849 lines
26 KiB
Python
849 lines
26 KiB
Python
# Copyright 2019 The Matrix.org Foundation C.I.C.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# NOTE
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# This is a small wrapper around opentracing because opentracing is not currently
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# packaged downstream (specifically debian). Since opentracing instrumentation is
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# fairly invasive it was awkward to make it optional. As a result we opted to encapsulate
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# all opentracing state in these methods which effectively noop if opentracing is
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# not present. We should strongly consider encouraging the downstream distributers
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# to package opentracing and making opentracing a full dependency. In order to facilitate
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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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Most methods provided in the module have a direct correlation to those provided
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by opentracing. Refer to docs there for a more in-depth documentation on some of
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the args and methods.
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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. 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
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# Start a span using 'interesting_function' as the operation name
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@trace
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def interesting_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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Operation names can be explicitly set for a function by passing the
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operation name to ``trace``
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.. code-block:: python
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from synapse.logging.opentracing import trace
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@trace(opname="a_better_operation_name")
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def interesting_badly_named_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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Setting Tags
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------------
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To set a tag on the active span do
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.. code-block:: python
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from synapse.logging.opentracing import set_tag
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set_tag(tag_name, tag_value)
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There's a convenient decorator to tag all the args of the method. It uses
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inspection in order to use the formal parameter names prefixed with 'ARG_' as
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tag names. It uses kwarg names as tag names without the prefix.
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.. code-block:: python
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from synapse.logging.opentracing import tag_args
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@tag_args
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def set_fates(clotho, lachesis, atropos, father="Zues", mother="Themis"):
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pass
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set_fates("the story", "the end", "the act")
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# This will have the following tags
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# - ARG_clotho: "the story"
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# - ARG_lachesis: "the end"
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# - ARG_atropos: "the act"
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# - father: "Zues"
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# - mother: "Themis"
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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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Most injection methods take a 'destination' arg. The context will only be injected
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if the destination matches the whitelist or the destination is None.
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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 inspect
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import logging
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import re
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from functools import wraps
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from typing import TYPE_CHECKING, Dict, Optional, Pattern, Type
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import attr
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from twisted.internet import defer
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from synapse.config import ConfigError
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from synapse.util import json_decoder, json_encoder
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if TYPE_CHECKING:
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from synapse.http.site import SynapseRequest
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from synapse.server import HomeServer
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# Helper class
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class _DummyTagNames:
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"""wrapper of opentracings tags. We need to have them if we
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want to reference them without opentracing around. Clearly they
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should never actually show up in a trace. `set_tags` overwrites
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these with the correct ones."""
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INVALID_TAG = "invalid-tag"
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COMPONENT = INVALID_TAG
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DATABASE_INSTANCE = INVALID_TAG
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DATABASE_STATEMENT = INVALID_TAG
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DATABASE_TYPE = INVALID_TAG
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DATABASE_USER = INVALID_TAG
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ERROR = INVALID_TAG
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HTTP_METHOD = INVALID_TAG
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HTTP_STATUS_CODE = INVALID_TAG
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HTTP_URL = INVALID_TAG
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MESSAGE_BUS_DESTINATION = INVALID_TAG
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PEER_ADDRESS = INVALID_TAG
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PEER_HOSTNAME = INVALID_TAG
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PEER_HOST_IPV4 = INVALID_TAG
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PEER_HOST_IPV6 = INVALID_TAG
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PEER_PORT = INVALID_TAG
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PEER_SERVICE = INVALID_TAG
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SAMPLING_PRIORITY = INVALID_TAG
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SERVICE = INVALID_TAG
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SPAN_KIND = INVALID_TAG
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SPAN_KIND_CONSUMER = INVALID_TAG
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SPAN_KIND_PRODUCER = INVALID_TAG
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SPAN_KIND_RPC_CLIENT = INVALID_TAG
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SPAN_KIND_RPC_SERVER = INVALID_TAG
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try:
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import opentracing
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tags = opentracing.tags
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except ImportError:
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opentracing = None
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tags = _DummyTagNames
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try:
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from jaeger_client import Config as JaegerConfig
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from synapse.logging.scopecontextmanager import LogContextScopeManager
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except ImportError:
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JaegerConfig = None # type: ignore
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LogContextScopeManager = None # type: ignore
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try:
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from rust_python_jaeger_reporter import Reporter
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@attr.s(slots=True, frozen=True)
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class _WrappedRustReporter:
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"""Wrap the reporter to ensure `report_span` never throws."""
