'sphinx-copybutton': '0.5.2', 'sphinx-design': '0.5.0', 'sphinx-external-toc': '1.0.1',
'sphinx-jupyterbook-latex': '1.0.0', 'sphinx-multitoc-numbering': '0.1.3', 'sphinx-thebe': '0.3.1', 'sphinx-togglebutton': '0.3.2', 'sphinxcontrib-applehelp':
'1.0.8', 'sphinxcontrib-bibtex': '2.6.2', 'sphinxcontrib-devhelp': '1.0.6', 'sphinxcontrib-htmlhelp': '2.0.5', 'sphinxcontrib-jsmath': '1.0.1',
'sphinxcontrib-qthelp': '1.0.7', 'sphinxcontrib-serializinghtml': '1.1.10', 'sqlalchemy2-stubs': '0.0.2a38', 'sqlfluff': '3.0.6', 'sqlmodel': '0.0.8',
'sqlparse': '0.4.4', 'stack-data': '0.6.3', 'starlette': '0.27.0', 'statsmodels': '0.14.1', 'tabulate': '0.9.0', 'tblib': '3.0.0', 'tenacity': '8.2.3',
'threadpoolctl': '3.3.0', 'toml': '0.10.2', 'tomlkit': '0.12.4', 'tornado': '6.4', 'tqdm': '4.66.2', 'traitlets': '5.14.1', 'typer': '0.9.0', 'types-pygments':
'2.17.0.20240310', 'types-docutils': '0.20.0.20240331', 'types-pytz': '2024.1.0.20240203', 'types-setuptools': '69.2.0.20240317', 'typing-extensions': '4.10.0',
'typing-inspect': '0.9.0', 'tzdata': '2024.1', 'uc-micro-py': '1.0.3', 'urllib3': '1.26.18', 'uvicorn': '0.27.1', 'uvloop': '0.19.0', 'validators': '0.18.2',
'watchdog': '4.0.0', 'watchfiles': '0.21.0', 'wcwidth': '0.2.13', 'websocket-client': '1.7.0', 'websockets': '12.0', 'wf-aws': '1.15.0', 'wf-blackbox': '3.0.5',
'wf-bunny': '4.7.0', 'wf-cli': '1.27.9', 'wf-cli-plugin-aws': '1.5.7', 'wf-cli-plugin-docs': '1.2.7', 'wf-cli-plugin-login': '1.1.0', 'wf-cli-plugin-py':
'2.8.5', 'wf-codec': '1.29.4', 'wf-codec-pandas': '1.0.1', 'wf-comms': '2.3.0', 'wf-configvars': '1.1.0', 'wf-ds-tools': '0.13.0', 'wf-env': '1.2.0', 'wf-memo':
'1.1.1', 'wf-mlmodels-delinquency': '0.0.0', 'wf-modelhub': '0.7.3', 'wf-modelhub-types': '0.7.0', 'wf-sync': '2.5.0', 'wheel': '0.42.0', 'widgetsnbextension':
'4.0.10', 'wrapt': '1.16.0', 'xgboost': '2.0.3', 'xmltodict': '0.13.0', 'xxhash': '3.4.1', 'yarl': '1.9.4', 'zenml': '0.58.0', 'zipp': '3.17.0', 'zstandard':
'0.22.0'}
CURRENT STACK
Name: Wayflyer DS
ID: 3876302e-0de4-439d-81b2-de954dc56eed
User: javier.lopezpena / fda958f2-f055-47c7-942c-9ff3977f610e
Workspace: default / ad453c60-e306-48a2-bb48-102098f0a3a9
ORCHESTRATOR: default
Name: default
ID: c79ec6fb-89f7-4d2b-b642-19f4d070820d
Type: orchestrator
Flavor: local
Configuration: {}
Workspace: default / ad453c60-e306-48a2-bb48-102098f0a3a9
ARTIFACT_STORE: s3
Name: s3
ID: e372107f-0349-4b93-9b47-5645339bcfb8
Type: artifact_store
Flavor: s3
Configuration: {'authentication_secret': None, 'path': 's3://wf-zenml/artifacts', 'key': '', 'secret': '', 'token': '********', 'client_kwargs':
None, 'config_kwargs': None, 's3_additional_kwargs': None}
User: dave.hall / da3bf4ff-c7e1-4f85-9bd5-b3f779e03954
Workspace: default / ad453c60-e306-48a2-bb48-102098f0a3a9
ALERTER: DS Alerter
Name: DS Alerter
ID: e7c058d4-96c5-4caa-8115-a7a998ec86a5
Type: alerter
Flavor: slack
Configuration: {'slack_token': '********', 'default_slack_channel_id': 'C064J8NMV8V'}
User: javier.lopezpena / fda958f2-f055-47c7-942c-9ff3977f610e
Workspace: default / ad453c60-e306-48a2-bb48-102098f0a3a9
What happened?
We recently updated our zenml OSS server to version 0.58.
Our stack works fine and we have been running our pipelines without issues. Yesterday I tried to make a copy of my active stack to play around with components, and I got this error when it tried to copy the alerter component (Slack Alerter, full stacktrace further below):
The slack alerter component is simple enough to set up again, so this is not a massive deal, but I thought you might want to know. I never tried to copy the stack before so I don't really know if this ever worked and was broken by the migration, or if it never worked.
Reproduction steps
No response
Relevant log output
Code of Conduct
The text was updated successfully, but these errors were encountered: