AioHttp server middleware

aws_xray_sdk/core/async_context.py

@@ -0,0 +1,98 @@
+import asyncio
+
+from .context import Context as _Context
+
+
+class AsyncContext(_Context):
+    """
+    Async Context for storing segments.
+
+    Inherits nearly everything from the main Context class.
+    Replaces threading.local with a task based local storage class,
+    Also overrides clear_trace_entities
+    """
+    def __init__(self, *args, loop=None, use_task_factory=True, **kwargs):
+        super(AsyncContext, self).__init__(*args, **kwargs)
+
+        self._loop = loop
+        if loop is None:
+            self._loop = asyncio.get_event_loop()
+
+        if use_task_factory:
+            self._loop.set_task_factory(task_factory)
+
+        self._local = TaskLocalStorage(loop=loop)
+
+    def clear_trace_entities(self):
+        """
+        Clear all trace_entities stored in the task local context.
+        """
+        if self._local is not None:
+            self._local.clear()
+
+
+class TaskLocalStorage(object):
+    """
+    Simple task local storage
+    """
+    def __init__(self, loop=None):
+        if loop is None:
+            loop = asyncio.get_event_loop()
+        self._loop = loop
+
+    def __setattr__(self, name, value):
+        if name in ('_loop',):
+            # Set normal attributes
+            object.__setattr__(self, name, value)
+
+        else:
+            # Set task local attributes
+            task = asyncio.Task.current_task(loop=self._loop)
+            if task is None:
+                return None
+
+            if not hasattr(task, 'context'):
+                task.context = {}
+
+            task.context[name] = value
+
+    def __getattribute__(self, item):
+        if item in ('_loop', 'clear'):
+            # Return references to local objects
+            return object.__getattribute__(self, item)
+
+        task = asyncio.Task.current_task(loop=self._loop)
+        if task is None:
+            return None
+
+        if hasattr(task, 'context') and item in task.context:
+            return task.context[item]
+
+        raise AttributeError('Task context does not have attribute {0}'.format(item))
+
+    def clear(self):
+        # If were in a task, clear the context dictionary
+        task = asyncio.Task.current_task(loop=self._loop)
+        if task is not None and hasattr(task, 'context'):
+            task.context.clear()
+
+
+def task_factory(loop, coro):
+    """
+    Task factory function
+
+    Fuction closely mirrors the logic inside of
+    asyncio.BaseEventLoop.create_task. Then if there is a current
+    task and the current task has a context then share that context
+    with the new task
+    """
+    task = asyncio.Task(coro, loop=loop)
+    if task._source_traceback:  # flake8: noqa
+        del task._source_traceback[-1]  # flake8: noqa
+
+    # Share context with new task if possible
+    current_task = asyncio.Task.current_task(loop=loop)
+    if current_task is not None and hasattr(current_task, 'context'):
+        setattr(task, 'context', current_task.context)
+
+    return task

aws_xray_sdk/core/sampling/sampling_rule.py

@@ -40,7 +40,7 @@ def applies(self, service_name, method, path):
         the incoming request based on some of the request's parameters.
         Any None parameters provided will be considered an implicit match.
         """
-        return (not service_name  or wildcard_match(self.service_name, service_name)) \
+        return (not service_name or wildcard_match(self.service_name, service_name)) \
             and (not method or wildcard_match(self.service_name, method)) \
             and (not path or wildcard_match(self.path, path))
 
@@ -89,11 +89,14 @@ def reservoir(self):
 
     def _validate(self):
         if self.fixed_target < 0 or self.rate < 0:
-            raise InvalidSamplingManifestError('All rules must have non-negative values for fixed_target and rate')
+            raise InvalidSamplingManifestError('All rules must have non-negative values for '
+                                               'fixed_target and rate')
 
         if self._default:
             if self.service_name or self.method or self.path:
-                raise InvalidSamplingManifestError('The default rule must not specify values for url_path, service_name, or http_method')
+                raise InvalidSamplingManifestError('The default rule must not specify values for '
+                                                   'url_path, service_name, or http_method')
         else:
             if not self.service_name or not self.method or not self.path:
-                raise InvalidSamplingManifestError('All non-default rules must have values for url_path, service_name, and http_method')
+                raise InvalidSamplingManifestError('All non-default rules must have values for '
+                                                   'url_path, service_name, and http_method')

aws_xray_sdk/core/utils/compat.py

@@ -4,8 +4,8 @@
 PY2 = sys.version_info < (3,)
 
 if PY2:
-    annotation_value_types = (int, long, float, bool, str)
-    string_types = basestring
+    annotation_value_types = (int, long, float, bool, str)  # noqa: F821
+    string_types = basestring  # noqa: F821
 else:
     annotation_value_types = (int, float, bool, str)
     string_types = str

