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Progress Updater

Project description

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

updater = ProgressUpdater(task_name="My Task")

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

If you want to save the output in a Database you will need to define a backend. There are three backends available to save our logs.

  1. Mongo.
  2. Redis.
  3. SQL.
from progress_updater.backends import MongoLog
from uuid import UUID

log = MongoLog.get(uuid=UUID("<your task uuid>"))
assert log.status == "SUCCESS"

Settings

There are some possible ways to pass settings to the updater. This is the priority.

  1. Passing settings as parameters when creating a ProgressUpdater object.
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",
)

with ProgressUpdater(task_name="My Task", settings=settings) as updater:
    pass
  1. Environment variables.

The PU__ prefix indicates that it belongs to ProgressUpdater.

export PU__SQL_DSN=postgresql+psycopg2://user:pass@postgres:5432/db
export PU__SQL_TABLE=logs

Documentation

Please visit this link for documentation.

Project details


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