def callback(ch, method, properties, body):
m = loads(body)
print "getting credit score for:", body
score = getCreditScore(m['ssn'])
print "got credit score:", score
m['score'] = str(score)
publish_to_q("localhost", BANK_ENRICHER_QUEUE, dumps(m), properties)
def callback(ch, method, properties, body):
print "raw bank response body:", body
mtype = properties.correlation_id[8:]
mid = properties.correlation_id[:8]
properties.correlation_id = mid
message = tr.loads(body, mtype)
message["type"] = mtype
publish_to_q("localhost", AGGREGATOR_QUEUE, dumps(message), properties)
def callback(ch, method, properties, body):
m = loads(body)
res = loads(body)
del res["banks"]
final_message = dumps(res)
print "received message", body, "sending to", len(m["banks"])
for t in TRANSLATORS:
if t in m["banks"]:
publish_to_q("localhost", t, final_message, properties)
def callback(ch, method, properties, body):
properties.correlation_id += "bdo"
properties.reply_to = NORMALIZER_QUEUE
m = loads(body)
print "BDO: ", m
#pretend to get a response, send to normalizer
m = loads(tr.dumps(m, "bdo"))
del m['loanAmount']
del m['loanDuration']
rating = random.randint(2, 50)
m["interestRate"] = rating
print m
publish_to_q("datdb.cphbusiness.dk", NORMALIZER_QUEUE, dumps(m),
properties)
def callback(ch, method, properties, body):
m = loads(body)
# req = "http://127.0.0.1:3001/score/{0}".format(m['score'])
# print "requesting bank credit score service for score:", m['score']
# response = requests.get(req)
# banks = response.json()
banks = getBanks(int(m['score']))
m['banks'] = banks
#prepare aggregator for new message
await_message = {
"banks": banks,
"await_id": properties.correlation_id,
"type": "await",
}
publish_to_q(
'localhost', AGGREGATOR_QUEUE, dumps(await_message),
pika.BasicProperties(
correlation_id="{}await".format(properties.correlation_id)))
#send to list of banks through recepiant list
print "received banks:", banks
publish_to_q("localhost", RECIPIENT_LIST_QUEUE, dumps(m), properties)