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# -*- coding: utf-8 -*-
# Copyright 2019 The Matrix.org Foundation C.I.C.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# NOTE
# This is a small wrapper around opentracing because opentracing is not currently
# packaged downstream (specifically debian). Since opentracing instrumentation is
# fairly invasive it was awkward to make it optional. As a result we opted to encapsulate
# all opentracing state in these methods which effectively noop if opentracing is
# not present. We should strongly consider encouraging the downstream distributers
# to package opentracing and making opentracing a full dependency. In order to facilitate
# this move the methods have work very similarly to opentracing's and it should only
# be a matter of few regexes to move over to opentracing's access patterns proper.
"""
============================
Using OpenTracing in Synapse
============================
Python-specific tracing concepts are at https://opentracing.io/guides/python/.
Note that Synapse wraps OpenTracing in a small module (this one) in order to make the
OpenTracing dependency optional. That means that the access patterns are
different to those demonstrated in the OpenTracing guides. However, it is
still useful to know, especially if OpenTracing is included as a full dependency
in the future or if you are modifying this module.
OpenTracing is encapsulated so that
no span objects from OpenTracing are exposed in Synapse's code. This allows
OpenTracing to be easily disabled in Synapse and thereby have OpenTracing as
an optional dependency. This does however limit the number of modifiable spans
at any point in the code to one. From here out references to `opentracing`
in the code snippets refer to the Synapses module.
Most methods provided in the module have a direct correlation to those provided
by opentracing. Refer to docs there for a more in-depth documentation on some of
the args and methods.
Tracing
-------
In Synapse it is not possible to start a non-active span. Spans can be started
using the ``start_active_span`` method. This returns a scope (see
OpenTracing docs) which is a context manager that needs to be entered and
exited. This is usually done by using ``with``.
.. code-block:: python
from synapse.logging.opentracing import start_active_span
with start_active_span("operation name"):
# Do something we want to tracer
Forgetting to enter or exit a scope will result in some mysterious and grievous log
context errors.
At anytime where there is an active span ``opentracing.set_tag`` can be used to
set a tag on the current active span.
Tracing functions
-----------------
Functions can be easily traced using decorators. The name of
the function becomes the operation name for the span.
.. code-block:: python
from synapse.logging.opentracing import trace
# Start a span using 'interesting_function' as the operation name
@trace
def interesting_function(*args, **kwargs):
# Does all kinds of cool and expected things
return something_usual_and_useful
Operation names can be explicitly set for a function by passing the
operation name to ``trace``
.. code-block:: python
from synapse.logging.opentracing import trace
@trace(opname="a_better_operation_name")
def interesting_badly_named_function(*args, **kwargs):
# Does all kinds of cool and expected things
return something_usual_and_useful
Setting Tags
------------
To set a tag on the active span do
.. code-block:: python
from synapse.logging.opentracing import set_tag
set_tag(tag_name, tag_value)
There's a convenient decorator to tag all the args of the method. It uses
inspection in order to use the formal parameter names prefixed with 'ARG_' as
tag names. It uses kwarg names as tag names without the prefix.
.. code-block:: python
from synapse.logging.opentracing import tag_args
@tag_args
def set_fates(clotho, lachesis, atropos, father="Zues", mother="Themis"):
pass
set_fates("the story", "the end", "the act")
# This will have the following tags
# - ARG_clotho: "the story"
# - ARG_lachesis: "the end"
# - ARG_atropos: "the act"
# - father: "Zues"
# - mother: "Themis"
Contexts and carriers
---------------------
There are a selection of wrappers for injecting and extracting contexts from
carriers provided. Unfortunately OpenTracing's three context injection
techniques are not adequate for our inject of OpenTracing span-contexts into
Twisted's http headers, EDU contents and our database tables. Also note that
the binary encoding format mandated by OpenTracing is not actually implemented
by jaeger_client v4.0.0 - it will silently noop.
Please refer to the end of ``logging/opentracing.py`` for the available
injection and extraction methods.
Homeserver whitelisting
-----------------------
Most of the whitelist checks are encapsulated in the modules's injection
and extraction method but be aware that using custom carriers or crossing
unchartered waters will require the enforcement of the whitelist.
``logging/opentracing.py`` has a ``whitelisted_homeserver`` method which takes
in a destination and compares it to the whitelist.
Most injection methods take a 'destination' arg. The context will only be injected
if the destination matches the whitelist or the destination is None.
=======
Gotchas
=======
- Checking whitelists on span propagation
- Inserting pii
- Forgetting to enter or exit a scope
- Span source: make sure that the span you expect to be active across a
function call really will be that one. Does the current function have more
than one caller? Will all of those calling functions have be in a context
with an active span?
