def __init__(self, _db, overdrive=None, threem=None, axis=None):
self._db = _db
self.overdrive = overdrive
self.threem = threem
self.axis = axis
self.apis = [x for x in (overdrive, threem, axis) if x]
self.log = logging.getLogger("Circulation API")
# When we get our view of a patron's loans and holds, we need
# to include loans from all licensed data sources. We do not
# need to include loans from open-access sources because we
# are the authorities on those.
data_sources_for_sync = []
if self.overdrive:
data_sources_for_sync.append(
DataSource.lookup(_db, DataSource.OVERDRIVE)
)
if self.threem:
data_sources_for_sync.append(
DataSource.lookup(_db, DataSource.THREEM)
)
if self.axis:
data_sources_for_sync.append(
DataSource.lookup(_db, DataSource.AXIS_360)
)
self.identifier_type_to_data_source_name = dict(
(ds.primary_identifier_type, ds.name)
for ds in data_sources_for_sync)
self.data_source_ids_for_sync = [
x.id for x in data_sources_for_sync
]
def test_items_that_need_coverage(self):
source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
other_source = DataSource.lookup(self._db, DataSource.OVERDRIVE)
# An item that hasn't been covered by the provider yet
cr = self._coverage_record(self._edition(), other_source)
# An item that has been covered by the reaper operation already
reaper_cr = self._coverage_record(
self._edition(), source, operation=CoverageRecord.REAP_OPERATION
)
# An item that has been covered by the reaper operation, but has
# had its license repurchased.
relicensed_edition, relicensed_licensepool = self._edition(with_license_pool=True)
relicensed_coverage_record = self._coverage_record(
relicensed_edition, source, operation=CoverageRecord.REAP_OPERATION
)
relicensed_licensepool.update_availability(1, 0, 0, 0)
items = self.provider.items_that_need_coverage().all()
# Provider ignores anything that has been reaped and doesn't have
# licenses.
assert reaper_cr.identifier not in items
# But it picks up anything that hasn't been covered at all and anything
# that's been licensed anew even if its already been reaped.
eq_(2, len(items))
assert relicensed_licensepool.identifier in items
assert cr.identifier in items
# The Wrangler Reaper coverage record is removed from the db
# when it's committed.
assert relicensed_coverage_record in relicensed_licensepool.identifier.coverage_records
self._db.commit()
assert relicensed_coverage_record not in relicensed_licensepool.identifier.coverage_records
def test_items_that_need_coverage(self):
source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
other_source = DataSource.lookup(self._db, DataSource.OVERDRIVE)
# An item that hasn't been covered by the provider yet
cr = self._coverage_record(self._edition(), other_source)
# An item that has been covered by the reaper operation already
reaper_cr = self._coverage_record(
self._edition(), source, operation=CoverageRecord.REAP_OPERATION
)
# An item that has been covered by the reaper operation, but has
# had its license repurchased.
relicensed, relicensed_lp = self._edition(with_license_pool=True)
self._coverage_record(
relicensed, source, operation=CoverageRecord.REAP_OPERATION
)
relicensed_lp.update_availability(1, 0, 0, 0)
with temp_config() as config:
config[Configuration.INTEGRATIONS][Configuration.METADATA_WRANGLER_INTEGRATION] = {
Configuration.URL : "http://url.gov"
}
provider = MetadataWranglerCoverageProvider(self._db)
items = provider.items_that_need_coverage.all()
# Provider ignores anything that has been reaped and doesn't have
# licenses.
assert reaper_cr.identifier not in items
# But it picks up anything that hasn't been covered at all and anything
# that's been licensed anew even if its already been reaped.
eq_(2, len(items))
assert relicensed_lp.identifier in items
assert cr.identifier in items
# The Wrangler Reaper coverage record is removed from the db
# when it's committed.
self._db.commit()
eq_([], relicensed_lp.identifier.coverage_records)
def test_run_once(self):
# Setup authentication and Metadata Wrangler details.
lp = self._licensepool(
None, data_source_name=DataSource.BIBLIOTHECA,
collection=self.collection
)
lp.identifier.type = Identifier.BIBLIOTHECA_ID
isbn = Identifier.parse_urn(self._db, u'urn:isbn:9781594632556')[0]
lp.identifier.equivalent_to(
DataSource.lookup(self._db, DataSource.BIBLIOTHECA), isbn, 1
)
eq_([], lp.identifier.links)
eq_([], lp.identifier.measurements)
# Queue some data to be found.
responses = (
'metadata_updates_response.opds',
'metadata_updates_empty_response.opds',
)
for filename in responses:
data = sample_data(filename, 'opds')
self.lookup.queue_response(
200, {'content-type' : OPDSFeed.ACQUISITION_FEED_TYPE}, data
)
timestamp = self.ts
new_timestamp = self.monitor.run_once(timestamp)
# We have a new value to use for the Monitor's timestamp -- the
# earliest date seen in the last OPDS feed that contained
# any entries.
eq_(datetime.datetime(2016, 9, 20, 19, 37, 2), new_timestamp.finish)
eq_("Editions processed: 1", new_timestamp.achievements)
# Normally run_once() doesn't update the monitor's timestamp,
# but this implementation does, so that work isn't redone if
# run_once() crashes or the monitor is killed.
eq_(new_timestamp.finish, self.monitor.timestamp().finish)
# The original Identifier has information from the
# mock Metadata Wrangler.
mw_source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
eq_(3, len(lp.identifier.links))
[quality] = lp.identifier.measurements
eq_(mw_source, quality.data_source)
# Check the URLs we processed.
url1, url2 = [x[0] for x in self.lookup.requests]
# The first URL processed was the default one for the
# MetadataWranglerOPDSLookup.
eq_(self.lookup.get_collection_url(self.lookup.UPDATES_ENDPOINT), url1)
# The second URL processed was whatever we saw in the 'next' link.
eq_("http://next-link/", url2)
def test_finalize_edition(self):
provider_no_presentation_ready = self._provider(presentation_ready_on_success=False)
provider_presentation_ready = self._provider(presentation_ready_on_success=True)
identifier = self._identifier()
source = DataSource.lookup(self._db, DataSource.GUTENBERG)
# Here's an Edition with no LicensePool.
edition, is_new = Edition.for_foreign_id(
self._db, source, identifier.type, identifier.identifier
)
edition.title = self._str
# This will effectively do nothing.
provider_no_presentation_ready.finalize_edition(edition)
# No Works have been created.
eq_(0, self._db.query(Work).count())
# But if there's also a LicensePool...
pool, is_new = LicensePool.for_foreign_id(
self._db, source, identifier.type, identifier.identifier
)
# finalize_edition() will create a Work.
provider_no_presentation_ready.finalize_edition(edition)
work = pool.work
eq_(work, edition.work)
eq_(False, work.presentation_ready)
# If the provider is configured to do so, finalize_edition()
# will also set the Work as presentation-ready.
provider_presentation_ready.finalize_edition(edition)
eq_(True, work.presentation_ready)
def test_load_cover_link(self):
# Create a directory import script with an empty mock filesystem.
script = MockDirectoryImportScript(self._db, {})
identifier = self._identifier(Identifier.GUTENBERG_ID, "2345")
gutenberg = DataSource.lookup(self._db, DataSource.GUTENBERG)
mirror = MockS3Uploader()
args = (identifier, gutenberg, "covers", mirror)
# There is nothing on the mock filesystem, so in this case
# load_cover_link returns None.
eq_(None, script.load_cover_link(*args))
# But we tried.
eq_(
('2345', 'covers', Representation.COMMON_IMAGE_EXTENSIONS,
'cover image'),
script._locate_file_args
)
# Try another script that has a populated mock filesystem.
mock_filesystem = {
'covers' : (
'acover.jpeg', Representation.JPEG_MEDIA_TYPE, "I'm an image."
)
}
script = MockDirectoryImportScript(self._db, mock_filesystem)
link = script.load_cover_link(*args)
eq_(Hyperlink.IMAGE, link.rel)
assert link.href.endswith(
'/test.cover.bucket/Gutenberg/Gutenberg+ID/2345/2345.jpg'
)
eq_(Representation.JPEG_MEDIA_TYPE, link.media_type)
eq_("I'm an image.", link.content)
def __init__(self, _db, data_directory):
self._db = _db
self.collection = Collection.by_protocol(self._db, ExternalIntegration.GUTENBERG).one()
self.source = DataSource.lookup(self._db, DataSource.GUTENBERG)
self.data_directory = data_directory
self.catalog_path = os.path.join(self.data_directory, self.FILENAME)
self.log = logging.getLogger("Gutenberg API")
def lookup_equivalent_isbns(self, identifier):
"""Finds NoveList data for all ISBNs equivalent to an identifier.
:return: Metadata object or None
"""
lookup_metadata = []
license_sources = DataSource.license_sources_for(self._db, identifier)
# Look up strong ISBN equivalents.
for license_source in license_sources:
lookup_metadata += [self.lookup(eq.output)
for eq in identifier.equivalencies
if (eq.data_source==license_source and eq.strength==1
and eq.output.type==Identifier.ISBN)]
if not lookup_metadata:
self.log.error(
"Identifiers without an ISBN equivalent can't \
be looked up with NoveList: %r", identifier
)
return None
# Remove None values.
lookup_metadata = [metadata for metadata in lookup_metadata if metadata]
if not lookup_metadata:
return None
best_metadata = self.choose_best_metadata(lookup_metadata, identifier)
if not best_metadata:
metadata, confidence = best_metadata
if round(confidence, 2) < 0.5:
self.log.warn(self.NO_ISBN_EQUIVALENCY, identifier)
return None
return metadata
def __init__(self, _db, lookup=None, input_identifier_types=None,
operation=None, **kwargs):
if not input_identifier_types:
input_identifier_types = [
Identifier.OVERDRIVE_ID,
Identifier.THREEM_ID,
Identifier.GUTENBERG_ID,
Identifier.AXIS_360_ID,
]
output_source = DataSource.lookup(
_db, DataSource.METADATA_WRANGLER
)
super(MetadataWranglerCoverageProvider, self).__init__(
lookup = lookup or SimplifiedOPDSLookup.from_config(),
service_name=self.SERVICE_NAME,
input_identifier_types=input_identifier_types,
output_source=output_source,
operation=operation or self.OPERATION,
**kwargs
)
if not self.lookup.authenticated:
self.log.warn(
"Authentication for the Library Simplified Metadata Wrangler "
"is not set up. You can still use the metadata wrangler, but "
"it will not know which collection you're asking about."
)
def metadata_needed_for(self, collection_details):
"""Returns identifiers in the collection that could benefit from
distributor metadata on the circulation manager.
"""
client = authenticated_client_from_request(self._db)
if isinstance(client, ProblemDetail):
return client
collection = collection_from_details(
self._db, client, collection_details
)
resolver = IdentifierResolutionCoverageProvider
unresolved_identifiers = collection.unresolved_catalog(
self._db, resolver.DATA_SOURCE_NAME, resolver.OPERATION
)
# Omit identifiers that currently have metadata pending for
# the IntegrationClientCoverImageCoverageProvider.
data_source = DataSource.lookup(
self._db, collection.name, autocreate=True
)
is_awaiting_metadata = self._db.query(
CoverageRecord.id, CoverageRecord.identifier_id
).filter(
CoverageRecord.data_source_id==data_source.id,
CoverageRecord.status==CoverageRecord.REGISTERED,
CoverageRecord.operation==IntegrationClientCoverImageCoverageProvider.OPERATION,
).subquery()
unresolved_identifiers = unresolved_identifiers.outerjoin(
is_awaiting_metadata,
Identifier.id==is_awaiting_metadata.c.identifier_id
).filter(is_awaiting_metadata.c.id==None)
# Add a message for each unresolved identifier
pagination = load_pagination_from_request(default_size=25)
feed_identifiers = pagination.apply(unresolved_identifiers).all()
messages = list()
for identifier in feed_identifiers:
messages.append(OPDSMessage(
identifier.urn, HTTP_ACCEPTED, "Metadata needed."
))
title = "%s Metadata Requests for %s" % (collection.protocol, client.url)
metadata_request_url = self.collection_feed_url(
'metadata_needed_for', collection
)
request_feed = AcquisitionFeed(
self._db, title, metadata_request_url, [], VerboseAnnotator,
precomposed_entries=messages
)
self.add_pagination_links_to_feed(
pagination, unresolved_identifiers, request_feed,
'metadata_needed_for', collection
)
return feed_response(request_feed)
def test_handle_import_messages(self):
data_source = DataSource.lookup(self._db, DataSource.OVERDRIVE)
provider = OPDSImportCoverageProvider("name", [], data_source)
message = StatusMessage(201, "try again later")
message2 = StatusMessage(404, "we're doomed")
message3 = StatusMessage(200, "everything's fine")
identifier = self._identifier()
identifier2 = self._identifier()
identifier3 = self._identifier()
messages_by_id = { identifier.urn: message,
identifier2.urn: message2,
identifier3.urn: message3,
}
[f1, f2] = sorted(list(provider.handle_import_messages(messages_by_id)),
key=lambda x: x.exception)
eq_(identifier, f1.obj)
eq_("201: try again later", f1.exception)
eq_(True, f1.transient)
eq_(identifier2, f2.obj)
eq_("404: we're doomed", f2.exception)
eq_(False, f2.transient)
def _provider(self, presentation_ready_on_success=True):
"""Create a generic MockOPDSImportCoverageProvider for testing purposes."""
source = DataSource.lookup(self._db, DataSource.OA_CONTENT_SERVER)
return MockOPDSImportCoverageProvider(
"mock provider", [], source,
presentation_ready_on_success=presentation_ready_on_success
)
def test_items_that_need_coverage_respects_cutoff(self):
"""Verify that this coverage provider respects the cutoff_time
argument.
