def testSATBeginnerSentenceOrder(self):
# check that sentences are in the correct order
api = SmartFMAPI("debug.txt")
sentences = api.listItems(700, False, True)
for sentence in sentences:
self.failIfEqual(None, sentence.expression)
self.failUnlessEqual(
u"Seeing something in a different <b>context</b> than the accustomed one can be surprising.",
sentences[0].expression.strip(),
)
self.failUnlessEqual(
u"He works in a very <b>conventional</b> work environment.", sentences[1].expression.strip()
)
self.failUnlessEqual(
u"She gained <b>comprehensive</b> knowledge of baseball after dating him for a year.",
sentences[2].expression.strip(),
)
self.failUnlessEqual(
u"They enjoyed working in <b>conjunction</b> with one another.", sentences[24].expression.strip()
)
self.failUnlessEqual(
u"My college prides itself on its ethnically <b>diverse</b> student population.",
sentences[30].expression.strip(),
)
api._close()
def checkListForVocabThenSentencesOrder(self, listId):
api = SmartFMAPI("debug.txt")
items = api.listItems(listId, True, True)
vocab = api.listItems(listId, True, False)
curWordIndex = 0
curWord = None
# loop through the items and ensure that:
# a) vocabulary appears in the same order as on the list itself on smart.fm
# b) sentences appear only immediately after the last keyword in the sentence. if the sentence contains two keywords from the current list, then it should appear immediately after the second vocabulary word. this ensures the user has already seen the necessary vocabulary to understand a sentence
# eg:
# vocab 1
# sentence for vocab 1
# vocab 2
# sentence for vocab 2
# sentence 2 for vocab 2
for i, item in enumerate(items):
if not curWord:
self.assertEqual(u"item", item.type)
self.assertEqual(vocab[0].iknow_id, item.iknow_id)
curWord = item
elif item.type == "item":
curWordIndex += 1
self.assertEqual(vocab[curWordIndex].iknow_id, item.iknow_id)
curWord = item
elif item.type == "sentence":
self.assertEqual(
curWord.expression,
item.core_words[-1],
"Every sentence should be an example for the word that preceded it. current word is\n %s\nsentence is\n%s\nitem number %s"
% (curWord.meaning, item.meaning, i),
)
api._close()
def testChineseMediaVocab(self):
api = SmartFMAPI("debug.txt")
vocab = api.listItems(35430, True, False)
self.failUnlessEqual(317, len(vocab))
self.failUnlessEqual(u"465646", vocab[0].iknow_id)
self.failUnlessEqual(u"465648", vocab[1].iknow_id)
self.failUnlessEqual(u"466049", vocab[-1].iknow_id)
api._close()
def testChineseMediaVocab(self):
api = SmartFMAPI("debug.txt")
vocab = api.listItems(35430, True, False)
self.failUnlessEqual(317, len(vocab))
self.failUnlessEqual(u"465646", vocab[0].iknow_id)
self.failUnlessEqual(u"465648", vocab[1].iknow_id)
self.failUnlessEqual(u"466049", vocab[-1].iknow_id)
api._close()
def testSATBeginnerSentenceNoMeaningButKeywordMeaning(self):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(700, False, True)
for sentence in sentences:
self.assertEqual(u"sentence", sentence.type)
self.assertEqual(u"", sentence.meaning, "Single language list sentences have no 'meaning' or translation. Value should be empty string.")
