[GSK-1384] Fix internal worker exception due to artifact logging #1212

Inokinoki · 2023-06-29T10:35:05Z

Description

In an internal worker, log the artifacts in the local Giskard home. Server is able to locate them and provides them to the frontend.

Although this is not a common case in Giskard 2.0 anymore, because only external workers can run models and log the artifacts. However, this fixes the inspections of some inherited projects from the previous version, with mlWorkerType == MLWorkerType.INTERNAL.

In the frontend, the dataset.categoryFeature could be null for some reasons. A simple check is also performed before using it in Inspector.

Related Issue

Type of Change

📚 Examples / docs / tutorials / dependencies update
🔧 Bug fix (non-breaking change which fixes an issue)
🥂 Improvement (non-breaking change which improves an existing feature)
🚀 New feature (non-breaking change which adds functionality)
💥 Breaking change (fix or feature that would cause existing functionality to change)
🔐 Security fix

Checklist

I've read the CODE_OF_CONDUCT.md document.
I've read the CONTRIBUTING.md guide.
I've updated the code style using make codestyle.
I've written tests for all new methods and classes that I created.
I've written the docstring in Google format for all the methods and classes that I used.

github-actions · 2023-06-29T10:35:40Z

Please add the 'safe for build' label in order to perform the sonar analysis!

Inokinoki · 2023-06-29T10:35:42Z

Do not hesitate if there is any suggestions, in both code and codestyle.

