LCR API Plus

Forked from: https://github.com/philipbl/LCR-API.

A Python API and some analytics for Leader and Clerk Resources for The Church of Jesus Christ of Latter-day Saints. I've only tested it with Python 3.5+.

The following calls are supported, which correspond to a page in LCR:

• Birthday list
• Members moved out
• Members moved in
• Member list
• Calling list
• Recommend Status
• Quarterly Report
  • Quarters for which the report is available
• Access Table
• Individual Photos
  • Gets the photo for an individual. This is the same call that LCR uses to show a picture when you go to a member's page.

Pull requests are welcomed!

Disclaimer

This code is rough around the edges. I don't handle any cases where a person using this code doesn't have permissions to access the reports, so I don't know what will happen.

Setup

1. Install Python 3.10
2. Install and setup pipenv: pip install pipenv
3. Setup environment for this project
   1. From the root directory of the project (where the Pipfile file is located) run pipenv install
   2. Activate the environment using pipenv shell

Usage

Quarterly Reports Example

You can create a set of charts for multiple units (ex. in a stake) based on their quarterly reports. You will need to have access to each unit in order to pull data.

To run analytics on the quarterly report, use run_analytics.py. To run this, you should place a file called profile.json in the root directory of this project. The contents of that file should contain the following.

{
  "username": "<your lcr username>",
  "password": "<your lcr password>",
  "unit_number": 12345, // The unit you belong to. Can be a stake or ward.
  "unit_name": "<A name you want to use for your unit.>", // note this does not have to match the actual unit name.
  "units": [
    // specify as many units as you want that your LCR account has access to.
    {
      "name": "<unitName1>", // the name to show in analytics for this unit. Does not need to match the actual unit name.
      "number": 121314 // The unit number
    },
    {
      "name": "<unitName2>",
      "number": 151617
    },
    {
      "name": "<unitNameN>",
      "number": 181920
    }
  ]
}

Once you have this, run the following from the root directory of the project. python run_analytics.py

This will pull the data from the specified units and produce a set of charts and graphs based on quarterly reports. Charts will automatically open in your default browser.

API Example

from lcr import API as LCR

lcr = LCR("<LDS USERNAME>", "<LDS PASSWORD>", <UNIT NUMBER>)

months = 5
move_ins = lcr.members_moved_in(months)

for member in move_ins:
    print("{}: {}".format(member['spokenName'], member['textAddress']))

To Do

• Add more tests
• Support more reports and calls