self.assert_(len(sentence.secondary_meanings) > 0, "List sentences should all have at least one secondary meaning: %s" % sentence.expression)
api._close()
def testEnglishToJapaneseList(self):
api = SmartFMAPI("debug.txt")
smartfmlist = api.list(19056)
self.failUnlessEqual(u"Japanese Core 2000:Step 3", smartfmlist.name)
self.failUnlessEqual(u"en", smartfmlist.translation_language)
self.failUnlessEqual(u"ja", smartfmlist.language)
self.failUnlessEqual(u"http://smart.fm/lists/19056", smartfmlist.list_uri)
self.failUnlessEqual(u"19056", smartfmlist.iknow_id)
self.failUnlessEqual("list:19056", smartfmlist.uniqIdStr())
api._close()
def testEnglishToEnglishList(self):
api = SmartFMAPI("debug.txt")
smartfmlist = api.list(700)
self.assertEqual(u"SAT Beginner".lower(), smartfmlist.name.lower(), "List name does not match website")
self.assertEqual(u"en", smartfmlist.translation_language, "Translation language should be 'en'")
self.assertEqual(u"en", smartfmlist.language, "List language should be 'en'")
self.assertEqual(u"http://smart.fm/lists/700", smartfmlist.list_uri)
self.assertEqual(u"700", smartfmlist.iknow_id)
self.assertEqual("list:700", smartfmlist.uniqIdStr())
api._close()
def testEnglishToEnglishList(self):
api = SmartFMAPI("debug.txt")
smartfmlist = api.list(700)
self.assertEqual(u"SAT Beginner".lower(), smartfmlist.name.lower(), "List name does not match website")
self.assertEqual(u"en", smartfmlist.translation_language, "Translation language should be 'en'")
self.assertEqual(u"en", smartfmlist.language, "List language should be 'en'")
self.assertEqual(u"http://smart.fm/lists/700", smartfmlist.list_uri)
self.assertEqual(u"700", smartfmlist.iknow_id)
self.assertEqual("list:700", smartfmlist.uniqIdStr())
api._close()
def testEnglishToJapaneseList(self):
api = SmartFMAPI("debug.txt")
smartfmlist = api.list(19056)
self.failUnlessEqual(u"Japanese Core 2000:Step 3", smartfmlist.name)
self.failUnlessEqual(u"en", smartfmlist.translation_language)
self.failUnlessEqual(u"ja", smartfmlist.language)
self.failUnlessEqual(u"http://smart.fm/lists/19056", smartfmlist.list_uri)
self.failUnlessEqual(u"19056", smartfmlist.iknow_id)
self.failUnlessEqual("list:19056", smartfmlist.uniqIdStr())
api._close()
def testSentenceSnow(self):
api = SmartFMAPI("debug.txt")
sentence = api.sentence(243210, u"en")
self.failUnlessEqual(u"家の外に積もった雪でドアがふさがれてしまった。", sentence.expression.replace('<b>','').replace('</b>',''), "expression invalid")
self.failUnlessEqual(u"いえ の そと に つもった ゆき で ドア が ふさがれてしまった 。", sentence.reading.replace('<b>','').replace('</b>',''), "reading invalid")
self.failUnlessEqual(u"The snow outside our house blocked the door.", sentence.meaning.replace('<b>','').replace('</b>',''))
self.failUnlessEqual(u"", sentence.audio_uri)
self.failUnlessEqual(u"http://assets0.smart.fm/assets/legacy/images/01/2932927.jpg", sentence.image_uri)
self.failUnlessEqual(u"http://smart.fm/sentences/243210", sentence.item_uri)
self.failUnlessEqual(u"ja", sentence.language)
api._close()
def testPoroporoTearsFullData(self):
api = SmartFMAPI("debug.txt")
testVocab = api.item(790286)
self.failUnlessEqual(u"ぽろぽろ", testVocab.expression, "expression wrong on test vocab word")
self.failUnlessEqual(u"poroporo", testVocab.reading.replace('<b>','').replace('</b>','').lower(), "reading should be romaji")
self.failUnlessEqual(None, testVocab.audio_uri, "should have no audio")
self.failUnlessEqual(None, testVocab.image_uri, "should have no image")
self.failUnlessEqual(u"(shed tears) in large drops", testVocab.meaning.replace('<b>','').replace('</b>',''))
self.failUnlessEqual(u"http://smart.fm/item/790286", testVocab.item_uri)
self.failUnlessEqual(u"ja", testVocab.language)
api._close()
def testSATBeginnerSentenceOrder(self):
#check that sentences are in the correct order
api = SmartFMAPI("debug.txt")
sentences = api.listItems(700, False, True)
for sentence in sentences:
self.failIfEqual(None, sentence.expression)
self.failUnlessEqual(u"Seeing something in a different <b>context</b> than the accustomed one can be surprising.", sentences[0].expression.strip())
