common/decorators.py
Function auto_cache
has a Cognitive Complexity of 25 (exceeds 5 allowed). Consider refactoring. Open
Open
def auto_cache(expiration=60*60, key=None):
"""
A decorator to memorize the results of a function call in memcache. Use this
in preference to doing your own memcaching, as this function avoids version
collisions etc...
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function deferred_task_decorator
has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring. Open
Open
def deferred_task_decorator(method):
@functools.wraps(method)
def defer_method(*args, **kwargs):
# Collecting defered task header information
headers = {}
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"