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        "author": "LightStep",
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        "description": "# LightStep Streaming: Our Streaming Python Tracer\n\nThe Streaming Python Tracer, is an [OpenTracing](http://opentracing.io) tracer which sends data to [LightStep Satellites](https://docs.lightstep.com/docs/satellite-setup).\n\nThis tracer sends data to multiple Satellites concurrently using non-blocking I/O writes. Memory is carefully managed so that spans are only copied a single time during the reporting process and streamed to Satellites as they are generated to avoid filling up memory. The Streaming Python Tracer is written in C++. There is a thin Python wrapper around this C++ core so the library can be imported just like any other Python module.\n\n## Setup\n\nIf you aren't familiar with OpenTracing or LightStep, we recommend reading up before continuing.\n\nBefore installing, make sure that you system meets these requirements:\n\n- Linux\n- Python 2.7 or >= 3.2.0 (and pip)\n- opentracing PyPI Module (>=2.2.0)\n\nTo install the Streaming Python Tracer, run `pip install lightstep-streaming`.\n\n## Getting Started\n\nThe beauty of OpenTracing is that all tracers follow a well-defined API. The only step which varies from tracer to tracer is the setup step when `lightstep_streaming.Tracer`'s constructor is called. Below is a sample program which illustrates how to create a new Tracer object using the Streaming Python Tracer. For more details on how to use a `Tracer` object once it has been created, checkout the [OpenTracing Python API Guide](https://opentracing.io/guides/python/tracers/).\n\n```python\nimport lightstep_streaming\n\ntracer = lightstep_streaming.Tracer(\n    component_name='[your service name]',\n    access_token='[your LightStep access token]',\n\n    # Use these defaults unless you know what you're doing\n    use_stream_recorder=True,\n    collector_plaintext=True,\n\n    # You can put any number of Satellite endpoints in this list and the tracer\n    # will rotate through them and send spans to each one.\n    satellite_endpoints=[{'host': 'localhost', 'port': 8360}],\n\n    # Turns off verbose logging, which is really only useful for debugging.\n    verbose=False\n)\n\n# Generates one span\nwith tracer.start_active_span('[your operation name]'):\n    pass\n\n# Makes sure that the tracer has sent the span to a Satellite\ntracer.flush()\n```\n\nA complete list of Streaming Python Tracer configuration parameters can be found in [tracer_configuration.schema.json](https://github.com/lightstep/lightstep-tracer-cpp/blob/master/lightstep-tracer-configuration/tracer_configuration.schema.json). If you are interested in peeking at the source code, this is available in the [LightStep C++ Tracer repo](https://github.com/lightstep/lightstep-tracer-cpp).\n",
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        "keywords": "opentracing,lightstep,traceguide,tracing,microservices,distributed",
        "license": "MIT",
        "maintainer": "",
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        "name": "lightstep-streaming",
        "package_url": "https://pypi.org/project/lightstep-streaming/",
        "platform": "Linux",
        "project_url": "https://pypi.org/project/lightstep-streaming/",
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