test(dramatiq): enable tests for Python 3.14

[wantsui]

Summary

• Bumps the max tested Python version for the dramatiq integration from 3.13 to 3.14 in riotfile.py.
• Regenerates the corresponding riot lockfile (.riot/requirements/17f991e.txt) and supported_versions.json entry.

Test plan

• scripts/lint riot
• Confirmed the new Python 3.14 venv (17f991e) is discovered via scripts/run-tests --list tests/contrib/dramatiq/
• Ran the non-snapshot dramatiq tests directly against the new venv locally (patch/autopatch/retry tests pass on 3.14)
• Full contrib::dramatiq suite (including snapshot tests) — to be validated by CI

[cit-pr-commenter-54b7da]

Codeowners resolved as

Resolved from the full PR diff against main using the target branch CODEOWNERS file.
CODEOWNERS team requests not listed below are not required by the current file set.

.riot/requirements/17f991e.txt                                          @DataDog/apm-python
riotfile.py                                                             @DataDog/apm-python
supported_versions.json                                                 @DataDog/apm-core-python @DataDog/apm-idm-python

[cit-pr-commenter-54b7da]

Dependency direction analysis

⚠️ Existing dependency direction violations

There are 240 dependency direction violations that already exist on the base branch and have not been changed by this PR.

Show existing violations (showing 5 of 240 highest severity)

ddtrace.internal.tracemethods -×-> ddtrace.trace  (internal-core -> product:tracing, score=135)
ddtrace.llmobs._integrations.litellm -×-> ddtrace.trace  (product:llmobs -> product:tracing, score=133)
ddtrace.appsec._contrib.django -×-> ddtrace.trace  (product:appsec -> product:tracing, score=133)
ddtrace.appsec._listeners -×-> ddtrace.trace  (product:appsec -> product:tracing, score=133)
ddtrace.llmobs._telemetry -×-> ddtrace.trace  (product:llmobs -> product:tracing, score=133)

To see all violations, download the layers-base.json and layers-pr.json artifacts from this CI job and run:

uv run --script scripts/import-analysis/layers.py compare layers-base.json layers-pr.json

[cit-pr-commenter-54b7da]

Circular import analysis

⚠️ Existing circular imports

There are 3 circular imports that already exist on the base branch and have not been changed by this PR.

ddtrace.llmobs -> ddtrace.llmobs._evaluators -> ddtrace.llmobs._evaluators.format -> ddtrace.llmobs._experiment -> ddtrace.llmobs
ddtrace.errortracking._handled_exceptions.bytecode_injector -> ddtrace.errortracking._handled_exceptions.callbacks -> ddtrace.errortracking._handled_exceptions.collector -> ddtrace.errortracking._handled_exceptions.bytecode_reporting -> ddtrace.errortracking._handled_exceptions.bytecode_injector
ddtrace.appsec._asm_request_context -> ddtrace.appsec._iast._iast_request_context_base -> ddtrace.appsec._iast._iast_env -> ddtrace.appsec._iast.reporter -> ddtrace.appsec._exploit_prevention.stack_traces -> ddtrace.appsec._asm_request_context

[datadog-prod-us1-4]

 

⚠️ Warnings

❌ Your PR has failed checks. Please review the issues below and take necessary action before merging.

🚦 5 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-py | build linux serverless: [amd64, cp315-cp315, v113741238-d2b8243-manylinux2014_x86_64, 1] — 🔧 Needs a code fix, caused by this PR

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DataDog/apm-reliability/dd-trace-py | build linux serverless: [arm64, cp315-cp315, v113741357-d2b8243-manylinux2014_aarch64, 1]

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ℹ️ Info

No other issues found (see more)

🧪 All tests passed
❄️ No new flaky tests detected

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[pr-commenter]

Benchmarks

Benchmark execution time: 2026-08-26 22:02:27

Comparing candidate commit afdad4a in PR branch worktree-dramatiq-py314 with baseline commit 489a43c in branch main.

