# Edgy
<p align="center">
<a href="https://edgy.dymmond.com"><img src="https://res.cloudinary.com/tarsild/image/upload/v1690804138/packages/edgy/logo_wvmjxz.png" alt='Edgy'></a>
</p>
<p align="center">
<em>🔥 The perfect ORM to work with complex databases 🔥</em>
</p>
<p align="center">
<a href="https://github.com/dymmond/edgy/workflows/Test%20Suite/badge.svg?event=push&branch=main" target="_blank">
<img src="https://github.com/dymmond/edgy/workflows/Test%20Suite/badge.svg?event=push&branch=main" alt="Test Suite">
</a>
<a href="https://pypi.org/project/edgy" target="_blank">
<img src="https://img.shields.io/pypi/v/edgy?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
<a href="https://pypi.org/project/edgy" target="_blank">
<img src="https://img.shields.io/pypi/pyversions/edgy.svg?color=%2334D058" alt="Supported Python versions">
</a>
</p>
---
**Documentation**: [https://edgy.dymmond.com][edgy] 📚
**Source Code**: [https://github.com/dymmond/edgy](https://github.com/dymmond/edgy)
---
## Motivation
From the same author of [Saffier][saffier], Edgy is also an ORM but different from its predecessor.
Saffier is more of a Generic ORM for probably 99.9% of every single day application and works
perfectly well with it, whereas **Edgy** is also that and more.
Edgy comes with batteries included thanks to Pydantic so that means your [models][models] are 100%
Pydantic which also means you get all the benefits of the technology (like automatic validations...)
out of the box with the need of building independent schemas to validate those fields before injest
them into a database.
**Was it already mentioned that Edgy is extremely fast? Well, it is!**
Almost every project, in one way or another uses one (or many) databases. An ORM is simply an mapping
of the top of an existing database. ORM extends for Object Relational Mapping and bridges object-oriented
programs and relational databases.
Two of the most well known ORMs are from Django and SQLAlchemy. Both have their own strenghts and
weaknesses and specific use cases.
This ORM is built on the top of SQLAlchemy core and aims to simplify the way the setup and queries
are done into a more common and familiar interface with the power of **Pydantic**.
## Edgy
Edgy is some sort of a fork from [Saffier][saffier] but rewritten at its core fully in Pydantic 🔥.
This was necessary because Saffier although serving 99.9% of the daily use cases, there was still
a great need to add automatic validations and performance, so instead of rewritting
[Saffier][saffier] and risking breaking existing use cases already in place, a brand new shiny ORM
came to be 😁.
Edgy leverages the power of **Pydantic** while offering a friendly, familiar and easy to use interface.
This ORM was designed to be flexible and compatible with pretty much every ASGI framework, like
[Esmerald](https://esmerald.dymmond.com), Starlette, FastAPI, Sanic, Quart... With simple pluggable
design thanks to its origins.
## Features
While adopting a familiar interface, it offers some cool and powerful features on the top of
SQLAlchemy core.
### Key features
* **Model inheritance** - For those cases where you don't want to repeat yourself while maintaining
integrity of the models.
* **Abstract classes** - That's right! Sometimes you simply want a model that holds common fields
that doesn't need to created as a table in the database.
* **Meta classes** - If you are familiar with Django, this is not new to you and Edgy offers this
in the same fashion.
* **Managers** - Versatility at its core, you can have separate managers for your models to optimise
specific queries and querysets at ease.
* **Filters** - Filter by any field you want and need.
* **Model operators** - Classic operations such as `update`, `get`, `get_or_none`, `bulk_create`,
`bulk_update`, `values`, `values_list`, `only`, `defer` and a lot more.
* **Relationships made it easy** - Support for `OneToOne`, `ForeignKey` and `ManyToMany` in the same Django style.
* **Constraints** - Unique constraints through meta fields.
* **Indexes** - Unique indexes through meta fields.
* **Native test client** - We all know how hard it can be to setup that client for those tests you
need so we give you already one.
* **Multi-tenancy** - Edgy supports multi-tenancy and even offers a possible solution to be used
out of the box if you don't want to waste time.
