Skip to main content

Parse Troopmaster export files into TOML, YAML, or JSON

Project description

tm_parser

(c) Michael Perkins, 2023, 2024

Introduction/usage

Parses an advancement/individual history PDF from troopmaster, into YAML/TOML/JSON format or for use in Python projects. Also hooks into the objexplore browser for data checking/viewing.

Installation

pip install tm-parser

Instructions:

In troopmaster, under reports -> advancement -> individual history

  • select all the scouts you want to report
  • select all the ranks you want to report
  • Do not select "Omit details on completed ranks"
  • Other than that, any other options can be included or excluded (I only tested a few configurations. if it doesn't work, select everything)

generate the report and save it to a PDF. -- we will use "export.pdf" as the output file name

by default, the output is to the console in YAML format

Then run:

tmparse -o output.yaml export.pdf

Options:

-t --output-type  [yaml], json or toml

-o --outfile output filename

This produces output of the desired type.

-e --explore opens an objexplore window for your scouts so you can explore the data

YAML can be read in python with:

import yaml

with open('output.yaml') as f:

    scouts = yaml.safe_load(f)

Using tm_parser in code:

from tm_parser import Parser

#initializing the parser automatically parses the file and stores
#the information in TmParser().scouts
parser = TmParser(infile='filename.pdf')


# Iterating on the parser yields scouts
for scout in parser:
    print('----------------------------------------------')
    print(f"{scout['Data']['Name']:26}Date       Eagle Req")
    print('----------------------------------------------')
    ## do something with scout
    if "Merit Badges" in scout:

        #sort merit badges by date ascending
        for badge, data in sorted(scout['Merit Badges'].items(), 
                                    key=lambda x: x[1]['date']):
            print(f"{badge:26}{data['date']} {data['eagle_required']}")

Yields:

----------------------------------------------
Smith, John               Date       Eagle Req
----------------------------------------------
Climbing                  2017-03-11 False
Mammal Study              2017-06-29 False
Leatherwork               2017-06-30 False
Swimming                  2017-06-30 True
Kayaking                  2018-06-29 False
Wilderness Survival       2018-06-29 False
Rifle Shooting            2018-06-29 False
First Aid                 2018-09-29 True

By default the information is a dictionary, with the scout names as keys, and each scout is a dictionary with the following keys:

  • Activity Totals
  • Data - contains biographical data
  • Leadership
  • Merit Badges
  • Order of the Arrow
  • Partial Merit Badges
  • Rank Advancement
  • Training Courses

All dates have been parsed into datetime.date objects, in YYYY-MM-DD format, and are null if not assigned in the incoming data.

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

tm_parser-0.17.8.tar.gz (25.1 kB view details)

Uploaded Source

Built Distribution

tm_parser-0.17.8-py3-none-any.whl (30.9 kB view details)

Uploaded Python 3

File details

Details for the file tm_parser-0.17.8.tar.gz.

File metadata

  • Download URL: tm_parser-0.17.8.tar.gz
  • Upload date:
  • Size: 25.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.26.0

File hashes

Hashes for tm_parser-0.17.8.tar.gz
Algorithm Hash digest
SHA256 2beb87cc118639f2772f3a949158fcaa423ef066126963fca908b33566e517a9
MD5 023ccb8fa6cd447ef1493ddbe117a239
BLAKE2b-256 52405a248dc3e4e6329501b87d28b55f6ede1b204520364591e3da9d179ecf04

See more details on using hashes here.

File details

Details for the file tm_parser-0.17.8-py3-none-any.whl.

File metadata

  • Download URL: tm_parser-0.17.8-py3-none-any.whl
  • Upload date:
  • Size: 30.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.26.0

File hashes

Hashes for tm_parser-0.17.8-py3-none-any.whl
Algorithm Hash digest
SHA256 3a94b20b5d3292b01a3d1f1da7d077a263a8cb3aa3e402acdc57924eddf373bc
MD5 499e1379b353d4b56f1bf343c9e83e96
BLAKE2b-256 ad439d280633b9b4dccb259b999201e3310a6d117de383c44074446b59388b31

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