| Name | fluxo-core JSON |
| Version |
0.5.0
JSON |
| download |
| home_page | |
| Summary | Simple data flow with execution in separate threads and easy scheduling configuration. |
| upload_time | 2023-12-08 11:52:27 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.11 |
| license | MIT |
| keywords |
fluxo
fluxo-core
data
scheduler
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Fluxo
### Simple data flow with execution in separate threads and easy scheduling configuration.
# Installation
To use the `fluxo-core` library, you can install it using the pip command. Make sure you have Python and pip installed before proceeding.
```
pip install fluxo-core
```
# How to Use
### 1 - Create a folder in the project root:
First, create a folder named `python_files` at the root of your project. This folder will contain your Python files.
### 2 - Create a Python file within the python_files folder:
Now, create a Python file named fluxo1.py within the python_files folder. This is where you can write your Python code.
### 3 - Write the code:
Write the following code in the fluxo1.py file to create a basic flow with a task:
#### python_files/fluxo1.py:
```
from fluxo_core.fluxo import Fluxo
from fluxo_core.task import Task
fluxo = Fluxo(
name='Fluxo 1',
interval={'minutes': 1, 'at': ':10'})
@Task('Tarefa 1', fluxo=fluxo)
async def my_func():
print('my_func being executed')
```
### 4 - Finally, start the program with the command below:
```
python -m fluxo_core.init
```
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