Files
hermes-agent/tools/environments/modal.py

342 lines
14 KiB
Python

"""Modal cloud execution environment using the native Modal SDK directly
(``Sandbox.create()`` + ``Sandbox.exec()``) with persistent snapshots across sessions."""
import asyncio
import base64
import io
import itertools
import logging
import shlex
import tarfile
import threading
from pathlib import Path
from typing import Any, Optional
from hermes_constants import get_hermes_home
from tools.environments.base import BaseEnvironment, _ThreadedProcessHandle, _load_json_store, _save_json_store
from tools.environments.file_sync import (
FileSyncManager, iter_sync_files, quoted_mkdir_command, quoted_rm_command, unique_parent_dirs,
)
from tools.environments.remote_common import bash_argv, ensure_lazy_dep
logger = logging.getLogger(__name__)
_SNAPSHOT_STORE = get_hermes_home() / "modal_snapshots.json"
_DIRECT_SNAPSHOT_NAMESPACE = "direct"
def _load_snapshots() -> dict:
return _load_json_store(_SNAPSHOT_STORE)
def _save_snapshots(data: dict) -> None:
_save_json_store(_SNAPSHOT_STORE, data)
def _direct_snapshot_key(task_id: str) -> str:
return f"{_DIRECT_SNAPSHOT_NAMESPACE}:{task_id}"
def _get_snapshot_restore_candidate(task_id: str) -> tuple[str | None, bool]:
"""Return (snapshot_id, from_legacy_key); the namespaced key wins over the legacy bare task id."""
snapshots = _load_snapshots()
for key, legacy in ((_direct_snapshot_key(task_id), False), (task_id, True)):
snapshot_id = snapshots.get(key)
if isinstance(snapshot_id, str) and snapshot_id:
return snapshot_id, legacy
return None, False
def _store_direct_snapshot(task_id: str, snapshot_id: str) -> None:
snapshots = _load_snapshots()
snapshots[_direct_snapshot_key(task_id)] = snapshot_id
snapshots.pop(task_id, None)
_save_snapshots(snapshots)
def _delete_direct_snapshot(task_id: str, snapshot_id: str | None = None) -> None:
snapshots = _load_snapshots()
updated = False
for key in (_direct_snapshot_key(task_id), task_id):
value = snapshots.get(key)
if value is not None and (snapshot_id is None or value == snapshot_id):
snapshots.pop(key, None)
updated = True
if updated:
_save_snapshots(snapshots)
def _ensure_modal_sdk() -> None:
"""Lazy-install modal on demand. Idempotent — fast no-op once installed."""
ensure_lazy_dep("terminal.modal")
def _resolve_modal_image(image_spec: Any) -> Any:
"""Convert registry references or snapshot ids into Modal image objects. Registry images
get pip repaired (ensurepip) before Modal's bootstrap; ubuntu/debian also get python3."""
_ensure_modal_sdk()
import modal as _modal
if not isinstance(image_spec, str):
return image_spec
if image_spec.startswith("im-"):
return _modal.Image.from_id(image_spec)
setup_commands = [
"RUN rm -rf /usr/local/lib/python*/site-packages/pip* 2>/dev/null; "
"python -m ensurepip --upgrade --default-pip 2>/dev/null || true",
]
if any(base in image_spec.lower() for base in ("ubuntu", "debian")):
setup_commands.insert(0,
"RUN apt-get update -qq && apt-get install -y -qq python3 python3-venv > /dev/null 2>&1 || true"
)
return _modal.Image.from_registry(image_spec, setup_dockerfile_commands=setup_commands)
async def _stream_stdin(proc, payload: str, chunk_size: int) -> None:
"""Write ``payload`` to ``proc.stdin`` in ``chunk_size`` pieces, draining after each, then EOF."""
offset = 0
while offset < len(payload):
proc.stdin.write(payload[offset:offset + chunk_size])
await proc.stdin.drain.aio()
offset += chunk_size
proc.stdin.write_eof()
await proc.stdin.drain.aio()
class _AsyncWorker:
"""Background thread with its own event loop for async-safe Modal calls."""
def __init__(self):
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._thread: Optional[threading.Thread] = None
self._started = threading.Event()
def start(self):
self._thread = threading.Thread(target=self._run_loop, daemon=True)
self._thread.start()
self._started.wait(timeout=30)
def _run_loop(self):
self._loop = asyncio.new_event_loop()
asyncio.set_event_loop(self._loop)
self._started.set()
self._loop.run_forever()
def run_coroutine(self, coro, timeout=600):
from agent.async_utils import safe_schedule_threadsafe
if self._loop is None or self._loop.is_closed():
if asyncio.iscoroutine(coro):
coro.close()
raise RuntimeError("AsyncWorker loop is not running")
future = safe_schedule_threadsafe(coro, self._loop)
if future is None:
raise RuntimeError("AsyncWorker loop is not running")
return future.result(timeout=timeout)
def stop(self):
if self._loop and self._loop.is_running():
self._loop.call_soon_threadsafe(self._loop.stop)
if self._thread:
self._thread.join(timeout=10)
class ModalEnvironment(BaseEnvironment):
"""Modal cloud execution via native Modal sandboxes: spawn-per-call via _ThreadedProcessHandle
wrapping async SDK calls, cancel_fn wired to sandbox.terminate for interrupt support."""
