Metadata-Version: 2.1
Name: SqlAlchemy-Tools
Version: 0.1.0b0
Summary: Wrapper to make using SqlAlchemy easier, thread safe, helper methods etc.
Home-page: https://github.com/AndyEveritt/SqlAlchemyTools
Author: Andy Everitt
Author-email: andreweveritt@e3d-online.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: flask-wtf (==0.14.3)
Requires-Dist: pandas (==1.1.4)
Requires-Dist: sqlalchemy-repr (==0.0.2)
Requires-Dist: sqlalchemy (==1.3.20)
Requires-Dist: wtforms-alchemy (==0.17.0)

# SqlAlchemyTools

SqlAlchemyTools is a tool that provides similar functionality to Flask_SqlAlchemy without being dependant on Flask.

# Installation

Install SqlAlchemyTools with pip:

```
pip install sqlalchemy-tools
```

# Features

- Database:
  - Just by instantiating with Database(), SqlAlchemyTools automatically creates the session, model and everything necessary for SQLAlchemy.
  - Works with & without a Flask app with minimal code change
  - Thread safe by using [`scoped_session`](https://docs.sqlalchemy.org/en/13/orm/contextual.html)
  - Integration with Pandas to allow quick dataframe insertion and retriving queries as dataframes
  - It provides easy methods such as query(), create(), update(), delete(), to select, create, update, delete entries respectively.
  - Autogenerate the `__tablename__` as the snake case equivalent on the model name if not explictly defined (not pluralised)
  - It uses Arrow for DateTime
  - DateTime is saved in UTC and uses the ArrowType from the SQLAlchemy-Utils
  - Added some data types: JSONType, EmailType, and the whole SQLAlchemy-Utils Type
  - db.now -> gives you the Arrow UTC type
  - Paginated results
  - Pretty object representation
  - It is still SQLAlchemy. You can access all the SQLAlchemy awesomeness
- Migration:
  - Inbuilt migration support similar to Flask-migrate
  - Create a `manage.py` file to easily migrate your database
- ModelFrom:
  - Quickly add all the fields of a model to a WTF form
  - Supports `include`, `exclude`, `only`

