Add experimental profiler under experiments.enable_profiling

sentry_sdk/client.py

@@ -401,6 +401,10 @@ def capture_event(
             envelope = Envelope(headers=headers)
 
             if is_transaction:
+                if "profile" in event_opt:
+                    event_opt["profile"]["transaction_id"] = event_opt["event_id"]
+                    event_opt["profile"]["version_name"] = event_opt["release"]
+                    envelope.add_profile(event_opt.pop("profile"))
                 envelope.add_transaction(event_opt)
             else:
                 envelope.add_event(event_opt)

sentry_sdk/consts.py

@@ -34,6 +34,7 @@
             "smart_transaction_trimming": Optional[bool],
             "propagate_tracestate": Optional[bool],
             "custom_measurements": Optional[bool],
+            "enable_profiling": Optional[bool],
         },
         total=False,
     )

sentry_sdk/envelope.py

@@ -62,6 +62,12 @@ def add_transaction(
         # type: (...) -> None
         self.add_item(Item(payload=PayloadRef(json=transaction), type="transaction"))
 
+    def add_profile(
+        self, profile  # type: Any
+    ):
+        # type: (...) -> None
+        self.add_item(Item(payload=PayloadRef(json=profile), type="profile"))
+
     def add_session(
         self, session  # type: Union[Session, Any]
     ):

sentry_sdk/integrations/wsgi.py

@@ -11,6 +11,7 @@
 from sentry_sdk.tracing import Transaction
 from sentry_sdk.sessions import auto_session_tracking
 from sentry_sdk.integrations._wsgi_common import _filter_headers
+from sentry_sdk.profiler import profiling
 
 from sentry_sdk._types import MYPY
 
@@ -127,7 +128,7 @@ def __call__(self, environ, start_response):
 
                     with hub.start_transaction(
                         transaction, custom_sampling_context={"wsgi_environ": environ}
-                    ):
+                    ), profiling(transaction, hub):
                         try:
                             rv = self.app(
                                 environ,

