2026-01-29 13:44:04 +08:00
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import base64
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import mimetypes
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from pathlib import Path
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from typing import Annotated
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from langchain.tools import InjectedToolCallId, ToolRuntime, tool
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from langchain_core.messages import ToolMessage
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from langgraph.types import Command
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from langgraph.typing import ContextT
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refactor: split backend into harness (deerflow.*) and app (app.*) (#1131)
* 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- **App** (`app/`): unpublished application code with import prefix `app.*`.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>
2026-03-14 22:55:52 +08:00
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from deerflow.agents.thread_state import ThreadState
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from deerflow.sandbox.tools import get_thread_data, replace_virtual_path
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2026-01-29 13:44:04 +08:00
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@tool("view_image", parse_docstring=True)
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def view_image_tool(
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runtime: ToolRuntime[ContextT, ThreadState],
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image_path: str,
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tool_call_id: Annotated[str, InjectedToolCallId],
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) -> Command:
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"""Read an image file.
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Use this tool to read an image file and make it available for display.
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When to use the view_image tool:
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- When you need to view an image file.
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When NOT to use the view_image tool:
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- For non-image files (use present_files instead)
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- For multiple files at once (use present_files instead)
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Args:
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image_path: Absolute path to the image file. Common formats supported: jpg, jpeg, png, webp.
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"""
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# Replace virtual path with actual path
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# /mnt/user-data/* paths are mapped to thread-specific directories
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thread_data = get_thread_data(runtime)
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actual_path = replace_virtual_path(image_path, thread_data)
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# Validate that the path is absolute
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path = Path(actual_path)
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if not path.is_absolute():
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return Command(
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update={"messages": [ToolMessage(f"Error: Path must be absolute, got: {image_path}", tool_call_id=tool_call_id)]},
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)
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# Validate that the file exists
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if not path.exists():
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return Command(
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update={"messages": [ToolMessage(f"Error: Image file not found: {image_path}", tool_call_id=tool_call_id)]},
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)
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# Validate that it's a file (not a directory)
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if not path.is_file():
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return Command(
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update={"messages": [ToolMessage(f"Error: Path is not a file: {image_path}", tool_call_id=tool_call_id)]},
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)
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# Validate image extension
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valid_extensions = {".jpg", ".jpeg", ".png", ".webp"}
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if path.suffix.lower() not in valid_extensions:
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return Command(
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update={"messages": [ToolMessage(f"Error: Unsupported image format: {path.suffix}. Supported formats: {', '.join(valid_extensions)}", tool_call_id=tool_call_id)]},
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)
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# Detect MIME type from file extension
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mime_type, _ = mimetypes.guess_type(actual_path)
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if mime_type is None:
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# Fallback to default MIME types for common image formats
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extension_to_mime = {
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".jpg": "image/jpeg",
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".jpeg": "image/jpeg",
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".png": "image/png",
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".webp": "image/webp",
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}
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mime_type = extension_to_mime.get(path.suffix.lower(), "application/octet-stream")
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# Read image file and convert to base64
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try:
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with open(actual_path, "rb") as f:
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image_data = f.read()
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image_base64 = base64.b64encode(image_data).decode("utf-8")
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except Exception as e:
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return Command(
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update={"messages": [ToolMessage(f"Error reading image file: {str(e)}", tool_call_id=tool_call_id)]},
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)
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# Update viewed_images in state
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# The merge_viewed_images reducer will handle merging with existing images
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new_viewed_images = {image_path: {"base64": image_base64, "mime_type": mime_type}}
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return Command(
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update={"viewed_images": new_viewed_images, "messages": [ToolMessage("Successfully read image", tool_call_id=tool_call_id)]},
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)
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