opentracing-python-instrumentation | Python instrumentation tools for the OpenTracing API

by uber-common Python Version: 3.3.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | opentracing-python-instrumentation Summary

opentracing-python-instrumentation is a Python library. opentracing-python-instrumentation has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install opentracing-python-instrumentation' or download it from GitHub, PyPI.

A collection of Python instrumentation tools for the OpenTracing API

Support

Quality

Security

License

Reuse

Support

opentracing-python-instrumentation has a medium active ecosystem.

It has 159 star(s) with 57 fork(s). There are 1863 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 24 have been closed. On average issues are closed in 71 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of opentracing-python-instrumentation is 3.3.1

Quality

opentracing-python-instrumentation has 0 bugs and 0 code smells.

Security

opentracing-python-instrumentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

opentracing-python-instrumentation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

opentracing-python-instrumentation is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

opentracing-python-instrumentation releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

opentracing-python-instrumentation saves you 1310 person hours of effort in developing the same functionality from scratch.

It has 2940 lines of code, 341 functions and 45 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed opentracing-python-instrumentation and discovered the below as its top functions. This is intended to give you an instant insight into opentracing-python-instrumentation implemented functionality, and help decide if they suit your requirements.

Creates a traced function
Create a tracer for the given span
Return a context manager for the given span
Return a context for the given span
Install S3 functions
Add request id tag to response
Perform a Boto - RPC call
Return a function that returns a wrapper around the client
Task prerun
Set common tags for a span
Prepare the context for a request
Return host and port and port
Split host and port
Return the operation name
Construct an instance from a WSGI environment
Reset patches
Include span_span_context
Reset all patches
The name of the service
Task failure handler
Return the caller name
Install patches
Return the full url of the request
Wraps task_apply
Configure the hook module
Create a new span for cursor execution

Get all kandi verified functions for this library.

opentracing-python-instrumentation Key Features

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

opentracing-python-instrumentation Examples and Code Snippets

No Code Snippets are available at this moment for opentracing-python-instrumentation.

Community Discussions

No Community Discussions are available at this moment for opentracing-python-instrumentation.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install opentracing-python-instrumentation

You can install using 'pip install opentracing-python-instrumentation' or download it from GitHub, PyPI.
You can use opentracing-python-instrumentation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

The following libraries are instrumented for tracing in this module:. For some operations, Boto3 uses ThreadPoolExecutor under the hood. So, in order to make it thread-safe, the instrumentation is implemented using span_in_stack_context() which forces you to use TornadoScopeManager.

Find more information at: