torchdata/datapipes/iter/load/fsspec: added fsspec datapipes

.github/workflows/ci.yml

@@ -44,7 +44,7 @@ jobs:
           pip3 install -r requirements.txt
           pip3 install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
       - name: Install test requirements
-        run: pip3 install expecttest iopath==0.1.9 numpy pytest rarfile
+        run: pip3 install expecttest fsspec iopath==0.1.9 numpy pytest rarfile
       - name: Build TorchData
         run: python setup.py develop
       - name: Run DataPipes tests with pytest

mypy.ini

@@ -31,3 +31,6 @@ ignore_missing_imports = True
 
 [mypy-rarfile.*]
 ignore_missing_imports = True
+
+[mypy-fsspec.*]
+ignore_missing_imports = True

test/test_fsspec.py

@@ -0,0 +1,159 @@
+# Copyright (c) Facebook, Inc. and its affiliates.
+import expecttest
+import os
+import unittest
+import warnings
+
+from torchdata.datapipes.iter import (
+    FileLister,
+    IterableWrapper,
+    FSSpecFileLister,
+    FSSpecFileLoader,
+    FSSpecSaver,
+)
+
+from _utils._common_utils_for_test import (
+    create_temp_dir,
+    create_temp_files,
+    reset_after_n_next_calls,
+)
+
+try:
+    import fsspec
+
+    HAS_FSSPEC = True
+except ImportError:
+    HAS_FSSPEC = False
+skipIfNoFSSpec = unittest.skipIf(not HAS_FSSPEC, "no fsspec")
+
+
+class TestDataPipeFSSpec(expecttest.TestCase):
+    def setUp(self):
+        self.temp_dir = create_temp_dir()
+        self.temp_files = create_temp_files(self.temp_dir)
+        self.temp_sub_dir = create_temp_dir(self.temp_dir.name)
+        self.temp_sub_files = create_temp_files(self.temp_sub_dir, 4, False)
+
+    def tearDown(self):
+        try:
+            self.temp_sub_dir.cleanup()
+            self.temp_dir.cleanup()
+        except Exception as e:
+            warnings.warn(
+                f"TestDataPipeLocalIO was not able to cleanup temp dir due to {e}"
+            )
+
+    def _write_text_files(self):
+        def filepath_fn(name: str) -> str:
+            return os.path.join(self.temp_dir.name, os.path.basename(name))
+
+        name_to_data = {"1.text": b"DATA", "2.text": b"DATA", "3.text": b"DATA"}
+        source_dp = IterableWrapper(sorted(name_to_data.items()))
+        saver_dp = source_dp.save_to_disk(filepath_fn=filepath_fn, mode="wb")
+        list(saver_dp)
+
+    @skipIfNoFSSpec
+    def test_fsspec_file_lister_iterdatapipe(self):
+        datapipe = FSSpecFileLister(root="file://" + self.temp_sub_dir.name)
+
+        # check all file paths within sub_folder are listed
+        for path in datapipe:
+            self.assertIn(path.split("://")[1], self.temp_sub_files)
+
+    @skipIfNoFSSpec
+    def test_fsspec_file_loader_iterdatapipe(self):
+        datapipe1 = FSSpecFileLister(root="file://" + self.temp_sub_dir.name)
+        datapipe2 = FSSpecFileLoader(datapipe1)
+
+        # check contents of file match
+        for _, f in datapipe2:
+            self.assertEqual(f.read(), "0123456789abcdef")
+
+        # Reset Test: Ensure the resulting streams are still readable after the DataPipe is reset/exhausted
+        self._write_text_files()
+        lister_dp = FileLister(self.temp_dir.name, "*.text")
+        fsspec_file_loader_dp = FSSpecFileLoader(lister_dp, mode="rb")
+
+        n_elements_before_reset = 2
+        res_before_reset, res_after_reset = reset_after_n_next_calls(
