New Relic (Stats and Tracing)

import os
import time
from opencensus.trace.tracer import Tracer
from opencensus.trace import samplers
from opencensus_ext_newrelic import NewRelicTraceExporter

newrelic = NewRelicTraceExporter(
    insert_key=os.environ["NEW_RELIC_INSERT_KEY"], service_name="Example Service"
)

tracer = Tracer(exporter=newrelic, sampler=samplers.AlwaysOnSampler())

with tracer.span(name="main") as span:
    time.sleep(0.5)

# Send all data and stop the exporter
newrelic.stop()

import os
import time
from opencensus.stats import aggregation as aggregation_module
from opencensus.stats import measure as measure_module
from opencensus.stats import stats as stats_module
from opencensus.stats import view as view_module
from opencensus_ext_newrelic import NewRelicStatsExporter

# The stats recorder
stats = stats_module.stats
view_manager = stats.view_manager
stats_recorder = stats.stats_recorder
newrelic = NewRelicStatsExporter(
    os.environ["NEW_RELIC_INSERT_KEY"], service_name="Example Service"
)
view_manager.register_exporter(newrelic)

# Create the measures and views
# The latency in milliseconds
m_latency_ms = measure_module.MeasureFloat(
    "task_latency", "The task latency in milliseconds", "ms"
)

latency_view = view_module.View(
    "task_latency_latest",
    "The latest task latency",
    [],
    m_latency_ms,
    aggregation_module.LastValueAggregation(),
)

view_manager.register_view(latency_view)
mmap = stats_recorder.new_measurement_map()

# Record a metric
mmap.measure_float_put(m_latency_ms, 50)
mmap.record()

# Send all data and stop the exporter
newrelic.stop()