Alan Ho alan-ho

I wanted to know: How can I get the current timestamp for UTC in ISO 8601 format to appear in the body data of a Postman request?

After reading some of the Postman documentation and online comments, this is the solution (using Postman v5.0.1 for Chrome 58.0.3029.110 on macOS 10.12.5) I used:

In the Builder, while editing a request, click the "Pre-request Script" heading below the URL field.

In the editor field that appears, enter this single line of JavaScript:

postman.setGlobalVariable('timestampUtcIso8601', (new Date()).toISOString());

	def find_key_in_nested_dict(d, target_key, path=None):
	if path is None:
	path = []

	for key, value in d.items():
	current_path = path + [key]

	if key == target_key:
	return current_path

	function print_filter(filter) {
	var f=eval(filter);
	if (typeof(f.length) != "undefined") {}else{}
	if (typeof(f.top) != "undefined") {f=f.top(Infinity);}else{}
	if (typeof(f.dimension) != "undefined") {f=f.dimension(function(d) { return "";}).top(Infinity);}else{}
	console.log(filter+"("+f.length+") = "+JSON.stringify(f).replace("[","[\n\t").replace(/}\,/g,"},\n\t").replace("]","\n]"));
	}

	browser = request.user_agent.browser
	version = request.user_agent.version and int(request.user_agent.version.split('.')[0])
	platform = request.user_agent.platform
	uas = request.user_agent.string

	if browser and version:
	if (browser == 'msie' and version < 9) \
	or (browser == 'firefox' and version < 4) \
	or (platform == 'android' and browser == 'safari' and version < 534) \
	or (platform == 'iphone' and browser == 'safari' and version < 7000) \

	weather_mapping = {
	"CL": "Cloudy",
	"DR": "Drizzle",
	"FA": "Fair (Day)",
	"FG": "Fog",
	"FN": "Fair (Night)",
	"FW": "Fair & Warm",
	"HG": "Heavy Thundery Showers with Gusty Winds",
	"HR": "Heavy Rain",
	"HS": "Heavy Showers",

	from urllib.request import urlopen
	from bs4 import BeautifulSoup
	import datetime
	import random
	import re

	random.seed(datetime.datetime.now())
	def getLinks(articleUrl):
	html = urlopen("http://en.wikipedia.org"+articleUrl)
	bsObj = BeautifulSoup(html, 'html.parser')

	#Create DataFrame from Dictionary

	import pandas as pd

	data = {'year': [2010, 2011, 2012, 2011, 2012, 2010, 2011, 2012], 'team': ['Bears', 'Bears', 'Bears', 'Packers', 'Packers', 'Lions', 'Lions', 'Lions'],'wins': [11, 8, 10, 15, 11, 6, 10, 4], 'losses': [5, 8, 6, 1, 5, 10, 6, 12]}

	football = pd.DataFrame(data)

	print (football.dtypes)
	print (football.describe())

	# Create the figure: p
	p = figure(x_axis_label='fertility (children per woman)', y_axis_label='female_literacy (% population)')

	# Add a circle glyph to the figure p
	p.circle(fertility_latinamerica, female_literacy_latinamerica)

	# Add an x glyph to the figure p
	p.x(fertility_africa, female_literacy_africa)

	# Specify the name of the file

	# Import figure from bokeh.plotting
	from bokeh.plotting import figure

	# Import output_file and show from bokeh.io
	from bokeh.io import output_file, show

	# Create the figure: p
	p = figure(x_axis_label='fertility (children per woman)', y_axis_label='female_literacy (% population)')

	# Add a circle glyph to the figure p

	#Create virtual environments
	$ conda create --name <ENVIRONMENT_NAME> anaconda

	#To activate this environment, use:
	$ source activate <ENVIRONMENT_NAME>

	#To deactivate this environment, use:
	$ source deactivate

	#Remove an environment: