mirror of
https://github.com/bytedance/deer-flow.git
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27b66d6753
Introduce an always-on auth layer with auto-created admin on first boot, multi-tenant isolation for threads/stores, and a full setup/login flow. Backend - JWT access tokens with `ver` field for stale-token rejection; bump on password/email change - Password hashing, HttpOnly+Secure cookies (Secure derived from request scheme at runtime) - CSRF middleware covering both REST and LangGraph routes - IP-based login rate limiting (5 attempts / 5-min lockout) with bounded dict growth and X-Forwarded-For bypass fix - Multi-worker-safe admin auto-creation (single DB write, WAL once) - needs_setup + token_version on User model; SQLite schema migration - Thread/store isolation by owner; orphan thread migration on first admin registration - thread_id validated as UUID to prevent log injection - CLI tool to reset admin password - Decorator-based authz module extracted from auth core Frontend - Login and setup pages with SSR guard for needs_setup flow - Account settings page (change password / email) - AuthProvider + route guards; skips redirect when no users registered - i18n (en-US / zh-CN) for auth surfaces - Typed auth API client; parseAuthError unwraps FastAPI detail envelope Infra & tooling - Unified `serve.sh` with gateway mode + auto dep install - Public PyPI uv.toml pin for CI compatibility - Regenerated uv.lock with public index Tests - HTTP vs HTTPS cookie security tests - Auth middleware, rate limiter, CSRF, setup flow coverage
94 lines
2.4 KiB
Python
94 lines
2.4 KiB
Python
from abc import ABC, abstractmethod
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from deerflow.sandbox.search import GrepMatch
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class Sandbox(ABC):
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"""Abstract base class for sandbox environments"""
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_id: str
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def __init__(self, id: str):
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self._id = id
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@property
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def id(self) -> str:
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return self._id
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@abstractmethod
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def execute_command(self, command: str) -> str:
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"""Execute bash command in sandbox.
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Args:
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command: The command to execute.
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Returns:
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The standard or error output of the command.
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"""
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pass
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@abstractmethod
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def read_file(self, path: str) -> str:
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"""Read the content of a file.
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Args:
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path: The absolute path of the file to read.
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Returns:
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The content of the file.
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"""
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pass
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@abstractmethod
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def list_dir(self, path: str, max_depth=2) -> list[str]:
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"""List the contents of a directory.
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Args:
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path: The absolute path of the directory to list.
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max_depth: The maximum depth to traverse. Default is 2.
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Returns:
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The contents of the directory.
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"""
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pass
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@abstractmethod
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def write_file(self, path: str, content: str, append: bool = False) -> None:
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"""Write content to a file.
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Args:
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path: The absolute path of the file to write to.
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content: The text content to write to the file.
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append: Whether to append the content to the file. If False, the file will be created or overwritten.
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"""
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pass
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@abstractmethod
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def glob(self, path: str, pattern: str, *, include_dirs: bool = False, max_results: int = 200) -> tuple[list[str], bool]:
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"""Find paths that match a glob pattern under a root directory."""
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pass
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@abstractmethod
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def grep(
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self,
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path: str,
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pattern: str,
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*,
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glob: str | None = None,
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literal: bool = False,
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case_sensitive: bool = False,
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max_results: int = 100,
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) -> tuple[list[GrepMatch], bool]:
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"""Search for matches inside text files under a directory."""
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pass
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@abstractmethod
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def update_file(self, path: str, content: bytes) -> None:
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"""Update a file with binary content.
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Args:
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path: The absolute path of the file to update.
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content: The binary content to write to the file.
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"""
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pass
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