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Description:

sallron 0.2.15

Dynamically schedule data aggregation ⚔️ 👁️ 🗄️

API agnostic data aggregation scheduler that automatically interacts
with your interface class and sends responses to DB.

Dependencies

requests
schedule
pymongo
walrus
psutil
pytz
discord-logger
boto3

Setup
pip3 install sallron

DB Structure
To do

Usage
If you want a regular lifecycle, just run the following code:
import sallron
import ExampleInterface

sallron.configureye(
MONGO_CONN_STR='mongodb+srv://...',
MAX_STEEL_URL='https://5423csd3j.exe...',
ADMIN_COLLECTION='admin',
_WEBHOOK='https://discord.com/api/webhooks/...', # Discord webhook for logging
# AWS CONFIG
AWS_ACCESS_KEY_ID="asnwnwjsMANS...",
AWS_SECRET_ACCESS_KEY_ID="JASDWKkjndm$234/mkasd...",
AWS_REGION="us-east-2", # default
LOGGING_BUCKET='s3 bucket name for storing logs'
) # configure your MongoDB settings

sallron.ring_ruler(ExampleInterface, "my_interface")
Now, for auto-resets + notifications on exceptions/crashes, save the
previous file as you normally would (i.e. runner.py) and create a new
file (i.e. erunner.py):
from sallron import eternal_runner
from os.path import join, dirname

here = dirname(__file__)

if __name__ == "__main__":
filename = "runner.py"
filepath = join(here, filename)
eternal_runner(filepath)
Then just:
python3 erunner.py

Configureye
Required settings:

MONGO_CONN_STR
ADMIN_COLLECTION

Available settings (= std_value):

OS = ‘UBUNTU’
SAVE_LOGS = False
LOG_DIR = “logs/”
MAX_LOG_SIZE = 100000000 # 100Mb