[BUG]: Pydantic model generation issues.

[icichainz]

pycaret version checks

• I have checked that this issue has not already been reported here.

• I have confirmed this bug exists on the latest version of pycaret.

• I have confirmed this bug exists on the master branch of pycaret (pip install -U git+https://github.com/pycaret/pycaret.git@master).

Issue Description

When use create_api function , the generate code contains non annottated attributes . Thus pydentic is unable to perform the right validations thus rendering the generated api unable to work.

Reproducible Example

<script src="https://gist.github.com/icichainz/0a6d5040db1a465f39264e07bea874af.js"></script>

Expected Behavior

When using create_api , i expect a working api , generated with fastapi and pydantic.

Actual Results

/home/huncho/MLProjects/bc_pycart_fastapi/.venv/bin/python /home/huncho/MLProjects/bc_pycart_fastapi/diabetes_api.py
Transformation Pipeline and Model Successfully Loaded
Traceback (most recent call last):
  File "/home/huncho/MLProjects/bc_pycart_fastapi/diabetes_api.py", line 16, in <module>
    input_model = create_model(
  File "/home/huncho/MLProjects/bc_pycart_fastapi/.venv/lib/python3.10/site-packages/pydantic/main.py", line 1490, in create_model
    return meta(
  File "/home/huncho/MLProjects/bc_pycart_fastapi/.venv/lib/python3.10/site-packages/pydantic/_internal/_model_construction.py", line 92, in __new__
    private_attributes = inspect_namespace(
  File "/home/huncho/MLProjects/bc_pycart_fastapi/.venv/lib/python3.10/site-packages/pydantic/_internal/_model_construction.py", line 384, in inspect_namespace
    raise PydanticUserError(
pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `Plasma glucose concentration a 2 hours in an oral glucose tolerance test = 152.0`. All model fields require a type annotation; if `Plasma glucose concentration a 2 hours in an oral glucose tolerance test` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating `model_config['ignored_types']`.

For further information visit https://errors.pydantic.dev/2.6/u/model-field-missing-annotation
(.venv) huncho@DESKTOP-1T270KV:~/MLProjects/bc_pycart_fastapi$ /home/huncho/MLProjects/bc_pycart_fastapi/.venv/bin/python /home/huncho/MLProjects/bc_pycart_fastapi/diabetes_api.py
Transformation Pipeline and Model Successfully Loaded
Traceback (most recent call last):
  File "/home/huncho/MLProjects/bc_pycart_fastapi/diabetes_api.py", line 16, in <module>
    input_model = create_model("diabetes_api_input", **{'Number of times pregnant': 13.0, 'Plasma glucose concentration a 2 hours in an oral glucose tolerance test': 152.0, 'Diastolic blood pressure (mm Hg)': 90.0, 'Triceps skin fold thickness (mm)': 33.0, '2-Hour serum insulin (mu U/ml)': 29.0, 'Body mass index (weight in kg/(height in m)^2)': 26.799999237060547, 'Diabetes pedigree function': 0.7310000061988831, 'Age (years)': 43.0})
  File "/home/huncho/MLProjects/bc_pycart_fastapi/.venv/lib/python3.10/site-packages/pydantic/main.py", line 1490, in create_model
    return meta(
  File "/home/huncho/MLProjects/bc_pycart_fastapi/.venv/lib/python3.10/site-packages/pydantic/_internal/_model_construction.py", line 92, in __new__
    private_attributes = inspect_namespace(
  File "/home/huncho/MLProjects/bc_pycart_fastapi/.venv/lib/python3.10/site-packages/pydantic/_internal/_model_construction.py", line 384, in inspect_namespace
    raise PydanticUserError(
pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `Number of times pregnant = 13.0`. All model fields require a type annotation; if `Number of times pregnant` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating `model_config['ignored_types']`.

For further information visit https://errors.pydantic.dev/2.6/u/model-field-missing-annotation

Installed Versions

System:
python: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
executable: /home/huncho/MLProjects/bc_pycart_fastapi/.venv/bin/python
machine: Linux-5.15.146.1-microsoft-standard-WSL2-x86_64-with-glibc2.35

PyCaret required dependencies:
pip: 22.0.2
setuptools: 59.6.0
pycaret: 3.3.0
IPython: 8.22.2
ipywidgets: 8.1.2
tqdm: 4.66.2
numpy: 1.26.4
pandas: 2.1.4
jinja2: 3.1.3
scipy: 1.11.4
joblib: 1.3.2
sklearn: 1.4.1.post1
pyod: 1.1.3
imblearn: 0.12.0
category_encoders: 2.6.3
lightgbm: 4.3.0
numba: 0.59.0
requests: 2.31.0
matplotlib: 3.7.5
scikitplot: 0.3.7
yellowbrick: 1.5
plotly: 5.20.0
plotly-resampler: Not installed
kaleido: 0.2.1
schemdraw: 0.15
statsmodels: 0.14.1
sktime: 0.27.0
tbats: 1.1.3
pmdarima: 2.0.4
psutil: 5.9.8
markupsafe: 2.1.5
pickle5: Not installed
cloudpickle: 3.0.0
deprecation: 2.1.0
xxhash: 3.4.1
wurlitzer: 3.0.3

PyCaret optional dependencies:
shap: Not installed
interpret: Not installed
umap: Not installed
ydata_profiling: Not installed
explainerdashboard: Not installed
autoviz: Not installed
fairlearn: Not installed
deepchecks: Not installed
xgboost: Not installed
catboost: Not installed
kmodes: Not installed
mlxtend: Not installed
statsforecast: Not installed
tune_sklearn: Not installed
ray: Not installed
hyperopt: Not installed
optuna: Not installed
skopt: Not installed
mlflow: Not installed
gradio: Not installed
fastapi: 0.110.0
uvicorn: 0.28.0
m2cgen: Not installed
evidently: Not installed
fugue: Not installed
streamlit: Not installed
prophet: Not installed

[celestinoxp]

pydantic is not a direct dependency on pycaret. Try manually installing an older version of pydantic. If you can, please tell me which version worked, so I can propose that Pycaret itself does version control in the dependency list.

[icichainz]

Ok , i will check that and get back to you soon .

[JuanBaldemarG]

what version of pydantic requires pycaret... i have the same problem