def test_process_parser_analytics_count(self):
"""
Test that we correctly process parser with count metric
"""
os.environ['TERM'] = 'dumb'
app = Logria(None, False, False)
# Fake window size: 10 x 100
app.height = 10
app.width = 100
# Set fake previous render
app.last_row = app.height - 3 # simulate the last row we can render to
app.current_end = 80 # Simulate the last message rendered
# Set fake messages
app.messages = [str(x) for x in range(10)]
app.parser_index = 0
app.last_index_processed = 0
app.analytics_enabled = True
# Set parser, activate
app.parser = Parser()
app.parser.set_pattern(
pattern=r'(\d)',
type_='regex',
name='Test',
example='4',
analytics_methods={
'Item': 'count'
}
)
# Set analytics method manually
app.parser._analytics_map = dict(
zip(range(len(app.parser._analytics_methods.keys())), app.parser._analytics_methods.keys()))
# Store previous message pointer
app.previous_messages = app.messages
# Process parser
process_parser(app)
self.assertEqual(
app.messages, ['Item', ' 0: 1', ' 1: 1', ' 2: 1', ' 3: 1', ' 4: 1'])
def test_process_parser_invalid_index(self):
"""
Test that we correctly process parser with invalid index
"""
os.environ['TERM'] = 'dumb'
app = Logria(None, False, False)
# Fake window size: 10 x 100
app.height = 10
app.width = 100
# Set fake previous render
app.last_row = app.height - 3 # simulate the last row we can render to
app.current_end = 80 # Simulate the last message rendered
# Set fake messages
app.messages = [f'{x}+{x}+{x}' for x in range(10)]
app.parser_index = 3
app.last_index_processed = 0
# Set parser, activate
app.parser = Parser()
app.parser.set_pattern(
pattern='\+',
type_='split',
name='Test',
example='a-a',
analytics_methods={
'Item 1': 'count',
'Item 2': 'count'
}
)
# Store previous message pointer
app.previous_messages = app.messages
# Process parser
process_parser(app)
self.assertEqual(app.messages, [])
def test_process_parser_analytics_average_no_numbers(self):
"""
Test that we correctly process a parser with average metric but no source numbers
"""
os.environ['TERM'] = 'dumb'
app = Logria(None, False, False)
# Fake window size: 10 x 100
app.height = 10
app.width = 100
# Set fake previous render
app.last_row = app.height - 3 # simulate the last row we can render to
app.current_end = 80 # Simulate the last message rendered
# Set fake messages
app.messages = [chr(x) for x in range(64, 80)]
app.parser_index = 0
app.last_index_processed = 0
app.analytics_enabled = True
# Set parser, activate
app.parser = Parser()
app.parser.set_pattern(
pattern=r'(\d)',
type_='regex',
name='Test',
example='4',
analytics_methods={
'Item': 'average'
}
)
# Set analytics method manually
app.parser._analytics_map = dict(
zip(range(len(app.parser._analytics_methods.keys())), app.parser._analytics_methods.keys()))
# Since we manually construct alaytics, create the the key
app.parser.analytics[0] = None
self.assertIsNone(app.parser.apply_analytics(0, 'A'))
def test_process_parser_no_analytics(self):
"""
Test that we correctly process parser with no analytics
"""
os.environ['TERM'] = 'dumb'
app = Logria(None, False, False)
# Fake window size: 10 x 100
app.height = 10
app.width = 100
# Set fake previous render
app.last_row = app.height - 3 # simulate the last row we can render to
app.current_end = 80 # Simulate the last message rendered
# Set fake messages
app.messages = [str(x) for x in range(10)]
app.parser_index = 0
app.last_index_processed = 0
# Set parser, activate
app.parser = Parser()
app.parser.set_pattern(
pattern=r'(\d)',
type_='regex',
name='Test',
example='4',
analytics_methods={
'Item': 'average'
}
)
# Store previous message pointer
app.previous_messages = app.messages
# Process parser
process_parser(app)
self.assertEqual(app.messages, [str(x) for x in range(10)])
