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chore: import upstream snapshot with attribution
2026-07-13 12:30:44 +08:00

64 lines
2.5 KiB
Python

from mirage.cache.index import IndexCacheStore
from mirage.commands.builtin.generic.cat import cat as generic_cat
from mirage.commands.builtin.generic_bind import CommandIO
from mirage.commands.builtin.generic_bind.provision import \
make_file_read_provision
from mirage.commands.registry import command
from mirage.commands.spec import SPECS
from mirage.core.dify.glob import resolve_glob
from mirage.core.dify.stat import stat as dify_stat
from mirage.io.cachable_iterator import CachableAsyncIterator
from mirage.io.stream import async_chain
from mirage.io.types import ByteSource, IOResult
from mirage.types import PathSpec
def make_cat(ops: CommandIO):
"""Build dify ``cat`` over cache-aware readers.
Args:
ops (CommandIO): the dify IO adapter whose ``read_bytes`` /
``read_stream`` already serve cached bytes when warm.
"""
@command("cat",
resource="dify",
spec=SPECS["cat"],
provision=make_file_read_provision(dify_stat))
async def cat(
accessor,
paths: list[PathSpec],
*texts: str,
n: bool = False,
index: IndexCacheStore | None = None,
**_extra: object,
) -> tuple[ByteSource | None, IOResult]:
paths = await resolve_glob(accessor, paths, index)
# dify is a remote (cacheable) backend. Single file: stream via a
# cachable returned AS stdout so the tee fills the cache as the
# consumer reads. Multiple files: per-file cachables plus a joined
# stdout are different objects, so the cache-fill background drain
# races the consumer on the same stream and poisons each file's cache
# slot. Read each file to bytes: cache real bytes directly (no drain,
# no race) and concatenate for stdout.
if len(paths) == 1:
p = paths[0]
cachable = CachableAsyncIterator(
ops.read_stream(accessor, p, index))
io = IOResult(reads={p.mount_path: cachable}, cache=[p.mount_path])
source: ByteSource = cachable
else:
reads: dict[str, ByteSource] = {}
parts: list[bytes] = []
for p in paths:
data = await ops.read_bytes(accessor, p, index)
reads[p.mount_path] = data
parts.append(data)
io = IOResult(reads=reads, cache=list(reads))
source = async_chain(*parts)
if n:
return generic_cat(source, number_lines=True), io
return source, io
return cat