Metadata-Version: 2.1
Name: alchql
Version: 3.2.15.18635424
Summary: Graphene SQLAlchemy core integration
Home-page: https://github.com/startupmillio/alchql
Author: Yorsh Sergey
Author-email: myrik260138@gmail.com
License: MIT
Keywords: api graphql protocol rest relay graphene
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
Provides-Extra: test
License-File: LICENSE.md

Please read [UPGRADE-v2.0.md](https://github.com/graphql-python/graphene/blob/master/UPGRADE-v2.0.md)
to learn how to upgrade to Graphene `2.0`.

---

# AlchQL

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A [SQLAlchemy](http://www.sqlalchemy.org/) integration for [Graphene](http://graphene-python.org/).

## Installation

For instaling graphene, just run this command in your shell

```bash
pip install "alchql>=3.0"
```

## Examples

Here is a simple SQLAlchemy model:

```python
from sqlalchemy import Column, Integer, String

from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()


class UserModel(Base):
    __tablename__ = 'user'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    last_name = Column(String)
```

To create a GraphQL schema for it you simply have to write the following:

```python
import graphene
from alchql import SQLAlchemyObjectType


class User(SQLAlchemyObjectType):
    class Meta:
        model = UserModel
        # use `only_fields` to only expose specific fields ie "name"
        # only_fields = ("name",)
        # use `exclude_fields` to exclude specific fields ie "last_name"
        # exclude_fields = ("last_name",)


class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        query = await User.get_query(info)  # SQLAlchemy query
        return query.all()


schema = graphene.Schema(query=Query)
```

Then you can simply query the schema:

```python
query = '''
    query {
      users {
        name,
        lastName
      }
    }
'''
result = schema.execute(query, context_value={'session': db_session})
```

You may also subclass SQLAlchemyObjectType by providing `abstract = True` in
your subclasses Meta:

```python
from alchql import SQLAlchemyObjectType
import sqlalchemy as sa
import graphene


class ActiveSQLAlchemyObjectType(SQLAlchemyObjectType):
    class Meta:
        abstract = True

    @classmethod
    async def get_node(cls, info, id):
        return (await cls.get_query(info)).filter(
            sa.and_(
                cls._meta.model.deleted_at == None,
                cls._meta.model.id == id
            )
        ).first()


class User(ActiveSQLAlchemyObjectType):
    class Meta:
        model = UserModel


class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        query = await User.get_query(info)  # SQLAlchemy query
        return query.all()


schema = graphene.Schema(query=Query)
```

### Full Examples

To learn more check out the following [examples](examples/):

- [Flask SQLAlchemy example](examples/flask_sqlalchemy)
- [Nameko SQLAlchemy example](examples/nameko_sqlalchemy)
- [FastAPI SQLAlchemy example](examples/fastapi_sqlalchemy)
