ka-uts-dic 2.1.1.250415

Dictionary Utilities

Overview

Dictionary ‘Utilities’

Installation

Package ka_uts_dic can be installed from PyPI or Anaconda.

To install with pip:

$ python -m pip install ka_uts_dic

To install with conda:

$ conda install -c conda-forge ka_uts_dic

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. Miscellenous Methods

2. Flatten Methods

3. Set Methods

4. Get / Show Methods

5. Split Methods

6. Yield Methods

Miscellenous Methods

Miscellenous Methods of class Dic

Name	Description
add_counter_to_values	Apply the function “add_counter_with key” to the last key of the key list and the Dictionary localized by that key.
add_counter_to_value	Initialize the unintialized counter with 1 and add it to the Dictionary value of the key.
append_to_values	Apply the function “append with key” to the last key of the key list amd the Dictionary localized by that key.
append_to_value	Initialize the unintialized counter with 1 and add it to the Dictionary value of the key.
change_keys_by_keyfilter	Change the keys of the Dictionary by the values of the keyfilter Dictionary with the same keys.
copy	Copy the value for keys from source to target dictionary.
extend_values	Appply the function “extend_by_key” to the last key of the key list and the dictionary localized by that key.
extend_value	Add the item with the key as element to the dictionary if the key is undefined in the dictionary. Extend the element value with the value if both supports the extend function.
increment_values	Appply the function “increment_by_key” to the last key of the key list and the Dictionary localized by that key.
increment_value	Increment the value of the key if it is defined in the Dictionary, otherwise assign the item to the key
is_not	Return False if the key is defined in the Dictionary and the key value if not empty, othewise returm True.
locate	Return the value of the key reached by looping thru the nested Dictionary with the keys from the key list until the value is None or the last key is reached.
locate_last_value	Apply the locate function for the key list which contains all items except the last one.
lstrip_keys	Remove the first string found in the Dictionary keys.
merge	Merge two Dictionaries.
new	create a new dictionary from keys and values.
normalize_value	Replace every Dictionary value by the first list element of the value if it is a list with only one element.
nvl	Return the Dictionary if it is not None otherwise return the empty Dictionary “{}”.
rename_key_using_kwargs	Rename old Dictionary key with new one get from kwargs.
replace_string_in_keys	Replace old string contained in keys with new one.
rename_key	Rename old Dictionary key with new one.
round_values	Round values selected by keys,
to_aod	Convert dictionary to array of dictionaries.

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

Get / Show Methods

Get Show Methods class Dic

Name	Description
get	Type-dependent extended flattening of array elements
get_yn_value	Type-dependent extended flattening of array elements
sh_dic	Type-dependent extended flattening of array elements
sh_d_filter	Type-dependent extended flattening of array elements
sh_d_index_d_values	Type-dependent extended flattening of array elements
sh_d_vals_d_cols	Type-dependent extended flattening of array elements
sh_prefixed	Type-dependent extended flattening of array elements
sh_keys	Type-dependent extended flattening of array elements
show_sorted_keys	Type-dependent extended flattening of array elements
sh_value	Show value of dictionary element selected by keys
sh_values	Convert the dictionary into an array by using a key filter. The array elements are the values of all dictionary elements where the key is the given single key or where the key is contained in the key list.
sh_value2keys	Convert the dictionary to a new dictionary by using the values as new keys and all keys mapped to the same value as new value.

Set Methods

Set Methods of class Dic

Name	Description
set	Type-dependent extended flattening of array elements
set_kv_not_none	Type-dependent extended flattening of array elements
set_by_keys	Type-dependent extended flattening of array elements
set_by_key_pair	Type-dependent extended flattening of array elements
set_if_none	Type-dependent extended flattening of array elements
set_by_div	Type-dependent extended flattening of array elements
set_divide	Type-dependent extended flattening of array elements
set_first_tgt_with_src_using_d_tgt2src	Type-dependent extended flattening of array elements
set_format_value	Type-dependent extended flattening of array elements
set_multiply_with_factor	Type-dependent extended flattening of array elements
set_tgt_with_src	Type-dependent extended flattening of array elements
set_tgt_with_src_using_doaod_tgt2src	Type-dependent extended flattening of array elements
set_nonempty_tgt_with_src_using_d_tgt2src
set_tgt_with_src_using_d_src2tgt	Type-dependent extended flattening of array elements
set_tgt_with_src_using_d_tgt2src	Type-dependent extended flattening of array elements

