mirror of
https://github.com/langgenius/dify.git
synced 2026-06-12 19:53:38 +08:00
226 lines
8.4 KiB
Python
226 lines
8.4 KiB
Python
"""Resolve and proxy sandbox file access for Agent App and workflow Agent sessions.
|
|
|
|
These services keep product-facing locators (conversation, workflow run, node)
|
|
on the API boundary and translate them into the agent backend's
|
|
``SandboxLocator`` using persisted non-sensitive runtime layer specs plus the
|
|
saved Agenton session snapshot.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
from collections.abc import Callable
|
|
|
|
from agenton.compositor import CompositorSessionSnapshot
|
|
from dify_agent.client import Client
|
|
from dify_agent.protocol import RuntimeLayerSpec, SandboxLocator, build_sandbox_locator_from_layer_specs
|
|
from pydantic import TypeAdapter
|
|
from sqlalchemy import select
|
|
|
|
from configs import dify_config
|
|
from core.app.apps.agent_app.session_store import AgentAppRuntimeSessionStore
|
|
from core.db.session_factory import session_factory
|
|
from models.agent import AgentRuntimeSessionOwnerType, WorkflowAgentRuntimeSession, WorkflowAgentRuntimeSessionStatus
|
|
|
|
_RUNTIME_LAYER_SPECS_ADAPTER: TypeAdapter[list[RuntimeLayerSpec]] = TypeAdapter(list[RuntimeLayerSpec])
|
|
|
|
|
|
class AgentSandboxInspectorError(Exception):
|
|
"""A sandbox inspection failure mapped to an HTTP status by the controller."""
|
|
|
|
code: str
|
|
message: str
|
|
status_code: int
|
|
|
|
def __init__(self, code: str, message: str, *, status_code: int = 400) -> None:
|
|
super().__init__(message)
|
|
self.code = code
|
|
self.message = message
|
|
self.status_code = status_code
|
|
|
|
|
|
class AgentAppSandboxService:
|
|
"""List/read/upload files in an Agent App conversation sandbox."""
|
|
|
|
def __init__(
|
|
self,
|
|
*,
|
|
session_store: AgentAppRuntimeSessionStore | None = None,
|
|
client_factory: Callable[[], Client] | None = None,
|
|
) -> None:
|
|
self._session_store = session_store or AgentAppRuntimeSessionStore()
|
|
self._client_factory = client_factory or _default_client_factory
|
|
|
|
def list_files(self, *, tenant_id: str, app_id: str, conversation_id: str, path: str):
|
|
locator = self._resolve_locator(tenant_id=tenant_id, app_id=app_id, conversation_id=conversation_id)
|
|
return self._client_factory().list_sandbox_files_sync(locator, path)
|
|
|
|
def read_file(self, *, tenant_id: str, app_id: str, conversation_id: str, path: str):
|
|
locator = self._resolve_locator(tenant_id=tenant_id, app_id=app_id, conversation_id=conversation_id)
|
|
return self._client_factory().read_sandbox_file_sync(locator, path)
|
|
|
|
def upload_file(self, *, tenant_id: str, app_id: str, conversation_id: str, path: str):
|
|
locator = self._resolve_locator(tenant_id=tenant_id, app_id=app_id, conversation_id=conversation_id)
|
|
return self._client_factory().upload_sandbox_file_sync(locator, path)
|
|
|
|
def _resolve_locator(self, *, tenant_id: str, app_id: str, conversation_id: str) -> SandboxLocator:
|
|
stored = self._session_store.load_active_session_for_conversation(
|
|
tenant_id=tenant_id,
|
|
app_id=app_id,
|
|
conversation_id=conversation_id,
|
|
)
|
|
if stored is None:
|
|
raise AgentSandboxInspectorError(
|
|
"no_active_session",
|
|
"this conversation has no active sandbox session yet",
|
|
status_code=404,
|
|
)
|
|
return _build_locator_or_raise(
|
|
snapshot=stored.session_snapshot,
|
|
runtime_layer_specs=stored.runtime_layer_specs,
|
|
not_found_message="this conversation's agent has no sandbox workspace",
|
|
)
|
|
|
|
|
|
class WorkflowAgentSandboxService:
|
|
"""List/read/upload files in a workflow Agent node sandbox."""