self.failUnlessEqual(u"He works in a very <b>conventional</b> work environment.", sentences[1].expression.strip())
self.failUnlessEqual(u"She gained <b>comprehensive</b> knowledge of baseball after dating him for a year.", sentences[2].expression.strip())
self.failUnlessEqual(u"They enjoyed working in <b>conjunction</b> with one another.", sentences[24].expression.strip())
self.failUnlessEqual(u"My college prides itself on its ethnically <b>diverse</b> student population.", sentences[30].expression.strip())
api._close()
def testChineseMediaHasSimpleAndTraditionalCharacters(self):
api = SmartFMAPI("debug.txt")
items = api.listItems(35430, True, False)
for item in items:
self.failIfEqual(None, item.meaning)
self.failIfEqual(None, item.expression)
self.assert_(items[3].expression.find(u"市場") >= 0, "Should have simple/traditional characters")
self.assert_(items[3].expression.find(u"市场") >= 0, "Should also have Hansig characters")
items = api.listItems(35430, False, True)
self.assert_(items[0].expression.find(u"龍是中") >= 0, "Should have simple/traditional characters")
self.assert_(items[0].expression.find(u"龙是中") >= 0, "Should also have Hansig characters")
api._close()
def testSATBeginnerVocab(self):
api = SmartFMAPI("debug.txt")
vocab = api.listItems(700, True, False)
self.assertEqual(250, len(vocab), "There should be 250 vocab words")
for word in vocab:
self.assertEqual(u"item", word.type, "Vocab 'type' should be 'item'")
self.failIfEqual(None, word.meaning)
self.failUnlessEqual(u"context", vocab[0].expression.strip())
self.failUnlessEqual(u"conventional", vocab[1].expression.strip())
self.failUnlessEqual(u"comprehensive", vocab[2].expression.strip())
self.failUnlessEqual(u"commodity", vocab[25].expression.strip())
self.failUnlessEqual(u"critique", vocab[50].expression.strip())
api._close()
def testSATBeginnerVocab(self):
api = SmartFMAPI("debug.txt")
vocab = api.listItems(700, True, False)
self.assertEqual(250, len(vocab), "There should be 250 vocab words")
for word in vocab:
self.assertEqual(u"item", word.type, "Vocab 'type' should be 'item'")
self.failIfEqual(None, word.meaning)
self.failUnlessEqual(u"context", vocab[0].expression.strip())
self.failUnlessEqual(u"conventional", vocab[1].expression.strip())
self.failUnlessEqual(u"comprehensive", vocab[2].expression.strip())
self.failUnlessEqual(u"commodity", vocab[25].expression.strip())
self.failUnlessEqual(u"critique", vocab[50].expression.strip())
api._close()
def testJapaneseToEnglishVocab(self):
api = SmartFMAPI("debug.txt")
vocab = api.listItems(19056, True, False)
self.assertEqual(200, len(vocab), "there should be 200 vocab words")
for word in vocab:
self.failUnlessEqual(u"item", word.type)
self.failIfEqual(None, word.meaning)
self.failUnlessEqual(u"問題", vocab[0].expression, "First word not correct")
self.failUnlessEqual(u"開発", vocab[1].expression, "Second word not correct")
self.failUnlessEqual(u"事件", vocab[2].expression, "Third word not correct")
self.failUnlessEqual(u"頃", vocab[26].expression, "27th word not correct")
self.failUnlessEqual(u"ほとんど", vocab[50].expression, "50th word not correct. should mean 'influence, effect' but it means %s" % vocab[50].meaning[0])
api._close()
def testPoroporoTearsFullData(self):
api = SmartFMAPI("debug.txt")
testVocab = api.item(790286)
self.failUnlessEqual(u"ぽろぽろ", testVocab.expression, "expression wrong on test vocab word")
self.failUnlessEqual(
u"poroporo", testVocab.reading.replace("<b>", "").replace("</b>", "").lower(), "reading should be romaji"
)
self.failUnlessEqual(None, testVocab.audio_uri, "should have no audio")
self.failUnlessEqual(None, testVocab.image_uri, "should have no image")
self.failUnlessEqual(u"(shed tears) in large drops", testVocab.meaning.replace("<b>", "").replace("</b>", ""))
self.failUnlessEqual(u"http://smart.fm/item/790286", testVocab.item_uri)
self.failUnlessEqual(u"ja", testVocab.language)
api._close()
def testJapaneseToEnglishSentenceOrder(self):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(19056, False, True)
