Python Custom Instrumentation using OpenTelemetry API
Cette page n'est pas encore disponible en français, sa traduction est en cours.
Si vous avez des questions ou des retours sur notre projet de traduction actuel,
n'hésitez pas à nous contacter.
Overview
There are a few reasons to manually instrument your applications with the OpenTelemetry API:
- You are not using Datadog supported library instrumentation.
- You want to extend the
ddtrace
library’s functionality. - You need finer control over instrumenting your applications.
The ddtrace
library provides several techniques to help you achieve these goals. The following sections demonstrate how to use the OpenTelemetry API for custom instrumentation to use with Datadog.
Setup
To configure OpenTelemetry to use the Datadog trace provider:
If you have not yet read the instructions for auto-instrumentation and setup, start with the Python Setup Instructions.
Set DD_TRACE_OTEL_ENABLED
environment variable to true
.
Creating custom spans
To create custom spans within an existing trace context:
from opentelemetry import trace
tracer = trace.get_tracer(__name__)
def do_work():
with tracer.start_as_current_span("operation_name") as span:
# Perform the work that you want to track with the span
print("Doing work...")
# When the 'with' block ends, the span is automatically closed
Accessing active spans
To access the currently active span, use the get_current_span()
function:
from opentelemetry import trace
current_span = trace.get_current_span()
# enrich 'current_span' with information
Add attributes to a span to provide additional context or metadata.
Here’s an example of how to add attributes to the current span:
from opentelemetry import trace
current_span = trace.get_current_span()
current_span.set_attribute("attribute_key1", 1)
Further reading
Documentation, liens et articles supplémentaires utiles: