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Framework for running Tasks and from CLI and API for orchestation. Component-based Task builder/Runner for non-programmers.

Project description

FlowTask DataIntegration

FlowTask DataIntegration is a plugin-based, component-driven task execution framework for create complex Tasks.

FlowTask runs Tasks defined in JSON, YAML or TOML files, any Task is a combination of Components, and every component in the Task run sequentially or depend of others, like a DAG.

Can create a Task combining Commands, Shell scripts and other specific Components (as TableInput: Open a Table using a datasource, DownloadFromIMAP: Download a File from a IMAP Folder, and so on), any Python Callable can be a Component inside a Task, or can extends UserComponent to build your own componets.

Every designed Task can run from CLI, programmatically, via RESTful API (using our aioHTTP-based Handler), called by WebHooks or even dispatched to a external Worker using our built-in Scheduler.

Quickstart

pip install flowtask

Tasks can organizated into directory structure like this:

tasks / ├── programs / ├── test / ├── tasks /

The main reason of this structure, is maintain organized several tasks by tenant/program, avoiding filling a directory with several task files.

FlowTask support "TaskStorage", a Task Storage is the main repository for tasks, main Task Storage is a directory in any filesystem path (optionally you can syncronize that path using git), but Tasks can be saved onto a Database or a S3 bucket.

Dependencies

  • aiohttp (Asyncio Web Framework and Server) (required by navigator)
  • AsyncDB
  • QuerySource
  • Navigator-api
  • (Optional) Qworker (for distributing asyncio Tasks on distributed workers).

Features

  • Component-based Task execution framework with several components covering several actions (download files, create pandas dataframes from files, mapping dataframe columns to a json-dictionary, etc)
  • Built-in API for execution of Tasks.

How I run a Task?

Can run a Task from CLI:

task --program=test --task=example

on CLI, you can pass an ENV (enviroment) to change the environment file on task execution.

ENV=dev task --program=test --task=example

or Programmatically:

from flowtask import Task
import asyncio

task = Task(program='test', task='example')
results = asyncio.run(task.run())
# we can alternatively, using the execution mode of task object:
results = asyncio.run(task())

Requirements

Contribution guidelines

Please have a look at the Contribution Guide

  • Writing tests
  • Code review
  • Other guidelines

Who do I talk to?

  • Repo owner or admin
  • Other community or team contact

License

Navigator is licensed under Apache 2.0 License. See the LICENSE file for more details.

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