_stdin_mode = "heredoc"
_snapshot_timeout = 60 # Modal cold starts can be slow
# Modal SDK stdin buffer limit: the command-router path allows 16 MB but the
# legacy server path caps at 2 MB, so chunks stay under 2 MB and each is
# flushed individually via drain().
_STDIN_CHUNK_SIZE = 1 * 1024 * 1024 # 1 MB — safe for both transport paths
def __init__(self, image: str, cwd: str = "/root", timeout: int = 60,
modal_sandbox_kwargs: Optional[dict[str, Any]] = None,
persistent_filesystem: bool = True, task_id: str = "default"):
super().__init__(cwd=cwd, timeout=timeout)
self._persistent = persistent_filesystem
self._task_id = task_id
self._sandbox = None
self._app = None
self._worker = _AsyncWorker()
self._sync_manager: FileSyncManager | None = None # initialized after sandbox creation
sandbox_kwargs = dict(modal_sandbox_kwargs or {})
restored_snapshot_id = None
restored_from_legacy_key = False
if self._persistent:
restored_snapshot_id, restored_from_legacy_key = _get_snapshot_restore_candidate(self._task_id)
if restored_snapshot_id:
logger.info("Modal: restoring from snapshot %s", restored_snapshot_id[:20])
_ensure_modal_sdk()
import modal as _modal
cred_mounts = []
try:
from tools.credential_files import get_credential_file_mounts, iter_skills_files, iter_cache_files
# from_iterable keeps each source lazy so a failure mid-way leaves the earlier mounts in place
for entry in itertools.chain.from_iterable(
fn() for fn in (get_credential_file_mounts, iter_skills_files, iter_cache_files)
):
cred_mounts.append(
_modal.Mount.from_local_file(entry["host_path"], remote_path=entry["container_path"])
)
except Exception as e:
logger.debug("Modal: could not load credential file mounts: %s", e)
self._worker.start()
async def _create_sandbox(image_spec: Any):
app = await _modal.App.lookup.aio("hermes-agent", create_if_missing=True)
create_kwargs = dict(sandbox_kwargs)
if cred_mounts:
create_kwargs["mounts"] = list(create_kwargs.pop("mounts", [])) + cred_mounts
sandbox = await _modal.Sandbox.create.aio(
"sleep", "infinity", image=image_spec, app=app,
timeout=int(create_kwargs.pop("timeout", 3600)), **create_kwargs,
)
return app, sandbox
try:
try:
effective_image = _resolve_modal_image(restored_snapshot_id or image)
self._app, self._sandbox = self._worker.run_coroutine(_create_sandbox(effective_image), timeout=300)
except Exception as exc:
if not restored_snapshot_id:
raise
logger.warning(
"Modal: failed to restore snapshot %s, retrying with base image: %s",
restored_snapshot_id[:20], exc,
)
_delete_direct_snapshot(self._task_id, restored_snapshot_id)
self._app, self._sandbox = self._worker.run_coroutine(
_create_sandbox(_resolve_modal_image(image)), timeout=300)
else:
if restored_snapshot_id and restored_from_legacy_key:
_store_direct_snapshot(self._task_id, restored_snapshot_id)
except Exception:
self._worker.stop()
raise
logger.info("Modal: sandbox created (task=%s)", self._task_id)
self._sync_manager = FileSyncManager(
get_files_fn=lambda: iter_sync_files("/root/.hermes"),
upload_fn=self._modal_upload, delete_fn=self._modal_delete,
bulk_upload_fn=self._modal_bulk_upload, bulk_download_fn=self._modal_bulk_download,
)
self._sync_manager.sync(force=True)
self.init_session()
def _modal_upload(self, host_path: str, remote_path: str) -> None:
"""Upload a single file via base64 piped through stdin."""