sentry_sdk/profiler.py

@@ -0,0 +1,212 @@
+"""
+This file is originally based on code from https://github.com/nylas/nylas-perftools, which is published under the following license:
+
+The MIT License (MIT)
+
+Copyright (c) 2014 Nylas
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+"""
+
+import atexit
+import signal
+import time
+from contextlib import contextmanager
+
+import sentry_sdk
+from sentry_sdk._compat import PY2
+from sentry_sdk.utils import logger
+
+if PY2:
+    import thread  # noqa
+else:
+    import threading
+
+from sentry_sdk._types import MYPY
+
+if MYPY:
+    import typing
+    from typing import Generator
+    from typing import Optional
+    import sentry_sdk.tracing
+
+
+if PY2:
+
+    def thread_id():
+        # type: () -> int
+        return thread.get_ident()
+
+    def nanosecond_time():
+        # type: () -> int
+        return int(time.clock() * 1e9)
+
+else:
+
+    def thread_id():
+        # type: () -> int
+        return threading.get_ident()
+
+    def nanosecond_time():
+        # type: () -> int
+        return int(time.perf_counter() * 1e9)
+
+
+class FrameData:
+    def __init__(self, frame):
+        # type: (typing.Any) -> None
+        self.function_name = frame.f_code.co_name
+        self.module = frame.f_globals["__name__"]
+
+        # Depending on Python version, frame.f_code.co_filename either stores just the file name or the entire absolute path.
+        self.file_name = frame.f_code.co_filename
+        self.line_number = frame.f_code.co_firstlineno
+
+    @property
+    def _attribute_tuple(self):
+        # type: () -> typing.Tuple[str, str, str, int]
+        """Returns a tuple of the attributes used in comparison"""
+        return (self.function_name, self.module, self.file_name, self.line_number)
+
+    def __eq__(self, other):
+        # type: (typing.Any) -> bool
+        if isinstance(other, FrameData):
+            return self._attribute_tuple == other._attribute_tuple
+        return False
+
+    def __hash__(self):
+        # type: () -> int
+        return hash(self._attribute_tuple)
+
+
+class StackSample:
+    def __init__(self, top_frame, profiler_start_time, frame_indices):
+        # type: (typing.Any, int, typing.Dict[FrameData, int]) -> None
+        self.sample_time = nanosecond_time() - profiler_start_time
+        self.stack = []  # type: typing.List[int]
+        self._add_all_frames(top_frame, frame_indices)
+
+    def _add_all_frames(self, top_frame, frame_indices):
+        # type: (typing.Any, typing.Dict[FrameData, int]) -> None
+        frame = top_frame
+        while frame is not None:
+            frame_data = FrameData(frame)
+            if frame_data not in frame_indices:
+                frame_indices[frame_data] = len(frame_indices)
+            self.stack.append(frame_indices[frame_data])
+            frame = frame.f_back
+        self.stack = list(reversed(self.stack))
+
+
+class Sampler(object):
+    """
+    A simple stack sampler for low-overhead CPU profiling: samples the call
+    stack every `interval` seconds and keeps track of counts by frame. Because
+    this uses signals, it only works on the main thread.
+    """
+
+    def __init__(self, transaction, interval=0.01):
+        # type: (sentry_sdk.tracing.Transaction, float) -> None
+        self.interval = interval
+        self.stack_samples = []  # type: typing.List[StackSample]
+        self._frame_indices = dict()  # type: typing.Dict[FrameData, int]
+        self._transaction = transaction
+        self.duration = 0  # This value will only be correct after the profiler has been started and stopped
+        transaction._profile = self
+
+    def __enter__(self):
+        # type: () -> None
+        self.start()
+
+    def __exit__(self, *_):
+        # type: (*typing.List[typing.Any]) -> None
+        self.stop()
+
+    def start(self):
+        # type: () -> None
+        self._start_time = nanosecond_time()
+        self.stack_samples = []
+        self._frame_indices = dict()
+        try:
+            signal.signal(signal.SIGVTALRM, self._sample)
+        except ValueError:
+            logger.error(
+                "Profiler failed to run because it was started from a non-main thread"
+            )
+            return
+
+        signal.setitimer(signal.ITIMER_VIRTUAL, self.interval)
+        atexit.register(self.stop)
+
+    def _sample(self, _, frame):
+        # type: (typing.Any, typing.Any) -> None
+        self.stack_samples.append(
+            StackSample(frame, self._start_time, self._frame_indices)
+        )
+        signal.setitimer(signal.ITIMER_VIRTUAL, self.interval)
+
+    def to_json(self):
+        # type: () -> typing.Any
+        """
+        Exports this object to a JSON format compatible with Sentry's profiling visualizer.
+        Returns dictionary which can be serialized to JSON.
+        """
+        return {
+            "samples": [
+                {
+                    "frames": sample.stack,
+                    "relative_timestamp_ns": sample.sample_time,
+                    "thread_id": thread_id(),
+                }
+                for sample in self.stack_samples
+            ],
+            "frames": [
+                {
+                    "name": frame.function_name,
+                    "file": frame.file_name,
+                    "line": frame.line_number,
+                }
+                for frame in self.frame_list()
+            ],
+        }
+
+    def frame_list(self):
+        # type: () -> typing.List[FrameData]
+        # Build frame array from the frame indices
+        frames = [None] * len(self._frame_indices)  # type: typing.List[typing.Any]
+        for frame, index in self._frame_indices.items():
+            frames[index] = frame
+        return frames
+
+    def stop(self):
+        # type: () -> None
+        self.duration = nanosecond_time() - self._start_time
+        signal.setitimer(signal.ITIMER_VIRTUAL, 0)
+
+    @property
+    def transaction_name(self):
+        # type: () -> str
+        return self._transaction.name
+
+
+def has_profiling_enabled(hub=None):
+    # type: (Optional[sentry_sdk.Hub]) -> bool
+    if hub is None:
+        hub = sentry_sdk.Hub.current
+
+    options = hub.client and hub.client.options
+    return bool(options and options["_experiments"].get("enable_profiling"))
+
+
+@contextmanager
+def profiling(transaction, hub=None):
+    # type: (sentry_sdk.tracing.Transaction, Optional[sentry_sdk.Hub]) -> Generator[None, None, None]
+    if has_profiling_enabled(hub):
+        with Sampler(transaction):
+            yield
+    else:
+        yield

