Skip to main content

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.

Project details


Release history Release notifications | RSS feed

This version

4.4.8

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

flowtask-4.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

flowtask-4.4.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

flowtask-4.4.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

File details

Details for the file flowtask-4.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for flowtask-4.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 14885bdb78f1542d818214b460b2752b06afc7e0b1fe197080b96c3e13911d5f
MD5 ee3f926be62abdaf9e483852e8571254
BLAKE2b-256 77801584794ccf11fee1718bcebbe54eee0c6fcf2213a027d86193baff0ff76e

See more details on using hashes here.

File details

Details for the file flowtask-4.4.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for flowtask-4.4.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bf2cade9b0ced12992483d43f129882af856017409c1c97cbe8ebbbaed018bd1
MD5 71a42e9674249cd59d0af469c575e0e9
BLAKE2b-256 0cc7df712db59c4378e941e3dcc524f5bcc7b043b89a2c05820604cfb53f4343

See more details on using hashes here.

File details

Details for the file flowtask-4.4.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for flowtask-4.4.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6e562ad51045e8d2ebbd89c411651c5ef7924bd573409f73df94c612c1187197
MD5 41892e77fce173fd9326cecc6d727f81
BLAKE2b-256 d5a34a784fba63681c1de98eadcb253dd1d3833c0b0b6646cdda10825855c33e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page