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https://gitee.com/wanwujie/deer-flow
synced 2026-04-28 08:14:48 +08:00
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 - **App** (`app/`): unpublished application code with import prefix `app.*`.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on startup When config.example.yaml schema changes, developers' local config.yaml files can silently become outdated.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>
This commit is contained in:
DanielWalnut
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"""Middleware to inject uploaded files information into agent context."""
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import logging
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from pathlib import Path
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from typing import NotRequired, override
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from langchain.agents import AgentState
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from langchain.agents.middleware import AgentMiddleware
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from langchain_core.messages import HumanMessage
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from langgraph.runtime import Runtime
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from deerflow.config.paths import Paths, get_paths
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logger = logging.getLogger(__name__)
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class UploadsMiddlewareState(AgentState):
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"""State schema for uploads middleware."""
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uploaded_files: NotRequired[list[dict] | None]
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class UploadsMiddleware(AgentMiddleware[UploadsMiddlewareState]):
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"""Middleware to inject uploaded files information into the agent context.
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Reads file metadata from the current message's additional_kwargs.files
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(set by the frontend after upload) and prepends an <uploaded_files> block
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to the last human message so the model knows which files are available.
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"""
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state_schema = UploadsMiddlewareState
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def __init__(self, base_dir: str | None = None):
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"""Initialize the middleware.
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Args:
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base_dir: Base directory for thread data. Defaults to Paths resolution.
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"""
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super().__init__()
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self._paths = Paths(base_dir) if base_dir else get_paths()
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def _create_files_message(self, new_files: list[dict], historical_files: list[dict]) -> str:
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"""Create a formatted message listing uploaded files.
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Args:
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new_files: Files uploaded in the current message.
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historical_files: Files uploaded in previous messages.
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Returns:
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Formatted string inside <uploaded_files> tags.
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"""
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lines = ["<uploaded_files>"]
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lines.append("The following files were uploaded in this message:")
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lines.append("")
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if new_files:
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for file in new_files:
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size_kb = file["size"] / 1024
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size_str = f"{size_kb:.1f} KB" if size_kb < 1024 else f"{size_kb / 1024:.1f} MB"
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lines.append(f"- {file['filename']} ({size_str})")
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lines.append(f" Path: {file['path']}")
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lines.append("")
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else:
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lines.append("(empty)")
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if historical_files:
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lines.append("The following files were uploaded in previous messages and are still available:")
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lines.append("")
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for file in historical_files:
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size_kb = file["size"] / 1024
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size_str = f"{size_kb:.1f} KB" if size_kb < 1024 else f"{size_kb / 1024:.1f} MB"
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lines.append(f"- {file['filename']} ({size_str})")
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lines.append(f" Path: {file['path']}")
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lines.append("")
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lines.append("You can read these files using the `read_file` tool with the paths shown above.")
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lines.append("</uploaded_files>")
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return "\n".join(lines)
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def _files_from_kwargs(self, message: HumanMessage, uploads_dir: Path | None = None) -> list[dict] | None:
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"""Extract file info from message additional_kwargs.files.
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The frontend sends uploaded file metadata in additional_kwargs.files
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after a successful upload. Each entry has: filename, size (bytes),
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path (virtual path), status.
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Args:
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message: The human message to inspect.
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uploads_dir: Physical uploads directory used to verify file existence.
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When provided, entries whose files no longer exist are skipped.
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Returns:
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List of file dicts with virtual paths, or None if the field is absent or empty.
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"""
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kwargs_files = (message.additional_kwargs or {}).get("files")
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if not isinstance(kwargs_files, list) or not kwargs_files:
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return None
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files = []
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for f in kwargs_files:
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if not isinstance(f, dict):
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continue
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filename = f.get("filename") or ""
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if not filename or Path(filename).name != filename:
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continue
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if uploads_dir is not None and not (uploads_dir / filename).is_file():
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continue
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files.append(
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{
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"filename": filename,
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"size": int(f.get("size") or 0),
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"path": f"/mnt/user-data/uploads/{filename}",
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"extension": Path(filename).suffix,
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}
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)
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return files if files else None
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@override
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def before_agent(self, state: UploadsMiddlewareState, runtime: Runtime) -> dict | None:
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"""Inject uploaded files information before agent execution.
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New files come from the current message's additional_kwargs.files.
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Historical files are scanned from the thread's uploads directory,
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excluding the new ones.
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Prepends <uploaded_files> context to the last human message content.
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The original additional_kwargs (including files metadata) is preserved
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on the updated message so the frontend can read it from the stream.
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Args:
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state: Current agent state.
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runtime: Runtime context containing thread_id.
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Returns:
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State updates including uploaded files list.
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"""
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messages = list(state.get("messages", []))
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if not messages:
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return None
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last_message_index = len(messages) - 1
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last_message = messages[last_message_index]
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if not isinstance(last_message, HumanMessage):
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return None
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# Resolve uploads directory for existence checks
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thread_id = runtime.context.get("thread_id")
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uploads_dir = self._paths.sandbox_uploads_dir(thread_id) if thread_id else None
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# Get newly uploaded files from the current message's additional_kwargs.files
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new_files = self._files_from_kwargs(last_message, uploads_dir) or []
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# Collect historical files from the uploads directory (all except the new ones)
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new_filenames = {f["filename"] for f in new_files}
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historical_files: list[dict] = []
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if uploads_dir and uploads_dir.exists():
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for file_path in sorted(uploads_dir.iterdir()):
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if file_path.is_file() and file_path.name not in new_filenames:
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stat = file_path.stat()
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historical_files.append(
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{
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"filename": file_path.name,
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"size": stat.st_size,
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"path": f"/mnt/user-data/uploads/{file_path.name}",
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"extension": file_path.suffix,
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}
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)
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if not new_files and not historical_files:
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return None
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logger.debug(f"New files: {[f['filename'] for f in new_files]}, historical: {[f['filename'] for f in historical_files]}")
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# Create files message and prepend to the last human message content
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files_message = self._create_files_message(new_files, historical_files)
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# Extract original content - handle both string and list formats
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original_content = ""
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if isinstance(last_message.content, str):
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original_content = last_message.content
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elif isinstance(last_message.content, list):
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text_parts = []
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for block in last_message.content:
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if isinstance(block, dict) and block.get("type") == "text":
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text_parts.append(block.get("text", ""))
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original_content = "\n".join(text_parts)
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# Create new message with combined content.
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# Preserve additional_kwargs (including files metadata) so the frontend
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# can read structured file info from the streamed message.
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updated_message = HumanMessage(
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content=f"{files_message}\n\n{original_content}",
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id=last_message.id,
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additional_kwargs=last_message.additional_kwargs,
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)
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messages[last_message_index] = updated_message
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return {
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"uploaded_files": new_files,
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"messages": messages,
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}
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