OpenTelemetry-Installation für Python

opentelemetry-api
opentelemetry-sdk
opentelemetry-exporter-otlp-proto-http

opentelemetry-instrumentation-celery
opentelemetry-instrumentation-django

import os
import subprocess
import socket

from opentelemetry import trace, metrics
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.sdk.metrics.export import (
    AggregationTemporality,
    PeriodicExportingMetricReader,
)
from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
    OTLPSpanExporter
)
from opentelemetry.exporter.otlp.proto.http.metric_exporter import (
    OTLPMetricExporter
)

def initialize_opentelemetry(service_name):
    # Replace these values with your AppSignal application name, environment
    # and push API key. These are used by the resource attributes configuration below.
    name = "My app"
    push_api_key = "0000-0000-0000-0000"
    environment = "development"

    # Replace `http://localhost:8099` with the address of your AppSignal collector
    # if it's running on another host.
    endpoint = "http://localhost:8099"

    revision = subprocess.check_output(
        "git rev-parse --short HEAD", shell=True, text=True
    ).strip()

    resource = Resource(attributes={
        "appsignal.config.name": name,
        "appsignal.config.environment": environment,
        "appsignal.config.push_api_key": push_api_key,
        "appsignal.config.revision": revision,
        "appsignal.config.language_integration": "python",
        "appsignal.config.app_path": os.getcwd()
        "host.name": socket.gethostname(),
        # Customize the service name
        "service.name": service_name,
    })

    trace_provider = TracerProvider(resource=resource)
    span_processor = BatchSpanProcessor(
        OTLPSpanExporter(endpoint=f"{collector_host}/v1/traces")
    )
    trace_provider.add_span_processor(span_processor)
    trace.set_tracer_provider(trace_provider)

    metric_exporter = OTLPMetricExporter(
        endpoint=f"{collector_host}/v1/metrics",
    )
    metric_reader = PeriodicExportingMetricReader(
        metric_exporter,
        export_interval_millis=10000
    )
    metric_provider = MeterProvider(
        resource=resource,
        metric_readers=[metric_reader]
    )
    metrics.set_meter_provider(metric_provider)

# Add this below the OpenTelemetry initialization

from opentelemetry.instrumentation.django import DjangoInstrumentor
from opentelemetry.instrumentation.celery import CeleryInstrumentor

DjangoInstrumentor().instrument()
CeleryInstrumentor().instrument()

from .appsignal import initialize_opentelemetry

# Set the name of the service that is being monitored. A common choice is the
# name of the framework used. This is used to group traces and metrics in AppSignal.
service_name = "Django"

initialize_opentelemetry(service_name)

@worker_process_init.connect(weak=False)
def init_celery_tracing(*args, **kwargs):
    from .appsignal import initialize_opentelemetry

    # Set the name of the service that is being monitored. A common choice is the
    # name of the framework used. This is used to group traces and metrics in AppSignal.
    service_name = "Celery"

    initialize_opentelemetry(service_name)