We Keep Coding

I keep getting this error: "jinja2.exceptions.TemplateNotFound: index.html"

i tried to save index.html file in template folder but still it does work. any help would be highly appreciated. here is my code: am using sypder.
#importing neccessary libs
import numpy as np
from flask import Flask,request,render_template
from flask_cors import CORS
import os
import joblib
import pickle
import flask
import newspaper
from newspaper import Article
import urllib
import nltk
nltk.download('punkt')
#loading flash and assigning the model variable
app= Flask(__name__)
CORS(app)
app=flask.Flask(__name__,template_folder='templates')
#handle
with open('model.pk1','rb') as handle:
model= pickle.load(handle)
#app.route('/')
def main():
return render_template('templates/index.html')
#receiving the input url from the user and using web scrapping to
extract th news content
#app.route('/predict',methods=['GET','POST'])
def predict():
url=request.get_data(as_text=True)[5:]
url=urllib.parse.unquote(url)
article=Article(str(url))
article.download()
article.parse()
article.nlp()
news=article.summary
#passing the news article to the model and returning whether it
is Fake or Real
pred=model.predict([news])
return render_template('index.html', prediction_text='The news
is "{}"'.format(pred[0]))
if __name__=="__main__":
port=int(os.environ.get('PORT',5000))
app.run(port=port,debug=True, use_reloader=False)

I'm not sure how is your project structure, but there could be two possible reasons:
This can be changed:
app= Flask(__name__)
CORS(app)
app=flask.Flask(__name__,template_folder='templates')
into:
app= Flask(__name__, template_folder='templates')
CORS(app)
And since you defend the template folder as templates, return render_template('templates/index.html') should change to return render_template('index.html').
Otherwise you're rendering templates/templates/index.html.
Another reason could be the path.
Since it is relative path, do think if it can be ../templates or ../../templates.

Calling method from Flask Blueprint

I am trying to call a get method from my main.py from another python file and I am using flask and blueprints.
I have 2 files: main.py and product.py.
Based on the documentation, I thought after we have done an import, we can then call the method.
In my product.py
import os
from flask import Blueprint, Flask, render_template, request, jsonify
import stripe
import json
import ast
product = Blueprint('product',__name__)
#product.route('/getallproducts', methods=['GET'])
def get_products ():
myList = ["price_1GqLlRFswqvdSoNHi27H2wLV","price_1GqLiAFswqvdSoNHjv4R6scY","price_1GqY8eFswqvdSoNHVSRzEQdn","price_1GqYAcFswqvdSoNH1uReU4kN"]
result =[]
for i in myList:
priceobj = stripe.Price.retrieve(i)
product= stripe.Product.retrieve(priceobj.product)
data = product
data["price"] = priceobj.unit_amount/100
data["priceid"] =i
result.append(data)
return result
In my main.py i have
import os
from flask import Blueprint, Flask, render_template, request, jsonify
import stripe
import json
import ast
from product import product
stripe.api_key = stripe_keys['secret_key']
app=Flask(__name__,template_folder='../client', static_url_path='', static_folder='../client')
app.register_blueprint(product)
#app.route('/', methods=['GET'])
def main():
result =product.get_products()
return render_template('index.html', data=result)
I tried to do product.get_products() but it complained that no such methods exist.
Is there something which I am missing out on as I thought this was the way we can use blueprints?

You're likely getting the invalid method because you're not importing the function get_products() but a variable from your file that uses it. Try changing the import line in your main.py to from product import product, get_products.

Ideally get_products should be a separate method somewhere instead of calling the Flask route method, in this case, you could start off with product.py itself.
def get_all_products():
myList = ["price_1GqLlRFswqvdSoNHi27H2wLV","price_1GqLiAFswqvdSoNHjv4R6scY","price_1GqY8eFswqvdSoNHVSRzEQdn","price_1GqYAcFswqvdSoNH1uReU4kN"]
result =[]
for i in myList:
priceobj = stripe.Price.retrieve(i)
product= stripe.Product.retrieve(priceobj.product)
data = product
data["price"] = priceobj.unit_amount/100
data["priceid"] =i
result.append(data)
and you could simply refer to this method from wherever you need to get all the products.
P.S: Leandro's answer works perfectly if you don't want to follow this method

Retrieving Params from GET request to fetch the value. (PostMan)