# Contents

- [SqlAlchemyTools](#sqlalchemytools)
- [Installation](#installation)
- [Features](#features)
- [Contents](#contents)
- [Quick Overview:](#quick-overview)
  - [Database](#database)
    - [Create the model](#create-the-model)
    - [Retrieve all records](#retrieve-all-records)
    - [Create new record](#create-new-record)
    - [Get a record by primary key (id)](#get-a-record-by-primary-key-id)
    - [Update record from primary key](#update-record-from-primary-key)
    - [Update record from query iteration](#update-record-from-query-iteration)
    - [Delete a record](#delete-a-record)
    - [Query with filter](#query-with-filter)
  - [Migration](#migration)
    - [Why use SqlAlchemyTools migration vs. Alembic directly](#why-use-sqlalchemytools-migration-vs-alembic-directly)
    - [Create `manage.py`](#create-managepy)
    - [Initialise migrations folder](#initialise-migrations-folder)
    - [Create a new migration](#create-a-new-migration)
    - [Upgrade database](#upgrade-database)
    - [Downgrade database](#downgrade-database)
    - [Help](#help)
  - [ModelForm](#modelform)
- [How to use](#how-to-use)
  - [Database](#database-1)
    - [Create a connection](#create-a-connection)
      - [Databases Drivers & DB Connection examples](#databases-drivers--db-connection-examples)
    - [Create a Model](#create-a-model)
  - [Models: _db.Model_](#models-dbmodel)
    - [db.Model Methods Description](#dbmodel-methods-description)
      - [query](#query)
      - [get(id)](#getid)
      - [create(\*\*kwargs)](#createkwargs)
      - [update(\*\*kwargs)](#updatekwargs)
      - [delete()](#delete)
      - [save()](#save)
      - [to_dict()](#to_dict)
      - [to_json()](#to_json)
      - [is_valid()](#is_valid)
      - [bulk_insert(mapping: List[Dict], \*\*kwargs)](#bulk_insertmapping-listdict-kwargs)
      - [insert_dataframe(df: pd.DataFrame)](#insert_dataframedf-pddataframe)
    - [db Methods Description](#db-methods-description)
      - [init_app(app)](#init_appapp)
      - [engine](#engine)
      - [metadata](#metadata)
      - [query](#query-1)
      - [add(\*args, \*\*kwargs)](#addargs-kwargs)
      - [flush(\*args, \*\*kwargs)](#flushargs-kwargs)
      - [commit()](#commit)
      - [rollback()](#rollback)
      - [create_all()](#create_all)
      - [drop_all()](#drop_all)
      - [reflect(meta)](#reflectmeta)
      - [get_dataframe(query)](#get_dataframequery)
      - [Method Chaining](#method-chaining)
      - [Aggegated selects](#aggegated-selects)
  - [With Web Application](#with-web-application)
    - [More examples](#more-examples)
      - [Many databases, one web app](#many-databases-one-web-app)
      - [Many web apps, one database](#many-web-apps-one-database)
  - [Pagination](#pagination)
  - [Migration](#migration-1)
    - [Setup](#setup)
    - [Usage](#usage)
      - [help](#help-1)
      - [init](#init)
      - [revision](#revision)
      - [migrate](#migrate)
      - [edit](#edit)
      - [upgrade](#upgrade)
      - [downgrade](#downgrade)
      - [stamp](#stamp)
      - [current](#current)
      - [history](#history)
      - [show](#show)
      - [merge](#merge)
      - [heads](#heads)
      - [branches](#branches)
    - [Alter Sqlite](#alter-sqlite)
      - [Complications](#complications)
    - [Configuration Callbacks](#configuration-callbacks)

# Quick Overview:

## Database

### Create the model

```python
from sqlalchemy_tools import Database

db = Database('sqlite://')

class User(db.Model):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    name = db.Column(db.String(25))
    location = db.Column(db.String(50), default="USA")
    last_access = db.Column(db.Datetime)
```

### Retrieve all records

```python
User.query.all()
```

### Create new record

```python
user = User.create(name="Mardix", location="Moon")

# or

user = User(name="Mardix", location="Moon").save()
```

### Get a record by primary key (id)

```python
user = User.get(1234)
```

### Update record from primary key

```python
user = User.get(1234)
if user:
    user.update(location="Neptune")
```

### Update record from query iteration

```python
for user in User.query:
    user.update(last_access=db.utcnow())
```

### Delete a record

```python
user = User.get(1234)
if user:
    user.delete()
```

### Query with filter

```python
all = User.query.filter(User.location == "USA")

for user in users:
    ...
```

## Migration

SqlAlchemyTools handles SQLAlchemy database migrations using Alembic. The database operations are made available through a command-line interface.

### Why use SqlAlchemyTools migration vs. Alembic directly

SqlAlchemyTools configures Alembic in the proper way to work with your database whether it is with or without Flask. In terms of the actual database migrations, everything is handled by Alembic so you get exactly the same functionality.

### Create `manage.py`

To support database migrations, you need to create a `manage.py` file.