aws_xray_sdk/ext/aiohttp/middleware.py

@@ -0,0 +1,78 @@
+"""
+AioHttp Middleware
+"""
+import traceback
+
+from aws_xray_sdk.core import xray_recorder
+from aws_xray_sdk.core.models import http
+from aws_xray_sdk.ext.util import calculate_sampling_decision, calculate_segment_name, construct_xray_header
+
+
+async def middleware(app, handler):
+    """
+    AioHttp Middleware Factory
+    """
+    async def _middleware(request):
+        """
+        Main middleware function, deals with all the X-Ray segment logic
+        """
+        # Create X-Ray headers
+        xray_header = construct_xray_header(request.headers)
+        # Get name of service or generate a dynamic one from host
+        name = calculate_segment_name(request.headers['host'].split(':', 1)[0], xray_recorder)
+
+        sampling_decision = calculate_sampling_decision(
+            trace_header=xray_header,
+            recorder=xray_recorder,
+            service_name=request.headers['host'],
+            method=request.method,
+            path=request.path,
+        )
+
+        # Start a segment
+        segment = xray_recorder.begin_segment(
+            name=name,
+            traceid=xray_header.root,
+            parent_id=xray_header.parent,
+            sampling=sampling_decision,
+        )
+
+        # Store request metadata in the current segment
+        segment.put_http_meta(http.URL, request.url)
+        segment.put_http_meta(http.METHOD, request.method)
+
+        if 'User-Agent' in request.headers:
+            segment.put_http_meta(http.USER_AGENT, request.headers['User-Agent'])
+
+        if 'X-Forwarded-For' in request.headers:
+            segment.put_http_meta(http.CLIENT_IP, request.headers['X-Forwarded-For'])
+            segment.put_http_meta(http.X_FORWARDED_FOR, True)
+        elif 'remote_addr' in request.headers:
+            segment.put_http_meta(http.CLIENT_IP, request.headers['remote_addr'])
+        else:
+            segment.put_http_meta(http.CLIENT_IP, request.remote)
+
+        try:
+            # Call next middleware or request handler
+            response = await handler(request)
+        except Exception as err:
+            # Store exception information including the stacktrace to the segment
+            segment = xray_recorder.current_segment()
+            segment.put_http_meta(http.STATUS, 500)
+            stack = traceback.extract_stack(limit=xray_recorder._max_trace_back)
+            segment.add_exception(err, stack)
+            xray_recorder.end_segment()
+            raise
+
+        # Store response metadata into the current segment
+        segment.put_http_meta(http.STATUS, response.status)
+
+        if 'Content-Length' in response.headers:
+            length = int(response.headers['Content-Length'])
+            segment.put_http_meta(http.CONTENT_LENGTH, length)
+
+        # Close segment so it can be dispatched off to the daemon
+        xray_recorder.end_segment()
+
+        return response
+    return _middleware

docs/conf.py

@@ -31,9 +31,9 @@
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
 # ones.
 extensions = ['sphinx.ext.autodoc',
-    'sphinx.ext.doctest',
-    'sphinx.ext.intersphinx',
-    'sphinx.ext.coverage']
+              'sphinx.ext.doctest',
+              'sphinx.ext.intersphinx',
+              'sphinx.ext.coverage']
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['_templates']
@@ -171,7 +171,5 @@
 ]
 
 
-
-
 # Example configuration for intersphinx: refer to the Python standard library.
 intersphinx_mapping = {'https://docs.python.org/': None}

docs/frameworks.rst

@@ -81,4 +81,36 @@ To generate segment based on incoming requests, you need to instantiate the X-Ra
     XRayMiddleware(app, xray_recorder)
 
 Flask built-in template rendering will be wrapped into subsegments.
-You can configure the recorder, see :ref:`Configure Global Recorder <configurations>` for more details.
+You can configure the recorder, see :ref:`Configure Global Recorder <configurations>` for more details.
+
+aiohttp Server
+==============
+
+For X-Ray to create a segment based on an incoming request, you need register some middleware with aiohttp. As aiohttp
+is an asyncronous framework, X-Ray will also need to be configured with an ``AsyncContext`` compared to the default threadded
+version.::
+
+    import asyncio
+
+    from aiohttp import web
+
+    from aws_xray_sdk.ext.aiohttp.middleware import middleware
+    from aws_xray_sdk.core.async_context import AsyncContext
+    from aws_xray_sdk.core import xray_recorder
+    # Configure X-Ray to use AsyncContext
+    xray_recorder.configure(service='service_name', context=AsyncContext())
+
+
+    async def handler(request):
+        return web.Response(body='Hello World')
+
+    loop = asyncio.get_event_loop()
+    # Use X-Ray SDK middleware, its crucial the X-Ray middleware comes first
+    app = web.Application(middlewares=[middleware])
+    app.router.add_get("/", handler)
+
+    web.run_app(app)
+
+There are two things to note from the example above. Firstly a middleware corountine from aws-xray-sdk is provided during the creation
+of an aiohttp server app. Lastly the ``xray_recorder`` has also been configured with a name and an ``AsyncContext``. See
+:ref:`Configure Global Recorder <configurations>` for more information about configuring the ``xray_recorder``.

setup.py

@@ -11,7 +11,8 @@
     name='aws-xray-sdk',
     version='0.93',
 
-    description='The AWS X-Ray SDK for Python (the SDK) enables Python developers to record and emit information from within their applications to the AWS X-Ray service.',
+    description='The AWS X-Ray SDK for Python (the SDK) enables Python developers to record'
+                ' and emit information from within their applications to the AWS X-Ray service.',
     long_description=long_description,
 
     url='https://github.com/aws/aws-xray-sdk-python',