def test_load_spec_valid():
loader = datacraft.Loader(spec)
supplier = loader.get('foo')
assert supplier.next(0) == 'dog'
assert supplier.next(1) == 'cat'
assert supplier.next(2) == 'pig'
def test_load_spec_undefined_refs():
spec_undefined_refs = builder.spec_builder() \
.add_field('foo', builder.combine(['ONE', 'TWO'])) \
.build()
loader = datacraft.Loader(spec_undefined_refs)
with pytest.raises(datacraft.SpecException):
loader.get('foo')
def test_csv_valid_no_header_indexed_column():
spec = _build_csv_spec('status',
datafile="test_no_headers.csv",
headers=False)
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status')
assert supplier.next(0) == '100'
def test_shortcut_notation_config_in_key():
config_in_key_spec = {
'foo?prefix=TEST': [1, 2, 3, 4, 5]
}
loader = datacraft.Loader(config_in_key_spec)
supplier = loader.get('foo')
_verify_expected_values(supplier, 5, ['TEST1', 'TEST2', 'TEST3', 'TEST4', 'TEST5'])
def test_csv_valid_sample_mode_with_count():
spec = {
"status_desc:csv?datafile=test.csv&headers=true&column=2&sample=true&count=2":
{}
}
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status_desc')
assert len(supplier.next(0)) == 2
def test_csv_valid_sample_mode():
spec = {
"status_desc:csv?datafile=test.csv&headers=true&column=2&sample=true":
{}
}
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status_desc')
assert supplier.next(0) is not None
def test_csv_single_column():
# we don't specify the column number or name, so default is to expect single column of values
spec = {"user_agent:csv?datafile=single_column.csv&headers=false": {}}
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('user_agent')
expected = 'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.2) Gecko/20090803 Firefox/3.5.2 Slackware'
assert supplier.next(4) == expected
def test_load_ref_by_name():
refs_only_spec = builder.spec_builder() \
.add_ref('ONE', 'uno') \
.add_ref('TWO', 'dos') \
.build()
loader = datacraft.Loader(refs_only_spec)
assert loader.get('ONE').next(0) == 'uno'
assert loader.get('TWO').next(0) == 'dos'
def test_csv_valid_with_header_indexed_column():
spec = _build_csv_spec('status')
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status')
assert supplier.next(0) == '100'
# last entry
assert supplier.next(39) == '505'
# verify wrap around
assert supplier.next(40) == '100'
def test_load_spec_missing_type_defaults_to_values():
spec_missing_type = {
'foo': {
'data': ['one', 'two', 'tre']
}
}
loader = datacraft.Loader(spec_missing_type)
supplier = loader.get('foo')
assert supplier.next(0) == 'one'
assert supplier.next(1) == 'two'
assert supplier.next(2) == 'tre'
def test_csv_valid_sample_mode_with_count_as_list():
spec = {
"status_desc:csv?datafile=test.csv&headers=true&column=2&sample=true":
{
"config": {
"count": [4, 3, 2]
}
}
}
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status_desc')
assert len(supplier.next(0)) == 4
assert len(supplier.next(1)) == 3
assert len(supplier.next(2)) == 2
def test_load_spec_weighted_ref():
ref_weights = {
"POSITIVE": 0.5,
"NEGATIVE": 0.4,
"NEUTRAL": 0.1
}
weighted_ref = builder.spec_builder() \
.add_field('foo', builder.weighted_ref(ref_weights)) \
.add_ref('POSITIVE', ['yes']) \
.add_ref('NEGATIVE', ['no']) \
.add_ref('NEUTRAL', ['meh']) \
.build()
loader = datacraft.Loader(weighted_ref)
supplier = loader.get('foo')
# expect mostly positive and negative values
data = [supplier.next(i) for i in range(0, 100)]
counter = Counter(data)
# get the top two most common entries, which should be yes and no
most_common_keys = [item[0] for item in counter.most_common(2)]
assert 'yes' in most_common_keys
assert 'no' in most_common_keys
def test_csv_valid_with_header_field_name_column_shorthand():
spec = {"status_desc:csv?datafile=test.csv&headers=true&column=2": {}}
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status_desc')
assert supplier.next(0) == 'Continue'
def test_csv_valid_with_header_field_name_column():
spec = _build_csv_spec('status', column="status")
loader = datacraft.Loader(spec, data_dir=test_dir)
supplier = loader.get('status')
assert supplier.next(0) == '100'
def test_load_spec_invalid_key():
loader = datacraft.Loader(spec)
with pytest.raises(datacraft.SpecException):
loader.get('unknown')