for sentence in sentences:
self.failIfEqual(None, sentence.meaning)
self.failIfEqual(None, sentence.expression)
self.failUnlessEqual(u"問題が一つあります。", sentences[0].expression.replace(u"<b>",u'').replace(u"</b>",u''))
self.assert_(sentences[0].reading.replace(u"<b>",u"").replace(u"</b>",u"").find(u"もんだい が ひとつ あります") >= 0, "Reading not correct for first sentence")
self.failUnlessEqual(u"247757", sentences[0].iknow_id)
self.failUnlessEqual(u"247759", sentences[1].iknow_id)
self.failUnlessEqual(u"247761", sentences[2].iknow_id)
self.failUnlessEqual(u"247815", sentences[29].iknow_id)
api._close()
def testSATBeginnerSentenceNoMeaningButKeywordMeaning(self):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(700, False, True)
for sentence in sentences:
self.assertEqual(u"sentence", sentence.type)
self.assertEqual(
u"",
sentence.meaning,
"Single language list sentences have no 'meaning' or translation. Value should be empty string.",
)
self.assert_(
len(sentence.secondary_meanings) > 0,
"List sentences should all have at least one secondary meaning: %s" % sentence.expression,
)
api._close()
def testJapaneseToEnglishSentenceOrder(self):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(19056, False, True)
for sentence in sentences:
self.failIfEqual(None, sentence.meaning)
self.failIfEqual(None, sentence.expression)
self.failUnlessEqual(u"問題が一つあります。", sentences[0].expression.replace(u"<b>", u"").replace(u"</b>", u""))
self.assert_(
sentences[0].reading.replace(u"<b>", u"").replace(u"</b>", u"").find(u"もんだい が ひとつ あります") >= 0,
"Reading not correct for first sentence",
)
self.failUnlessEqual(u"247757", sentences[0].iknow_id)
self.failUnlessEqual(u"247759", sentences[1].iknow_id)
self.failUnlessEqual(u"247761", sentences[2].iknow_id)
self.failUnlessEqual(u"247815", sentences[29].iknow_id)
api._close()
def testJapaneseToEnglishVocab(self):
api = SmartFMAPI("debug.txt")
vocab = api.listItems(19056, True, False)
self.assertEqual(200, len(vocab), "there should be 200 vocab words")
for word in vocab:
self.failUnlessEqual(u"item", word.type)
self.failIfEqual(None, word.meaning)
self.failUnlessEqual(u"問題", vocab[0].expression, "First word not correct")
self.failUnlessEqual(u"開発", vocab[1].expression, "Second word not correct")
self.failUnlessEqual(u"事件", vocab[2].expression, "Third word not correct")
self.failUnlessEqual(u"頃", vocab[26].expression, "27th word not correct")
self.failUnlessEqual(
u"ほとんど",
vocab[50].expression,
"50th word not correct. should mean 'influence, effect' but it means %s" % vocab[50].meaning[0],
)
api._close()
def testJapaneseToEnglishAll(self):
api = SmartFMAPI("debug.txt")
items = api.listItems(19056, True, True)
wordCount = 0
sentenceCount = 0
index = 0
for item in items:
if item.type == "item":
wordCount += 1
elif item.type == "sentence":
sentenceCount += 1
self.failUnlessEqual(200, wordCount)
self.failUnlessEqual(200, sentenceCount)
self.failUnlessEqual(u"436164", items[0].iknow_id)
self.failUnlessEqual(u"247757", items[1].iknow_id)
api._close()
def testJapaneseToEnglishAll(self):
api = SmartFMAPI("debug.txt")
items = api.listItems(19056, True, True)
wordCount = 0
sentenceCount = 0
index = 0
for item in items:
if item.type == "item":
wordCount += 1
elif item.type == "sentence":
sentenceCount += 1
self.failUnlessEqual(200, wordCount)
self.failUnlessEqual(200, sentenceCount)
self.failUnlessEqual(u"436164", items[0].iknow_id)
self.failUnlessEqual(u"247757", items[1].iknow_id)
api._close()
def testSentenceSnow(self):
api = SmartFMAPI("debug.txt")
sentence = api.sentence(243210, u"en")
self.failUnlessEqual(
u"家の外に積もった雪でドアがふさがれてしまった。", sentence.expression.replace("<b>", "").replace("</b>", ""), "expression invalid"
)
self.failUnlessEqual(
u"いえ の そと に つもった ゆき で ドア が ふさがれてしまった 。",
sentence.reading.replace("<b>", "").replace("</b>", ""),
"reading invalid",
)
self.failUnlessEqual(
u"The snow outside our house blocked the door.", sentence.meaning.replace("<b>", "").replace("</b>", "")
)
