ka_uts_prc

Overview

Utilities for Process and Thread Management

Installation

The package ka_uts_prc can be installed from PyPI or Anaconda.

To install with pip:

$ python -m pip install ka_uts_prc

To install with conda:

$ conda install -c conda-forge ka_uts_prc

This requires that the readme extra is installed:

$ python -m pip install ka_uts_prc[readme]

Modules

The Package ka_uts_prc contains the subsequent modules.

Modules of package ka_uts_prc*
Module
Name Description
prc.py Management of "array of arrays".
run.py Array of Dictionaries
Processing Module with classes
Module Static Classes
Name Type Name Description
prc Task runner for iterator Ra Process Task decorated by the ray remote decorator for all iterator items.
Co Process Task using concurrent futures with process- or thread-pool.
Mp Process Tasks using multiprocessing with process- or thread-pool
Sp Process Task sequentially for all iterator items.
Prc Create iterator for path-templates optionally modified by transformer functions (if defined).
Process Tasks by selecting the run-, process- or thread-function of one of the Processing classes Ra, Co, Mp, Sp with the run_method using the function table of run methods: d_run_method_2_fnc.
Special-Modules without classes
Module Type Statements
__init__ Package directory marker Module with no Statements; the module is used to mark the directory it contains as a package. A dummy Module enforces explicit imports and thus clear namespace use and call them with the dot dot notation
__version__ Version Assignment Statements for Version System Variables

Processing Modul: prc_by_dir

The Modul prc_by_dir contains the subsequent static classes with static variables and methods

Classes of module prc_by_dir
Static Classes
Name Description
Ra Execute tasks using Ray
Co Execute tasks using Concurrent futures
Mp Execute tasks using multiprocessing
Sp Execute tasks using single processing
Prc Run tasks with selected method

static Class: Ra

static Methods
Ra static Methods of prc
Static Method Parameter: P / Return Value: RV
Name Description Name Type P/RV Description
process Run tasks in parallel by executing the task decorated with with the ray remote decorator for every iterator item cls class P current class
kwargs T_Dic P keyword arguments
  None RV no return value

static Class: Co

static Methods
Co static Methods of prc
Static Method Parameter: P / Return Value: RV
Name Description Name Type P/RV Description
process Run tasks in parallel by applying the map method of the concurrent futures process pool executor to the task and the iterator. cls class P current class
kwargs T_Dic P keyword arguments
  None RV no return value
thread Run tasks in parallel by applying the map method of the concurrent futures thread pool executor to the task and the iterator. cls class P current class
kwargs T_Dic P keyword arguments
  None RV no return value

static Class: Mp

static Methods
Mp static Methods of prc
Static Method Parameter: P / Return Value: RV
Name Description Name Type P/RV Description
process Run tasks in parallel by applying the map method of the multiprocessing process pool to the task and the iterator. cls class P current class
kwargs T_Dic P keyword arguments
  None RV no return value
thread Run tasks in parallel by applying the map method of the multiprocessing thread pool to the task and the iterator. cls class P current class
kwargs T_Dic P keyword arguments
  None RV no return value

static Class: Sp

static Methods
Sp static Methods of prc
Static Method Parameter: P / Return Value: RV
Name Description Name Type P/RV Description
run Run tasks sequentially for all items of the iterator cls class P current class
kwargs T_Dic P keyword arguments
  None RV no return value

static Class: Prc

static Variables
Prc static Variables of prc
Static Variable
Name Type Description
d_run_method_2_fnc T_Dic Dictionary to translate run methods into run functions
static Methods
Prc static Methods of prc
Static Method Parameter: P / Return Value: RV
Name Description Name Type P/RV Description
do Select executer with run method and run method function table. cls class P current class
Create iterator using the Task function: yield_dl_template. kwargs T_Dic P keyword arguments
Run the Task function: task with the executor.   None RV no return value

Special Modul: __version__

The Modul __version__ contains no classes, but assignment statements for system variables used by versioning.

__version_ System Variables
System Variable Example
__title__ 'ka_uts_prc'
__description__ 'Processing Utilities.'
__url__ 'https://ka-com.readthedocs.io/en/latest'
__version___ '1.0.0.24.08.24'
__build__ 0x022200
__author_email_ 'Bernd Stroehle'
__license__ 'Apache-2.0'
__copyright__ 'Copyright 2024 Bernd Stroehle
__cake__ u'u2728 U0001f370 u2728'

Module Data

System Variable Description
log.main.tenant.yml __copyright__ 'ka_uts_prc' 'Copyright 2023 bs29'

Appendix

Package Logging

Description

The Standard or user specifig logging is carried out by the log.py module of the logging package ka_uts_log using the standard- or user-configuration files in the logging package configuration directory:

  • <logging package directory>/cfg/ka_std_log.yml,
  • <logging package directory>/cfg/ka_usr_log.yml.