linear · 2023-06-30T08:59:40Z

GSK-1384 Internal worker exception during model inspection

Issue Type

Bug

Source

source

Giskard Library Version

2.0.0b10

Giskard Server Version

2.0.0b10

OS Platform and Distribution

macOS 13.4.1

Python version

3.9.6

Installed python packages

absl-py==1.4.0
aiohttp==3.8.4
aiosignal==1.3.1
alabaster==0.7.13
anyascii==0.3.2
anyio==3.7.0
appnope==0.1.3
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
arrow==1.2.3
astroid==2.15.5
asttokens==2.2.1
astunparse==1.6.3
async-lru==2.0.2
async-timeout==4.0.2
attrs==23.1.0
Babel==2.12.1
backcall==0.2.0
bandit==1.7.5
beautifulsoup4==4.12.2
bert-score==0.3.13
black==23.3.0
bleach==6.0.0
blinker==1.6.2
CacheControl==0.13.1
cachetools==5.3.1
catboost==1.2
certifi==2023.5.7
cffi==1.15.1
cfgv==3.3.1
chardet==5.1.0
charset-normalizer==3.1.0
click==8.1.3
cloudpickle==2.2.1
colorama==0.4.6
comm==0.1.3
contourpy==1.1.0
coverage==7.2.7
cycler==0.11.0
darglint==1.8.1
databricks-cli==0.17.7
dataclasses-json==0.5.8
datasets==2.13.0
debugpy==1.6.7
decorator==5.1.1
defusedxml==0.7.1
deptry==0.11.0
dill==0.3.6
distlib==0.3.6
docker==6.1.3
docutils==0.18.1
dparse==0.6.2
eli5==0.13.0
entrypoints==0.4
evaluate==0.4.0
exceptiongroup==1.1.1
execnet==1.9.0
executing==1.2.0
fastjsonschema==2.17.1
filelock==3.12.2
findpython==0.2.5
flatbuffers==1.12
fonttools==4.40.0
fqdn==1.5.1
frozenlist==1.3.3
fsspec==2023.6.0
furo==2023.5.20
gast==0.4.0
giskard==2.0.0b10
gitdb==4.0.10
GitPython==3.1.31
google-auth==2.20.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
googleapis-common-protos==1.59.1
graphviz==0.20.1
grpcio==1.51.1
grpcio-status==1.48.2
grpcio-tools==1.48.2
h5py==3.8.0
httpretty==1.1.4
huggingface-hub==0.15.1
identify==2.5.24
idna==3.4
imagesize==1.4.1
imbalanced-learn==0.10.1
importlib-metadata==6.6.0
importlib-resources==5.12.0
iniconfig==2.0.0
installer==0.7.0
ipykernel==6.23.2
ipython==8.12.2
ipython-genutils==0.2.0
ipywidgets==8.0.6
isoduration==20.11.0
isort==5.12.0
jedi==0.18.2
Jinja2==3.1.2
joblib==1.2.0
json5==0.9.14
jsonpointer==2.4
jsonschema==4.17.3
jupyter==1.0.0
jupyter_client==8.2.0
jupyter-console==6.6.3
jupyter_core==5.3.1
jupyter-events==0.6.3
jupyter-lsp==2.2.0
jupyter_server==2.6.0
jupyter_server_terminals==0.4.4
jupyterlab==4.0.2
jupyterlab-pygments==0.2.2
jupyterlab_server==2.23.0
jupyterlab-widgets==3.0.7
keras==2.9.0
Keras-Preprocessing==1.1.2
kiwisolver==1.4.4
langchain==0.0.202
langchainplus-sdk==0.0.10
langdetect==1.0.9
lazy-object-proxy==1.9.0
libclang==16.0.0
lightgbm==3.3.5
livereload==2.6.3
llvmlite==0.40.1rc1
lockfile==0.12.2
Markdown==3.4.3
markdown-it-py==3.0.0
MarkupSafe==2.1.3
marshmallow==3.19.0
marshmallow-enum==1.5.1
matplotlib==3.7.1
matplotlib-inline==0.1.6
mccabe==0.7.0
mdit-py-plugins==0.4.0
mdurl==0.1.2
mistune==2.0.5
mixpanel==4.10.0
mlflow-skinny==2.4.1
mpmath==1.3.0
msgpack==1.0.5
multidict==6.0.4
multiprocess==0.70.14
mypy==1.3.0
mypy-extensions==1.0.0
mypy-protobuf==3.3.0
myst-parser==2.0.0
