Hacktoberfest 2026: as issues que os mantenedores marcaram para outubro, abertas e boas para iniciantes. Ver issues do Hacktoberfest

Drain subprocess pipes while probing interpreters and standardize probe deadlines

Aberta
#530 3 comentários 0 reações 0 responsáveis Ver no GitHub

Ninguém assumiu esta issue ainda.

Avaliação

Dificuldade
5/5
Tempo estimado
Mais de uma semana
Facilidade para iniciantes
32/100
Tipo de issue
Funcionalidade
Clareza
Razoavelmente clara
Status de atividade
Ativa
Stack de tecnologia
rust
Domínio
testing-qa, tooling

Direção de pesquisa

Start by reading crates/pet-python-utils/src/env.rs, crates/pet-conda/src/conda_info.rs, and crates/pet-poetry/src/environment_locations_spawn.rs to compare the existing probe and subprocess paths. Run the relevant test suite, then verify the shared runner against the listed pipe, timeout, cleanup, output, and Windows/Unix acceptance cases without regressing interpreter discovery or benchmark behavior.

Escrita pelo modelo de indexação a partir do texto da issue.

Descrição

bug

Tracking plan: #528
Priority: P1. Evidence: pipe backpressure reproduced; other runner gaps confirmed by source inspection.

Problem and evidence

The interpreter probe pipes stdout/stderr, polls for child exit, and only then calls wait_with_output. A child that fills a pipe cannot exit until PET drains it, so a healthy interpreter is killed by the timeout.

A temporary Python startup fixture writing 128 KiB to stderr exited successfully in 217 ms when its output was drained normally. Resolving the same interpreter through PET took 15,111 ms and returned a timeout error. These are Windows debug-build diagnostic measurements, not release budgets.

Sources: interpreter probe, Conda subprocess, Poetry subprocess.

The interpreter deadline currently starts after process creation. Conda/Poetry blocking output calls do not share equivalent timeout/cleanup semantics. Do not claim that a deadline bounds a synchronous OS process-creation call unless the implementation actually does so.

Scope

Introduce the smallest reusable process runner needed for interpreter and manager probes: concurrent pipe draining, bounded retained output, explicit exit/parse/I/O errors, deadlines, and child cleanup. Preserve the file-first discovery policy and do not add new spawn fallbacks. Define behavior for descendants retaining pipe handles and for capture-limit exhaustion; do not silently truncate valid protocol data into success.

The non-UTF-8 panic already belongs to #525 / #526. Reuse that fix rather than duplicating it, and retain its regression tests while changing the runner.

Acceptance criteria

  • A healthy fixture emitting more than pipe capacity on stdout and/or stderr completes without waiting for the 15-second timeout.
  • Hanging child, malformed output, nonzero exit, invalid UTF-8, and output-limit cases return explicit outcomes without panic or abandoned RPCs.
  • Timeout/cleanup behavior has Windows and Unix tests, including an inherited-pipe case; tests clean up every process they create.
  • Conda and Poetry probe call sites use the established deadline/error contract, with no unbounded output wait hidden behind an RPC.
  • Captured memory stays within a documented limit while pipes continue to be drained or the child is terminated deliberately.
  • Quiet successful interpreter probes preserve existing environment output and do not regress the relevant release benchmark budgets.

Dependencies

Coordinate implementation after #525 / #526 because both touch interpreter-output handling. Bounded request scheduling and sharing failed in-flight probes are separate follow-up work in #539. Reuse this runner from the #533 workload harness; the complete plan is #528.

Linguagem predominante
Rust
Estrelas
207
Forks
45
Merge médio
3d 6h
PRs com merge (30d)
12

Guia de contribuição

Nenhum guia de contribuição indexado para este repositório

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Mais de microsoft/python-environment-tools

Todas as issues de microsoft/python-environment-tools

Issues semelhantes

Mais issues de Rust

Receba novas issues na sua caixa de entrada

Um resumo curto de issues do GitHub para quem está começando.