fix: remove potential circular import psycopg [backport 3.10]

[dd-octo-sts]

Backport bea1bd2 from #14329 to 3.10.

Signed-off-by: Juanjo Alvarez juanjo.alvarezmartinez@datadoghq.com## 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
  Signed-off-by: Juanjo Alvarez juanjo.alvarezmartinez@datadoghq.comSigned-off-by: Juanjo Alvarez juanjo.alvarezmartinez@datadoghq.comSigned-off-by: Juanjo Alvarez juanjo.alvarezmartinez@datadoghq.comSigned-off-by: Juanjo Alvarez juanjo.alvarezmartinez@datadoghq.com

[github-actions]

CODEOWNERS have been resolved as:

releasenotes/notes/circular-psycopg3-import-c27df66875895fc7.yaml       @DataDog/apm-python
tests/contrib/psycopg2/fixtures/__init__.py                             @DataDog/apm-core-python @DataDog/apm-idm-python
tests/contrib/psycopg2/fixtures/reproduce_psycopg_cyclic_import_error.py  @DataDog/apm-core-python @DataDog/apm-idm-python
.github/workflows/system-tests.yml                                      @DataDog/python-guild @DataDog/apm-core-python
ddtrace/contrib/internal/psycopg/patch.py                               @DataDog/apm-core-python @DataDog/apm-idm-python
tests/contrib/psycopg/test_psycopg_patch.py                             @DataDog/apm-core-python @DataDog/apm-idm-python
tests/contrib/psycopg2/test_psycopg_patch.py                            @DataDog/apm-core-python @DataDog/apm-idm-python

[github-actions]

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 283 ± 4 ms.

The average import time from base is: 287 ± 4 ms.

The import time difference between this PR and base is: -4.7 ± 0.2 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.155 ms (0.76%)

ddtrace.bootstrap.sitecustomize 1.474 ms (0.52%)

ddtrace.bootstrap.preload 1.474 ms (0.52%)

ddtrace.internal.remoteconfig.client 0.701 ms (0.25%)

ddtrace 0.681 ms (0.24%)

ddtrace.internal._unpatched 0.032 ms (0.01%)

json 0.032 ms (0.01%)

json.decoder 0.032 ms (0.01%)

re 0.032 ms (0.01%)

enum 0.032 ms (0.01%)

types 0.032 ms (0.01%)

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-08-19 11:49:37

Comparing candidate commit e458882 in PR branch backport-14329-to-3.10 with baseline commit b4717cc in branch 3.10.

Found 0 performance improvements and 7 performance regressions! Performance is the same for 540 metrics, 3 unstable metrics.

scenario:iastaspectsospath-ospathnormcase_aspect

• 🟥 execution_time [+342.654ns; +497.997ns] or [+9.732%; +14.144%]

scenario:iastaspectsospath-ospathsplitdrive_aspect

• 🟥 execution_time [+587.539ns; +651.717ns] or [+15.942%; +17.684%]

scenario:iastaspectsospath-ospathsplitext_aspect

• 🟥 execution_time [+810.486ns; +880.528ns] or [+17.822%; +19.362%]

scenario:iastaspectssplit-rsplit_aspect

• 🟥 execution_time [+155.518ns; +211.327ns] or [+10.669%; +14.498%]

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

• 🟥 execution_time [+269.303ns; +357.670ns] or [+8.595%; +11.415%]

scenario:telemetryaddmetric-1-gauge-metric-1-times

• 🟥 execution_time [+218.205ns; +283.793ns] or [+10.381%; +13.501%]

scenario:telemetryaddmetric-1-rate-metric-1-times

• 🟥 execution_time [+301.390ns; +376.276ns] or [+9.544%; +11.915%]