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Deploy Flask Machine Learning Application on Azure App Services

Makefile 20.39% Python 46.26% Shell 21.08% Dockerfile 12.27%

udacity northwestern oreilly-books northwestern-434

flask-ml-azure-serverless's Issues

Libraries Versions

Problems encountered while doing lab via Coursera:

Flask version 1.0.2 raises Jinja2 error.
ImportError: cannot import name 'Markup' from 'jinja2' (/home/coder/project/VENV/lib/python3.8/site-packages/jinja2/__init__.py)
Updating to version 2.2.2 resolves the issue.
Numpy installed by default is 1.24.1, which raises:
AttributeError: module 'numpy' has no attribute 'float'
on joblib.load(file_name) call.
Preinstalling numpy==1.23 resolves the issue.
prediction = list(clf.predict(scaled_payload)) on line 71 raises

raw_predictions = self.loss_.get_init_raw_predictions(
AttributeError: 'LeastSquaresError' object has no attribute 'get_init_raw_predictions'

Which can be resolved by downgrading scikit-learn to 0.20.3, but python3.8 + updated pip does not support installing it.

So, there is an open question about resolving it: use the latest versions and update the code (imports and logic would be different) or use previous Python versions.

ImportError: cannot import name 'Markup' from 'jinja2'

I'm all new to python, currently attending a course on machine learning.
I've followed your instructions "by-the-letter", but when I run python app.py
I get the following error message:

$ python app.py
Traceback (most recent call last):
  File "app.py", line 1, in <module>
    from flask import Flask, request, jsonify
  File "/home/testuser/.flask-ml-azure/lib/python3.8/site-packages/flask/__init__.py", line 19, in <module>
    from jinja2 import Markup, escape
ImportError: cannot import name 'Markup' from 'jinja2' (/home/testuser/.flask-ml-azure/lib/python3.8/site-packages/jinja2/__init__.py)

Environment:

$ pip freeze
astroid==2.4.2
click==8.1.3
Flask==1.0.2
isort==5.10.1
itsdangerous==2.1.2
Jinja2==3.1.2
joblib==1.2.0
lazy-object-proxy==1.4.3
MarkupSafe==2.1.1
mccabe==0.6.1
numpy==1.23.5
pandas==1.1.5
pkg_resources==0.0.0
pylint==2.6.2
python-dateutil==2.8.2
pytz==2022.6
scikit-learn==0.22.2
scipy==1.9.3
six==1.16.0
toml==0.10.2
Werkzeug==2.2.2
wrapt==1.14.1

Can you please help me getting your sample app up-and-running?

Thanks ;)

make_prediction.sh doesn't exist

The book & README.md asks us to run ./make_prediction.sh but I can't find it in the repo.

There is a file called make_predict.sh but running it locally (after app.py is running in another tab) results in a long html script being printed in the terminal which includes error messages such as " <title>AttributeError: 'LeastSquaresError' object has no attribute 'get_init_raw_predictions' // Werkzeug Debugger</title> ".

Just wondering if there's a missing file that got lost along the way? Thanks!

Update Lint command in Makefile

Probably it is intentionally left but pylint should be updated with W0702 otherwise build will failed during CI/CD.
pylint --disable=R,C,W1203,W0702 app.py

AttributeError: 'LeastSquaresError' object has no attribute 'get_init_raw_predictions'

I had some issues getting started with this repo, a hint on which python version to use would have been helpful.
FYI: when I first got started with this repo, I was using Python v3.8, which resulted in installation errors. After downgrading to Python v3.6.15, make install and python app.py run smoothly.

However, when executing ./make_predict.sh, I get the the following error message:

Traceback (most recent call last):
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 2309, in __call__
    return self.wsgi_app(environ, start_response)
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 2295, in wsgi_app
    response = self.handle_exception(e)
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 1741, in handle_exception
    reraise(exc_type, exc_value, tb)
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/_compat.py", line 35, in reraise
    raise value
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 2292, in wsgi_app
    response = self.full_dispatch_request()
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 1815, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 1718, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/_compat.py", line 35, in reraise
    raise value
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 1813, in full_dispatch_request
    rv = self.dispatch_request()
  File "/home/testuser/.py36/lib/python3.6/site-packages/flask/app.py", line 1799, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/home/testuser/xpand/flask-ml-azure-serverless/app.py", line 68, in predict
    prediction = list(clf.predict(scaled_payload))
  File "/home/testuser/.py36/lib/python3.6/site-packages/sklearn/ensemble/_gb.py", line 2569, in predict
    return self._raw_predict(X).ravel()
  File "/home/testuser/.py36/lib/python3.6/site-packages/sklearn/ensemble/_gb.py", line 1655, in _raw_predict
    raw_predictions = self._raw_predict_init(X)
  File "/home/testuser/.py36/lib/python3.6/site-packages/sklearn/ensemble/_gb.py", line 1649, in _raw_predict_init
    raw_predictions = self.loss_.get_init_raw_predictions(
AttributeError: 'LeastSquaresError' object has no attribute 'get_init_raw_predictions'

I assume, this is due to some version conflict between the serialized prediction model from boston_housing_prediction.joblib and the version of scikit-learn.

I'm using an umodified version of requirements.txt.

Output of $ pip freeze:

astroid==2.4.2
click==8.0.4
dataclasses==0.8
Flask==1.0.2
importlib-metadata==4.8.3
isort==5.10.1
itsdangerous==2.0.1
Jinja2==3.0.3
joblib==1.1.1
lazy-object-proxy==1.4.3
MarkupSafe==2.0.1
mccabe==0.6.1
numpy==1.19.5
pandas==1.1.5
pylint==2.6.2
python-dateutil==2.8.2
pytz==2022.6
scikit-learn==0.22.2
scipy==1.5.4
six==1.16.0
toml==0.10.2
typed-ast==1.4.3
typing_extensions==4.1.1
Werkzeug==2.0.3
wrapt==1.14.1
zipp==3.6.0

Can you please help me resolving this issue as I'm unable to continue my training without this...

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