mbabaian/practice.py

## practice.py
# Practicing call to DPLA and getting data from it, then displaying results via html

import webbrowser
from operator import itemgetter
import requests

f=open('result.html', 'w')

# Make an api call and store the response.
url = "https://api.dp.la/v2/items?q=penguins&api_key=aefc7b2874411888e4e06b515935c19c"

r = requests.get(url)
print('Status code: ', r.status_code)

# Process information from each item
data = r.json()
data_list = []

for d in data['docs']:
    # print('Title:',  d['sourceResource']['title'])
    # print('Source:', d['dataProvider'])
    # print('URL:', d['isShownAt'])

    title = d['sourceResource']['title']
    source =d['dataProvider']
    link = d['isShownAt']

    data_list.append(d)

# iterate through data_list and add each item to html
for item in data_list:

   message = """<html>
        <head>
            <title> Practice </title>
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css"></link>
            <style>
                body { margin-top: 20px; margin-left: 20px;}
                h1 {    }
            </style>
        </head>
        <body>
            <h1> Practicing Python Queries to HTML Data </h1>
                    <p><strong>Title: </strong><a href="%s"> %s</a><br><strong>Location: </strong>%s</p>
        </body>
    </html>"""


# pass results from python query to html display
result = message  % (link, title, source)


# write all data to html file
f.write(result)
f.close()

webbrowser.open_new_tab('result.html')

## result.html
<!-- This is the html file created from the above python file -->

<html>
        <head>
            <title> Practice </title>
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css"></link>
            <style>
                body { margin-top: 20px; margin-left: 20px;}
                h1 {    }
            </style>
        </head>
        <body>
            <h1> Practicing Python Queries to HTML Data </h1>
                    <p><strong>Title: </strong><a href="http://digitalcollections.nypl.org/items/510d47db-dcac-a3d9-e040-e00a18064a99"> Poems for penguins</a><br><strong>Location: </strong>General Research Division. The New York Public Library</p>
        </body>
    </html>
	# Practicing call to DPLA and getting data from it, then displaying results via html

	import webbrowser
	from operator import itemgetter
	import requests

	f=open('result.html', 'w')

	# Make an api call and store the response.
	url = "https://api.dp.la/v2/items?q=penguins&api_key=aefc7b2874411888e4e06b515935c19c"

	r = requests.get(url)
	print('Status code: ', r.status_code)

	# Process information from each item
	data = r.json()
	data_list = []

	for d in data['docs']:
	# print('Title:', d['sourceResource']['title'])
	# print('Source:', d['dataProvider'])
	# print('URL:', d['isShownAt'])

	title = d['sourceResource']['title']
	source =d['dataProvider']
	link = d['isShownAt']

	data_list.append(d)

	# iterate through data_list and add each item to html
	for item in data_list:

	message = """<html>
	<head>
	<title> Practice </title>
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css"></link>
	<style>
	body { margin-top: 20px; margin-left: 20px;}
	h1 { }
	</style>
	</head>
	<body>
	<h1> Practicing Python Queries to HTML Data </h1>
	<p><strong>Title: </strong><a href="%s"> %s</a><br><strong>Location: </strong>%s</p>
	</body>
	</html>"""


	# pass results from python query to html display
	result = message % (link, title, source)


	# write all data to html file
	f.write(result)
	f.close()

	webbrowser.open_new_tab('result.html')
	<!-- This is the html file created from the above python file -->

	<html>
	<head>
	<title> Practice </title>
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css"></link>
	<style>
	body { margin-top: 20px; margin-left: 20px;}
	h1 { }
	</style>
	</head>
	<body>
	<h1> Practicing Python Queries to HTML Data </h1>
	<p><strong>Title: </strong><a href="http://digitalcollections.nypl.org/items/510d47db-dcac-a3d9-e040-e00a18064a99"> Poems for penguins</a><br><strong>Location: </strong>General Research Division. The New York Public Library</p>
	</body>
	</html>