"""
source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
edition = self._edition()
cr = self._coverage_record(edition, source, operation='sync')
# We have a coverage record already, so this book doesn't show
# up in items_that_need_coverage
items = self.provider.items_that_need_coverage().all()
eq_([], items)
# But if we send a cutoff_time that's later than the time
# associated with the coverage record...
one_hour_from_now = (
datetime.datetime.utcnow() + datetime.timedelta(seconds=3600)
)
provider_with_cutoff = self.create_provider(
cutoff_time=one_hour_from_now
)
# The book starts showing up in items_that_need_coverage.
eq_([edition.primary_identifier],
provider_with_cutoff.items_that_need_coverage().all())
def __init__(self, _db, input_identifier_types=None, metadata_lookup=None,
cutoff_time=None, operation=None):
self._db = _db
if not input_identifier_types:
input_identifier_types = [
Identifier.OVERDRIVE_ID,
Identifier.THREEM_ID,
Identifier.GUTENBERG_ID,
Identifier.AXIS_360_ID,
]
self.output_source = DataSource.lookup(
self._db, DataSource.METADATA_WRANGLER
)
if not metadata_lookup:
metadata_lookup = SimplifiedOPDSLookup.from_config()
self.lookup = metadata_lookup
if not operation:
operation = CoverageRecord.SYNC_OPERATION
self.operation = operation
super(MetadataWranglerCoverageProvider, self).__init__(
self.service_name,
input_identifier_types,
self.output_source,
workset_size=20,
cutoff_time=cutoff_time,
operation=self.operation,
)
def generate_mock_api(self):
"""Prep an empty NoveList result."""
source = DataSource.lookup(self._db, DataSource.OVERDRIVE)
metadata = Metadata(source)
mock_api = MockNoveListAPI(self._db)
mock_api.setup(metadata)
return mock_api
def __init__(self, _db, testing=False, api=None):
super(ThreeMCirculationSweep, self).__init__(
_db, "3M Circulation Sweep", batch_size=25)
self._db = _db
if not api:
api = ThreeMAPI(self._db, testing=testing)
self.api = api
self.data_source = DataSource.lookup(self._db, DataSource.THREEM)
def setup(self):
super(TestMetadataWranglerCollectionReaper, self).setup()
self.source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
with temp_config() as config:
config[Configuration.INTEGRATIONS][Configuration.METADATA_WRANGLER_INTEGRATION] = {
Configuration.URL : "http://url.gov"
}
self.reaper = MetadataWranglerCollectionReaper(self._db)
def __init__(self, _db, authenticator, node_value,
temporary_token_duration=None):
self._db = _db
self.authenticator = authenticator
self.data_source = DataSource.lookup(_db, DataSource.ADOBE)
self.temporary_token_duration = (
temporary_token_duration or datetime.timedelta(minutes=10))
if isinstance(node_value, basestring):
node_value = int(node_value, 16)
self.node_value = node_value
def __init__(self, db, mirrors, uploader=None):
self._db = db
self.data_source_ids = []
self.uploader = uploader or S3Uploader()
self.log = logging.getLogger("Cover Image Scaler")
for mirror in mirrors:
data_source_name = mirror.DATA_SOURCE
data_source = DataSource.lookup(self._db, data_source_name)
self.data_source_ids.append(data_source.id)
def setup(self):
super(TestFeedbooksOPDSImporter, self).setup()
self.http = DummyHTTPClient()
self.metadata = DummyMetadataClient()
self.mirror = MockS3Uploader()
self.data_source = DataSource.lookup(self._db, DataSource.FEEDBOOKS)
# Create a default importer that's good enough for most tests.
self.collection, self.importer = self._importer()
def test_lookup_equivalent_isbns(self):
identifier = self._identifier(identifier_type=Identifier.OVERDRIVE_ID)
api = MockNoveListAPI.from_config(self._default_library)
# If there are no ISBN equivalents, it returns None.
eq_(None, api.lookup_equivalent_isbns(identifier))
source = DataSource.lookup(self._db, DataSource.OVERDRIVE)
identifier.equivalent_to(source, self._identifier(), strength=1)
self._db.commit()
eq_(None, api.lookup_equivalent_isbns(identifier))
# If there's an ISBN equivalent, but it doesn't result in metadata,
# it returns none.
isbn = self._identifier(identifier_type=Identifier.ISBN)
identifier.equivalent_to(source, isbn, strength=1)
self._db.commit()
api.responses.append(None)
eq_(None, api.lookup_equivalent_isbns(identifier))
# Create an API class that can mockout NoveListAPI.choose_best_metadata
class MockBestMetadataAPI(MockNoveListAPI):
choose_best_metadata_return = None
def choose_best_metadata(self, *args, **kwargs):
return self.choose_best_metadata_return
api = MockBestMetadataAPI.from_config(self._default_library)
# Give the identifier another ISBN equivalent.
isbn2 = self._identifier(identifier_type=Identifier.ISBN)
identifier.equivalent_to(source, isbn2, strength=1)
self._db.commit()
# Queue metadata responses for each ISBN lookup.
metadatas = [object(), object()]
api.responses.extend(metadatas)
# If choose_best_metadata returns None, the lookup returns None.
api.choose_best_metadata_return = (None, None)
eq_(None, api.lookup_equivalent_isbns(identifier))
# Lookup was performed for both ISBNs.
eq_([], api.responses)
# If choose_best_metadata returns a low confidence metadata, the
# lookup returns None.
api.responses.extend(metadatas)
api.choose_best_metadata_return = (metadatas[0], 0.33)
eq_(None, api.lookup_equivalent_isbns(identifier))
# If choose_best_metadata returns a high confidence metadata, the
# lookup returns the metadata.
api.responses.extend(metadatas)
api.choose_best_metadata_return = (metadatas[1], 0.67)
eq_(metadatas[1], api.lookup_equivalent_isbns(identifier))
def test_feed_includes_staff_rating(self):
work = self._work(with_open_access_download=True)
lp = work.license_pools[0]
staff_data_source = DataSource.lookup(self._db, DataSource.LIBRARY_STAFF)
lp.identifier.add_measurement(staff_data_source, Measurement.RATING, 3, weight=1000)
feed = AcquisitionFeed(self._db, "test", "url", [work], AdminAnnotator(None, self._default_library, test_mode=True))
[entry] = feedparser.parse(unicode(feed))['entries']
rating = entry['schema_rating']
eq_(3, float(rating['schema:ratingvalue']))
eq_(Measurement.RATING, rating['additionaltype'])
def __init__(self, _db, api=None, **kwargs):
input_identifier_types = [
Identifier.GUTENBERG_ID, Identifier.URI
]
output_source = DataSource.lookup(_db, DataSource.OCLC)
super(OCLCClassifyCoverageProvider, self).__init__(
"OCLC Classify Coverage Provider", input_identifier_types,
output_source)
self._db = _db
self.api = api or OCLCClassifyAPI(self._db)
def setup(self):
super(TestVendorIDModel, self).setup()
self.authenticator = DummyMilleniumPatronAPI()
self.model = AdobeVendorIDModel(self._db, self.authenticator,
self.TEST_NODE_VALUE)
self.data_source = DataSource.lookup(self._db, DataSource.ADOBE)
# Normally this test patron doesn't have an authorization identifier.
# Let's make sure there is one so it'll show up as the label.
self.bob_patron = self.authenticator.authenticated_patron(
self._db, dict(username="******", password="******"))
self.bob_patron.authorization_identifier = "5"
def test_facets(self):
# Normally we yield one FeaturedFacets object for each of the
# library's enabled entry points.
library = self._default_library
script = CacheOPDSGroupFeedPerLane(
self._db, manager=object(), cmd_args=[]
)
setting = library.setting(EntryPoint.ENABLED_SETTING)
setting.value = json.dumps(
[AudiobooksEntryPoint.INTERNAL_NAME,
EbooksEntryPoint.INTERNAL_NAME]
)
lane = self._lane()
audio_facets, ebook_facets = script.facets(lane)
eq_(AudiobooksEntryPoint, audio_facets.entrypoint)
eq_(EbooksEntryPoint, ebook_facets.entrypoint)
# The first entry point in the library's list of enabled entry
# points is treated as the default.
eq_(True, audio_facets.entrypoint_is_default)
eq_(audio_facets.entrypoint, list(library.entrypoints)[0])
eq_(False, ebook_facets.entrypoint_is_default)
for facets in (audio_facets, ebook_facets):
# The FeaturedFacets objects knows to feature works at the
# library's minimum quality level.
eq_(library.minimum_featured_quality,
facets.minimum_featured_quality)
# The FeaturedFacets object knows that custom lists are
# not in play.
eq_(False, facets.uses_customlists)
# The first entry point is treated as the default only for WorkLists
# that have no parent. When the WorkList has a parent, the selected
# entry point is treated as an explicit choice -- navigating downward
# in the lane hierarchy ratifies the default value.
sublane = self._lane(parent=lane)
f1, f2 = script.facets(sublane)
for f in f1, f2:
eq_(False, f.entrypoint_is_default)
# Make it look like the lane uses custom lists.
lane.list_datasource = DataSource.lookup(self._db, DataSource.OVERDRIVE)
# If the library has no enabled entry points, we yield one
# FeaturedFacets object with no particular entry point.
setting.value = json.dumps([])
no_entry_point, = script.facets(lane)
eq_(None, no_entry_point.entrypoint)
# The FeaturedFacets object knows that custom lists are in
# play.
eq_(True, no_entry_point.uses_customlists)
def process_item(self, identifier):
data_source = DataSource.lookup(
self._db, self.importer.data_source_name
)
try:
response = self.content_server.lookup([identifier])
except BadResponseException, e:
return CoverageFailure(
identifier,
e.message,
data_source
)
def test_new_isbns(self):
existing_id = self._identifier()
metadata = Metadata(
DataSource.lookup(self._db, DataSource.GUTENBERG),
identifiers=[
IdentifierData(type=Identifier.OCLC_WORK, identifier="abra"),
IdentifierData(type=existing_id.type, identifier=existing_id.identifier),
IdentifierData(type=Identifier.ISBN, identifier="kadabra"),
]
)
eq_(2, self.provider.new_isbns(metadata))
def setup(self):
super(TestMetadataUploadCoverageProvider, self).setup()
self.integration = self._external_integration(
ExternalIntegration.METADATA_WRANGLER,
goal=ExternalIntegration.METADATA_GOAL, url=self._url,
username=u'abc', password=u'def'
)
self.source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
self.collection = self._collection(
protocol=ExternalIntegration.BIBLIOTHECA, external_account_id=u'lib'
)
self.provider = self.create_provider()
def test_related_books(self):
# A book with no related books returns a ProblemDetail.
with temp_config() as config:
config['integrations'][Configuration.NOVELIST_INTEGRATION] = {}
with self.app.test_request_context('/'):
response = self.manager.work_controller.related(
self.datasource, self.identifier.type, self.identifier.identifier
)
eq_(404, response.status_code)
eq_("http://librarysimplified.org/terms/problem/unknown-lane", response.uri)
# Prep book with a book in its series and a recommendation.
self.lp.presentation_edition.series = "Around the World"
self.french_1.presentation_edition.series = "Around the World"
SessionManager.refresh_materialized_views(self._db)
source = DataSource.lookup(self._db, self.datasource)
metadata = Metadata(source)
mock_api = MockNoveListAPI()
metadata.recommendations = [self.english_2.license_pools[0].identifier]
mock_api.setup(metadata)
# A grouped feed is returned with both of these related books
with self.app.test_request_context('/'):
response = self.manager.work_controller.related(
self.datasource, self.identifier.type, self.identifier.identifier,
novelist_api=mock_api
)
eq_(200, response.status_code)
feed = feedparser.parse(response.data)
eq_(3, len(feed['entries']))
# One book is in the recommendations feed.
[e1] = [e for e in feed['entries'] if e['title'] == self.english_2.title]
[collection_link] = [link for link in e1['links'] if link['rel']=='collection']
eq_("Recommended Books", collection_link['title'])
work_url = "/works/%s/%s/%s/" % (self.datasource, self.identifier.type, self.identifier.identifier)
expected = urllib.quote(work_url + 'recommendations')
eq_(True, collection_link['href'].endswith(expected))
# Two books are in the series feed. The original work and its companion
[e2] = [e for e in feed['entries'] if e['title'] == self.french_1.title]
[collection_link] = [link for link in e2['links'] if link['rel']=='collection']
eq_("Around the World", collection_link['title'])
expected = urllib.quote(work_url + 'series')
eq_(True, collection_link['href'].endswith(expected))
[e3] = [e for e in feed['entries'] if e['title'] == self.english_1.title]
[collection_link] = [link for link in e3['links'] if link['rel']=='collection']
eq_("Around the World", collection_link['title'])
expected = urllib.quote(work_url + 'series')
eq_(True, collection_link['href'].endswith(expected))
def test_load_circulation_data(self):
# Create a directory import script with an empty mock filesystem.
script = MockDirectoryImportScript(self._db, {})
identifier = self._identifier(Identifier.GUTENBERG_ID, "2345")
gutenberg = DataSource.lookup(self._db, DataSource.GUTENBERG)
mirror = MockS3Uploader()
args = (identifier, gutenberg, "ebooks", mirror, "Name of book",
"rights URI")
# There is nothing on the mock filesystem, so in this case
# load_circulation_data returns None.
eq_(None, script.load_circulation_data(*args))
# But we tried.
eq_(
('2345', 'ebooks', Representation.COMMON_EBOOK_EXTENSIONS,
'ebook file'),
script._locate_file_args
)
# Try another script that has a populated mock filesystem.
mock_filesystem = {
'ebooks' : (
'book.epub', Representation.EPUB_MEDIA_TYPE, "I'm an EPUB."
