Files
deer-flow/backend/packages/harness/deerflow/tools/builtins/view_image_tool.py
DanielWalnut 76803b826f 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- **App** (`app/`): unpublished application code with import prefix `app.*`.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files can silently become outdated.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

95 lines
3.5 KiB
Python

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