Split Methods

Split Methods of class Dic

Name	Description
split_by_value_endwith	Split the dictionary into a tuple of dictionaries using the the condition “the element value ends with the given value”. The first tuple element is the dictionary of all dictionary elements whose value ends with the given value; the second one is the dictionary of the other elements.
split_by_value	Split the dictionary into a tuple of dictionaries using the given value. The first tuple element is the dictionary of all elements whose value is equal to the given value; the second one is the dictionary of the other elements.
split_by_value_is_int	Split the dictionary into a tuple of dictionaries using the condition “the element value is of type integer”. The first tuple element is the dictionary of all elements whose value is of type integer; the second one is the dictionary of the other elements.

Yield Methods

Yield Methods of class Dic

Name	Description
yield_values_with_keyfilter	Yield the values of all elements which are selected by the given key filter.

Modules for Dictionaries of Dictionaries

Modules for Dictionary of Dictionaries

Name	Description
dod.py	Management of Dictionary of Dictionaries.
d2v.py	Management of 2-dimensional Dictionary of Dictionaries. A 2 dimensional Dictionary of Dictionaries contains dictionaries of Dictionaries as values.
d3v.py	Management of 3-dimensional Dictionary of Dictionaries. A 3 dimensional Dictionary of Dictionaries contains Dictionaries of Dictionaries of Dictionaries as values.

Modules for Dictionaries of Arrays

Modules for Dictionaries of Arrays

Name	Description
doaod.py	Management of Dictionary of Arrays of Dictionaries.
doa.py	Management of Dictionary of Arrays.

Module: doaod.py

Classes

The Module doaoa.py contains the static class DoAoD:

Class: DoAoD

The static Class DoAoD is used to manage Dictionary of Arrays of Dictionaries; it contains the subsequent methods.

Methods

Methods-of-class-DoAoD

Name	Description
dic_value_is_empty	Check if all keys of the given Dictionary of Arrays of Dictionaries are found in any Dictionary of the Array of Dictionaries and the value for the key is not empty.
sh_aod_unique	Convert Dictionary of Array of Dictionaries to unique Array of Dictionaries.
sh_aod	Convert Dictionary of Array of Dictionaries to Array of Dictionaries.
sh_unique	Convert Dictionary of Array of Dictionaries to Dictionaries of unique Array of Dictionaries.
union_by_keys	Convert filtered Dictionary of Arrays of Dictionaries by keys to an Array of distinct Dictionaries
union	Convert Dictionary of Arrays of Dictionaries to an Array of distinct Dictionaries

Module: doa.py

Classes

The Module doa.py contains the static classes DoA:

Class: DoA

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

Methods

Methods of class DoA

Name	Description
apply
append
append_by_key
append_unique
extend
set
sh_d_pddf
sh_union

Modules for Dictionaries of Dictionaries ************************+++++++*****

Modules for Dictionaries of Dictionaries

Name	Description
dodoa.py	Management of Dictionary of Dictionaries of Arrays.
dodod.py	Management of Dictionary of Dictionaries of Dictionaries.
dod.py	Management of Dictionary of Dictionaries.

Module: dodoa.py

Classes

The Module dodoa.py contains the static class DoDoA:

Class: DoDoA

The static Class DoDoA is used to manage Dictionary of Dictionaries of Arrays; it contains the subsequent methods.

Methods

Methods of class DoDoA

Name	Description
append
sh_union

Module: dodod.py

Classes

The Module dodod.py contains the static Class DoDoD:

Class: DoDoD

The static Class DoDoD is used to manage Dictionary of Dictionaries of Dictionaries; it contains the subsequent methods.

Methods

Methods of class DoDoD

Name	Description
set
yield_values

Module: dod.py

Classes

The Module dod.py contains the static Class DoD:

Class: DoD

The static Class DoD is used to manage Dictionary of Dictionaries; it contains the subsequent methods.