And a lot more you can do here.
## Migrations
Since **Edgy**, like [Saffier][saffier], it is built on the top of
[SQLAlchemy core](https://docs.sqlalchemy.org/en/20/core/) and brings its own native migration
system running on the top of [Alembic][alembic] but making it a
lot easier to use and more pleasant for you.
Have a look at the [migrations](./docs/migrations/migrations.md) for more details.
## Installation
To install Edgy, simply run:
```shell
$ pip install edgy
```
You can pickup your favourite database driver by yourself or you can run:
**Postgres**
```shell
$ pip install edgy[postgres]
```
**MySQL/MariaDB**
```shell
$ pip install edgy[mysql]
```
**SQLite**
```shell
$ pip install edgy[sqlite]
```
**MSSQL**
```shell
$ pip install edgy[mssql]
```
## Quick Start
The following is an example how to start with **Edgy** and more details and examples can be
found throughout the documentation.
**Use** `ipython` **to run the following from the console, since it supports** `await`.
```python
import edgy
from edgy import Database, Registry
database = Database("sqlite:///db.sqlite")
models = Registry(database=database)
class User(edgy.Model):
"""
The User model to be created in the database as a table
If no name is provided the in Meta class, it will generate
a "users" table for you.
"""
id: int = edgy.IntegerField(primary_key=True)
is_active: bool = edgy.BooleanField(default=False)
class Meta:
registry = models
# Create the db and tables
# Don't use this in production! Use Alembic or any tool to manage
# The migrations for you
await models.create_all() # noqa
await User.query.create(is_active=False) # noqa
user = await User.query.get(id=1) # noqa
print(user)
# User(id=1)
```
As stated in the example, if no `tablename` is provided in the `Meta` class, Edgy automatically
generates the name of the table for you by pluralising the class name.
### Note
Edgy model declaration with `typing` is **merely visual**. The validations of the fields
are not done by the typing of the attribute of the models but from the **edgy fields**.
Which means you don't need to worry about the *wrong* typing as long as you declare the correct
field type.
So does that mean pydantic won't work if you don't declare the type? Absolutely not. Internally
Edgy runs those validations through the declared fields and the Pydantic validations are done
exactly in the same way you do a normal Pydantic model.
Nothing to worry about!
Let us see an example.
**With field typing**
```python
import edgy
from edgy import Database, Registry
database = Database("sqlite:///db.sqlite")
models = Registry(database=database)
class User(edgy.Model):
"""
The User model to be created in the database as a table
If no name is provided the in Meta class, it will generate
a "users" table for you.
"""
id: int = edgy.IntegerField(primary_key=True)
is_active: bool = edgy.BooleanField(default=False)
class Meta:
registry = models
```
**Without field typing**
```python
import edgy
from edgy import Database, Registry
database = Database("sqlite:///db.sqlite")
models = Registry(database=database)
class User(edgy.Model):
"""
The User model to be created in the database as a table
If no name is provided the in Meta class, it will generate
a "users" table for you.
"""
id = edgy.IntegerField(primary_key=True)
is_active = edgy.BooleanField(default=False)
class Meta:
registry = models
```
It does not matter if you type or not, Edgy knows what and how to validate via `edgy fields` like
`IntegerField` or `BooleanField` or any other field.
## Connect your application
Do you want to have more complex structures and connect to your favourite framework? Have a look
at [connections](./docs/connection.md) to understand how to do it properly.
## `Esmerald` ecosystem
This does not mean that only works with Esmerald! Edgy is also framework agnostic but the author
of Edgy is the same of Saffier and Esmerald which makes it nicer to integrate directly with Esmerald.
How could you integrate `Edgy` with Esmerald (or any other framework)?
Let us see an example. Since Edgy is fully Pydantic that means we can perform tasks directly.
