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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 - **App** (`app/`): unpublished application code with import prefix `app.*`.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on startup When config.example.yaml schema changes, developers' local config.yaml files can silently become outdated.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>
61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
from collections.abc import Callable
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from pathlib import Path
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from typing import cast
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from deerflow.skills.validation import _validate_skill_frontmatter
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VALIDATE_SKILL_FRONTMATTER = cast(
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Callable[[Path], tuple[bool, str, str | None]],
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_validate_skill_frontmatter,
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)
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def _write_skill(skill_dir: Path, frontmatter: str) -> None:
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skill_dir.mkdir(parents=True, exist_ok=True)
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(skill_dir / "SKILL.md").write_text(frontmatter, encoding="utf-8")
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def test_validate_skill_frontmatter_allows_standard_optional_metadata(tmp_path: Path) -> None:
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skill_dir = tmp_path / "demo-skill"
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_write_skill(
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skill_dir,
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"""---
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name: demo-skill
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description: Demo skill
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version: 1.0.0
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author: example.com/demo
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compatibility: OpenClaw >= 1.0
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license: MIT
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---
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# Demo Skill
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""",
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)
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valid, message, skill_name = VALIDATE_SKILL_FRONTMATTER(skill_dir)
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assert valid is True
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assert message == "Skill is valid!"
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assert skill_name == "demo-skill"
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def test_validate_skill_frontmatter_still_rejects_unknown_keys(tmp_path: Path) -> None:
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skill_dir = tmp_path / "demo-skill"
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_write_skill(
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skill_dir,
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"""---
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name: demo-skill
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description: Demo skill
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unsupported: true
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---
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# Demo Skill
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""",
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)
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valid, message, skill_name = VALIDATE_SKILL_FRONTMATTER(skill_dir)
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assert valid is False
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assert "unsupported" in message
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assert skill_name is None
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