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December 9, 2017 00:48
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import time | |
import appoptics | |
#import the loader so modules get instrumented | |
from appoptics import loader | |
loader.load_inst_modules() | |
#functions using the log_method decorator will show up as custom spans in AppOptics | |
@appoptics.log_method('function_1_layer') | |
def function_1(): | |
print 'this is a function' | |
time.sleep(1) | |
@appoptics.log_method('function_2_layer') | |
def function_2(): | |
print 'this is another function' | |
time.sleep(1) | |
start_time = time.time() * 1e6 # start time for metric span | |
trace = appoptics.start_trace('Python', keys=None, xtr=None) # start a trace | |
# This is where the work happens | |
function_1() | |
function_2() | |
function_1() | |
function_2() | |
trace_context = appoptics.end_trace('Python') #end the trace | |
stop_time = time.time() * 1e6 # stop the timing for the metric span | |
status_code = 200 # set the status code of the current trasaction (maps to the UI) | |
# Create metric span | |
appoptics.util.SwigSpan.createHttpSpan( | |
None, "analyze prices", int(stop_time - start_time), status_code, | |
"GET", 499 < status_code < 600, | |
) | |
print 'Exit' |
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