📊 Benchmarking dashboard

Found 0 performance improvements and 5 performance regressions! Performance is the same for 579 metrics, 10 unstable metrics, 1 known flaky benchmarks, 17 flaky benchmarks without significant changes.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

• 🟩 = significantly better candidate vs. baseline
• 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:httppropagationinject-ids_only

• 🟥 execution_time [+2.343µs; +2.462µs] or [+14.355%; +15.085%]

scenario:iastaspects-upper_aspect

• 🟥 execution_time [+31.256µs; +37.958µs] or [+13.400%; +16.273%]

scenario:iastaspectsospath-ospathbasename_aspect

• 🟥 execution_time [+112.655µs; +119.879µs] or [+28.484%; +30.310%]

scenario:telemetryaddmetric-1-count-metric-1-times

• 🟥 execution_time [+507.107ns; +544.870ns] or [+18.871%; +20.277%]

scenario:tracer-small

• 🟥 execution_time [+32.770µs; +35.360µs] or [+10.252%; +11.062%]

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:coreapiscenario-context_with_data_listeners

• unstable execution_time [-822.127ns; +662.430ns] or [-7.394%; +5.958%]

scenario:coreapiscenario-core_dispatch_1_listener

• unstable execution_time [-31.346ns; +35.155ns] or [-5.163%; +5.790%]

scenario:coreapiscenario-core_dispatch_50_listeners

• unstable execution_time [-1669.998ns; +1627.573ns] or [-9.831%; +9.582%]

scenario:coreapiscenario-core_dispatch_exception_listeners

• unstable execution_time [-1276.619ns; +1234.615ns] or [-9.773%; +9.451%]

scenario:coreapiscenario-core_dispatch_listeners

• unstable execution_time [-323.293ns; +324.886ns] or [-8.874%; +8.918%]

scenario:coreapiscenario-core_dispatch_no_args_listeners

• unstable execution_time [-250.176ns; +254.029ns] or [-8.651%; +8.785%]

scenario:coreapiscenario-core_dispatch_with_results_1_listener

• unstable execution_time [-63.418ns; +81.167ns] or [-5.310%; +6.797%]

scenario:coreapiscenario-core_dispatch_with_results_50_listeners

• unstable execution_time [-4036.271ns; +3991.306ns] or [-9.796%; +9.687%]

scenario:coreapiscenario-core_dispatch_with_results_listeners

• unstable execution_time [-725.417ns; +816.045ns] or [-8.865%; +9.973%]

scenario:packagesupdateimporteddependencies-import_many_stdlib_cached

• unstable execution_time [-60.678µs; +56.660µs] or [-9.736%; +9.091%]

Known flaky benchmarks

These benchmarks are marked as flaky and will not trigger a failure. Modify FLAKY_BENCHMARKS_REGEX to control which benchmarks are marked as flaky.

scenario:span-start

• 🟥 execution_time [+1.128ms; +1.314ms] or [+7.990%; +9.305%]

Known flaky benchmarks without significant changes:

• scenario:errortrackingflasksqli-baseline
• scenario:flasksimple-iast-get
• scenario:iastaspects-casefold_aspect
• scenario:iastaspects-casefold_noaspect
• scenario:iastaspects-index_aspect
• scenario:iastaspects-ljust_noaspect
• scenario:iastaspects-lower_aspect
• scenario:iastaspects-replace_aspect
• scenario:iastaspects-swapcase_aspect
• scenario:iastaspects-title_noaspect
• scenario:iastaspects-translate_aspect
• scenario:iastaspects-translate_noaspect
• scenario:iastaspects-upper_noaspect
• scenario:packagespackageforrootmodulemapping-cache_off
• scenario:packagespackageforrootmodulemapping-cache_on
• scenario:sethttpmeta-all-enabled
• scenario:telemetryaddmetric-record-100-metrics