hygia 0.1.6

A short description of the package.

Playground

Instaling Requirements

python -m venv env
source env/bin/activate
pip install -r requirements.txt

Running

python src/main.py

Testing

pytest --cov

Metabase

The metabase will help us visualize and monitor data processing, feature engineering and model monitoring, accompanying us throughout the cycle.

Keywords	Description
CSV	A CSV file is a plain text file that stores table and spreadsheet information. CSV files can be easily imported and exported using programs that store data in tables.
Collection	A collection is a grouping of MongoDB documents. Documents within a collection can have different fields. A collection is the equivalent of a table in a relational database system.
Database	A database stores one or more collections of documents.
Mongo	It is a NoSQL database developed by MongoDB Inc. MongoDB database is built to store a huge amount of data and also perform fast.

Environment check

Check if docker exists, if not then install it docker -v

Check if docker-compose exists, if not then install it docker-compose -v

when running the first time create the network

make network

Run metabase local

In the root folder, run the command

make up

Loading data into a non-relational database

This command is used to load the .csv file into the local database, where it is necessary to pass the file path, database and collection as an argument

• path = .csv file path
• database = database name
• collection = collection name

exemple:

make migrate path=data/data_example.csv database=general collection=order

Connect the database to the metabase

• step 1: Open localhost:3000
• step 2: Click Admin setting
• step 3: Click Database
• step 4: Add database authentication data

Exemple mongo connect metabase

metabase	credential
host	mongo
dabase_name	use the name you define in make migrate
user	lappis
password	lappis

Documentation

We used sphinx to write the documentation

To run locally, you need to install sphinx:

pip install sphinx

Then install the theme used:

pip install pydata-sphinx-theme

And Run the project

sphinx-build -b html source ./

And open the index.html