This module provides a simple framework for working with NPR's cloud services.
You can install this module via:
pip install npr
Begin by authenticating your app. Auth will walk you through key creation.
import npr
npr.auth()
output:
To authenticate your app:
1. LOGIN to http://dev.npr.org (if it's your first time, you'll need to register.)
2. Open the dev console (drop down in the top right corner of dev center)
3. Create a new application
4. Select that application and enter your credentials below
Application ID:
Fill in your application ID and secret at the prompts. Once verified, you must login:
npr.login()
output:
Go to https://secure.npr.org/device login and enter:
Z3SDM6
The script will poll the npr auth server every 5 seconds until you login and it gets a token. Then it will store your token and you shant (SHANT!) have to do this again.
The most common variables for many classes have already been loaded into the namespace, and you can access these in the asset dictionary:
stations = npr.Stations('boston')
stations.a
output:
Because they are in the namespace, you can use dot notation to access any of the first-level variables:
stations.stream
output:
'https://icecast-stream.wbur.org/wbur.aac'
You can also use a reverse lookup to find the keys to your own variables:
search = npr.Search('Hidden Brain')
search.pretty()
output:
"audioTitle": "Ep. 64: I'm Right, You're Wrong",
"date": "2017-03-13T21:00:19-04:00",
"description": "There are some topics
"items": [],
"links": {
"audio": [
{
"content-type": "audio/mp3",
"href": "https://play.podtrac.com/npr-510308...
. . .
And, using the above output, query to find the key to Ep. 64: I'm Right, You're Wrong
search.find("Ep. 64: I'm Right, You're Wrong")
output:
Ep. 64: I'm Right, You're Wrong .response['items'][0]['items'][2]['attributes']['audioTitle']
And now you can loop through all the recent episodes:
for episode in search.response['items'][0]['items']:
print(episode['attributes']['audioTitle'])
output:
Ep. 66: Liar, Liar
Episode 65: Tunnel Vision
Ep. 64: I'm Right, You're Wrong
To grab more than the last three episodes from this aggregation, you'll need to lookup the affiliate code and pass it to the Agg class:
hiddenBrain = Agg('510308')
hiddenBrain.pretty()
This won't help you play audio through a speaker, but it'll get you the data you need. First, initialize your player:
player = npr.One()
Now pass the title of the story to your display and the story audio to your player, use:
player.title
player.audio
To get the next segment, use:
player.skip()
or
player.complete()
...depending on the user action. Then you call player.audio to play the next segment.
The channel endpoint just lets you know what collections are available. You'll need a distinct call for each row (collection) in the explore tab. So to initialize the explore object and see all the stories in the third row, use:
explore = npr.Channels()
explore.fetch(2)
explore.row.pretty()
npr.auth() - authenticates your app with your developer credentials from dev.npr.org
npr.login() - returns a short code your user can enter at secure.npr.org/device, which will deliver a bearer token to your app
npr.logout() - removes the user's bearer token from your app. Remember to logout before distributing your app.
npr.deauth() - removes your developer credentials from the app by deleting the npr.conf file
npr.Station(orgId) - returns metadata about an NPR station, where 'orgId' is the orgId of the station.
npr.Stations('query') - returns metadata about NPR stations that match a query (call letters, zip code, city, or any indexed value)
npr.Stations(lat,lon) - returns metadata about NPR stations at a location (lon should be negative, because all our stations are west of the meridian)
npr.Search('query') - returns programs or episode titles with a term that matches your 'query'
npr.searchall('query') - returns any story with a term that matches your 'query'
npr.User() - returns data (including content preferences) about the logged in user
npr.Recommend() - returns a list of recommended audio for the logged in user.
npr.One() - Like recommend, except you can advance to the next segment via skip() and complete()
npr.Agg() - returns audio segments from the selected aggregation (aka affiliation)
npr.Channels() - returns channels from the explore tab, which, along with fetch(row) will also return segments.
npr.docs() - Lists example endpoint calls
<YOUR OBJECT NAME> .a - Lists variables loaded into the namespace of the current object.
<YOUR OBJECT NAME> .response - the json response from the endpoint
<YOUR OBJECT NAME> .pretty() - prints the json output in human-readable form
<YOUR OBJECT NAME> .find('your json value') - returns the json key path for the value you entered
Full endpoint documentation is available at http://dev.npr.org
- from npr/npr, type the command:
pasteurize -w __init__.py
- open npr/tests/test.ipynb in jupyter and run some of the tests
- increment the version number in npr/setup.py and add any new dependencies
version='0.1.2',
install_requires=[
'requests','future','requests[security];python_version<"2.9"',
],
- push new code to github
- from repo root (npr) build the package:
python setup.py sdist bdist_wheel
- update twine (optional) and upload it to PyPI:
pip install --upgrade twine
twine upload dist/* --skip-existing
- uninstall and reinstall npr on your machine.
pip uninstall npr
pip install npr
(pat yourself on the back)