def read_woodwork_table(path, profile_name=None, validate=False, **kwargs):
"""Read Woodwork table from disk, S3 path, or URL.
Args:
path (str): Directory on disk, S3 path, or URL to read `woodwork_typing_info.json`.
profile_name (str, bool): The AWS profile specified to write to S3. Will default to None and search for AWS credentials.
Set to False to use an anonymous profile.
validate (bool, optional): Whether parameter and data validation should occur when initializing Woodwork dataframe
during deserialization. Defaults to False. Note: If serialized data was modified outside of Woodwork and you
are unsure of the validity of the data or typing information, `validate` should be set to True.
kwargs (keywords): Additional keyword arguments to pass as keyword arguments to the underlying deserialization method.
Returns:
DataFrame: DataFrame with Woodwork typing information initialized.
"""
if _is_url(path) or _is_s3(path):
with tempfile.TemporaryDirectory() as tmpdir:
file_name = Path(path).name
file_path = os.path.join(tmpdir, file_name)
transport_params = None
if _is_s3(path):
transport_params = get_transport_params(profile_name)
use_smartopen(file_path, path, transport_params)
with tarfile.open(str(file_path)) as tar:
tar.extractall(path=tmpdir)
table_typing_info = read_table_typing_information(tmpdir)
return _typing_information_to_woodwork_table(
table_typing_info, validate, **kwargs)
else:
table_typing_info = read_table_typing_information(path)
return _typing_information_to_woodwork_table(table_typing_info,
validate, **kwargs)
def write_woodwork_table(dataframe, path, profile_name=None, **kwargs):
"""Serialize Woodwork table and write to disk or S3 path.
Args:
dataframe (pd.DataFrame, dd.DataFrame, ks.DataFrame): DataFrame with Woodwork typing information initialized.
path (str) : Location on disk to write the Woodwork table.
profile_name (str, bool): The AWS profile specified to write to S3. Will default to None and search for AWS credentials.
Set to False to use an anonymous profile.
kwargs (keywords) : Additional keyword arguments to pass as keywords arguments to the underlying serialization method or to specify AWS profile.
"""
if _is_s3(path):
with tempfile.TemporaryDirectory() as tmpdir:
os.makedirs(os.path.join(tmpdir, 'data'))
_dump_table(dataframe, tmpdir, **kwargs)
file_path = _create_archive(tmpdir)
transport_params = get_transport_params(profile_name)
use_smartopen(file_path,
path,
read=False,
transport_params=transport_params)
elif _is_url(path):
raise ValueError("Writing to URLs is not supported")
else:
path = os.path.abspath(path)
os.makedirs(os.path.join(path, 'data'), exist_ok=True)
_dump_table(dataframe, path, **kwargs)
def read_datatable(path, profile_name=None, **kwargs):
'''Read DataTable from disk, S3 path, or URL.
Args:
path (str): Directory on disk, S3 path, or URL to read `table_description.json`.
profile_name (str, bool): The AWS profile specified to write to S3. Will default to None and search for AWS credentials.
Set to False to use an anonymous profile.
kwargs (keywords): Additional keyword arguments to pass as keyword arguments to the underlying deserialization method.
'''
if _is_url(path) or _is_s3(path):
with tempfile.TemporaryDirectory() as tmpdir:
file_name = Path(path).name
file_path = os.path.join(tmpdir, file_name)
transport_params = None
if _is_s3(path):
transport_params = get_transport_params(profile_name)
use_smartopen(file_path, path, transport_params)
with tarfile.open(str(file_path)) as tar:
tar.extractall(path=tmpdir)
table_description = read_table_description(tmpdir)
return description_to_datatable(table_description, **kwargs)
else:
table_description = read_table_description(path)
return description_to_datatable(table_description, **kwargs)
def write_datatable(datatable, path, profile_name=None, **kwargs):
'''Serialize datatable and write to disk or S3 path.
