class Test_Data(unittest.TestCase):
def setUp(self):
self.tweets_data_path = 'test/sample.json'
self.db = './test.sqlite'
self.feels_db = TweetData(self.db)
def tearDown(self):
os.remove(self.db)
def test_file_creation(self):
self.assertTrue(os.path.exists(self.db))
def test_fields(self):
f = self.feels_db.fields
self.assertTrue(isinstance(f, tuple))
self.assertTrue(len(f)>=11)
def test_scrub(self):
data = {'a':1, 'b':2}
scrubbed = self.feels_db.scrub(data)
self.assertTrue(isinstance(scrubbed, str))
def test_data_operation(self):
twt = {'created_at': 'Sun Feb 19 19:14:18 +0000 2017',
'id_str': '833394296418082817',
'text': 'All the feels!'}
t = Tweet(twt)
self.assertEqual(len(t.keys()), 7)
self.feels_db.insert_tweet(t)
dfs = self.feels_db.tweets_since(datetime.now())
for df in dfs:
self.assertEqual(len(df), 0)
dfs = self.feels_db.tweets_since(0)
for df in dfs:
self.assertEqual(len(df), 1)
df.sentiment = 0.9
for row in df.itertuples():
self.feels_db.update_tweet(
{'id_str': row.id_str, 'sentiment': row.sentiment}
)
class Test_Data(unittest.TestCase):
def setUp(self):
self.tweets_data_path = 'test/sample.json'
self.db = './test.sqlite'
self.feels_db = TweetData(self.db)
self.tweets = [
{
'created_at': 'Sun Feb 19 19:14:18 +0000 2017',
'id_str': '833394296418082817',
'text': 'Tweetfeels is tremendous! Believe me. I know.',
'user': {
'followers_count': '100',
'friends_count': '200',
'location': None
}
}, # sentiment value = 0
{
'created_at': 'Sun Feb 20 19:14:19 +0000 2017',
'id_str': '833394296418082818',
'text': 'Fake news. Sad!',
'user': {
'followers_count': '200',
'friends_count': '200',
'location': None
}
}, # sentiment value = -0.7351
{
'created_at': 'Sun Feb 21 19:14:20 +0000 2017',
'id_str': '833394296418082819',
'text': 'I hate it.',
'user': {
'followers_count': '200',
'friends_count': '200',
'location': None
}
} # sentiment value = -0.5719
]
self.mock_tweets = [Tweet(t) for t in self.tweets]
def tearDown(self):
os.remove(self.db)
def test_file_creation(self):
self.assertTrue(os.path.exists(self.db))
def test_fields(self):
f = self.feels_db.fields
self.assertTrue(isinstance(f, tuple))
self.assertTrue(len(f) >= 11)
def test_start(self):
self.assertTrue(isinstance(self.feels_db.start, datetime))
def test_dates(self):
for t in self.mock_tweets:
self.feels_db.insert_tweet(t)
self.assertEqual(len(self.feels_db.tweet_dates), 3)
tweets = []
with open(self.tweets_data_path) as tweets_file:
lines = filter(None, (line.rstrip() for line in tweets_file))
for line in lines:
try:
tweets.append(Tweet(json.loads(line)))
except KeyError:
pass
for t in tweets:
self.feels_db.insert_tweet(t)
self.assertEqual(len(self.feels_db.tweet_dates), 105)
df = self.feels_db.tweet_dates
timebox = timedelta(seconds=60)
second = timedelta(seconds=1)
df = df.groupby(pd.TimeGrouper(freq=f'{int(timebox/second)}S')).size()
df = df[df != 0]
print(df)
self.assertEqual(len(df), 3)
self.assertEqual(df.iloc[0], 103)
def test_fetch(self):
tweets = []
with open(self.tweets_data_path) as tweets_file:
lines = filter(None, (line.rstrip() for line in tweets_file))
for line in lines:
try:
tweets.append(Tweet(json.loads(line)))
except KeyError:
pass
for t in tweets:
self.feels_db.insert_tweet(t)
for t in self.mock_tweets:
self.feels_db.insert_tweet(t)
it = self.feels_db.fetchbin(binsize=timedelta(minutes=30))
cur = next(it)
self.assertEqual(cur.end - cur.start, timedelta(minutes=30))
self.assertEqual(len(cur), 103)
cur = next(it)
self.assertEqual(len(cur), 1)
cur = next(it)
self.assertEqual(len(cur), 1)
def test_empty(self):
for t in self.mock_tweets:
self.feels_db.insert_tweet(t)
it = self.feels_db.fetchbin(binsize=timedelta(hours=12), empty=True)
cur = next(it)
self.assertEqual(len(cur), 1)
cur = next(it)
self.assertEqual(len(cur), 0)
cur = next(it)
self.assertEqual(len(cur), 1)
cur = next(it)
cur = next(it)
self.assertEqual(len(cur), 1)
def test_bin(self):
for t in self.mock_tweets:
self.feels_db.insert_tweet(t)
it = self.feels_db.fetchbin(binsize=timedelta(hours=12), empty=True)
cur = next(it)
self.assertEqual(cur.influence, 300)
cur = next(it)
self.assertEqual(cur.influence, 0)
cur = next(it)
self.assertEqual(cur.influence, 400)
cur = next(it)
cur = next(it)
self.assertEqual(cur.influence, 400)
def test_data_operation(self):
twt = {
'created_at': 'Sun Feb 19 19:14:18 +0000 2017',
'id_str': '833394296418082817',
'text': 'All the feels!'
}
t = Tweet(twt)
self.assertEqual(len(t.keys()), 7)
self.feels_db.insert_tweet(t)
b = self.feels_db.tweets_since(datetime.now())
self.assertEqual(len(b), 0)
b = self.feels_db.tweets_since(0)
self.assertEqual(len(b), 1)
b.df.sentiment = 0.9
for row in b.df.itertuples():
self.feels_db.update_tweet({
'id_str': row.id_str,
'sentiment': row.sentiment
})
start = datetime(2017, 2, 17, 0, 0, 0)
before = datetime(2017, 2, 18, 0, 0, 0)
after = datetime(2017, 2, 20, 0, 0, 0)
b = self.feels_db.tweets_between(start, before)
self.assertEqual(len(b), 0)
b = self.feels_db.tweets_between(start, after)
self.assertEqual(len(b), 1)
