conferences.py

# -*- coding: utf-8 -*-
"""conferences.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1eJWlDY_Cxx8lLmdHlUdByRsnngrBSb4C
"""

#begin by importing the Requests module
import requests

#making a request from url
r=requests.get("https://o136z8hk40.execute-api.us-east-1.amazonaws.com/dev/get-list-of-conferences")

#reading content of server's response
content=r.json()
print(content)

#getting keys in the API
for key,values in content.items():
    print(key)

#getting values of keys
print(content['paid'])

"""#Conference Details[Paid]"""

paidList=[]
paidInfo=content['paid']
for i in paidInfo:
    entry=[i['confName'],
            i['confStartDate'],
            None if i['city']=="" else i['city'],
            None if i['state']=="" else i['state'],
            None if i['country']=="" else i['country'],
            i['entryType'],
            i['confUrl']]
    paidList.append(entry)

srNo=1
for i in paidList:
    print(srNo,i)
    srNo+=1

"""Finding and Printing Exact Duplicates"""

tempList=[]
duplicatesList=[]
for i in paidList:
    if i not in tempList:
        tempList.append(i)
    else:
        duplicatesList.append(i)

srNo=1
for i in duplicatesList:
    print(srNo,i)
    srNo+=1

"""Finding and Printing Symantic Duplicates"""

!pip install fuzzywuzzy
!pip install python-Levenshtein

from fuzzywuzzy import fuzz
from fuzzywuzzy import process

for infoList1 in paidInfo:
  conference1=infoList1['confName']
  for infoList2 in paidInfo:
    conference2=infoList2['confName']
    fuzzymatch=fuzz.ratio(conference1,conference2)
    if fuzzymatch>=71 and fuzzymatch!=100:
      print("Semantic", (conference1,conference2))

"""# END"""