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fastapi-greatexpectations

Table of Contents
  1. About The Project
  2. Getting Started
  3. Available Integrations
  4. Acknowledgments

About The Project

Guardian OSS project is REST API wrapper for greatexpectations.io library.

greatexpectations.io is a tool for data quality validation, documentation, and profiling.

Can we be better prepared for expected unexpected philosophy ? The expect the unexpected philosophy leads to the freedom of choice and the freedom of others people judgment, creating a future full of possibilities, accepting that whatever will be, will be; the future's not ours to see, que será, será.

Built With

FastAPI Pydantic pytest rich GX OSS

Getting Started

Make will help you

To build , run and more... use magic of make help to play with this project.

make help

and you receive below list:

build                Build project with compose
clean                Clean Reset project containers with compose
coverage             Run project tests with coverage
down                 Reset project containers with compose
help                 Show this help
restore_db_backup    Restore database backup on running sqlserver container
test                 Run project tests
up_code              Run project with compose
verify_db_backup     Verify database backup file names before restore on running sqlserver container

Local development with poetry

Install poetry with pipx

pipx install --suffix "@1.6" poetry==1.6.1

Spawn new shell with poetry

poetry@1.6 shell

Install project dependencies

poetry@1.6 install

How to setup project and feed database

  1. Use make to build and run project. It will add local volumes with SQL Server database files. Check ./sqlserver folder for more details.
make build && make up_code
  1. Download AdventureWorksLT2022 database backup from here

  2. Copy database to ./sqlserver/restore folder and restore it with make command

cp AdventureWorksLT2022.bak ./sqlserver/restore && make restore_db_backup

Hope you enjoy it.

About

Run greatexpectations.io on ANY SQL Engine using REST API. Supported by FastAPI, Pydantic and SQLAlchemy as best data quality tool

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