Generate semi accurate cow weights

weight_gen.py

from datetime import date, timedelta
import os
import random
import math

os.environ['OAUTHLIB_INSECURE_TRANSPORT'] = '1'

from farmOS import farmOS

farm = farmOS(hostname='http://localhost', username='user', password='pass', client_id='farm', scope='user_access')

asset_ids = []

num_assets = 5
for i in range(num_assets):
    asset = {
        'name': f"Cow #{i}",
        'type': 'animal',
        'animal_type': {'name': 'cow'}
    }
    res = farm.asset.send(asset)
    if res is not None and 'id' in res:
        asset_ids.append(res['id'])

log_name = 'Log Animal Weight'
log_type = 'farm_observation'
quantity_template = [{
    'measure': 'weight',
    'value': 0,
    'unit': {'id': 12}
}]
log_done = 1

start_date = date(2017, 1, 1)
end_date = date(2019, 10, 1)
delta = timedelta(days=30)

month = 1
first_count = 120
for asset in asset_ids:
    loop_date = start_date

    month_count = 1
    last_count = first_count
    while loop_date <= end_date:
        new_count = last_count + int(last_count * random.uniform(.05/math.pow(month_count,1.5), .08/math.pow(month_count,1.5)))
        last_count = new_count
        print(new_count)
        quantity = quantity_template
        quantity[0]['value'] = new_count

        log = {
            'name': log_name,
            'type': log_type,
            'asset': [{'id': asset}],
            'quantity': quantity,
            'timestamp': loop_date.strftime("%s"),
            'log_category': [
                {'name': 'animal_weight_test'},
            ],
            'done': 1
        }
        farm.log.send(log)
        # Print weights, useful for debugging the math for creating semi-realistic weights.
        print(str(asset) + ' : ' + str(new_count))

        loop_date = loop_date + delta
month_count = month_count + 1