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A lightweight library to check and variabilize your configuration files

Project description

Pyjeb

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

  • Control the structure of a configuration file
  • Add default value for missing fields
  • Setup variable values (system or user defined)
  • 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

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 second file to describe preivous configuration file and add default value for non mendatory field

Exemple of yaml configuration file - control.yaml

- name: "source"
- name: "source.path"
- name: "source.pattern"
  default: "*"
- name: "target"
- name: "target.path"

Load both file and apply function control_and_setup function. This function will:

  • Setup default if the value is not defined
  • Setup value of variable ($sys.timestamp in this exemple)
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)

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

# 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)

    # 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'

setup_and_control 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.

Definition: control_and_setup( <configuration>, <controls>, [<variables>], [<functions>] )

Name Mandatory Type Description
configuration yes Dict A dictionary (of scalar or array or dictonnary) who contain the configuration to control and variabilize
controls yes List A list of dictionnaries who define the structure of configuration. See all about the structure in controls page
variables no Dict Custom variables accessible by configuration. See all about it in custom variable page
functions no Dict Custom parametrized variables accessible by configuration. See all about it in custom variable page

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