def update_cache(): #runs on scheduler thread
issue = db.query_issue(ref, True) \
if type(ref) == IssueRef else None
def update_bmodel(): # runs on application thread
bmodel = cache[ref]
if issue and len(issue.image_urls_sl) > 1:
for i in range(1, len(issue.image_urls_sl)):
bmodel.add_new_ref(issue.image_urls_sl[i])
bmodel.set_status('searched')
self.__update() # recurse!
utils.invoke(self, update_bmodel, True)
def update_cache(): #runs on scheduler thread
issue = db.query_issue(ref, True) \
if type(ref) == IssueRef else None
def update_bmodel(): # runs on application thread
bmodel = cache[ref]
if issue and len(issue.image_urls_sl) > 1:
for i in range(1, len(issue.image_urls_sl)):
bmodel.add_new_ref(issue.image_urls_sl[i])
bmodel.set_status('searched')
self.__update() # recurse!
utils.invoke(self, update_bmodel, True)
def find_series_ref(book, config):
'''
Performs a number of queries on the database, in an attempt to find a
SeriesRef object that strongly matches the given book. A variety of
techniques are employed, including checking for matching issue numbers in
the prospective series, and image matching the cover of the prospective
issue in the prospective series. The user's search and filtering
preferences (in 'config') are also taken into account.
Returns None if no clear seroes identification could be made.
'''
# tests to see if two hashes are close enough to be considered "the same"
def are_the_same(hash1, hash2):
x = imagehash.similarity(hash1, hash2)
return x > __MATCH_THRESHOLD
retval = None
series_ref = __find_best_series(book, config)
if series_ref:
matches = False
hash_local = __get_local_hash(book)
if hash_local:
# 1. convert SeriesRef + issue num to an IssueRef iff its possible.
ref = db.query_issue_ref(series_ref, book.issue_num_s) \
if book.issue_num_s else series_ref
ref = series_ref if not ref else ref
# 2. see if the local and remote hashes match up
hash_remote = __get_remote_hash(ref)
matches = are_the_same(hash_local, hash_remote)
# 3. if the given ref is an IssueRef, we can try to load the issue's
# additional cover images and see if any of them match, too.
if not matches and type(ref) == IssueRef:
issue = db.query_issue(ref, True)
if issue:
for ref in issue.image_urls_sl:
hash_remote = __get_remote_hash(ref)
matches = are_the_same(hash_local, hash_remote)
if matches: break
retval = series_ref if matches else None
return retval;
def find_series_ref(book, config):
'''
Performs a number of queries on the database, in an attempt to find a
SeriesRef object that strongly matches the given book. A variety of
techniques are employed, including checking for matching issue numbers in
the prospective series, and image matching the cover of the prospective
issue in the prospective series. The user's search and filtering
preferences (in 'config') are also taken into account.
Returns None if no clear seroes identification could be made.
'''
# tests to see if two hashes are close enough to be considered "the same"
def are_the_same(hash1, hash2):
x = imagehash.similarity(hash1, hash2)
return x > __MATCH_THRESHOLD
retval = None
series_ref = __find_best_series(book, config)
if series_ref:
matches = False
hash_local = __get_local_hash(book)
if hash_local:
# 1. convert SeriesRef + issue num to an IssueRef iff its possible.
ref = db.query_issue_ref(series_ref, book.issue_num_s) \
if book.issue_num_s else series_ref
ref = series_ref if not ref else ref
# 2. see if the local and remote hashes match up
hash_remote = __get_remote_hash(ref)
matches = are_the_same(hash_local, hash_remote)
# 3. if the given ref is an IssueRef, we can try to load the issue's
# additional cover images and see if any of them match, too.
if not matches and type(ref) == IssueRef:
issue = db.query_issue(ref, True)
if issue:
for ref in issue.image_urls_sl:
hash_remote = __get_remote_hash(ref)
matches = are_the_same(hash_local, hash_remote)
if matches: break
retval = series_ref if matches else None
return retval;
