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Sep 13, 2017
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332472e
Added a helper method to find numeric metric values in the event tags.
alda-optimizely Sep 6, 2017
7a19d7d
Added tests for the numeric metric value helper method.
alda-optimizely Sep 6, 2017
92cf43e
Renamed REVENUE_METRIC_TYPE enum to EVENT_VALUE_METRIC to be consiste…
alda-optimizely Sep 6, 2017
0b82c1f
Replaced hard-coded revenue tag with enum. Renamed the local variable…
alda-optimizely Sep 6, 2017
356355d
Added a check for numeric metric value in the event builder.
alda-optimizely Sep 6, 2017
aaf3d9c
Fixed unit tests for numeric metric.
alda-optimizely Sep 7, 2017
e8ff99d
Changed event value test names to event tags. Updated test comment de…
alda-optimizely Sep 7, 2017
a4930d9
Added a couple more unit tests to test track and conversion event gen…
alda-optimizely Sep 7, 2017
29c6eaa
Fixed lint errors.
alda-optimizely Sep 7, 2017
8362b7d
Enabled max diff to see unit test error on travis.
alda-optimizely Sep 8, 2017
7327b0a
Fixed nit spacing and wording.
alda-optimizely Sep 8, 2017
a552d40
Sort the event tag keys as they were being returned in an undetermini…
alda-optimizely Sep 8, 2017
22cbae5
Refactored numeric metric unit tests to use a subroutine and isolated…
alda-optimizely Sep 11, 2017
3a88c8d
Handled corner cases for the get numeric value better. Strings and nu…
alda-optimizely Sep 12, 2017
ba86cbe
Sorted the event features results in the test so we don't have to sor…
alda-optimizely Sep 12, 2017
b64865c
Fixed an import statement.
alda-optimizely Sep 12, 2017
ac066d0
Removed basestring as this is not supported by Python3.
alda-optimizely Sep 12, 2017
57200c9
Updated some code comments.
alda-optimizely Sep 12, 2017
7ea966a
Cleaned up some wording and unit test ordering.
alda-optimizely Sep 13, 2017
ccad939
Removed blank line at end of file.
alda-optimizely Sep 13, 2017
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34 changes: 24 additions & 10 deletions optimizely/event_builder.py
Original file line number Diff line number Diff line change
Expand Up @@ -197,13 +197,23 @@ def _add_required_params_for_conversion(self, event_key, event_tags, decisions):
self.params[self.EventParams.EVENT_METRICS] = []

if event_tags:
event_value = event_tag_utils.get_revenue_value(event_tags)
if event_value is not None:
self.params[self.EventParams.EVENT_METRICS] = [{
'name': event_tag_utils.EVENT_VALUE_METRIC,
'value': event_value
}]

event_values = []

revenue_value = event_tag_utils.get_revenue_value(event_tags)
if revenue_value is not None:
event_values.append({
'name': event_tag_utils.REVENUE_METRIC_TYPE,
'value': revenue_value
})

numeric_value = event_tag_utils.get_numeric_value(event_tags, self.config.logger)
if numeric_value is not None:
event_values.append({
'name': event_tag_utils.NUMERIC_METRIC_TYPE,
'value': numeric_value
})

self.params[self.EventParams.EVENT_METRICS] = event_values
for event_tag_id in event_tags.keys():
event_tag_value = event_tags.get(event_tag_id)
if event_tag_value is None:
Expand Down Expand Up @@ -422,9 +432,13 @@ def _add_required_params_for_conversion(self, event_key, event_tags, decisions):
}

if event_tags:
event_value = event_tag_utils.get_revenue_value(event_tags)
if event_value is not None:
event_dict['revenue'] = event_value
revenue_value = event_tag_utils.get_revenue_value(event_tags)
if revenue_value is not None:
event_dict[event_tag_utils.REVENUE_METRIC_TYPE] = revenue_value

numeric_value = event_tag_utils.get_numeric_value(event_tags, self.config.logger)
if numeric_value is not None:
event_dict[event_tag_utils.NUMERIC_METRIC_TYPE] = numeric_value

if len(event_tags) > 0:
event_dict[self.EventParams.TAGS] = event_tags
Expand Down
91 changes: 88 additions & 3 deletions optimizely/helpers/event_tag_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,9 +11,12 @@
# See the License for the specific language governing permissions and
# limitations under the License.