```python
from esmerald import Esmerald, Gateway, post
import edgy
from edgy.testclient import DatabaseTestClient as Database
database = Database("sqlite:///db.sqlite")
models = edgy.Registry(database=database)
class User(edgy.Model):
id: int = edgy.IntegerField(primary_key=True)
name: str = edgy.CharField(max_length=100)
email: str = edgy.EmailField(max_length=100)
language: str = edgy.CharField(max_length=200, null=True)
description: str = edgy.TextField(max_length=5000, null=True)
class Meta:
registry = models
@post("/create")
async def create_user(data: User) -> User:
"""
You can perform the same directly like this
as the validations for the model (nulls, mandatories, @field_validators)
already did all the necessary checks defined by you.
"""
user = await data.save()
return user
app = Esmerald(
routes=[Gateway(handler=create_user)],
on_startup=[database.connect],
on_shutdown=[database.disconnect],
)
```
The response of the API `/create` should have a format similar to this (assuming the post with the following payload as well):
```json
{
"id": 1,
"name": "Edgy",
"email": "edgy@esmerald.dev",
"language": "EN",
"description": "A description",
}
```
**All the examples of this documentation will be using field typing but it is up to you if you want to use them or not.**
**Exciting!**
In the documentation we go deeper in explanations and examples, this was just to warm up. 😁
[edgy]: https://edgy.dymmond.com
[saffier]: https://saffier.tarsild.io
[models]: https://edgy.dymmond.com/models/
[alembic]: https://alembic.sqlalchemy.org/en/latest/
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"description": "# Edgy\n\n<p align=\"center\">\n <a href=\"https://edgy.dymmond.com\"><img src=\"https://res.cloudinary.com/tarsild/image/upload/v1690804138/packages/edgy/logo_wvmjxz.png\" alt='Edgy'></a>\n</p>\n\n<p align=\"center\">\n <em>\ud83d\udd25 The perfect ORM to work with complex databases \ud83d\udd25</em>\n</p>\n\n<p align=\"center\">\n<a href=\"https://github.com/dymmond/edgy/workflows/Test%20Suite/badge.svg?event=push&branch=main\" target=\"_blank\">\n <img src=\"https://github.com/dymmond/edgy/workflows/Test%20Suite/badge.svg?event=push&branch=main\" alt=\"Test Suite\">\n</a>\n\n<a href=\"https://pypi.org/project/edgy\" target=\"_blank\">\n <img src=\"https://img.shields.io/pypi/v/edgy?color=%2334D058&label=pypi%20package\" alt=\"Package version\">\n</a>\n\n<a href=\"https://pypi.org/project/edgy\" target=\"_blank\">\n <img src=\"https://img.shields.io/pypi/pyversions/edgy.svg?color=%2334D058\" alt=\"Supported Python versions\">\n</a>\n</p>\n\n---\n\n**Documentation**: [https://edgy.dymmond.com][edgy] \ud83d\udcda\n\n**Source Code**: [https://github.com/dymmond/edgy](https://github.com/dymmond/edgy)\n\n---\n\n## Motivation\n\nFrom the same author of [Saffier][saffier], Edgy is also an ORM but different from its predecessor.\nSaffier is more of a Generic ORM for probably 99.9% of every single day application and works\nperfectly well with it, whereas **Edgy** is also that and more.\n\nEdgy comes with batteries included thanks to Pydantic so that means your [models][models] are 100%\nPydantic which also means you get all the benefits of the technology (like automatic validations...)\nout of the box with the need of building independent schemas to validate those fields before injest\nthem into a database.\n\n**Was it already mentioned that Edgy is extremely fast? Well, it is!**\n\nAlmost every project, in one way or another uses one (or many) databases. An ORM is simply an mapping\nof the top of an existing database. ORM extends for Object Relational Mapping and bridges object-oriented\nprograms and relational databases.\n\nTwo of the most well known ORMs are from Django and SQLAlchemy. Both have their own strenghts and\nweaknesses and specific use cases.\n\nThis ORM is built on the top of SQLAlchemy core and aims to simplify the way the setup and queries\nare done into a more common and familiar interface with the power of **Pydantic**.\n\n## Edgy\n\nEdgy is some sort of a fork from [Saffier][saffier] but rewritten at its core fully in Pydantic \ud83d\udd25.