Args:
datatable (DataTable) : Instance of :class:`.DataTable`.
path (str) : Location on disk to write datatable data and description.
profile_name (str, bool): The AWS profile specified to write to S3. Will default to None and search for AWS credentials.
Set to False to use an anonymous profile.
kwargs (keywords) : Additional keyword arguments to pass as keywords arguments to the underlying serialization method or to specify AWS profile.
'''
if _is_s3(path):
with tempfile.TemporaryDirectory() as tmpdir:
os.makedirs(os.path.join(tmpdir, 'data'))
dump_table(datatable, tmpdir, **kwargs)
file_path = create_archive(tmpdir)
transport_params = get_transport_params(profile_name)
use_smartopen(file_path,
path,
read=False,
transport_params=transport_params)
elif _is_url(path):
raise ValueError("Writing to URLs is not supported")
else:
path = os.path.abspath(path)
os.makedirs(os.path.join(path, 'data'), exist_ok=True)
dump_table(datatable, path, **kwargs)
def configure_deserializer(self):
"""Extract info from typing information required to read data and initialize Woodwork"""
_check_schema_version(self.typing_info["schema_version"])
loading_info = self.typing_info["loading_info"]
if not (_is_s3(self.path) or _is_url(self.path)):
path = self.typing_info["path"]
self.read_path = os.path.join(path, loading_info["location"])
self.kwargs = loading_info.get("params", {})
self._set_init_dict(loading_info)
def deserialize(self, profile_name, validate):
"""Reconstruct Woodwork dataframe from saved data and typing information"""
self.configure_deserializer()
if _is_url(self.path) or _is_s3(self.path):
dataframe = self.read_from_s3(profile_name)
else:
dataframe = self.read_from_local_path()
dataframe.ww.init(**self.ww_init_dict, validate=validate)
return dataframe
def serialize(self, dataframe, profile_name, **kwargs):
"""Serialize data and typing information to disk."""
self.dataframe = dataframe
self.typing_info = typing_info_to_dict(self.dataframe)
if _is_s3(self.path):
self.save_to_s3(profile_name)
elif _is_url(self.path):
raise ValueError("Writing to URLs is not supported")
else:
self.write_path = os.path.abspath(self.path)
self.save_to_local_path()
def deserialize(self, profile_name, validate):
if _is_url(self.path) or _is_s3(self.path):
dataframe = self.read_from_s3(profile_name)
else:
if self.data_subdirectory:
self.path = os.path.join(self.path, self.data_subdirectory)
self.read_path = self.path
if self.filename:
self.read_path = os.path.join(self.path, self.filename)
dataframe = self.read_from_local_path()
dataframe.ww.init(**self.ww_init_dict, validate=validate)
return dataframe
def read_table_typing_information(path, typing_info_filename, profile_name):
"""Read Woodwork typing information from disk, S3 path, or URL.
Args:
path (str): Location on disk, S3 path, or URL to read typing info file.
typing_info_filename (str): Name of JSON file in which typing info is stored.
profile_name (str, bool): The AWS profile specified to access to S3.
Returns:
dict: Woodwork typing information dictionary
"""
if _is_url(path) or _is_s3(path):
with tempfile.TemporaryDirectory() as tmpdir:
file_name = Path(path).name
file_path = os.path.join(tmpdir, file_name)
transport_params = None
if _is_s3(path):
transport_params = get_transport_params(profile_name)
use_smartopen(file_path, path, transport_params)
with tarfile.open(str(file_path)) as tar:
tar.extractall(path=tmpdir)
file = os.path.join(tmpdir, typing_info_filename)
with open(file, "r") as file:
typing_info = json.load(file)
else:
path = os.path.abspath(path)
assert os.path.exists(path), '"{}" does not exist'.format(path)
file = os.path.join(path, typing_info_filename)
with open(file, "r") as file:
typing_info = json.load(file)
typing_info["path"] = path
return typing_info
def test_is_url():
assert _is_url("https://www.google.com/")
assert not _is_url("google.com")
def test_is_url():
assert _is_url('https://www.google.com/')
assert not _is_url('google.com')