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    README.md

    SkyWalking Python Agent

    Sky Walking logo

    SkyWalking-Python: The Python Agent for Apache SkyWalking, which provides the native tracing abilities for Python project.

    SkyWalking: an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures.

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    Build

    Install

    From Pypi

    The Python agent module is published to Pypi, from where you can use pip to install:

    # Install the latest version
    pip install apache-skywalking
    
    # Install a specific version x.y.z
    # pip install apache-skywalking==x.y.z
    pip install apache-skywalking==0.1.0  # For example, install version 0.1.0 no matter what the latest version is

    From Source Codes

    Refer to the FAQ.

    Set up Python Agent

    SkyWalking Python SDK requires SkyWalking 8.0+ and Python 3.5+.

    If you want to try out the latest features that are not released yet, please refer to the guide to build from sources.

    from skywalking import agent, config
    
    config.init(collector='127.0.0.1:11800', service='your awesome service')
    agent.start()

    Alternatively, you can also pass the configurations via environment variables (such as SW_AGENT_NAME, SW_AGENT_COLLECTOR_BACKEND_SERVICES, etc.) so that you don't need to call config.init.

    All supported environment variables can be found here

    Supported Libraries

    There are some built-in plugins (such as http.server, Flask, Django etc.) that support automatic instrumentation of Python libraries, the complete lists can be found here

    API

    Apart from the libraries that can be instrumented automatically, we also provide some APIs to enable manual instrumentation.

    Create Spans

    The code snippet below shows how to create entry span, exit span and local span.

    from skywalking import Component
    from skywalking.trace.context import SpanContext, get_context
    from skywalking.trace.tags import Tag
    
    context: SpanContext = get_context()  # get a tracing context
    # create an entry span, by using `with` statement,
    # the span automatically starts/stops when entering/exiting the context
    with context.new_entry_span(op='https://github.com/apache') as span:
        span.component = Component.Flask
    # the span automatically stops when exiting the `with` context
    
    with context.new_exit_span(op='https://github.com/apache', peer='localhost:8080') as span:
        span.component = Component.Flask
    
    with context.new_local_span(op='https://github.com/apache') as span:
        span.tag(Tag(key='Singer', val='Nakajima'))

    Decorators

    from time import sleep
    
    from skywalking import Component
    from skywalking.decorators import trace, runnable
    from skywalking.trace.context import SpanContext, get_context
    from skywalking.trace.ipc.process import SwProcess
    
    @trace()  # the operation name is the method name('some_other_method') by default
    def some_other_method():
        sleep(1)
    
    
    @trace(op='awesome')  # customize the operation name to 'awesome'
    def some_method():
        some_other_method()
    
    
    @runnable() # cross thread propagation
    def some_method(): 
        some_other_method()
    
    from threading import Thread 
    t = Thread(target=some_method)
    t.start()
    
    # When another process is started, agents will also be started in other processes, 
    # supporting only the process mode of spawn.
    p1 = SwProcess(target=some_method) 
    p1.start()
    p1.join()
    
    
    context: SpanContext = get_context()
    with context.new_entry_span(op=str('https://github.com/apache/skywalking')) as span:
        span.component = Component.Flask
        some_method()

    Contributing

    Before submitting a pull request or push a commit, please read our contributing and developer guide.

    FAQs

    Check the FAQ page or add the FAQs there.

    License

    Apache 2.0

    项目简介

    The Python agent for Apache SkyWalking

    发行版本

    当前项目没有发行版本

    贡献者 9

    开发语言

    • Python 98.4 %
    • Makefile 1.0 %
    • Shell 0.6 %