Fetch issues from sentry with highest frequency in 14 days

sentry_issue_api.py

### READ ME :::) 
# You can fetch issues with highest frequeny from sentry using this script.
# It will fetch top 100 issues and some meta information related to that issue. 
# And write everything is a csv file separated with "~"
# you can change environment=production in the URL used to make api call below. Please refer your project to see environment options available.
#### IMPO :: please change token and your organization URL/Project_Name (org_and_project) below :

import json
import requests
import csv
import os

############################################################
token = "hfdsgfhdsgfhjdsgfhjdsgfhdsfhjsdgfhjdsfhggfsdhfgdshj"
org_and_project = "abccorp/project_name"
##########################################################

# curl -H 'Authorization: Bearer hfdsgfhdsgfhjdsgfhjdsgfhdsfhjsdgfhjdsfhggfsdhfgdshj' "https://sentry.io/api/0/projects/abccorp/project_name/issues/?environment=production&sort=freq&statsPeriod=14d" > output.json

url = 'https://sentry.io/api/0/projects/+ org_and_project +/issues/?environment=production&sort=freq&statsPeriod=14d'
headers = {'Authorization': 'Bearer ' + token }
r = requests.get(url, headers=headers)
lines = [["TITLE","COUNT","CULPRIT","META.TYPE","META.FILENAME","LINK"]]
data = r.json()
for x in data :
	temp = []
	temp.append(x["title"])
	temp.append(x["count"])
	temp.append(x["culprit"])
	temp.append(x["metadata"].get("type","NA"))
	temp.append(x["metadata"].get("filename","NA"))
	temp.append(x["permalink"])
	lines.append(temp)

print len(data)
cur_dir = os.path.dirname(os.path.abspath(__file__))
with open(cur_dir + '/output.csv', 'w') as writeFile:
    writer = csv.writer(writeFile,delimiter='~')
    writer.writerows(lines)