def _do_search(self, q):
ugly = worksearch.do_search({"q": q, "has_fulltext": "true", "public_scan": "true"}, None)
results = web.storage({'num_found': ugly['num_found'], 'books': []})
works = [worksearch.get_doc(doc) for doc in ugly['docs']]
for work in works:
work.key = '/works/%s' % work.key
for edition, work in _editions_for_works(works):
results['books'].append((edition, work))
return results
def test_get_doc():
doc = get_doc({
'author_key': ['OL218224A'],
'author_name': ['Alan Freedman'],
'cover_edition_key': 'OL1111795M',
'edition_count': 14,
'first_publish_year': 1981,
'has_fulltext': True,
'ia': ['computerglossary00free'],
'key': '/works/OL1820355W',
'lending_edition_s': 'OL1111795M',
'public_scan_b': False,
'title': 'The computer glossary',
})
assert doc == web.storage({
'key':
'/works/OL1820355W',
'title':
'The computer glossary',
'url':
'/works/OL1820355W/The_computer_glossary',
'edition_count':
14,
'ia': ['computerglossary00free'],
'collections':
set(),
'has_fulltext':
True,
'public_scan':
False,
'lending_edition':
'OL1111795M',
'lending_identifier':
None,
'authors': [
web.storage({
'key': 'OL218224A',
'name': 'Alan Freedman',
'url': '/authors/OL218224A/Alan_Freedman',
})
],
'first_publish_year':
1981,
'first_edition':
None,
'subtitle':
None,
'cover_edition_key':
'OL1111795M',
'languages': [],
'id_project_gutenberg': [],
'id_librivox': [],
'id_standard_ebooks': [],
'id_openstax': [],
})
def test_get_doc():
sample_doc = etree.fromstring('''<doc>
<arr name="author_key"><str>OL218224A</str></arr>
<arr name="author_name"><str>Alan Freedman</str></arr>
<str name="cover_edition_key">OL1111795M</str>
<int name="edition_count">14</int>
<int name="first_publish_year">1981</int>
<bool name="has_fulltext">true</bool>
<arr name="ia"><str>computerglossary00free</str></arr>
<str name="key">OL1820355W</str>
<str name="lending_edition_s">OL1111795M</str>
<bool name="public_scan_b">false</bool>
<str name="title">The computer glossary</str>
</doc>''')
doc = get_doc(sample_doc)
assert doc.public_scan == False
def test_get_doc():
sample_doc = etree.fromstring('''<doc>
<arr name="author_key"><str>OL218224A</str></arr>
<arr name="author_name"><str>Alan Freedman</str></arr>
<str name="cover_edition_key">OL1111795M</str>
<int name="edition_count">14</int>
<int name="first_publish_year">1981</int>
<bool name="has_fulltext">true</bool>
<arr name="ia"><str>computerglossary00free</str></arr>
<str name="key">OL1820355W</str>
<str name="lending_edition_s">OL1111795M</str>
<bool name="public_scan_b">false</bool>
<str name="title">The computer glossary</str>
</doc>''')
doc = get_doc(sample_doc)
assert doc.public_scan == False
def _do_search(self, q):
ugly = worksearch.do_search({"q": q}, None)
results = web.storage({'num_found': ugly['num_found'], 'docs': []})
for doc in ugly['docs']:
results['docs'].append(worksearch.get_doc(doc))
return results
