def test_should_return_profile_and_change_description(self):
talk = sut.InvitedTalk(
"213320",
"招待講演テストデータ",
"#pyconjp_1",
1,
2,
("〇〇氏による招待講演です\r\nhttp://example.com/blog\r\n"
"-----\r\n〇〇氏のプロフィール。\r\nプロフィールが続きます"),
sut.AnswerItems("招待講演のエレベーターピッチ", None, None),
sut.CategoryItems(
"Invited talk(45min)",
None,
None,
"Data Science / Machine Learning",
"Japanese",
"Japanese only",
),
["masked_id_ddd"],
)
actual = talk.take_over_profile_from_description()
self.assertEqual(actual, "〇〇氏のプロフィール。\r\nプロフィールが続きます")
self.assertEqual(
talk,
sut.InvitedTalk(
"213320",
"招待講演テストデータ",
"#pyconjp_1",
1,
2,
"〇〇氏による招待講演です\r\nhttp://example.com/blog",
sut.AnswerItems("招待講演のエレベーターピッチ", None, None),
sut.CategoryItems(
"Invited talk(45min)",
None,
None,
"Data Science / Machine Learning",
"Japanese",
"Japanese only",
),
["masked_id_ddd"],
),
)
def test_should_return_flat_dict(self):
talk = sut.Talk(
"241734",
"辞書に変換するテストデータ",
"#pyconjp_1",
2,
4,
"テストデータに使うための\r\nダミープロポーザル",
sut.AnswerItems("エレベーターピッチ", "前提知識", "持ち帰り"),
sut.CategoryItems(
"Talk(15min)",
"Advanced",
"0%",
"Tips of development",
"Japanese",
"Japanese only",
),
["masked_id_bbb"],
)
actual = talk.as_dict()
self.assertEqual(
actual,
{
"id": "241734",
"title": "辞書に変換するテストデータ",
"room": "#pyconjp_1",
"day": 2,
"no": 4,
"elevator_pitch": "エレベーターピッチ",
"prerequisite_knowledge": "前提知識",
"audience_takeaway": "持ち帰り",
"talk_format": "Talk(15min)",
"audience_python_level": "Advanced",
"audience_expertise": "0%",
"track": "Tips of development",
"lang_of_talk": "Japanese",
"lang_of_slide": "Japanese only",
"speaker_ids": ["masked_id_bbb"],
"description": "テストデータに使うための\r\nダミープロポーザル",
},
)
def test_should_create(self):
data_dict = {
"Track": "Data Science / Machine Learning",
"Level": "Intermediate",
"Audience expertise": "0%",
"Language": "Japanese",
"発表資料の言語 / Language of presentation material": "Japanese only",
"Session format": "Talk(45min)",
}
actual = sut.CategoryItems.create(data_dict)
self.assertEqual(
actual,
sut.CategoryItems(
"Talk(45min)",
"Intermediate",
"0%",
"Data Science / Machine Learning",
"Japanese",
"Japanese only",
),
)
def test_should_create_talk(self):
session_data = {
"questionAnswers": [
{
"question": "Elevator Pitch",
"answer": "エレベーターピッチです"
},
{
"question":
("聴衆に求める前提知識 / Prerequisite knowledge for attending"),
"answer":
"前提知識です",
},
{
"question": "聴衆が持ち帰ることができるもの",
"answer": "持ち帰ります"
},
],
"id":
"214734",
"title":
"テストデータプロポーザル",
"description":
"テストデータに使うための\r\nダミープロポーザルです",
"startsAt":
"2020-08-29T14:50:00",
"endsAt":
"2020-08-29T15:20:00",
"speakers": [{
"id": "masked_id_aaa",
"name": "Test User"
}],
"categories": [
{
"name": "Session format",
"categoryItems": [{
"name": "Talk(30min)"
}],
},
{
"name": "Track",
"categoryItems": [{
"name": "Python core"
}]
},
{
"name": "Level",
"categoryItems": [{
"name": "Beginner"
}]
},
{
"name": "Language",
"categoryItems": [{
"name": "English"
}]
},
{
"name": "発表資料の言語 / Language of presentation material",
"categoryItems": [{
"name": "English only"
}],
},
{
"name": "Audience expertise",
"categoryItems": [{
