suitkaise 0.4.13

Write Python at hacker-level speeds.

Suitkaise

Write Python at hacker-level speeds.

(pronounced exactly like the word suitcase)

All files in this repository are licensed under the Apache License 2.0, including:

• source code
• examples
• documentation
• tests
• site content code
• and everything else

Installation

pip install suitkaise

Info

Explicitly supported Python versions: 3.11 and above

Currently, suitkaise is version 0.4.13.

suitkaise contains the following modules:

• cucumber: serialization engine
• circuits: flow control with the Circuit and BreakingCircuit classes.
• processing: upgraded multiprocessing with easy shared state
• paths: upgraded path class and utilities for path ops
• sk: modifiers for functions and class methods
• timing: timer class with deep statistics usable in many ways

Documentation

All documentation is available for download.

CLI:

• downloads to project root
• cwd must be within project root

suitkaise docs

Python:

from suitkaise import docs

# download to project root
docs.download()

# download to a specific path within your project
docs.download("path/within/project")

To place docs outside your project root, use the Permission context manager.

from suitkaise import docs

with docs.Permission():
    docs.download("/Users/joe/Documents")

You can also view more at suitkaise.info.

Quick Start

Parallel processing with shared state

from suitkaise.processing import Share, Pool, Skprocess
import logging

# put anything on Share — literally anything
share = Share()
share.counter = 0
share.results = []
share.log = logging.getLogger("worker")

class Worker(Skprocess):
    def __init__(self, share, item):
        self.share = share
        self.item = item

    def __run__(self):
        result = self.item * 2
        self.share.results.append(result)       # shared list
        self.share.counter += 1                 # shared counter
        self.share.log.info(f"done: {result}")  # shared logger

pool = Pool(workers=4)
pool.star().map(Worker, [(share, x) for x in range(20)])

print(share.counter)         # 20
print(len(share.results))    # 20
print(share.log.handlers)    # still works

Serialize anything

from suitkaise import cucumber

data = cucumber.serialize(any_object)
restored = cucumber.deserialize(data)

Time anything

from suitkaise.timing import timethis

@timethis()
def my_function():
    do_work()

my_function()
print(my_function.timer.mean)

from suitkaise.timing import TimeThis

with TimeThis() as timer:
    do_this()
    then_this()
    this_too()

# stops timing and records on exit

# get most recent time
print(timer.most_recent)

Add retry, timeout, background execution to any function

from suitkaise import sk

@sk
def fetch(url):
    return requests.get(url).json()

# retry 3 times, timeout after 5 seconds each attempt
data = fetch.retry(3).timeout(5.0)("https://api.example.com")

Cross-platform paths, normalized path types

from suitkaise.paths import Skpath

path = Skpath("data/file.txt")
print(path.rp)  # "data/file.txt" — same on every machine, every OS

from suitkaise.paths import autopath

@autopath()
def process(path: AnyPath):
    print(path.rp)  # always an Skpath, no matter what was passed in

process("data/file.txt")        # str → Skpath
process(Path("data/file.txt"))  # Path → Skpath

Circuit breakers

from suitkaise import Circuit

circuit = Circuit(num_shorts_to_trip=5, sleep_time_after_trip=1.0)

for request in requests:
    try:
        process(request)
    except ServiceError:
        circuit.short()

from suitkaise import BreakingCircuit

breaker = BreakingCircuit(num_shorts_to_trip=3, sleep_time_after_trip=1.0)

while not breaker.broken:
    try:
        result = risky_operation()
        break  # success
    except OperationError:
        breaker.short()  # count the failure

if breaker.broken:
    handle_failure()

For more, see the full documentation at suitkaise.info or download the docs with suitkaise docs in your terminal after installation.