feat(profiling): gevent support

[P403n1x87]

We add support for gevent in stack-v2. We also improve CPU time accounting for async tasks in general.

This PR also upgrades Echion version we use.

Checklist

• PR author has checked that all the criteria below are met
• The PR description includes an overview of the change
• The PR description articulates the motivation for the change
• The change includes tests OR the PR description describes a testing strategy
• The PR description notes risks associated with the change, if any
• Newly-added code is easy to change
• The change follows the library release note guidelines
• The change includes or references documentation updates if necessary
• Backport labels are set (if applicable)

Reviewer Checklist

• Reviewer has checked that all the criteria below are met
• Title is accurate
• All changes are related to the pull request's stated goal
• Avoids breaking API changes
• Testing strategy adequately addresses listed risks
• Newly-added code is easy to change
• Release note makes sense to a user of the library
• If necessary, author has acknowledged and discussed the performance implications of this PR as reported in the benchmarks PR comment
• Backport labels are set in a manner that is consistent with the release branch maintenance policy

[github-actions]

CODEOWNERS have been resolved as:

ddtrace/profiling/_gevent.py                                            @DataDog/profiling-python
releasenotes/notes/profiling-gevent-support-4d13a9f437a02a27.yaml       @DataDog/apm-python
ddtrace/internal/datadog/profiling/stack_v2/CMakeLists.txt              @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/include/sampler.hpp         @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/include/stack_renderer.hpp  @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/src/sampler.cpp             @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/src/stack_renderer.cpp      @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/src/stack_v2.cpp            @DataDog/profiling-python
ddtrace/profiling/collector/_task.pyx                                   @DataDog/profiling-python
ddtrace/profiling/collector/threading.py                                @DataDog/profiling-python
pyproject.toml                                                          @DataDog/python-guild
tests/profiling/collector/test_task.py                                  @DataDog/profiling-python
tests/profiling_v2/collector/test_stack.py                              @DataDog/profiling-python
tests/profiling_v2/collector/test_threading.py                          @DataDog/profiling-python

[github-actions]

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 273 ± 2 ms.

The average import time from base is: 275 ± 2 ms.

The import time difference between this PR and base is: -2.27 ± 0.09 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.032 ms (0.75%)

ddtrace.bootstrap.sitecustomize 1.354 ms (0.50%)

ddtrace.bootstrap.preload 1.354 ms (0.50%)

ddtrace.internal.remoteconfig.client 0.639 ms (0.23%)

ddtrace 0.678 ms (0.25%)

ddtrace.internal._unpatched 0.033 ms (0.01%)

json 0.033 ms (0.01%)

json.decoder 0.033 ms (0.01%)

re 0.033 ms (0.01%)

enum 0.033 ms (0.01%)

types 0.033 ms (0.01%)

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-06-11 03:03:58

Comparing candidate commit d4ea756 in PR branch profiling/gevent-support with baseline commit df7393f in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 560 metrics, 3 unstable metrics.

scenario:iastaspectsospath-ospathjoin_aspect

• 🟥 execution_time [+849.839ns; +974.201ns] or [+13.895%; +15.929%]

[taegyunkim]

oh yeah, I was about to mention that we'd need the legacy support for stack v1. We'll be able to remove so much code when stack v1 is removed!