Skip to main content

Sql handler class controlling sqlalchemy resources and granting access to sqlalchemy object subclasses with additional convenience methods.

Project description

Overview

Provides a thick wrapper around some SQLAlchemy operations with lots of conveniences:

The Sql class

  • Central handler class
  • Automatically start connections based on prior configuration
  • Preconfigured SQLAlchemy Session subclass bound which produces special Query objects with its Session.query() method.
  • Unique Database object bound to its Sql.database attribute, which manages the SQLAlchemy MetaData, DeclarativeBase, and AutomapBase objects
  • Produce a pre-configured alembic Operations object for simple programmatic migrations
  • Create a table from a Pandas DataFrame or subtypes Frame, with an autoincrementing primary key
  • Log class that captures raw SQL with inline literal binds from custom expression classes (Select, Insert, Update, Delete) when activated
  • Create and drop table operations that work on mapped classes and raw tables, which update the metadata and database accessors to keep everything in sync
  • Provides access to the most common parts of the SQLAlchemy API

The Config class

  • Simple API for configuring database URLs that can be easily reused
  • When Providing a default host and database, Sql will no longer require arguments when connecting
  • Add or remove config programatically as well as by importing/exporting JSON files

The Model class

  • A SQLAlchemy declarative base with a few utility methods
  • Model.insert(), Model.update(), and Model.delete() will perform the respective operations within their bound session
  • Model.frame() converts a record to a subtypes.Frame with a single row
  • Other classmethods: Model.create(), Model.drop(), Model.query(), Model.join() (for cleaner joins in expression constructs), Model.c() (easier access to the table columns), and Model.alias()

The Query class

  • Alias methods Query.from_() (Query.select_from()), Query.where() (Query.filter()), Query.set_() (Query.update(), with automatic 'fetch' behaviour)
  • Query.frame() method for conversion to subtypes.Frame
  • Query.scalar_col() method for conversion of a single column to a list
  • Implemented string magic method producing the query with inline literal binds

The Database class

  • Database.orm and Database.objects attributes can be used to access database objects via attribute access (eg Database.orm.log.main)
  • Database.orm yields mapped classes, but only for database objects with a primary key
  • Database.objects yields raw table objects, and should allow access to any database object, even those without a primary key, views, etc.
  • Database reflection occurs automatically when attempting to access a schema or database object using these accessors
  • The MetaData is automatically cached for 5 days after each reflection operation, causing the Database object to start with pre-populated schemas on subsequent instanciation

Custom expression classes

  • Select, Update, Insert, and Delete subclasses with various extra methods
  • .resolve() method facilitates performing queries with user interaction

Installation

To install use pip:

$ pip install [project_name]

Or clone the repo:

$ git clone https://github.com/matthewgdv/sqlhandler.git
$ python setup.py install

Usage

[Usage]

Contributing

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.

You can contribute in many ways:

Report Bugs

Report bugs at https://github.com/matthewgdv/sqlhandler/issues

If you are reporting a bug, please include:

  • Your operating system name and version.
  • Any details about your local setup that might be helpful in troubleshooting.
  • Detailed steps to reproduce the bug.

Fix Bugs

Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement a fix for it.

Implement Features

Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.

Write Documentation

The repository could always use more documentation, whether as part of the official docs, in docstrings, or even on the web in blog posts, articles, and such.

Submit Feedback

The best way to send feedback is to file an issue at https://github.com/matthewgdv/sqlhandler/issues.

If you are proposing a new feature:

  • Explain in detail how it would work.
  • Keep the scope as narrow as possible, to make it easier to implement.
  • Remember that this is a volunteer-driven project, and that contributions are welcome :)

Get Started!

Before you submit a pull request, check that it meets these guidelines:

  1. If the pull request adds functionality, it should include tests and the docs should be updated. Write docstrings for any functions that are part of the external API, and add the feature to the README.md.

  2. If the pull request fixes a bug, tests should be added proving that the bug has been fixed. However, no update to the docs is necessary for bugfixes.

  3. The pull request should work for the newest version of Python (currently 3.7). Older versions may incidentally work, but are not officially supported.

  4. Inline type hints should be used, with an emphasis on ensuring that introspection and autocompletion tools such as Jedi are able to understand the code wherever possible.

  5. PEP8 guidelines should be followed where possible, but deviations from it where it makes sense and improves legibility are encouraged. The following PEP8 error codes can be safely ignored: E121, E123, E126, E226, E24, E704, W503

  6. This repository intentionally disallows the PEP8 79-character limit. Therefore, any contributions adhering to this convention will be rejected. As a rule of thumb you should endeavor to stay under 200 characters except where going over preserves alignment, or where the line is mostly non-algorythmic code, such as extremely long strings or function calls.

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

sqlhandler-0.0.1.tar.gz (18.2 kB view details)

Uploaded Source

Built Distribution

sqlhandler-0.0.1-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file sqlhandler-0.0.1.tar.gz.

File metadata

  • Download URL: sqlhandler-0.0.1.tar.gz
  • Upload date:
  • Size: 18.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for sqlhandler-0.0.1.tar.gz
Algorithm Hash digest
SHA256 05eb3b493e6b8ae8059c1919fc5ca8864937253e69dda95ed9ddd7e8c5f0f6cd
MD5 4cd377d06cf96f11afdb6219feff89be
BLAKE2b-256 f4556b2df0f7c588fbfc61851432c6718d4db2f048cf28593df6d92a57bcf7f2

See more details on using hashes here.

File details

Details for the file sqlhandler-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: sqlhandler-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for sqlhandler-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8174ed4417b4c5c0f690872ae7ec204cb90de3dc51680a9e23b0584c9c244b79
MD5 4ec88de2f25999cce21c3bc37d591a37
BLAKE2b-256 fcd0c6883eba1a68395aec4ef625bdfb60d025ca14e3e7e15edea28cb2fd57aa

See more details on using hashes here.

Supported by

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