70a22fa210
test / run tests/run_tests.py (pull_request) Successful in 21s
Across the package: - claude_bottle/platform/ -> claude_bottle/backend/ - platform/docker/platform.py -> backend/docker/backend.py - class BottlePlatform -> BottleBackend - class DockerBottlePlatform -> DockerBottleBackend - get_bottle_platform() -> get_bottle_backend() - env var CLAUDE_BOTTLE_PLATFORM -> CLAUDE_BOTTLE_BACKEND - dict _PLATFORMS -> _BACKENDS "Backend" is shorter and more established as the term for a pluggable strategy-pattern implementation. "Platform" was vague (could mean OS, hardware, cloud) and mildly redundant — Docker is itself a platform. The previous PRD section claiming "the Backend protocol was rejected" referred to a low-level run/exec/cp/network_connect protocol; the name was never the reason. The PRD is updated to describe that rejected design by shape rather than by name. The bottle/agent concepts and the manifest schema are unchanged.
168 lines
5.2 KiB
Python
168 lines
5.2 KiB
Python
"""Per-backend bottle factories.
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A bottle is a running, isolated environment with claude inside. Each
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backend exposes five methods:
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prepare(spec, stage_dir=...) -> BottlePlan
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Resolves names, validates host-side prerequisites, and writes
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scratch files. No remote/runtime resources are created yet.
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Safe to call before the y/N preflight.
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launch(plan) -> ContextManager[Bottle]
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Brings up the container (or VM, or remote machine), provisions
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it, yields a Bottle handle, and tears everything down on exit.
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prepare_cleanup() -> BottleCleanupPlan
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Enumerates orphaned resources left behind by previous bottles
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(containers, networks, ...). Idempotent; no side effects.
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cleanup(plan) -> None
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Actually removes everything described by the cleanup plan.
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list_active() -> None
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Print every currently-running bottle on this backend to stderr.
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Selection is driven by CLAUDE_BOTTLE_BACKEND (default "docker"). Per
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PRD 0003 the manifest does not carry a backend field; the host
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environment picks.
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"""
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from __future__ import annotations
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import os
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from abc import ABC, abstractmethod
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from contextlib import AbstractContextManager
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from dataclasses import dataclass
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from pathlib import Path
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from ..log import die
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from ..manifest import Manifest
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@dataclass(frozen=True)
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class BottleSpec:
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"""CLI-supplied intent. Backend-agnostic — each backend's prepare
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step consumes it and produces its own backend-specific plan.
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Resolved values (image names, container name, scratch paths, runsc
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availability) live on the plan, not the spec."""
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manifest: Manifest
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agent_name: str
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copy_cwd: bool
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user_cwd: str
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forward_oauth_token: bool
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@dataclass(frozen=True)
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class BottlePlan(ABC):
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"""Base output of a backend's prepare step. Concrete subclasses
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(e.g. DockerBottlePlan) add backend-specific resolved fields and
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implement `print`."""
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spec: BottleSpec
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stage_dir: Path
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@abstractmethod
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def print(self, *, remote_control: bool) -> None:
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"""Render the y/N preflight summary to stderr."""
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@dataclass(frozen=True)
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class BottleCleanupPlan(ABC):
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"""Base output of a backend's prepare_cleanup step. Concrete
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subclasses (e.g. DockerBottleCleanupPlan) carry backend-specific
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lists of resources to be removed and implement `print` + `empty`."""
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@abstractmethod
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def print(self) -> None:
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"""Render the cleanup y/N summary to stderr."""
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@property
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@abstractmethod
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def empty(self) -> bool:
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"""True iff there is nothing to clean up; the CLI uses this to
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short-circuit before showing the y/N."""
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class Bottle(ABC):
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"""Handle to a running bottle. Yielded by a backend's launch step.
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`exec_claude` runs `claude` inside the bottle and blocks until the
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session ends. `cp_in` copies a host path into the bottle. `close`
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is an idempotent alias for context-manager teardown.
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"""
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name: str
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@abstractmethod
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def exec_claude(self, argv: list[str], *, tty: bool = True) -> int: ...
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@abstractmethod
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def cp_in(self, host_path: str, container_path: str) -> None: ...
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@abstractmethod
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def close(self) -> None: ...
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class BottleBackend(ABC):
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"""Abstract base for selectable bottle backends. Concrete subclasses
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(e.g. DockerBottleBackend) own their own prepare/launch impls.
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Symmetric with the BottlePlan → DockerBottlePlan hierarchy."""
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name: str
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@abstractmethod
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def prepare(self, spec: BottleSpec, *, stage_dir: Path) -> BottlePlan:
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"""Resolve names, validate host-side prerequisites, write
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scratch files. No remote/runtime resources created yet."""
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@abstractmethod
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def launch(self, plan: BottlePlan) -> AbstractContextManager[Bottle]:
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"""Build/run the bottle and yield a handle; tear down on exit."""
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@abstractmethod
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def prepare_cleanup(self) -> BottleCleanupPlan:
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"""Enumerate orphaned resources from previous bottles. No side
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effects; safe to call before the y/N."""
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@abstractmethod
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def cleanup(self, plan: BottleCleanupPlan) -> None:
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"""Remove everything described by the cleanup plan."""
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@abstractmethod
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def list_active(self) -> None:
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"""Print every currently-running bottle on this backend to
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stderr (name + status)."""
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# Import concrete backend classes AFTER the base types are defined, so
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# each backend module can pull BottleSpec / BottlePlan / BottleBackend
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# via `from . import ...` without hitting a partially-initialized module.
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from .docker import DockerBottleBackend # noqa: E402
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_BACKENDS: dict[str, BottleBackend] = {
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"docker": DockerBottleBackend(),
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}
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def get_bottle_backend() -> BottleBackend:
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"""Resolve the bottle backend for the active environment. Dies with
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a pointer at the known backends if CLAUDE_BOTTLE_BACKEND names an
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unimplemented one."""
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name = os.environ.get("CLAUDE_BOTTLE_BACKEND", "docker")
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if name not in _BACKENDS:
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known = ", ".join(sorted(_BACKENDS))
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die(f"unknown CLAUDE_BOTTLE_BACKEND={name!r}; known backends: {known}")
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return _BACKENDS[name]
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__all__ = [
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"Bottle",
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"BottleBackend",
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"BottleCleanupPlan",
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"BottlePlan",
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"BottleSpec",
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"get_bottle_backend",
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]
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