)
}
script = MockDirectoryImportScript(self._db, mock_filesystem)
# Now _locate_file finds something on the mock filesystem, and
# load_circulation_data loads it into a fully populated
# CirculationData object.
circulation = script.load_circulation_data(*args)
eq_(identifier, circulation.primary_identifier(self._db))
eq_(gutenberg, circulation.data_source(self._db))
eq_("rights URI", circulation.default_rights_uri)
# The CirculationData has an open-access link associated with it.
[link] = circulation.links
eq_(Hyperlink.OPEN_ACCESS_DOWNLOAD, link.rel)
assert link.href.endswith(
'/test.content.bucket/Gutenberg/Gutenberg+ID/2345/Name+of+book.epub'
)
eq_(Representation.EPUB_MEDIA_TYPE, link.media_type)
eq_("I'm an EPUB.", link.content)
# This open-access link will be made available through a
# delivery mechanism described by this FormatData.
[format] = circulation.formats
eq_(link, format.link)
eq_(link.media_type, format.content_type)
eq_(DeliveryMechanism.NO_DRM, format.drm_scheme)
def source(self):
return DataSource.lookup(self._db, DataSource.OCLC_LINKED_DATA)
def __init__(self, db, uploader=None):
self._db = db
self.data_source = DataSource.lookup(self._db, self.DATA_SOURCE)
self.uploader = uploader or S3Uploader.from_config(self._db)
self.log = logging.getLogger("Cover Image Mirror")
def test_import(self):
feed = self.get_data("biblioboard_mini_feed.opds")
data_source = DataSource.lookup(self._db,
"Biblioboard",
autocreate=True)
collection = MockOPDSForDistributorsAPI.mock_collection(self._db)
collection.external_integration.set_setting(
Collection.DATA_SOURCE_NAME_SETTING, data_source.name)
class MockMetadataClient(object):
def canonicalize_author_name(self, identifier,
working_display_name):
return working_display_name
metadata_client = MockMetadataClient()
importer = OPDSForDistributorsImporter(
self._db,
collection=collection,
metadata_client=metadata_client,
)
imported_editions, imported_pools, imported_works, failures = (
importer.import_from_feed(feed))
# This importer works the same as the base OPDSImporter, except that
# it adds delivery mechanisms for books with epub acquisition links
# and sets pools' licenses_owned and licenses_available.
# Both works were created, since we can use their acquisition links
# to give copies to patrons.
[camelot, southern] = sorted(imported_works, key=lambda x: x.title)
# Each work has a license pool.
[camelot_pool] = camelot.license_pools
[southern_pool] = southern.license_pools
now = datetime.datetime.utcnow()
for pool in [camelot_pool, southern_pool]:
eq_(False, pool.open_access)
eq_(RightsStatus.IN_COPYRIGHT,
pool.delivery_mechanisms[0].rights_status.uri)
eq_(Representation.EPUB_MEDIA_TYPE,
pool.delivery_mechanisms[0].delivery_mechanism.content_type)
eq_(DeliveryMechanism.BEARER_TOKEN,
pool.delivery_mechanisms[0].delivery_mechanism.drm_scheme)
eq_(1, pool.licenses_owned)
eq_(1, pool.licenses_available)
assert (pool.work.last_update_time - now).total_seconds() <= 2
[camelot_acquisition_link] = [
l for l in camelot_pool.identifier.links
if l.rel == Hyperlink.GENERIC_OPDS_ACQUISITION and l.resource.
representation.media_type == Representation.EPUB_MEDIA_TYPE
]
camelot_acquisition_url = camelot_acquisition_link.resource.representation.url
eq_(
"https://library.biblioboard.com/ext/api/media/04377e87-ab69-41c8-a2a4-812d55dc0952/assets/content.epub",
camelot_acquisition_url)
[southern_acquisition_link] = [
l for l in southern_pool.identifier.links
if l.rel == Hyperlink.GENERIC_OPDS_ACQUISITION and l.resource.
representation.media_type == Representation.EPUB_MEDIA_TYPE
]
southern_acquisition_url = southern_acquisition_link.resource.representation.url
eq_(
"https://library.biblioboard.com/ext/api/media/04da95cd-6cfc-4e82-810f-121d418b6963/assets/content.epub",
southern_acquisition_url)
def change_book_cover(self, identifier_type, identifier, mirrors=None):
"""Save a new book cover based on the submitted form."""
self.require_librarian(flask.request.library)
data_source = DataSource.lookup(self._db, DataSource.LIBRARY_STAFF)
work = self.load_work(flask.request.library, identifier_type,
identifier)
if isinstance(work, ProblemDetail):
return work
rights_uri = flask.request.form.get("rights_status")
rights_explanation = flask.request.form.get("rights_explanation")
if not rights_uri:
return INVALID_IMAGE.detailed(
_("You must specify the image's license."))
collection = self._get_collection_from_pools(identifier_type,
identifier)
if isinstance(collection, ProblemDetail):
return collection
# Look for an appropriate mirror to store this cover image. Since the
# mirror should be used for covers, we don't need a mirror for books.
mirrors = mirrors or dict(covers_mirror=MirrorUploader.for_collection(
collection, ExternalIntegrationLink.COVERS),
books_mirror=None)
if not mirrors.get(ExternalIntegrationLink.COVERS):
return INVALID_CONFIGURATION_OPTION.detailed(
_("Could not find a storage integration for uploading the cover."
))
image = self.generate_cover_image(work, identifier_type, identifier)
if isinstance(image, ProblemDetail):
return image
original, derivation_settings, cover_href, cover_rights_explanation = self._original_cover_info(
image, work, data_source, rights_uri, rights_explanation)
buffer = StringIO()
image.save(buffer, format="PNG")
content = buffer.getvalue()
if not cover_href:
cover_href = Hyperlink.generic_uri(
data_source,
work.presentation_edition.primary_identifier,
Hyperlink.IMAGE,
content=content)
cover_data = LinkData(
Hyperlink.IMAGE,
href=cover_href,
media_type=Representation.PNG_MEDIA_TYPE,
content=content,
rights_uri=rights_uri,
rights_explanation=cover_rights_explanation,
original=original,
transformation_settings=derivation_settings,
)
presentation_policy = PresentationCalculationPolicy(
choose_edition=False,
set_edition_metadata=False,
classify=False,
choose_summary=False,
calculate_quality=False,
choose_cover=True,
regenerate_opds_entries=True,
regenerate_marc_record=True,
update_search_index=False,
)
replacement_policy = ReplacementPolicy(
links=True,
# link_content is false because we already have the content.
# We don't want the metadata layer to try to fetch it again.
link_content=False,
mirrors=mirrors,
presentation_calculation_policy=presentation_policy,
)
metadata = Metadata(data_source, links=[cover_data])
metadata.apply(work.presentation_edition,
collection,
replace=replacement_policy)
# metadata.apply only updates the edition, so we also need
# to update the work.
work.calculate_presentation(policy=presentation_policy)
return Response(_("Success"), 200)
def setup_method(self):
super(TestProQuestCredentialManager, self).setup_method()
self._data_source = DataSource.lookup(
self._db, DataSource.PROQUEST, autocreate=True
)
def edit_classifications(self, identifier_type, identifier):
"""Edit a work's audience, target age, fiction status, and genres."""
self.require_librarian(flask.request.library)
work = self.load_work(flask.request.library, identifier_type,
identifier)
if isinstance(work, ProblemDetail):
return work
staff_data_source = DataSource.lookup(self._db,
DataSource.LIBRARY_STAFF)
# Previous staff classifications
primary_identifier = work.presentation_edition.primary_identifier
old_classifications = self._db \
.query(Classification) \
.join(Subject) \
.filter(
Classification.identifier == primary_identifier,
Classification.data_source == staff_data_source
)
old_genre_classifications = old_classifications \
.filter(Subject.genre_id != None)
old_staff_genres = [
c.subject.genre.name for c in old_genre_classifications
if c.subject.genre
]
old_computed_genres = [
work_genre.genre.name for work_genre in work.work_genres
]
# New genres should be compared to previously computed genres
new_genres = flask.request.form.getlist("genres")
genres_changed = sorted(new_genres) != sorted(old_computed_genres)
# Update audience
new_audience = flask.request.form.get("audience")
if new_audience != work.audience:
# Delete all previous staff audience classifications
for c in old_classifications:
if c.subject.type == Subject.FREEFORM_AUDIENCE:
self._db.delete(c)
# Create a new classification with a high weight
primary_identifier.classify(
data_source=staff_data_source,
subject_type=Subject.FREEFORM_AUDIENCE,
subject_identifier=new_audience,
weight=WorkController.STAFF_WEIGHT,
)
# Update target age if present
new_target_age_min = flask.request.form.get("target_age_min")
new_target_age_min = int(
new_target_age_min) if new_target_age_min else None
new_target_age_max = flask.request.form.get("target_age_max")
new_target_age_max = int(
new_target_age_max) if new_target_age_max else None
if new_target_age_max < new_target_age_min:
return INVALID_EDIT.detailed(
_("Minimum target age must be less than maximum target age."))
if work.target_age:
old_target_age_min = work.target_age.lower
old_target_age_max = work.target_age.upper
else:
old_target_age_min = None
old_target_age_max = None
if new_target_age_min != old_target_age_min or new_target_age_max != old_target_age_max:
# Delete all previous staff target age classifications
for c in old_classifications:
if c.subject.type == Subject.AGE_RANGE:
self._db.delete(c)
# Create a new classification with a high weight - higher than audience
if new_target_age_min and new_target_age_max:
age_range_identifier = "%s-%s" % (new_target_age_min,
new_target_age_max)
primary_identifier.classify(
data_source=staff_data_source,
subject_type=Subject.AGE_RANGE,
subject_identifier=age_range_identifier,
weight=WorkController.STAFF_WEIGHT * 100,
)
# Update fiction status
# If fiction status hasn't changed but genres have changed,
# we still want to ensure that there's a staff classification
new_fiction = True if flask.request.form.get(
"fiction") == "fiction" else False
if new_fiction != work.fiction or genres_changed:
# Delete previous staff fiction classifications
for c in old_classifications:
if c.subject.type == Subject.SIMPLIFIED_FICTION_STATUS:
self._db.delete(c)
# Create a new classification with a high weight (higher than genre)
fiction_term = "Fiction" if new_fiction else "Nonfiction"
classification = primary_identifier.classify(
data_source=staff_data_source,
subject_type=Subject.SIMPLIFIED_FICTION_STATUS,
subject_identifier=fiction_term,
weight=WorkController.STAFF_WEIGHT,
)
classification.subject.fiction = new_fiction
# Update genres
# make sure all new genres are legit
for name in new_genres:
genre, is_new = Genre.lookup(self._db, name)
if not isinstance(genre, Genre):
return GENRE_NOT_FOUND
if genres[name].is_fiction is not None and genres[
name].is_fiction != new_fiction:
return INCOMPATIBLE_GENRE
if name == "Erotica" and new_audience != "Adults Only":
return EROTICA_FOR_ADULTS_ONLY
if genres_changed:
# delete existing staff classifications for genres that aren't being kept
for c in old_genre_classifications:
if c.subject.genre.name not in new_genres:
self._db.delete(c)
# add new staff classifications for new genres
for genre in new_genres:
if genre not in old_staff_genres:
classification = primary_identifier.classify(
data_source=staff_data_source,
subject_type=Subject.SIMPLIFIED_GENRE,
subject_identifier=genre,
weight=WorkController.STAFF_WEIGHT)
# add NONE genre classification if we aren't keeping any genres
if len(new_genres) == 0:
primary_identifier.classify(
data_source=staff_data_source,
subject_type=Subject.SIMPLIFIED_GENRE,
subject_identifier=SimplifiedGenreClassifier.NONE,
weight=WorkController.STAFF_WEIGHT)
else:
# otherwise delete existing NONE genre classification
none_classifications = self._db \
.query(Classification) \
.join(Subject) \
.filter(
Classification.identifier == primary_identifier,
Subject.identifier == SimplifiedGenreClassifier.NONE
) \
.all()
for c in none_classifications:
self._db.delete(c)
# Update presentation
policy = PresentationCalculationPolicy(classify=True,
regenerate_opds_entries=True,
regenerate_marc_record=True,
update_search_index=True)
work.calculate_presentation(policy=policy)
return Response("", 200)
def edit(self, identifier_type, identifier):
"""Edit a work's metadata."""