> The file can be called anything

```python
from sqlalchemy_tools.migration import Migrate, migrate_manager
from sqlalchemy_tools import Database


# create/import your database
db = Database('sqlite:///tmp.db')

# create a `migrate` object that is linked to your database
migrate = Migrate(db)
migrate_manager.set_migrate(migrate)


class User(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(128))
    surname = db.Column(db.String(128))


if __name__ == '__main__':
    migrate_manager.main()
```

### Initialise migrations folder

The `migrations` folder need to be initialise which will contain your database versions:

```bash
python manage.py init
```

### Create a new migration

Whenever there is a change to the models that you want reflected in the database:

```bash
python manage.py migrate -m "Intial migration"
```

### Upgrade database

To upgrade the database to the latest migration:

```bash
python manage.py upgrade
```

### Downgrade database

To downgrade the database by 1 migration:

```bash
python manage.py downgrade
```

### Help

To see all the commands that are available run:

```bash
python manage.py --help
```

## ModelForm

Make a Flask compatible version of the [**WTForms-Alchemy**](https://wtforms-alchemy.readthedocs.io/en/latest/index.html) ModelForm

```python
from sqlalchemy_tools import create_model_form
from sqlalchemy_tools import Database

# create/import your database
db = Database('sqlite:///tmp.db')
ModelForm = create_model_form(db)

class UserForm(ModelForm):
    class Meta:
        model = User
        exclude = ['last_access']
```

# How to use

## Database

### Create a connection

The `Database` class is used to instantiate a SQLAlchemy connection to
a database.

```python
from sqlalchemy_tools import Database

db = Database(dialect+driver://username:password@host:port/database)
```

#### Databases Drivers & DB Connection examples

SqlAlchemyTools comes with a `PyMySQL` and `PG8000` as drivers for MySQL
and PostgreSQL respectively, because they are in pure Python. But you can use
other drivers for better performance. `SQLite` is already built in Python.

**SQLite:**

```python
from sqlalchemy_tools import Database

db = Database("sqlite://") # in memory

# or

db = Database("sqlite:///foo.db") # DB file
```

**PostgreSql:**

```python
from sqlalchemy_tools import Database

db = Database("postgresql+pg8000://user:password@host:port/dbname")
```

**PyMySQL:**

```python
from sqlalchemy_tools import Database

db = Database("mysql+pymysql://user:password@host:port/dbname")
```

---

SqlAlchemyTools also provides access to all the SQLAlchemy
functions from the `sqlalchemy` and `sqlalchemy.orm` modules.
So you can declare models like the following examples:

### Create a Model

To start, create a model class and extends it with db.Model

```python
# mymodel.py

from sqlalchemy_tools import Database

db = Database("sqlite://")

class MyModel(db.Model):
    name = db.Column(db.String(25))
    is_live = db.Column(db.Boolean, default=False)

# Put at the end of the model module to auto create all models
db.create_all()
```

- It does an automatic table naming (if no table name is already defined using the `__tablename__` property)
  by using the class name. So, for example, a `User` model gets a table named `user`, `TodoList` becomes `todo_list`
  The name will not be plurialized.

---

## Models: _db.Model_

**db.Model** extends your model with helpers that turn your model into an active record like model. But underneath, it still uses the `db.session`

`db.Model` by default assumes that your primary key is `id`, but it can be overwritten.

```python
class MyExistingModel(db.BaseModel):
    __tablename__ = "my_old_table"
    __primary_key__  = "my_pk_id"

    my_pk_id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String)
    ...
```

**BaseModel**

The default `db.Model` uses `from sqlalchemy_tools import BaseModel`. It can be changed by using a different `base_cls` on initialising the database

```python
db = Database('sqlite://', base_cls=MyBaseModel)
```

The BaseModel `__repr__` is formatted as:
`ClassName(attr_name=attr_value, ...)`

**BaseQuery**

The default model query is `from sqlalchemy_tools import BaseQuery`. It can be changed by using a different `query_cls` on initialising the database

```python
db = Database('sqlite://', query_cls=MyBaseQuery)
```

---

### db.Model Methods Description

#### query

To start querying the DB and returns a `db.session.query` object to filter or apply more conditions.

```python
for user in User.query:
    print(user.login)
```

To use with filter...

```python
all = User
        .query
        .order_by(User.updated_at.desc())
        .filter(User.location == "Charlotte")
```

#### get(id)

Get one record by id.

```python
id = 1234
user = User.get(id)
print(user.id)
print(user.login)
```