nbclassic==1.0.0
nbclient==0.8.0
nbconvert==7.5.0
nbformat==5.9.0
nbsphinx==0.9.2
nest-asyncio==1.5.6
networkx==3.1
nltk==3.8.1
nodeenv==1.8.0
notebook==6.5.4
notebook_shim==0.2.3
numba==0.57.0
numexpr==2.8.4
numpy==1.23.5
oauthlib==3.2.2
openapi-schema-pydantic==1.2.4
opt-einsum==3.3.0
overrides==7.3.1
packaging==23.1
pandas==1.5.3
pandocfilters==1.5.0
parso==0.8.3
pathspec==0.11.1
pbr==5.11.1
pdm==2.7.2
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.5.0
pip==23.1.2
platformdirs==3.5.3
plotly==5.15.0
pluggy==1.0.0
pockets==0.9.1
portalocker==2.7.0
pre-commit==3.3.3
prometheus-client==0.17.0
prompt-toolkit==3.0.38
protobuf==3.19.6
psutil==5.9.5
ptyprocess==0.7.0
pure-eval==0.2.2
pyarrow==12.0.1
pyasn1==0.5.0
pyasn1-modules==0.3.0
pycparser==2.21
pycryptodome==3.18.0
pydantic==1.10.9
pydocstyle==6.3.0
Pygments==2.15.1
PyJWT==2.7.0
pylint==2.17.4
pyngrok==6.0.0
pyparsing==3.0.9
pyproject_hooks==1.0.0
pyrsistent==0.19.3
pytest==7.3.2
pytest-cov==4.1.0
pytest-xdist==3.3.1
python-daemon==2.3.2
python-dateutil==2.8.2
python-dotenv==1.0.0
python-json-logger==2.0.7
pytz==2023.3
pyupgrade==3.6.0
PyYAML==6.0
pyzmq==25.1.0
qtconsole==5.4.3
QtPy==2.3.1
regex==2023.6.3
requests==2.31.0
requests-mock==1.11.0
requests-oauthlib==1.3.1
requests-toolbelt==1.0.0
resolvelib==1.0.1
responses==0.18.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.4.2
rsa==4.9
ruamel.yaml==0.17.32
ruamel.yaml.clib==0.2.7
ruff==0.0.272
safety==2.3.4
scikit-learn==1.0.2
scipy==1.8.1
Send2Trash==1.8.2
setuptools==67.8.0
shap==0.41.0
shellingham==1.5.0.post1
six==1.16.0
slicer==0.0.7
smmap==5.0.0
sniffio==1.3.0
snowballstemmer==2.2.0
soupsieve==2.4.1
Sphinx==6.2.1
sphinx-autoapi==2.1.1
sphinx-autobuild==2021.3.14
sphinx-basic-ng==1.0.0b1
sphinx-click==4.4.0
sphinx-copybutton==0.5.2
sphinx_design==0.4.1
sphinx-rtd-theme==1.2.2
sphinx-tabs==3.4.1
sphinxcontrib-applehelp==1.0.4
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp==2.0.1
sphinxcontrib-jquery==4.1
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-napoleon==0.7
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml==1.1.5
SQLAlchemy==2.0.16
sqlparse==0.4.4
stack-data==0.6.2
stevedore==5.1.0
sympy==1.12
tabulate==0.9.0
tenacity==8.2.2
tensorboard==2.9.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-estimator==2.9.0
tensorflow-hub==0.13.0
tensorflow-macos==2.9.2
termcolor==2.3.0
terminado==0.17.1
threadpoolctl==3.1.0
tinycss2==1.2.1
tokenize-rt==5.1.0
tokenizers==0.13.3
toml==0.10.2
tomli==2.0.1
tomlkit==0.11.8
torch==2.0.1
torchdata==0.6.1
torchtext==0.15.2
tornado==6.3.2
tqdm==4.65.0
traitlets==5.9.0
transformers==4.29.2
types-protobuf==4.23.0.1
typing_extensions==4.6.3
typing-inspect==0.9.0
unearth==0.9.1
uri-template==1.2.0
urllib3==1.26.16
virtualenv==20.23.1
wcwidth==0.2.6
webcolors==1.13
webencodings==0.5.1
websocket-client==1.6.0
Werkzeug==2.3.6
wheel==0.40.0
widgetsnbextension==4.0.7
wrapt==1.15.0
xgboost==1.7.5
xxhash==3.2.0
yarl==1.9.2
zipp==3.15.0
zstandard==0.21.0

