ka-uts-flt 4.0.1.250513

Flatten of Dictionaries Utilities

Overview

Utilities to Flatten Dictionaries

Installation

Package ka_uts_flt can be installed from PyPI or Anaconda.

To install with pip:

$ python -m pip install ka_uts_flt

To install with conda:

$ conda install -c conda-forge ka_uts_flt

Package logging

c.f.: Appendix: Package Logging

Package files

Classification

The Files of Package ka_uts_log could be classified into the follwing file types:

1. Special Python package files. ==> Appendix: Special python package files a. py.typed

2. Special Python package modules

   1. __init__.py. ==> Appendix: Python package Sub-directoriess

   2. __version__.py

3. Python package modules

   1. Modules for dictionaries

      1. dic.py

   2. Modules for dictionaries of arrays

      1. doaod.py

      2. doa.py

   3. Modules for dictionaries of callables

      1. doc.py

   4. Modules for dictionaries of dataframes

      1. dopddf.py

      2. dopldf.py

   5. Modules for dictionaries of dictionaries

      1. dodoa.py

      2. dodoa.py

      3. dodod.py

      4. dodows.py

      5. dod.py

   6. Modules for dictionaries of objects

      1. doo.py

Modules for Dictionaries

Management Modules for Dictionary

Name	Description
dic.py	Management of Dictionary

Module: dic.py

Classes

The Module dic.py contains the followinga static classes:

Name	Description
Arr	Management of Arrays
Dic	Management of Dictionaries

Class: Arr

The static Class Arr is used to manage Arrays used for flattening of dictionaries; it contains the subsequent methods.

Arr Methods

Arr Methods

Name	Description
flatten_merge_to_aod	Type-dependent flattening of array elements to arrays of dictionaries and merging of these arrays.
flattenx_keys	show last key or concatinate keys with separator of flatten-dictionary if concatination is requested by given switch defined in flatten-dictionary.
flattenx_merge_to_aod	Type-dependent extended flattening of array elements to arrays of dictionaries and merging of these arrays.

Class: Dic

The static Class Dic is used to manage Dictionaries; The Methods of Class Dic could be classified into the following method types:

1. Flatten Methods

Flatten Methods

Flatten Methods of class Dic

Name	Description
flatten_to_aod	Flatten dictionary to array of dictionaries
flatten_using_d2p	Flatten dictionary nded flattening of array elements
flatten	Flatten dictionary
flattenx_to_aod	Flatten dictionary in array of dictionaries in extended mode.
flattenx_using_d2p	Type-dependent extended flattening of array elements
flattenx	Flatten dictionary in extended mode

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 configuration files ka_std_log.yml or ka_usr_log.yml in the configuration directory cfg of the logging package ka_uts_log. The Logging configuration of the logging package could be overriden by yaml files with the same names in the configuration directory cfg of the application packages.

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

Application parameter for logging

Application parameter used in log naming

Name	Decription	Values	Example
Value|Type
dir_dat	Application data directory		Path	/otev/data
tenant	Application tenant name		str	UMH
package	Application package name		str	otev_xls_srr
cmd	Application command		str	evupreg
pid	Process ID		str	evupreg
log_ts_type	Timestamp type used in loggin files	ts	Timestamp	ts
		dt	Datetime
log_sw_single_dir	Enable single log directory or multiple log directories	True	Bool	True
		False	Bool
log_sw_pid	Enable display of pid in log file name	True	Bool	True
		False	Bool

Log type 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

Log files 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

Examples (with log_ts_type = ‘ts’)

The examples use the following parameter values.

1. dir_dat = ‘/data/otev’

2. tenant = ‘UMH’

3. package = ‘otev_srr’

4. cmd = ‘evupreg’

5. log_sw_single_dir = True

6. log_sw_pid = True

7. log_ts_type = ‘ts’

Naming examples for logging file paths

Type	Directory	File
debug	/data/otev/umh/RUN/otev_srr/evupreg/logs	debs_1737118199_9470.log
info	/data/otev/umh/RUN/otev_srr/evupreg/logs	infs_1737118199_9470.log
warning	/data/otev/umh/RUN/otev_srr/evupreg/logs	wrns_1737118199_9470.log
error	/data/otev/umh/RUN/otev_srr/evupreg/logs	errs_1737118199_9470.log
critical	/data/otev/umh/RUN/otev_srr/evupreg/logs	crts_1737118199_9470.log

Python Terminology

Python package

Overview

Python package

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-directories

Overview

Python package sub-directories

Name	Definition
Python package sub-directory	directory contained in a python package.
Special python package sub-directory	Python package sub-directories with a special meaning like data or cfg.

Special python package sub-directories

Overview

Special python sun-directories

Name	Description
data	Directory for package data files.
cfg	Directory for package configuration files.

Python package files

Overview

Python package files

Name	Definition
Python package file	File within a python package.
Special python package file	Python package file which are not modules and used as python marker files like __init__.py.
Python package module	File with suffix .py which could be empty or contain python code; Other modules can be imported into a module.
Special python package module	Python package module with special name and functionality like main.py or __init__.py.

Special python package files

Overview °°°°°°°°

Special python package 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.

Special python package modules

Overview °°°°°°°°

Special Python package modules

Name	Type	Description
__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 elements

Overview °°°°°°°°

Python elements

Name	Definition
Python method	Function defined in a python module.
Special python method	Python method with special name and functionality like init.
Python class	Python classes are defined in python modules.
Python class method	Python method defined in a python class.
Special Python class method	Python class method with special name and functionality like init.

Special python methods

Overview °°°°°°°°

Special python methods

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.

Table of Contents

Table of Content

• Overview

• Installation

• Package logging

• Package files

• Modules for Dictionaries

  • Module: dic.py

    • Classes

    • Class: Arr

      • Arr Methods

    • Class: Dic

      • Flatten Methods

• Appendix

  • Package Logging

    • Description

    • Log message types

      • Application parameter for logging

      • Log type and Log directories

      • Log files naming

        • Conventions

        • Examples (with log_ts_type = ‘ts’)

  • Python Terminology

    • Python package

    • Python package sub-directories

    • Special python package sub-directories

    • Python package files

      • Overview

      • Special python package files

      • Special python package modules

    • Python elements

      • Special python methods

  • Table of Contents