Varun Verma varver

## 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

## redshift_connect.py
############ REQUIREMENTS ####################
# sudo apt-get install python-pip
# sudo apt-get install libpq-dev
# sudo pip install psycopg2
# sudo pip install sqlalchemy
# sudo pip install sqlalchemy-redshift
##############################################

import sqlalchemy as sa
from sqlalchemy.orm import sessionmaker

## .Title
Using MongoDB in golang with mgo

## geospatial-querying-with-go-and-mongodb.go
package main

import (
	"encoding/json"
	"fmt"
	"gopkg.in/mgo.v2"
	"gopkg.in/mgo.v2/bson"
	"log"
)

## golang_job_queue.md

      
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                varver
                / golang_job_queue.md
            
            
              Created
              September 12, 2016 20:59
                — forked from harlow/golang_job_queue.md
            
              
                Job queues in Golang
              
          
    Golang Job Queue

A running example of the code from:

http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

Step 1

Small refactorings made to original code:

  
## get_image_size.go
package main

import (
	"bytes"
	"fmt"
	"github.com/varver/rextro"
	_ "golang.org/x/image/bmp"
	_ "golang.org/x/image/webp"
	"image"
	_ "image/gif"

## Golang decorator
package main

import (
	"fmt"
)

func decorator(f func(s string)) func(s string) {

	return func(s string) {
		fmt.Println("Started")

## pprof.go
package main

import (
    "fmt"
    "runtime"
    "sync"
    "github.com/davecheney/profile"
)

func main() {

## abstract_parse.go
package main


import (
 	"os"
	"encoding/xml"
	"strings"
	"log"
	"runtime/debug"
)

## cookie_jar_golang.go
/*
This code Do the following stuff :
1) login to a website called : website.com by submitting password and username on the page with url :- http://website.com/login
2) Now after login using the cookies stored by this webiste access user profile page
3) Now using same client which stored the required cookies make another post request to user profile page present at page :-
http://website.com/upser_profile_page .
4) Now get html of this whole page and print it in log as a string .

*/
	### 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
	############ REQUIREMENTS ####################
	# sudo apt-get install python-pip
	# sudo apt-get install libpq-dev
	# sudo pip install psycopg2
	# sudo pip install sqlalchemy
	# sudo pip install sqlalchemy-redshift
	##############################################

	import sqlalchemy as sa
	from sqlalchemy.orm import sessionmaker
	package main

	import (
	"encoding/json"
	"fmt"
	"gopkg.in/mgo.v2"
	"gopkg.in/mgo.v2/bson"
	"log"
	)
	package main

	import (
	"bytes"
	"fmt"
	"github.com/varver/rextro"
	_ "golang.org/x/image/bmp"
	_ "golang.org/x/image/webp"
	"image"
	_ "image/gif"
	package main


	import (
	"os"
	"encoding/xml"
	"strings"
	"log"
	"runtime/debug"
	)
	/*
	This code Do the following stuff :
	1) login to a website called : website.com by submitting password and username on the page with url :- http://website.com/login
	2) Now after login using the cookies stored by this webiste access user profile page
	3) Now using same client which stored the required cookies make another post request to user profile page present at page :-
	http://website.com/upser_profile_page .
	4) Now get html of this whole page and print it in log as a string .

	*/