def test_gibberish_classification():
assert classify_gibberish("This is code: <pre>code</pre>", "stackoverflow.com") \
== classify_gibberish("This is code:", "superuser.com")
assert classify_gibberish("", "stackoverflow.com") == (False, 1)
assert classify_gibberish("asaaasaadsapgoeaaaaafallppppp", "stackoverflow.com")[0] is True
assert classify_gibberish("Try this\n<pre><code>some code here</code></pre>", "stackoverflow.com") \
== (False, 1)
def make_api_call_for_site(self, site):
posts = self.queue.pop(site)
if site == "stackoverflow.com":
# Not all SO questions are shown in the realtime feed. We now
# fetch all recently modified SO questions to work around that.
min_query = ""
if self.last_activity_date != 0:
min_query = "&min=" + str(self.last_activity_date)
pagesize = "50"
else:
pagesize = "25"
url = "http://api.stackexchange.com/2.2/questions?site=stackoverflow&filter=!4y_-sca-)pfAwlmP_1FxC6e5yzutRIcQvonAiP&key=IAkbitmze4B8KpacUfLqkw((&pagesize=" + pagesize + min_query
else:
url = "http://api.stackexchange.com/2.2/questions/" + ";".join(
str(x) for x in posts
) + "?site=" + site + "&filter=!4y_-sca-)pfAwlmP_1FxC6e5yzutRIcQvonAiP&key=IAkbitmze4B8KpacUfLqkw(("
# wait to make sure API has/updates post data
time.sleep(60)
try:
response = requests.get(url, timeout=20).json()
except requests.exceptions.Timeout:
return # could add some retrying logic here, but eh.
if "quota_remaining" in response:
GlobalVars.apiquota = response["quota_remaining"]
else:
GlobalVars.apiquota = 0
return
if site == "stackoverflow.com":
if len(response["items"]
) > 0 and "last_activity_date" in response["items"][0]:
self.last_activity_date = response["items"][0][
"last_activity_date"]
for post in response["items"]:
if "title" not in post or "body" not in post:
continue
title = GlobalVars.parser.unescape(post["title"])
body = GlobalVars.parser.unescape(post["body"])
link = post["link"]
try:
owner_name = GlobalVars.parser.unescape(
post["owner"]["display_name"])
owner_link = post["owner"]["link"]
owner_rep = post["owner"]["reputation"]
except:
owner_name = ""
owner_link = ""
owner_rep = 0
q_id = str(post["question_id"])
if owner_rep <= 50:
is_spam, reason, why = check_if_spam(title, body, owner_name,
owner_link, site, q_id,
False, False)
if is_spam:
try:
handle_spam(title, body, owner_name, site, link,
owner_link, q_id, reason, False, why)
except:
print "NOP"
classified, gibberish_score = classify_gibberish(body, site)
if classified and gibberish_score >= 65:
GlobalVars.bayesian_testroom.send_message(
"[ SmokeDetector | GibberishClassifierBeta ] "
u"Potential gibberish body ({}%): [{}]({}) on `{}`".format(
gibberish_score, title, link, site))
try:
for answer in post["answers"]:
answer_title = ""
body = answer["body"]
print "got answer from owner with name " + owner_name
link = answer["link"]
a_id = str(answer["answer_id"])
try:
owner_name = GlobalVars.parser.unescape(
answer["owner"]["display_name"])
owner_link = answer["owner"]["link"]
owner_rep = answer["owner"]["reputation"]
except:
owner_name = ""
owner_link = ""
owner_rep = 0
if owner_rep <= 50:
is_spam, reason, why = check_if_spam(
answer_title, body, owner_name, owner_link, site,
a_id, True, False)
if is_spam:
try:
handle_spam(title, body, owner_name, site,
link, owner_link, a_id, reason,
True, why)
except:
print "NOP"
classified, gibberish_score = classify_gibberish(
body, site)
if classified and gibberish_score >= 65:
GlobalVars.bayesian_testroom.send_message(
"[ SmokeDetector | GibberishClassifierBeta ] "
u"Potential gibberish answer ({}%): [{}]({}) on `{}`"
.format(gibberish_score, title, link, site))
except:
print "no answers"
return
def make_api_call_for_site(self, site):
posts = self.queue.pop(site)
if site == "stackoverflow.com":
# Not all SO questions are shown in the realtime feed. We now
# fetch all recently modified SO questions to work around that.
min_query = ""
if self.last_activity_date != 0:
min_query = "&min=" + str(self.last_activity_date)
pagesize = "50"
else:
pagesize = "25"
url = (
"http://api.stackexchange.com/2.2/questions?site=stackoverflow&filter=!4y_-sca-)pfAwlmP_1FxC6e5yzutRIcQvonAiP&key=IAkbitmze4B8KpacUfLqkw((&pagesize="
+ pagesize
+ min_query
)
else:
url = (
"http://api.stackexchange.com/2.2/questions/"
+ ";".join(str(x) for x in posts)
+ "?site="
+ site
+ "&filter=!4y_-sca-)pfAwlmP_1FxC6e5yzutRIcQvonAiP&key=IAkbitmze4B8KpacUfLqkw(("
)
# wait to make sure API has/updates post data
time.sleep(60)
try:
response = requests.get(url, timeout=20).json()
except requests.exceptions.Timeout:
return # could add some retrying logic here, but eh.
