chore: add ddtrace-internal as dependency

[emmettbutler]

No description provided.

[cit-pr-commenter-54b7da]

Codeowners resolved as

lib-injection/sources/requirements.csv                                  @DataDog/apm-core-python
requirements.csv                                                        @DataDog/apm-core-python

[datadog-official]

 

✨ Fix all issues with BitsAI

⚠️ Warnings

🚦 38 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-py | build linux serverless: [amd64, cp315-cp315, v113741491-d2b8243-musllinux_1_2_x86_64, 1]     

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

DataDog/apm-reliability/dd-trace-py | build linux: [amd64, cp315-cp315, v113741491-d2b8243-musllinux_1_2_x86_64]     

View all 38 failed jobs.

ℹ️ Info

No other issues found (see more)

🧪 All tests passed
❄️ No new flaky tests detected

🔄 Datadog auto-retried 2 jobs - 0 passed on retry

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[cit-pr-commenter-54b7da]

Circular import analysis

⚠️ Existing circular imports

There are 4974 circular imports that already exist on the base branch and have not been changed by this PR.

Show existing cycles (showing 5 of 4974 shortest)

ddtrace.internal.datastreams -> ddtrace.internal.datastreams.kombu -> ddtrace.internal.datastreams
ddtrace.internal.datastreams -> ddtrace.internal.datastreams.aiokafka -> ddtrace.internal.datastreams
ddtrace.internal.datastreams -> ddtrace.internal.datastreams.kafka -> ddtrace.internal.datastreams
ddtrace.internal.core -> ddtrace._trace.span -> ddtrace.internal.core
ddtrace.internal.datastreams -> ddtrace.internal.datastreams.google_cloud_pubsub -> ddtrace.internal.datastreams

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

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

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Add a lower bound for ddtrace-internal

This new runtime dependency only has an upper bound, but scripts/check-dependency-bounds rejects project dependencies without both lower and upper bounds and the generated “Check project dependencies” job runs that script for pyproject.toml changes. Please add the minimum ddtrace-internal version that contains the APIs ddtrace needs, for example alongside the existing <1.0 cap, so this dependency policy check does not fail and older prereleases cannot satisfy constrained installs.

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[chatgpt-codex-connector]

Use the same ddtrace-internal package in the riot venv

The product metadata added in this commit requires ddtrace-internal, but this riot environment asks pip to install a different distribution, datadog-internal. When riot run internal builds this venv, pip resolves pkgs literally, so this extra package does not pin or exercise the dependency that was added and can fail venv creation if datadog-internal is unavailable; please use ddtrace-internal here.

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[KowalskiThomas]

General question about this: I remember hearing/reading that there was a maximum size we needed not to go over for serverless to be happy with ddtrace as a dependency. If we add ddtrace-internal as a dependency, are we not potentially making the layer with ddtrace in it bigger because of duplication (I'm mainly concerned about any native dependencies ddtrace-internal would have that "normal" ddtrace would also have).

(I don't have a solution, I just wanted to raise the question 😅)