#### create(\*\*kwargs)

To create/insert new record. Same as **init**, but just a shortcut to it.

```python
record = User.create(login='abc', passw_hash='hash', profile_id=123)
print (record.login) # -> abc
```

or you can use the **init** with save()

```python
record = User(login='abc', passw_hash='hash', profile_id=123).save()
print (record.login) # -> abc
```

or

```python
record = User(login='abc', passw_hash='hash', profile_id=123)
db.add(record)
db.commit()
print (record.login) # -> abc
```

#### update(\*\*kwargs)

Update an existing record

```python
record = User.get(124)
record.update(login='new_login')
print (record.login) # -> new_login
```

#### delete()

To delete a record completely

```python
record = User.get(124)
record.delete()
```

#### save()

A shortcut to `session.add` + `session.commit()`

```python
record = User.get(124)
record.login = "Another one"
record.save()
```

#### to_dict()

Returns the model instance as a dictionary

```python
record = User.get(1234)
record_dict = record.to_dict()
```

#### to_json()

Returns the model instance as a JSON formatted string

```python
record = User.get(1234)
record_json = record.to_json()
```

#### is_valid()

Check whether the model instance will pass the database validation.

A nested session is created and the object is committed, if the commit is successful then the session is rolledback and the method returns True, else the session is rollback and the method returns False

```python
user = User(login='abc', passw_hash='hash', profile_id=123)
user.is_valid()
```

#### bulk_insert(mapping: List[Dict], \*\*kwargs)

Insert a list of dictionarys to the database

```python
User.bulk_insert([{'name': 'Andy'},
                  {'name': "Sam"}])
```

#### insert_dataframe(df: pd.DataFrame)

Insert a Pandas dataframe into the database. Faster than `bulk_insert` if you already have you data in DataFrame format

```python
df = pd.DataFrame()
... # fill df with data. Set ForeignKeys as the appropriate id, ignore relationship fields
User.insert_dataframe(df)
```

---

### db Methods Description

#### init_app(app)

This callback can be used to initialize an application for the
use with this database setup. In a web application or a multithreaded
environment, never use a database without initialize it first,
or connections will leak.

#### engine

Gives access to the engine

#### metadata

Proxy for `db.Model.metadata`

#### query

Proxy for `db.session.query`

#### add(\*args, \*\*kwargs)

Proxy for `db.session.add`

#### flush(\*args, \*\*kwargs)

Proxy for `db.session.flush`

#### commit()

Proxy for `db.session.commit`

#### rollback()

Proxy for `db.session.rollback`

#### create_all()

Creates all tables

#### drop_all()

Drops all tables

#### reflect(meta)

Reflects tables from the database

#### get_dataframe(query)

Converts a query into a Pandas DataFrame

```python
query = User.query
df = db.get_dataframe(query)

# or

df = db.get_dataframe(User.query.filter(User.name=='Dave'))
```

---

#### Method Chaining

For convenience, some method chaining are available

```python
    user = User(name="Mardix", location="Charlotte").save()

    User.get(12345).update(location="Atlanta")
```

---

#### Aggegated selects

```python
class Product(db.Model):
    name = db.Column(db.String(250))
    price = db.Column(db.Numeric)

price_label = db.func.sum(Product.price).label('price')
results = Product.query.filter(price_label)
```

---

## With Web Application

In a web application you need to call `db.session.remove()` after each response, and `db.session.rollback()` if an error occurs. However, if you are using Flask or other framework that uses the `after_request` and `on_exception` decorators, these bindings it is done automatically.

