import inspect
import logging
import random
from types import TracebackType
from typing import Any
from typing import Callable
from typing import Dict
from typing import List
from typing import NamedTuple
from typing import Optional
from typing import Tuple
from typing import Type
from typing import TYPE_CHECKING
from baseplate.lib import config
from baseplate.lib import metrics
if TYPE_CHECKING:
import baseplate.clients
import baseplate.observers.tracing
import raven
logger = logging.getLogger(__name__)
[docs]class BaseplateObserver:
"""Interface for an observer that watches Baseplate."""
[docs] def on_server_span_created(self, context: "RequestContext", server_span: "ServerSpan") -> None:
"""Do something when a server span is created.
:py:class:`Baseplate` calls this when a new request begins.
:param context: The :py:class:`~baseplate.RequestContext` for this
request.
:param server_span: The span representing this request.
"""
raise NotImplementedError
_ExcInfo = Tuple[Optional[Type[BaseException]], Optional[BaseException], Optional[TracebackType]]
[docs]class SpanObserver:
"""Interface for an observer that watches a span."""
[docs] def on_start(self) -> None:
"""Do something when the observed span is started."""
[docs] def on_set_tag(self, key: str, value: Any) -> None:
"""Do something when a tag is set on the observed span."""
[docs] def on_incr_tag(self, key: str, delta: float) -> None:
"""Do something when a tag value is incremented on the observed span."""
[docs] def on_log(self, name: str, payload: Any) -> None:
"""Do something when a log entry is added to the span."""
[docs] def on_finish(self, exc_info: Optional[_ExcInfo]) -> None:
"""Do something when the observed span is finished.
:param exc_info: If the span ended because of an exception, the
exception info. Otherwise, :py:data:`None`.
"""
[docs] def on_child_span_created(self, span: "Span") -> None:
"""Do something when a child span is created.
:py:class:`SpanObserver` objects call this when a new child span is
created.
:param span: The new child span.
"""
[docs]class ServerSpanObserver(SpanObserver):
"""Interface for an observer that watches the server span."""
[docs]class TraceInfo(NamedTuple):
"""Trace context for a span.
If this request was made at the behest of an upstream service, the upstream
service should have passed along trace information. This class is used for
collecting the trace context and passing it along to the server span.
"""
#: The ID of the whole trace. This will be the same for all downstream requests.
trace_id: int
#: The ID of the parent span, or None if this is the root span.
parent_id: Optional[int]
#: The ID of the current span. Should be unique within a trace.
span_id: int
#: True if this trace was selected for sampling. Will be propagated to child spans.
sampled: Optional[bool]
#: A bit field of extra flags about this trace.
flags: Optional[int]
[docs] @classmethod
def new(cls) -> "TraceInfo":
"""Generate IDs for a new initial server span.
This span has no parent and has a random ID. It cannot be correlated
with any upstream requests.
"""
trace_id = random.getrandbits(64)
return cls(trace_id=trace_id, parent_id=None, span_id=trace_id, sampled=None, flags=None)
[docs] @classmethod
def from_upstream(
cls,
trace_id: Optional[int],
parent_id: Optional[int],
span_id: Optional[int],
sampled: Optional[bool],
flags: Optional[int],
) -> "TraceInfo":
"""Build a TraceInfo from individual headers.
:param trace_id: The ID of the trace.
:param parent_id: The ID of the parent span.
:param span_id: The ID of this span within the tree.
:param sampled: Boolean flag to determine request sampling.
:param flags: Bit flags for communicating feature flags downstream
:raises: :py:exc:`ValueError` if any of the values are inappropriate.
"""
if trace_id is None or not 0 <= trace_id < 2 ** 64:
raise ValueError("invalid trace_id")
if span_id is None or not 0 <= span_id < 2 ** 64:
raise ValueError("invalid span_id")
if parent_id is None or not 0 <= parent_id < 2 ** 64:
raise ValueError("invalid parent_id")
if sampled is not None and not isinstance(sampled, bool):
raise ValueError("invalid sampled value")
if flags is not None:
if not 0 <= flags < 2 ** 64:
raise ValueError("invalid flags value")
return cls(trace_id, parent_id, span_id, sampled, flags)
[docs]class RequestContext:
"""The request context object.
The context object is passed into each request handler by the framework
you're using. In some cases (e.g. Pyramid) the request object will also
inherit from another base class and carry extra framework-specific
information.
Clients and configuration added to the context via
:py:meth:`~baseplate.Baseplate.configure_context` or
:py:meth:`~baseplate.Baseplate.add_to_context` will be available as an
attribute on this object. To take advantage of Baseplate's automatic
monitoring, any interactions with external services should be done through
these clients.
