本文整理汇总了Python中feed.Feed.from_dict方法的典型用法代码示例。如果您正苦于以下问题：Python Feed.from_dict方法的具体用法？Python Feed.from_dict怎么用？Python Feed.from_dict使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类feed.Feed的用法示例。
在下文中一共展示了Feed.from_dict方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_from_dict
# 需要导入模块: from feed import Feed [as 别名]
# 或者: from feed.Feed import from_dict [as 别名]
def test_from_dict(self):
example_name = 'Name here'
example_uri = 'URI here'
attribute_dict = {'name': example_name, 'uri': example_uri}
f = Feed.from_dict(attribute_dict)
self.assertEquals(f.name, example_name)
self.assertEquals(f.uri, example_uri)
# Unsupported attributes should just be ignored
invalid = 'invalid'
attribute_dict[invalid] = 'better not show up'
f = Feed.from_dict(attribute_dict)
with self.assertRaises(AttributeError):
f.invalid
attribute_dict.pop(invalid)
# Missing attributes should trigger an error
attribute_dict.pop('name')
with self.assertRaises(RuntimeError):
Feed.from_dict(attribute_dict)示例2: load_preferences
# 需要导入模块: from feed import Feed [as 别名]
# 或者: from feed.Feed import from_dict [as 别名]
def load_preferences(self):
self.preferences = load_file(self.preferences_directory, self.preferences_file, self.preferences)
if self.preferences['Feeds'] is None:
self.preferences['Feeds'] = self.default_feeds_preferences()
else:
# Since we used JSON and not pickling, need to transform the serialized feed information into Feed objects
feed_object_dict = dict()
for feed_name, feed_attributes in self.preferences['Feeds'].items():
feed_object_dict[feed_name] = Feed.from_dict(feed_attributes)
self.preferences['Feeds'] = feed_object_dict
#self.preferences['Categories'] = self.construct_categories()
if self.preferences['Filters'] is None:
self.preferences['Filters'] = self.default_filtration_preferences()
else:
filter_objects = list()
for filt, case_sensitive, hide_matches in self.preferences['Filters']:
filter_objects.append(ItemFilter(filt, case_sensitive, hide_matches))
self.preferences['Filters'] = filter_objects