51 lines
2.6 KiB
Markdown
51 lines
2.6 KiB
Markdown
# shellous — Async Processes and Pipelines
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## Metadata
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| Field | Value |
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| Institute | Molodetz Institute — Research & Retrieval Division |
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| Subject | async-pty-process-testing |
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| Document type | Source Dossier |
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| Tier | 1 |
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| Source title | shellous: Async Processes and Pipelines |
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| Source URL | https://pypi.org/project/shellous |
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| Source publisher / author | shellous project (PyPI) |
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| Source type | repository |
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| Source date (published) | Unknown — not stated |
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| Date researched | 2026-10-09 |
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| Researched by | tai (agent), model: Claude Sonnet 5, on behalf of retoor |
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| Research method | web search synthesis |
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| Confidence | Medium |
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| Status | Active |
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## Summary
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shellous is an asyncio-native subprocess library. Its feature list includes running a program attached to a pseudo-terminal (pty, Unix-only) and `send()`/`expect()` methods for interactively driving a subprocess by pattern-matching its output — functionally the closest existing library to what `tai_test.py` ended up building itself.
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## Key findings
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- shellous explicitly supports pty-backed subprocess execution, and documents that this is Unix-only.
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- It offers `send()`/`expect()` primitives, i.e. "write input, then wait for a pattern in the output" — the same shape as `tai_test.py`'s `ManagedProcess.send_line()` + `wait_for_pattern()`.
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- It is built on asyncio, unlike pexpect (see `pypi-pexpect.md`), which is synchronous.
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## Pros / strengths
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- Proof that the exact combination `tai_test.py` needed — asyncio-native, pty-capable, expect-style interaction — is a real, previously-solved design space, not a one-off idea.
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- Having `send()`/`expect()` as named primitives validates `tai_test.py`'s own `send_line()`/`wait_for_pattern()` naming and shape.
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## Cons / limitations / caveats
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- Only the top-level feature list was reviewed, not the actual implementation or its API stability/maturity; no version number, changelog, or usage examples were independently inspected.
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- `tai_test.py` did not adopt shellous as a dependency — it is pure stdlib (`pty`, `asyncio`) by design, consistent with the `tai.py` project's own zero-dependency rule, so this source served as validation of the approach rather than as a library to use.
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## Relevance to tai
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Confirmed that building a pty-capable, asyncio-native, expect-style subprocess controller is a well-trodden pattern, which gave confidence in `tai_test.py`'s own from-scratch implementation (`ManagedProcess`) rather than needing to invent an unprecedented design.
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## Changelog
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| Date | Change |
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| 2026-10-09 | Initial dossier created. |
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