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_reporter = attr.ib(type=Reporter, default=attr.Factory(Reporter))
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def set_process(self, *args, **kwargs):
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return self._reporter.set_process(*args, **kwargs)
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def report_span(self, span):
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try:
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return self._reporter.report_span(span)
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except Exception:
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logger.exception("Failed to report span")
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RustReporter = _WrappedRustReporter # type: Optional[Type[_WrappedRustReporter]]
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except ImportError:
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RustReporter = None
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logger = logging.getLogger(__name__)
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class SynapseTags:
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# The message ID of any to_device message processed
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TO_DEVICE_MESSAGE_ID = "to_device.message_id"
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# Whether the sync response has new data to be returned to the client.
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SYNC_RESULT = "sync.new_data"
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# Block everything by default
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# A regex which matches the server_names to expose traces for.
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# None means 'block everything'.
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_homeserver_whitelist = None # type: Optional[Pattern[str]]
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# Util methods
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def only_if_tracing(func):
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"""Executes the function only if we're tracing. Otherwise returns None."""
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@wraps(func)
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def _only_if_tracing_inner(*args, **kwargs):
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if opentracing:
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return func(*args, **kwargs)
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else:
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return
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return _only_if_tracing_inner
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def ensure_active_span(message, ret=None):
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"""Executes the operation only if opentracing is enabled and there is an active span.
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If there is no active span it logs message at the error level.
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Args:
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message (str): Message which fills in "There was no active span when trying to %s"
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in the error log if there is no active span and opentracing is enabled.
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ret (object): return value if opentracing is None or there is no active span.
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Returns (object): The result of the func or ret if opentracing is disabled or there
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was no active span.
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"""
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def ensure_active_span_inner_1(func):
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@wraps(func)
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def ensure_active_span_inner_2(*args, **kwargs):
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if not opentracing:
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return ret
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if not opentracing.tracer.active_span:
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logger.error(
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"There was no active span when trying to %s."
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" Did you forget to start one or did a context slip?",
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message,
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)
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return ret
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return func(*args, **kwargs)
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return ensure_active_span_inner_2
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return ensure_active_span_inner_1
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@contextlib.contextmanager
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def noop_context_manager(*args, **kwargs):
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"""Does exactly what it says on the tin"""
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yield
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# Setup
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def init_tracer(hs: "HomeServer"):
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"""Set the whitelists and initialise the JaegerClient tracer"""
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global opentracing
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if not hs.config.opentracer_enabled:
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# We don't have a tracer
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opentracing = None
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return
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if not opentracing or not JaegerConfig:
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raise ConfigError(
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"The server has been configured to use opentracing but opentracing is not "
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"installed."
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)
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# Pull out the jaeger config if it was given. Otherwise set it to something sensible.
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# See https://github.com/jaegertracing/jaeger-client-python/blob/master/jaeger_client/config.py
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set_homeserver_whitelist(hs.config.opentracer_whitelist)
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config = JaegerConfig(
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config=hs.config.jaeger_config,
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service_name="{} {}".format(hs.config.server_name, hs.get_instance_name()),
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scope_manager=LogContextScopeManager(hs.config),
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)
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# If we have the rust jaeger reporter available let's use that.
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if RustReporter:
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logger.info("Using rust_python_jaeger_reporter library")
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tracer = config.create_tracer(RustReporter(), config.sampler)
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opentracing.set_global_tracer(tracer)
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else:
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config.initialize_tracer()
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# Whitelisting
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@only_if_tracing
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def set_homeserver_whitelist(homeserver_whitelist):
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"""Sets the homeserver whitelist
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Args:
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homeserver_whitelist (Iterable[str]): regex of whitelisted homeservers
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"""
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global _homeserver_whitelist
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if homeserver_whitelist:
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# Makes a single regex which accepts all passed in regexes in the list
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_homeserver_whitelist = re.compile(
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"({})".format(")|(".join(homeserver_whitelist))
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)
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@only_if_tracing
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def whitelisted_homeserver(destination):
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"""Checks if a destination matches the whitelist
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Args:
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destination (str)
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"""
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if _homeserver_whitelist:
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return _homeserver_whitelist.match(destination)
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return False
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# Start spans and scopes
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# Could use kwargs but I want these to be explicit
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def start_active_span(
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operation_name,
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child_of=None,
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references=None,
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tags=None,
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start_time=None,
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ignore_active_span=False,
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finish_on_close=True,
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):
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"""Starts an active opentracing span. Note, the scope doesn't become active
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until it has been entered, however, the span starts from the time this
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message is called.
