tykit (Tell You kit)

📜 Description

'tykit--Tell You kit', pronounced like 'ticket', is a toolkit to monitor your scripts' status easily, which has rich and pretty output for progress bar and console logs. The tykit may support more decent output in the future

⚙️ Install

tykit can be easily installed with pip as below

# for python2
pip install tykit
# for python3
pip3 install tykit

🌟 Features

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🚀 ProgressBar 进度条

for loop,range,multi-threading and multi-threading with multi-params

pb_range(*args)

This function is just like the python builtin function range()

from tykit import pb_range
from time import sleep

# use pb_range just like range()
for i in pb_range(50):
    sleep(0.001)

# or use it as a generator, with some iterabel_files
from tykit import pb_iter
some_task = lambda x: x*x
iterable_file = [x for x in range(100)]

for i in pb_iter(iterable_file):
    some_task(i)

pb_multi_thread(workers:int,task,iter_files)

This function intergrates the multi-threading with ProgressBar, which could show the master task's progress in a multi-threading script. The param: workers defined the max-worker of the multi-threading.

from tykit import pb_multi_thread as pbmt

# Firstly, define your task func
task_func = lambda x: x*x*x
# Put your jobs in a iterable data structure
jobs = [x for x in range(1000)]
# run multi-threading with pb(ProgressBar)
# and save the result in a list
max_workers = 20
result = pbmt(max_workers,task_func,jobs)
print(result[10])

pb_multi_thread_partial(workers:int,task,iter_files,**kwargs)

This function is a higher api of pb_multi_thread(), which is suitable for the multi-threading tasks with more than one parameters.

from tykit import pb_multi_thread_partial as pbmtp

# define a task func with multi params
def task(x,a,b,c):
    return x+a+b+c
# Put your jobs in a iterable data structure
jobs = [x for x in range(1000)]
# run multi-threading with partial
max_workers = 20

result = pbmtp(max_workers,task,jobs,a=10,b=100,c=-20)
print(result[:10])

🛎️ rlog (Rich-log)

rlog is a module for log printing with rich. It has some functions to print pretty logs and hints. The usage is simple and neat. The samples are shown below👇(for more details, you can find in usage_of_rlog.py in examples)