b64 = base64.b64encode(Path(host_path).read_bytes()).decode("ascii")
container_dir = str(Path(remote_path).parent)
cmd = f"mkdir -p {shlex.quote(container_dir)} && base64 -d > {shlex.quote(remote_path)}"
async def _write():
proc = await self._sandbox.exec.aio("bash", "-c", cmd)
await _stream_stdin(proc, b64, self._STDIN_CHUNK_SIZE)
await proc.wait.aio()
self._worker.run_coroutine(_write(), timeout=30)
def _modal_bulk_upload(self, files: list[tuple[str, str]]) -> None:
"""Upload many files as one in-memory gzipped tar streamed through stdin
into ``base64 -d | tar xzf -``, avoiding the SDK's 64 KB exec-arg limit."""
if not files:
return
buf = io.BytesIO()
with tarfile.open(fileobj=buf, mode="w:gz") as tar:
for host_path, remote_path in files:
tar.add(host_path, arcname=remote_path.lstrip("/"))
payload = base64.b64encode(buf.getvalue()).decode("ascii")
cmd = f"{quoted_mkdir_command(unique_parent_dirs(files))} && base64 -d | tar xzf - -C /"
async def _bulk():
proc = await self._sandbox.exec.aio("bash", "-c", cmd)
await _stream_stdin(proc, payload, self._STDIN_CHUNK_SIZE)
exit_code = await proc.wait.aio()
if exit_code != 0:
stderr_text = await proc.stderr.read.aio()
raise RuntimeError(f"Modal bulk upload failed (exit {exit_code}): {stderr_text}")
self._worker.run_coroutine(_bulk(), timeout=120)
def _modal_bulk_download(self, dest: Path) -> None:
"""Download remote .hermes/ as a tar archive (sandboxes run as root, so /root/.hermes)."""
async def _download():
proc = await self._sandbox.exec.aio("bash", "-c", "tar cf - -C / root/.hermes")
data = await proc.stdout.read.aio()
exit_code = await proc.wait.aio()
if exit_code != 0:
raise RuntimeError(f"Modal bulk download failed (exit {exit_code})")
return data
tar_bytes = self._worker.run_coroutine(_download(), timeout=120)
if isinstance(tar_bytes, str):
tar_bytes = tar_bytes.encode()
dest.write_bytes(tar_bytes)
def _modal_delete(self, remote_paths: list[str]) -> None:
"""Batch-delete remote files via exec."""
rm_cmd = quoted_rm_command(remote_paths)
async def _rm():
proc = await self._sandbox.exec.aio("bash", "-c", rm_cmd)
await proc.wait.aio()
self._worker.run_coroutine(_rm(), timeout=15)
def _before_execute(self) -> None:
"""Sync files to sandbox via FileSyncManager (rate-limited internally)."""
self._sync_manager.sync()
def _run_bash(self, cmd_string: str, *, login: bool = False, timeout: int = 120, stdin_data: str | None = None):
"""Return a _ThreadedProcessHandle wrapping an async Modal sandbox exec."""
sandbox = self._sandbox
worker = self._worker
def cancel():
worker.run_coroutine(sandbox.terminate.aio(), timeout=15)
def exec_fn() -> tuple[str, int]:
async def _do():
process = await sandbox.exec.aio(*bash_argv(cmd_string, login), timeout=timeout)
stdout = await process.stdout.read.aio()
stderr = await process.stderr.read.aio()
exit_code = await process.wait.aio()
if isinstance(stdout, bytes):
stdout = stdout.decode("utf-8", errors="replace")
if isinstance(stderr, bytes):
stderr = stderr.decode("utf-8", errors="replace")
output = stdout
if stderr:
output = f"{stdout}\n{stderr}" if stdout else stderr
return output, exit_code
return worker.run_coroutine(_do(), timeout=timeout + 30)
return _ThreadedProcessHandle(exec_fn, cancel_fn=cancel)
def cleanup(self):
"""Snapshot the filesystem (if persistent) then stop the sandbox."""
if self._sandbox is None:
return
if self._sync_manager:
logger.info("Modal: syncing files from sandbox...")
self._sync_manager.sync_back()
if self._persistent:
try:
async def _snapshot():
img = await self._sandbox.snapshot_filesystem.aio()
return img.object_id
try:
snapshot_id = self._worker.run_coroutine(_snapshot(), timeout=60)
except Exception:
snapshot_id = None
if snapshot_id:
_store_direct_snapshot(self._task_id, snapshot_id)
logger.info("Modal: saved filesystem snapshot %s for task %s", snapshot_id[:20], self._task_id)
except Exception as e:
logger.warning("Modal: filesystem snapshot failed: %s", e)
try:
self._worker.run_coroutine(self._sandbox.terminate.aio(), timeout=15)
except Exception:
pass
finally:
self._worker.stop()
self._sandbox = None
self._app = None