For example using Flask, you can do:

```python
app = Flask(__name__)

db = Database('sqlite://', app=app)
```

or

```python
db = Database()

app = Flask(__name__)

db.init_app(app)
```

### More examples

#### Many databases, one web app

```python
app = Flask(__name__)
db1 = Database(URI1, app)
db2 = Database(URI2, app)
```

#### Many web apps, one database

```python
db = Database(URI1)

app1 = Flask(__name__)
app2 = Flask(__name__)
db.init_app(app1)
db.init_app(app2)
```

---

## Pagination

All the results can be easily paginated

```python
users = User.query.paginate(page=2, per_page=20)
print(list(users))  # [User(21), User(22), User(23), ... , User(40)]
```

The paginator object it's an iterable that returns only the results for that page, so you use it in your templates in the same way than the original result:

```jinja
    {% for item in paginated_items %}
        <li>{{ item.name }}</li>
    {% endfor %}
```

Rendering the pages

Below your results is common that you want it to render the list of pages.

The `paginator.pages` property is an iterator that returns the page numbers, but sometimes not all of them: if there are more than 11 pages, the result will be one of these, depending of what is the current page:

Skipped page numbers are represented as `None`.

How many items are displayed can be controlled calling `paginator.iter_pages` instead.

This is one way how you could render such a pagination in your templates:

```jinja
    {% macro pagination(paginator, endpoint=None, class_='pagination') %}
        {% if not endpoint %}
            {% set endpoint = request.endpoint %}
        {% endif %}
        {% if "page" in kwargs %}
            {% do kwargs.pop("page") %}
        {% endif %}
        <nav>
            <ul class="{{ class_ }}">
              {%- if paginator.has_prev %}
                <li><a href="{{ url_for(endpoint, page=paginator.prev_page_number, **kwargs) }}"
                 rel="me prev"><span aria-hidden="true">&laquo;</span></a></li>
              {% else %}
                <li class="disabled"><span><span aria-hidden="true">&laquo;</span></span></li>
              {%- endif %}

              {%- for page in paginator.pages %}
                {% if page %}
                  {% if page != paginator.page %}
                    <li><a href="{{ url_for(endpoint, page=page, **kwargs) }}"
                     rel="me">{{ page }}</a></li>
                  {% else %}
                    <li class="active"><span>{{ page }}</span></li>
                  {% endif %}
                {% else %}
                  <li><span class=ellipsis>…</span></li>
                {% endif %}
              {%- endfor %}

              {%- if paginator.has_next %}
                <li><a href="{{ url_for(endpoint, page=paginator.next_page_number, **kwargs) }}"
                 rel="me next">»</a></li>
              {% else %}
                <li class="disabled"><span aria-hidden="true">&raquo;</span></li>
              {%- endif %}
            </ul>
        </nav>
    {% endmacro %}
```

## Migration

### Setup

SqlAlchemyTools exposes `Migrate` and `migrate_manager`

The `Migrate` class links the database and other configuration. The `migrate_manager` object contains all the cli functions

```python
from sqlalchemy_tools.migration import Migrate, migrate_manager

# create/import your database
from my_database_module import db

# create a `migrate` object that is linked to your database
migrate = Migrate(db)
migrate_manager.set_migrate(migrate)


if __name__ == '__main__':
    migrate_manager.main()
```

### Usage

After the extension is initialized, the command-line options will be available with several sub-commands through the `manage.py` type script created. Below is a list of the available sub-commands:

#### help

```
  python manage.py --help
```

Shows a list of available commands.

#### init

Initializes migration support for the application. The optional --multidb enables migrations for multiple databases configured as Flask-SQLAlchemy binds.

```
  python manage.py init [--multidb]
```

#### revision

Creates an empty revision script. The script needs to be edited manually with the upgrade and downgrade changes. See Alembic’s documentation for instructions on how to write migration scripts. An optional migration message can be included.

```
python manage.py revision [--message MESSAGE] [--autogenerate] [--sql] [--head HEAD] [--splice] [--branch-label BRANCH_LABEL] [--version-path VERSION_PATH] [--rev-id REV_ID]
```

