s3fs FileNotFoundError - amazon-s3

Question

I am only able to gain limited/top-level access to my aws s3. I can see the buckets, but not their contents; neither subfolders nor files. I'm running everything from inside a conda environment. I've tried accessing files in private and public buckets without success. What am I doing wrong?
This block of code works as expected
>>> import s3fs
>>> AKEY = 'XXXX'
>>> SKEY = 'XXXX'
>>> fs = s3fs.S3FileSystem(key=AKEY,secret=SKEY)
>>> fs.ls('s3://')
['my-bucket-1',
'my-bucket-2',
'my-bucket-3']
This block doesn't
>>> fs.ls('s3://my-bucket-1')
[]
what I expect
>>> fs.ls('s3://my-bucket-1')
['my-bucket-1/test.txt',
'my-bucket-1/test.csv']
When I try to open a file I get a FileNotFoundError
import pandas as pd
pd.read_csv(
's3://my-bucket-1/test.csv',
storage_options={'key':AKEY,'secret':SKEY}
)
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[8], line 2
1 import pandas as pd
----> 2 pd.read_csv(
3 's3://my-bucket-1/test.csv'',
4 storage_options={'key':AKEY,'secret':SKEY}
5 )
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\util\_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
209 else:
210 kwargs[new_arg_name] = new_arg_value
--> 211 return func(*args, **kwargs)
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\util\_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
325 if len(args) > num_allow_args:
326 warnings.warn(
327 msg.format(arguments=_format_argument_list(allow_args)),
328 FutureWarning,
329 stacklevel=find_stack_level(),
330 )
--> 331 return func(*args, **kwargs)
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\io\parsers\readers.py:950, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
935 kwds_defaults = _refine_defaults_read(
936 dialect,
937 delimiter,
(...)
946 defaults={"delimiter": ","},
947 )
948 kwds.update(kwds_defaults)
--> 950 return _read(filepath_or_buffer, kwds)
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\io\parsers\readers.py:605, in _read(filepath_or_buffer, kwds)
602 _validate_names(kwds.get("names", None))
604 # Create the parser.
--> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
607 if chunksize or iterator:
608 return parser
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\io\parsers\readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
1439 self.options["has_index_names"] = kwds["has_index_names"]
1441 self.handles: IOHandles | None = None
-> 1442 self._engine = self._make_engine(f, self.engine)
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\io\parsers\readers.py:1735, in TextFileReader._make_engine(self, f, engine)
1733 if "b" not in mode:
1734 mode += "b"
-> 1735 self.handles = get_handle(
1736 f,
1737 mode,
1738 encoding=self.options.get("encoding", None),
1739 compression=self.options.get("compression", None),
1740 memory_map=self.options.get("memory_map", False),
1741 is_text=is_text,
1742 errors=self.options.get("encoding_errors", "strict"),
1743 storage_options=self.options.get("storage_options", None),
1744 )
1745 assert self.handles is not None
1746 f = self.handles.handle
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\io\common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
710 codecs.lookup_error(errors)
712 # open URLs
--> 713 ioargs = _get_filepath_or_buffer(
714 path_or_buf,
715 encoding=encoding,
716 compression=compression,
717 mode=mode,
718 storage_options=storage_options,
719 )
721 handle = ioargs.filepath_or_buffer
722 handles: list[BaseBuffer]
File ~\anaconda3\envs\env-2\lib\site-packages\pandas\io\common.py:409, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
406 pass
408 try:
--> 409 file_obj = fsspec.open(
410 filepath_or_buffer, mode=fsspec_mode, **(storage_options or {})
411 ).open()
412 # GH 34626 Reads from Public Buckets without Credentials needs anon=True
413 except tuple(err_types_to_retry_with_anon):
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\core.py:135, in OpenFile.open(self)
128 def open(self):
129 """Materialise this as a real open file without context
130
131 The OpenFile object should be explicitly closed to avoid enclosed file
132 instances persisting. You must, therefore, keep a reference to the OpenFile
133 during the life of the file-like it generates.
134 """
--> 135 return self.__enter__()
