chore(auto-inject): add package instrumentation skipping and denylist

[ZStriker19]

Currently the python tracer will abort instrumentation entirely if a package that's outside of the supported range is detected. Instead it should follow the behavior of other tracers and simply skip instrumenting that particular package, and then instrument the rest of the supported packages.

In addition, the Python tracer should skip instrumentation if uwsgi is detected since it's only compatible with uwsgi under specific conditions: https://ddtrace.readthedocs.io/en/stable/advanced_usage.html?highlight=uwsgi#uwsgi

Checklist

• Change(s) are motivated and described in the PR description
• Testing strategy is described if automated tests are not included in the PR
• Risks are described (performance impact, potential for breakage, maintainability)
• Change is maintainable (easy to change, telemetry, documentation)
• Library release note guidelines are followed or label changelog/no-changelog is set
• Documentation is included (in-code, generated user docs, public corp docs)
• Backport labels are set (if applicable)
• If this PR changes the public interface, I've notified @DataDog/apm-tees.

Reviewer Checklist

• Title is accurate
• All changes are related to the pull request's stated goal
• Description motivates each change
• Avoids breaking API changes
• Testing strategy adequately addresses listed risks
• Change is maintainable (easy to change, telemetry, documentation)
• Release note makes sense to a user of the library
• 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

[datadog-dd-trace-py-rkomorn]

Datadog Report

Branch report: zachg/fix_lib_injection_integration_bailing_and_add_default_path
Commit report: f6ecccd
Test service: dd-trace-py

✅ 0 Failed, 8459 Passed, 14412 Skipped, 1h 58m 14.07s Total duration (6.17s time saved)

[pr-commenter]

Benchmarks

Benchmark execution time: 2024-11-08 20:25:29

Comparing candidate commit cf4069d in PR branch zachg/fix_lib_injection_integration_bailing_and_add_default_path with baseline commit 6272798 in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 387 metrics, 2 unstable metrics.

scenario:iast_aspects-replace_aspect

• 🟩 execution_time [-638.573ns; -564.497ns] or [-8.840%; -7.815%]

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 10.54%. Comparing base (9cce458) to head (3686896).
Report is 4 commits behind head on main.

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #9685       +/-   ##
===========================================
- Coverage   73.93%   10.54%   -63.39%     
===========================================
  Files        1402     1368       -34     
  Lines      130420   127984     -2436     
===========================================
- Hits        96426    13502    -82924     
- Misses      33994   114482    +80488     

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[github-actions]

CODEOWNERS have been resolved as:

lib-injection/sources/sitecustomize.py                                  @DataDog/apm-core-python

[datadog-datadog-prod-us1]

🟠 Code Quality Violation

use f-string or .format to format strings (...read more)

Concatenation of multiple strings is not efficient and make the code hard to read and understand.

Instead of concatenating multiple strings, use an f-string or a format string.

Learn More

• Python Documentation: str.format()
• Python Documentation - f-string

    

[datadog-datadog-prod-us1]

🟠 Code Quality Violation

use f-string or .format to format strings (...read more)

Concatenation of multiple strings is not efficient and make the code hard to read and understand.

Instead of concatenating multiple strings, use an f-string or a format string.

Learn More

• Python Documentation: str.format()
• Python Documentation - f-string

    

[datadog-datadog-prod-us1]

🟠 Code Quality Violation

use f-string or .format to format strings (...read more)

Concatenation of multiple strings is not efficient and make the code hard to read and understand.

Instead of concatenating multiple strings, use an f-string or a format string.

Learn More

• Python Documentation: str.format()
• Python Documentation - f-string