Files
privateGPT/private_gpt/components/container_registry.py
Javier Martinez f2cffd1ab9 feat: code execution v2 (#2278)
* fix: ensure that the publisher is ready to publish new messages

* fix: dockerfile

* fix: clones

(cherry picked from commit bc0a77e050)

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* feat: M3 persistent sessions + M4 isolated bash + OpenSandbox provider

Introduces mount-aware sessions with canonical path abstraction:
- ContentBundle / SessionMount abstraction for skill/plugin mounting
- PathTranslator: rewrites commands and scrubs output (canonical ↔ real paths)
- LocalMount + ReadOnlyMount: local FS-backed mounts; read-only cache shared across sessions
- BashExecutor: asyncio subprocess with setsid + setrlimit isolation + killpg on timeout
- SkillLoader: downloads skill files from object storage as ContentBundles
- LocalCodeExecutionProvider: rewritten to use mounts, TTL reaper, BashExecutor
- OpenSandboxCodeExecutionProvider: new Docker/K8s backend via opensandbox SDK
- Async cascade: create_session / get_or_create_session / build_tool all async
- ObjectStorage.list_files() added to ABC + both implementations
- New settings: session_ttl_seconds, bash rlimit fields, OpenSandboxSettings

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* refactor: generic ContentBundle with BundledFile, remove skill_filter from code_execution layer

- Replace ContentBundle/dataclass with pydantic BaseModel; add BundledFile with path, content, permissions
- Update ReadOnlyMount to use list[BundledFile] with per-file chmod
- Remove skill_filter and SkillLoader from create_session() in base, local, and code_execution_component
- Move skill-to-bundle resolution into BashToolBuilder (inject SkillLoader there)
- Update SkillLoader.load() to return list[BundledFile] objects

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix: remove opensandbox

* feat: use sandbox inside of code executor

* fix: mypy

* feat: add workspace manager

* feat: improvements

* feat: add env abstraction

* feat: remove leftovers

* feat: improve skill content

* fix: macos

* fix: mypy

* feat: add code executor prompt

* feat: add content bundle in stack

* fix: mypy

* fix: layout

* feat: add skill prompt

* fix: order

* feat: allow to present final files

* feat: add container block

* fix: remove default config

* fix: session pers

* fix: do lazy env

* fix: mounter

* feat: refactor mounter

* fix: container

* feat: add requirements

* fix: add container registry

* fix: move to be lazy

* fix: mypy

* fix: current folder

* fix: stop sandbox in tabular

* fi: ensure to use absolute paths in bash & text editor

* feat: add files router

* feat: simplify

* feat: update present files

* fix: download files

* fix: mypy

* fix: tests

* fix: tests

* fix: bash executor in linux

* Revert "fix: bash executor in linux"

This reverts commit 483e208a96.

* Revert "fix: tests"

This reverts commit 50d9288f5e.

* test: remove test in ci

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Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-29 18:29:29 +02:00

26 lines
817 B
Python

from __future__ import annotations
from injector import singleton
@singleton
class ContainerRegistry:
"""Track active persistent container sessions across subsystems.
Any component that promotes a persistent sandbox session registers here.
The chat loop queries this registry to emit a Container handle to the
client without knowing which subsystem owns the session.
"""
def __init__(self) -> None:
self._sessions: dict[str, int] = {} # session_id → ttl_seconds
def register(self, session_id: str, ttl_seconds: int) -> None:
self._sessions[session_id] = ttl_seconds
def unregister(self, session_id: str) -> None:
self._sessions.pop(session_id, None)
def get_ttl(self, session_id: str) -> int | None:
return self._sessions.get(session_id)