varver

### 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

varver

############ 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

varver

Using MongoDB in golang with mgo

varver

package main

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

varver

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:

varver

package main

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

varver

package main

import (
	"fmt"
)

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

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

varver

package main

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

func main() {

varver

package main 


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

varver

/* 
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 .
 
*/