def test_raises_indexerror_when_a_schema_column_does_not_exist(
self, archive_meta_params: Tuple[str, str, SortedDict],
archive_dir: LocalPath):
bad_column = "non_existent_column"
filename: str
expectedfilename: str
schema: SortedDict
filename, expectedfilename, schema = archive_meta_params
# Add a bad column.
local_schema = schema.copy()
local_schema["%d" % len(local_schema)] = bad_column
datafile = os.path.join(get_data_path(), filename + ".csv")
metafile = os.path.join(get_data_path(), filename + ".meta")
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
syphon.init(local_schema, schemafile)
with pytest.raises(IndexError, match=bad_column):
syphon.archive(
archive_dir,
[datafile],
meta_files=[metafile],
schema_filepath=schemafile,
overwrite=True,
)
assert not os.path.exists(
os.path.join(os.path.dirname(datafile), "#lock"))
def test_raises_fileexistserror_on_existing_archive_file(
self, archive_params: Tuple[str, SortedDict],
archive_dir: LocalPath):
filename: str
schema: SortedDict
filename, schema = archive_params
datafile = os.path.join(get_data_path(), filename)
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
syphon.init(schema, schemafile)
expected_df = DataFrame(read_csv(datafile, dtype=str))
expected_paths: SortedList = _get_expected_paths(
archive_dir, schema, expected_df, filename)
for e in expected_paths:
os.makedirs(os.path.dirname(e), exist_ok=True)
with open(e, mode="w") as f:
f.write(rand_string())
with pytest.raises(FileExistsError, match=os.path.basename(datafile)):
syphon.archive(archive_dir, [datafile],
schema_filepath=schemafile,
overwrite=False)
assert not os.path.exists(
os.path.join(os.path.dirname(datafile), "#lock"))
def test_without_metadata_with_schema(
self,
capsys: CaptureFixture,
archive_params: Tuple[str, SortedDict],
archive_dir: LocalPath,
overwrite: bool,
verbose: bool,
):
filename: str
schema: SortedDict
filename, schema = archive_params
datafile = os.path.join(get_data_path(), filename)
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
syphon.init(schema, schemafile)
expected_df = DataFrame(read_csv(datafile, dtype=str))
expected_df.sort_values(list(expected_df.columns), inplace=True)
expected_df.reset_index(drop=True, inplace=True)
expected_paths: SortedList = _get_expected_paths(
archive_dir, schema, expected_df, filename)
if overwrite:
for e in expected_paths:
os.makedirs(os.path.dirname(e), exist_ok=True)
with open(e, mode="w") as fd:
fd.write(rand_string())
assert syphon.archive(
archive_dir,
[datafile],
schema_filepath=schemafile,
overwrite=overwrite,
verbose=verbose,
)
assert not os.path.exists(
os.path.join(os.path.dirname(datafile), "#lock"))
actual_frame = DataFrame()
actual_paths = SortedList()
for root, _, files in os.walk(archive_dir):
for f in files:
if ".csv" in f:
filepath: str = os.path.join(root, f)
actual_paths.add(filepath)
actual_frame = concat([
actual_frame,
DataFrame(read_csv(filepath, dtype=str))
])
actual_frame.sort_values(list(actual_frame.columns), inplace=True)
actual_frame.reset_index(drop=True, inplace=True)
assert expected_paths == actual_paths
assert_frame_equal(expected_df, actual_frame)
assert_captured_outerr(capsys.readouterr(), verbose, False)
def test_init_fileexistserror(archive_dir: LocalPath,
init_schema_fixture: SortedDict):
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
with open(schemafile, mode="w") as f:
f.write("content")
with pytest.raises(FileExistsError):
syphon.init(init_schema_fixture, schemafile, overwrite=False)
def test_init(
capsys: CaptureFixture,
archive_dir: LocalPath,
init_schema_fixture: SortedDict,
overwrite: bool,
verbose: bool,
):
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
syphon.init(init_schema_fixture, schemafile, overwrite, verbose)
with open(schemafile, "r") as f:
actual = SortedDict(loads(f.read()))
assert actual == init_schema_fixture
assert_captured_outerr(capsys.readouterr(), verbose, False)
def test_incremental_fails_when_check_fails(
capsys: CaptureFixture,
schema: bool,
archive_dir: LocalPath,
cache_file: LocalPath,
hash_file: Optional[LocalPath],
post_hash: bool,
verbose: bool,
):
datafile: str = os.path.join(get_data_path(), "iris.csv")
schema = SortedDict({"0": "Name"})
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
if schema:
syphon.init(schema, schemafile)
assert syphon.archive(archive_dir, [datafile],
schema_filepath=schemafile if schema else None)
assert not os.path.exists(os.path.join(get_data_path(), "#lock"))
expected_frame = DataFrame(
read_csv(datafile, dtype=str, index_col="Index"))
expected_frame.sort_index(inplace=True)
LocalPath(datafile).copy(cache_file)
assert os.path.exists(cache_file)