"""
def __init__(
self,
context_config: Dict[str, Any],
prefix: Optional[str] = None,
span: Optional["Span"] = None,
wrapped: Optional["RequestContext"] = None,
):
self.__context_config = context_config
self.__prefix = prefix
self.__wrapped = wrapped
# the context and span reference eachother (unfortunately) so we can't
# construct 'em both with references from the start. however, we can
# guarantee that during the valid life of a span, there will be a
# reference. so we fake it here and say "trust us".
#
# this would be much cleaner with a different API but this is where we are.
self.trace: "Span" = span # type: ignore
def __getattr__(self, name: str) -> Any:
try:
config_item = self.__context_config[name]
except KeyError:
try:
return getattr(self.__wrapped, name)
except AttributeError:
raise AttributeError(
f"{repr(self.__class__.__name__)} object has no attribute {repr(name)}"
) from None
if self.__prefix:
full_name = f"{self.__prefix}.{name}"
else:
full_name = name
if isinstance(config_item, dict):
obj = RequestContext(context_config=config_item, prefix=full_name, span=self.trace)
elif hasattr(config_item, "make_object_for_context"):
obj = config_item.make_object_for_context(full_name, self.trace)
else:
obj = config_item
setattr(self, name, obj)
return obj
# this is just here for type checking
# pylint: disable=useless-super-delegation
def __setattr__(self, name: str, value: Any) -> None:
super().__setattr__(name, value)
def clone(self) -> "RequestContext":
return RequestContext(
context_config=self.__context_config,
prefix=self.__prefix,
span=self.trace,
wrapped=self,
)
[docs]class Baseplate:
"""The core of the Baseplate framework.
This class coordinates monitoring and tracing of service calls made to
and from this service. See :py:mod:`baseplate.frameworks` for how to
integrate it with the application framework you are using.
"""
def __init__(self) -> None:
self.observers: List[BaseplateObserver] = []
self._metrics_client: Optional[metrics.Client] = None
self._context_config: Dict[str, Any] = {}
[docs] def register(self, observer: BaseplateObserver) -> None:
"""Register an observer.
:param observer: An observer.
"""
self.observers.append(observer)
[docs] def configure_context(self, app_config: config.RawConfig, context_spec: Dict[str, Any]) -> None:
"""Add a number of objects to each request's context object.
Configure and attach multiple clients to the
:py:class:`~baseplate.RequestContext` in one place. This takes a full
configuration spec like :py:func:`baseplate.lib.config.parse_config`
and will attach the specified structure onto the context object each
request.
For example, a configuration like::
baseplate = Baseplate()
baseplate.configure_context(app_config, {
"cfg": {
"doggo_is_good": config.Boolean,
},
"cache": MemcachedClient(),
"cassandra": {
"foo": CassandraClient(),
"bar": CassandraClient(),
},
})
would build a context object that could be used like::
assert context.cfg.doggo_is_good == True
context.cache.get("example")
context.cassandra.foo.execute()
:param app_config: The raw stringy configuration dictionary.
:param context_spec: A specification of what the configuration should
look like.
"""
cfg = config.parse_config(app_config, context_spec)
self._context_config.update(cfg)
[docs] def add_to_context(
self, name: str, context_factory: "baseplate.clients.ContextFactory"
) -> None:
"""Add an attribute to each request's context object.
On each request, the factory will be asked to create an appropriate
object to attach to the :py:class:`~baseplate.RequestContext`.
:param name: The attribute on the context object to attach the
created object to. This may also be used for metric/tracing
purposes so it should be descriptive.
:param context_factory: A factory.
"""
self._context_config[name] = context_factory
[docs] def make_context_object(self) -> RequestContext:
"""Make a context object for the request."""
return RequestContext(self._context_config)
[docs] def make_server_span(
self, context: RequestContext, name: str, trace_info: Optional[TraceInfo] = None
) -> "ServerSpan":
"""Return a server span representing the request we are handling.
In a server, a server span represents the time spent on a single
incoming request. Any calls made to downstream services will be new
child spans of the server span, and the server span will in turn be the
child span of whatever upstream request it is part of, if any.
:param context: The :py:class:`~baseplate.RequestContext` for this
request.
:param name: A name to identify the type of this request, e.g. a route
or RPC method name.
:param trace_info: The trace context of this request as passed in from
upstream. If :py:data:`None`, a new trace context will be generated.