Current Behaviour?

A bug happened when inspecting/debugging a model:

'NoneType' object has no attribute 'client'
AttributeError
Traceback (most recent call last):
  File "/Users/***/Builds/giskard/python-client/giskard/ml_worker/utils/request_interceptor.py", line 50, in wrapper
    res = await loop.run_in_executor(pool, behavior, request, context)
  File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/concurrent/futures/thread.py", line 52, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/Users/***/Builds/giskard/python-client/giskard/ml_worker/server/ml_worker_service.py", line 432, in runModel
    self.ml_worker.tunnel.client.log_artifact(
AttributeError: 'NoneType' object has no attribute 'client'



### Standalone code OR list down the steps to reproduce the issue

```shell
Worker related issue:
1. Create a project that would be run by the internal worker (`mlWorkerType == MLWorkerType.INTERNAL`).
2. Upload the models and the datasets.
3. Inspect/Debug a dataset on a model.
4. Get an exception from the internal worker.

Relevant log output

2023-06-30 10:19:49,283 pid:2142 MainThread giskard.commands.cli_worker INFO     Starting ML Worker server
2023-06-30 10:19:49,283 pid:2142 MainThread giskard.commands.cli_worker INFO     Python: /Users/***/Builds/giskard/python-client/.venv/bin/python3.9 (3.9.6)
2023-06-30 10:19:49,283 pid:2142 MainThread giskard.commands.cli_worker INFO     Giskard Home: /Users/***/giskard-home
2023-06-30 10:19:54,135 pid:2142 MainThread giskard.ml_worker.ml_worker INFO     Started ML Worker server on localhost:50051
2023-06-30 10:21:52,661 pid:2142 ml_worker_thread_0 giskard.ml_worker.server.ml_worker_service INFO     Collecting ML Worker info
2023-06-30 10:22:14,166 pid:2142 ml_worker_thread_0 giskard.ml_worker.server.ml_worker_service INFO     Collecting ML Worker info
2023-06-30 10:24:39,087 pid:2142 ml_worker_thread_0 giskard.datasets.base INFO     Casting dataframe columns from {'account_check_status': 'object', 'duration_in_month': 'int64', 'credit_history': 'object', 'purpose': 'object', 'credit_amount': 'int64', 'savings': 'object', 'present_employment_since': 'object', 'installment_as_income_perc': 'int64', 'sex': 'object', 'personal_status': 'object', 'other_debtors': 'object', 'present_residence_since': 'int64', 'property': 'object', 'age': 'int64', 'other_installment_plans': 'object', 'housing': 'object', 'credits_this_bank': 'int64', 'job': 'object', 'people_under_maintenance': 'int64', 'telephone': 'object', 'foreign_worker': 'object', 'default': 'object'} to {'account_check_status': 'object', 'age': 'int64', 'credit_amount': 'int64', 'credit_history': 'object', 'credits_this_bank': 'int64', 'default': 'object', 'duration_in_month': 'int64', 'foreign_worker': 'object', 'housing': 'object', 'installment_as_income_perc': 'int64', 'job': 'object', 'other_debtors': 'object', 'other_installment_plans': 'object', 'people_under_maintenance': 'int64', 'personal_status': 'object', 'present_employment_since': 'object', 'present_residence_since': 'int64', 'property': 'object', 'purpose': 'object', 'savings': 'object', 'sex': 'object', 'telephone': 'object'}
Feature 'people_under_maintenance' is declared as 'numeric' but has 2 (<= category_threshold=2) distinct values. Are you sure it is not a 'category' feature?
2023-06-30 10:24:39,422 pid:2142 ml_worker_thread_0 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:24:39,432 pid:2142 ml_worker_thread_0 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:27:19,831 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Casting dataframe columns from {'account_check_status': 'object', 'duration_in_month': 'int64', 'credit_history': 'object', 'purpose': 'object', 'credit_amount': 'int64', 'savings': 'object', 'present_employment_since': 'object', 'installment_as_income_perc': 'int64', 'sex': 'object', 'personal_status': 'object', 'other_debtors': 'object', 'present_residence_since': 'int64', 'property': 'object', 'age': 'int64', 'other_installment_plans': 'object', 'housing': 'object', 'credits_this_bank': 'int64', 'job': 'object', 'people_under_maintenance': 'int64', 'telephone': 'object', 'foreign_worker': 'object', 'default': 'object'} to {'account_check_status': 'object', 'age': 'int64', 'credit_amount': 'int64', 'credit_history': 'object', 'credits_this_bank': 'int64', 'default': 'object', 'duration_in_month': 'int64', 'foreign_worker': 'object', 'housing': 'object', 'installment_as_income_perc': 'int64', 'job': 'object', 'other_debtors': 'object', 'other_installment_plans': 'object', 'people_under_maintenance': 'int64', 'personal_status': 'object', 'present_employment_since': 'object', 'present_residence_since': 'int64', 'property': 'object', 'purpose': 'object', 'savings': 'object', 'sex': 'object', 'telephone': 'object'}
Feature 'people_under_maintenance' is declared as 'numeric' but has 2 (<= category_threshold=2) distinct values. Are you sure it is not a 'category' feature?
2023-06-30 10:27:19,997 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:27:19,999 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:29:55,958 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Casting dataframe columns from {'account_check_status': 'object', 'duration_in_month': 'int64', 'credit_history': 'object', 'purpose': 'object', 'credit_amount': 'int64', 'savings': 'object', 'present_employment_since': 'object', 'installment_as_income_perc': 'int64', 'sex': 'object', 'personal_status': 'object', 'other_debtors': 'object', 'present_residence_since': 'int64', 'property': 'object', 'age': 'int64', 'other_installment_plans': 'object', 'housing': 'object', 'credits_this_bank': 'int64', 'job': 'object', 'people_under_maintenance': 'int64', 'telephone': 'object', 'foreign_worker': 'object', 'default': 'object'} to {'account_check_status': 'object', 'age': 'int64', 'credit_amount': 'int64', 'credit_history': 'object', 'credits_this_bank': 'int64', 'default': 'object', 'duration_in_month': 'int64', 'foreign_worker': 'object', 'housing': 'object', 'installment_as_income_perc': 'int64', 'job': 'object', 'other_debtors': 'object', 'other_installment_plans': 'object', 'people_under_maintenance': 'int64', 'personal_status': 'object', 'present_employment_since': 'object', 'present_residence_since': 'int64', 'property': 'object', 'purpose': 'object', 'savings': 'object', 'sex': 'object', 'telephone': 'object'}
Feature 'people_under_maintenance' is declared as 'numeric' but has 2 (<= category_threshold=2) distinct values. Are you sure it is not a 'category' feature?
