def test_generator(self):
from ambry_sources.sources import GeneratorSource, SourceSpec
from ambry_sources import head, tail
cache_fs = fsopendir(self.setup_temp_dir())
def gen():
yield list('abcde')
for i in range(10):
yield [i, i + 1, i + 2, i + 3, i + 4]
f = HDFPartition(cache_fs, 'foobar')
s = GeneratorSource(SourceSpec('foobar'), gen())
ri = RowIntuiter().run(head(s, 100), tail(s, 100))
row_spec = self._row_intuiter_to_dict(ri)
ti = TypeIntuiter().process_header(ri.headers).run(GeneratorSource(SourceSpec('foobar'), gen()))
with f.writer as w:
w.set_row_spec(row_spec, ri.headers)
w.set_types(ti)
f.load_rows(GeneratorSource(SourceSpec('foobar'), gen()))
self.assertEqual(f.headers, list('abcde'))
rows = []
for row in f.select():
rows.append(row.dict)
self.assertEqual(len(rows), 10)
self.assertEqual(rows[0], {'a': 0, 'b': 1, 'c': 2, 'd': 3, 'e': 4})
self.assertEqual(rows[-1], {'a': 9, 'b': 10, 'c': 11, 'd': 12, 'e': 13})
def test_fixed(self):
from ambry_sources import head, tail
cache_fs = fsopendir(self.setup_temp_dir())
spec = self.sources['simple_fixed']
assert spec.has_rowspec is False
s = get_source(spec, cache_fs, callback=lambda x, y: (x, y))
# prepare HDFPartition.
f = HDFPartition(cache_fs, spec.name)
ri = RowIntuiter().run(head(s, 100), tail(s, 100))
row_spec = self._row_intuiter_to_dict(ri)
ti = TypeIntuiter().process_header(ri.headers).run(s)
with f.writer as w:
w.set_row_spec(row_spec, ri.headers)
w.set_types(ti)
f.load_rows(s)
self.assertEqual(f.headers, ['id', 'uuid', 'int', 'float'])
def test_stats(self):
"""Check that the sources can be loaded and analyzed without exceptions and that the
guesses for headers and start are as expected"""
from ambry_sources import head, tail
cache_fs = fsopendir('temp://')
source = get_source(self.sources['simple_stats'], cache_fs, callback=lambda x, y: (x, y))
f = HDFPartition(cache_fs, source.spec.name)
with f.writer as w:
ri = RowIntuiter().run(head(source, 100), tail(source, 100))
row_spec = self._row_intuiter_to_dict(ri)
ti = TypeIntuiter().process_header(ri.headers).run(source)
w.set_row_spec(row_spec, ri.headers)
w.set_types(ti)
f.load_rows(source, run_stats=True)
expected = {
u('str_a'): (30, None, None, None, 10),
u('str_b'): (30, None, None, None, 10),
u('float_a'): (30, 1.0, 5.5, 10.0, 10),
u('float_b'): (30, 1.1, 5.5, 9.9, 10),
u('float_c'): (30, 1.1, 5.5, 9.9, 10),
u('int_b'): (30, 1.0, 5.0, 9.0, 10),
u('int_a'): (30, 1.0, 5.5, 10.0, 10)}
with f.reader as r:
for col in r.columns:
stats = (col.stat_count, col.min, round(col.mean, 1) if col.mean else None,
col.max,
col.nuniques)
for a, b in zip(expected[col.name], stats):
self.assertEqual(
a, b,
'Saved stat ({}) does not match to expected ({}) for {}'.format(a, b, col.name))
def test_load_and_headers(self):
""" Just checks that all of the sources can be loaded without exceptions. """
from ambry_sources import head, tail
cache_fs = fsopendir('temp://')
source_headers = {
'mz_with_zip_xl': [
u('id'), u('gvid'), u('renter_cost_gt_30'), u('renter_cost_gt_30_cv'),
u('owner_cost_gt_30_pct'), u('owner_cost_gt_30_pct_cv')],
'mz_no_zip': [u('id'), u('uuid'), u('int'), u('float')],
'namesu8': [u('origin_english'), u('name_english'), u('origin_native'), u('name_native')],
'sf_zip': [u('id'), u('uuid'), u('int'), u('float')],
'simple': [u('id'), u('uuid'), u('int'), u('float')],
'csv_no_csv': [u('id'), u('uuid'), u('int'), u('float')],
'mz_with_zip': [u('id'), u('uuid'), u('int'), u('float')],
'rpeople': [u('name'), u('size')],
'rent07': [
u('id'), u('gvid'), u('renter_cost_gt_30'), u('renter_cost_gt_30_cv'),
u('owner_cost_gt_30_pct'), u('owner_cost_gt_30_pct_cv')],
'simple_fixed': [u('id'), u('uuid'), u('int'), u('float')],
'altname': [u('id'), u('foo'), u('bar'), u('baz')],
'rentcsv': [
u('id'), u('gvid'), u('renter_cost_gt_30'), u('renter_cost_gt_30_cv'),
u('owner_cost_gt_30_pct'), u('owner_cost_gt_30_pct_cv')],
'renttab': [
u('id'), u('gvid'), u('renter_cost_gt_30'), u('renter_cost_gt_30_cv'),
u('owner_cost_gt_30_pct'), u('owner_cost_gt_30_pct_cv')],
'multiexcel': [
u('id'), u('gvid'), u('renter_cost_gt_30'), u('renter_cost_gt_30_cv'),
u('owner_cost_gt_30_pct'), u('owner_cost_gt_30_pct_cv')],
'rent97': [
u('id'), u('gvid'), u('renter_cost_gt_30'), u('renter_cost_gt_30_cv'),
u('owner_cost_gt_30_pct'), u('owner_cost_gt_30_pct_cv')]
}
for source_name, spec in self.sources.items():
s = get_source(spec, cache_fs, callback=lambda x, y: (x, y))
f = HDFPartition(cache_fs, spec.name)
if f.exists:
f.remove()
# FIXME: This is really complicated setup for HDFPartition file. Try to simplify.
with f.writer as w:
if spec.has_rowspec:
row_spec = self._spec_to_dict(spec)
headers = self._get_headers(s, spec)
ti = TypeIntuiter().process_header(headers).run(s)
w.set_row_spec(row_spec, headers)
w.set_types(ti)
else:
ri = RowIntuiter().run(head(s, 20), tail(s, 20), w.n_rows)
row_spec = self._row_intuiter_to_dict(ri)
ti = TypeIntuiter().process_header(ri.headers).run(s)
w.set_row_spec(row_spec, ri.headers)
w.set_types(ti)
f.load_rows(s)
with f.reader as r:
if spec.name in source_headers:
self.assertEqual(source_headers[spec.name], r.headers)