self.require_librarian(flask.request.library)
# TODO: It would be nice to use the metadata layer for this, but
# this code handles empty values differently than other metadata
# sources. When a staff member deletes a value, that indicates
# they think it should be empty. This needs to be indicated in the
# db so that it can overrule other data sources that set a value,
# unlike other sources which set empty fields to None.
work = self.load_work(flask.request.library, identifier_type,
identifier)
if isinstance(work, ProblemDetail):
return work
changed = False
staff_data_source = DataSource.lookup(self._db,
DataSource.LIBRARY_STAFF)
primary_identifier = work.presentation_edition.primary_identifier
staff_edition, is_new = get_one_or_create(
self._db,
Edition,
primary_identifier_id=primary_identifier.id,
data_source_id=staff_data_source.id)
self._db.expire(primary_identifier)
new_title = flask.request.form.get("title")
if new_title and work.title != new_title:
staff_edition.title = unicode(new_title)
changed = True
new_subtitle = flask.request.form.get("subtitle")
if work.subtitle != new_subtitle:
if work.subtitle and not new_subtitle:
new_subtitle = NO_VALUE
staff_edition.subtitle = unicode(new_subtitle)
changed = True
# The form data includes roles and names for contributors in the same order.
new_contributor_roles = flask.request.form.getlist("contributor-role")
new_contributor_names = [
unicode(n) for n in flask.request.form.getlist("contributor-name")
]
# The first author in the form is considered the primary author, even
# though there's no separate MARC code for that.
for i, role in enumerate(new_contributor_roles):
if role == Contributor.AUTHOR_ROLE:
new_contributor_roles[i] = Contributor.PRIMARY_AUTHOR_ROLE
break
roles_and_names = zip(new_contributor_roles, new_contributor_names)
# Remove any contributions that weren't in the form, and remove contributions
# that already exist from the list so they won't be added again.
deleted_contributions = False
for contribution in staff_edition.contributions:
if (contribution.role, contribution.contributor.display_name
) not in roles_and_names:
self._db.delete(contribution)
deleted_contributions = True
changed = True
else:
roles_and_names.remove(
(contribution.role, contribution.contributor.display_name))
if deleted_contributions:
# Ensure the staff edition's contributions are up-to-date when
# calculating the presentation edition later.
self._db.refresh(staff_edition)
# Any remaining roles and names are new contributions.
for role, name in roles_and_names:
# There may be one extra role at the end from the input for
# adding a contributor, in which case it will have no
# corresponding name and can be ignored.
if name:
if role not in Contributor.MARC_ROLE_CODES.keys():
self._db.rollback()
return UNKNOWN_ROLE.detailed(
_("Role %(role)s is not one of the known contributor roles.",
role=role))
contributor = staff_edition.add_contributor(name=name,
roles=[role])
contributor.display_name = name
changed = True
new_series = flask.request.form.get("series")
if work.series != new_series:
if work.series and not new_series:
new_series = NO_VALUE
staff_edition.series = unicode(new_series)
changed = True
new_series_position = flask.request.form.get("series_position")
if new_series_position != None and new_series_position != '':
try:
new_series_position = int(new_series_position)
except ValueError:
self._db.rollback()
return INVALID_SERIES_POSITION
else:
new_series_position = None
if work.series_position != new_series_position:
if work.series_position and new_series_position == None:
new_series_position = NO_NUMBER
staff_edition.series_position = new_series_position
changed = True
new_medium = flask.request.form.get("medium")
if new_medium:
if new_medium not in Edition.medium_to_additional_type.keys():
self._db.rollback()
return UNKNOWN_MEDIUM.detailed(
_("Medium %(medium)s is not one of the known media.",
medium=new_medium))
staff_edition.medium = new_medium
changed = True
new_language = flask.request.form.get("language")
if new_language != None and new_language != '':
new_language = LanguageCodes.string_to_alpha_3(new_language)
if not new_language:
self._db.rollback()
return UNKNOWN_LANGUAGE
else:
new_language = None
if new_language != staff_edition.language:
staff_edition.language = new_language
changed = True
new_publisher = flask.request.form.get("publisher")
if new_publisher != staff_edition.publisher:
if staff_edition.publisher and not new_publisher:
new_publisher = NO_VALUE
staff_edition.publisher = unicode(new_publisher)
changed = True
new_imprint = flask.request.form.get("imprint")
if new_imprint != staff_edition.imprint:
if staff_edition.imprint and not new_imprint:
new_imprint = NO_VALUE
staff_edition.imprint = unicode(new_imprint)
changed = True
new_issued = flask.request.form.get("issued")
if new_issued != None and new_issued != '':
try:
new_issued = datetime.strptime(new_issued, '%Y-%m-%d')
except ValueError:
self._db.rollback()
return INVALID_DATE_FORMAT
else:
new_issued = None
if new_issued != staff_edition.issued:
staff_edition.issued = new_issued
changed = True
# TODO: This lets library staff add a 1-5 rating, which is used in the
# quality calculation. However, this doesn't work well if there are any
# other measurements that contribute to the quality. The form will show
# the calculated quality rather than the staff rating, which will be
# confusing. It might also be useful to make it more clear how this
# relates to the quality threshold in the library settings.
changed_rating = False
new_rating = flask.request.form.get("rating")
if new_rating != None and new_rating != '':
try:
new_rating = float(new_rating)
except ValueError:
self._db.rollback()
return INVALID_RATING
scale = Measurement.RATING_SCALES[DataSource.LIBRARY_STAFF]
if new_rating < scale[0] or new_rating > scale[1]:
self._db.rollback()
return INVALID_RATING.detailed(
_("The rating must be a number between %(low)s and %(high)s.",
low=scale[0],
high=scale[1]))
if (new_rating - scale[0]) / (scale[1] - scale[0]) != work.quality:
primary_identifier.add_measurement(
staff_data_source,
Measurement.RATING,
new_rating,
weight=WorkController.STAFF_WEIGHT)
changed = True
changed_rating = True
changed_summary = False
new_summary = flask.request.form.get("summary") or ""
if new_summary != work.summary_text:
old_summary = None
if work.summary and work.summary.data_source == staff_data_source:
old_summary = work.summary
work.presentation_edition.primary_identifier.add_link(
Hyperlink.DESCRIPTION,
None,
staff_data_source,
content=new_summary)
# Delete previous staff summary
if old_summary:
for link in old_summary.links:
self._db.delete(link)
self._db.delete(old_summary)
changed = True
changed_summary = True
if changed:
# Even if the presentation doesn't visibly change, we want
# to regenerate the OPDS entries and update the search
# index for the work, because that might be the 'real'
# problem the user is trying to fix.
policy = PresentationCalculationPolicy(
classify=True,
regenerate_opds_entries=True,
regenerate_marc_record=True,
update_search_index=True,
calculate_quality=changed_rating,
choose_summary=changed_summary,
)
work.calculate_presentation(policy=policy)
return Response("", 200)
def data_source(self):
return DataSource.lookup(self._db, DataSource.ADOBE)
def test_create_record(self):
work = self._work(
with_license_pool=True,
title="old title",
authors=["old author"],
data_source_name=DataSource.OVERDRIVE,
)
annotator = Annotator()
# The record isn't cached yet, so a new record is created and cached.
assert None == work.marc_record
record = MARCExporter.create_record(work, annotator)
[title_field] = record.get_fields("245")
assert "old title" == title_field.get_subfields("a")[0]
[author_field] = record.get_fields("100")
assert "author, old" == author_field.get_subfields("a")[0]
[distributor_field] = record.get_fields("264")
assert DataSource.OVERDRIVE == distributor_field.get_subfields("b")[0]
cached = work.marc_record
assert "old title" in cached
assert "author, old" in cached
# The distributor isn't part of the cached record.
assert DataSource.OVERDRIVE not in cached
work.presentation_edition.title = "new title"
work.presentation_edition.sort_author = "author, new"
new_data_source = DataSource.lookup(self._db, DataSource.BIBLIOTHECA)
work.license_pools[0].data_source = new_data_source
# Now that the record is cached, creating a record will
# use the cache. Distributor will be updated since it's
# not part of the cached record.
record = MARCExporter.create_record(work, annotator)
[title_field] = record.get_fields("245")
assert "old title" == title_field.get_subfields("a")[0]
[author_field] = record.get_fields("100")
assert "author, old" == author_field.get_subfields("a")[0]
[distributor_field] = record.get_fields("264")
assert DataSource.BIBLIOTHECA == distributor_field.get_subfields(
"b")[0]
# But we can force an update to the cached record.
record = MARCExporter.create_record(work, annotator, force_create=True)
[title_field] = record.get_fields("245")
assert "new title" == title_field.get_subfields("a")[0]
[author_field] = record.get_fields("100")
assert "author, new" == author_field.get_subfields("a")[0]
[distributor_field] = record.get_fields("264")
assert DataSource.BIBLIOTHECA == distributor_field.get_subfields(
"b")[0]
cached = work.marc_record
assert "old title" not in cached
assert "author, old" not in cached
assert "new title" in cached
assert "author, new" in cached
# If we pass in an integration, it's passed along to the annotator.
integration = self._integration()
class MockAnnotator(Annotator):
integration = None
def annotate_work_record(self, work, pool, edition, identifier,
record, integration):
self.integration = integration
annotator = MockAnnotator()
record = MARCExporter.create_record(work,
annotator,
integration=integration)
assert integration == annotator.integration
def source(self):
return DataSource.lookup(self._db, DataSource.ODILO)
def source(self):
return DataSource.lookup(_db, DataSource.NYT)
def test_create_lanes_for_large_collection(self):
languages = ['eng', 'spa']
create_lanes_for_large_collection(self._db, self._default_library,
languages)
lanes = self._db.query(Lane).filter(Lane.parent_id == None).order_by(
Lane.priority).all()
# We have five top-level lanes.
eq_(5, len(lanes))
eq_([
'Fiction', 'Nonfiction', 'Young Adult Fiction',
'Young Adult Nonfiction', 'Children and Middle Grade'
], [x.display_name for x in lanes])
for lane in lanes:
eq_(self._default_library, lane.library)
# They all are restricted to English and Spanish.
eq_(x.languages, languages)
# They have no restrictions on media type -- that's handled
# with entry points.
eq_(None, x.media)
eq_([
'Fiction', 'Nonfiction', 'Young Adult Fiction',
'Young Adult Nonfiction', 'Children and Middle Grade'
], [x.display_name for x in lanes])
# The Adult Fiction and Adult Nonfiction lanes reproduce the
# genre structure found in the genre definitions.
fiction, nonfiction = lanes[0:2]
[sf] = [
x for x in fiction.sublanes if 'Science Fiction' in x.display_name
]
[periodicals] = [
x for x in nonfiction.sublanes if 'Periodicals' in x.display_name
]
eq_(True, sf.fiction)
eq_("Science Fiction", sf.display_name)
assert 'Science Fiction' in [genre.name for genre in sf.genres]
[nonfiction_humor
] = [x for x in nonfiction.sublanes if 'Humor' in x.display_name]
eq_(False, nonfiction_humor.fiction)
[fiction_humor
] = [x for x in fiction.sublanes if 'Humor' in x.display_name]
eq_(True, fiction_humor.fiction)
[space_opera
] = [x for x in sf.sublanes if 'Space Opera' in x.display_name]
eq_(True, sf.fiction)
eq_("Space Opera", space_opera.display_name)
eq_(["Space Opera"], [genre.name for genre in space_opera.genres])
[history
] = [x for x in nonfiction.sublanes if 'History' in x.display_name]
eq_(False, history.fiction)
eq_("History", history.display_name)
assert 'History' in [genre.name for genre in history.genres]
[european_history] = [
x for x in history.sublanes if 'European History' in x.display_name
]
assert 'European History' in [
genre.name for genre in european_history.genres
]
# Delete existing lanes.
for lane in self._db.query(Lane).filter(
Lane.library_id == self._default_library.id):
self._db.delete(lane)
# If there's an NYT Best Sellers integration and we create the lanes again...
integration, ignore = create(self._db,
ExternalIntegration,
goal=ExternalIntegration.METADATA_GOAL,
protocol=ExternalIntegration.NYT)
create_lanes_for_large_collection(self._db, self._default_library,
languages)
lanes = self._db.query(Lane).filter(Lane.parent_id == None).order_by(
Lane.priority).all()
# Now we have six top-level lanes, with best sellers at the beginning.
eq_([
u'Best Sellers', 'Fiction', 'Nonfiction', 'Young Adult Fiction',
'Young Adult Nonfiction', 'Children and Middle Grade'
], [x.display_name for x in lanes])
# Each sublane other than best sellers also contains a best sellers lane.
for sublane in lanes[1:]:
best_sellers = sublane.visible_children[0]
eq_("Best Sellers", best_sellers.display_name)
# The best sellers lane has a data source.
nyt_data_source = DataSource.lookup(self._db, DataSource.NYT)
eq_(nyt_data_source, lanes[0].list_datasource)
def data_source(self):
"""Use the collection's name as the data source name."""
return DataSource.lookup(self._db,
self.collection.name,
autocreate=True)
def test_annotate_metadata(self):
"""Verify that annotate_metadata calls load_circulation_data
and load_cover_link appropriately.