sentry_sdk/tracing.py

@@ -1,11 +1,13 @@
 import uuid
 import random
 import time
+import platform
 
 from datetime import datetime, timedelta
 
 import sentry_sdk
 
+from sentry_sdk.profiler import has_profiling_enabled
 from sentry_sdk.utils import logger
 from sentry_sdk._types import MYPY
 
@@ -19,6 +21,7 @@
     from typing import List
     from typing import Tuple
     from typing import Iterator
+    from sentry_sdk.profiler import Sampler
 
     from sentry_sdk._types import SamplingContext, MeasurementUnit
 
@@ -533,6 +536,7 @@ class Transaction(Span):
         # tracestate data from other vendors, of the form `dogs=yes,cats=maybe`
         "_third_party_tracestate",
         "_measurements",
+        "_profile",
         "_baggage",
     )
 
@@ -566,6 +570,7 @@ def __init__(
         self._sentry_tracestate = sentry_tracestate
         self._third_party_tracestate = third_party_tracestate
         self._measurements = {}  # type: Dict[str, Any]
+        self._profile = None  # type: Optional[Sampler]
         self._baggage = baggage
 
     def __repr__(self):
@@ -658,6 +663,27 @@ def finish(self, hub=None):
             "spans": finished_spans,
         }
 
+        if (
+            has_profiling_enabled(hub)
+            and hub.client is not None
+            and self._profile is not None
+        ):
+            event["profile"] = {
+                "device_os_name": platform.system(),
+                "device_os_version": platform.release(),
+                "duration_ns": self._profile.duration,
+                "environment": hub.client.options["environment"],
+                "platform": "python",
+                "platform_version": platform.python_version(),
+                "profile_id": uuid.uuid4().hex,
+                "profile": self._profile.to_json(),
+                "trace_id": self.trace_id,
+                "transaction_id": None,  # Gets added in client.py
+                "transaction_name": self.name,
+                "version_code": "",  # TODO: Determine appropriate value. Currently set to empty string so profile will not get rejected.
+                "version_name": None,  # Gets added in client.py
+            }
+
         if has_custom_measurements_enabled():
             event["measurements"] = self._measurements
 

tests/integrations/wsgi/test_wsgi.py

@@ -279,3 +279,43 @@ def sample_app(environ, start_response):
     assert session_aggregates[0]["exited"] == 2
     assert session_aggregates[0]["crashed"] == 1
     assert len(session_aggregates) == 1
+
+
+def test_profile_sent_when_profiling_enabled(capture_envelopes, sentry_init):
+    def test_app(environ, start_response):
+        start_response("200 OK", [])
+        return ["Go get the ball! Good dog!"]
+
+    sentry_init(traces_sample_rate=1.0, _experiments={"enable_profiling": True})
+    app = SentryWsgiMiddleware(test_app)
+    envelopes = capture_envelopes()
+
+    client = Client(app)
+    client.get("/")
+
+    profile_sent = False
+    for item in envelopes[0].items:
+        if item.headers["type"] == "profile":
+            profile_sent = True
+            break
+    assert profile_sent
+
+
+def test_profile_not_sent_when_profiling_disabled(capture_envelopes, sentry_init):
+    def test_app(environ, start_response):
+        start_response("200 OK", [])
+        return ["Go get the ball! Good dog!"]
+
+    sentry_init(traces_sample_rate=1.0)
+    app = SentryWsgiMiddleware(test_app)
+    envelopes = capture_envelopes()
+
+    client = Client(app)
+    client.get("/")
+
+    profile_sent = False
+    for item in envelopes[0].items:
+        if item.headers["type"] == "profile":
+            profile_sent = True
+            break
+    assert not profile_sent