+            fsspec_file_loader_dp, n_elements_before_reset
+        )
+        self.assertEqual(2, len(res_before_reset))
+        self.assertEqual(3, len(res_after_reset))
+        for _name, stream in res_before_reset:
+            self.assertEqual(b"DATA", stream.read())
+        for _name, stream in res_after_reset:
+            self.assertEqual(b"DATA", stream.read())
+
+    @skipIfNoFSSpec
+    def test_fsspec_saver_iterdatapipe(self):
+        def filepath_fn(name: str) -> str:
+            return "file://" + os.path.join(self.temp_dir.name, os.path.basename(name))
+
+        # Functional Test: Saving some data
+        name_to_data = {"1.txt": b"DATA1", "2.txt": b"DATA2", "3.txt": b"DATA3"}
+        source_dp = IterableWrapper(sorted(name_to_data.items()))
+        saver_dp = source_dp.save_by_fsspec(filepath_fn=filepath_fn, mode="wb")
+        res_file_paths = list(saver_dp)
+        expected_paths = [filepath_fn(name) for name in name_to_data.keys()]
+        self.assertEqual(expected_paths, res_file_paths)
+        for name in name_to_data.keys():
+            p = filepath_fn(name).split("://")[1]
+            with open(p, "r") as f:
+                self.assertEqual(name_to_data[name], f.read().encode())
+
+        # Reset Test:
+        saver_dp = FSSpecSaver(source_dp, filepath_fn=filepath_fn, mode="wb")
+        n_elements_before_reset = 2
+        res_before_reset, res_after_reset = reset_after_n_next_calls(
+            saver_dp, n_elements_before_reset
+        )
+        self.assertEqual([filepath_fn("1.txt"), filepath_fn("2.txt")], res_before_reset)
+        self.assertEqual(expected_paths, res_after_reset)
+        for name in name_to_data.keys():
+            p = filepath_fn(name).split("://")[1]
+            with open(p, "r") as f:
+                self.assertEqual(name_to_data[name], f.read().encode())
+
+        # __len__ Test: returns the length of source DataPipe
+        self.assertEqual(3, len(saver_dp))
+
+    @skipIfNoFSSpec
+    def test_fsspec_memory_list(self):
+        fs = fsspec.filesystem("memory")
+        fs.mkdir("foo")
+        fs.touch("foo/bar1")
+        fs.touch("foo/bar2")
+
+        datapipe = FSSpecFileLister(root="memory://foo")
+        self.assertEqual(set(datapipe), {"memory:///foo/bar1", "memory:///foo/bar2"})
+
+        datapipe = FSSpecFileLister(root="memory://foo/bar1")
+        self.assertEqual(set(datapipe), {"memory://foo/bar1"})
+
+    @skipIfNoFSSpec
+    def test_fsspec_memory_load(self):
+        fs = fsspec.filesystem("memory")
+        with fs.open("file", "w") as f:
+            f.write("hello")
+        with fs.open("file2", "w") as f:
+            f.write("hello2")
+
+        files = ["memory://file", "memory://file2"]
+        datapipe = FSSpecFileLoader(files)
+        self.assertEqual([f.read() for _, f in datapipe], ["hello", "hello2"])
+
+    @skipIfNoFSSpec
+    def test_fsspec_memory_save(self):
+        def filepath_fn(name: str) -> str:
+            return "memory://" + name
+
+        name_to_data = {"1.txt": b"DATA1", "2.txt": b"DATA2"}
+        source_dp = IterableWrapper(sorted(name_to_data.items()))
+        saver_dp = FSSpecSaver(source_dp, filepath_fn=filepath_fn, mode="wb")
+
+        self.assertEqual(set(saver_dp), {"memory://1.txt", "memory://2.txt"})
+
+
+if __name__ == "__main__":
+    unittest.main()