"""
import contextlib
import inspect
import logging
import re
import types
from functools import wraps
from typing import Dict
from canonicaljson import json
from twisted.internet import defer
from synapse.config import ConfigError
# Helper class
class _DummyTagNames(object):
"""wrapper of opentracings tags. We need to have them if we
want to reference them without opentracing around. Clearly they
should never actually show up in a trace. `set_tags` overwrites
these with the correct ones."""
INVALID_TAG = "invalid-tag"
COMPONENT = INVALID_TAG
DATABASE_INSTANCE = INVALID_TAG
DATABASE_STATEMENT = INVALID_TAG
DATABASE_TYPE = INVALID_TAG
DATABASE_USER = INVALID_TAG
ERROR = INVALID_TAG
HTTP_METHOD = INVALID_TAG
HTTP_STATUS_CODE = INVALID_TAG
HTTP_URL = INVALID_TAG
MESSAGE_BUS_DESTINATION = INVALID_TAG
PEER_ADDRESS = INVALID_TAG
PEER_HOSTNAME = INVALID_TAG
PEER_HOST_IPV4 = INVALID_TAG
PEER_HOST_IPV6 = INVALID_TAG
PEER_PORT = INVALID_TAG
PEER_SERVICE = INVALID_TAG
SAMPLING_PRIORITY = INVALID_TAG
SERVICE = INVALID_TAG
SPAN_KIND = INVALID_TAG
SPAN_KIND_CONSUMER = INVALID_TAG
SPAN_KIND_PRODUCER = INVALID_TAG
SPAN_KIND_RPC_CLIENT = INVALID_TAG
SPAN_KIND_RPC_SERVER = INVALID_TAG
try:
import opentracing
tags = opentracing.tags
except ImportError:
opentracing = None
tags = _DummyTagNames
try:
from jaeger_client import Config as JaegerConfig
from synapse.logging.scopecontextmanager import LogContextScopeManager
except ImportError:
JaegerConfig = None # type: ignore
LogContextScopeManager = None # type: ignore
logger = logging.getLogger(__name__)
# Block everything by default
# A regex which matches the server_names to expose traces for.
# None means 'block everything'.
_homeserver_whitelist = None
# Util methods
def only_if_tracing(func):
"""Executes the function only if we're tracing. Otherwise returns None."""
@wraps(func)
def _only_if_tracing_inner(*args, **kwargs):
if opentracing:
return func(*args, **kwargs)
else:
return
return _only_if_tracing_inner
def ensure_active_span(message, ret=None):
"""Executes the operation only if opentracing is enabled and there is an active span.
If there is no active span it logs message at the error level.
Args:
message (str): Message which fills in "There was no active span when trying to %s"
in the error log if there is no active span and opentracing is enabled.
ret (object): return value if opentracing is None or there is no active span.
Returns (object): The result of the func or ret if opentracing is disabled or there
was no active span.
"""
def ensure_active_span_inner_1(func):
@wraps(func)
def ensure_active_span_inner_2(*args, **kwargs):
if not opentracing:
return ret
if not opentracing.tracer.active_span:
logger.error(
"There was no active span when trying to %s."
" Did you forget to start one or did a context slip?",
message,
)
return ret
return func(*args, **kwargs)
return ensure_active_span_inner_2
return ensure_active_span_inner_1
@contextlib.contextmanager
def _noop_context_manager(*args, **kwargs):
"""Does exactly what it says on the tin"""
yield
# Setup
def init_tracer(config):
"""Set the whitelists and initialise the JaegerClient tracer
Args:
config (HomeserverConfig): The config used by the homeserver
"""
global opentracing
if not config.opentracer_enabled:
# We don't have a tracer
opentracing = None
return
if not opentracing or not JaegerConfig:
raise ConfigError(
"The server has been configured to use opentracing but opentracing is not "
"installed."
)
# Include the worker name
name = config.worker_name if config.worker_name else "master"
# Pull out the jaeger config if it was given. Otherwise set it to something sensible.
# See https://github.com/jaegertracing/jaeger-client-python/blob/master/jaeger_client/config.py
set_homeserver_whitelist(config.opentracer_whitelist)
JaegerConfig(
config=config.jaeger_config,
service_name="{} {}".format(config.server_name, name),
scope_manager=LogContextScopeManager(config),
).initialize_tracer()
# Whitelisting
@only_if_tracing
def set_homeserver_whitelist(homeserver_whitelist):
"""Sets the homeserver whitelist
Args:
homeserver_whitelist (Iterable[str]): regex of whitelisted homeservers
"""
global _homeserver_whitelist
if homeserver_whitelist:
# Makes a single regex which accepts all passed in regexes in the list
_homeserver_whitelist = re.compile(
"({})".format(")|(".join(homeserver_whitelist))
)
@only_if_tracing
def whitelisted_homeserver(destination):
"""Checks if a destination matches the whitelist
Args:
destination (str)
"""
if _homeserver_whitelist:
return _homeserver_whitelist.match(destination)
return False
# Start spans and scopes
# Could use kwargs but I want these to be explicit
def start_active_span(
operation_name,
child_of=None,
references=None,
tags=None,
start_time=None,
ignore_active_span=False,
finish_on_close=True,
):
"""Starts an active opentracing span. Note, the scope doesn't become active
until it has been entered, however, the span starts from the time this
message is called.
