sallron 0.2.15

Collected data middleware for DB.

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