self.failUnlessEqual(u"", sentence.audio_uri)
self.failUnlessEqual(u"http://assets0.smart.fm/assets/legacy/images/01/2932927.jpg", sentence.image_uri)
self.failUnlessEqual(u"http://smart.fm/sentences/243210", sentence.item_uri)
self.failUnlessEqual(u"ja", sentence.language)
api._close()
def checkListForVocabThenSentencesOrder(self, listId):
api = SmartFMAPI("debug.txt")
items = api.listItems(listId, True, True)
vocab = api.listItems(listId, True, False)
curWordIndex = 0
curWord = None
#loop through the items and ensure that:
# a) vocabulary appears in the same order as on the list itself on smart.fm
# b) sentences appear only immediately after the last keyword in the sentence. if the sentence contains two keywords from the current list, then it should appear immediately after the second vocabulary word. this ensures the user has already seen the necessary vocabulary to understand a sentence
# eg:
# vocab 1
# sentence for vocab 1
# vocab 2
# sentence for vocab 2
# sentence 2 for vocab 2
for i, item in enumerate(items):
if not curWord:
self.assertEqual(u"item", item.type)
self.assertEqual(vocab[0].iknow_id, item.iknow_id)
curWord = item
elif item.type == "item":
curWordIndex += 1
self.assertEqual(vocab[curWordIndex].iknow_id, item.iknow_id)
curWord = item
elif item.type == "sentence":
self.assertEqual(curWord.expression, item.core_words[-1], "Every sentence should be an example for the word that preceded it. current word is\n %s\nsentence is\n%s\nitem number %s" % (curWord.meaning, item.meaning, i))
api._close()
def testChineseMediaHasSimpleAndTraditionalCharacters(self):
api = SmartFMAPI("debug.txt")
items = api.listItems(35430, True, False)
for item in items:
self.failIfEqual(None, item.meaning)
self.failIfEqual(None, item.expression)
self.assert_(items[3].expression.find(u"市場") >= 0, "Should have simple/traditional characters")
self.assert_(items[3].expression.find(u"市场") >= 0, "Should also have Hansig characters")
items = api.listItems(35430, False, True)
self.assert_(items[0].expression.find(u"龍是中") >= 0, "Should have simple/traditional characters")
self.assert_(items[0].expression.find(u"龙是中") >= 0, "Should also have Hansig characters")
api._close()
def checkListItemsSentencesAlwaysHaveAMeaning(self, listId):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(listId, False, True)
for sentence in sentences:
self.assert_(len(sentence.meaning) > 0, "All sentence should have at least one meaning.")
api._close()
def checkListItemsSentencesReturnsOnlySentences(self, listId):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(listId, False, True)
for sentence in sentences:
self.assertEqual(u"sentence", sentence.type)
api._close()
def testItemMondaiProblem(self):
api = SmartFMAPI("debug.txt")
item = api.item(436164)
self.failUnlessEqual(u"http://assets1.smart.fm/assets/legacy/JLL/audio/JW09359A.mp3", item.audio_uri)
api._close()
def checkListLength(self, listId, count):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(listId, False, True)
self.failUnlessEqual(count, len(sentences))
api._close()
def checkListLength(self, listId, count):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(listId, False, True)
self.failUnlessEqual(count, len(sentences))
api._close()
def checkListItemsSentencesReturnsOnlySentences(self, listId):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(listId, False, True)
for sentence in sentences:
self.assertEqual(u"sentence", sentence.type)
api._close()
def checkListItemsSentencesAlwaysHaveAMeaning(self, listId):
api = SmartFMAPI("debug.txt")
sentences = api.listItems(listId, False, True)
for sentence in sentences:
self.assert_(len(sentence.meaning) > 0, "All sentence should have at least one meaning.")
api._close()
from iknow import SmartFMAPI
api = SmartFMAPI("debug.txt")
items = api.listItems(83026, True, True)
api._close()
def testItemMondaiProblem(self):
api = SmartFMAPI("debug.txt")
item = api.item(436164)
self.failUnlessEqual(u"http://assets1.smart.fm/assets/legacy/JLL/audio/JW09359A.mp3", item.audio_uri)
api._close()