"""
# First, test an unsuccessful annotation.
class MockNoCirculationData(DirectoryImportScript):
"""Do nothing when load_circulation_data is called. Explode if
load_cover_link is called.
"""
def load_circulation_data(self, *args):
self.load_circulation_data_args = args
return None
def load_cover_link(self, *args):
raise Exception("Explode!")
gutenberg = DataSource.lookup(self._db, DataSource.GUTENBERG)
identifier = IdentifierData(Identifier.GUTENBERG_ID, "11111")
identifier_obj, ignore = identifier.load(self._db)
metadata = Metadata(
title=self._str,
data_source=gutenberg,
primary_identifier=identifier
)
mirror = object()
policy = ReplacementPolicy(mirror=mirror)
cover_directory = object()
ebook_directory = object()
rights_uri = object()
script = MockNoCirculationData(self._db)
args = (metadata, policy, cover_directory, ebook_directory, rights_uri)
script.annotate_metadata(*args)
# load_circulation_data was called.
eq_(
(identifier_obj, gutenberg, ebook_directory, mirror,
metadata.title, rights_uri),
script.load_circulation_data_args
)
# But because load_circulation_data returned None,
# metadata.circulation_data was not modified and
# load_cover_link was not called (which would have raised an
# exception).
eq_(None, metadata.circulation)
# Test a successful annotation with no cover image.
class MockNoCoverLink(DirectoryImportScript):
"""Return an object when load_circulation_data is called.
Do nothing when load_cover_link is called.
"""
def load_circulation_data(self, *args):
return "Some circulation data"
def load_cover_link(self, *args):
self.load_cover_link_args = args
return None
script = MockNoCoverLink(self._db)
script.annotate_metadata(*args)
# The Metadata object was annotated with the return value of
# load_circulation_data.
eq_("Some circulation data", metadata.circulation)
# load_cover_link was called.
eq_(
(identifier_obj, gutenberg, cover_directory, mirror),
script.load_cover_link_args
)
# But since it provided no cover link, metadata.links was empty.
eq_([], metadata.links)
# Finally, test a completely successful annotation.
class MockWithCoverLink(DirectoryImportScript):
"""Mock success for both load_circulation_data
and load_cover_link.
"""
def load_circulation_data(self, *args):
return "Some circulation data"
def load_cover_link(self, *args):
return "A cover link"
metadata.circulation = None
script = MockWithCoverLink(self._db)
script.annotate_metadata(*args)
eq_("Some circulation data", metadata.circulation)
eq_(['A cover link'], metadata.links)
def _quality(self, value, weight=1):
# The only source we recognize for quality scores is the metadata
# wrangler.
source = DataSource.lookup(self._db, DataSource.METADATA_WRANGLER)
return self._measurement(Measurement.QUALITY, value, source, weight)
def edition_query(self):
gutenberg = DataSource.lookup(self._db, DataSource.GUTENBERG)
return self._db.query(Edition).filter(Edition.data_source == gutenberg)
def sync_bookshelf(self, patron, pin):
# Get the external view of the patron's current state.
remote_loans, remote_holds, complete = self.patron_activity(
patron, pin)
# Get our internal view of the patron's current state.
__transaction = self._db.begin_nested()
local_loans = self.local_loans(patron)
local_holds = self.local_holds(patron)
now = datetime.datetime.utcnow()
local_loans_by_identifier = {}
local_holds_by_identifier = {}
for l in local_loans:
if not l.license_pool:
self.log.error("Active loan with no license pool!")
continue
i = l.license_pool.identifier
if not i:
self.log.error(
"Active loan on license pool %s, which has no identifier!",
l.license_pool)
continue
key = (i.type, i.identifier)
local_loans_by_identifier[key] = l
for h in local_holds:
if not h.license_pool:
self.log.error("Active hold with no license pool!")
continue
i = h.license_pool.identifier
if not i:
self.log.error(
"Active hold on license pool %r, which has no identifier!",
h.license_pool)
continue
key = (i.type, i.identifier)
local_holds_by_identifier[key] = h
active_loans = []
active_holds = []
for loan in remote_loans:
# This is a remote loan. Find or create the corresponding
# local loan.
source_name = self.identifier_type_to_data_source_name[
loan.identifier_type]
source = DataSource.lookup(self._db, source_name)
key = (loan.identifier_type, loan.identifier)
pool, ignore = LicensePool.for_foreign_id(self._db, source,
loan.identifier_type,
loan.identifier)
start = loan.start_date or now
end = loan.end_date
local_loan, new = pool.loan_to(patron, start, end)
active_loans.append(local_loan)
# Remove the local loan from the list so that we don't
# delete it later.
if key in local_loans_by_identifier:
del local_loans_by_identifier[key]
for hold in remote_holds:
# This is a remote hold. Find or create the corresponding
# local hold.
key = (hold.identifier_type, hold.identifier)
source_name = self.identifier_type_to_data_source_name[
hold.identifier_type]
source = DataSource.lookup(self._db, source_name)
pool, ignore = LicensePool.for_foreign_id(self._db, source,
hold.identifier_type,
hold.identifier)
start = hold.start_date or now
end = hold.end_date
position = hold.hold_position
local_hold, new = pool.on_hold_to(patron, start, end, position)
active_holds.append(local_hold)
# Remove the local hold from the list so that we don't
# delete it later.
if key in local_holds_by_identifier:
del local_holds_by_identifier[key]
# We only want to delete local loans and holds if we were able to
# successfully sync with all the providers. If there was an error,
# the provider might still know about a loan or hold that we don't
# have in the remote lists.
if complete:
# Every loan remaining in loans_by_identifier is a hold that
# the provider doesn't know about. This usually means it's expired
# and we should get rid of it, but it's possible the patron is
# borrowing a book and syncing their bookshelf at the same time,
# and the local loan was created after we got the remote loans.
# If the loan's start date is less than a minute ago, we'll keep it.
for loan in local_loans_by_identifier.values():
if loan.license_pool.data_source.id in self.data_source_ids_for_sync:
one_minute_ago = datetime.datetime.utcnow(
) - datetime.timedelta(minutes=1)
if loan.start < one_minute_ago:
logging.info(
"In sync_bookshelf for patron %s, deleting loan %d (patron %s)"
% (patron.authorization_identifier, loan.id,
loan.patron.authorization_identifier))
self._db.delete(loan)
else:
logging.info(
"In sync_bookshelf for patron %s, found local loan %d created in the past minute that wasn't in remote loans"
% (patron.authorization_identifier, loan.id))
# Every hold remaining in holds_by_identifier is a hold that
# the provider doesn't know about, which means it's expired
# and we should get rid of it.
for hold in local_holds_by_identifier.values():
if hold.license_pool.data_source.id in self.data_source_ids_for_sync:
self._db.delete(hold)
__transaction.commit()
return active_loans, active_holds
def create_lanes_for_large_collection(_db, library, languages, priority=0):
"""Ensure that the lanes appropriate to a large collection are all
present.
This means:
* A "%(language)s Adult Fiction" lane containing sublanes for each fiction
genre.
* A "%(language)s Adult Nonfiction" lane containing sublanes for
each nonfiction genre.
* A "%(language)s YA Fiction" lane containing sublanes for the
most popular YA fiction genres.
* A "%(language)s YA Nonfiction" lane containing sublanes for the
most popular YA fiction genres.
* A "%(language)s Children and Middle Grade" lane containing
sublanes for childrens' books at different age levels.
:param library: Newly created lanes will be associated with this
library.
:param languages: Newly created lanes will contain only books
in these languages.
:return: A list of top-level Lane objects.
TODO: If there are multiple large collections, their top-level lanes do
not have distinct display names.
"""
if isinstance(languages, basestring):
languages = [languages]
ADULT = Classifier.AUDIENCES_ADULT
YA = [Classifier.AUDIENCE_YOUNG_ADULT]
CHILDREN = [Classifier.AUDIENCE_CHILDREN]
common_args = dict(languages=languages, media=None)
adult_common_args = dict(common_args)
adult_common_args['audiences'] = ADULT
include_best_sellers = False
nyt_data_source = DataSource.lookup(_db, DataSource.NYT)
nyt_integration = get_one(
_db,
ExternalIntegration,
goal=ExternalIntegration.METADATA_GOAL,
protocol=ExternalIntegration.NYT,
)
if nyt_integration:
include_best_sellers = True
language_identifier = LanguageCodes.name_for_languageset(languages)
sublanes = []
if include_best_sellers:
best_sellers, ignore = create(_db,
Lane,
library=library,
display_name="Best Sellers",
priority=priority,
**common_args)
priority += 1
best_sellers.list_datasource = nyt_data_source
sublanes.append(best_sellers)
adult_fiction_sublanes = []
adult_fiction_priority = 0
if include_best_sellers:
adult_fiction_best_sellers, ignore = create(
_db,
Lane,
library=library,
display_name="Best Sellers",
fiction=True,
priority=adult_fiction_priority,
**adult_common_args)
adult_fiction_priority += 1
adult_fiction_best_sellers.list_datasource = nyt_data_source
adult_fiction_sublanes.append(adult_fiction_best_sellers)
for genre in fiction_genres:
if isinstance(genre, basestring):
genre_name = genre
else:
genre_name = genre.get("name")
genre_lane = lane_from_genres(_db,
library, [genre],
priority=adult_fiction_priority,
**adult_common_args)
adult_fiction_priority += 1
adult_fiction_sublanes.append(genre_lane)
adult_fiction, ignore = create(_db,
Lane,
library=library,
display_name="Fiction",
genres=[],
sublanes=adult_fiction_sublanes,
fiction=True,
priority=priority,
**adult_common_args)
priority += 1
sublanes.append(adult_fiction)
adult_nonfiction_sublanes = []
adult_nonfiction_priority = 0
if include_best_sellers:
adult_nonfiction_best_sellers, ignore = create(
_db,
Lane,
library=library,
display_name="Best Sellers",
fiction=False,
priority=adult_nonfiction_priority,
**adult_common_args)
adult_nonfiction_priority += 1
adult_nonfiction_best_sellers.list_datasource = nyt_data_source
adult_nonfiction_sublanes.append(adult_nonfiction_best_sellers)
for genre in nonfiction_genres:
# "Life Strategies" is a YA-specific genre that should not be
# included in the Adult Nonfiction lane.
if genre != genres.Life_Strategies:
if isinstance(genre, basestring):
genre_name = genre
else:
genre_name = genre.get("name")
genre_lane = lane_from_genres(_db,
library, [genre],
priority=adult_nonfiction_priority,
**adult_common_args)
adult_nonfiction_priority += 1
adult_nonfiction_sublanes.append(genre_lane)
adult_nonfiction, ignore = create(_db,
Lane,
library=library,
display_name="Nonfiction",
genres=[],
sublanes=adult_nonfiction_sublanes,
fiction=False,
priority=priority,
**adult_common_args)
priority += 1
sublanes.append(adult_nonfiction)
ya_common_args = dict(common_args)
ya_common_args['audiences'] = YA
ya_fiction, ignore = create(_db,
Lane,
library=library,
display_name="Young Adult Fiction",
genres=[],
fiction=True,
sublanes=[],
priority=priority,
**ya_common_args)
priority += 1
sublanes.append(ya_fiction)
ya_fiction_priority = 0
if include_best_sellers:
ya_fiction_best_sellers, ignore = create(_db,
Lane,
library=library,
display_name="Best Sellers",
fiction=True,
priority=ya_fiction_priority,
**ya_common_args)
ya_fiction_priority += 1
ya_fiction_best_sellers.list_datasource = nyt_data_source
ya_fiction.sublanes.append(ya_fiction_best_sellers)
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Dystopian_SF],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Fantasy],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Comics_Graphic_Novels],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Literary_Fiction],
display_name="Contemporary Fiction",
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.LGBTQ_Fiction],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Suspense_Thriller, genres.Mystery],
display_name="Mystery & Thriller",
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Romance],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(
_db,
library, [genres.Science_Fiction],
exclude_genres=[genres.Dystopian_SF, genres.Steampunk],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_fiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Steampunk],
priority=ya_fiction_priority,
**ya_common_args))
ya_fiction_priority += 1
ya_nonfiction, ignore = create(_db,
Lane,
library=library,
display_name="Young Adult Nonfiction",
genres=[],
fiction=False,
sublanes=[],
priority=priority,
**ya_common_args)
priority += 1
sublanes.append(ya_nonfiction)
ya_nonfiction_priority = 0
if include_best_sellers:
ya_nonfiction_best_sellers, ignore = create(
_db,
Lane,
library=library,
display_name="Best Sellers",
fiction=False,
priority=ya_nonfiction_priority,
**ya_common_args)
ya_nonfiction_priority += 1
ya_nonfiction_best_sellers.list_datasource = nyt_data_source
ya_nonfiction.sublanes.append(ya_nonfiction_best_sellers)
ya_nonfiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Biography_Memoir],
display_name="Biography",
priority=ya_nonfiction_priority,
**ya_common_args))
ya_nonfiction_priority += 1
ya_nonfiction.sublanes.append(
lane_from_genres(_db,
library, [genres.History, genres.Social_Sciences],
display_name="History & Sociology",
priority=ya_nonfiction_priority,
**ya_common_args))
ya_nonfiction_priority += 1
ya_nonfiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Life_Strategies],
priority=ya_nonfiction_priority,
**ya_common_args))
ya_nonfiction_priority += 1
ya_nonfiction.sublanes.append(
lane_from_genres(_db,
library, [genres.Religion_Spirituality],
priority=ya_nonfiction_priority,
**ya_common_args))
ya_nonfiction_priority += 1
children_common_args = dict(common_args)
children_common_args['audiences'] = CHILDREN
children, ignore = create(_db,
Lane,
library=library,
display_name="Children and Middle Grade",
genres=[],
fiction=None,
sublanes=[],
priority=priority,
**children_common_args)
priority += 1
sublanes.append(children)
children_priority = 0
if include_best_sellers:
children_best_sellers, ignore = create(_db,
Lane,
library=library,
display_name="Best Sellers",
priority=children_priority,
**children_common_args)
children_priority += 1
children_best_sellers.list_datasource = nyt_data_source
children.sublanes.append(children_best_sellers)
picture_books, ignore = create(
_db,
Lane,
library=library,
display_name="Picture Books",
target_age=(0, 4),
genres=[],
fiction=None,
priority=children_priority,
languages=languages,
)
children_priority += 1
children.sublanes.append(picture_books)
easy_readers, ignore = create(
_db,
Lane,
library=library,
display_name="Easy Readers",
target_age=(5, 8),
genres=[],
fiction=None,
priority=children_priority,
languages=languages,
)
children_priority += 1
children.sublanes.append(easy_readers)
chapter_books, ignore = create(
_db,
Lane,
library=library,
display_name="Chapter Books",
target_age=(9, 12),
genres=[],
fiction=None,
priority=children_priority,
languages=languages,
)
children_priority += 1
children.sublanes.append(chapter_books)
children_poetry, ignore = create(_db,
Lane,
library=library,
display_name="Poetry Books",
priority=children_priority,
**children_common_args)
children_priority += 1
children_poetry.add_genre(genres.Poetry.name)
children.sublanes.append(children_poetry)
children_folklore, ignore = create(_db,
Lane,
library=library,
display_name="Folklore",
priority=children_priority,
**children_common_args)
children_priority += 1
children_folklore.add_genre(genres.Folklore.name)
children.sublanes.append(children_folklore)
children_fantasy, ignore = create(_db,
Lane,
library=library,
display_name="Fantasy",
fiction=True,
priority=children_priority,
**children_common_args)
children_priority += 1
children_fantasy.add_genre(genres.Fantasy.name)
children.sublanes.append(children_fantasy)
children_sf, ignore = create(_db,
Lane,
library=library,
display_name="Science Fiction",
fiction=True,
priority=children_priority,
**children_common_args)
children_priority += 1
children_sf.add_genre(genres.Science_Fiction.name)
children.sublanes.append(children_sf)
realistic_fiction, ignore = create(_db,
Lane,
library=library,
display_name="Realistic Fiction",
fiction=True,
priority=children_priority,
**children_common_args)
children_priority += 1
realistic_fiction.add_genre(genres.Literary_Fiction.name)
children.sublanes.append(realistic_fiction)
children_graphic_novels, ignore = create(
_db,
Lane,
library=library,
display_name="Comics & Graphic Novels",
priority=children_priority,
**children_common_args)
children_priority += 1
children_graphic_novels.add_genre(genres.Comics_Graphic_Novels.name)
children.sublanes.append(children_graphic_novels)
children_biography, ignore = create(_db,
Lane,
library=library,
display_name="Biography",
priority=children_priority,
**children_common_args)
children_priority += 1
children_biography.add_genre(genres.Biography_Memoir.name)
children.sublanes.append(children_biography)
children_historical_fiction, ignore = create(
_db,
Lane,
library=library,
display_name="Historical Fiction",
priority=children_priority,
**children_common_args)
children_priority += 1
children_historical_fiction.add_genre(genres.Historical_Fiction.name)
children.sublanes.append(children_historical_fiction)
informational, ignore = create(_db,
Lane,
library=library,
display_name="Informational Books",
fiction=False,
genres=[],
priority=children_priority,
**children_common_args)
children_priority += 1
informational.add_genre(genres.Biography_Memoir.name, inclusive=False)
children.sublanes.append(informational)
return priority
def extract_edition(cls, _db, work_tag, existing_authors, **restrictions):
"""Create a new Edition object with information about a
work (identified by OCLC Work ID).
"""
# TODO: 'pswid' is what it's called in older representations.
# That code can be removed once we replace all representations.
oclc_work_id = unicode(work_tag.get('owi') or work_tag.get('pswid'))
# if oclc_work_id:
# print " owi: %s" % oclc_work_id
# else:
# print " No owi in %s" % etree.tostring(work_tag)
if not oclc_work_id:
raise ValueError("Work has no owi")
item_type = work_tag.get("itemtype")
if (item_type.startswith('itemtype-book')
or item_type.startswith('itemtype-compfile')):
medium = Edition.BOOK_MEDIUM
elif item_type.startswith('itemtype-audiobook'
) or item_type.startswith('itemtype-music'):
# Pretty much all Gutenberg texts, even the audio texts,
# are based on a book, and the ones that aren't
# (recordings of individual songs) probably aren't in OCLC
# anyway. So we just want to get the books.
medium = Edition.AUDIO_MEDIUM
medium = None
elif item_type.startswith('itemtype-video'):
#medium = Edition.VIDEO_MEDIUM
medium = None
elif item_type in cls.UNUSED_MEDIA:
medium = None
else:
medium = None
# Only create Editions for books with a recognized medium
if medium is None:
return None, False
result = cls._extract_basic_info(_db, work_tag, existing_authors,
**restrictions)
if not result:
# This record did not meet one of the restrictions.
return None, False
title, authors_and_roles, language = result
# Record some extra OCLC-specific information
editions = work_tag.get('editions')
holdings = work_tag.get('holdings')
# Get an identifier for this work.
identifier, ignore = Identifier.for_foreign_id(_db,
Identifier.OCLC_WORK,
oclc_work_id)
data_source = DataSource.lookup(_db, DataSource.OCLC)
identifier.add_measurement(data_source, Measurement.HOLDINGS, holdings)
identifier.add_measurement(data_source, Measurement.PUBLISHED_EDITIONS,
editions)
# Create a Edition for source + identifier
edition, new = get_one_or_create(_db,
Edition,
data_source=data_source,
primary_identifier=identifier,
create_method_kwargs=dict(
title=title,
language=language,
))
# Get the most popular Dewey and LCC classification for this
# work.
for tag_name, subject_type in (("ddc", Subject.DDC), ("lcc",
Subject.LCC)):
tag = cls._xpath1(work_tag,
"//oclc:%s/oclc:mostPopular" % tag_name)
if tag is not None:
id = tag.get('nsfa') or tag.get('sfa')
weight = int(tag.get('holdings'))
identifier.classify(data_source,
subject_type,
id,
weight=weight)
# Find FAST subjects for the work.
for heading in cls._xpath(work_tag, "//oclc:fast//oclc:heading"):
id = heading.get('ident')
weight = int(heading.get('heldby'))
value = heading.text
identifier.classify(data_source, Subject.FAST, id, value, weight)
# Associate the authors with the Edition.
for contributor, roles in authors_and_roles:
edition.add_contributor(contributor, roles)
return edition, new
def test_reaper(self):
feed = self.get_data("biblioboard_mini_feed.opds")
class MockOPDSForDistributorsReaperMonitor(
OPDSForDistributorsReaperMonitor):
"""An OPDSForDistributorsReaperMonitor that overrides _get."""
def _get(self, url, headers):
return (200, {
"content-type": OPDSFeed.ACQUISITION_FEED_TYPE
}, feed)
data_source = DataSource.lookup(self._db,
"Biblioboard",
autocreate=True)
collection = MockOPDSForDistributorsAPI.mock_collection(self._db)
collection.external_integration.set_setting(
Collection.DATA_SOURCE_NAME_SETTING, data_source.name)
monitor = MockOPDSForDistributorsReaperMonitor(
self._db,
collection,
OPDSForDistributorsImporter,
metadata_client=object())
# There's a license pool in the database that isn't in the feed anymore.
edition, now_gone = self._edition(
identifier_type=Identifier.URI,
data_source_name=data_source.name,
with_license_pool=True,
collection=collection,
)
now_gone.licenses_owned = 1
now_gone.licenses_available = 1
edition, still_there = self._edition(
identifier_type=Identifier.URI,
identifier_id="urn:uuid:04377e87-ab69-41c8-a2a4-812d55dc0952",
data_source_name=data_source.name,
with_license_pool=True,
collection=collection,
)
still_there.licenses_owned = 1
still_there.licenses_available = 1
progress = monitor.run_once(monitor.timestamp().to_data())
# One LicensePool has been cleared out.
assert 0 == now_gone.licenses_owned
assert 0 == now_gone.licenses_available
# The other is still around.
assert 1 == still_there.licenses_owned
assert 1 == still_there.licenses_available
# The TimestampData returned by run_once() describes its
# achievements.
assert "License pools removed: 1." == progress.achievements
# The TimestampData does not include any timing information --
# that will be applied by run().
assert None == progress.start
assert None == progress.finish
def test_process_batch(self):
provider = self._provider()
# Here are an Edition and a LicensePool for the same identifier but
# from different data sources. We would expect this to happen
# when talking to the open-access content server.
edition = self._edition(data_source_name=DataSource.OA_CONTENT_SERVER)
identifier = edition.primary_identifier
license_source = DataSource.lookup(self._db, DataSource.GUTENBERG)
pool, is_new = LicensePool.for_foreign_id(
self._db,
license_source,
identifier.type,
identifier.identifier,
collection=self._default_collection)
eq_(None, pool.work)
# Here's a second Edition/LicensePool that's going to cause a
# problem: the LicensePool will show up in the results, but
# the corresponding Edition will not.
edition2, pool2 = self._edition(with_license_pool=True)
# Here's an identifier that can't be looked up at all.
identifier = self._identifier()
messages_by_id = {
identifier.urn: CoverageFailure(identifier, "201: try again later")
}
# When we call CoverageProvider.process_batch(), it's going to
# return the information we just set up: a matched
# Edition/LicensePool pair, a mismatched LicensePool, and an
# error message.
provider.queue_import_results([edition], [pool, pool2], [],
messages_by_id)
# Make the CoverageProvider do its thing.
fake_batch = [object()]
success, failure1, failure2 = provider.process_batch(fake_batch)
# The fake batch was provided to lookup_and_import_batch.
eq_([fake_batch], provider.batches)
# The matched Edition/LicensePool pair was returned.
eq_(success, edition.primary_identifier)
# The LicensePool of that pair was passed into finalize_license_pool.
# The mismatched LicensePool was not.
eq_([pool], provider.finalized)
# The mismatched LicensePool turned into a CoverageFailure
# object.
assert isinstance(failure1, CoverageFailure)
eq_('OPDS import operation imported LicensePool, but no Edition.',
failure1.exception)
eq_(pool2.identifier, failure1.obj)
eq_(True, failure1.transient)
# The failure was returned as a CoverageFailure object.
assert isinstance(failure2, CoverageFailure)
eq_(identifier, failure2.obj)
eq_(True, failure2.transient)
def test_work_from_metadata(self):
"""Validate the ability to create a new Work from appropriate metadata.
"""
class Mock(MockDirectoryImportScript):
"""In this test we need to verify that annotate_metadata
was called but did nothing.
"""
def annotate_metadata(self, metadata, *args, **kwargs):
metadata.annotated = True
return super(Mock, self).annotate_metadata(
metadata, *args, **kwargs
)
identifier = IdentifierData(Identifier.GUTENBERG_ID, "1003")
identifier_obj, ignore = identifier.load(self._db)
metadata = Metadata(
DataSource.GUTENBERG,
primary_identifier=identifier,
title=u"A book"
)
metadata.annotated = False
datasource = DataSource.lookup(self._db, DataSource.GUTENBERG)
policy = ReplacementPolicy.from_license_source(self._db)
mirror = MockS3Uploader()
policy.mirror = mirror
# Here, work_from_metadata calls annotate_metadata, but does
# not actually import anything because there are no files 'on
# disk' and thus no way to actually get the book.
collection = self._default_collection
args = (collection, metadata, policy, "cover directory",
"ebook directory", RightsStatus.CC0)
script = Mock(self._db)
eq_(None, script.work_from_metadata(*args))
eq_(True, metadata.annotated)
# Now let's try it with some files 'on disk'.
with open(self.sample_cover_path('test-book-cover.png')) as fh:
image = fh.read()
mock_filesystem = {
'cover directory' : (
'cover.jpg', Representation.JPEG_MEDIA_TYPE, image
),
'ebook directory' : (
'book.epub', Representation.EPUB_MEDIA_TYPE, "I'm an EPUB."
