feat(profiling): builds libdatadog for windows

[taegyunkim]

A necessary step to deprecate/remove python exporter.

Tested manually on windows using the following code, both from compiling from sources and using built-wheel from this branch

import os
import time
from threading import Lock
from threading import Thread


def throw_exception():
    val = os.urandom(1)[0]
    # Throws an exception if a d20 rolls 1
    if val < 4:
        raise Exception("Oof owie ouch my bones")
    elif val < 8:
        return 1 / 0


def factorize_number(number):
    factors = []
    for i in range(1, number + 1):
        if number % i == 0:
            factors.append(i)
    return factors


def thread_task(lock, number):
    for _ in range(1, 50):
        # throw_exception()
        with lock:
            factors = factorize_number(number)
        print(factors)


if __name__ == "__main__":
    shared_lock = Lock()
    numbers = [100001, 499999, 999983]

    while True:
        T = [Thread(target=thread_task, args=(shared_lock, n)) for n in numbers]
        [t.start() for t in T]
        [t.join() for t in T]

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:

releasenotes/notes/profiling-libdd-windows-0e80f0facac09221.yaml        @DataDog/apm-python
ddtrace/internal/datadog/profiling/cmake/AnalysisFunc.cmake             @DataDog/profiling-python
ddtrace/internal/datadog/profiling/cmake/FindLibdatadog.cmake           @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/CMakeLists.txt            @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/ddup_interface.cpp    @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/profile.cpp           @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/sample.cpp            @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/uploader.cpp          @DataDog/profiling-python
ddtrace/internal/datadog/profiling/ddup/CMakeLists.txt                  @DataDog/profiling-python
setup.py                                                                @DataDog/python-guild
tests/smoke_test.py                                                     @DataDog/apm-core-python

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-04-01 14:54:15

Comparing candidate commit 194ea56 in PR branch taegyunkim/prof-11194-windows-libdd with baseline commit 7efd41a in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 498 metrics, 2 unstable metrics.

[datadog-dd-trace-py-rkomorn]

Datadog Report

Branch report: taegyunkim/prof-11194-windows-libdd
Commit report: 96fe424
Test service: dd-trace-py

✅ 0 Failed, 475 Passed, 839 Skipped, 10m 2.3s Total duration (18m 59.71s time saved)

[gleocadie]

LGTM

[erikayasuda]

Just reviewed the smoke test file to unblock the merge. LGTM 👍