torchdata/datapipes/iter/__init__.py

@@ -31,6 +31,11 @@
     IoPathFileLoaderIterDataPipe as IoPathFileLoader,
     IoPathSaverIterDataPipe as IoPathSaver,
 )
+from torchdata.datapipes.iter.load.fsspec import (
+    FSSpecFileListerIterDataPipe as FSSpecFileLister,
+    FSSpecFileLoaderIterDataPipe as FSSpecFileLoader,
+    FSSpecSaverIterDataPipe as FSSpecSaver,
+)
 from torchdata.datapipes.iter.transform.bucketbatcher import BucketBatcherIterDataPipe as BucketBatcher
 from torchdata.datapipes.iter.util.cacheholder import (
     EndOnDiskCacheHolderIterDataPipe as EndOnDiskCacheHolder,

torchdata/datapipes/iter/load/fsspec.py

@@ -0,0 +1,141 @@
+# Copyright (c) Facebook, Inc. and its affiliates.
+import os
+import posixpath
+
+from typing import Any, Callable, Iterator, List, Optional, Tuple, Union
+
+from torch.utils.data.datapipes.utils.common import match_masks
+
+from torchdata.datapipes import functional_datapipe
+from torchdata.datapipes.iter import IterDataPipe
+from torchdata.datapipes.utils import StreamWrapper
+
+try:
+    import fsspec
+
+except ImportError:
+    fsspec = None
+
+U = Union[bytes, bytearray, str]
+
+
+def _assert_fsspec() -> None:
+    if fsspec is None:
+        raise ModuleNotFoundError(
+            "Package `fsspec` is required to be installed to use this datapipe."
+            "Please use `pip install fsspec` or `conda install -c conda-forge fsspec`"
+            "to install the package"
+        )
+
+
+class FSSpecFileListerIterDataPipe(IterDataPipe[str]):
+    r""":class:`FSSpecFileListerIterDataPipe`.
+
+    Iterable DataPipe to list the contents of the directory at the provided `root` pathname or url,
+    and yields the full pathname or url for each file within the directory.
+
+    Args:
+        root: The root fsspec path directory to list files from
+        masks: Unix style filter string or string list for filtering file name(s)
+    """
+
+    def __init__(
+        self,
+        root: str,
+        masks: Union[str, List[str]] = "",
+    ) -> None:
+        _assert_fsspec()
+
+        self.root: str = root
+        self.masks = masks
+
+    def __iter__(self) -> Iterator[str]:
+        fs, path = fsspec.core.url_to_fs(self.root)
+        is_local = fs.protocol == "file" or not self.root.startswith(fs.protocol)
+        if fs.isfile(path):
+            yield self.root
+        else:
+            for file_name in fs.ls(path):
+                if not match_masks(file_name, self.masks):
+                    continue
+
+                # ensure the file name has the full fsspec protocol path
+                if file_name.startswith(fs.protocol):
+                    yield file_name
+                else:
+                    if is_local:
+                        abs_path = os.path.join(path, file_name)
+                    else:
+                        abs_path = posixpath.join(path, file_name)
+
+                    if self.root.startswith(fs.protocol):
+                        yield fs.protocol + "://" + abs_path
+                    else:
+                        yield abs_path
+
+
+@functional_datapipe("load_file_by_fsspec")
+class FSSpecFileLoaderIterDataPipe(IterDataPipe[Tuple[str, StreamWrapper]]):
+    r""":class:`FSSpecFileLoaderIterDataPipe`.
+
+    Iterable DataPipe to open files from input datapipe which contains fsspec paths
+    and yields a tuple of pathname and opened file stream.
+
+    Args:
+        source_datapipe: Iterable DataPipe that provides the pathnames or urls
+        mode: An optional string that specifies the mode in which the file is opened ('r' by default)
+    """
+
+    def __init__(self, source_datapipe: IterDataPipe[str], mode: str = "r") -> None:
+        _assert_fsspec()
+
+        self.source_datapipe: IterDataPipe[str] = source_datapipe
+        self.mode: str = mode
+
+    def __iter__(self) -> Iterator[Tuple[str, StreamWrapper]]:
+        for file_uri in self.source_datapipe:
+            fs, path = fsspec.core.url_to_fs(file_uri)
+            file = fs.open(path, self.mode)
+            yield file_uri, StreamWrapper(file)
+
+    def __len__(self) -> int:
+        return len(self.source_datapipe)
+
+
+@functional_datapipe("save_by_fsspec")
+class FSSpecSaverIterDataPipe(IterDataPipe[str]):
+    r"""
+    Iterable DataPipe that takes in a DataPipe of tuples of metadata and data, saves the data
+    to the target path (generated by the filepath_fn and metadata), and yields the resulting fsspec
+    path
+
+    Args:
+        source_datapipe: Iterable DataPipe with tuples of metadata and data
+        mode: Mode in which the file will be opened for write the data ("w" by default)
+        filepath_fn: Function that takes in metadata nad returns the target path of the new file
+    """
+
+    def __init__(
+        self,
+        source_datapipe: IterDataPipe[Tuple[Any, U]],
+        mode: str = "w",
+        filepath_fn: Optional[Callable] = None,
+        *,
+        pathmgr=None,
+    ):
+        _assert_fsspec()
+
+        self.source_datapipe: IterDataPipe[Tuple[Any, U]] = source_datapipe
+        self.mode: str = mode
+        self.filepath_fn: Optional[Callable] = filepath_fn
+
+    def __iter__(self) -> Iterator[str]:
+        for meta, data in self.source_datapipe:
+            filepath = meta if self.filepath_fn is None else self.filepath_fn(meta)
+            fs, path = fsspec.core.url_to_fs(filepath)
+            with fs.open(path, self.mode) as f:
+                f.write(data)
+            yield filepath
+
+    def __len__(self) -> int:
+        return len(self.source_datapipe)