flowtask


Nameflowtask JSON
Version 5.9.24 PyPI version JSON
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home_pageNone
SummaryFramework for Task orchestration
upload_time2025-10-24 21:52:00
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10.1
licenseApache-2.0
keywords flowtask data integration task orchestration task-runner pipelines
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requirements No requirements were recorded.
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            # FlowTask #

FlowTask 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 ##

```console
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:
```console
task --program=test --task=example
```

on CLI, you can pass an ENV (enviroment) to change the environment file on task execution.
```console
ENV=dev task --program=test --task=example
```

or Programmatically:
```python
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 ###

* Python >= 3.9
* asyncio (https://pypi.python.org/pypi/asyncio/)
* aiohttp >= 3.6.2

### 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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    "description": "# FlowTask #\n\nFlowTask is a plugin-based, component-driven task execution framework for create complex Tasks.\n\nFlowTask runs Tasks defined in JSON, YAML or TOML files, any Task is a combination of Components,\nand every component in the Task run sequentially or depend of others, like a DAG.\n\nCan 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.\n\nEvery 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.\n\n## Quickstart ##\n\n```console\npip install flowtask\n```\n\nTasks can organizated into directory structure like this:\n\ntasks /\n    \u251c\u2500\u2500 programs /\n      \u251c\u2500\u2500 test /\n           \u251c\u2500\u2500 tasks /\n\nThe main reason of this structure, is maintain organized several tasks by tenant/program, avoiding filling a directory with several task files.\n\nFlowTask 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.\n\n## Dependencies ##\n\n * aiohttp (Asyncio Web Framework and Server) (required by navigator)\n * AsyncDB\n * QuerySource\n * Navigator-api\n * (Optional) Qworker (for distributing asyncio Tasks on distributed workers).\n\n## Features ##\n\n* 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)\n* Built-in API for execution of Tasks.\n\n### How I run a Task? ###\n\nCan run a Task from CLI:\n```console\ntask --program=test --task=example\n```\n\non CLI, you can pass an ENV (enviroment) to change the environment file on task execution.\n```console\nENV=dev task --program=test --task=example\n```\n\nor Programmatically:\n```python\nfrom flowtask import Task\nimport asyncio\n\ntask = Task(program='test', task='example')\nresults = asyncio.run(task.run())\n# we can alternatively, using the execution mode of task object:\nresults = asyncio.run(task())\n```\n\n### Requirements ###\n\n* Python >= 3.9\n* asyncio (https://pypi.python.org/pypi/asyncio/)\n* aiohttp >= 3.6.2\n\n### Contribution guidelines ###\n\nPlease have a look at the Contribution Guide\n\n* Writing tests\n* Code review\n* Other guidelines\n\n### Who do I talk to? ###\n\n* Repo owner or admin\n* Other community or team contact\n\n### License ###\n\nNavigator is licensed under Apache 2.0 License. See the LICENSE file for more details.\n",
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