def filter_words(words):
# filter common words
# use the stopwords file??
common = set(['the','to','of','at','a','is','in','what','and','it','this',
'that','and',])
words = filter(lambda x: x not in common \
and dict.is_word(x) \
and len(x) > 1, words)
return words
def filter_word_phrases(phrases, min_phrase_len, min_occurrence, all_phrases):
# must do before substring deletion to prevent occurence 1 items
# from messing things up
for p,c in phrases.items():
pwords = p.split(' ')
if c < min_occurrence or len(pwords) < min_phrase_len \
or not reduce(lambda x,y: x and dict.is_word(y), pwords):# or p not in good:
del phrases[p]
ps = phrases.items()
good = set([])
# find substrings to delete within a phrase set, this may be pretty inefficient...
for p1,c1 in ps:
substr = False
for p2,c2 in ps:
if p1 == p2: # compares content, no way to do pointers..
continue
#if p2.find(p1) > -1:
# not counting substrings that don't have same occurrence count
if c1 == c2 and (p2.startswith(p1) or p2.endswith(p1)): # slightly faster, barely..
substr = True
break
if not substr:
good.add(p1)
for p,c in phrases.items():
if p not in good:
del phrases[p]
# could also prune between different phrase sets based on common words..
# but should i? might add a bit to the time..
# the word to phrases association is pretty arbitrary... better representation?
if phrases:# and count > 0:#40: # change to show top words & their phrases
#print "Phrases for %s (%s): %s" % (word, count, phrases)
#print good
""" # pretty printer
print "Phrases for %s (%s):" % (word, count)
for p in reversed(sorted(phrases.items(), key=lambda x: x[1])):
print p
"""
# TODO: prune phrases that aren't common enough?
# TODO: prune phrases that aren't mostly english words..
# TODO: prune nonsensical things... single letters that aren't in [a, i, ...]
for ap,ac in phrases.items():
for w in ap.split(' '):
#if not dict.is_word(w) or not len(w) > 1:
# continue
l = all_phrases.setdefault(w, [])
l.append(APhrase.getPhrase(ap, ac))
def get_common_words(word_frequencies):
counts = word_frequencies
citems = counts.items()
common_words = list(reversed(sorted(citems, key=lambda x: x[1][0])))
# sorted descending
r = re.compile('^[a-zA-Z][a-zA-Z-\'"]*$', re.U)
common_words = filter(lambda x: x[0] not in TOO_COMMON and r.match(x[0]) \
and dict.is_word(x[0]) and len(x[0]) > 1,
common_words)
return common_words
def GET(self):
if self.restrict_access(): return
web.header("Pragma", "no-cache")
web.header("Cache-Control", "no-cache")
default_last_time = str(time.time())
input = web.input(search="", page=0, last_time=default_last_time)
#web.debug('input time ' + input.last_time)
if input.last_time == '0.0': # bah...
input.last_time = default_last_time
last_words = env.get_last_words(since=input.last_time)
last_update = 0
if not input.search:
input.search = last_words
last_update = env.get_last_update()
todisplay = 10
posts_count = 0
start_idx = (input.page - 1) * todisplay + 1
end_idx = min(posts_count, input.page * todisplay)
if end_idx >= posts_count:
start_idx = posts_count - (posts_count % todisplay) + 1
end_idx = posts_count
input.page = posts_count / todisplay + 1
#security issue w/ making request for typed words..
words = input.search.split(' ')
words.reverse()
for w in words:
if not w or not dict.is_word(w):
continue
#trans = '' # translation(w) # unused for now
wrdef = wr_definition(w)
# check if english word..
# sound is only in english!
#jqreq = """$.get('audio?q=' + encodeURIComponent($(this).attr('href')) + '&d=' + new Date().toUTCString());return false;"""
#print '<a href="%s" onclick="%s">%s</a>' % (wrdef.sound, jqreq, wrdef.listen)
#print "<br /><br />"
#print '<iframe src="http://www.wordreference.com/%s/%s" width="320" height="240"></iframe>' % ('enfr', web.urlquote(input.search))
print render.vocab_results(w, wrdef, last_update)
return