How to read the JSON file in javascript flask

Question

I'm using d3.js for showing our data on map using flask. I'm trying to get the world.json file in here using this @app.route('/', methods=['POST' ]) but it is giving error of 127.0.0.1 - - [29/Apr/2019 14:33:40] "POST / HTTP/1.1" 200 - and 127.0.0.1 - - [29/Apr/2019 14:33:41] "GET /world.json HTTP/1.1" 404 -. I have stored my world.json file in temp folder.

import io
import csv
import pandas as pd
import numpy as np
from flask_googlemaps import GoogleMaps
from flask_googlemaps import Map,icons
import folium
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity

########################################################################################################3

#from __future__ import division
import string
import math
import pandas

def kuch(doc_headline):
    import os
    import pandas as pd
    import numpy as np
    from nltk.tokenize import word_tokenize
    from gensim import corpora, models, similarities

    # This one is good when files of news corpus dict matrix are already generated and we are using notebook
    # Use this saved matrix starategy in tfidf search in web app
    if (os.path.exists("adminWorkOutput/news.dict")):
        dictionary = corpora.Dictionary.load('adminWorkOutput/news.dict')
        corpus = corpora.MmCorpus('adminWorkOutput/news.mm')
        print("Already generated files are Used")
    else:
        print("Fresh run to generate saved dict matrix data ")

    tfidf = models.TfidfModel(corpus)
    corpus_tfidf = tfidf[corpus]

    # one
    # for doc in corpus_tfidf:
    #    print(doc)
    # two
    for doc in corpus_tfidf:
        doc = [(dictionary.get(idx), tfidf) for idx, tfidf in doc]
        #print(doc)

    # one way
    index = similarities.MatrixSimilarity(corpus_tfidf)
    # print(np.array(index))

    print("\nxxxxxxxxxxxxxxxxxxxxxxxx Similarities \n")

    # other way
    sims = similarities.Similarity('adminWorkOutput/', corpus_tfidf,
                                   num_features=len(dictionary))
    #print(sims)
    # print(type(sims))

    # documents[819] means news_820
    # because array start from 0 and news start from 1
    qry = doc_headline  # str(documents[819])
    print(qry)
    query_doc = [w.lower() for w in word_tokenize(qry)]
    # print(query_doc)
    query_doc_bow = dictionary.doc2bow(query_doc)
    # print(query_doc_bow)
    query_doc_tf_idf = tfidf[query_doc_bow]
    # print(query_doc_tf_idf)
    print("\nxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n")
    my_result = sims[query_doc_tf_idf]
    #print(my_result)

    # print(list(enumerate(my_result)))
    arr = sorted(enumerate(my_result), key=lambda item: -item[1])

    print('this is there\n', arr[1])
    df = pd.read_csv('adminWorkOutput/preprocessed.csv')
    #print(df.loc[arr[1][0], 'topic'])

    records = []
    i = 0
    import random
    while (arr[i][1] > 0.1):
        topic1 = df.loc[arr[i][0], 'headline']
        country1 = df.loc[arr[i][0], 'country']
        similarity_score1 = arr[i][1]
        polarity_score1 = random.uniform(-1, 1)
        records.append((topic1, country1, similarity_score1, polarity_score1))
        i += 1

    df1 = pd.DataFrame(records, columns=['topic', 'country', 'similarity_score', 'polarity_score'])

    df1.to_csv('adminWorkOutput/similar.csv')

    import csv, json
    csvFilePath = "adminWorkOutput/similar.csv"
    jsonFilePath = "adminWorkOutput/file.json"
    arr = []
    # read the csv and add the arr to a arrayn

    with open(csvFilePath) as csvFile:
        csvReader = csv.DictReader(csvFile)
        print(csvReader)
        for csvRow in csvReader:
            arr.append(csvRow)
        # arr = {'Countries': arr} # Added line

    #print(arr)

    # write the data to a json file
    with open(jsonFilePath, "w") as jsonFile:
        jsonFile.write(json.dumps(arr, indent=4))


app = Flask(__name__, static_url_path = "/tmp", static_folder = "tmp")



@app.route('/')
def my_form():
    return render_template('myform2.html')




@app.route('/', methods=['POST' ])
def my_form_post():
    text = request.form['search']

    #processed_text = text.upper()
    print(text)
    kuch(text)
    print("sahi ha")
    return render_template('GeoMap/index.html')


import os
if __name__ == "__main__":
    app.run()

Answer 1

Nothing in your code is mapped to the route GET /world.json.

The static_folder files are available from the static_url_path, try GET /tmp/world.json.

Check out the Flask tutorial, especially the static files section.

Answer 2

You forgot to provide the content of your template GeoMap/index.html that contains access to the world.json file. In general, you should use url_for to access the file. In your case, where you define your Flask app as

app = Flask(__name__, static_url_path="/tmp", static_folder="tmp")

you should have something like this in your template:

{{ url_for('static', filename='world.json') }}

Thus, this would result in a request to /tmp/world.json URL. Now, it depends what you mean by I have stored my world.json file in temp folder. On Linux/UNIX systems, the temp folder usually is /tmp, but in your app definition, you provide tmp which means tmp folder relative to the project directory. Maybe you wanted to set static_folder="/tmp" then?