|
|
|
|
def __init__(self, *, client_factory: Callable[[], Client] | None = None) -> None:
|
|
self._client_factory = client_factory or _default_client_factory
|
|
|
|
def list_files(
|
|
self,
|
|
*,
|
|
tenant_id: str,
|
|
app_id: str,
|
|
workflow_run_id: str,
|
|
node_id: str,
|
|
node_execution_id: str | None,
|
|
path: str,
|
|
):
|
|
locator = self._resolve_locator(
|
|
tenant_id=tenant_id,
|
|
app_id=app_id,
|
|
workflow_run_id=workflow_run_id,
|
|
node_id=node_id,
|
|
node_execution_id=node_execution_id,
|
|
)
|
|
return self._client_factory().list_sandbox_files_sync(locator, path)
|
|
|
|
def read_file(
|
|
self,
|
|
*,
|
|
tenant_id: str,
|
|
app_id: str,
|
|
workflow_run_id: str,
|
|
node_id: str,
|
|
node_execution_id: str | None,
|
|
path: str,
|
|
):
|
|
locator = self._resolve_locator(
|
|
tenant_id=tenant_id,
|
|
app_id=app_id,
|
|
workflow_run_id=workflow_run_id,
|
|
node_id=node_id,
|
|
node_execution_id=node_execution_id,
|
|
)
|
|
return self._client_factory().read_sandbox_file_sync(locator, path)
|
|
|
|
def upload_file(
|
|
self,
|
|
*,
|
|
tenant_id: str,
|
|
app_id: str,
|
|
workflow_run_id: str,
|
|
node_id: str,
|
|
node_execution_id: str | None,
|
|
path: str,
|
|
):
|
|
locator = self._resolve_locator(
|
|
tenant_id=tenant_id,
|
|
app_id=app_id,
|
|
workflow_run_id=workflow_run_id,
|
|
node_id=node_id,
|
|
node_execution_id=node_execution_id,
|
|
)
|
|
return self._client_factory().upload_sandbox_file_sync(locator, path)
|
|
|
|
def _resolve_locator(
|
|
self,
|
|
*,
|
|
tenant_id: str,
|
|
app_id: str,
|
|
workflow_run_id: str,
|
|
node_id: str,
|
|
node_execution_id: str | None,
|
|
) -> SandboxLocator:
|
|
"""Resolve one workflow Agent sandbox from product-facing identifiers.
|
|
|
|
Callers may target either a specific node execution or the current node
|
|
as a whole. When ``node_execution_id`` is provided, lookup narrows to
|
|
that execution's ACTIVE runtime-session row. When it is omitted, the
|
|
service falls back to the most recently updated ACTIVE session for the
|
|
same ``workflow_run_id + node_id`` pair so console sandbox inspection can
|
|
still work from the broader workflow/node locator.
|
|
"""
|
|
stmt = select(WorkflowAgentRuntimeSession).where(
|
|
WorkflowAgentRuntimeSession.owner_type == AgentRuntimeSessionOwnerType.WORKFLOW_RUN,
|
|
WorkflowAgentRuntimeSession.tenant_id == tenant_id,
|
|
WorkflowAgentRuntimeSession.app_id == app_id,
|
|
WorkflowAgentRuntimeSession.workflow_run_id == workflow_run_id,
|
|
WorkflowAgentRuntimeSession.node_id == node_id,
|
|
WorkflowAgentRuntimeSession.status == WorkflowAgentRuntimeSessionStatus.ACTIVE,
|
|
)
|
|
if node_execution_id:
|
|
stmt = stmt.where(WorkflowAgentRuntimeSession.node_execution_id == node_execution_id)
|
|
stmt = stmt.order_by(WorkflowAgentRuntimeSession.updated_at.desc()).limit(1)
|
|
|
|
with session_factory.create_session() as session:
|
|
row = session.scalar(stmt)
|
|
|
|
if row is None:
|
|
raise AgentSandboxInspectorError(
|
|
"no_active_session",
|
|
"this workflow Agent node has no active sandbox session yet",
|
|
status_code=404,
|
|
)
|
|
return _build_locator_or_raise(
|
|
snapshot=CompositorSessionSnapshot.model_validate_json(row.session_snapshot),
|
|
runtime_layer_specs=_deserialize_runtime_layer_specs(row.composition_layer_specs),
|
|
not_found_message="this workflow Agent node has no sandbox workspace",
|
|
)
|
|
|
|
|
|
def _build_locator_or_raise(
|
|
*,
|
|
snapshot: CompositorSessionSnapshot,
|
|
runtime_layer_specs: list[RuntimeLayerSpec],
|
|
not_found_message: str,
|
|
) -> SandboxLocator:
|
|
try:
|
|
return build_sandbox_locator_from_layer_specs(
|
|
layer_specs=runtime_layer_specs,
|
|
session_snapshot=snapshot,
|
|
)
|
|
except ValueError as exc:
|
|
raise AgentSandboxInspectorError("no_sandbox", not_found_message, status_code=404) from exc
|
|
|
|
|
|
def _deserialize_runtime_layer_specs(value: str | None) -> list[RuntimeLayerSpec]:
|
|
if not value:
|
|
return []
|
|
return _RUNTIME_LAYER_SPECS_ADAPTER.validate_json(value)
|
|
|
|
|
|
def _default_client_factory() -> Client:
|
|
base_url = dify_config.AGENT_BACKEND_BASE_URL
|
|
if not base_url:
|
|
raise AgentSandboxInspectorError(
|
|
"inspector_unavailable",
|
|
"the sandbox file inspector is not available (agent backend not configured)",
|
|
status_code=503,
|
|
)
|
|
return Client(base_url=base_url)
|
|
|
|
|
|
__all__ = ["AgentAppSandboxService", "AgentSandboxInspectorError", "WorkflowAgentSandboxService"]
|