def ts_command(m=-1): # The metric id to print data for.
c = conn()
if m > 0:
metric = Metric.get(c, m)
datetimes, values = metric.ts(c)
for i, value in enumerate(values):
print "%s: %s" % (datetimes[i], value)
def values_command(m=-1, s=-1): # The metric id to print data for. # The survey id to print data for.
"""
Returns space-separated data for a metric, or longer form data for a survey.
Metric output can be piped to spark. https://github.com/holman/spark
"""
c = conn()
if m > 0:
metric = Metric.get(c, m)
datetimes, values = metric.ts(c)
print " ".join("%s" % v for v in values)
elif s > 0:
survey = Survey.get(c, s)
for row in survey.data(c):
print row["created_at"]
print row["value"]
print ""
def record_metric(m, value="None"):
c = ado.commands.conn()
if m < 0:
Metric.printall(c)
raw_m = ado.commands.clean_input("Choose a metric number: ")
if raw_m:
m = int(raw_m)
else:
sys.stderr.write("No metric chosen.\n")
sys.exit(1)
if value == "None":
metric = Metric.get(c, m)
print "Record Metric %s) %s" % (metric.id, metric.name)
print metric.description
value = float(ado.commands.clean_input("> "))
md = MetricData.create(c, metric_id=m, value=value, created_at=datetime.now())
print md.display_line()
