regluit/core/search.py

50 lines
1.5 KiB
Python
Raw Normal View History

import json
import requests
def gluejar_search(q):
"""normalizes results from the google books search suitable for gluejar
"""
results = []
for item in googlebooks_search(q)['items']:
# TODO: better to think in terms of editions with titles
# instead of titles with names?
v = item['volumeInfo']
r = {'title': v.get('title', ""),
'description': v.get('description', ""),
'publisher': v.get('publisher', ""),
'googlebooks_id': item.get('id')}
# TODO: allow multiple authors
if v.has_key('authors') and len(v['authors']) > 0:
r['author'] = v['authors'][0]
else:
r['author'] = ""
r['isbn_10'] = None
r['isbn_13'] = None
# pull out isbns
for i in v.get('industryIdentifiers', []):
if i['type'] == 'ISBN_13':
r['isbn_13'] = i['identifier']
if i['type'] == 'ISBN_10':
r['isbn_10'] = i['identifier']
# cover image
if v.has_key('imageLinks'):
r['image'] = v['imageLinks'].get('smallThumbnail', "")
else:
r['image'] = ""
results.append(r)
return results
def googlebooks_search(q):
# XXX: need to pass IP address of user in from the frontend
headers = {'X-Forwarded-For': '69.243.24.29'}
r = requests.get('https://www.googleapis.com/books/v1/volumes',
params={'q': q}, headers=headers)
return json.loads(r.content)