Args:
See opentracing.tracer
Returns:
scope (Scope) or noop_context_manager
"""
if opentracing is None:
return _noop_context_manager()
return opentracing.tracer.start_active_span(
operation_name,
child_of=child_of,
references=references,
tags=tags,
start_time=start_time,
ignore_active_span=ignore_active_span,
finish_on_close=finish_on_close,
)
def start_active_span_follows_from(operation_name, contexts):
if opentracing is None:
return _noop_context_manager()
references = [opentracing.follows_from(context) for context in contexts]
scope = start_active_span(operation_name, references=references)
return scope
def start_active_span_from_request(
request,
operation_name,
references=None,
tags=None,
start_time=None,
ignore_active_span=False,
finish_on_close=True,
):
"""
Extracts a span context from a Twisted Request.
args:
headers (twisted.web.http.Request)
For the other args see opentracing.tracer
returns:
span_context (opentracing.span.SpanContext)
"""
# Twisted encodes the values as lists whereas opentracing doesn't.
# So, we take the first item in the list.
# Also, twisted uses byte arrays while opentracing expects strings.
if opentracing is None:
return _noop_context_manager()
header_dict = {
k.decode(): v[0].decode() for k, v in request.requestHeaders.getAllRawHeaders()
}
context = opentracing.tracer.extract(opentracing.Format.HTTP_HEADERS, header_dict)
return opentracing.tracer.start_active_span(
operation_name,
child_of=context,
references=references,
tags=tags,
start_time=start_time,
ignore_active_span=ignore_active_span,
finish_on_close=finish_on_close,
)
def start_active_span_from_edu(
edu_content,
operation_name,
references=[],
tags=None,
start_time=None,
ignore_active_span=False,
finish_on_close=True,
):
"""
Extracts a span context from an edu and uses it to start a new active span
Args:
edu_content (dict): and edu_content with a `context` field whose value is
canonical json for a dict which contains opentracing information.
For the other args see opentracing.tracer
"""
if opentracing is None:
return _noop_context_manager()
carrier = json.loads(edu_content.get("context", "{}")).get("opentracing", {})
context = opentracing.tracer.extract(opentracing.Format.TEXT_MAP, carrier)
_references = [
opentracing.child_of(span_context_from_string(x))
for x in carrier.get("references", [])
]
# For some reason jaeger decided not to support the visualization of multiple parent
# spans or explicitely show references. I include the span context as a tag here as
# an aid to people debugging but it's really not an ideal solution.
references += _references
scope = opentracing.tracer.start_active_span(
operation_name,
child_of=context,
references=references,
tags=tags,
start_time=start_time,
ignore_active_span=ignore_active_span,
finish_on_close=finish_on_close,
)
scope.span.set_tag("references", carrier.get("references", []))
return scope
# Opentracing setters for tags, logs, etc
@ensure_active_span("set a tag")
def set_tag(key, value):
"""Sets a tag on the active span"""
opentracing.tracer.active_span.set_tag(key, value)
@ensure_active_span("log")
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.dumps(carrier)
@only_if_tracing
def span_context_from_string(carrier):
"""
Returns:
The active span context decoded from a string.
"""
carrier = json.loads(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__
@wraps(func)
def _trace_inner(*args, **kwargs):
if opentracing is None:
return func(*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.span.set_tag(tags.ERROR, True)
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.getargspec(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
def trace_servlet(servlet_name, extract_context=False):
"""Decorator which traces a serlet. It starts a span with some servlet specific
tags such as the servlet_name and request information
Args:
servlet_name (str): The name to be used for the span's operation_name
extract_context (bool): Whether to attempt to extract the opentracing
context from the request the servlet is handling.
"""
def _trace_servlet_inner_1(func):
if not opentracing:
return func
@wraps(func)
async def _trace_servlet_inner(request, *args, **kwargs):
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(),
}
if extract_context:
scope = start_active_span_from_request(
request, servlet_name, tags=request_tags
)
else:
scope = start_active_span(servlet_name, tags=request_tags)
with scope:
result = func(request, *args, **kwargs)
if not isinstance(result, (types.CoroutineType, defer.Deferred)):
# Some servlets aren't async and just return results
# directly, so we handle that here.
return result
return await result
return _trace_servlet_inner
return _trace_servlet_inner_1
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