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Import Documents: Read metas as the right type #677

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Jul 21, 2021
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23 changes: 17 additions & 6 deletions orangecontrib/text/import_documents.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import contextlib
import datetime
import fnmatch
import logging
import os
Expand Down Expand Up @@ -29,8 +30,10 @@

import serverfiles

from Orange.data import DiscreteVariable, Domain, StringVariable
from Orange.data.io import detect_encoding, UrlReader as CoreUrlReader
from Orange.data import DiscreteVariable, Domain, StringVariable, \
guess_data_type
from Orange.data.io import detect_encoding, sanitize_variable,\
UrlReader as CoreUrlReader
from Orange.data.util import get_unique_names
from Orange.util import Registry

Expand Down Expand Up @@ -178,6 +181,9 @@ class YamlMetaReader(Reader):
def read_file(self):
with open(self.path, "r") as f:
self.content = yaml.safe_load(f)
for k in self.content:
if self.content[k] is None:
self.content[k] = ""


class UrlReader(Reader, CoreUrlReader):
Expand Down Expand Up @@ -345,13 +351,18 @@ def _add_metadata(self, corpus: Corpus) -> Corpus:
if len(df.index.drop_duplicates()) != len(df.index):
df = df[~df.index.duplicated(keep='first')]
filtered = df.reindex(path_column)
for column in filtered.columns:
for name, column in filtered.iteritems():
data = column.astype(str).values
val_map, vals, var_type = guess_data_type(data)
values, variable = sanitize_variable(val_map, vals, data,
var_type, {},
name=get_unique_names(
corpus.domain, name))
corpus = corpus.add_column(
StringVariable(get_unique_names(corpus.domain, column)),
filtered[column].to_numpy(),
variable,
values,
to_metas=True
)

return corpus

@staticmethod
Expand Down
8 changes: 4 additions & 4 deletions orangecontrib/text/tests/test_import_documents.py
Original file line number Diff line number Diff line change
Expand Up @@ -130,16 +130,16 @@ def test_run_url(self):
importer = ImportDocuments(path, True)
corpus2, _ = importer.run()
self.assertGreater(len(corpus1), 0)
self.assertEqual(corpus1.metas[mask].tolist(),
corpus2.metas[mask].tolist())
np.testing.assert_array_equal(corpus1.metas[mask].tolist(),
corpus2.metas[mask].tolist())

path = "http://file.biolab.si/text-semantics/data" \
"/predlogi-vladi-sample"
importer = ImportDocuments(path, True)
corpus3, _ = importer.run()
self.assertGreater(len(corpus2), 0)
self.assertEqual(corpus1.metas[mask].tolist(),
corpus3.metas[mask].tolist())
np.testing.assert_array_equal(corpus1.metas[mask].tolist(),
corpus3.metas[mask].tolist())

def test_run_url_special_characters(self):
path = "http://file.biolab.si/text-semantics/data/" \
Expand Down