)
}
script = MockDirectoryImportScript(
self._db, mock_filesystem=mock_filesystem
)
work = script.work_from_metadata(*args)
# We have created a book. It has a cover image, which has a
# thumbnail.
eq_("A book", work.title)
assert work.cover_full_url.endswith(
'/test.cover.bucket/Gutenberg/Gutenberg+ID/1003/1003.jpg'
)
assert work.cover_thumbnail_url.endswith(
'/test.cover.bucket/scaled/300/Gutenberg/Gutenberg+ID/1003/1003.png'
)
[pool] = work.license_pools
assert pool.open_access_download_url.endswith(
'/test.content.bucket/Gutenberg/Gutenberg+ID/1003/A+book.epub'
)
eq_(RightsStatus.CC0,
pool.delivery_mechanisms[0].rights_status.uri)
# The mock S3Uploader has a record of 'uploading' all these files
# to S3.
epub, full, thumbnail = mirror.uploaded
eq_(epub.url, pool.open_access_download_url)
eq_(full.url, work.cover_full_url)
eq_(thumbnail.url, work.cover_thumbnail_url)
# The EPUB Representation was cleared out after the upload, to
# save database space.
eq_("I'm an EPUB.", mirror.content[0])
eq_(None, epub.content)
class OCLCXMLParser(XMLParser):
# OCLC in-representation 'status codes'
SINGLE_WORK_SUMMARY_STATUS = 0
SINGLE_WORK_DETAIL_STATUS = 2
MULTI_WORK_STATUS = 4
NO_INPUT_STATUS = 100
INVALID_INPUT_STATUS = 101
NOT_FOUND_STATUS = 102
UNEXPECTED_ERROR_STATUS = 200
INTS = set([OCLC.HOLDING_COUNT, OCLC.EDITION_COUNT])
NAMESPACES = {'oclc': 'http://classify.oclc.org'}
LIST_TYPE = "works"
log = logging.getLogger("OCLC XML Parser")
@classmethod
def parse(cls, _db, xml, **restrictions):
"""Turn XML data from the OCLC lookup service into a list of SWIDs
(for a multi-work response) or a list of Edition
objects (for a single-work response).
"""
tree = etree.fromstring(xml, parser=etree.XMLParser(recover=True))
response = cls._xpath1(tree, "oclc:response")
representation_type = int(response.get('code'))
workset_record = None
editions = []
edition_records = []
if representation_type == cls.UNEXPECTED_ERROR_STATUS:
raise IOError("Unexpected error from OCLC API: %s" % xml)
elif representation_type in (cls.NO_INPUT_STATUS,
cls.INVALID_INPUT_STATUS):
return representation_type, []
elif representation_type == cls.SINGLE_WORK_SUMMARY_STATUS:
raise IOError(
"Got single-work summary from OCLC despite requesting detail: %s"
% xml)
# The real action happens here.
if representation_type == cls.SINGLE_WORK_DETAIL_STATUS:
authors_tag = cls._xpath1(tree, "//oclc:authors")
work_tag = cls._xpath1(tree, "//oclc:work")
if work_tag is not None:
author_string = work_tag.get('author')
primary_author = cls.primary_author_from_author_string(
_db, author_string)
existing_authors = cls.extract_authors(
_db, authors_tag, primary_author=primary_author)
# The representation lists a single work, its authors, its editions,
# plus summary classification information for the work.
edition, ignore = cls.extract_edition(_db, work_tag,
existing_authors,
**restrictions)
if edition:
cls.log.info("EXTRACTED %r", edition)
records = []
if edition:
records.append(edition)
else:
# The work record itself failed one of the
# restrictions. None of its editions are likely to
# succeed either.
return representation_type, records
elif representation_type == cls.MULTI_WORK_STATUS:
# The representation lists a set of works that match the
# search query.
cls.log.debug("Extracting SWIDs from search results.")
records = cls.extract_swids(_db, tree, **restrictions)
elif representation_type == cls.NOT_FOUND_STATUS:
# No problem; OCLC just doesn't have any data.
records = []
else:
raise IOError("Unrecognized status code from OCLC API: %s (%s)" %
(representation_type, xml))
return representation_type, records
@classmethod
def extract_swids(cls, _db, tree, **restrictions):
"""Turn a multi-work response into a list of SWIDs."""
swids = []
for work_tag in cls._xpath(tree, "//oclc:work"):
# We're not calling extract_basic_info because we care about
# the info, we're calling it to make sure this work meets
# the restriction. If this work meets the restriction,
# we'll store its info when we look up the SWID.
response = cls._extract_basic_info(_db, work_tag, **restrictions)
if response:
title, author_names, language = response
# TODO: 'swid' is what it's called in older representations.
# That code can be removed once we replace all representations.
work_identifier = work_tag.get('wi') or work_tag.get('swid')
cls.log.debug("WORK ID %s (%s, %r, %s)", work_identifier,
title, author_names, language)
swids.append(work_identifier)
return swids
ROLES = re.compile("\[([^]]+)\]$")
LIFESPAN = re.compile("([0-9]+)-([0-9]*)[.;]?$")
@classmethod
def extract_authors(cls, _db, authors_tag, primary_author=None):
results = []
if authors_tag is not None:
for author_tag in cls._xpath(authors_tag, "//oclc:author"):
lc = author_tag.get('lc', None)
viaf = author_tag.get('viaf', None)
contributor, roles, default_role_used = cls._parse_single_author(
_db,
author_tag.text,
lc=lc,
viaf=viaf,
primary_author=primary_author)
if contributor:
results.append(contributor)
return results
@classmethod
def _contributor_match(cls, contributor, name, lc, viaf):
return (contributor.sort_name == name
and (lc is None or contributor.lc == lc)
and (viaf is None or contributor.viaf == viaf))
@classmethod
def _parse_single_author(cls,
_db,
author,
lc=None,
viaf=None,
existing_authors=[],
default_role=Contributor.AUTHOR_ROLE,
primary_author=None):
default_role_used = False
# First find roles if present
# "Giles, Lionel, 1875-1958 [Writer of added commentary; Translator]"
author = author.strip()
m = cls.ROLES.search(author)
if m:
author = author[:m.start()].strip()
role_string = m.groups()[0]
roles = [x.strip() for x in role_string.split(";")]
elif default_role:
roles = [default_role]
default_role_used = True
else:
roles = []
# Author string now looks like
# "Giles, Lionel, 1875-1958"
m = cls.LIFESPAN.search(author)
kwargs = dict()
if m:
author = author[:m.start()].strip()
birth, death = m.groups()
if birth:
kwargs[Contributor.BIRTH_DATE] = birth
if death:
kwargs[Contributor.DEATH_DATE] = death
# Author string now looks like
# "Giles, Lionel,"
if author.endswith(","):
author = author[:-1]
contributor = None
if not author:
# No name was given for the author.
return None, roles, default_role_used
if primary_author and author == primary_author.sort_name:
if Contributor.AUTHOR_ROLE in roles:
roles.remove(Contributor.AUTHOR_ROLE)
if Contributor.UNKNOWN_ROLE in roles:
roles.remove(Contributor.UNKNOWN_ROLE)
roles.insert(0, Contributor.PRIMARY_AUTHOR_ROLE)
if existing_authors:
# Calling Contributor.lookup will result in a database
# hit, and looking up a contributor based on name may
# result in multiple results (see below). We'll have no
# way of distinguishing between those results. If
# possible, it's much more reliable to look through
# existing_authors (the authors derived from an entry's
# <authors> tag).
for x in existing_authors:
if cls._contributor_match(x, author, lc, viaf):
contributor = x
break
if contributor:
was_new = False
if not contributor:
contributor, was_new = Contributor.lookup(_db,
author,
viaf,
lc,
extra=kwargs)
if isinstance(contributor, list):
# We asked for an author based solely on the name, which makes
# Contributor.lookup() return a list.
if len(contributor) == 1:
# Fortunately, either the database knows about only
# one author with that name, or it didn't know about
# any authors with that name and it just created one,
# so we can unambiguously use it.
contributor = contributor[0]
else:
# Uh-oh. The database knows about multiple authors
# with that name. We have no basis for deciding which
# author we mean. But we would prefer to identify with
# an author who has a known LC or VIAF number.
#
# This should happen very rarely because of our check
# against existing_authors above. But it will happen
# for authors that have a work in Project Gutenberg.
with_id = [
x for x in contributor
if x.lc is not None or x.viaf is not None
]
if with_id:
contributor = with_id[0]
else:
contributor = contributor[0]
return contributor, roles, default_role_used
@classmethod
def primary_author_from_author_string(cls, _db, author_string):
# If the first author mentioned in the author string
# does not have an explicit role set, treat them as the primary
# author.
if not author_string:
return None
authors = author_string.split("|")
if not authors:
return None
author, roles, default_role_used = cls._parse_single_author(
_db, authors[0], default_role=Contributor.PRIMARY_AUTHOR_ROLE)
if roles == [Contributor.PRIMARY_AUTHOR_ROLE]:
return author
return None
@classmethod
def parse_author_string(cls,
_db,
author_string,
existing_authors=[],
primary_author=None):
default_role = Contributor.PRIMARY_AUTHOR_ROLE
authors = []
if not author_string:
return authors
for author in author_string.split("|"):
author, roles, default_role_used = cls._parse_single_author(
_db,
author,
existing_authors=existing_authors,
default_role=default_role,
primary_author=primary_author)
if roles:
if Contributor.PRIMARY_AUTHOR_ROLE in roles:
# That was the primary author. If we see someone
# with no explicit role after this point, they're
# just a regular author.
default_role = Contributor.AUTHOR_ROLE
elif not default_role_used:
# We're dealing with someone whose role was
# explicitly specified. If we see someone with no
# explicit role after this point, it's probably
# because their role is so minor as to not be
# worth mentioning, not because it's so major that
# we can assume they're an author.
default_role = Contributor.UNKNOWN_ROLE
roles = roles or [default_role]
if author:
authors.append((author, roles))
return authors
@classmethod
def _extract_basic_info(cls,
_db,
tag,
existing_authors=None,
**restrictions):
"""Extract information common to work tag and edition tag."""
title = tag.get('title')
author_string = tag.get('author')
authors_and_roles = cls.parse_author_string(_db, author_string,
existing_authors)
if 'language' in tag.keys():
language = tag.get('language')
else:
language = None
if title and 'title' in restrictions:
must_resemble_title = restrictions['title']
threshold = restrictions.get('title_similarity', 0.25)
similarity = MetadataSimilarity.title_similarity(
must_resemble_title, title)
if similarity < threshold:
# The title of the book under consideration is not
# similar enough to the given title.
cls.log.debug("FAILURE TO RESEMBLE: %s vs %s (%.2f)", title,
must_resemble_title, similarity)
return None
# The semicolon is frequently used to separate multiple
# works in an anthology. If there is no semicolon in the
# original title, do not consider titles that contain
# semicolons.
if (not ' ; ' in must_resemble_title and ' ; ' in title
and threshold > 0):
cls.log.debug("SEMICOLON DISQUALIFICATION: %s", title)
return None
# Apply restrictions. If they're not met, return None.
if 'language' in restrictions and language:
# We know which language this record is for. Match it
# against the language used in the Edition we're
# matching against.
restrict_to_language = set(restrictions['language'])
if language != restrict_to_language:
# This record is for a book in a different language
cls.log.debug("WRONG LANGUAGE: %s", language)
return None
if 'authors' in restrictions:
restrict_to_authors = restrictions['authors']
if restrict_to_authors and isinstance(restrict_to_authors[0],
Contributor):
restrict_to_authors = [
x.sort_name for x in restrict_to_authors
]
primary_author = None
for a, roles in authors_and_roles:
if Contributor.PRIMARY_AUTHOR_ROLE in roles:
primary_author = a
break
if (not primary_author or
(primary_author not in restrict_to_authors
and primary_author.sort_name not in restrict_to_authors)):
# None of the given authors showed up as the
# primary author of this book. They may have had
# some other role in it, or the book may be about
# them, or incorporate their work, but this book
# is not *by* them.
return None
author_names = ", ".join([x.sort_name for x, y in authors_and_roles])
return title, authors_and_roles, language
UNUSED_MEDIA = set([
"itemtype-intmm",
"itemtype-msscr",
"itemtype-artchap-artcl",
"itemtype-jrnl",
"itemtype-map",
"itemtype-vis",
"itemtype-jrnl-digital",
"itemtype-image-2d",
"itemtype-artchap-digital",
"itemtype-intmm-digital",
"itemtype-archv",
"itemtype-msscr-digital",
"itemtype-game",
"itemtype-web-digital",
"itemtype-map-digital",
])
@classmethod
def extract_edition(cls, _db, work_tag, existing_authors, **restrictions):
"""Create a new Edition object with information about a
work (identified by OCLC Work ID).