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Args:
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See opentracing.tracer
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Returns:
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scope (Scope) or noop_context_manager
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"""
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if opentracing is None:
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return noop_context_manager()
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return opentracing.tracer.start_active_span(
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operation_name,
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child_of=child_of,
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references=references,
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tags=tags,
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start_time=start_time,
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ignore_active_span=ignore_active_span,
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finish_on_close=finish_on_close,
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)
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def start_active_span_follows_from(operation_name, contexts):
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if opentracing is None:
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return noop_context_manager()
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references = [opentracing.follows_from(context) for context in contexts]
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scope = start_active_span(operation_name, references=references)
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return scope
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def start_active_span_from_request(
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request,
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operation_name,
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references=None,
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tags=None,
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start_time=None,
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ignore_active_span=False,
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finish_on_close=True,
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):
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"""
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Extracts a span context from a Twisted Request.
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args:
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headers (twisted.web.http.Request)
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For the other args see opentracing.tracer
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returns:
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span_context (opentracing.span.SpanContext)
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"""
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# Twisted encodes the values as lists whereas opentracing doesn't.
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# So, we take the first item in the list.
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# Also, twisted uses byte arrays while opentracing expects strings.
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if opentracing is None:
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return noop_context_manager()
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header_dict = {
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k.decode(): v[0].decode() for k, v in request.requestHeaders.getAllRawHeaders()
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}
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context = opentracing.tracer.extract(opentracing.Format.HTTP_HEADERS, header_dict)
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return opentracing.tracer.start_active_span(
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operation_name,
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child_of=context,
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references=references,
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tags=tags,
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start_time=start_time,
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ignore_active_span=ignore_active_span,
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finish_on_close=finish_on_close,
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)
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def start_active_span_from_edu(
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edu_content,
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operation_name,
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references: Optional[list] = None,
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tags=None,
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start_time=None,
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ignore_active_span=False,
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finish_on_close=True,
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):
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"""
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Extracts a span context from an edu and uses it to start a new active span
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Args:
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edu_content (dict): and edu_content with a `context` field whose value is
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canonical json for a dict which contains opentracing information.
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For the other args see opentracing.tracer
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"""
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references = references or []
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if opentracing is None:
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return noop_context_manager()
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carrier = json_decoder.decode(edu_content.get("context", "{}")).get(
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"opentracing", {}
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)
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context = opentracing.tracer.extract(opentracing.Format.TEXT_MAP, carrier)
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_references = [
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opentracing.child_of(span_context_from_string(x))
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for x in carrier.get("references", [])
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]
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# For some reason jaeger decided not to support the visualization of multiple parent
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# spans or explicitly show references. I include the span context as a tag here as
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# an aid to people debugging but it's really not an ideal solution.
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references += _references
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scope = opentracing.tracer.start_active_span(
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operation_name,
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child_of=context,
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references=references,
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tags=tags,
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start_time=start_time,
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ignore_active_span=ignore_active_span,
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finish_on_close=finish_on_close,
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)
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scope.span.set_tag("references", carrier.get("references", []))
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return scope
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# Opentracing setters for tags, logs, etc
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@ensure_active_span("set a tag")
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def set_tag(key, value):
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"""Sets a tag on the active span"""
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opentracing.tracer.active_span.set_tag(key, value)
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@ensure_active_span("log")
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def log_kv(key_values, timestamp=None):
|
|
"""Log to the active span"""
|
|
opentracing.tracer.active_span.log_kv(key_values, timestamp)
|
|
|
|
|
|
@ensure_active_span("set the traces operation name")
|
|
def set_operation_name(operation_name):
|
|
"""Sets the operation name of the active span"""
|
|
opentracing.tracer.active_span.set_operation_name(operation_name)
|
|
|
|
|
|
# Injection and extraction
|
|
|
|
|
|
@ensure_active_span("inject the span into a header")
|
|
def inject_active_span_twisted_headers(headers, destination, check_destination=True):
|
|
"""
|
|
Injects a span context into twisted headers in-place
|
|
|
|
Args:
|
|
headers (twisted.web.http_headers.Headers)
|
|
destination (str): address of entity receiving the span context. If check_destination
|
|
is true the context will only be injected if the destination matches the
|
|
opentracing whitelist
|
|
check_destination (bool): If false, destination will be ignored and the context
|
|
will always be injected.