if "quota_remaining" in response:
GlobalVars.apiquota = response["quota_remaining"]
else:
GlobalVars.apiquota = 0
return
if site == "stackoverflow.com":
if len(response["items"]) > 0 and "last_activity_date" in response["items"][0]:
self.last_activity_date = response["items"][0]["last_activity_date"]
for post in response["items"]:
if "title" not in post or "body" not in post:
continue
title = GlobalVars.parser.unescape(post["title"])
body = GlobalVars.parser.unescape(post["body"])
link = post["link"]
try:
owner_name = GlobalVars.parser.unescape(post["owner"]["display_name"])
owner_link = post["owner"]["link"]
owner_rep = post["owner"]["reputation"]
except:
owner_name = ""
owner_link = ""
owner_rep = 0
q_id = str(post["question_id"])
if owner_rep <= 50:
is_spam, reason, why = check_if_spam(title, body, owner_name, owner_link, site, q_id, False, False)
if is_spam:
try:
handle_spam(title, body, owner_name, site, link, owner_link, q_id, reason, False, why)
except:
print "NOP"
classified, gibberish_score = classify_gibberish(body, site)
if classified and gibberish_score >= 65:
GlobalVars.bayesian_testroom.send_message(
"[ SmokeDetector | GibberishClassifierBeta ] "
u"Potential gibberish body ({}%): [{}]({}) on `{}`".format(gibberish_score, title, link, site)
)
try:
for answer in post["answers"]:
answer_title = ""
body = answer["body"]
print "got answer from owner with name " + owner_name
link = answer["link"]
a_id = str(answer["answer_id"])
try:
owner_name = GlobalVars.parser.unescape(answer["owner"]["display_name"])
owner_link = answer["owner"]["link"]
owner_rep = answer["owner"]["reputation"]
except:
owner_name = ""
owner_link = ""
owner_rep = 0
if owner_rep <= 50:
is_spam, reason, why = check_if_spam(
answer_title, body, owner_name, owner_link, site, a_id, True, False
)
if is_spam:
try:
handle_spam(title, body, owner_name, site, link, owner_link, a_id, reason, True, why)
except:
print "NOP"
classified, gibberish_score = classify_gibberish(body, site)
if classified and gibberish_score >= 65:
GlobalVars.bayesian_testroom.send_message(
"[ SmokeDetector | GibberishClassifierBeta ] "
u"Potential gibberish answer ({}%): [{}]({}) on `{}`".format(
gibberish_score, title, link, site
)
)
except:
print "no answers"
return
def make_api_call_for_site(self, site):
posts = self.queue.pop(site)
url = "http://api.stackexchange.com/2.2/questions/" + ";".join(str(x) for x in posts) + "?site=" + site + "&filter=!4y_-sca-)pfAwlmP_1FxC6e5yzutRIcQvonAiP&key=IAkbitmze4B8KpacUfLqkw(("
# wait to make sure API has/updates post data
time.sleep(60)
try:
response = requests.get(url, timeout=20).json()
except requests.exceptions.Timeout:
return # could add some retrying logic here, but eh.
if "quota_remaining" in response:
GlobalVars.apiquota = response["quota_remaining"]
else:
GlobalVars.apiquota = 0
return
for post in response["items"]:
if "title" not in post or "body" not in post:
continue
title = GlobalVars.parser.unescape(post["title"])
body = GlobalVars.parser.unescape(post["body"])
link = post["link"]
try:
owner_name = GlobalVars.parser.unescape(post["owner"]["display_name"])
owner_link = post["owner"]["link"]
owner_rep = post["owner"]["reputation"]
except:
owner_name = ""
owner_link = ""
owner_rep = 0
q_id = str(post["question_id"])
is_spam, reason = check_if_spam(title, body, owner_name, owner_link, site, q_id, False, False)
if owner_rep <= 50 and is_spam:
try:
handle_spam(title, owner_name, site, link, owner_link, q_id, reason, False)
except:
print "NOP"
classified, gibberish_score = classify_gibberish(body, site)
if classified and gibberish_score >= 65:
GlobalVars.bayesian_testroom.send_message(
"[ SmokeDetector | GibberishClassifierBeta ] "
"Potential gibberish body (%s%%): [%s](%s) on `%s`"
% (gibberish_score, title, link, site)
)
try:
for answer in post["answers"]:
answer_title = ""
body = answer["body"]
print "got answer from owner with name " + owner_name
link = answer["link"]
a_id = str(answer["answer_id"])
try:
owner_name = GlobalVars.parser.unescape(answer["owner"]["display_name"])
owner_link = answer["owner"]["link"]
owner_rep = answer["owner"]["reputation"]
except:
owner_name = ""
owner_link = ""
owner_rep = 0
is_spam, reason = check_if_spam(answer_title, body, owner_name, owner_link, site, a_id, True, False)
if owner_rep <= 50 and is_spam:
try:
handle_spam(title, owner_name, site, link, owner_link, a_id, reason, True)
except:
print "NOP"
classified, gibberish_score = classify_gibberish(body, site)
if classified and gibberish_score >= 65:
GlobalVars.bayesian_testroom.send_message(
"[ SmokeDetector | GibberishClassifierBeta ] "
"Potential gibberish answer (%s%%): [%s](%s) on `%s`"
% (gibberish_score, title, link, site)
)
except:
print "no answers"
return