#### migrate

Equivalent to revision --autogenerate. The migration script is populated with changes detected automatically. The generated script should to be reviewed and edited as not all types of changes can be detected automatically. This command does not make any changes to the database, just creates the revision script.

```
python manage.py migrate [--message MESSAGE] [--sql] [--head HEAD] [--splice] [--branch-label BRANCH_LABEL] [--version-path VERSION_PATH] [--rev-id REV_ID]
```

#### edit

Edit a revision script using $EDITOR.

```
python manage.py edit <revision>
```

#### upgrade

Upgrades the database. If revision isn’t given then "head" is assumed.

```
python manage.py upgrade [--sql] [--tag TAG] [--x-arg ARG] <revision>
```

#### downgrade

Downgrades the database. If revision isn’t given then -1 is assumed.

```
python manage.py downgrade [--sql] [--tag TAG] [--x-arg ARG] <revision>
```

#### stamp

Sets the revision in the database to the one given as an argument, without performing any migrations.

```
python manage.py stamp [--sql] [--tag TAG] <revision>
```

#### current

Shows the current revision of the database.

```
python manage.py current [--verbose]
```

#### history

Shows the list of migrations. If a range isn’t given then the entire history is shown.

```
python manage.py history [--rev-range REV_RANGE] [--verbose]
```

#### show

Show the revision denoted by the given symbol.

```
python manage.py show <revision>
```

#### merge

Merge two revisions together. Creates a new revision file.

```
python manage.py merge [--message MESSAGE] [--branch-label BRANCH_LABEL] [--rev-id REV_ID] <revisions>
```

#### heads

Show current available heads in the revision script directory.

```
python manage.py heads [--verbose] [--resolve-dependencies]
```

#### branches

Show current branch points.

```
python manage.py branches [--verbose]
```

Notes:

- All commands also take a --directory DIRECTORY option that points to the directory containing the migration scripts. If this argument is omitted the directory used is migrations.
- The default directory can also be specified as a directory argument to the Migrate constructor.
- The --sql option present in several commands performs an ‘offline’ mode migration. Instead of executing the database commands the SQL statements that need to be executed are printed to the console.
- Detailed documentation on these commands can be found in the Alembic’s command reference page.

### Alter Sqlite

Sqlite does not support altering columns. A work around is to use `render_as_batch=True` when initialising the `Migrate` object.

```python
from sqlalchemy_tools.migration import Migrate, migrate_manager

# create/import your database
from my_database_module import db

# create a `migrate` object that is linked to your database
migrate = Migrate(db, render_as_batch=True)
migrate_manager.set_migrate(migrate)
```

#### Complications

There are situations where batch mode alone does not solve upgrade errors.

A nasty type of issue occurs when the `ALTER TABLE` error occurs in the middle of a migration, after some operations were already applied. This could leave the database in an inconsistent state, where some changes from the migration script have been applied, but because of the error, the version is still pointing to the previous migration.

To unblock a database after a partial migration was applied, follow these steps:

- Determine which of the operations were applied
- Delete everything from the `upgrade()` function
- Edit the `downgrade()` function so that it only contains the reverse of the operations that were applied to your database
- Run `python manage.py upgrade`. This is going to update the database version
- Run `python manage.py downgrade`
- Delete the migration script and try again with batch mode enabled

Another common issue occurs when your table has unnamed constraints, which the batch mode process can't delete or modify because there is no way to refer to them by name. The Alembic documentation has some information on how to deal with unnamed constraints when using batch mode.

### Configuration Callbacks

Sometimes applications need to dynamically insert their own settings into the Alembic configuration. A function decorated with the configure callback will be invoked after the configuration is read, and before it is used. The function can modify the configuration object, or replace it with a different one.

```python
@migrate.configure
def configure_alembic(config):
    # modify config object
    return config
```

Multiple configuration callbacks can be defined simply by decorating multiple functions. The order in which multiple callbacks are invoked is undetermined.