|
|
span (opentracing.Span)
|
|
|
|
Returns:
|
|
In-place modification of headers
|
|
|
|
Note:
|
|
The headers set by the tracer are custom to the tracer implementation which
|
|
should be unique enough that they don't interfere with any headers set by
|
|
synapse or twisted. If we're still using jaeger these headers would be those
|
|
here:
|
|
https://github.com/jaegertracing/jaeger-client-python/blob/master/jaeger_client/constants.py
|
|
"""
|
|
|
|
if check_destination and not whitelisted_homeserver(destination):
|
|
return
|
|
|
|
span = opentracing.tracer.active_span
|
|
carrier = {} # type: Dict[str, str]
|
|
opentracing.tracer.inject(span, opentracing.Format.HTTP_HEADERS, carrier)
|
|
|
|
for key, value in carrier.items():
|
|
headers.addRawHeaders(key, value)
|
|
|
|
|
|
@ensure_active_span("inject the span into a byte dict")
|
|
def inject_active_span_byte_dict(headers, destination, check_destination=True):
|
|
"""
|
|
Injects a span context into a dict where the headers are encoded as byte
|
|
strings
|
|
|
|
Args:
|
|
headers (dict)
|
|
destination (str): address of entity receiving the span context. If check_destination
|
|
is true the context will only be injected if the destination matches the
|
|
opentracing whitelist
|
|
check_destination (bool): If false, destination will be ignored and the context
|
|
will always be injected.
|
|
span (opentracing.Span)
|
|
|
|
Returns:
|
|
In-place modification of headers
|
|
|
|
Note:
|
|
The headers set by the tracer are custom to the tracer implementation which
|
|
should be unique enough that they don't interfere with any headers set by
|
|
synapse or twisted. If we're still using jaeger these headers would be those
|
|
here:
|
|
https://github.com/jaegertracing/jaeger-client-python/blob/master/jaeger_client/constants.py
|
|
"""
|
|
if check_destination and not whitelisted_homeserver(destination):
|
|
return
|
|
|
|
span = opentracing.tracer.active_span
|
|
|
|
carrier = {} # type: Dict[str, str]
|
|
opentracing.tracer.inject(span, opentracing.Format.HTTP_HEADERS, carrier)
|
|
|
|
for key, value in carrier.items():
|
|
headers[key.encode()] = [value.encode()]
|
|
|
|
|
|
@ensure_active_span("inject the span into a text map")
|
|
def inject_active_span_text_map(carrier, destination, check_destination=True):
|
|
"""
|
|
Injects a span context into a dict
|
|
|
|
Args:
|
|
carrier (dict)
|
|
destination (str): address of entity receiving the span context. If check_destination
|
|
is true the context will only be injected if the destination matches the
|
|
opentracing whitelist
|
|
check_destination (bool): If false, destination will be ignored and the context
|
|
will always be injected.
|
|
|
|
Returns:
|
|
In-place modification of carrier
|
|
|
|
Note:
|
|
The headers set by the tracer are custom to the tracer implementation which
|
|
should be unique enough that they don't interfere with any headers set by
|
|
synapse or twisted. If we're still using jaeger these headers would be those
|
|
here:
|
|
https://github.com/jaegertracing/jaeger-client-python/blob/master/jaeger_client/constants.py
|
|
"""
|
|
|
|
if check_destination and not whitelisted_homeserver(destination):
|
|
return
|
|
|
|
opentracing.tracer.inject(
|
|
opentracing.tracer.active_span, opentracing.Format.TEXT_MAP, carrier
|
|
)
|
|
|
|
|
|
@ensure_active_span("get the active span context as a dict", ret={})
|
|
def get_active_span_text_map(destination=None):
|
|
"""
|
|
Gets a span context as a dict. This can be used instead of manually
|
|
injecting a span into an empty carrier.
|
|
|
|
Args:
|
|
destination (str): the name of the remote server.
|
|
|
|
Returns:
|
|
dict: the active span's context if opentracing is enabled, otherwise empty.
|
|
"""
|
|
|
|
if destination and not whitelisted_homeserver(destination):
|
|
return {}
|
|
|
|
carrier = {} # type: Dict[str, str]
|
|
opentracing.tracer.inject(
|
|
opentracing.tracer.active_span, opentracing.Format.TEXT_MAP, carrier
|
|
)
|
|
|
|
return carrier
|
|
|
|
|
|
@ensure_active_span("get the span context as a string.", ret={})
|
|
def active_span_context_as_string():
|
|
"""
|
|
Returns:
|
|
The active span context encoded as a string.
|
|
"""
|
|
carrier = {} # type: Dict[str, str]
|
|
if opentracing:
|
|
opentracing.tracer.inject(
|
|
opentracing.tracer.active_span, opentracing.Format.TEXT_MAP, carrier
|
|
)
|
|
return json_encoder.encode(carrier)
|
|
|
|
|
|
@only_if_tracing
|
|
def span_context_from_string(carrier):
|
|
"""
|
|
Returns:
|
|
The active span context decoded from a string.