2023-06-30 10:29:56,057 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:29:56,119 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:29:56,122 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Your 'pandas.DataFrame' is successfully wrapped by Giskard's 'Dataset' wrapper class.
2023-06-30 10:29:56,127 pid:2142 ml_worker_thread_1 giskard.datasets.base INFO     Casting dataframe columns from {'account_check_status': 'object', 'duration_in_month': 'int64', 'credit_history': 'object', 'purpose': 'object', 'credit_amount': 'int64', 'savings': 'object', 'present_employment_since': 'object', 'installment_as_income_perc': 'int64', 'sex': 'object', 'personal_status': 'object', 'other_debtors': 'object', 'present_residence_since': 'int64', 'property': 'object', 'age': 'int64', 'other_installment_plans': 'object', 'housing': 'object', 'credits_this_bank': 'int64', 'job': 'object', 'people_under_maintenance': 'int64', 'telephone': 'object', 'foreign_worker': 'object'} to {'account_check_status': 'object', 'duration_in_month': 'int64', 'credit_history': 'object', 'purpose': 'object', 'credit_amount': 'int64', 'savings': 'object', 'present_employment_since': 'object', 'installment_as_income_perc': 'int64', 'sex': 'object', 'personal_status': 'object', 'other_debtors': 'object', 'present_residence_since': 'int64', 'property': 'object', 'age': 'int64', 'other_installment_plans': 'object', 'housing': 'object', 'credits_this_bank': 'int64', 'job': 'object', 'people_under_maintenance': 'int64', 'telephone': 'object', 'foreign_worker': 'object'}
2023-06-30 10:29:56,131 pid:2142 ml_worker_thread_1 giskard.ml_worker.utils.logging INFO     Predicted dataset with shape (200, 22) executed in 0:00:00.072331
2023-06-30 10:29:56,169 pid:2142 MainThread giskard.ml_worker.utils.request_interceptor ERROR    'NoneType' object has no attribute 'client'
Traceback (most recent call last):
  File "/Users/***/Builds/giskard/python-client/giskard/ml_worker/utils/request_interceptor.py", line 50, in wrapper
    res = await loop.run_in_executor(pool, behavior, request, context)
  File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/concurrent/futures/thread.py", line 52, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/Users/***/Builds/giskard/python-client/giskard/ml_worker/server/ml_worker_service.py", line 432, in runModel
    self.ml_worker.tunnel.client.log_artifact(
AttributeError: 'NoneType' object has no attribute 'client'

Inokinoki · 2023-06-30T09:00:28Z

Fix #1214, and have a partial workaround for #1215
Still need to investigate the origin of null in #1215

Inokinoki · 2023-06-30T13:05:41Z

Fix #1214, and have a partial workaround for #1215 Still need to investigate the origin of null in #1215

Fix DB migration problem from DB connection.

sonarqubecloud · 2023-06-30T14:02:49Z

Kudos, SonarCloud Quality Gate passed!

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

0.0% Coverage
0.0% Duplication

Inokinoki added 7 commits June 27, 2023 16:38

Attempt to log artifact locally in inner worker

937f1ff

Merge branch 'main' into fix/deprecated-internal-worker-exception

181c20a

Merge branch 'main' into fix/deprecated-internal-worker-exception

59b312b

Fix inspector when dataset.categoryFeature is null

10922b2

Merge branch 'main' into fix/deprecated-internal-worker-exception

a5d3d26

Merge branch 'main' into fix/deprecated-internal-worker-exception

b0a9300

Update comments for local artifact logging

bd9aa5a

Inokinoki requested a review from andreybavt June 29, 2023 10:35

kevinmessiaen added the safe for build label Jun 30, 2023

Inokinoki changed the title ~~Fix internal worker exception due to artifact logging~~ [GSK-1384] Fix internal worker exception due to artifact logging Jun 30, 2023

Merge branch 'main' into fix/deprecated-internal-worker-exception

cd9fdcb

Inokinoki added feature bug Something isn't working and removed feature labels Jun 30, 2023

Add a comment for null due to DB migration failure

00d2e1c

andreybavt approved these changes Jul 3, 2023

View reviewed changes

andreybavt merged commit d7c2da1 into main Jul 3, 2023

This was referenced Jul 4, 2023

[GSK-1384] Internal worker exception during model inspection #1214

Closed

[GSK-1385] Inpsection/Debug results not showing due to missed categoryFeatures #1215

Closed

Hartorn deleted the fix/deprecated-internal-worker-exception branch September 13, 2023 11:33

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[GSK-1384] Fix internal worker exception due to artifact logging #1212

[GSK-1384] Fix internal worker exception due to artifact logging #1212

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Inokinoki commented Jun 29, 2023 •

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Issue Type

Source

Giskard Library Version

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Python version

Installed python packages

Current Behaviour?

Relevant log output

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Inokinoki commented Jun 30, 2023 •

edited

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[GSK-1384] Fix internal worker exception due to artifact logging #1212

[GSK-1384] Fix internal worker exception due to artifact logging #1212

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Inokinoki commented Jun 29, 2023 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Description

Related Issue

Type of Change

Checklist

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github-actions bot commented Jun 29, 2023

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Inokinoki commented Jun 29, 2023

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linear bot commented Jun 30, 2023

Issue Type

Source

Giskard Library Version

Giskard Server Version

OS Platform and Distribution

Python version

Installed python packages

Current Behaviour?

Relevant log output

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Inokinoki commented Jun 30, 2023 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Inokinoki commented Jun 30, 2023

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sonarqubecloud bot commented Jun 30, 2023

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Development

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4 participants

Inokinoki commented Jun 29, 2023 •

edited

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Inokinoki commented Jun 30, 2023 •

edited

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