chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 12:30:44 +08:00
commit bcbd1bdb22
5748 changed files with 562488 additions and 0 deletions
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# ========= Copyright 2026 @ Strukto.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 2026 @ Strukto.AI All Rights Reserved. =========
from mirage.resource.databricks_volume.config import DatabricksVolumeConfig
__all__ = ["DatabricksVolumeConfig", "DatabricksVolumeResource"]
def __getattr__(name: str):
if name == "DatabricksVolumeResource":
from mirage.resource.databricks_volume.databricks_volume import \
DatabricksVolumeResource
return DatabricksVolumeResource
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
@@ -0,0 +1,52 @@
# ========= Copyright 2026 @ Strukto.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 2026 @ Strukto.AI All Rights Reserved. =========
import posixpath
from pydantic import BaseModel, ConfigDict, Field, field_validator
class DatabricksVolumeConfig(BaseModel):
model_config = ConfigDict(frozen=True,
populate_by_name=True,
serialize_by_alias=True)
catalog: str
# Public config key is still "schema"
# internal name avoids warning overwriting BaseModel.schema.
schema_name: str = Field(alias="schema")
volume: str
root_path: str = "/"
host: str | None = None
token: str | None = None
profile: str | None = None
timeout: int = 30
@field_validator("catalog", "schema_name", "volume")
@classmethod
def validate_volume_part(cls, value: str) -> str:
if not value or "/" in value:
raise ValueError("must be a non-empty path segment")
return value
@field_validator("root_path")
@classmethod
def normalize_root_path(cls, value: str) -> str:
stripped = value.strip("/")
if not stripped:
return "/"
if any(part == ".." for part in stripped.split("/")):
raise ValueError("root_path must not contain '..' segments")
normalized = posixpath.normpath("/" + stripped)
return "/" if normalized == "/." else normalized
@@ -0,0 +1,103 @@
# ========= Copyright 2026 @ Strukto.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 2026 @ Strukto.AI All Rights Reserved. =========
import dataclasses
from typing import Any
from mirage.accessor.databricks_volume import DatabricksVolumeAccessor
from mirage.commands.builtin.databricks_volume import \
COMMANDS as DATABRICKS_VOLUME_COMMANDS
from mirage.core.databricks_volume.copy import copy
from mirage.core.databricks_volume.create import create
from mirage.core.databricks_volume.exists import exists
from mirage.core.databricks_volume.glob import resolve_glob as _resolve_glob
from mirage.core.databricks_volume.mkdir import mkdir
from mirage.core.databricks_volume.read import read_bytes
from mirage.core.databricks_volume.readdir import readdir
from mirage.core.databricks_volume.rename import rename
from mirage.core.databricks_volume.rm import rm_recursive
from mirage.core.databricks_volume.rmdir import rmdir
from mirage.core.databricks_volume.stat import stat as databricks_stat
from mirage.core.databricks_volume.stream import range_read, read_stream
from mirage.core.databricks_volume.unlink import unlink
from mirage.core.databricks_volume.write import write_bytes
from mirage.ops.databricks_volume import OPS as DATABRICKS_VOLUME_OPS
from mirage.resource.base import BaseResource
from mirage.resource.databricks_volume.config import DatabricksVolumeConfig
from mirage.resource.databricks_volume.prompt import PROMPT
from mirage.types import PathSpec, ResourceName
from mirage.utils.key_prefix import mount_key
_DATABRICKS_VOLUME_OPS = {
"read_bytes": read_bytes,
"readdir": readdir,
"stat": databricks_stat,
"read_stream": read_stream,
"range_read": range_read,
"exists": exists,
"write": write_bytes,
"create": create,
"unlink": unlink,
"mkdir": mkdir,
"rmdir": rmdir,
"copy": copy,
"rename": rename,
"rm_recursive": rm_recursive,
}
class DatabricksVolumeResource(BaseResource):
name: str = ResourceName.DATABRICKS_VOLUME
caches_reads: bool = True
_ops: dict[str, Any] = _DATABRICKS_VOLUME_OPS
PROMPT: str = PROMPT
def __init__(
self,
config: DatabricksVolumeConfig,
client: Any | None = None,
) -> None:
super().__init__()
self.config = config
self.accessor = DatabricksVolumeAccessor(self.config, client)
for fn in DATABRICKS_VOLUME_COMMANDS:
self.register(fn)
for fn in DATABRICKS_VOLUME_OPS:
self.register_op(fn)
async def resolve_glob(self, paths, prefix: str = ""):
if prefix:
paths = [
dataclasses.replace(p,
resource_path=mount_key(p.virtual, prefix))
if isinstance(p, PathSpec) else p for p in paths
]
return await _resolve_glob(self.accessor, paths, self._index)
def get_state(self) -> dict:
redacted = ["token"]
cfg = self.config.model_dump()
for field in redacted:
if cfg.get(field) is not None:
cfg[field] = "<REDACTED>"
return {
"type": self.name,
"needs_override": True,
"redacted_fields": redacted,
"config": cfg,
}
def load_state(self, state: dict) -> None:
pass
@@ -0,0 +1,26 @@
# ========= Copyright 2026 @ Strukto.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 2026 @ Strukto.AI All Rights Reserved. =========
PROMPT = """\
{prefix}
Remote Databricks Unity Catalog volume filesystem.
IMPORTANT: This is a remote mount - every file/dir access is an API round-trip.
Prefer targeted reads (ls, head, grep, rg, find with a path/glob) over full
scans; recursive ops (rm -r, cp -r, tree, grep -r) over a large tree are slow.
Create parent dirs before writing: `mkdir -p /path && cmd > /path/out`.
mv/cp are non-atomic full copies (no server-side rename) - avoid on large files.
sed -i is not supported; transform and redirect to a new file instead.
Read/analyze: ls, cat, head, tail, grep, rg, find, tree, stat, wc, sort, uniq,
cut, nl, tr, sed, awk, jq, diff.
Write: touch, rm, rm -r, mkdir, mkdir -p, cp, mv, and >/>> redirects."""