eigent/backend/app/agent/toolkit/file_write_toolkit.py
Tong Chen cf3cb8cbcd
feat: Space layer above Project + RunContext + Single Agent CDP (#1655)
Co-authored-by: Douglas Lai <115660088+Douglasymlai@users.noreply.github.com>
Co-authored-by: Douglas <douglas.ym.lai@gmail.com>
2026-05-29 16:19:48 +08:00

183 lines
6.4 KiB
Python

# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
import os
from dataclasses import dataclass
from pathlib import Path
from typing import Literal
from camel.toolkits import FileToolkit as BaseFileToolkit
from app.agent.toolkit.abstract_toolkit import AbstractToolkit
from app.component.environment import env
from app.run_context import RunContext
from app.service.task import (
ActionWriteFileData,
Agents,
get_task_lock,
process_task,
)
from app.utils.listen.toolkit_listen import (
_safe_put_queue,
auto_listen_toolkit,
listen_toolkit,
)
from app.utils.space_overlay_client import (
path_write_lock,
post_overlay_write,
relative_to_workdir,
run_context_for_task,
sha256_of_file,
should_record_overlay,
)
@dataclass(frozen=True)
class OverlayWriteContext:
run_context: RunContext
rel_path: str
target_path: Path
@dataclass(frozen=True)
class PendingOverlayWrite:
run_context: RunContext
rel_path: str
target_path: Path
base_hash: str | None
status: Literal["added", "modified"]
file_hash: str | None
size: int
mode: int
@auto_listen_toolkit(BaseFileToolkit)
class FileToolkit(BaseFileToolkit, AbstractToolkit):
agent_name: str = Agents.document_agent
def __init__(
self,
api_task_id: str,
working_directory: str | None = None,
timeout: float | None = None,
default_encoding: str = "utf-8",
backup_enabled: bool = True,
) -> None:
if working_directory is None:
working_directory = env(
"file_save_path", os.path.expanduser("~/Downloads")
)
super().__init__(
working_directory, timeout, default_encoding, backup_enabled
)
self.api_task_id = api_task_id
def _overlay_write_context(
self, filename: str
) -> OverlayWriteContext | None:
context = run_context_for_task(self.api_task_id)
if context is None:
return None
resolved = relative_to_workdir(context, filename)
if resolved is None:
return None
rel_path, target_path = resolved
if not should_record_overlay(context, target_path):
return None
return OverlayWriteContext(context, rel_path, target_path)
@listen_toolkit(
BaseFileToolkit.write_to_file,
lambda _,
title,
content,
filename,
encoding=None,
use_latex=False: f"write content to file: {filename} with encoding: {encoding} and use_latex: {use_latex}",
)
def write_to_file(
self,
title: str,
content: str | list[list[str]],
filename: str,
encoding: str | None = None,
use_latex: bool = False,
) -> str:
overlay_context = self._overlay_write_context(filename)
if overlay_context is None:
res = super().write_to_file(
title, content, filename, encoding, use_latex
)
else:
pending_overlay_write: PendingOverlayWrite | None = None
with path_write_lock(
overlay_context.run_context.space_id,
overlay_context.run_context.project_id,
overlay_context.run_context.run_id,
overlay_context.rel_path,
):
existed = overlay_context.target_path.exists()
base_hash = sha256_of_file(overlay_context.target_path)
res = super().write_to_file(
title, content, filename, encoding, use_latex
)
if "Content successfully written to file: " in res:
written_path = Path(
res.replace(
"Content successfully written to file: ", ""
)
)
if not written_path.is_absolute():
written_path = (
Path(self.working_directory) / written_path
)
written_hash = sha256_of_file(written_path)
written_stat = written_path.stat()
pending_overlay_write = PendingOverlayWrite(
run_context=overlay_context.run_context,
rel_path=overlay_context.rel_path,
target_path=written_path,
base_hash=base_hash,
status="modified" if existed else "added",
file_hash=written_hash,
size=written_stat.st_size,
mode=written_stat.st_mode,
)
if pending_overlay_write is not None:
post_overlay_write(
pending_overlay_write.run_context,
pending_overlay_write.rel_path,
pending_overlay_write.target_path,
base_hash=pending_overlay_write.base_hash,
status=pending_overlay_write.status,
file_hash=pending_overlay_write.file_hash,
size=pending_overlay_write.size,
mode=pending_overlay_write.mode,
)
if "Content successfully written to file: " in res:
task_lock = get_task_lock(self.api_task_id)
# Capture ContextVar value before creating async task
current_process_task_id = process_task.get("")
# Use _safe_put_queue to handle both sync and async contexts
_safe_put_queue(
task_lock,
ActionWriteFileData(
process_task_id=current_process_task_id,
data=res.replace(
"Content successfully written to file: ", ""
),
),
)
return res