brahm-centre-utils 1.0.3

Brahm Centre internal utility functions

Brahm Centre Utils

Brahm Centre Utils is a collection of internal utility functions designed to facilitate common tasks at Brahm Centre. This package includes functions for Salesforce interactions, data processing, and more.

Installation

You can easily install Brahm Centre Utils using pip:

pip install brahm-centre-utils

It's recommended to install this package in a virtual environment.

Usage

After installing the package, you can use the functions provided by Brahm Centre Utils in your projects. Here are some examples:

Quick Import

You can import commonly used functions directly from the package:

from brahm_centre_utils import query_salesforce

Salesforce Integration

query_salesforce This function allows you to query Salesforce data using SOQL (Salesforce Object Query Language).

from brahm_centre_utils import query_salesforce
from simple_salesforce import Salesforce
from dotenv import load_dotenv

# Establish connection with SF with credentials from .env file
sf = Salesforce(
    username=os.getenv('SF_USERNAME'),
    password=os.getenv('SF_PASSWORD'),
    security_token=os.getenv('SF_SECURITY_TOKEN'),
    domain=os.getenv('SF_DOMAIN')
)

# Use the function to query SF
result = query_salesforce("SELECT Id, Name FROM Account")
print(result)

Full List of Functions

• brahm_centre_utils.query_salesforce
• brahm_centre_utils.salesforce.get_Id_from_SF_URL
• brahm_centre_utils.common.normalize_name
• brahm_centre_utils.common.are_names_similar
• brahm_centre_utils.common.get_unique_names

Configuration

Brahm Centre Utils requires certain environment variables for Salesforce integration. These should be stored in a .env file in the root of your project.

Exmple .env file

SF_USERNAME=your_salesforce_username
SF_PASSWORD=your_salesforce_password
SF_TOKEN=your_salesforce_security_token
SF_DOMAIN=your_salesforce_domain

Upload a New Version

1. Update the version number in setup.py.
2. Rebuild the distribution files:

python setup.py sdist bdist_wheel

3. Upload to PyPI

twine upload dist/*