Add ini file processor

docs/task_on_kart.rst

@@ -90,6 +90,7 @@ It is also possible to specify a file format other than pkl. The supported file
 - .feather
 - .png
 - .jpg
+- .ini
 
 
 If dump something other than the above, can use :func:`~gokart.TaskOnKart.make_model_target`.

gokart/file_processor.py

@@ -1,3 +1,4 @@
+import configparser
 import os
 import pickle
 import xml.etree.ElementTree as ET
@@ -266,6 +267,22 @@ def dump(self, obj, file):
         dump_obj.to_feather(file.name)
 
 
+class IniFileProcessor(FileProcessor):
+
+    def format(self):
+        return None
+
+    def load(self, file):
+        config = configparser.ConfigParser()
+        config.read_file(file)
+        return config
+
+    def dump(self, obj, file):
+        assert isinstance(obj, configparser.ConfigParser), \
+            f'requires configparser.ConfigParser, but {type(obj)} is passed.'
+        obj.write(file)
+
+
 def make_file_processor(file_path: str, store_index_in_feather: bool) -> FileProcessor:
     extension2processor = {
         '.txt': TextFileProcessor(),
@@ -280,6 +297,7 @@ def make_file_processor(file_path: str, store_index_in_feather: bool) -> FilePro
         '.feather': FeatherFileProcessor(store_index_in_feather=store_index_in_feather),
         '.png': BinaryFileProcessor(),
         '.jpg': BinaryFileProcessor(),
+        '.ini': IniFileProcessor(),
     }
 
     extension = os.path.splitext(file_path)[1]

test/test_target.py

@@ -1,3 +1,4 @@
+import configparser
 import io
 import os
 import shutil
@@ -127,6 +128,20 @@ def test_save_and_load_feather_without_store_index_in_feather(self):
 
         pd.testing.assert_frame_equal(loaded, obj)
 
+    def test_save_and_load_ini(self):
+        obj = configparser.ConfigParser()
+        obj['DEFAULT'] = {'a': '1', 'b': 'yes', 'c': 2}
+        obj['example'] = {}
+        obj['example']['d'] = 'foo'
+        obj['example']['e'] = 'true'
+        file_path = os.path.join(_get_temporary_directory(), 'test.ini')
+
+        target = make_target(file_path=file_path, unique_id=None)
+        target.dump(obj)
+        loaded = target.load()
+
+        self.assertEqual(loaded, obj)
+
     def test_last_modified_time(self):
         obj = pd.DataFrame(dict(a=[1, 2], b=[3, 4]))
         file_path = os.path.join(_get_temporary_directory(), 'test.csv')