# "check" ought to fail when the hash file does not exist.
assert not syphon.check(cache_file, hash_filepath=hash_file)
# If "check" fails, then the incremental build fails.
assert not syphon.build(
cache_file,
*get_data_files(archive_dir),
hash_filepath=hash_file,
incremental=True,
overwrite=True,
post_hash=post_hash,
verbose=verbose,
)
assert_post_hash(False, cache_file, hash_filepath=hash_file)
actual_frame = DataFrame(
read_csv(cache_file, dtype=str, index_col="Index"))
actual_frame.sort_index(inplace=True)
assert_frame_equal(expected_frame, actual_frame, check_exact=True)
assert_captured_outerr(capsys.readouterr(), verbose, False)
def test_full_build_with_schema_maintains_data_fidelity(
capsys: CaptureFixture,
archive_dir: LocalPath,
cache_file: LocalPath,
hash_file: Optional[LocalPath],
overwrite: bool,
post_hash: bool,
verbose: bool,
):
datafile: str = os.path.join(get_data_path(), "iris.csv")
schema = SortedDict({"0": "Name"})
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
syphon.init(schema, schemafile, overwrite=overwrite)
assert syphon.archive(archive_dir, [datafile],
schema_filepath=schemafile,
overwrite=overwrite)
assert not os.path.exists(os.path.join(get_data_path(), "#lock"))
expected_frame = DataFrame(
read_csv(datafile, dtype=str, index_col="Index"))
expected_frame.sort_index(inplace=True)
if overwrite:
cache_file.write(rand_string())
assert syphon.build(
cache_file,
*get_data_files(archive_dir),
hash_filepath=hash_file,
incremental=False,
overwrite=overwrite,
post_hash=post_hash,
verbose=verbose,
)
assert_post_hash(post_hash, cache_file, hash_filepath=hash_file)
actual_frame = DataFrame(
read_csv(cache_file, dtype=str, index_col="Index"))
actual_frame.sort_index(inplace=True)
assert_frame_equal(expected_frame, actual_frame, check_exact=True)
assert_captured_outerr(capsys.readouterr(), verbose, False)
def test_incremental_becomes_full_build_when_cache_does_not_exist(
capsys: CaptureFixture,
schema: bool,
archive_dir: LocalPath,
cache_file: LocalPath,
hash_file: Optional[LocalPath],
post_hash: bool,
verbose: bool,
):
datafile: str = os.path.join(get_data_path(), "iris.csv")
schema = SortedDict({"0": "Name"})
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
if schema:
syphon.init(schema, schemafile)
assert syphon.archive(archive_dir, [datafile],
schema_filepath=schemafile if schema else None)
assert not os.path.exists(os.path.join(get_data_path(), "#lock"))
expected_frame = DataFrame(
read_csv(datafile, dtype=str, index_col="Index"))
expected_frame.sort_index(inplace=True)
