pappardelle 0.15

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Pappardelle

Pappardelle is a Python module that provides helper functions for lists and dates.

Getting Started

Install the Python module with

python3 -m pip install pappardelle

Then, within your Python (.py) source code, like in this example:

from pappardelle import compare_lists

# Call the imported function:
compare_lists(
    [1, 2, 3],
    [2, 3, 5]
)

# Returns the following
{
    '=': [2, 3],
    '+': [1],
    '-': [5]
}

Change Log

• Version 0.15
  • are_dict_equal added
• Version 0.14
  • Version pulled because are_dict_equal was not in the init.py
• Version 0.13
  • Added value_or_default (because string_or_default only worked with strings)
• Version 0.12
  • Added if_whitespace_make_null
• Version 0.11
  • string_or_default accepts varargs, instead of only 2 parameters
• Version 0.9
  • Added list_first
• Version 0.8
  • Renamed deep_copy_dict_no_overwrite to deep_copy_dict
• Version 0.7
  • Added deep_copy_dict_no_overwrite
• Version 0.6
  • Added get_dict_path
• Version 0.5
  • Added make_dict_path, set_dict_path
• Version 0.4
  • Added a function decorator for measuring the function execution time
• Version 0.3
  • Use date as the default type for day/week/month/year relative functions, and datetime as the default type for hour/minute/second relative functions
• Version 0.2
  • compare_lists returns a dictionary with keys: =, +, - (instead of: matched, + -)
  • Added relative date functions
• Version 0.1
  • First release with compare_lists and lookup_lists functions

References

List Functions

compare_lists(list1, list2, optional lambda comparator)

lookup_lists(list1, list2, optional lambda comparator)

Date Functions

days_before(num_of_days, from_date)

days_ago(num_of_days)

days_after(num_of_days, from_date)

days_since(num_of_days, from_date)

tomorrow()

yesterday()

days_before_at_this_time(num_of_days, from_datetime)

days_ago_at_this_time(num_of_days, from_datetime)

days_after_at_this_time(num_of_days, from_datetime)

days_since_at_this_time(num_of_days, from_datetime)

tomorrow_at_this_time()

yesterday_at_this_time()

hours_before(num_of_hours, from_date)

hours_ago(num_of_hours)

hours_after(num_of_hours, from_date)

hours_since(num_of_hours, from_date)

minutes_before(num_of_minutes, from_date)

minutes_ago(num_of_minutes)

minutes_after(num_of_minutes, from_datee)

minutes_since(num_of_minutes, from_date)

seconds_before(num_of_seconds, from_date)

seconds_ago(num_of_seconds)

seconds_after(num_of_seconds, from_date)

seconds_since(num_of_seconds, from_date)

weeks_before(num_of_weeks, from_date)

weeks_ago(num_of_weeks)

weeks_after(num_of_weeks, from_date)

weeks_since(num_of_weeks, from_date)

weeks_before_at_this_time(num_of_weeks, from_datetime)

weeks_ago_at_this_time(num_of_weeks, from_datetime)

weeks_after_at_this_time(num_of_weeks, from_datetime)

weeks_since_at_this_time(num_of_weeks, from_datetime)

months_before(num_of_months, from_date)

months_ago(num_of_months)

months_after(num_of_months, from_date)

months_since(num_of_months, from_date)

months_before_at_this_time(num_of_months, from_datetime)

months_ago_at_this_time(num_of_months, from_datetime)

months_after_at_this_time(num_of_months, from_datetime)

months_since_at_this_time(num_of_months, from_datetime)

years_before(num_of_years, from_date)

years_ago(num_of_years)

years_after(num_of_years, from_date)

years_since(num_of_years, from_date)

years_before_at_this_time(num_of_years, from_datetime)

years_ago_at_this_time(num_of_years, from_datetime)

years_after_at_this_time(num_of_years, from_datetime)

years_since_at_this_time(num_of_years, from_datetime)

Dictionary Functions

make_dict_path(a_dict, a_path)

set_dict_path(a_dict, a_path, a_val)

get_dict_path(a_dict, a_path)

deep_copy_dict(a_src, a_dest, optional overwrite)

are_dict_equal(first, second)

Function Decorators

exec_time

String Functions

string_or_default(primary_value, secondary_value)

is_null_or_whitespace(val)

is_null_or_empty(val)

str_ignorecase_equals(str1, str2)

str_ignorecase_index(str1, str2)

Value Functions

value_or_default(primary_value, secondary_value)

Author

My name is Katkam Nitin Reddy. I am a former software developer living (mostly) in Dubai. I created this library for functionality that I find myself re-writing in my scripts.

Acknowledgement

I would like to thank my mom, Katkam Nita Reddy, and my dad, Katkam Narsing Reddy, who have always motivated me to learn and contribute to the open-source community.

Examples

Example 1. Within a Server State Management application

from pappardelle import compare_lists
from pprint import pprint

desired_state = [
  {"package_name": "net-tools"},
  {"package_name": "build-essential"},
  {"package_name": "bind9-dnsutils"}
]

current_state = [
  {"package_name": "build-essential"},
  {"package_name": "squid"}
]

change_plan = compare_lists(
  desired_state,
  current_state,
  lambda x, y: x['package_name'] == y['package_name']
)

pprint(change_plan)

# Output
# {'+': [{'package_name': 'net-tools'}, {'package_name': 'bind9-dnsutils'}],
# '-': [{'package_name': 'squid'}],
# '=': [{'package_name': 'build-essential'}]}