Richard Stanley citizenrich

Install Docker for Mac or Linux (or Windows). If Linux, then install docker-compose as well (it's automatically installed with Mac and Windows)

Next, create the testing folder.

mkdir openinfoman-test
cd openinfoman-test/
git clone https://github.com/openhie/openinfoman

"Hello, world" for openinfoman

openinfoman uses basex. basex is Java-based XML database, XQuery engine, and RestXQ web application framework. Installing openinfoman also installs basex.

Using a fresh Ubuntu 14.x install the openhie repository and then openinfoman. Accept the default options for openinfoman (heap size: default, url: leave blank, database: provider_directory).

Manual Installation on Linux and Mac

This is a manual installation that follows as closely as possible the packaging in Debian except that it can run under any user and does not require superuser privileges. Requirements are a JRE, PHP, Git, wget, unzip.

# for example, on a fresh Ubuntu Linux
sudo apt-get install git wget unzip default-jre openjdk-7-jre php5

This is written for Bash, particularly the array declarations. So, modify if you need to use another shell.

	cd "~/Dropbox/Datasets/DHSbr/archives/"
	fsx .ZIP .zip
	foreach file in `r(files)' {
	capture unzipfile `file', replace
	fsx .DTA .dta
	local data `r(files)'
	use `data', clear
	describe, short
	//Clean up the files that were unzipped.
	//The shell command should be changed for the operating system, this is Mac/UNIX/Linux.

	cd "~/Dropbox/Data/temp/"
	sysuse auto, clear
	save "~/Dropbox/Data/temp/auto1.dta", replace
	sysuse auto, clear
	save "~/Dropbox/Data/temp/auto2.dta", replace
	foreach file in auto1.dta auto2.dta {
	rsource using summary.R, roptions(--vanilla --slave --args `file')
	}

	args<-commandArgs(TRUE)
	setwd("~/Dropbox/Data/temp/")
	library(readstata13)
	dat <- read.dta13(paste(args,sep = ""))
	summary(dat)
	save.dta13(dat, file=paste(args, "results.dta",sep = "_"))

	from fabric.api import *
	#works on centos 6.7 64-bit digitalocean.com droplet
	env.hosts = ['XXX.XXX.XXX.XXX']
	env.user = 'root'
	home = '/opt/kazoo_install'
	repo = '/opt/kazoo_install/community-scripts/simple-installer'

	def iptables():
	run('iptables -F')
	run('iptables -X')

	#!/usr/bin/env python3
	import requests
	from datetime import datetime, timedelta
	import json

	base = 'https://share.osf.io/api/v2/search/creativeworks/_search'
	keywords = 'neural networks'

	# simple query
	simp_query = {"query": {"query_string": {"query": keywords}}}

	Homebrew build logs for elasticsearch on macOS 10.12.1
	Build date: 2016-12-02 12:56:58

	#!/usr/bin/env python3
	import os
	import requests
	from bs4 import BeautifulSoup
	import pandas as pd
	from itertools import zip_longest

	census_key = os.environ.get("CENSUS_KEY")

	# base = 'http://api.census.gov/data/2011/acs5'