Skip to main content

``hypothesis`` strategies for generating ``SQLAlchemy`` objects.

Project description

hypothesis strategies for SQLAlchemy

In what follows

  • python is an alias for python3.5 or any later version (python3.6 and so on),
  • pypy is an alias for pypy3.5 or any later version (pypy3.6 and so on).

Installation

Install the latest pip & setuptools packages versions:

  • with CPython
    python -m pip install --upgrade pip setuptools
    
  • with PyPy
    pypy -m pip install --upgrade pip setuptools
    

User

Download and install the latest stable version from PyPI repository:

  • with CPython
    python -m pip install --upgrade hypothesis_sqlalchemy
    
  • with PyPy
    pypy -m pip install --upgrade hypothesis_sqlalchemy
    

Developer

Download the latest version from GitHub repository

git clone https://github.com/lycantropos/hypothesis_sqlalchemy.git
cd hypothesis_sqlalchemy

Install dependencies:

  • with CPython
    python -m pip install -r requirements.txt
    
  • with PyPy
    pypy -m pip install -r requirements.txt
    

Install:

  • with CPython
    python setup.py install
    
  • with PyPy
    pypy setup.py install
    

Usage

Let's take a look at what can be generated and how.

Tables

We can write a strategy that produces tables

>>> from hypothesis_sqlalchemy import tabular
>>> from sqlalchemy.schema import MetaData
>>> tables = tabular.factory(metadata=MetaData(),
...                          min_size=3,
...                          max_size=10)
>>> table = tables.example()
>>> from sqlalchemy.schema import Table
>>> isinstance(table, Table)
True
>>> from sqlalchemy.schema import Column
>>> all(isinstance(column, Column) for column in table.columns)
True
>>> 3 <= len(table.columns) <= 10
True

Records

Suppose we have a table

>>> from sqlalchemy.schema import (Column,
...                                MetaData,
...                                Table)
>>> from sqlalchemy.sql.sqltypes import (Integer,
...                                      String)
>>> metadata = MetaData()
>>> user_table = Table('user', metadata,
...                    Column('user_id', Integer,
...                           primary_key=True),
...                    Column('user_name', String(16),
...                           nullable=False),
...                    Column('email_address', String(60)),
...                    Column('password', String(20),
...                           nullable=False))

and we can write strategy that

  • produces single records (as tuples)
    >>> from hypothesis import strategies
    >>> from hypothesis_sqlalchemy import tabular
    >>> records = tabular.records.factory(user_table, 
    ...                                   email_address=strategies.emails())
    >>> record = records.example()
    >>> isinstance(record, tuple)
    True
    >>> len(record) == len(user_table.columns)
    True
    >>> all(column.nullable and value is None
    ...     or isinstance(value, column.type.python_type) 
    ...     for value, column in zip(record, user_table.columns))
    True
    
  • produces records lists (with configurable list size bounds)
    >>> from hypothesis_sqlalchemy import tabular
    >>> records_lists = tabular.records.lists_factory(user_table,
    ...                                               min_size=2,
    ...                                               max_size=5, 
    ...                                               email_address=strategies.emails())
    >>> records_list = records_lists.example()
    >>> isinstance(records_list, list)
    True
    >>> 2 <= len(records_list) <= 5
    True
    >>> all(isinstance(record, tuple) for record in records_list)
    True
    >>> all(len(record) == len(user_table.columns) for record in records_list)
    True
    

Development

Bumping version

Preparation

Install bump2version.

Pre-release

Choose which version number category to bump following semver specification.

Test bumping version

bump2version --dry-run --verbose $CATEGORY

where $CATEGORY is the target version number category name, possible values are patch/minor/major.

Bump version

bump2version --verbose $CATEGORY

This will set version to major.minor.patch-alpha.

Release

Test bumping version

bump2version --dry-run --verbose release

Bump version

bump2version --verbose release

This will set version to major.minor.patch.

Running tests

Install dependencies:

  • with CPython
    python -m pip install -r requirements-tests.txt
    
  • with PyPy
    pypy -m pip install -r requirements-tests.txt
    

Plain

pytest

Inside Docker container:

  • with CPython
    docker-compose --file docker-compose.cpython.yml up
    
  • with PyPy
    docker-compose --file docker-compose.pypy.yml up
    

Bash script (e.g. can be used in Git hooks):

  • with CPython

    ./run-tests.sh
    

    or

    ./run-tests.sh cpython
    
  • with PyPy

    ./run-tests.sh pypy
    

PowerShell script (e.g. can be used in Git hooks):

  • with CPython
    .\run-tests.ps1
    
    or
    .\run-tests.ps1 cpython
    
  • with PyPy
    .\run-tests.ps1 pypy
    

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypothesis_sqlalchemy-0.2.0.tar.gz (8.5 kB view details)

Uploaded Source

Built Distribution

hypothesis_sqlalchemy-0.2.0-py3-none-any.whl (12.6 kB view details)

Uploaded Python 3

File details

Details for the file hypothesis_sqlalchemy-0.2.0.tar.gz.

File metadata

  • Download URL: hypothesis_sqlalchemy-0.2.0.tar.gz
  • Upload date:
  • Size: 8.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for hypothesis_sqlalchemy-0.2.0.tar.gz
Algorithm Hash digest
SHA256 0571187d2ee5183186a2ab6c832f4c74d1ec03497ca1a709ebee6775efb893eb
MD5 1baeeef2e1b5c2f18f8884f92e193500
BLAKE2b-256 6d3440cbadeb0d1d419750403f1d58a330260906cb2f0f79b78e11db44591c12

See more details on using hashes here.

File details

Details for the file hypothesis_sqlalchemy-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: hypothesis_sqlalchemy-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for hypothesis_sqlalchemy-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5189ad9c76e03ad22267f35414c569a43db8fe81e66a001b8e417f7e2f3847d3
MD5 7869246ddd4860f325969e0cda2aae54
BLAKE2b-256 88acf5b327e52da5b9e19f411a81bed8f11a5b0c568ddaab785c0a3a6a197281

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page