Process and Thread Management Utilities
Project description
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__
__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: .
debug
info
warning
error
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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