Skip to main content

A package used to modify & view your MySQL database data dynamically

Project description

Discord Mysql Management Framework

This package is used to dynamically add new data to your existing Mysql tables.
You're also able to delete or view data.
It'll return you an embed & a view for you to send back.

Built With

Python MySQL Discord

How to get started

  1. Install the package
pip install dbpyman
  1. Create a new command for your discord Bot and create a database object inside that.
database = Database(host='db_host',
                    user='db_user',
                    password='db_password',
                    port=3306,
                    database_name='db_name',
                    charset='utf8mb4')
  1. Call create_db_management and pass the database object as the parameter and return your embed & view
database = Database(host='db_host',
                    user='db_user',
                    password='db_password',
                    port=3306,
                    database_name='db_name',
                    charset='utf8mb4')

embed, view = dbpyman.create_db_management(database)
  1. Use the returned embed & view and attach them to your message
database = Database(host='db_host',
                    user='db_user',
                    password='db_password',
                    port=3306,
                    database_name='db_name',
                    charset='utf8mb4')

embed, view = dbpyman.create_db_management(database)

await interaction.response.send_message(embed=embed, view=view)

Advanced usage

The framework features various methodes to further customize the UI & behavior of your data management process.

Hide certain tables from the embed

In general the framework will attach all tables as buttons to the view.
You can prevent that by using

database = Database(...)
database.set_table_hidden('MyTableName')
database.set_table_hidden('MySecondTableName')

embed, view = dbpyman.create_db_management(database)

Set a default value for a column

This will set a default value for that specific column. When adding data to a table, you'll see the default value as the input preview. This will also allow you to skip the insertion of those specific column input fields and simply use the assigned default value when that input field is empty ( even if the table is marked as NOT NULL ).

database = Database(...)
database.set_column_default_value('MyTableName', 'MyColumnName', 0)
database.set_column_default_value('MySecondTableName', 'MySecondColumnName', 'Banana')

embed, view = dbpyman.create_db_management(database)

Contribute

Feel free to contribute to the project, it's open source.
It's probably possible to not only support MySQL and work with inheritance to allow other database types.

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

dbpyman-1.0.0.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

dbpyman-1.0.0-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file dbpyman-1.0.0.tar.gz.

File metadata

  • Download URL: dbpyman-1.0.0.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for dbpyman-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5b97503719d8e97240f4f657c997484ae0581b09973aea14515a04180d4dc18e
MD5 56a288ff424152fb14c1925dfe24fefc
BLAKE2b-256 74ae450cc62ec6edb6d8849be71bfff1720a9c37221bec2aa087602e64456461

See more details on using hashes here.

File details

Details for the file dbpyman-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: dbpyman-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for dbpyman-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 59e9218b509c61d08d02d0610e7a7f2a1b81a36ff7f8ad8b70aa884bd9b5ce0a
MD5 7f51ac2dee4366dfdf5888d6ad3b856e
BLAKE2b-256 f9d812a59054f629ba28b0ac6ddc88e2b6f3a5cb20febda86626588018c61c37

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