Skip to main content

A powerfull lightweight library to check and variabilize your configuration files

Project description

Pyjeb

PyJeb is a powerfull lightweight library to check and variabilize your configuration files. The main features of pyjeb are:

  • Control the structure of a configuration file (missing value, type, format, valid set)
  • Add default value for missing fields
  • Setup variable values (system or user defined)
  • Allow case insensitive parameters
  • Allow to add executable functions in configuration

Get started

Steps

  1. Install PyJeb package
  2. Setup control file
  3. Setup configuration file
  4. Call control_and_setup function

Install PyJeb

Install from PyPi package manager:

pip install pyjeb

Exemple

Setup a configuration file for your script.

In this exemple a yaml file will be used, but JSON can also be used.

Exemple of yaml configuration file - configuration.yaml

HR - Employees:
  source:
    path: "/Landing/HR/Employees/$sys.timestamp('YYYY-MM-DD')"
    pattern: "*.csv"
  target:
    path: "/Bronze/HR/Employees"
HR - Managers:
  source:
    path: "/Landing/HR/Managers/$sys.timestamp('YYYY-MM-DD')"
  target:
    path: "/Bronze/HR/Managers"
HR - Payroll:
  source:
    path: "/Landing/HR/Payroll/$sys.timestamp('YYYY-MM-DD')"
  target:
    path: "/Bronze/HR/Payroll"

Setup a configuration to describe the previous configuration file and add default value for non mendatory field

Exemple of yaml configuration file - control.yaml

control = [
  { "name": "source", "type": "dict" },
  { "name": "source.path" },
  { "name": "source.pattern", "default": "*" },
  { "name": "target", "type": "dict" },
  { "name": "target.path" },
]

Load the configuration and apply function control_and_setup function with control parameters.

This function will:

  • Setup default if the value is not defined
  • Setup value of variable ($sys.timestamp in this exemple)
  • Set configuration as object (callable with dots)
import yaml
from pyjeb import control_and_setup

# load configuration file
with open("configuration.yaml") as f:
  configuration = yaml.load(f, Loader = yaml.loader.SafeLoader)

# control configuration
control = [
  { "name": "source", "type": "dict" },
  { "name": "source.path" },
  { "name": "source.pattern", "default": "*" },
  { "name": "target", "type": "dict" },
  { "name": "target.path" },
]

# loop on each item in configuration
for item in configuration:
  item_configuration = configuration[item]

  # apply the control and instantiate variables
  item_configuration = control_and_setup(item_configuration, control, to_object = True)

  # display values 
  print(f"--------------- {item}")
  print(f"source.path = '{item_configuration.source.path}'")
  print(f"source.pattern = '{item_configuration.source.pattern}'")
  print(f"target.path = '{item_configuration.target.path}'")

Output of the script

--------------- HR - Employees
source.path = '/Landing/HR/Employees/2023-12-14'
source.pattern = '*.csv'
target.path = '/Bronze/HR/Employees'
--------------- HR - Managers
source.path = '/Landing/HR/Managers/2023-12-14'
source.pattern = '*'
target.path = '/Bronze/HR/Managers'
--------------- HR - Payroll
source.path = '/Landing/HR/Payroll/2023-12-14'
source.pattern = '*'
target.path = '/Bronze/HR/Payroll'

control_and_setup function

The function control_and_setup is the only one to use in PyJeb. It use to apply controls and setup default and variables values.

See all about the structure in control_and_setup

Configuration

The configuration is a dictionary of dictionaries. Each key is a section and each section is a dictionary of key-value pairs.

Exemple:

HR - Employees:
  source:
    path: "/Landing/HR/Employees/$sys.timestamp('YYYY-MM-DD')"
    pattern: "*.csv"
  target:
    path: "/Bronze/HR/Employees"
HR - Managers:
  source:
    path: "/Landing/HR/Managers/$sys.timestamp('YYYY-MM-DD')"
  target:
    path: "/Bronze/HR/Managers"
HR - Payroll:
  source:
    path: "/Landing/HR/Payroll/$sys.timestamp('YYYY-MM-DD')"
  target:
    path: "/Bronze/HR/Payroll"

Controls

The controls are a list of dictionaries. Each dictionary is a control to apply on the configuration.

See all about the structure in controls page

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyjeb-1.0.4.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

pyjeb-1.0.4-py3-none-any.whl (7.4 kB view details)

Uploaded Python 3

File details

Details for the file pyjeb-1.0.4.tar.gz.

File metadata

  • Download URL: pyjeb-1.0.4.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyjeb-1.0.4.tar.gz
Algorithm Hash digest
SHA256 e770fd3490547bea2bf3baf4bcfed14623ebac21a372f1a58d6af512a2587e85
MD5 13ccf2cd41d7a4fdb7cd609237c89722
BLAKE2b-256 d12206e945fc0ca16bcf371eab8b51cb2da70b51821b6eaa5c07713bf273490a

See more details on using hashes here.

File details

Details for the file pyjeb-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: pyjeb-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 7.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyjeb-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 16b624c9d4297c63a3fb730cf07ea7f95d70dd06f45207051a046c661b7c0b4d
MD5 cc6bbba6af3dd6779269429942962143
BLAKE2b-256 00ac513dfe2dc7dbfdd5db3bd8b95a210079d33b25967e681ea6048967a9a6ec

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page