chore(sampling): removes programatic api

[mabdinur]

Ensures sampling can only be configured via envars and remote config

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/_trace/sampler.py                                               @DataDog/apm-sdk-api-python
ddtrace/_trace/sampling_rule.py                                         @DataDog/apm-sdk-api-python
releasenotes/notes/internalize-samplers-b4f014f680f872f9.yaml           @DataDog/apm-python
ddtrace/_trace/processor/__init__.py                                    @DataDog/apm-sdk-api-python
ddtrace/_trace/tracer.py                                                @DataDog/apm-sdk-api-python
ddtrace/appsec/_iast/_overhead_control_engine.py                        @DataDog/asm-python
ddtrace/internal/debug.py                                               @DataDog/apm-core-python
ddtrace/internal/sampling.py                                            @DataDog/apm-sdk-api-python
ddtrace/llmobs/_evaluators/sampler.py                                   @DataDog/ml-observability
ddtrace/llmobs/_integrations/base.py                                    @DataDog/ml-observability
ddtrace/sampler.py                                                      @DataDog/apm-sdk-api-python
ddtrace/sampling_rule.py                                                @DataDog/apm-sdk-api-python
tests/contrib/aiohttp/test_middleware.py                                @DataDog/apm-core-python @DataDog/apm-idm-python
tests/integration/test_debug.py                                         @DataDog/apm-core-python
tests/integration/test_sampling.py                                      @DataDog/apm-core-python
tests/integration/test_trace_stats.py                                   @DataDog/apm-core-python
tests/internal/remoteconfig/test_remoteconfig.py                        @DataDog/remote-config @DataDog/apm-core-python
tests/internal/test_settings.py                                         @DataDog/apm-core-python
tests/tracer/test_processors.py                                         @DataDog/apm-sdk-api-python
tests/tracer/test_sampler.py                                            @DataDog/apm-sdk-api-python

[datadog-datadog-prod-us1]

⚪ Code Quality Violation

use isintance() instead of type() (...read more)

Using isinstance is faster than type but also consider inheritance, which makes it more accurate.

    

[datadog-datadog-prod-us1]

🟠 Code Quality Violation

do not use Any, use a concrete type (...read more)

Use the Any type very carefully. Most of the time, the Any type is used because we do not know exactly what type is being used. If you want to specify that a value can be of any type, use object instead of Any.

Learn More

• Python documentation: the Any type

    

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-01-09 20:40:26

Comparing candidate commit 3b37c66 in PR branch munir/deprecate-samplers with baseline commit 35fe7b5 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 394 metrics, 2 unstable metrics.