Function calculate_high_level_stats
has a Cognitive Complexity of 116 (exceeds 5 allowed). Consider refactoring. Open
def calculate_high_level_stats(days: int = 1, countries: List = None, organization_types: List = None):
log.info("Creating high_level_stats")
map_configurations = filter_map_configs(countries=countries, organization_types=organization_types)
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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
File report.py
has 715 lines of code (exceeds 250 allowed). Consider refactoring. Open
import calendar
import logging
from collections import OrderedDict
from copy import deepcopy
from datetime import date, datetime, timedelta
Function calculate_vulnerability_statistics
has a Cognitive Complexity of 70 (exceeds 5 allowed). Consider refactoring. Open
def calculate_vulnerability_statistics(days: int = 366, countries: List = None, organization_types: List = None):
log.info("Calculation vulnerability graphs")
map_configurations = filter_map_configs(countries=countries, organization_types=organization_types)
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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
Cyclomatic complexity is too high in function calculate_high_level_stats. (28) Open
@app.task(queue="reporting")
def calculate_high_level_stats(days: int = 1, countries: List = None, organization_types: List = None):
log.info("Creating high_level_stats")
map_configurations = filter_map_configs(countries=countries, organization_types=organization_types)
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- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Cyclomatic complexity is too high in function calculate_vulnerability_statistics. (18) Open
@app.task(queue="reporting")
def calculate_vulnerability_statistics(days: int = 366, countries: List = None, organization_types: List = None):
log.info("Calculation vulnerability graphs")
map_configurations = filter_map_configs(countries=countries, organization_types=organization_types)
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- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Cyclomatic complexity is too high in function reduce_to_save_data. (8) Open
def reduce_to_save_data(moments: List[datetime]) -> List[datetime]:
# reduce to only the dates, easier to work with.
moments = reduce_to_days(moments)
results = []
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- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Cyclomatic complexity is too high in function compose_task. (8) Open
def compose_task(
organizations_filter: dict = dict(),
urls_filter: dict = dict(),
endpoints_filter: dict = dict(),
) -> Task:
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- Exclude checks
Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Function calculate_map_data
has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring. Open
def calculate_map_data(days: int = 366, countries: List = None, organization_types: List = None):
from django.db import OperationalError
log.info("calculate_map_data")
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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
Avoid deeply nested control flow statements. Open
for endpoint in urlrating["endpoints"]:
for rating in endpoint["ratings"]:
if rating["type"] not in measurement:
measurement[rating["type"]] = {
Avoid deeply nested control flow statements. Open
if url["url"] in noduplicates:
continue
noduplicates.append(url["url"])
Avoid deeply nested control flow statements. Open
for rating in urlrating["ratings"]:
# log.debug("- type: %s H: %s, M: %s, L: %s" %
# (rating['type'], rating['high'], rating['medium'], rating['low']))
Avoid deeply nested control flow statements. Open
if scan_type in ENDPOINT_SCAN_TYPES:
vs.ok = measurement[scan_type]["ok_endpoints"]
elif scan_type in URL_SCAN_TYPES:
vs.ok = measurement[scan_type]["ok_urls"]
else:
Avoid deeply nested control flow statements. Open
if urlrating["url"] in processed_urls:
# log.debug("Removed url because it's already in the report: %s" % urlrating["url"])
continue
Avoid deeply nested control flow statements. Open
for endpoint in url["endpoints"]:
# Only add the endpoint once for a series of ratings. And only if the
# ratings is not a repeated finding.
added_endpoint = False
Function compose_task
has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring. Open
def compose_task(
organizations_filter: dict = dict(),
urls_filter: dict = dict(),
endpoints_filter: dict = dict(),
) -> Task:
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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
Avoid deeply nested control flow statements. Open
if scan_type in PUBLISHED_SCAN_TYPES:
vs.urls = measurement[scan_type]["applicable_urls"]
vs.endpoints = measurement[scan_type]["applicable_endpoints"]
else:
# total
Avoid deeply nested control flow statements. Open
for r in url["ratings"]:
# stats over all different ratings
if r["type"] not in measurement["explained"]:
measurement["explained"][r["type"]] = {}
measurement["explained"][r["type"]]["total"] = 0
Function recreate_organization_reports
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
def recreate_organization_reports(organizations: List[int]):
"""Remove organization rating and rebuild a new."""
# todo: only for allowed organizations...
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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 default_organization_rating
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def default_organization_rating(organizations: List[int]):
"""
Generate default ratings so all organizations are on the map (as being grey). This prevents
empty spots / holes.
:return:
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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"