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-0.1.212.tar.gz (6.4 kB view details)

Uploaded Source

Built Distribution

dbpyman-0.1.212-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file dbpyman-0.1.212.tar.gz.

File metadata

  • Download URL: dbpyman-0.1.212.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for dbpyman-0.1.212.tar.gz
Algorithm Hash digest
SHA256 5a6934255f66d217bd694e909ec0345acc049244cc04123f0de6ba1ffdc50ca3
MD5 81d55fb993e70dfd2f4c200637b991b3
BLAKE2b-256 ecfe1ba743d6245df44a1c899cb517c17ce7c982618cbe200a8a3144b9c4e8d3

See more details on using hashes here.

File details

Details for the file dbpyman-0.1.212-py3-none-any.whl.

File metadata

  • Download URL: dbpyman-0.1.212-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for dbpyman-0.1.212-py3-none-any.whl
Algorithm Hash digest
SHA256 24ad21942b94372f09e32082624a0e8be07ebceeb2229f8971aae9bbac89f7c9
MD5 8120351ed02d3ae5387fbaa0c4e60c87
BLAKE2b-256 3efc5bbbc290959ad3956d65fa2113299a4e39838535c737b5c4d17fede748b2

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