def imperative(sentence):
for p in ("!could|!would|!should|!to+ VB", "^VB", "^do|VB*"):
m = match(p, sentence)
# Exclude questions.
if match(p, sentence) and sentence.string.endswith((".", "!")):
return True
return False
def imperative(sentence):
for p in ("!could|!would|!should|!to+ VB", "^VB", "^do|VB*"):
m = match(p, sentence)
if match(p, sentence) and sentence.string.endswith(
(".", "!")): # Exclude questions.
return True
return False
def test_match_function(self):
# Assert match() function.
s = Sentence(parse("Go on Bors, chop his head off!"))
m1 = search.match("chop NP off", s, strict=False)
m2 = search.match("chop NP+ off", s, strict=True)
self.assertEqual(m1.constituents()[1].string, "his head")
self.assertEqual(m2.constituents()[1].string, "his head")
print "pattern.search.match()"
from pattern.search import search, match
from pattern.en import parsetree
# This example demonstrates an interesting search pattern that mines for comparisons.
# Notice the use of the constraint "be".
# If the output from the parser includes word lemmas (e.g., "doing" => "do")
# these will also be matched. Using "be" then matches "is", "being", "are", ...
# and if underspecification is used "could be", "will be", "definitely
# was", ...
p = "NP be ADJP|ADVP than NP"
for s in ("the turtle was faster than the hare",
"Arnold Schwarzenegger is more dangerous than Dolph Lundgren"):
t = parsetree(s, lemmata=True) # parse lemmas
m = search(p, t)
if m:
# Constituents for the given constraint indices:
# 0 = NP, 2 = ADJP|ADVP, 4 = NP
print(m[0].constituents(constraint=[0, 2, 4]))
print()
p = "NP be ADJP|ADVP than NP"
t = parsetree("the turtle was faster than the hare", lemmata=True)
m = match(p, t)
print(t)
print()
for w in m.words:
print(w, " \t=>", m.constraint(w))
from pattern.search import match
from pattern.en import parsetree
# This example demonstrates how to create match groups.
# A match group is a number of consecutive constraints,
# for which matching words can easily be retrieved from a Match object.
# Suppose we are looking for adjectives preceding nouns.
# A simple pattern is: "JJ?+ NN",
# which matches nouns preceded by any number of adjectives.
# Since the number of nouns can be 0, 1 or 23 it is not so easy
# to fetch the adjectives from a Match. This can be achieved with a group:
s = "The big black cat"
t = parsetree(s)
print(match("{JJ?+} NN", t).group(1))
print("")
# Note the { } wrapper, indicating a group.
# The group can be retrieved from the match as a list of words.
# Suppose we are looking for prepositional noun phrases,
# e.g., on the mat, with a fork, under the hood, etc...
# The preposition is always one word (on, with, under),
# but the actual noun phrase can have many words (a shiny silver fork),
# so it is a hassle to retrieve it from the match.
# Normally, we would do it like this:
s = "The big black cat sat on the mat."
t = parsetree(s)
from pattern.search import search, match
from pattern.en import parsetree
# This example demonstrates an interesting search pattern that mines for comparisons.
# Notice the use of the constraint "be".
# If the output from the parser includes word lemmas (e.g., "doing" => "do")
# these will also be matched. Using "be" then matches "is", "being", "are", ...
# and if underspecification is used "could be", "will be", "definitely was", ...
p = "NP be ADJP|ADVP than NP"
for s in (
"the turtle was faster than the hare",
"Arnold Schwarzenegger is more dangerous than Dolph Lundgren"):
t = parsetree(s, lemmata=True) # parse lemmas
m = search(p, t)
if m:
# Constituents for the given constraint indices:
# 0 = NP, 2 = ADJP|ADVP, 4 = NP
print(m[0].constituents(constraint=[0,2,4]))
print()
p = "NP be ADJP|ADVP than NP"
t = parsetree("the turtle was faster than the hare", lemmata=True)
m = match(p, t)
print(t)
print()
for w in m.words:
print(w, " \t=>", m.constraint(w))
def parse_message(self, text, usernick, channel):
if channel != self.chan:
userOrFalse = usernick
else:
userOrFalse = False
words = re.findall(r"\b[\w]+\b", text.lower())
tokens = text.lower().split()
original_words = words[:]
try:
words.remove(self.nick)
except:
pass
try:
words.remove('hst')
except:
pass
try:
tree = parsetree(' '.join(words))
firstNoun = match('NN|NNS|NNP|NNPS', tree)
except:
firstNoun = None
# print original_words
if self.nick in original_words:
if set(words) & set(['help', 'commands']):
commandsTemp = Template(self.commands)
self.send_msg(
commandsTemp.substitute(usernick=usernick, botnick=self.nick),
channel=userOrFalse
)
elif '?' in text or (set(words) & set(['who', 'where', 'when', 'what', 'why', 'how'])):
fileObj = open('weird_grammar.json', 'r')
jsonObj = json.load(fileObj)
fileObj.close()
s = sentiment(text)[0]
if s > 0:
print s * 2500 + 1
self.send_msg(
make_polar(jsonObj, int(s * 2500 + 1)),
channel=userOrFalse
)
else:
print s * 2500 - 1
self.send_msg(
make_polar(jsonObj, int(s * -2500 - 1), sent=0),
channel=userOrFalse
)
elif firstNoun is not None:
print firstNoun.string.replace('_', ' ')
s = sentiment(text)[0]
sentences = sorted(
pf_sentences(abs(s*1000+3), firstNoun.string.replace('_', ' ')),
key = lambda x: sentiment(x)[0]
)
if s > 0:
# print s * 2500 + 1
self.send_msg(
' '.join(sentences[-3:]),
channel=userOrFalse
)
else:
# print s * 2500 - 1
self.send_msg(
' '.join(sentences[:3]),
channel=userOrFalse
)
else:
snarkTemp = Template(rc(self.snarklist))
self.send_msg(
snarkTemp.substitute(usernick=usernick, botnick=self.nick),
channel=userOrFalse
)
if tokens[0] == '.seen':
tgt_user = tokens[1]
if tgt_user in self.seen_dict:
last_time, last_msg = self.seen_dict[tgt_user]
self.send_msg(
"%s: %s last seen on %s saying: %s" % (usernick, tgt_user, last_time, last_msg),
channel=userOrFalse
)
else:
self.send_msg(
"%s: I haven't seen %s." % (usernick, tgt_user),
channel=userOrFalse
)
elif tokens[0] == '.tell':
tgt_user = tokens[1]
if not tgt_user in self.tells_dict:
self.tells_dict[tgt_user] = []
self.tells_dict[tgt_user].append((usernick, ' '.join(tokens[2:])))
self.send_msg(
"%s: Ok, I'll tell %s that for you." % (usernick, tgt_user),
channel=userOrFalse
)
with open('tells_dict.json', 'w') as outfile:
json.dump(self.tells_dict, outfile)
elif tokens[0] == '.showtells':
if not usernick in self.tells_dict or not self.tells_dict[usernick]:
self.send_msg("%s: I have nothing for you." % usernick, channel=usernick)
else:
while self.tells_dict[usernick]:
src_user, tell_msg = self.tells_dict[usernick].pop()
self.send_msg("%s said: %s" % (src_user, tell_msg), channel=usernick)
with open('tells_dict.json', 'w') as outfile:
json.dump(self.tells_dict, outfile)
elif tokens[0] == '.gif':
gif_url = get_gif(tokens[1:])
self.send_msg("%s: %s" % (usernick, gif_url), channel=userOrFalse)
elif tokens[0] == '.wiki':
try:
wiki_url, wiki_text = get_wiki_article(tokens[1:])
except:
self.send_msg(
"%s: I'm sorry, but something went wrong!" % usernick,
channel=userOrFalse
)
else:
if wiki_text:
safe_wiki_text = ''.join(list(wiki_text)[:300]).replace('\n', ' ') + '...'
safe_wiki_text = safe_wiki_text.encode('ascii', 'ignore')
self.send_msg(
"%s: %s | %s" % (usernick, wiki_url, safe_wiki_text),
channel=userOrFalse
)
else:
self.send_msg(
"%s: I'm sorry, but something went wrong!" % usernick,
channel=userOrFalse
)
elif tokens[0] == '.yt':
try:
result = youtube_search(tokens[1:])
result = map(lambda x: x.encode('ascii', 'ignore'), result)
title, desc, vidId = result
self.send_msg(
"%s: %s | %s | https://www.youtube.com/watch?v=%s" % (usernick, title, desc, vidId),
channel=userOrFalse
)
except:
self.send_msg(
"%s: I'm sorry, but something went wrong!" % usernick,
channel=userOrFalse
)
elif tokens[0] == '.hst':
# self.send_msg('/nick drgonzo')
if firstNoun is not None:
lookupFile = open("hst_lookup.json", 'r')
lookup = json.load( lookupFile )
lookupFile.close()
nounStem = stem(firstNoun, stemmer=PORTER)
idHash = None
print nounStem
try:
# switch to descending
idHash = rc(lookup[nounStem])
print idHash
except KeyError:
pass
try:
idHash = rc(lookup[firstNoun])
print idHash
except KeyError:
pass
if idHash is not None:
bookFile = open("hst_text.json", 'r')
books = json.load( bookFile )
bookFile.close()
text = books[idHash].encode('ascii', 'ignore')
# print text
self.send_msg("%s: %s"%(usernick,text), channel=userOrFalse)
else:
self.send_msg("%s: Can't say I know it." % usernick, channel=userOrFalse)
else:
self.send_msg("%s: Nothing to say about that." % usernick, channel=userOrFalse)
# self.send_msg('/nick itpbot')
if "ross" in words:
self.send_msg("%s: I hope you're not speaking ill of my creator." % usernick, channel=userOrFalse)
if "itp" in words:
message = rand_itp_acronym()
self.send_msg(message, channel=userOrFalse)