from . import enums
import math
import numbers

EVENT_VALUE_METRIC = 'revenue'
REVENUE_METRIC_TYPE = 'revenue'
NUMERIC_METRIC_TYPE = 'value'


def get_revenue_value(event_tags):
Expand All @@ -23,12 +26,94 @@ def get_revenue_value(event_tags):
if not isinstance(event_tags, dict):
return None

if EVENT_VALUE_METRIC not in event_tags:
if REVENUE_METRIC_TYPE not in event_tags:
return None

raw_value = event_tags[EVENT_VALUE_METRIC]
raw_value = event_tags[REVENUE_METRIC_TYPE]

if not isinstance(raw_value, numbers.Integral):
return None

return raw_value


def get_numeric_value(event_tags, logger=None):
"""
A smart getter of the numeric value from the event tags.

Args:
event_tags: A dictionary of event tags.
logger: Optional logger.

Returns:
A float numeric metric value is returned when the provided numeric
metric value is in the following format:
- A string (properly formatted, e.g., no commas)
- An integer
- A float or double
None is returned when the provided numeric metric values is in
the following format:
- None
- A boolean
- inf, -inf, nan
- A string not properly formatted (e.g., '1,234')
- Any values that cannot be cast to a float (e.g., an array or dictionary)
"""

logger_message_debug = None
numeric_metric_value = None

if event_tags is None:
logger_message_debug = 'Event tags is undefined.'
elif not isinstance(event_tags, dict):
logger_message_debug = 'Event tags is not a dictionary.'
elif NUMERIC_METRIC_TYPE not in event_tags:
logger_message_debug = 'The numeric metric key is not in event tags.'
else:
numeric_metric_value = event_tags[NUMERIC_METRIC_TYPE]
try:
if isinstance(numeric_metric_value, (numbers.Integral, float, str)):
# Attempt to convert the numeric metric value to a float
# (if it isn't already a float).
cast_numeric_metric_value = float(numeric_metric_value)

# If not a float after casting, then make everything else a None.
# Other potential values are nan, inf, and -inf.
if not isinstance(cast_numeric_metric_value, float) \
or math.isnan(cast_numeric_metric_value) \
or math.isinf(cast_numeric_metric_value):
logger_message_debug = 'Provided numeric value {} is in an invalid format.'\
.format(numeric_metric_value)
numeric_metric_value = None
else:
# Handle booleans as a special case.
# They are treated like an integer in the cast, but we do not want to cast this.
if isinstance(numeric_metric_value, bool):
logger_message_debug = 'Provided numeric value is a boolean, which is an invalid format.'
numeric_metric_value = None
else:
numeric_metric_value = cast_numeric_metric_value
else:
logger_message_debug = 'Numeric metric value is not in integer, float, or string form.'

except ValueError:
logger_message_debug = 'Value error while casting numeric metric value to a float.'
numeric_metric_value = None

# Log all potential debug messages while converting the numeric value to a float.
if logger and logger_message_debug:
logger.log(enums.LogLevels.DEBUG, logger_message_debug)

# Log the final numeric metric value
if numeric_metric_value is not None:
if logger:
logger.log(enums.LogLevels.INFO,
'The numeric metric value {} will be sent to results.'
.format(numeric_metric_value))
else:
if logger:
logger.log(enums.LogLevels.WARNING,
'The provided numeric metric value {} is in an invalid format and will not be sent to results.'
.format(numeric_metric_value))

return numeric_metric_value
1 change: 1 addition & 0 deletions optimizely/optimizely.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@
from .error_handler import NoOpErrorHandler as noop_error_handler
from .event_dispatcher import EventDispatcher as default_event_dispatcher
from .helpers import enums
from .helpers import event_tag_utils
from .helpers import validator
from .logger import NoOpLogger as noop_logger
from .logger import SimpleLogger
Expand Down
77 changes: 77 additions & 0 deletions tests/helpers_tests/test_event_tag_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,9 @@
# See the License for the specific language governing permissions and
# limitations under the License.

