def __init__(self):
handlers = [
(r"/", MainHandler),
(r"/interstellar/rampdiff", RampDiff),
(r"/interstellar/rebuildindex", RebuildIndex),
(r"/ntmadservice/runrisk", runriskHander),
(r"/ntmadservice/queryjob", queryjobsHandler)
]
settings = dict(debug=True)
tornado.web.Application.__init__(self, handlers, **settings)
self.menus = json.load(open("menuConfig.json"))
self.menus_mtime = os.path.getmtime(os.path.abspath("menuConfig.json"))
self.mad = maddb(json.load(open("madQuery.json")))
self.mongo = mongodb('mongodb://localhost:3001/', self.mad)
self.sysdate = datetime.today()
self.reglib = list(self.mongo.meteor.errtemplate.find({},{"_id":0}))
def jobqueueRefresh():
menus = json.load(open("menuConfig.json"))
sql = json.load(open("madQuery.json"))
mad = maddb(sql)
mongo = mongodb("mongodb://localhost:3001/")
baseDt = datetime.strftime(datetime.today() - timedelta(days=1), "%d/%m/%Y")
for loc, v in menus.items():
for farm, batches in v["monitor"].items():
if "MAD" in farm:
for batch, jobs in batches.items():
if len(jobs):
df = mad.progress_by_jobs(farm, baseDt, batch, ",".join(map(lambda x: "'%s'" % x, jobs)))
mongo.jobqueueUpdate(df)
else:
df = mad.progress_by_batch(farm, baseDt, batch)
mongo.jobqueueUpdate(df)