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changelog.d/5703.misc
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changelog.d/5703.misc
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Documentation for opentracing.
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docs/opentracing.rst
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docs/opentracing.rst
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===========
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OpenTracing
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===========
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Background
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----------
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OpenTracing is a semi-standard being adopted by a number of distributed tracing
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platforms. It is a common api for facilitating vendor-agnostic tracing
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instrumentation. That is, we can use the OpenTracing api and select one of a
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number of tracer implementations to do the heavy lifting in the background.
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Our current selected implementation is Jaeger.
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OpenTracing is a tool which gives an insight into the causal relationship of
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work done in and between servers. The servers each track events and report them
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to a centralised server - in Synapse's case: Jaeger. The basic unit used to
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represent events is the span. The span roughly represents a single piece of work
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that was done and the time at which it occurred. A span can have child spans,
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meaning that the work of the child had to be completed for the parent span to
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complete, or it can have follow-on spans which represent work that is undertaken
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as a result of the parent but is not depended on by the parent to in order to
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finish.
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Since this is undertaken in a distributed environment a request to another
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server, such as an RPC or a simple GET, can be considered a span (a unit or
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work) for the local server. This causal link is what OpenTracing aims to
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capture and visualise. In order to do this metadata about the local server's
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span, i.e the 'span context', needs to be included with the request to the
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remote.
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It is up to the remote server to decide what it does with the spans
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it creates. This is called the sampling policy and it can be configured
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through Jaeger's settings.
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For OpenTracing concepts see
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https://opentracing.io/docs/overview/what-is-tracing/.
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For more information about Jaeger's implementation see
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https://www.jaegertracing.io/docs/
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=====================
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Seting up OpenTracing
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=====================
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To receive OpenTracing spans, start up a Jaeger server. This can be done
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using docker like so:
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.. code-block:: bash
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docker run -d --name jaeger
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-p 6831:6831/udp \
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-p 6832:6832/udp \
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-p 5778:5778 \
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-p 16686:16686 \
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-p 14268:14268 \
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jaegertracing/all-in-one:1.13
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Latest documentation is probably at
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https://www.jaegertracing.io/docs/1.13/getting-started/
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Enable OpenTracing in Synapse
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-----------------------------
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OpenTracing is not enabled by default. It must be enabled in the homeserver
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config by uncommenting the config options under ``opentracing`` as shown in
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the `sample config <./sample_config.yaml>`_. For example:
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.. code-block:: yaml
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opentracing:
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tracer_enabled: true
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homeserver_whitelist:
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- "mytrustedhomeserver.org"
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- "*.myotherhomeservers.com"
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Homeserver whitelisting
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-----------------------
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The homeserver whitelist is configured using regular expressions. A list of regular
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expressions can be given and their union will be compared when propagating any
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spans contexts to another homeserver.
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Though it's mostly safe to send and receive span contexts to and from
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untrusted users since span contexts are usually opaque ids it can lead to
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two problems, namely:
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- If the span context is marked as sampled by the sending homeserver the receiver will
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sample it. Therefore two homeservers with wildly different sampling policies
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could incur higher sampling counts than intended.
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- Sending servers can attach arbitrary data to spans, known as 'baggage'. For safety this has been disabled in Synapse
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but that doesn't prevent another server sending you baggage which will be logged
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to OpenTracing's logs.
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==================
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Configuring Jaeger
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==================
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Sampling strategies can be set as in this document:
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https://www.jaegertracing.io/docs/1.13/sampling/
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#enabled: true
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# The list of homeservers we wish to send and receive span contexts and span baggage.
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#
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# Though it's mostly safe to send and receive span contexts to and from
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# untrusted users since span contexts are usually opaque ids it can lead to
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# two problems, namely:
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# - If the span context is marked as sampled by the sending homeserver the receiver will
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# sample it. Therefore two homeservers with wildly disparaging sampling policies
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# could incur higher sampling counts than intended.
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# - Span baggage can be arbitrary data. For safety this has been disabled in synapse
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# but that doesn't prevent another server sending you baggage which will be logged
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# to opentracing logs.
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#
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# This a list of regexes which are matched against the server_name of the
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# See docs/opentracing.rst
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# This is a list of regexes which are matched against the server_name of the
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# homeserver.
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#
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# By defult, it is empty, so no servers are matched.
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@ -48,18 +48,8 @@ class TracerConfig(Config):
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#enabled: true
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# The list of homeservers we wish to send and receive span contexts and span baggage.
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#
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# Though it's mostly safe to send and receive span contexts to and from
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# untrusted users since span contexts are usually opaque ids it can lead to
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# two problems, namely:
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# - If the span context is marked as sampled by the sending homeserver the receiver will
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# sample it. Therefore two homeservers with wildly disparaging sampling policies
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# could incur higher sampling counts than intended.
