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mirror of https://github.com/zedeus/nitter synced 2024-11-22 09:57:16 +01:00

Add card tests

This commit is contained in:
Zed 2019-08-13 00:29:48 +02:00
parent 1a3ba05bc0
commit 8141222c93
2 changed files with 160 additions and 0 deletions

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from seleniumbase import BaseCase
class Card(object):
def __init__(self, tweet=''):
card = tweet + '.card '
self.link = card + 'a'
self.title = card + '.card-title'
self.description = card + '.card-description'
self.destination = card + '.card-destination'
self.image = card + '.card-image'
class Quote(object):
def __init__(self, tweet=''):
quote = tweet + '.quote '

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tests/test_card.py Normal file
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from base import BaseTestCase, Card, Conversation
from parameterized import parameterized
card = [
['voidtarget/status/1133028231672582145',
'sinkingsugar/nimqt-example',
'A sample of a Qt app written using mostly nim. Contribute to sinkingsugar/nimqt-example development by creating an account on GitHub.',
'github.com', '-tb6lD-A', False],
['Bountysource/status/1141879700639215617',
'$1,000 Bounty on kivy/plyer',
'Automation and Screen Reader Support',
'bountysource.com', 'TF5vo84K', False],
['lorenlugosch/status/1115440394148487168',
'lorenlugosch/pretrain_speech_model',
'Speech Model Pre-training for End-to-End Spoken Language Understanding - lorenlugosch/pretrain_speech_model',
'github.com', 'VwMnYBVh', False],
['PyTorch/status/1123379369672450051',
'PyTorch',
'An open source deep learning platform that provides a seamless path from research prototyping to production deployment.',
'pytorch.org', 'lAc4aESh', False],
['Thom_Wolf/status/1122466524860702729',
'pytorch/fairseq',
'Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - pytorch/fairseq',
'github.com', '1SVn24P6', False],
['TheTwoffice/status/558685306090946561',
'Eternity: a moment standing still forever…',
'- James Montgomery. | facebook | 500px | ferpectshotz | I dusted off this one from my old archives, it was taken while I was living in mighty new York city working at Wall St. I think this was the 11...',
'flickr.com', '1LT6fSLU', True],
['nim_lang/status/1136652293510717440',
'Version 0.20.0 released',
'We are very proud to announce Nim version 0.20. This is a massive release, both literally and figuratively. It contains more than 1,000 commits and it marks our release candidate for version 1.0!',
'nim-lang.org', 'Q0aJrdMZ', True],
['Tesla/status/1141041022035623936',
'Experience the Tesla Arcade',
'',
'www.tesla.com', '40H36baw', True],
['mobile_test/status/490378953744318464',
'Nantasket Beach',
'Rocks on the beach.',
'500px.com', 'FVUU4YDwN', True],
['voidtarget/status/1094632512926605312',
'Basic OBS Studio plugin, written in nim, supporting C++ (C fine too)',
'Basic OBS Studio plugin, written in nim, supporting C++ (C fine too) - obsplugin.nim',
'gist.github.com', '37n4WuBF', True],
['AdsAPI/status/1110272721005367296',
'Conversation Targeting',
'',
'view.highspot.com', 'FrVMLWJH', True],
['FluentAI/status/1116417904831029248',
'Amazons Alexa isnt just AI — thousands of humans are listening',
'One of the only ways to improve Alexa is to have human beings check it for errors',
'theverge.com', 'HOW73fOB', True]
]
no_thumb = [
['nim_lang/status/1082989146040340480',
'Nim in 2018: A short recap',
'Posted in r/programming by u/miran1 • 38 points and 46 comments',
'reddit.com'],
['brent_p/status/1088857328680488961',
'Hts Nim Sugar',
'hts-nim is a library that allows one to use htslib via the nim programming language. Nim is a garbage-collected language that compiles to C and often has similar performance. I have become very...',
'brentp.github.io']
]
playable = [
['nim_lang/status/1118234460904919042',
'Nim development blog 2019-03',
'Arne (aka Krux02) * debugging: * improved nim-gdb, $ works, framefilter * alias for --debugger:native: -g * bugs: * forwarding of .pure. * sizeof union * fea...',
'youtube.com', 'rJkABhGF'],
['nim_lang/status/1121090879823986688',
'Nim - First natively compiled language w/ hot code-reloading at...',
'#nim #c++ #ACCUConf Nim is a statically typed systems and applications programming language which offers perhaps some of the most powerful metaprogramming ca...',
'youtube.com', 'FuFgnQ9PA'],
['lele/status/819930645145288704',
'Eurocrash presents Open Decks - emerging dj #4: E-Musik',
"OPEN DECKS is Eurocrash's new project about discovering new and emerging dj talents. Every selected dj will have the chance to perform the first dj-set in front of an actual audience. The best dj...",
'mixcloud.com', 'FdM8jyi04']
]
promo = [
['BangOlufsen/status/1145698701517754368',
'Upgrade your journey', '',
'www.bang-olufsen.com'],
['BangOlufsen/status/1154934429900406784',
'Learn more about Beosound Shape', '',
'www.bang-olufsen.com']
]
class CardTest(BaseTestCase):
@parameterized.expand(card)
def test_card(self, tweet, title, description, destination, image, large):
self.open_nitter(tweet)
card = Card(Conversation.main + " ")
self.assert_text(title, card.title)
self.assert_text(destination, card.destination)
self.assertIn(image, self.get_image_url(card.image + ' img'))
if len(description) > 0:
self.assert_text(description, card.description)
if large:
self.assert_element_visible('.card.large')
else:
self.assert_element_not_visible('.card.large')
@parameterized.expand(no_thumb)
def test_card_no_thumb(self, tweet, title, description, destination):
self.open_nitter(tweet)
card = Card(Conversation.main + " ")
self.assert_text(title, card.title)
self.assert_text(destination, card.destination)
if len(description) > 0:
self.assert_text(description, card.description)
@parameterized.expand(playable)
def test_card_playable(self, tweet, title, description, destination, image):
self.open_nitter(tweet)
card = Card(Conversation.main + " ")
self.assert_text(title, card.title)
self.assert_text(destination, card.destination)
self.assertIn(image, self.get_image_url(card.image + ' img'))
self.assert_element_visible('.card-overlay')
if len(description) > 0:
self.assert_text(description, card.description)
@parameterized.expand(promo)
def test_card_promo(self, tweet, title, description, destination):
self.open_nitter(tweet)
card = Card(Conversation.main + " ")
self.assert_text(title, card.title)
self.assert_text(destination, card.destination)
self.assert_element_visible('.video-overlay')
if len(description) > 0:
self.assert_text(description, card.description)