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The Progress-Updater help you to track your tasks using backends like Redis, Mongo or SQL

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progress-updater

Documentation Status License-MIT GitHub Actions PyPI version

Writing the progress of a task to a backend!

Installation

Install it using pip

pip install progress-updater

Basic usage

from progress_updater import ProgressUpdater
from progress_updater.backends.mongo import MongoSettings

settings = MongoSettings(
    mongo_connection="mongodb://user:pass@mongo:27017",
    mongo_db="db",
    mongo_collection="logs",
)

updater = ProgressUpdater(task_name="My Task", settings=settings)

with updater(block_name="First part"):
    # doing things
    updater.notify("doing first block...")
    # doing more things

with updater(block_name="Second part"):
    # doing things
    updater.notify("doing second block...")
    # doing more things

updater.raise_latest_exception()  # if exists

The output is:

- Task: My task

- Entering First part
  doing first block...
	Time spent: 0h0m
	Successfully completed

- Entering Second part
  doing second block...
	Time spent: 0h0m
	Successfully completed

Backends

The available backends to store logs are Mongo, Redis and SQL. Please read the docs for further information.

Setting your backend with environment variables

You can set your backend by defining env vars. The PU__ prefix indicates that it belongs to ProgressUpdater.

# SQL
PU__SQL_DSN='postgresql+psycopg2://user:pass@postgres:5432/db'
PU__SQL_TABLE='logs'
...

# Redis
PU__REDIS_HOST='redis'
PU__REDIS_DB='1'
PU__REDIS_PASSWORD='pass'
...

# Mongo
PU__MONGO_CONNECTION='mongodb://user:pass@mongo:27017'
PU__MONGO_DB='db'
PU__MONGO_COLLECTION='logs'
...

And then when creating a ProgressUpdater object, the backend will be automatically configured.

from progress_updater import ProgressUpdater

with ProgressUpdater(task_name="My Task") as updater:
    pass

Documentation

Please visit this link for documentation.