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https://gitee.com/wanwujie/deer-flow
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* refactor: extract shared utils to break harness→app cross-layer imports Move _validate_skill_frontmatter to src/skills/validation.py and CONVERTIBLE_EXTENSIONS + convert_file_to_markdown to src/utils/file_conversion.py. This eliminates the two reverse dependencies from client.py (harness layer) into gateway/routers/ (app layer), preparing for the harness/app package split. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: split backend/src into harness (deerflow.*) and app (app.*) Physically split the monolithic backend/src/ package into two layers: - **Harness** (`packages/harness/deerflow/`): publishable agent framework package with import prefix `deerflow.*`. Contains agents, sandbox, tools, models, MCP, skills, config, and all core infrastructure. - **App** (`app/`): unpublished application code with import prefix `app.*`. Contains gateway (FastAPI REST API) and channels (IM integrations). Key changes: - Move 13 harness modules to packages/harness/deerflow/ via git mv - Move gateway + channels to app/ via git mv - Rename all imports: src.* → deerflow.* (harness) / app.* (app layer) - Set up uv workspace with deerflow-harness as workspace member - Update langgraph.json, config.example.yaml, all scripts, Docker files - Add build-system (hatchling) to harness pyproject.toml - Add PYTHONPATH=. to gateway startup commands for app.* resolution - Update ruff.toml with known-first-party for import sorting - Update all documentation to reflect new directory structure Boundary rule enforced: harness code never imports from app. All 429 tests pass. Lint clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: add harness→app boundary check test and update docs Add test_harness_boundary.py that scans all Python files in packages/harness/deerflow/ and fails if any `from app.*` or `import app.*` statement is found. This enforces the architectural rule that the harness layer never depends on the app layer. Update CLAUDE.md to document the harness/app split architecture, import conventions, and the boundary enforcement test. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add config versioning with auto-upgrade on startup When config.example.yaml schema changes, developers' local config.yaml files can silently become outdated. This adds a config_version field and auto-upgrade mechanism so breaking changes (like src.* → deerflow.* renames) are applied automatically before services start. - Add config_version: 1 to config.example.yaml - Add startup version check warning in AppConfig.from_file() - Add scripts/config-upgrade.sh with migration registry for value replacements - Add `make config-upgrade` target - Auto-run config-upgrade in serve.sh and start-daemon.sh before starting services - Add config error hints in service failure messages Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix comments * fix: update src.* import in test_sandbox_tools_security to deerflow.* Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: handle empty config and search parent dirs for config.example.yaml Address Copilot review comments on PR #1131: - Guard against yaml.safe_load() returning None for empty config files - Search parent directories for config.example.yaml instead of only looking next to config.yaml, fixing detection in common setups Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: correct skills root path depth and config_version type coercion - loader.py: fix get_skills_root_path() to use 5 parent levels (was 3) after harness split, file lives at packages/harness/deerflow/skills/ so parent×3 resolved to backend/packages/harness/ instead of backend/ - app_config.py: coerce config_version to int() before comparison in _check_config_version() to prevent TypeError when YAML stores value as string (e.g. config_version: "1") - tests: add regression tests for both fixes Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: update test imports from src.* to deerflow.*/app.* after harness refactor Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
97 lines
2.9 KiB
Python
97 lines
2.9 KiB
Python
from abc import ABC, abstractmethod
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from deerflow.config import get_app_config
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from deerflow.reflection import resolve_class
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from deerflow.sandbox.sandbox import Sandbox
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class SandboxProvider(ABC):
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"""Abstract base class for sandbox providers"""
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@abstractmethod
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def acquire(self, thread_id: str | None = None) -> str:
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"""Acquire a sandbox environment and return its ID.
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Returns:
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The ID of the acquired sandbox environment.
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"""
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pass
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@abstractmethod
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def get(self, sandbox_id: str) -> Sandbox | None:
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"""Get a sandbox environment by ID.
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Args:
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sandbox_id: The ID of the sandbox environment to retain.
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"""
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pass
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@abstractmethod
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def release(self, sandbox_id: str) -> None:
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"""Release a sandbox environment.
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Args:
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sandbox_id: The ID of the sandbox environment to destroy.
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"""
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pass
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_default_sandbox_provider: SandboxProvider | None = None
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def get_sandbox_provider(**kwargs) -> SandboxProvider:
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"""Get the sandbox provider singleton.
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Returns a cached singleton instance. Use `reset_sandbox_provider()` to clear
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the cache, or `shutdown_sandbox_provider()` to properly shutdown and clear.
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Returns:
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A sandbox provider instance.
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"""
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global _default_sandbox_provider
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if _default_sandbox_provider is None:
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config = get_app_config()
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cls = resolve_class(config.sandbox.use, SandboxProvider)
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_default_sandbox_provider = cls(**kwargs)
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return _default_sandbox_provider
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def reset_sandbox_provider() -> None:
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"""Reset the sandbox provider singleton.
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This clears the cached instance without calling shutdown.
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The next call to `get_sandbox_provider()` will create a new instance.
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Useful for testing or when switching configurations.
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Note: If the provider has active sandboxes, they will be orphaned.
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Use `shutdown_sandbox_provider()` for proper cleanup.
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"""
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global _default_sandbox_provider
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_default_sandbox_provider = None
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def shutdown_sandbox_provider() -> None:
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"""Shutdown and reset the sandbox provider.
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This properly shuts down the provider (releasing all sandboxes)
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before clearing the singleton. Call this when the application
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is shutting down or when you need to completely reset the sandbox system.
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"""
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global _default_sandbox_provider
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if _default_sandbox_provider is not None:
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if hasattr(_default_sandbox_provider, "shutdown"):
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_default_sandbox_provider.shutdown()
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_default_sandbox_provider = None
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def set_sandbox_provider(provider: SandboxProvider) -> None:
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"""Set a custom sandbox provider instance.
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This allows injecting a custom or mock provider for testing purposes.
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Args:
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provider: The SandboxProvider instance to use.
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"""
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global _default_sandbox_provider
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_default_sandbox_provider = provider
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