netbox/netbox/utilities/data.py
2024-07-13 15:00:16 -04:00

165 lines
4.2 KiB
Python

import decimal
from django.db.backends.postgresql.psycopg_any import NumericRange
from itertools import count, groupby
__all__ = (
'array_to_ranges',
'array_to_string',
'check_ranges_overlap',
'deepmerge',
'drange',
'flatten_dict',
'ranges_to_string',
'shallow_compare_dict',
'string_to_range_array',
)
#
# Dictionary utilities
#
def deepmerge(original, new):
"""
Deep merge two dictionaries (new into original) and return a new dict
"""
merged = dict(original)
for key, val in new.items():
if key in original and isinstance(original[key], dict) and val and isinstance(val, dict):
merged[key] = deepmerge(original[key], val)
else:
merged[key] = val
return merged
def flatten_dict(d, prefix='', separator='.'):
"""
Flatten nested dictionaries into a single level by joining key names with a separator.
:param d: The dictionary to be flattened
:param prefix: Initial prefix (if any)
:param separator: The character to use when concatenating key names
"""
ret = {}
for k, v in d.items():
key = separator.join([prefix, k]) if prefix else k
if type(v) is dict:
ret.update(flatten_dict(v, prefix=key, separator=separator))
else:
ret[key] = v
return ret
def shallow_compare_dict(source_dict, destination_dict, exclude=tuple()):
"""
Return a new dictionary of the different keys. The values of `destination_dict` are returned. Only the equality of
the first layer of keys/values is checked. `exclude` is a list or tuple of keys to be ignored.
"""
difference = {}
for key, value in destination_dict.items():
if key in exclude:
continue
if source_dict.get(key) != value:
difference[key] = value
return difference
#
# Array utilities
#
def array_to_ranges(array):
"""
Convert an arbitrary array of integers to a list of consecutive values. Nonconsecutive values are returned as
single-item tuples. For example:
[0, 1, 2, 10, 14, 15, 16] => [(0, 2), (10,), (14, 16)]"
"""
group = (
list(x) for _, x in groupby(sorted(array), lambda x, c=count(): next(c) - x)
)
return [
(g[0], g[-1])[:len(g)] for g in group
]
def array_to_string(array):
"""
Generate an efficient, human-friendly string from a set of integers. Intended for use with ArrayField.
For example:
[0, 1, 2, 10, 14, 15, 16] => "0-2, 10, 14-16"
"""
ret = []
ranges = array_to_ranges(array)
for value in ranges:
if len(value) == 1:
ret.append(str(value[0]))
else:
ret.append(f'{value[0]}-{value[1]}')
return ', '.join(ret)
#
# Range utilities
#
def drange(start, end, step=decimal.Decimal(1)):
"""
Decimal-compatible implementation of Python's range()
"""
start, end, step = decimal.Decimal(start), decimal.Decimal(end), decimal.Decimal(step)
if start < end:
while start < end:
yield start
start += step
else:
while start > end:
yield start
start += step
def check_ranges_overlap(ranges):
"""
Check if array of ranges overlap
"""
# sort the ranges in increasing order
ranges.sort(key=lambda x: x.lower)
for i in range(1, len(ranges)):
if (ranges[i - 1].upper >= ranges[i].lower):
return True
return False
def ranges_to_string(ranges):
"""
Generate a human-friendly string from a set of ranges. Intended for use with ArrayField.
For example:
[Range(1, 100), Range(200, 300)] => "1-100, 200-300"
"""
if not ranges:
return ''
return ', '.join([f"{r.lower}-{r.upper}" for r in ranges])
def string_to_range_array(value):
"""
Given a string in the format "1-100, 200-300" create an array of ranges. Intended for use with ArrayField.
For example:
"1-100, 200-300" => [1-100, 200-300]
"""
if not value:
return None
ranges = value.split(",")
values = []
for dash_range in value.split(','):
if '-' not in dash_range:
return None
lower, upper = dash_range.split('-')
values.append(NumericRange(int(lower), int(upper)))
return values