def enqueue(cls, req):
"""Call it to get all the needed params from the logging request.
"""
widx = cls.FJ_Queue.next_index()
logging.info(Dimentions.get_stats(req))
Data(data=json.dumps(Dimentions.get_stats(req)), work_index=widx).put()
cls.FJ_Queue.add(widx)
return
def calc_req_tag_val(cls, req):
"(dimention, (tag,value)) pairs"
ph_id = req.get("ph_id")
log(json.loads(req.get("data")))
entries = cls.__entry_list(json.loads(req.get("data")))
cats = Dimentions.get_dim_and_met(req, req.get("time"))
result = {"aggregate": {}, "timeline": {}}
for i in ["aggregate", "timeline"]:
res = result[i]
stat = cats[i]
for c in stat:
typ = slashify(ph_id, c[0])
if typ in res:
logging.error(" the string should be unique for a single request:" + typ)
res[typ] = {c[1]: entries}
return result