|
|
"""
|
|
carrier = json_decoder.decode(carrier)
|
|
return opentracing.tracer.extract(opentracing.Format.TEXT_MAP, carrier)
|
|
|
|
|
|
@only_if_tracing
|
|
def extract_text_map(carrier):
|
|
"""
|
|
Wrapper method for opentracing's tracer.extract for TEXT_MAP.
|
|
Args:
|
|
carrier (dict): a dict possibly containing a span context.
|
|
|
|
Returns:
|
|
The active span context extracted from carrier.
|
|
"""
|
|
return opentracing.tracer.extract(opentracing.Format.TEXT_MAP, carrier)
|
|
|
|
|
|
# Tracing decorators
|
|
|
|
|
|
def trace(func=None, opname=None):
|
|
"""
|
|
Decorator to trace a function.
|
|
Sets the operation name to that of the function's or that given
|
|
as operation_name. See the module's doc string for usage
|
|
examples.
|
|
"""
|
|
|
|
def decorator(func):
|
|
if opentracing is None:
|
|
return func
|
|
|
|
_opname = opname if opname else func.__name__
|
|
|
|
if inspect.iscoroutinefunction(func):
|
|
|
|
@wraps(func)
|
|
async def _trace_inner(*args, **kwargs):
|
|
with start_active_span(_opname):
|
|
return await func(*args, **kwargs)
|
|
|
|
else:
|
|
# The other case here handles both sync functions and those
|
|
# decorated with inlineDeferred.
|
|
@wraps(func)
|
|
def _trace_inner(*args, **kwargs):
|
|
scope = start_active_span(_opname)
|
|
scope.__enter__()
|
|
|
|
try:
|
|
result = func(*args, **kwargs)
|
|
if isinstance(result, defer.Deferred):
|
|
|
|
def call_back(result):
|
|
scope.__exit__(None, None, None)
|
|
return result
|
|
|
|
def err_back(result):
|
|
scope.__exit__(None, None, None)
|
|
return result
|
|
|
|
result.addCallbacks(call_back, err_back)
|
|
|
|
else:
|
|
scope.__exit__(None, None, None)
|
|
|
|
return result
|
|
|
|
except Exception as e:
|
|
scope.__exit__(type(e), None, e.__traceback__)
|
|
raise
|
|
|
|
return _trace_inner
|
|
|
|
if func:
|
|
return decorator(func)
|
|
else:
|
|
return decorator
|
|
|
|
|
|
def tag_args(func):
|
|
"""
|
|
Tags all of the args to the active span.
|
|
"""
|
|
|
|
if not opentracing:
|
|
return func
|
|
|
|
@wraps(func)
|
|
def _tag_args_inner(*args, **kwargs):
|
|
argspec = inspect.getfullargspec(func)
|
|
for i, arg in enumerate(argspec.args[1:]):
|
|
set_tag("ARG_" + arg, args[i])
|
|
set_tag("args", args[len(argspec.args) :])
|
|
set_tag("kwargs", kwargs)
|
|
return func(*args, **kwargs)
|
|
|
|
return _tag_args_inner
|
|
|
|
|
|
@contextlib.contextmanager
|
|
def trace_servlet(request: "SynapseRequest", extract_context: bool = False):
|
|
"""Returns a context manager which traces a request. It starts a span
|
|
with some servlet specific tags such as the request metrics name and
|
|
request information.
|
|
|
|
Args:
|
|
request
|
|
extract_context: Whether to attempt to extract the opentracing
|
|
context from the request the servlet is handling.
|
|
"""
|
|
|
|
if opentracing is None:
|
|
yield
|
|
return
|
|
|
|
request_tags = {
|
|
"request_id": request.get_request_id(),
|
|
tags.SPAN_KIND: tags.SPAN_KIND_RPC_SERVER,
|
|
tags.HTTP_METHOD: request.get_method(),
|
|
tags.HTTP_URL: request.get_redacted_uri(),
|
|
tags.PEER_HOST_IPV6: request.getClientIP(),
|
|
}
|
|
|
|
request_name = request.request_metrics.name
|
|
if extract_context:
|
|
scope = start_active_span_from_request(request, request_name, tags=request_tags)
|
|
else:
|
|
scope = start_active_span(request_name, tags=request_tags)
|
|
|
|
with scope:
|
|
try:
|
|
yield
|
|
finally:
|
|
# We set the operation name again in case its changed (which happens
|
|
# with JsonResource).
|
|
scope.span.set_operation_name(request.request_metrics.name)
|
|
|
|
scope.span.set_tag("request_tag", request.request_metrics.start_context.tag)
|