\n\nThis was necessary because Saffier although serving 99.9% of the daily use cases, there was still\na great need to add automatic validations and performance, so instead of rewritting\n[Saffier][saffier] and risking breaking existing use cases already in place, a brand new shiny ORM\ncame to be \ud83d\ude01.\n\nEdgy leverages the power of **Pydantic** while offering a friendly, familiar and easy to use interface.\n\nThis ORM was designed to be flexible and compatible with pretty much every ASGI framework, like\n[Esmerald](https://esmerald.dymmond.com), Starlette, FastAPI, Sanic, Quart... With simple pluggable\ndesign thanks to its origins.\n\n## Features\n\nWhile adopting a familiar interface, it offers some cool and powerful features on the top of\nSQLAlchemy core.\n\n### Key features\n\n* **Model inheritance** - For those cases where you don't want to repeat yourself while maintaining\nintegrity of the models.\n* **Abstract classes** - That's right! Sometimes you simply want a model that holds common fields\nthat doesn't need to created as a table in the database.\n* **Meta classes** - If you are familiar with Django, this is not new to you and Edgy offers this\nin the same fashion.\n* **Managers** - Versatility at its core, you can have separate managers for your models to optimise\nspecific queries and querysets at ease.\n* **Filters** - Filter by any field you want and need.\n* **Model operators** - Classic operations such as `update`, `get`, `get_or_none`, `bulk_create`,\n`bulk_update`, `values`, `values_list`, `only`, `defer` and a lot more.\n* **Relationships made it easy** - Support for `OneToOne`, `ForeignKey` and `ManyToMany` in the same Django style.\n* **Constraints** - Unique constraints through meta fields.\n* **Indexes** - Unique indexes through meta fields.\n* **Native test client** - We all know how hard it can be to setup that client for those tests you\nneed so we give you already one.\n* **Multi-tenancy** - Edgy supports multi-tenancy and even offers a possible solution to be used\nout of the box if you don't want to waste time.\n\nAnd a lot more you can do here.\n\n## Migrations\n\nSince **Edgy**, like [Saffier][saffier], it is built on the top of\n[SQLAlchemy core](https://docs.sqlalchemy.org/en/20/core/) and brings its own native migration\nsystem running on the top of [Alembic][alembic] but making it a\nlot easier to use and more pleasant for you.\n\nHave a look at the [migrations](./docs/migrations/migrations.md) for more details.\n\n## Installation\n\nTo install Edgy, simply run:\n\n```shell\n$ pip install edgy\n```\n\nYou can pickup your favourite database driver by yourself or you can run:\n\n**Postgres**\n\n```shell\n$ pip install edgy[postgres]\n```\n\n**MySQL/MariaDB**\n\n```shell\n$ pip install edgy[mysql]\n```\n\n**SQLite**\n\n```shell\n$ pip install edgy[sqlite]\n```\n\n**MSSQL**\n\n```shell\n$ pip install edgy[mssql]\n```\n\n## Quick Start\n\nThe following is an example how to start with **Edgy** and more details and examples can be\nfound throughout the documentation.\n\n**Use** `ipython` **to run the following from the console, since it supports** `await`.\n\n```python\nimport edgy\nfrom edgy import Database, Registry\n\ndatabase = Database(\"sqlite:///db.sqlite\")\nmodels = Registry(database=database)\n\n\nclass User(edgy.Model):\n \"\"\"\n The User model to be created in the database as a table\n If no name is provided the in Meta class, it will generate\n a \"users\" table for you.\n \"\"\"\n\n id: int = edgy.IntegerField(primary_key=True)\n is_active: bool = edgy.BooleanField(default=False)\n\n class Meta:\n registry = models\n\n\n# Create the db and tables\n# Don't use this in production! Use Alembic or any tool to manage\n# The migrations for you\nawait models.create_all() # noqa\n\nawait User.query.create(is_active=False) # noqa\n\nuser = await User.query.get(id=1) # noqa\nprint(user)\n# User(id=1)\n```\n\nAs stated in the example, if no `tablename` is provided in the `Meta` class, Edgy automatically\ngenerates the name of the table for you by pluralising the class name.