Re: TypeError: 'module' object is not iterable - django 4

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On Monday, January 31, 2022 at 11:53:03 AM UTC+3 muwaga micheal wrote:

Hi 

Team,

 I am getting the above error, it has persisted long enough than at this point i really need help.

I am using pickle to load an ML model, POST to get user input. Below is the error, my urls.py file and the views.py file. 

Any Help will be highly appreciated.

******* Error Message *******

(python10_env) D:\Online Drives\MDigital\CIT-Letures\python10_env\smart_health_consult>python manage.py runserver
Watching for file changes with StatReloader
Performing system checks...

Exception in thread django-main-thread:
Traceback (most recent call last):
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\urls\resolvers.py", line 634, in url_patterns
    iter(patterns)
TypeError: 'module' object is not iterable

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\USER\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1009, in _bootstrap_inner
    self.run()
  File "C:\Users\USER\AppData\Local\Programs\Python\Python310\lib\threading.py", line 946, in run
    self._target(*self._args, **self._kwargs)
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\utils\autoreload.py", line 64, in wrapper
    fn(*args, **kwargs)
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\management\commands\runserver.py", line 124, in inner_run
    self.check(display_num_errors=True)
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\management\base.py", line 438, in check
    all_issues = checks.run_checks(
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\registry.py", line 77, in run_checks
    new_errors = check(app_configs=app_configs, databases=databases)
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\urls.py", line 40, in check_url_namespaces_unique
    all_namespaces = _load_all_namespaces(resolver)
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\urls.py", line 67, in _load_all_namespaces
    namespaces.extend(_load_all_namespaces(pattern, current))
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\urls.py", line 57, in _load_all_namespaces
    url_patterns = getattr(resolver, 'url_patterns', [])
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\utils\functional.py", line 48, in __get__
    res = instance.__dict__[self.name] = self.func(instance)
  File "D:\Online Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\urls\resolvers.py", line 642, in url_patterns
    raise ImproperlyConfigured(msg.format(name=self.urlconf_name)) from e
django.core.exceptions.ImproperlyConfigured: The included URLconf '<module 'ml_dp_model.urls' from 'D:\\Online Drives\\MDigital\\CIT-Letures\\python10_env\\smart_health_consult\\ml_dp_model\\urls.py'>' does not appear to have any patterns in it. If you see the 'urlpatterns' variable with valid patterns in the file then the issue is probably caused by a circular import.

******************************

****  urls.py  *****

from django.urls import path

from . import views

#from .views import index

#from .views import predict

urlpartterns = [

    path('', views.index, name='index'),    

    path('result.html', views.predict, name='predict')

   

]

******************

********* views.py *********

from django.shortcuts import render

# Testing if context can solve circular refference issue.

from django.template import context

# Model related imports

import pandas as pd #install pandas

import pickle

import numpy as np #  helps to manipulate the data

# Create your views here.

def index(request):

    return render(request, 'index.html')

# importing the models using pickle.

    #Loading Naive Bayes Pickle  Model load method 1

nb_pickle = open('./models_store/final_nb_model.pickel','rb+')

nb_model = pickle.load(nb_pickle)

    #Loading RandomForest Pickle Modal load method 1

rf_pickle = open('./models_store/final_rf_model.pickel', 'rb+')

rf_model = pickle.load(rf_pickle)

    #Loading Scala Vector Machine  Pickle  Model load method 2

svm_model = pickle.load(open('./models_store/final_svm_model.pickel', 'rb+'))

# Disease prediction Function:

def predict(request):

    if request.method=='POST':

        symptom_index = {}

        symptom_index['symptom1'] =float(request.POST.get('symptom1')) # Add data in string format to the dictionary

        symptom_index['symptom2'] =float(request.POST.get('symptom2'))

        symptom_index['symptom3'] =float(request.POST.get('symptom3'))

        user_symptoms = pd.DataFrame({'X':symptom_index}).transpose() #think about changing dictionary to list at this line.

        # Using pickle model() to predict

        nb_prediction = nb_model.predict(user_symptoms)[0]

        rf_prediction = rf_model.predict(user_symptoms)[0]

        svm_prediction = svm_model.predict(user_symptoms)[0]

               

        '''

        Making final prediction by taking mode of all predicitions

        '''

        final_prediction = np.mode([rf_prediction, nb_prediction, svm_prediction])

       

        predicted  =  final_prediction

    return render(request,'result.html',{'results':predicted} )

****************************

 Am running python 3.10  and Django 4.0

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