fluidsense's Introduction

FluidSense 💧

FluidSense is a micro-tool to read, filter, and manipulate sensor data from CSV files based on this Kaggle dataset: Dataset (pump-sensor-data).

Load CSV Files: Easily load pump-sensor-data, dataset provided by Kaggle.
Custom Filters: No hardcoded values, filtering parameters can be updated easily.
DataFrame Management: Utilizes Pandas Dataframes for optimal performance.
FastAPI Endpoints: Simple endpoints with documentation generated by FASTAPI.

Tech stack:

Python 3.10+: For core functionalities.
Pandas: For efficient data handling and manipulation.
FastAPI: For creating and handling API endpoints.
Pydantic: For DataModel Validations.

Dataframe model:

sensor_lib:          Fecha      Hora     Sensor   Medicion      Estado
0    2018-04-18  04:41:00  sensor_47  29.513890  RECOVERING
1    2018-04-18  04:42:00  sensor_47  29.513890  RECOVERING
2    2018-04-18  04:43:00  sensor_47  29.224540  RECOVERING
3    2018-04-18  04:44:00  sensor_47  29.224537  RECOVERING
4    2018-04-18  04:45:00  sensor_47  29.224537  RECOVERING
..          ...       ...        ...        ...         ...
299  2018-04-19  10:34:00  sensor_07  21.202260  RECOVERING
300  2018-04-19  10:35:00  sensor_07  21.129920  RECOVERING
301  2018-04-19  10:36:00  sensor_07  21.129920  RECOVERING
302  2018-04-18  04:41:00  sensor_47  29.513890  RECOVERING
303  2018-04-18  04:42:00  sensor_47  29.513890  RECOVERING

[304 rows x 5 columns]

Installation:

Python: Version 3.10 or higher is required to run this project.

Virtual Environment (Recommended)

> pyenv virtualenv 3.10.0 fluidsense-env

Install requirements.txt and run main.py

# Install requirements
> pip install -r requirements.txt
# Run main.py
> python main.py

INFO:     Started server process [82427]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)