"""
assert isinstance(context, RequestContext)
if trace_info is None:
trace_info = TraceInfo.new()
server_span = ServerSpan(
trace_info.trace_id,
trace_info.parent_id,
trace_info.span_id,
trace_info.sampled,
trace_info.flags,
name,
context,
)
context.trace = server_span
for observer in self.observers:
observer.on_server_span_created(context, server_span)
return server_span
def get_runtime_metric_reporters(self) -> Dict[str, Callable[[Any], None]]:
specs: List[Tuple[Optional[str], Dict[str, Any]]] = [(None, self._context_config)]
result = {}
while specs:
prefix, spec = specs.pop(0)
for name, value in spec.items():
if prefix:
full_name = f"{prefix}.{name}"
else:
full_name = name
if isinstance(value, dict):
specs.append((full_name, value))
elif hasattr(value, "report_runtime_metrics"):
result[full_name] = value.report_runtime_metrics
return result
[docs]class Span:
"""A span represents a single RPC within a system."""
def __init__(
self,
trace_id: int,
parent_id: Optional[int],
span_id: int,
sampled: Optional[bool],
flags: Optional[int],
name: str,
context: RequestContext,
):
self.trace_id = trace_id
self.parent_id = parent_id
self.id = span_id
self.sampled = sampled
self.flags = flags
self.name = name
self.context = context
self.component_name: Optional[str] = None
self.observers: List[SpanObserver] = []
[docs] def register(self, observer: SpanObserver) -> None:
"""Register an observer to receive events from this span."""
self.observers.append(observer)
[docs] def start(self) -> None:
"""Record the start of the span.
This notifies any observers that the span has started, which indicates
that timers etc. should start ticking.
Spans also support the `context manager protocol`_, for use with
Python's ``with`` statement. When the context is entered, the span
calls :py:meth:`start` and when the context is exited it automatically
calls :py:meth:`finish`.
.. _context manager protocol:
https://docs.python.org/3/reference/datamodel.html#context-managers
"""
for observer in self.observers:
observer.on_start()
[docs] def set_tag(self, key: str, value: Any) -> None:
"""Set a tag on the span.
Tags are arbitrary key/value pairs that add context and meaning to the
span, such as a hostname or query string. Observers may interpret or
ignore tags as they desire.
:param key: The name of the tag.
:param value: The value of the tag.
"""
for observer in self.observers:
observer.on_set_tag(key, value)
[docs] def incr_tag(self, key: str, delta: float = 1) -> None:
"""Increment a tag value on the span.
This is useful to count instances of an event in your application. In
addition to showing up as a tag on the span, the value may also be
aggregated separately as an independent counter.
:param key: The name of the tag.
:param value: The amount to increment the value. Defaults to 1.
"""
for observer in self.observers:
observer.on_incr_tag(key, delta)
[docs] def log(self, name: str, payload: Optional[Any] = None) -> None:
"""Add a log entry to the span.
Log entries are timestamped events recording notable moments in the
lifetime of a span.
:param name: The name of the log entry. This should be a stable
identifier that can apply to multiple span instances.
:param payload: Optional log entry payload. This can be arbitrary data.
"""
for observer in self.observers:
observer.on_log(name, payload)
[docs] def finish(self, exc_info: Optional[_ExcInfo] = None) -> None:
"""Record the end of the span.
:param exc_info: If the span ended because of an exception, this is
the exception information. The default is :py:data:`None` which
indicates normal exit.
"""
for observer in self.observers:
observer.on_finish(exc_info)
# clean up reference cycles
self.context = None # type: ignore
self.observers.clear()
def __enter__(self) -> "Span":
self.start()
return self
def __exit__(
self,
exc_type: Optional[Type[BaseException]],
value: Optional[BaseException],
traceback: Optional[TracebackType],
) -> None:
if exc_type is not None:
self.finish(exc_info=(exc_type, value, traceback))
else:
self.finish()
[docs] def make_child(
self, name: str, local: bool = False, component_name: Optional[str] = None
) -> "Span":
"""Return a child Span whose parent is this Span."""
raise NotImplementedError
class LocalSpan(Span):
def make_child(
self, name: str, local: bool = False, component_name: Optional[str] = None
) -> "Span":
"""Return a child Span whose parent is this Span.
The child span can either be a local span representing an in-request
operation or a span representing an outbound service call.
In a server, a local span represents the time spent within a
local component performing an operation or set of operations.
The local component is some grouping of business logic,
which is then split up into operations which could each be wrapped
in local spans.
:param name: Name to identify the operation this span
is recording.
:param local: Make this span a LocalSpan if True, otherwise
make this span a base Span.
:param component_name: Name to identify local component
this span is recording in if it is a local span.
"""
span_id = random.getrandbits(64)
context_copy = self.context.clone()
span: Span
if local:
span = LocalSpan(
self.trace_id, self.id, span_id, self.sampled, self.flags, name, context_copy
)
span.component_name = component_name
else:
span = Span(
self.trace_id, self.id, span_id, self.sampled, self.flags, name, context_copy
)
context_copy.trace = span
for observer in self.observers:
observer.on_child_span_created(span)
return span
[docs]class ServerSpan(LocalSpan):
"""A server span represents a request this server is handling.
The server span is available on the :py:class:`~baseplate.RequestContext`
during requests as the ``trace`` attribute.
"""
__all__ = ["Baseplate"]