From postman, I'm trying to send a GET request with params as Key:
path, Value: home/guest/images/abc.jpeg
I want to retrieve the same and use the Value as the argument of my function.
Somehow I'm unable to get the same, API not being called. Any input shall be helpful.
I'm new to writing REST APIs using Flask Python. I want to get the Value of the Params key: path as the TEST_PATH so that the rest of the code run as it should return the JSONP_data
from flask import Flask
from flask_cors import CORS
import pandas as pd
import datetime
import numpy as np
from flask import jsonify
import json
from pymongo import MongoClient
# set the project root directory as the static folder, you can set others.
app = Flask(__name__)
CORS(app)
counter=0
#app.route('/')
def api_root():
return ('Welcome')
#app.route('/generateTags/<id>', methods=['GET'])
def generateTags1(id):
file = json.loads(create_task(id))
TEST_PATH = file['path']
print(TEST_PATH)
import DenseNet
import Inception
import ResNet
import SqueezNet
from imageai.Prediction import ImagePrediction
prediction = ImagePrediction()
# TEST_PATH = '/home/anit/Documents/Image Analysis/ImageAI-master/Dataset'
dense_list=DenseNet.tag(TEST_PATH, DenseNet.prediction)
dense_list = ['DenseNet'] + dense_list.tolist()[0]
res_list=ResNet.tag(TEST_PATH, ResNet.prediction)
res_list = ['ResNet'] + res_list.tolist()[0]
incept_list=Inception.tag(TEST_PATH, Inception.prediction)
incept_list = ['Inception'] + incept_list.tolist()[0]
squeez_list=SqueezNet.tag(TEST_PATH, SqueezNet.prediction)
squeez_list = ['SqueezNet'] + squeez_list.tolist()[0]
d = {'filename':dense_list[1], 'models':{}}
for l in [dense_list,res_list, incept_list, squeez_list]:
#breakpoint()
d['models'][l[0]] = l[2:]
JSONP_data = jsonify(d)
return JSONP_data
if __name__ == '__main__':
app.run ()

Parse result into JSON using Python and Flask

Now, I managed to successfully pull basic information from my smart device onto the terminal using pyHS100 on python (v3.6) using the following code
from pyHS100 import SmartPlug
from pprint import pformat as pf
plug = SmartPlug("10.xxx.xxx.xxx")
print("Hardware: %s" % pf(plug.hw_info))
which results in the following:
but I can't parse the data into json format and display it on the local server for my RESTful API purpose if I done it this way:
from flask import Flask, jsonify
from flask_restful import Resource, Api
from pyHS100 import SmartPlug
app = Flask(__name__)
#app.route('/api')
def get():
plug = SmartPlug("10.xxx.xxx.xxx")
sys = plug.hw_info
return jsonify({'data':sys})
if __name__ == '__main__':
app.run(host='0.0.0.0')
app.run(debug=True)
All I need is for the information to be presented into something like this:
What did I do wrong and how do I this fix? Thanks

I believe the best way to solving this is by using json.dumps

Getting null from flask request python

I am writing a simple flask application where based on my query, I should get the required answer in the desired format.
The code is as below;
#-*- coding: utf-8 -*-
import StringIO
import os
import pandas as pd
import numpy as np
from flask import Flask, request, Response, abort, jsonify, send_from_directory,make_response
import io
from pandas import DataFrame
import urllib2, json
import requests
from flask import session
import sys
reload(sys)
sys.setdefaultencoding("ISO-8859-1")
app = Flask(__name__)
#app.route("/api/conversation/", methods=['POST'])
def chatbot():
df = pd.DataFrame(json.load(urllib2.urlopen('http://192.168.21.245/sixthsensedata/server/Test_new.json')))
question = request.form.get('question')
store = []
if question == 'What is the number of total observation of the dataset':
store.append(df.shape)
if question == 'What are the column names of the dataset':
store.append(df.columns)
return jsonify(store)
if __name__ == '__main__':
app.debug = True
app.run(host = '192.168.21.11',port=5000)
It's running properly but getting null response. I would like to create ~30 more questions like this & store values in the store array. But values are not getting appended inside store, I think.
In jupyter notebook, though, I am getting proper response;
df = pd.DataFrame(json.load(urllib2.urlopen('http://192.168.21.245/sixthsensedata/server/Test_new.json')))
store = []
store.append(df.shape)
print store
[(521, 24)]
Why in flask, the values are not getting appended? I am testing my application in postman. Please guide where I am lacking.
Screenshot from postman

When not providing the data type for the Post method, request.form evaluates to
ImmutableMultiDict([('{"question": "What is the number of total observation of the dataset"}', u'')])
and question = request.form.get('question') ends up being none
You can explicitly use content type as json, or force load it.
#app.route('/api/conversation/', methods=['POST'])
def chatbot():
question = request.get_json(force=True).get('question')
store = []
if question == 'What is the number of total observation of the dataset':
store.append("shape")
elif question == 'What are the column names of the dataset':
store.append("columns")
return jsonify(store)
Curl requests
$curl -X POST -d '{"question": "What is the number of total observation of the dataset"}' http://127.0.0.1:5000/api/conversation/
["shape"]
$curl -H 'Content-Type: application/json' -X POST -d '{"question": "What is the number of total observation of the dataset"}' http://127.0.0.1:5000/api/conversation/
["shape"]