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chore: remove unused private helper functions (dead code) (#3749)
These three module-private helpers have no callers anywhere in the repo (verified by a repo-wide identifier scan + direct greps; each appears only at its own definition): - agents/memory/updater.py: _create_empty_memory (a no-caller wrapper around storage.create_empty_memory, which is used directly elsewhere) - runtime/runs/worker.py: _extract_human_message (also drops the now-unused HumanMessage TYPE_CHECKING import and TYPE_CHECKING from typing) - sandbox/tools.py: _looks_like_unsafe_cwd_target (cwd safety is enforced via _is_allowed_local_bash_absolute_path) Underscore-prefixed = module-internal, so zero references is conclusive. Route handlers and @compiles-registered functions were excluded as false positives. Public-surface candidates are noted in the issue, not touched here. Fixes #3748.
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@ -38,11 +38,6 @@ _SYNC_MEMORY_UPDATER_EXECUTOR = concurrent.futures.ThreadPoolExecutor(
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atexit.register(lambda: _SYNC_MEMORY_UPDATER_EXECUTOR.shutdown(wait=False))
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def _create_empty_memory() -> dict[str, Any]:
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"""Backward-compatible wrapper around the storage-layer empty-memory factory."""
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return create_empty_memory()
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def _save_memory_to_file(memory_data: dict[str, Any], agent_name: str | None = None, *, user_id: str | None = None) -> bool:
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"""Backward-compatible wrapper around the configured memory storage save path."""
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return get_memory_storage().save(memory_data, agent_name, user_id=user_id)
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@ -22,13 +22,10 @@ import logging
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import os
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from dataclasses import dataclass, field
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from functools import lru_cache
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from typing import TYPE_CHECKING, Any, Literal, cast
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from typing import Any, Literal, cast
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from langgraph.checkpoint.base import empty_checkpoint
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if TYPE_CHECKING:
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from langchain_core.messages import HumanMessage
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from deerflow.config.app_config import AppConfig
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from deerflow.runtime.serialization import serialize
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from deerflow.runtime.stream_bridge import StreamBridge
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@ -642,31 +639,6 @@ def _extract_llm_error_fallback_message(value: Any) -> str | None:
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return walk(value)
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def _extract_human_message(graph_input: dict) -> HumanMessage | None:
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"""Extract or construct a HumanMessage from graph_input for event recording.
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Returns a LangChain HumanMessage so callers can use .model_dump() to get
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the checkpoint-aligned serialization format.
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"""
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from langchain_core.messages import HumanMessage
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messages = graph_input.get("messages")
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if not messages:
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return None
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last = messages[-1] if isinstance(messages, list) else messages
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if isinstance(last, HumanMessage):
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return last
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if isinstance(last, str):
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return HumanMessage(content=last) if last else None
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if hasattr(last, "content"):
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content = last.content
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return HumanMessage(content=content)
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if isinstance(last, dict):
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content = last.get("content", "")
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return HumanMessage(content=content) if content else None
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return None
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def _unpack_stream_item(
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item: Any,
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lg_modes: list[str],
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@ -855,12 +855,6 @@ def _validate_local_bash_cwd_target(command_name: str, target: str | None, allow
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raise PermissionError(f"Unsafe working directory change in command: {command_name} {target}. Use paths under {VIRTUAL_PATH_PREFIX}")
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def _looks_like_unsafe_cwd_target(target: str | None) -> bool:
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if target is None:
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return False
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return target == "-" or target.startswith(("$", "`", "~", "/", "..")) or _has_dotdot_path_segment(target)
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def _validate_local_bash_root_path_args(command_name: str, tokens: list[str], start_index: int) -> None:
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if command_name not in _LOCAL_BASH_ROOT_PATH_COMMANDS:
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return
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