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# - Span baggage can be arbitrary data. For safety this has been disabled in synapse
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# but that doesn't prevent another server sending you baggage which will be logged
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# to opentracing logs.
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#
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# This a list of regexes which are matched against the server_name of the
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# See docs/opentracing.rst
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# This is a list of regexes which are matched against the server_name of the
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# homeserver.
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#
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# By defult, it is empty, so no servers are matched.
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@ -24,6 +24,131 @@
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# this move the methods have work very similarly to opentracing's and it should only
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# be a matter of few regexes to move over to opentracing's access patterns proper.
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"""
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============================
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Using OpenTracing in Synapse
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============================
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Python-specific tracing concepts are at https://opentracing.io/guides/python/.
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Note that Synapse wraps OpenTracing in a small module (this one) in order to make the
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OpenTracing dependency optional. That means that the access patterns are
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different to those demonstrated in the OpenTracing guides. However, it is
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still useful to know, especially if OpenTracing is included as a full dependency
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in the future or if you are modifying this module.
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OpenTracing is encapsulated so that
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no span objects from OpenTracing are exposed in Synapse's code. This allows
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OpenTracing to be easily disabled in Synapse and thereby have OpenTracing as
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an optional dependency. This does however limit the number of modifiable spans
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at any point in the code to one. From here out references to `opentracing`
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in the code snippets refer to the Synapses module.
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Tracing
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-------
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In Synapse it is not possible to start a non-active span. Spans can be started
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using the ``start_active_span`` method. This returns a scope (see
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OpenTracing docs) which is a context manager that needs to be entered and
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exited. This is usually done by using ``with``.
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.. code-block:: python
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from synapse.logging.opentracing import start_active_span
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with start_active_span("operation name"):
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# Do something we want to tracer
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Forgetting to enter or exit a scope will result in some mysterious and grievous log
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context errors.
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At anytime where there is an active span ``opentracing.set_tag`` can be used to
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set a tag on the current active span.
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Tracing functions
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-----------------
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Functions can be easily traced using decorators. There is a decorator for
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'normal' function and for functions which are actually deferreds. The name of
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the function becomes the operation name for the span.
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.. code-block:: python
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from synapse.logging.opentracing import trace, trace_deferred
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# Start a span using 'normal_function' as the operation name
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@trace
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def normal_function(*args, **kwargs):
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# Does all kinds of cool and expected things
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return something_usual_and_useful
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# Start a span using 'deferred_function' as the operation name
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@trace_deferred
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@defer.inlineCallbacks
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def deferred_function(*args, **kwargs):
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# We start
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yield we_wait
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# we finish
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defer.returnValue(something_usual_and_useful)
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Operation names can be explicitly set for functions by using
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``trace_using_operation_name`` and
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``trace_deferred_using_operation_name``
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.. code-block:: python
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from synapse.logging.opentracing import (
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trace_using_operation_name,
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trace_deferred_using_operation_name
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)
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@trace_using_operation_name("A *much* better operation name")
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def normal_function(*args, **kwargs):
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# Does all kinds of cool and expected things
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return something_usual_and_useful
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@trace_deferred_using_operation_name("Another exciting operation name!")
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@defer.inlineCallbacks
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def deferred_function(*args, **kwargs):
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# We start
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yield we_wait
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# we finish
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defer.returnValue(something_usual_and_useful)
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Contexts and carriers
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---------------------
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There are a selection of wrappers for injecting and extracting contexts from
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carriers provided. Unfortunately OpenTracing's three context injection
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techniques are not adequate for our inject of OpenTracing span-contexts into
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Twisted's http headers, EDU contents and our database tables. Also note that
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the binary encoding format mandated by OpenTracing is not actually implemented
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by jaeger_client v4.0.0 - it will silently noop.
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Please refer to the end of ``logging/opentracing.py`` for the available
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injection and extraction methods.
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Homeserver whitelisting
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-----------------------
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Most of the whitelist checks are encapsulated in the modules's injection
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and extraction method but be aware that using custom carriers or crossing
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unchartered waters will require the enforcement of the whitelist.
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``logging/opentracing.py`` has a ``whitelisted_homeserver`` method which takes
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in a destination and compares it to the whitelist.
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=======
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Gotchas
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=======
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- Checking whitelists on span propagation
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- Inserting pii
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- Forgetting to enter or exit a scope
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- Span source: make sure that the span you expect to be active across a
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function call really will be that one. Does the current function have more
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than one caller? Will all of those calling functions have be in a context
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with an active span?
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"""
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import contextlib
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import logging
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import re
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