# Raises a FileExistsError unless a full build is performed.
assert syphon.build(
cache_file,
*get_data_files(archive_dir),
hash_filepath=hash_file,
incremental=True,
post_hash=post_hash,
verbose=verbose,
)
assert_post_hash(post_hash, cache_file, hash_filepath=hash_file)
actual_frame = DataFrame(
read_csv(cache_file, dtype=str, index_col="Index"))
actual_frame.sort_index(inplace=True)
assert_frame_equal(expected_frame, actual_frame, check_exact=True)
assert_captured_outerr(capsys.readouterr(), verbose, False)
def test_raises_valueerror_when_metadata_is_inconsistent(
self,
archive_meta_params: Tuple[str, str, SortedDict],
archive_dir: LocalPath,
import_dir: LocalPath,
):
filename: str
expectedfilename: str
schema: SortedDict
filename, expectedfilename, schema = archive_meta_params
datafile = os.path.join(get_data_path(), filename + ".csv")
bad_metafile = LocalPath(
os.path.join(get_data_path(), filename + "-inconsistent.meta"))
metafile = import_dir.join(filename + ".meta")
bad_metafile.copy(metafile)
schemafile = os.path.join(archive_dir, syphon.schema.DEFAULT_FILE)
syphon.init(schema, schemafile)
# Find the column that will be in the message.
metaframe = DataFrame(read_csv(metafile, dtype=str))
column: Optional[str] = None
for column in metaframe.columns:
if len(metaframe[column].drop_duplicates().values) > 1:
break
del metaframe
assert column is not None
with pytest.raises(ValueError, match=column):
syphon.archive(
archive_dir,
[datafile],
meta_files=[metafile],
schema_filepath=schemafile,
overwrite=True,
)
assert not os.path.exists(
os.path.join(os.path.dirname(datafile), "#lock"))
def test_increment_without_metadata_with_schema(
self,
capsys: CaptureFixture,
archive_dir: LocalPath,
archive_fixture: "TestArchive.ArchiveCacheAndHashPassthruChecker",
schema_file: Optional[LocalPath],
verbose: bool,
):
# List of (expected frame filename, data filename) tuples
targets: List[Tuple[str, str]] = [
("iris-part-1-of-6-combined.csv", "iris-part-1-of-6-combined.csv"),
("iris-part-1-2.csv", "iris-part-2-of-6-combined.csv"),
("iris-part-1-2-3.csv", "iris-part-3-of-6-combined.csv"),
("iris-part-1-2-3-4.csv", "iris-part-4-of-6-combined.csv"),
("iris-part-1-2-3-4-5.csv", "iris-part-5-of-6-combined.csv"),
("iris_plus.csv", "iris-part-6-of-6-combined.csv"),
]
expected_hashfile = (
LocalPath(archive_fixture.cache_file).dirpath(DEFAULT_HASH_FILE) if
archive_fixture.hash_file is None else archive_fixture.hash_file)
assert not os.path.exists(expected_hashfile)
assert not os.path.exists(archive_fixture.cache_file)
assert len(archive_dir.listdir()) == 0
expected_schemafile = (archive_dir.join(syphon.schema.DEFAULT_FILE)
if schema_file is None else schema_file)
assert not os.path.exists(expected_schemafile)
syphon.init(SortedDict({
"0": "PetalColor",
"1": "Species"
}), expected_schemafile)
assert os.path.exists(expected_schemafile)
for expected_frame_filename, data_filename in targets:
assert archive_fixture(
archive_dir,
[os.path.join(get_data_path(), data_filename)],
schema_filepath=schema_file,
cache_filepath=archive_fixture.cache_file,
hash_filepath=archive_fixture.hash_file,
verbose=verbose,
)
assert_captured_outerr(capsys.readouterr(), verbose, False)
expected_frame = DataFrame(
read_csv(
os.path.join(get_data_path(), expected_frame_filename),
dtype=str,
index_col="Index",
))
expected_frame.sort_index(inplace=True)
actual_frame = DataFrame(
read_csv(str(archive_fixture.cache_file),
dtype=str,
index_col="Index"))
actual_frame.sort_index(inplace=True)
assert_captured_outerr(capsys.readouterr(), False, False)
assert_frame_equal(expected_frame, actual_frame)
assert os.path.exists(expected_hashfile)
assert syphon.check(
archive_fixture.cache_file,
hash_filepath=expected_hashfile,
verbose=verbose,
)