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"""
The S3Workspace class provides an interface for interacting with a file workspace, and
stores the files in an S3 bucket.
"""
from __future__ import annotations
import contextlib
import inspect
import logging
import os
from pathlib import Path
from typing import TYPE_CHECKING, Optional
import boto3
import botocore.exceptions
from pydantic import SecretStr
from autogpt.core.configuration.schema import UserConfigurable
from .base import FileWorkspace, FileWorkspaceConfiguration
if TYPE_CHECKING:
import mypy_boto3_s3
logger = logging.getLogger(__name__)
class S3FileWorkspaceConfiguration(FileWorkspaceConfiguration):
bucket: str = UserConfigurable("autogpt", from_env="WORKSPACE_STORAGE_BUCKET")
s3_endpoint_url: Optional[SecretStr] = UserConfigurable(
from_env=lambda: SecretStr(v) if (v := os.getenv("S3_ENDPOINT_URL")) else None
)
class S3FileWorkspace(FileWorkspace):
"""A class that represents an S3 workspace."""
_bucket: mypy_boto3_s3.service_resource.Bucket
def __init__(self, config: S3FileWorkspaceConfiguration):
self._bucket_name = config.bucket
self._root = config.root
# https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html
self._s3 = boto3.resource(
"s3",
endpoint_url=config.s3_endpoint_url.get_secret_value()
if config.s3_endpoint_url
else None,
)
super().__init__()
@property
def root(self) -> Path:
"""The root directory of the file workspace."""
return self._root
@property
def restrict_to_root(self):
"""Whether to restrict generated paths to the root."""
return True
def initialize(self) -> None:
try:
self._s3.meta.client.head_bucket(Bucket=self._bucket_name)
self._bucket = self._s3.Bucket(self._bucket_name)
except botocore.exceptions.ClientError as e:
if "(404)" not in str(e):
raise
self._bucket = self._s3.create_bucket(Bucket=self._bucket_name)
def get_path(self, relative_path: str | Path) -> Path:
return super().get_path(relative_path).relative_to(Path("/"))
def open_file(self, path: str | Path, mode: str = "r"):
"""Open a file in the workspace."""
path = self.get_path(path)
obj = self._bucket.Object(str(path))
with contextlib.suppress(botocore.exceptions.ClientError):
obj.load()
return obj
def read_file(self, path: str | Path, binary: bool = False) -> str | bytes:
"""Read a file in the workspace."""
file_content = self.open_file(path, "r").get()["Body"].read()
return file_content if binary else file_content.decode()
async def write_file(self, path: str | Path, content: str | bytes):
"""Write to a file in the workspace."""
obj = self.open_file(path, "w")
obj.put(Body=content)
if self.on_write_file:
path = Path(path)
if path.is_absolute():
path = path.relative_to(self.root)
res = self.on_write_file(path)
if inspect.isawaitable(res):
await res
def list_files(self, path: str | Path = ".") -> list[Path]:
"""List all files in a directory in the workspace."""
path = self.get_path(path)
if path == Path("."):
return [
Path(obj.key)
for obj in self._bucket.objects.all()
if not obj.key.endswith("/")
]
else:
return [
Path(obj.key)
for obj in self._bucket.objects.filter(Prefix=str(path))
if not obj.key.endswith("/")
]
def delete_file(self, path: str | Path) -> None:
"""Delete a file in the workspace."""
path = self.get_path(path)
obj = self._s3.Object(self._bucket_name, str(path))
obj.delete()
|