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\core.py:103, in OpenFile.__enter__(self)
100 def __enter__(self):
101 mode = self.mode.replace("t", "").replace("b", "") + "b"
--> 103 f = self.fs.open(self.path, mode=mode)
105 self.fobjects = [f]
107 if self.compression is not None:
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\spec.py:1106, in AbstractFileSystem.open(self, path, mode, block_size, cache_options, compression, **kwargs)
1104 else:
1105 ac = kwargs.pop("autocommit", not self._intrans)
-> 1106 f = self._open(
1107 path,
1108 mode=mode,
1109 block_size=block_size,
1110 autocommit=ac,
1111 cache_options=cache_options,
1112 **kwargs,
1113 )
1114 if compression is not None:
1115 from fsspec.compression import compr
File ~\anaconda3\envs\env-2\lib\site-packages\s3fs\core.py:640, in S3FileSystem._open(self, path, mode, block_size, acl, version_id, fill_cache, cache_type, autocommit, requester_pays, cache_options, **kwargs)
637 if cache_type is None:
638 cache_type = self.default_cache_type
--> 640 return S3File(
641 self,
642 path,
643 mode,
644 block_size=block_size,
645 acl=acl,
646 version_id=version_id,
647 fill_cache=fill_cache,
648 s3_additional_kwargs=kw,
649 cache_type=cache_type,
650 autocommit=autocommit,
651 requester_pays=requester_pays,
652 cache_options=cache_options,
653 )
File ~\anaconda3\envs\env-2\lib\site-packages\s3fs\core.py:1989, in S3File.__init__(self, s3, path, mode, block_size, acl, version_id, fill_cache, s3_additional_kwargs, autocommit, cache_type, requester_pays, cache_options)
1987 self.details = s3.info(path)
1988 self.version_id = self.details.get("VersionId")
-> 1989 super().__init__(
1990 s3,
1991 path,
1992 mode,
1993 block_size,
1994 autocommit=autocommit,
1995 cache_type=cache_type,
1996 cache_options=cache_options,
1997 )
1998 self.s3 = self.fs # compatibility
2000 # when not using autocommit we want to have transactional state to manage
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\spec.py:1462, in AbstractBufferedFile.__init__(self, fs, path, mode, block_size, autocommit, cache_type, cache_options, size, **kwargs)
1460 self.size = size
1461 else:
-> 1462 self.size = self.details["size"]
1463 self.cache = caches[cache_type](
1464 self.blocksize, self._fetch_range, self.size, **cache_options
1465 )
1466 else:
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\spec.py:1475, in AbstractBufferedFile.details(self)
1472 #property
1473 def details(self):
1474 if self._details is None:
-> 1475 self._details = self.fs.info(self.path)
1476 return self._details
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\asyn.py:113, in sync_wrapper.<locals>.wrapper(*args, **kwargs)
110 #functools.wraps(func)
111 def wrapper(*args, **kwargs):
112 self = obj or args[0]
--> 113 return sync(self.loop, func, *args, **kwargs)
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\asyn.py:98, in sync(loop, func, timeout, *args, **kwargs)
96 raise FSTimeoutError from return_result
97 elif isinstance(return_result, BaseException):
---> 98 raise return_result
99 else:
100 return return_result
File ~\anaconda3\envs\env-2\lib\site-packages\fsspec\asyn.py:53, in _runner(event, coro, result, timeout)
51 coro = asyncio.wait_for(coro, timeout=timeout)
52 try:
---> 53 result[0] = await coro
54 except Exception as ex:
55 result[0] = ex
File ~\anaconda3\envs\env-2\lib\site-packages\s3fs\core.py:1257, in S3FileSystem._info(self, path, bucket, key, refresh, version_id)
1245 if (
1246 out.get("KeyCount", 0) > 0
1247 or out.get("Contents", [])
1248 or out.get("CommonPrefixes", [])
1249 ):
1250 return {
1251 "name": "/".join([bucket, key]),
1252 "type": "directory",
1253 "size": 0,
1254 "StorageClass": "DIRECTORY",
1255 }
-> 1257 raise FileNotFoundError(path)
1258 except ClientError as e:
1259 raise translate_boto_error(e, set_cause=False)
FileNotFoundError: my-bucket-1/test.csv
s3fs-2022.11.0, aiobotocore-2.4.0, botocore-1.27.59
fs = s3fs.S3FileSystem(anon=True)
fs.ls('s3://dask-data/nyc-taxi/2015')
ParseError

Answer 1

Check the bucket policy / IAM role that gives you permissions to access the bucket. It should have /* after the name of the resource:
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::my-bucket-1/*"
to allow you access the objects in the bucket, not just the bucket itself.

Answer 2

Have you tried boto3? s3fs is no longer supported.