Methods

DoD Methods

Name	Description
nvl	Return the Dictionary of Dictionaries if it is not None otherwise return the empty Dictionary “{}”.
replace_keys	Recurse through the Dictionary while building a new one with new keys and old values; the old keys are translated to new ones by the keys Dictionary.
yield_values

Module: dodows.py

Classes

The Module dodows.py contains the static Class DoDoWs:

Class: DoDoWs

The static Class DoDoWs is used to manage Dictionary of Dictionaries of Worksheets; it contains the subsequent methods.

Methods

Methods of class DoDoWs

Name	Description
write_workbook	Write a workbook using a Dictionary of Dictionaries of worksheets.

Modules for Dictionaries of Ojects

The Module Type Modules for Dictionaries of Objects contains the following Modules:

Management Modules for Dictionaries of Ojects

Name	Description
doo.py	Management of Dictionary of Objects.

Module: doo.py

The Module doo.py contains the static Classes DoO.

Class: DoO

The static Class DoO is used to manage Dictionary of Objects; it contains the subsequent methods.

Methods

Methods of class DoO

Name	Description
replace_keys	Replace the keys of the given Dictionary by the values found in the given keys Dictionary if the values are not Dictionaries; otherwise the function is called with these values.

Modules for Dictionaries of Dataframes

Modules

The Module Type Modules for Dictionaries of Dataframes contains the following Modules:

Management Modules for Dictionary of Dataframes

Name	Description
dopddf.py	Management of Dictionary of Panda Dataframes.
dopldf.py	Management of Dictionary of Polars Dataframes.

Module: dopddf.py

The Module dopddf.py contains only the static Class DoPdDf.

Class: DoPdDf

The static Class DoPdDf is used to manage Dictionaries of Panda Dataframes; it contains the subsequent methods.

Methods

Methodsc of class DoPdDf

Name	Description
set_ix_drop_key_filter	Apply Function set_ix_drop_col_filter to all Panda Dataframe values of given Dictionary.
to_doaod	Replace NaN values of Panda Dataframe values of given Dictionary and convert them to Array of Dictionaries.

Module: dopldf.py

The Module dopldf.py contains only the static Class DoPlDf:

Class: DoPlDf

The static Class DoPlDf is used to manage Dictionary of Polars Dataframes; it contains the subsequent Methods.

Methods

Methods of class DoPlDf

Name	Description
to_doaod	Replace NaN values of Polars Dataframe values of given Dictionary and convert them to Array of Dictionaries.

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
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		æevupreg
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 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

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 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	Python packages sub-directories are directories contained in python packages.
Special Python package sub-directory	Special Python package sub-directories are python package sub-directories with with a special meaning

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

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

Python method	Python methods are python functions defined in python modules.
Special python method	Special python methods are python functions with special names and functionalities.
Python class	Python classes are defined in python modules.
Python class method	Python class methods are python methods defined python classes.

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

      • Miscellenous Methods

      • Flatten Methods

      • Get / Show Methods

      • Set Methods

      • Split Methods

      • Yield Methods

• Modules for Dictionaries of Dictionaries

• Modules for Dictionaries of Arrays

  • Module: doaod.py

    • Classes

    • Class: DoAoD

      • Methods

  • Module: doa.py

    • Classes

    • Class: DoA

      • Methods

  • Module: dodoa.py

    • Classes

    • Class: DoDoA

      • Methods

  • Module: dodod.py

    • Classes

    • Class: DoDoD

      • Methods

  • Module: dod.py

    • Classes

    • Class: DoD

      • Methods

  • Module: dodows.py

    • Classes

    • Class: DoDoWs

      • Methods

• Modules for Dictionaries of Ojects

  • Module: doo.py

    • Class: DoO

      • Methods

• Modules for Dictionaries of Dataframes

  • Modules

  • Module: dopddf.py

    • Class: DoPdDf

      • Methods

  • Module: dopldf.py

    • Class: DoPlDf

      • Methods

• Appendix

  • Package Logging

    • Description

    • Log message types

      • Application parameter for logging

      • Log type and Log directories

      • Log files naming

        • Conventions

        • Examples

  • 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