"name": "100%"
}],
},
],
"roomId":
14496,
"room":
"#pyconjp_2",
}
day = 2
actual = sut.Talk.create(session_data, day)
self.assertEqual(
actual,
sut.Talk(
"214734",
"テストデータプロポーザル",
"#pyconjp_2",
2,
3,
"テストデータに使うための\r\nダミープロポーザルです",
sut.AnswerItems("エレベーターピッチです", "前提知識です", "持ち帰ります"),
sut.CategoryItems(
"Talk(30min)",
"Beginner",
"100%",
"Python core",
"English",
"English only",
),
["masked_id_aaa"],
),
)
def test_should_create(self):
session_data = {
"questionAnswers": [
{
"question": "Elevator Pitch",
"answer": "招待講演のエレベーターピッチ"
},
{
"question":
("聴衆に求める前提知識 / Prerequisite knowledge for attending"),
"answer":
None,
},
{
"question": "聴衆が持ち帰ることができるもの",
"answer": None
},
],
"id":
"213320",
"title":
"招待講演テストデータ",
"description":
"招待講演の情報を\r\nスタッフが入力しました",
"startsAt":
"2020-08-28T13:45:00",
"endsAt":
"2020-08-28T14:30:00",
"speakers": [{
"id": "masked_id_ddd",
"name": "PyCon JP"
}],
"categories": [
{
"name": "Session format",
"categoryItems": [{
"name": "Talk(45min)"
}],
},
{
"name": "Track",
"categoryItems": [{
"name": "Data Science / Machine Learning"
}],
},
{
"name": "Level",
"categoryItems": []
},
{
"name": "Language",
"categoryItems": [{
"name": "Japanese"
}]
},
{
"name": "発表資料の言語 / Language of presentation material",
"categoryItems": [{
"name": "Japanese only"
}],
},
{
"name": "Audience expertise",
"categoryItems": []
},
],
"roomId":
14816,
"room":
"#pyconjp_1",
}
day = 1
actual = sut.InvitedTalk.create(session_data, day)
self.assertIsInstance(actual, sut.Talk)
self.assertEqual(
actual,
sut.InvitedTalk(
"213320",
"招待講演テストデータ",
"#pyconjp_1",
1,
2,
"招待講演の情報を\r\nスタッフが入力しました",
sut.AnswerItems("招待講演のエレベーターピッチ", None, None),
sut.CategoryItems(
"Invited talk(45min)",
None,
None,
"Data Science / Machine Learning",
"Japanese",
"Japanese only",
),
["masked_id_ddd"],
),
)
def test_should_create_non_talk_contentswhen_includes_blank(self):
# トークではないコンテンツはプロポーザルの項目が当てはまらず、空欄を含む
session_data = {
"questionAnswers": [
{
"question": "Elevator Pitch",
"answer": None
},
{
"question":
("聴衆に求める前提知識 / Prerequisite knowledge for attending"),
"answer":
None,
},
{
"question": "聴衆が持ち帰ることができるもの",
"answer": None
},
],
"id":
"215382",
"title":
"ブランクありテストデータ",
"description":
"ブランクのある\r\nダミープロポーザルです",
"startsAt":
"2020-08-28T15:20:00",
"endsAt":
"2020-08-28T16:00:00",
"speakers": [{
"id": "masked_id_bbb",
"name": "Staff"
}],
"categories": [
{
"name": "Session format",
"categoryItems": []
},
{
"name": "Track",
"categoryItems": []
},
{
"name": "Level",
"categoryItems": []
},
{
"name": "Language",
"categoryItems": [{
"name": "Japanese"
}]
},
{
"name": "発表資料の言語 / Language of presentation material",
"categoryItems": [{
"name": "Japanese only"
}],
},
{
"name": "Audience expertise",
"categoryItems": []
},
],
"roomId":
14495,
"room":
"#pyconjp",
}
day = 1
actual = sut.Talk.create(session_data, day)
self.assertEqual(
actual,
sut.Talk(
"215382",
"ブランクありテストデータ",
"#pyconjp",
1,
None, # noはトークのためのもの
"ブランクのある\r\nダミープロポーザルです",
sut.AnswerItems(None, None, None),
sut.CategoryItems(None, None, None, None, "Japanese",
"Japanese only"),
["masked_id_bbb"],
),
)