# assuming ndom are unique
with open(sys.argv[1]) as f:
aliaspair = [(normalize(k),set(v)) for k,v in json.loads(f.readline()).items()]
aliasdict = {}
for k,v in aliaspair:
if not k in aliasdict: aliasdict[k] = set()
aliasdict[k] = aliasdict[k].union(v)
qlsPerDomain = 6 if len(sys.argv) < 3 else int(sys.argv[2])
keepFewQls = False if len(sys.argv) < 4 else eval(str(sys.argv[3]))
pd = None
printed_domain=set()
for line in stdgen('lastdomain\tlastql\tlasttitle\t0.0'):
tmp = line.strip('\r\t\n ').split('\t')
domain, ql, title, score = tmp
if not domain == pd:
if not pd == None:
ret = sorted(ret,key=lambda t:float(t[3]), reverse=True)[:qlsPerDomain]
if keepFewQls or len(ret) == qlsPerDomain:
aliases = aliasdict.get(ndom, [pd])
for alias in aliases:
if alias not in printed_domain:
print '\n'.join('\t'.join(map(fixstr,[alias] + r[1:4])) for r in ret)
printed_domain.add(alias)
ret = []
ndom = normalize(domain)
pd = domain
100, 200, 300, 500, 1000, 2000, 3000, 5000, 10000, 20000, 30000,
100000, 1000000000
]
#nvs = [1,10,20,40,100, 250, 500,1000,10000,100000000000]
nvs = [1, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400, 500, 1000]
cts = [
0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13,
0.14, 0.15, 0.2, 0.3, 0.5, 1.0, 100
]
thresholds = [(nv, nc, ct) for nv in nvs for nc in ncs for ct in cts]
nths = len(thresholds)
if mode == 'map':
pd = None
for line in stdgen('\t'.join(['last'] * 11)):
# input schema: parent_url url ql_txt bucid nviews nviews_cond nclicks nviews_dom nclicks_dom ctr ctr_cond
parent_url, url, ql_txt, bucid, nviews, nviews_cond, nclicks, _, _, ctr, ctr_cond = line.strip(
'\r\t\n ').split('\t')
if parent_url == 'last': break
if not pd == parent_url:
if not pd == None and len(ret) >= 6:
ret = sorted(ret, key=lambda t: t[-1], reverse=True)[:6]
nviews_dom = sum(t[1] for t in ret) / 6.0
nclicks_dom = sum(t[2] for t in ret)
ctr_dom = nclicks_dom / nviews_dom
binaries = map(
int,
map(
# other choice is combinedCtrEditGbdtModel
exec("modelfunc = %s" % sys.argv[5])
featgps = [t.split(',') for t in featgps.split('+')]
logging.warning('featgps = %s' % (str(featgps)))
featnames = [t for g in featgps for t in g]
models = [GbdtModelJson(f) for f in gbdtxml]
if len(sys.argv) > 6:
nfeats = map(int, sys.argv[6].split(','))
pd = None
for line in stdgen('\t'.join(['domain', 'ql', 'title', '-1.0'] +
['[]' for i, c in enumerate(featgps)])):
tmp = line.strip('\n\t').split(
'\t'
) # for hadoop streaming, stripping trailing tab is almost always a good idea
domain, ql, title, sublinkscore = tmp[:4]
try:
sublinkscore = float(sublinkscore)
except:
logging.warning('float cast error: ' + str(sublinkscore))
if not pd == domain or domain == 'domain':
if not pd == None:
ret2 = sorted([t[1:4] + [
mildsigmoid(
modelfunc(
dict(
nql = normalize(tmp[1])
if not ndom in wl: wl[ndom] = {}
if not nql in wl[
ndom] and not rankbyctr: # or any other predefined wl score; for editorial whitelist, cannot rank by ctr
score = 1.0 / (len(wl[ndom]) + 1.0
) # assume wl results are ranked
tmp[3] = score
wl[ndom][nql] = tmp
elif rankbyctr and (not nql in wl[ndom]
or wl[ndom][nql][3] < float(tmp[3])):
tmp[3] = float(tmp[3])
wl[ndom][nql] = tmp
pd = None
for line in stdgen('lastdomain\tlastql\tlasttitle\t0.0'
): # use first line as lastline
tmp = line.strip('\n').split('\t')
domain = tmp[0]
if not pd == domain:
if not pd == None:
for nql, v in wldom.items(): # whitelist enhancement
# first title enhancement
if (ndom, nql) in ret and not edit:
title = ret[(ndom, nql)][2]
else:
title = v[2]
# next ranking enhancement
if (ndom, nql) in ret and rankbyscore:
bingtitleindex = None
if len(sys.argv) > 3:
bingtitleindex = int(sys.argv[3])
pd = None
printheaders = 0
if printheaders:
print '\t'.join(['clicks','domain','ql','bingtitle','pagetitle','intanc','extanc','newpagetitle','newintancs','newextancs'])
pts = None
for line in stdgen('domain\tql\tredt\tpagetitle\twmdata\tdom_title\tdom_wmdata\tbingtitle'):
# throw away dom_wmdata
line = line.strip('\n')
if line.count('\t') > 7: line = line.strip('\t')
tmp = line.split('\t')
domain, ql, redt, pagetitle, wmdata = tmp[:5]
if not bingtitleindex == None: bingtitle = tmp[bingtitleindex]
elif len(tmp) >= 8:
bingtitle = tmp[7]
else:
bingtitle = None
nurl = normalize(ql)
clicks = str(clickdict.get(nurl,0.0))
if not only_roman_chars(pagetitle): pagetitle = ''
bingtitle = ud(bingtitle)
beautify = True
if len(sys.argv ) > 3:
beautify = eval(str(beautify))
scoreidx = 6
if len(sys.argv )> 4:
scoreidx = int(sys.argv[4])
if len(sys.argv) > 5: # for debugging purpose
mode = sys.argv[5]
swapDict = {scoreidx:3,3:scoreidx}
revSwapDict = reverseDict(swapDict)
if mode == 'debug':
pd = None
for line in stdgen('None2\tNone2\tNone2\t0.0'):
# domain ql title score
tmp = line.strip('\n').split('\t')
domain, ql, title = tmp[:3]
score = float(tmp[3])
ndom = normalize(domain)
if not pd == ndom:
if not pd == None:
print '\n'.join('\t'.join(map(str,t)) for t in QlPostProcess(ndom,inputbag,strong=True,nitems=10,sortby=3, dedup=True, beautify=True))
inputbag = []
pd = ndom
inputbag.append([domain, ql, title, score])
else:
pd = None
for line in stdgen(('None\t' * 11)[:-1]):