\n\n### Note\n\nEdgy model declaration with `typing` is **merely visual**. The validations of the fields\nare not done by the typing of the attribute of the models but from the **edgy fields**.\n\nWhich means you don't need to worry about the *wrong* typing as long as you declare the correct\nfield type.\n\nSo does that mean pydantic won't work if you don't declare the type? Absolutely not. Internally\nEdgy runs those validations through the declared fields and the Pydantic validations are done\nexactly in the same way you do a normal Pydantic model.\n\nNothing to worry about!\n\nLet us see an example.\n\n**With field typing**\n\n```python\nimport edgy\nfrom edgy import Database, Registry\n\ndatabase = Database(\"sqlite:///db.sqlite\")\nmodels = Registry(database=database)\n\n\nclass User(edgy.Model):\n \"\"\"\n The User model to be created in the database as a table\n If no name is provided the in Meta class, it will generate\n a \"users\" table for you.\n \"\"\"\n\n id: int = edgy.IntegerField(primary_key=True)\n is_active: bool = edgy.BooleanField(default=False)\n\n class Meta:\n registry = models\n```\n\n**Without field typing**\n\n```python\nimport edgy\nfrom edgy import Database, Registry\n\ndatabase = Database(\"sqlite:///db.sqlite\")\nmodels = Registry(database=database)\n\n\nclass User(edgy.Model):\n \"\"\"\n The User model to be created in the database as a table\n If no name is provided the in Meta class, it will generate\n a \"users\" table for you.\n \"\"\"\n\n id = edgy.IntegerField(primary_key=True)\n is_active = edgy.BooleanField(default=False)\n\n class Meta:\n registry = models\n```\n\nIt does not matter if you type or not, Edgy knows what and how to validate via `edgy fields` like\n`IntegerField` or `BooleanField` or any other field.\n\n## Connect your application\n\nDo you want to have more complex structures and connect to your favourite framework? Have a look\nat [connections](./docs/connection.md) to understand how to do it properly.\n\n## `Esmerald` ecosystem\n\nThis does not mean that only works with Esmerald! Edgy is also framework agnostic but the author\nof Edgy is the same of Saffier and Esmerald which makes it nicer to integrate directly with Esmerald.\n\nHow could you integrate `Edgy` with Esmerald (or any other framework)?\n\nLet us see an example. Since Edgy is fully Pydantic that means we can perform tasks directly.\n\n```python\nfrom esmerald import Esmerald, Gateway, post\n\nimport edgy\nfrom edgy.testclient import DatabaseTestClient as Database\n\ndatabase = Database(\"sqlite:///db.sqlite\")\nmodels = edgy.Registry(database=database)\n\n\nclass User(edgy.Model):\n id: int = edgy.IntegerField(primary_key=True)\n name: str = edgy.CharField(max_length=100)\n email: str = edgy.EmailField(max_length=100)\n language: str = edgy.CharField(max_length=200, null=True)\n description: str = edgy.TextField(max_length=5000, null=True)\n\n class Meta:\n registry = models\n\n\n@post(\"/create\")\nasync def create_user(data: User) -> User:\n \"\"\"\n You can perform the same directly like this\n as the validations for the model (nulls, mandatories, @field_validators)\n already did all the necessary checks defined by you.\n \"\"\"\n user = await data.save()\n return user\n\n\napp = Esmerald(\n routes=[Gateway(handler=create_user)],\n on_startup=[database.connect],\n on_shutdown=[database.disconnect],\n)\n\n```\n\nThe response of the API `/create` should have a format similar to this (assuming the post with the following payload as well):\n\n```json\n{\n \"id\": 1,\n \"name\": \"Edgy\",\n \"email\": \"edgy@esmerald.dev\",\n \"language\": \"EN\",\n \"description\": \"A description\",\n}\n```\n\n**All the examples of this documentation will be using field typing but it is up to you if you want to use them or not.**\n\n**Exciting!**\n\nIn the documentation we go deeper in explanations and examples, this was just to warm up. \ud83d\ude01\n\n\n[edgy]: https://edgy.dymmond.com\n[saffier]: https://saffier.tarsild.io\n[models]: https://edgy.dymmond.com/models/\n[alembic]: https://alembic.sqlalchemy.org/en/latest/\n",
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