def __find_best_series(book, config):
'''
Queries the databse to find a best guess for a series matching the given
ComicBook, based on its name, year, issue number, and other text attributes.
Returns SeriesRef if a reasonable guess was found, or None if one wasn't.
'''
# 1. obtain SeriesRefs for this book, removing some as dictated by prefs
series_refs = db.query_series_refs(book.series_s,
config.ignored_searchterms_sl)
series_refs = dbutils.filter_series_refs(series_refs,
config.ignored_publishers_sl,
config.ignored_before_year_n,
config.ignored_after_year_n,
config.never_ignore_threshold_n)
# 2. obtain the first, second, and third best matching SeriesRefs for the
# given book, if there are any.
primary = None
secondary = None
tertiary = None
if len(series_refs) > 0:
mscore = MatchScore()
def find_best_score(refs):
return reduce(
lambda x, y: x if mscore.compute_n(book, x) >= mscore.
compute_n(book, y) else y, refs) if refs else None
primary = find_best_score(series_refs)
if primary:
series_refs.remove(primary)
secondary = find_best_score(series_refs)
if secondary:
series_refs.remove(secondary)
tertiary = find_best_score(series_refs)
# 3. if our book is the first (or unknown) issue, figure out if the best
# matching series has a similar cover to the second or third best.
# if it does, we're probably dealing with a trade paperback and a
# regular issue, and we can't find the best series reliably, so we bail
is_first_issue = (lambda i : not i or \
(utils.is_number(i) and float(i)==1.0))(book.issue_num_s)
if is_first_issue and primary and secondary:
too_similar = False
SIMILARITY_THRESHOLD = __MATCH_THRESHOLD - 0.10
hash1 = __get_remote_hash(primary)
hash2 = __get_remote_hash(secondary)
if imagehash.similarity(hash1, hash2) > SIMILARITY_THRESHOLD:
too_similar = True
elif tertiary:
hash3 = __get_remote_hash(tertiary)
if imagehash.similarity(hash1, hash3) > SIMILARITY_THRESHOLD:
too_similar = True
primary = None if too_similar else primary
return primary
def __init__(self, scraper, book, series_refs, search_terms_s):
'''
Initializes this form.
'scraper' -> the currently running ScrapeEngine
'book' -> the ComicBook being scraped
'series_refs' -> set or list containing the SeriesRefs to display
'search_terms_s' -> the user's search string that found the series models
'''
# the the shared global configuration
self.__config = scraper.config
# a list of SeriesRef objects that back this form; one ref per table
# row, where each SeriesRef represents a series the user can pick
self.__series_refs = list(series_refs)
# the MatchScore object that we use to compute series match scores
self.__matchscore = MatchScore()
# true when the user is pressing the control key, false otherwise
self.__pressing_controlkey = False;
# the 'ok' button for this dialog
self.__ok_button = None
# the 'skip' button for this dialog
self.__skip_button = None
# the 'show issues' button for this dialog
self.__issues_button = None
# the table that displays series (on per row) for the user to pick from
self.__table = None
# IssueCoverPanel that shows cover art for the current selected SeriesRef
self.__coverpanel = None
# the index (in self.__series_refs) of the currently selected SeriesRef
self.__chosen_index = None
if len(series_refs) <= 0:
raise Exception("do not invoke the SeriesForm with no series!")
CVForm.__init__(self, scraper.comicrack.MainWindow, "seriesformLocation")
self.__build_gui(book, search_terms_s);
scraper.cancel_listeners.append(self.Close)
