def GET(self, id=None, format='json'):
if id:
if id.startswith("/"):
id = id[1:]
id = unquote(id)
#if id.find("%3A") != -1:
# id = ":".join(id.split("%3A"))
params = {'pid': id}
params['label'] = titlelookup(id)
params['dlist'], params['dates'], params['total'] = item_stats(
id, r)
if params['dlist']:
params['sparkline_url'] = get_dateline_url(
params['dlist'], params['dates'])
else:
params[
'sparkline_url'] = "http://ora.ouls.ox.ac.uk/ora_logo.png"
params['entities'] = get_entities_in_pid(id, r)
options = web.input()
if 'geo' in options:
params['geousage_url'] = get_gchart_map_for_pid(id, r)
format = options.get('format', format)
if format == "html":
return render.item(**params)
return simplejson.dumps(params)
else:
return render.item_form()
def get_top_dls(r, size=10):
topitems = []
scores = []
for total_key in r.keys("t:dls:uuid*"):
score = r.get(total_key)
heappush(scores, (int(score), total_key[6:]))
for item in nlargest(size, scores):
topitems.append((item[0], item[1], titlelookup(item[1])))
return topitems
def print_item_stats(pid,r,gen_charts=False):
dlist, dates, total = item_stats(pid, r)
print "Results for %s" % pid
print "Title: %s" % titlelookup(pid)
print "Totals - Views: %(v)s, Downloads: %(d)s, Other: %(o)s" % total
print "Breakdown:"
for date in dlist:
print "%s" % date + " - Views: %(v)s, Downloads: %(d)s, Other: %(o)s" % dates[date]
if gen_charts:
print "Google Chart url for the user breakdown - (Red - heaviest usage, yellow - weakest)"
print "%s" % get_gchart_map_for_pid(pid, r)
print "Google Sparkline for item activity"
print get_dateline_url(dlist, dates)
def analyse_past_days_dls(r, keyname, days=30, size=None, exclude=[]):
n = datetime.now()
dl_keys = []
for day in xrange(days):
tdate = n + timedelta(days=-day)
dl_keys.extend([x for x in r.keys("%s:uuid*" % (tdate.strftime("%Y-%m-%d"))) if x.endswith("d")])
tally = {}
for k in dl_keys:
pid = "uuid:" + k.split(":")[2]
if pid not in exclude:
if not tally.has_key(pid):
tally[pid] = 0
tally[pid] = tally[pid] + r.scard(k)
heap = []
for pid in tally:
heappush(heap, (tally[pid], pid, titlelookup(pid)))
if size and isinstance(size, int):
heap = nlargest(size, heap)
r.set("analysis:%s" % keyname, simplejson.dumps({'now':n.isoformat(),
'days':days,
'size':size,
'results':heap}) )
return heap
def GET(self, id = None, format = 'json'):
if id:
if id.startswith("/"):
id = id[1:]
id = unquote(id)
#if id.find("%3A") != -1:
# id = ":".join(id.split("%3A"))
params = {'pid':id}
params['label'] = titlelookup(id)
params['dlist'], params['dates'], params['total'] = item_stats(id, r)
if params['dlist']:
params['sparkline_url'] = get_dateline_url(params['dlist'], params['dates'])
else:
params['sparkline_url'] = "http://ora.ouls.ox.ac.uk/ora_logo.png"
params['entities'] = get_entities_in_pid(id, r)
options = web.input()
if 'geo' in options:
params['geousage_url'] = get_gchart_map_for_pid(id, r)
format = options.get('format', format)
if format == "html":
return render.item(**params)
return simplejson.dumps(params)
else:
return render.item_form()
def entity_found_in_items(phrase, r):
return [(titlelookup(pid), pid) for pid in (r.smembers("e:%s" % phrase) or [])]
print "Generating geo charts"
gen_charts = True
else:
phrase_tokens.append(argv)
phrase = " ".join(phrase_tokens)
if phrase in prefixes:
if csvfile:
save_set(phrase, r, limit, startswith, csvfile, verbose=True)
else:
print_browse_set(phrase, r, limit, startswith)
elif phrase.count(":") == 1:
if phrase.startswith("uuid") or phrase.startswith("ora"):
print_item_stats(phrase, r, gen_charts)
else:
print_entity_report(phrase, r, gen_charts)
else:
print "Trying to find freetext %s" % phrase
for tagtype in prefixes:
tag = entity_existence(phrase, tagtype, r)
if tag and (limit == 0 or combined_count(r.get("t:views:%s" % tag), r.get("t:dls:%s" % tag)) > limit):
print "Found %s (type: %s) for %s" % (tag, tagtype, phrase)
print "Views: %s, Downloads: %s, Other: %s" % (r.get("t:views:%s" % tag), r.get("t:dls:%s" % tag), r.get("t:other:%s" % tag))
print "Entity %s(in %s) found in the following items" % (phrase, tagtype)
for pid in (r.smembers("e:%s" % tag) or []):
print '"%s" - %s' % (titlelookup(pid), pid)
if gen_charts:
print "Geo-breakdown (yellow -> red) %s" % get_gchart_map_for_pid(pid, r)
print "------------------------------------------------------"