opentelemetry-python | OpenTelemetry Python API and SDK | Analytics library

 by   open-telemetry Python Version: v1.18.0 License: Apache-2.0

kandi X-RAY | opentelemetry-python Summary

kandi X-RAY | opentelemetry-python Summary

opentelemetry-python is a Python library typically used in Analytics applications. opentelemetry-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However opentelemetry-python build file is not available. You can install using 'pip install opentelemetry-python' or download it from GitHub, PyPI.

This page describes the Python OpenTelemetry implementation. OpenTelemetry is an observability framework for cloud-native software.
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            kandi-support Support

              opentelemetry-python has a medium active ecosystem.
              It has 1292 star(s) with 464 fork(s). There are 37 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 180 open issues and 1195 have been closed. On average issues are closed in 114 days. There are 35 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of opentelemetry-python is v1.18.0

            kandi-Quality Quality

              opentelemetry-python has 0 bugs and 0 code smells.

            kandi-Security Security

              opentelemetry-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              opentelemetry-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              opentelemetry-python is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              opentelemetry-python releases are available to install and integrate.
              Deployable package is available in PyPI.
              opentelemetry-python has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              opentelemetry-python saves you 10914 person hours of effort in developing the same functionality from scratch.
              It has 35205 lines of code, 2028 functions and 374 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed opentelemetry-python and discovered the below as its top functions. This is intended to give you an instant insight into opentelemetry-python implemented functionality, and help decide if they suit your requirements.
            • Parse command line arguments
            • Return help text for extra arguments
            • Create an observable counter
            • Check if an instrument is registered
            • Read data from an IProt
            • Read from iprot
            • Read data from an iprot
            • Append an item to the queue
            • Extract a context from a carrier
            • Extract the first element of a collection
            • Translates data
            • Translate a list of span spans into a trace service request
            • Start a new span
            • Extract baggage from carrier
            • Parse pip args
            • Translates the given log data
            • Main worker thread
            • Worker thread
            • Create a new API ObservationUpCounter
            • Get all symbols from the diff
            • Create an API Observation
            • Check if an instrument matches the given instrument
            • Injects the given span
            • Construct a TraceState from a header string
            • Creates an APIUp counter
            • Force a flush of metric readers
            Get all kandi verified functions for this library.

            opentelemetry-python Key Features

            No Key Features are available at this moment for opentelemetry-python.

            opentelemetry-python Examples and Code Snippets

            (For Information Only) Manual Instrumentation to collect traces
            Pythondot img1Lines of Code : 75dot img1no licencesLicense : No License
            copy iconCopy
            opentelemetry-exporter-otlp==1.9.1
            opentelemetry-instrumentation-flask==0.28b1
            opentelemetry-instrumentation-mysql==0.28b1
            opentelemetry-instrumentation-requests==0.28b1
            opentelemetry-instrumentation-logging==0.28b1
            
            from opentelemetry import trace
            f  
            FastAPI with Observability,Detail,FastAPI Application
            Pythondot img2Lines of Code : 66dot img2no licencesLicense : No License
            copy iconCopy
            # fastapi_app/utils.py
            
            def setting_otlp(app: ASGIApp, app_name: str, endpoint: str, log_correlation: bool = True) -> None:
                # Setting OpenTelemetry
                # set the service name to show in traces
                resource = Resource.create(attributes={
                    
            Dynatrace OpenTelemetry Metrics Exporter for Python,Getting started,Usage
            Pythondot img3Lines of Code : 17dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            # configure API endpoint and authentication token
            exporter = DynatraceMetricsExporter(endpoint_url, api_token)
            
            # setup metrics export pipeline
            metrics.set_meter_provider(MeterProvider())
            meter = metrics.get_meter(__name__)
            metrics.get_meter_provider  

            Community Discussions

            QUESTION

            Using OTEL_EXPORTER_OTLP_HEADERS in Open Telemetry Collector to avoid secrets in ConfigMap
            Asked 2021-Aug-26 at 19:43

            I have a Kubernetes cluster with a pod running an instance of Open Telemetry Collector.

            My .Net app inside Kubernetes exports traces to the Collector instance which in turn exports them to Elastic APM server. This work correctly if I use this config (described here) for my Collector instance:

            ...

            ANSWER

            Answered 2021-Aug-26 at 19:43

            An issue was entered for OpenTelemetry Collector that would solve my main concerns of using secrets in environment variables.

            Until then, the author of the issue suggest environment variable expansion mechanism as a workaround.

            So if you put your token in an environment variable ELASTIC_APM_TOKEN, then you could reference it in your ConfigMap like so:

            Source https://stackoverflow.com/questions/68899074

            QUESTION

            Ignore some Flask routes in Opentelemetry
            Asked 2021-Jul-13 at 17:44

            I have a generic flask application. The application is instrumented using opentelemetry-instrumentation-flask, I am shipping this data with the opentelemetry-exporter-otlp to an Elastic APM server. This is all working fine and it is done as the documentation shows.

            There are some endpoints of the application that I would like not to track with the instrumentation, as they are noisy and add little-to-no value for me (For example, health endpoints). I want the instrumentation to ignore them, but I cannot find how.

            How can this be done? I have been checking the documentation for Python and after searching over the internet, I could not find any clear answer about how this could be done... because I believe this must be doable.

            ...

            ANSWER

            Answered 2021-Jul-13 at 17:44

            You can do that using environment variable OTEL_PYTHON_FLASK_EXCLUDED_URLS. It takes a comma separated regular expressions for urls you want to exclude. For more detailed info please check here https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation/opentelemetry-instrumentation-flask#exclude-lists

            Source https://stackoverflow.com/questions/68366657

            QUESTION

            How to set an OpenTelemetry span attribute for a FastAPI route?
            Asked 2020-Sep-19 at 15:04

            Adding a tag to a trace's span can be very useful to later analyse the tracing data and slice & dice it by the wanted tag.

            After reading the OpenTelemetry docs, I couldn't figure out a way to add a custom tag to a span.

            Here is my sample FastAPI application, already instrumented with OpenTelemetry:

            ...

            ANSWER

            Answered 2020-Sep-19 at 15:04

            After reading the source code of the ASGI instrumentation's OpenTelemetryMiddleware (here), I realised you can simply get the current span, set the tag (or attribute), and the current span will be returned with all its attributes.

            Source https://stackoverflow.com/questions/63970177

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install opentelemetry-python

            The goal of OpenTelemetry is to provide a single set of APIs to capture distributed traces and metrics from your application and send them to an observability platform. This project lets you do just that for applications written in Python. This repository includes multiple installable packages. The opentelemetry-api package includes abstract classes and no-op implementations that comprise the OpenTelemetry API following the OpenTelemetry specification. The opentelemetry-sdk package is the reference implementation of the API. Libraries that produce telemetry data should only depend on opentelemetry-api, and defer the choice of the SDK to the application developer. Applications may depend on opentelemetry-sdk or another package that implements the API.

            Support

            This project supports the latest Python versions. As new Python versions are released, support for them is added and as old Python versions reach their end of life, support for them is removed. We add support for new Python versions no later than 3 months after they become stable. We remove support for old Python versions 6 months after they reach their end of life.
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