Metadata-Version: 2.3
Name: atlas-provider-sqlalchemy
Version: 0.3.1
Summary: Load sqlalchemy models into an Atlas project.
Author: Your Name
Author-email: you@example.com
Requires-Python: >=3.9,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: sqlalchemy (>=2.0.41,<3.0.0)
Requires-Dist: typer (>0.9.0,<=1.0.0)
Description-Content-Type: text/markdown

# atlas-provider-sqlalchemy

Load [SQLAlchemy](https://www.sqlalchemy.org/) models into an [Atlas](https://atlasgo.io) project.

### Use-cases
1. **Declarative migrations** - use a Terraform-like `atlas schema apply --env sqlalchemy` to apply your SQLAlchemy schema to the database.
2. **Automatic migration planning** - use `atlas migrate diff --env sqlalchemy` to automatically plan a migration from the current database version to the SQLAlchemy schema.

### Installation

Install Atlas from macOS or Linux by running:
```bash
curl -sSf https://atlasgo.sh | sh
```

See [atlasgo.io](https://atlasgo.io/getting-started#installation) for more installation options.

Install the provider by running:
```bash
# The Provider works by importing your SQLAlchemy models and extracting the schema from them.
# Therefore, you will need to run the provider from within your project's Python environment.
pip install atlas-provider-sqlalchemy
```

#### Standalone 

If all of your SQLAlchemy models exist in a single package, 
you can use the provider directly to load your SQLAlchemy schema into Atlas.

In your project directory, create a new file named `atlas.hcl` with the following contents:

```hcl
data "external_schema" "sqlalchemy" {
  program = [
    "atlas-provider-sqlalchemy",
    "--path", "./path/to/models",
    "--dialect", "mysql" // mariadb | postgresql | sqlite | mssql
  ]
}

env "sqlalchemy" {
  src = data.external_schema.sqlalchemy.url
  dev = "docker://mysql/8/dev"
  migration {
    dir = "file://migrations"
  }
  format {
    migrate {
      diff = "{{ sql . \"  \" }}"
    }
  }
}
```

#### As Python Script 

If you want to use the provider as a python script, you can use the provider as follows:

Create a new file named `load_models.py` with the following contents:

```python
# import all models
from models import User, Task
from atlas_provider_sqlalchemy.ddl import print_ddl
print_ddl("mysql", [User, Task])
```

Next, in your project directory, create a new file named `atlas.hcl` with the following contents:

```hcl
data "external_schema" "sqlalchemy" {
    program = [
        "python",
        "load_models.py"
    ]
}

env "sqlalchemy" {
  src = data.external_schema.sqlalchemy.url
  dev = "docker://mysql/8/dev"
  migration {
    dir = "file://migrations"
  }
  format {
    migrate {
      diff = "{{ sql . \"  \" }}"
    }
  }
}
```

### Usage

Once you have the provider installed, you can use it to apply your SQLAlchemy schema to the database:

#### Apply

You can use the `atlas schema apply` command to plan and apply a migration of your database to your current SQLAlchemy schema.
This works by inspecting the target database and comparing it to the SQLAlchemy schema and creating a migration plan.
Atlas will prompt you to confirm the migration plan before applying it to the database.

```bash
atlas schema apply --env sqlalchemy -u "mysql://root:password@localhost:3306/mydb"
```
Where the `-u` flag accepts the [URL](https://atlasgo.io/concepts/url) to the
target database.

#### Diff

Atlas supports a [version migration](https://atlasgo.io/concepts/declarative-vs-versioned#versioned-migrations) 
workflow, where each change to the database is versioned and recorded in a migration file. You can use the
`atlas migrate diff` command to automatically generate a migration file that will migrate the database
from its latest revision to the current SQLAlchemy schema.

```bash
atlas migrate diff --env sqlalchemy 
````

### Supported Databases

The provider supports the following databases:
* MySQL
* MariaDB
* PostgreSQL
* SQLite
* Microsoft SQL Server

### Credit

The code in this repository is based on [noamtamir/atlas-provider-sqlalchemy](https://github.com/noamtamir/atlas-provider-sqlalchemy).

### Issues

Please report any issues or feature requests in the [ariga/atlas](https://github.com/ariga/atlas/issues) repository.

### License

This project is licensed under the [Apache License 2.0](LICENSE).