import sys
import unittest
from optimizely import logger

from optimizely.helpers import event_tag_utils

Expand Down Expand Up @@ -49,3 +51,78 @@ def test_get_revenue_value__revenue_tag(self):
self.assertEqual(0, event_tag_utils.get_revenue_value({'revenue': 0}))
self.assertEqual(65536, event_tag_utils.get_revenue_value({'revenue': 65536}))
self.assertEqual(9223372036854775807, event_tag_utils.get_revenue_value({'revenue': 9223372036854775807}))

def test_get_numeric_metric__invalid_args(self):
""" Test that numeric value is not returned for invalid arguments. """
self.assertIsNone(event_tag_utils.get_numeric_value(None))
self.assertIsNone(event_tag_utils.get_numeric_value(0.5))
self.assertIsNone(event_tag_utils.get_numeric_value(65536))
self.assertIsNone(event_tag_utils.get_numeric_value(9223372036854775807))
self.assertIsNone(event_tag_utils.get_numeric_value('9223372036854775807'))
self.assertIsNone(event_tag_utils.get_numeric_value(True))
self.assertIsNone(event_tag_utils.get_numeric_value(False))

def test_get_numeric_metric__no_value_tag(self):
""" Test that numeric value is not returned when there's no numeric event tag. """
self.assertIsNone(event_tag_utils.get_numeric_value([]))
self.assertIsNone(event_tag_utils.get_numeric_value({}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': 42}))

def test_get_numeric_metric__invalid_value_tag(self):
""" Test that numeric value is not returned when revenue event tag has invalid data type. """
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': None}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': 0.5}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': 12345}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': '65536'}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': True}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': False}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': [1, 2, 3]}))
self.assertIsNone(event_tag_utils.get_numeric_value({'non-value': {'a', 'b', 'c'}}))

def test_get_numeric_metric__value_tag(self):
""" Test that the correct numeric value is returned. """

# An integer should be cast to a float
self.assertEqual(12345.0, event_tag_utils.get_numeric_value({'value': 12345}, logger=logger.SimpleLogger()))

# A string should be cast to a float
self.assertEqual(12345.0, event_tag_utils.get_numeric_value({'value': '12345'}, logger=logger.SimpleLogger()))

# Valid float values
some_float = 1.2345
self.assertEqual(some_float, event_tag_utils.get_numeric_value({'value': some_float}, logger=logger.SimpleLogger()))

max_float = sys.float_info.max
self.assertEqual(max_float, event_tag_utils.get_numeric_value({'value': max_float}, logger=logger.SimpleLogger()))

min_float = sys.float_info.min
self.assertEqual(min_float, event_tag_utils.get_numeric_value({'value': min_float}, logger=logger.SimpleLogger()))

# Invalid values
self.assertIsNone(event_tag_utils.get_numeric_value({'value': False}, logger=logger.SimpleLogger()))
self.assertIsNone(event_tag_utils.get_numeric_value({'value': None}, logger=logger.SimpleLogger()))

numeric_value_nan = event_tag_utils.get_numeric_value({'value': float('nan')}, logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_nan, 'nan numeric value is {}'.format(numeric_value_nan))

numeric_value_array = event_tag_utils.get_numeric_value({'value': []}, logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_nan, 'Array numeric value is {}'.format(numeric_value_array))

numeric_value_none = event_tag_utils.get_numeric_value({'value': None}, logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_none, 'None numeric value is {}'.format(numeric_value_none))

numeric_value_invalid_literal = event_tag_utils.get_numeric_value({'value': '1,234'}, logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_invalid_literal, 'Invalid string literal value is {}'
.format(numeric_value_invalid_literal))

numeric_value_overflow = event_tag_utils.get_numeric_value({'value': sys.float_info.max * 10},
logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_overflow, 'Max numeric value is {}'.format(numeric_value_overflow))

numeric_value_inf = event_tag_utils.get_numeric_value({'value': float('inf')}, logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_inf, 'Infinity numeric value is {}'.format(numeric_value_inf))

numeric_value_neg_inf = event_tag_utils.get_numeric_value({'value': float('-inf')}, logger=logger.SimpleLogger())
self.assertIsNone(numeric_value_neg_inf, 'Negative infinity numeric value is {}'.format(numeric_value_neg_inf))

self.assertEqual(0.0, event_tag_utils.get_numeric_value({'value': 0.0}, logger=logger.SimpleLogger()))
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