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Tornado Async Utilities

Project description

Maintained license PythonVersions status PyPI Requirements Status Build Status Coverage Status

tor-async-util is a set of utilities that are useful when implementing RESTful APIs using Tornado’s Asynchronous and non-Blocking I/O.

Features

  • when async curl httpclient is used, it’s useful to know if libcurl was compiled with an async dns resolver - see is_libcurl_compiled_with_async_dns_resolver()

  • instead of CTRL+C generating an unfriendly stack trace install a signal handler - see install_sigint_handler()

  • a default request handler which generates a RESTful API friendly not found response - see DefaultRequestHandler()

  • an abstract base class from which all request handler classes can be derived to provide

  • read and write json requests and responses optionally verifying each against a jsonschema - see RequestHandler.get_json_request_body() and RequestHandler.write_and_verify()

  • accessing decoded BASIC auth credentials - see RequestHandler.get_basic_auth_creds()

  • augment Tornado’s default set_status() with support for additional status codes - see RequestHandler.set_status()

  • override Tornado’s default write_error() so a json response body is generated rather than the default HTML response body - see RequestHandler.write_error()

  • thin wrapper around ConfigParser.ConfigParser to parse ini files for things settings such as logging levels, keyczar crypters and keyczar signers - see Config

  • core implementations of /_version, /_noop and /_health endpoints include async health checkers - see generate_version_response(), generate_noop_response(), generate_health_check_response() and AsyncHealthCheck

  • this explains that the time_info attribute of a tornado response object contains timing details of the phases of a request which is available when using the cURL http client. a description of these timing details can be found at here. these timings are very, very helpful in understanding latencies from interactions between microservices - see write_http_client_response_to_log(). an example of what the logs look like is below

2016-01-23T03:45:53.362+00:00 INFO async_docker_remote_api 'Remote Docker API' took 3.42 ms to
respond with 200 to 'GET' against >>>http://127.0.0.1:4243/containers/cid/logs?stdout=1<<< - timing
detail: q=0.13 ms n=0.03 ms c=0.04 ms p=1.65 ms s=1.66 ms t=1.83 ms r=0.00 ms

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