"""
# TODO: 'pswid' is what it's called in older representations.
# That code can be removed once we replace all representations.
oclc_work_id = unicode(work_tag.get('owi') or work_tag.get('pswid'))
# if oclc_work_id:
# print " owi: %s" % oclc_work_id
# else:
# print " No owi in %s" % etree.tostring(work_tag)
if not oclc_work_id:
raise ValueError("Work has no owi")
item_type = work_tag.get("itemtype")
if (item_type.startswith('itemtype-book')
or item_type.startswith('itemtype-compfile')):
medium = Edition.BOOK_MEDIUM
elif item_type.startswith('itemtype-audiobook'
) or item_type.startswith('itemtype-music'):
# Pretty much all Gutenberg texts, even the audio texts,
# are based on a book, and the ones that aren't
# (recordings of individual songs) probably aren't in OCLC
# anyway. So we just want to get the books.
medium = Edition.AUDIO_MEDIUM
medium = None
elif item_type.startswith('itemtype-video'):
#medium = Edition.VIDEO_MEDIUM
medium = None
elif item_type in cls.UNUSED_MEDIA:
medium = None
else:
medium = None
# Only create Editions for books with a recognized medium
if medium is None:
return None, False
result = cls._extract_basic_info(_db, work_tag, existing_authors,
**restrictions)
if not result:
# This record did not meet one of the restrictions.
return None, False
title, authors_and_roles, language = result
# Record some extra OCLC-specific information
editions = work_tag.get('editions')
holdings = work_tag.get('holdings')
# Get an identifier for this work.
identifier, ignore = Identifier.for_foreign_id(_db,
Identifier.OCLC_WORK,
oclc_work_id)
data_source = DataSource.lookup(_db, DataSource.OCLC)
identifier.add_measurement(data_source, Measurement.HOLDINGS, holdings)
identifier.add_measurement(data_source, Measurement.PUBLISHED_EDITIONS,
editions)
# Create a Edition for source + identifier
edition, new = get_one_or_create(_db,
Edition,
data_source=data_source,
primary_identifier=identifier,
create_method_kwargs=dict(
title=title,
language=language,
))
# Get the most popular Dewey and LCC classification for this
# work.
for tag_name, subject_type in (("ddc", Subject.DDC), ("lcc",
Subject.LCC)):
tag = cls._xpath1(work_tag,
"//oclc:%s/oclc:mostPopular" % tag_name)
if tag is not None:
id = tag.get('nsfa') or tag.get('sfa')
weight = int(tag.get('holdings'))
identifier.classify(data_source,
subject_type,
id,
weight=weight)
# Find FAST subjects for the work.
for heading in cls._xpath(work_tag, "//oclc:fast//oclc:heading"):
id = heading.get('ident')
weight = int(heading.get('heldby'))
value = heading.text
identifier.classify(data_source, Subject.FAST, id, value, weight)
# Associate the authors with the Edition.
for contributor, roles in authors_and_roles:
edition.add_contributor(contributor, roles)
return edition, new
@classmethod
def extract_edition_record(cls, _db, edition_tag, existing_authors,
**restrictions):
"""Create a new Edition object with information about an
edition of a book (identified by OCLC Number).
"""
oclc_number = unicode(edition_tag.get('oclc'))
try:
int(oclc_number)
except ValueError, e:
# This record does not have a valid OCLC number.
return None, False
# Fill in some basic information about this new record.
result = cls._extract_basic_info(_db, edition_tag, existing_authors,
**restrictions)
if not result:
# This record did not meet one of the restrictions.
return None, False
title, authors_and_roles, language = result
# Add a couple extra bits of OCLC-specific information.
extra = {
OCLC.HOLDING_COUNT: edition_tag.get('holdings'),
OCLC.FORMAT: edition_tag.get('itemtype'),
}
# Get an identifier for this edition.
identifier, ignore = Identifier.for_foreign_id(_db,
Identifier.OCLC_NUMBER,
oclc_number)
# Create a Edition for source + identifier
data_source = DataSource.lookup(_db, DataSource.OCLC)
edition_record, new = get_one_or_create(_db,
Edition,
data_source=data_source,
primary_identifier=identifier,
create_method_kwargs=dict(
title=title,
language=language,
subjects=subjects,
extra=extra,
))
subjects = {}
for subject_type, oclc_code in ((Subject.LCC, "050"), (Subject.DDC,
"082")):
classification = cls._xpath1(
edition_tag,
"oclc:classifications/oclc:class[@tag=%s]" % oclc_code)
if classification is not None:
value = classification.get("nsfa") or classification.get('sfa')
identifier.classify(data_source, subject_type, value)
# Associated each contributor with the new record.
for author, roles in authors_and_roles:
edition_record.add_contributor(author, roles)
return edition_record, new
url = "%s/libraries/%s/patrons/%s" % (api.base_url, api.library_id, patron)
response = api.request(url)
return response.status_code == 200
# See if we have multiple RB Digital collections
rb_digital_collections = _db.query(Collection.id)\
.select_from(ExternalIntegration)\
.join(ExternalIntegration.collections)\
.filter(ExternalIntegration.protocol == ExternalIntegration.RB_DIGITAL)\
.all()
# We don't have to do any validation just update the credentials table
if len(rb_digital_collections) == 1:
rb_collection_id = rb_digital_collections[0][0]
source = DataSource.lookup(_db, DataSource.RB_DIGITAL)
update_statement = update(Credential)\
.where(and_(
Credential.data_source_id == source.id,
Credential.type == Credential.IDENTIFIER_FROM_REMOTE_SERVICE
))\
.values(collection_id=rb_collection_id)
_db.execute(update_statement)
# We have multiple RBDigital integration and we don't know which credential
# belongs to each one. Have to check each credential against RBDigital API.
else:
rb_api = []
for collection_id in rb_digital_collections:
collection = Collection.by_id(_db, collection_id[0])
rb_api.append(RBDigitalAPI(_db, collection))
def setup(self):
super(TestURNLookupController, self).setup()
self.controller = URNLookupController(self._db)
self.source = DataSource.lookup(self._db,
DataSource.INTERNAL_PROCESSING)
def test_fulfill(self):
patron = self._patron()
data_source = DataSource.lookup(self._db,
"Biblioboard",
autocreate=True)
edition, pool = self._edition(
identifier_type=Identifier.URI,
data_source_name=data_source.name,
with_license_pool=True,
collection=self.collection,
)
# This pool doesn't have an acquisition link, so
# we can't fulfill it yet.
assert_raises(CannotFulfill, self.api.fulfill, patron, "1234", pool,
Representation.EPUB_MEDIA_TYPE)
# Set up an epub acquisition link for the pool.
url = self._url
link, ignore = pool.identifier.add_link(
Hyperlink.GENERIC_OPDS_ACQUISITION,
url,
data_source,
Representation.EPUB_MEDIA_TYPE,
)
pool.set_delivery_mechanism(
Representation.EPUB_MEDIA_TYPE,
DeliveryMechanism.NO_DRM,
RightsStatus.IN_COPYRIGHT,
link.resource,
)
# Set the API's auth url so it doesn't have to get it -
# that's tested in test_get_token.
self.api.auth_url = "http://auth"
token_response = json.dumps({
"access_token": "token",
"expires_in": 60
})
self.api.queue_response(200, content=token_response)
fulfillment_time = datetime.datetime.utcnow()
fulfillment_info = self.api.fulfill(patron, "1234", pool,
Representation.EPUB_MEDIA_TYPE)
eq_(self.collection.id, fulfillment_info.collection_id)
eq_(data_source.name, fulfillment_info.data_source_name)
eq_(Identifier.URI, fulfillment_info.identifier_type)
eq_(pool.identifier.identifier, fulfillment_info.identifier)
eq_(None, fulfillment_info.content_link)
eq_(DeliveryMechanism.BEARER_TOKEN, fulfillment_info.content_type)
bearer_token_document = json.loads(fulfillment_info.content)
expires_in = bearer_token_document['expires_in']
assert expires_in < 60
eq_("Bearer", bearer_token_document['token_type'])
eq_("token", bearer_token_document['access_token'])
eq_(url, bearer_token_document['location'])
# The FulfillmentInfo's content_expires is approximately the
# time you get if you add the number of seconds until the
# bearer token expires to the time at which the title was
# originally fulfilled.
expect_expiration = fulfillment_time + datetime.timedelta(
seconds=expires_in)
assert abs((fulfillment_info.content_expires -
expect_expiration).total_seconds()) < 5
def data_source(self):
return DataSource.lookup(self._db, DataSource.CONTENT_CAFE)
def test_recursively_equivalent_identifiers(self):
# We start with a Gutenberg book.
gutenberg = DataSource.lookup(self._db, DataSource.GUTENBERG)
record, ignore = Edition.for_foreign_id(self._db, gutenberg,
Identifier.GUTENBERG_ID, "100")
gutenberg_id = record.primary_identifier
# We use OCLC Classify to do a title/author lookup.
oclc = DataSource.lookup(self._db, DataSource.OCLC)
search_id, ignore = Identifier.for_foreign_id(self._db,
Identifier.OCLC_WORK,
"60010")
gutenberg_id.equivalent_to(oclc, search_id, 1)
# The title/author lookup associates the search term with two
# different OCLC Numbers.
oclc_id, ignore = Identifier.for_foreign_id(self._db,
Identifier.OCLC_NUMBER,
"9999")
oclc_id_2, ignore = Identifier.for_foreign_id(self._db,
Identifier.OCLC_NUMBER,
"1000")
search_id.equivalent_to(oclc, oclc_id, 1)
search_id.equivalent_to(oclc, oclc_id_2, 1)
# We then use OCLC Linked Data to connect one of the OCLC
# Numbers with an ISBN.
linked_data = DataSource.lookup(self._db, DataSource.OCLC_LINKED_DATA)
isbn_id, ignore = Identifier.for_foreign_id(self._db, Identifier.ISBN,
"900100434X")
oclc_id.equivalent_to(linked_data, isbn_id, 1)
# As it turns out, we have an Overdrive work record...
overdrive = DataSource.lookup(self._db, DataSource.OVERDRIVE)
overdrive_record, ignore = Edition.for_foreign_id(
self._db, overdrive, Identifier.OVERDRIVE_ID, "{111-222}")
overdrive_id = overdrive_record.primary_identifier
# ...which is tied (by Overdrive) to the same ISBN.
overdrive_id.equivalent_to(overdrive, isbn_id, 1)
# Finally, here's a completely unrelated Edition, which
# will not be showing up.
gutenberg2, ignore = Edition.for_foreign_id(self._db, gutenberg,
Identifier.GUTENBERG_ID,
"200")
gutenberg2.title = "Unrelated Gutenberg record."
levels = [
record.equivalent_identifiers(policy=PresentationCalculationPolicy(
equivalent_identifier_levels=i)) for i in range(0, 5)
]
# At level 0, the only identifier found is the Gutenberg ID.
assert set([gutenberg_id]) == set(levels[0])
# At level 1, we pick up the title/author lookup.
assert set([gutenberg_id, search_id]) == set(levels[1])
# At level 2, we pick up the title/author lookup and the two
# OCLC Numbers.
assert set([gutenberg_id, search_id, oclc_id,
oclc_id_2]) == set(levels[2])
# At level 3, we also pick up the ISBN.
assert set([gutenberg_id, search_id, oclc_id, oclc_id_2,
isbn_id]) == set(levels[3])
# At level 4, the recursion starts to go in the other
# direction: we pick up the Overdrive ID that's equivalent to
# the same ISBN as the OCLC Number.
assert set([
gutenberg_id, search_id, oclc_id, oclc_id_2, isbn_id, overdrive_id
]) == set(levels[4])
def source(self):
return DataSource.lookup(self._db, DataSource.NOVELIST)
def custom_lists(self, identifier_type, identifier):
self.require_librarian(flask.request.library)
library = flask.request.library
work = self.load_work(library, identifier_type, identifier)
if isinstance(work, ProblemDetail):
return work
staff_data_source = DataSource.lookup(self._db,
DataSource.LIBRARY_STAFF)
if flask.request.method == "GET":
lists = []
for entry in work.custom_list_entries:
list = entry.customlist
lists.append(dict(id=list.id, name=list.name))
return dict(custom_lists=lists)
if flask.request.method == "POST":
lists = flask.request.form.get("lists")
if lists:
lists = json.loads(lists)
else:
lists = []
affected_lanes = set()
# Remove entries for lists that were not in the submitted form.
submitted_ids = [l.get("id") for l in lists if l.get("id")]
for entry in work.custom_list_entries:
if entry.list_id not in submitted_ids:
list = entry.customlist
list.remove_entry(work)
for lane in Lane.affected_by_customlist(list):
affected_lanes.add(lane)
# Add entries for any new lists.
for list_info in lists:
id = list_info.get("id")
name = list_info.get("name")
if id:
is_new = False
list = get_one(self._db,
CustomList,
id=int(id),
name=name,
library=library,
data_source=staff_data_source)
if not list:
self._db.rollback()
return MISSING_CUSTOM_LIST.detailed(
_("Could not find list \"%(list_name)s\"",
list_name=name))
else:
list, is_new = create(self._db,
CustomList,
name=name,
data_source=staff_data_source,
library=library)
list.created = datetime.now()
entry, was_new = list.add_entry(work, featured=True)
if was_new:
for lane in Lane.affected_by_customlist(list):
affected_lanes.add(lane)
# If any list changes affected lanes, update their sizes.
# NOTE: This may not make a difference until the
# works are actually re-indexed.
for lane in affected_lanes:
lane.update_size(self._db, self.search_engine)
return Response(unicode(_("Success")), 200)