The Logging configuration of the logging package could be overriden by yaml files with the same names in the application package- or application data-configuration directories:

  • <application package directory>/cfg
  • <application data directory>/cfg.

Log message types

Logging defines log file path names for the following log message types: .

  1. debug
  2. info
  3. warning
  4. error
  5. critical

Log types and Log directories

Single or multiple Application log directories can be used for each message type:

Log types and directoriesg
Log type Log directory
long short multiple single
debug dbqs dbqs logs
info infs infs logs
warning wrns wrns logs
error errs errs logs
critical crts crts logs

Application parameter for logging

Application parameter used in log naming
Name Decription Values Example
dir_dat Application data directory   /otev/data
tenant Application tenant name   UMH
package Application package name   otev_xls_srr
cmd Application command   evupreg
pid Process ID   681025
log_ts_type Timestamp type used in logging files|ts, dt ts, dt' ts
log_sw_single_dir Enable single log directory or multiple log directories True, False True

Log files naming

Naming Conventions
Naming conventions for logging file paths
Type Directory File
debug /<dir_dat>/<tenant>/RUN/<package>/<cmd>/<Log directory> <Log type>_<ts>_<pid>.log
info /<dir_dat>/<tenant>/RUN/<package>/<cmd>/<Log directory> <Log type>_<ts>_<pid>.log
warning /<dir_dat>/<tenant>/RUN/<package>/<cmd>/<Log directory> <Log type>_<ts>_<pid>.log
error /<dir_dat>/<tenant>/RUN/<package>/<cmd>/<Log directory> <Log type>_<ts>_<pid>.log
critical /<dir_dat>/<tenant>/RUN/<package>/<cmd>/<Log directory> <Log type>_<ts>_<pid>.log
Naming Examples
Naming examples for logging file paths
Type Directory File
debug /data/otev/umh/RUN/otev_xls_srr/evupreg/logs debs_1737118199_9470.log
info /data/otev/umh/RUN/otev_xls_srr/evupreg/logs infs_1737118199_9470.log
warning /data/otev/umh/RUN/otev_xls_srr/evupreg/logs wrns_1737118199_9470.log
error /data/otev/umh/RUN/otev_xls_srr/evupreg/logs errs_1737118199_9470.log
critical /data/otev/umh/RUN/otev_xls_srr/evupreg/logs crts_1737118199_9470.log

Python Terminology

Python Packages

Overview

Python Packages Overview
Name Definition
Python package Python packages are directories that contains the special module __init__.py and other modules, packages files or directories.
Python sub-package Python sub-packages are python packages which are contained in another pyhon package.
Python package sub-directory directory contained in a python package.
Python package special sub-directory Python package sub-directories with a special meaning like data or cfg

Examples

Python Package sub-directory-Examples
Name Description
bin Directory for package scripts.
cfg Directory for package configuration files.
data Directory for package data files.
service Directory for systemd service scripts.

Python package files

Overview

Python package overview files
Name Definition
Python package files Files within a python package.
Special python package files Package files which are not modules and used as python and used as python marker files like __init__.py.
Python package module Files with suffix .py; they could be empty or contain python code; other modules can be imported into a module.
Special python package module Modules like __init__.py or main.py with special names and functionality.

Examples

Python package examples files
Name Type Description
py.typed Type checking marker file The py.typed file is a marker file used in Python packages to indicate that the package supports type checking. This is a part of the PEP 561 standard, which provides a standardized way to package and distribute type information in Python.
__init__.py Package directory marker file The dunder (double underscore) module __init__.py is used to execute initialisation code or mark the directory it contains as a package. The Module enforces explicit imports and thus clear namespace use and call them with the dot notation.
__main__.py entry point for the package The dunder module __main__.py serves as an entry point for the package. The module is executed when the package is called by the interpreter with the command python -m <package name>.
__version__.py Version file The dunder module __version__.py consist of assignment statements used in Versioning.

Python methods

Overview

Python methods overview
Name Description
Python method Python functions defined in python modules.
Special python method Python functions with special names and functionalities.
Python class Classes defined in python modules.
Python class method Python methods defined in python classes

Examples

Python methods examples
Name Type Description
__init__ class object constructor method The special method __init__ is called when an instance (object) of a class is created; instance attributes can be defined and initalized in the method.

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