| Name | fluxo JSON |
| Version |
0.14.1
JSON |
| download |
| home_page | |
| Summary | Simple data flow with execution in separate threads and easy scheduling configuration. |
| upload_time | 2023-12-28 23:38:09 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.11 |
| license | MIT |
| keywords |
fluxo
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` library, you can install it using the pip command. Make sure you have Python and pip installed before proceeding.
```
pip install fluxo
```
# 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/flow1.py:
```
from fluxo import Flow, Task, Minutes
interval = Minutes(1, 30).format()
flow = Flow(name='My Flow 1', interval=interval)
@Task('My Task 1', flow=flow)
async def My_func():
print('My_func executed!')
```
### 4 - Finally, start the program with the command below:
```
python -m fluxo.init_schedule
```
### 5 - In another terminal, run the command below to start the web server::
```
python -m fluxo.init_server
```
### 6 - Open browser:
```
http://127.0.0.1:8080
```
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