def CheckPopularity(ip):
# DUH
cache_path = os.path.join(CACHE_DIR, ip) + '.pickle.pickle'
if os.path.exists(cache_path):
f = open(cache_path)
results = pickle.load(f)
else:
print "miss: %s" % ip
try:
query = '"%s" %s' % (ip, QUERY_MODIFIERS)
srch = WebSearch(APP_ID, query=query, results=50)
results = srch.parse_results()
pf = open(cache_path, 'w')
pickle.dump(results.results, pf)
pf.close()
except yahoo.search.SearchError:
print "%s failed" % (ip)
return []
use_results = []
for result in results:
reject = False
for regexp in BANNED_URL_KEYWORDS:
if re.search(regexp, result['Url'], re.I):
reject = True
if not reject:
use_results.append(result)
return use_results
def queryYahoo(self, query):
from yahoo.search.web import WebSearch
srch = WebSearch(config.yahoo_appid, query=query, results=self.count)
dom = srch.get_results()
results = srch.parse_results(dom)
for res in results:
url = res.Url
yield url
def main():
if (len(sys.argv) != 4):
usage()
sys.exit(2)
srch = WebSearch(app_id=sys.argv[1])
srch.query = sys.argv[2]
# only the first 100 results are queryable
srch.results = sys.argv[3]
# Disable content filter to get all available results
srch.adult_ok = 1
LinkIdx = 0
for res in srch.parse_results():
LinkIdx = LinkIdx + 1
print res.Url
def CheckPopularity(ip):
cache_path = os.path.join(CACHE_DIR, ip) + '.pickle'
if os.path.exists(cache_path):
f = open(cache_path)
return pickle.load(f)
else:
try:
query = '"%s" %s' % (ip, QUERY_MODIFIERS)
srch = WebSearch(APP_ID, query=query, results=50)
results = srch.parse_results()
pf = open(cache_path + '.pickle', 'w')
pickle.dump(results.results, pf)
pf.close()
return results
except yahoo.search.SearchError:
print "%s failed" % (ip)
return []
return n
def printSortedDict(adict):
keys = adict.keys()
keys.sort()
for k in keys:
print k
print adict[k]['Title']
print adict[k]['Url']
print adict[k]['Summary']
print " "
app_id = "NCD-Probe-Demo"
srch = WebSearch(app_id, language='en')
srch.query = "Radisson"
srch.results = 50
dom = srch.get_results()
results = srch.parse_results(dom)
ranked = {}
for res in results:
# strip out search word from summary
summary = str(res['Summary'])
stripped_summary = summary.replace('Radisson', '')
distance = ncd_probe(xbytes, cx, stripped_summary)
dstr = 'NCD: ' + str(distance)
ranked[dstr] = res
