Skip to main content

The library to work with MySQL databases for Python

Project description

PyWithMySQL

PyWithMySQL is a simple and easy-to-use Python library for working with MySQL databases. It provides methods for connecting to the database, performing CRUD operations, and handling MySQL queries efficiently.

Installation You can install the library using pip:

pip install pywithmysql==0.1.7 Features Easy connection setup with MySQL Supports basic CRUD operations (Create, Read, Update, Delete) Flexible and extensible methods Error handling for database operations

Usage Here is a quick example of how to use the library:

from pywithmysql.settings import SettingsTable
from pywithmysql.config import DataBaseConfig

# Define your database configuration
config = DataBaseConfig(
    host="localhost",
    port=3306,
    user="root",
    password="password",
    db_name="test_db"
)

# Initialize the settings table with the table name
table = SettingsTable(config, "users")

# Connect to the database
table.connect()

# Create a new entry in the table
table.create(names=["name", "age"], values=["'Alice'", "30"])

# Read all entries from the table
rows = table.read_all()
for row in rows:
    print(row)

# Update an entry
table.update_data(names=("age",), values=("31",), id=1)

# Delete an entry by id
table.delete_for_id(id=1)

# Disconnect from the database
table.disconnect()

Creating a Table

To create a table, use the Table class along with the Column class to define columns. Here’s a code example:

from pywithmysql.table import Table, Column
from pywithmysql.types import IntegerField, CharField
from pywithmysql.config import DataBaseConfig

# Database connection settings
config = DataBaseConfig(
    host="localhost",
    port=3306,
    user="user",
    password="password",
    db_name="db_name"
)

# Initialize Table
table = Table(
    "users",
    config,
    Column("username", CharField, max_length=45, nullable=False, unique=True),
    Column("age", IntegerField, default=18),
    Column("email", CharField, max_length=100, unique=True, nullable=False),
    Column("phone_number", CharField, unique=True)

)

# Create the table
table.create_table()

Methods

connect() Establishes a connection to the MySQL database using the provided configuration.

create(names: list, values: list) Inserts a new row into the table. You must provide column names and their corresponding values.

read_all() Fetches all rows from the table.

update_data(names: tuple, values: tuple, id: int) Updates specific fields for a row with the given id.

delete_for_id(id: int) Deletes a row from the table based on the provided id.

disconnect() Closes the connection to the MySQL database.

License

This project is licensed under the MIT License.

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

pywithmysql-0.1.8.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pywithmysql-0.1.8-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file pywithmysql-0.1.8.tar.gz.

File metadata

  • Download URL: pywithmysql-0.1.8.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.4

File hashes

Hashes for pywithmysql-0.1.8.tar.gz
Algorithm Hash digest
SHA256 3487222cbc526dfb6a3fc47456914c00761c0392d50eafaf84125edf5b708b46
MD5 b58b32e56fb00d74cd40e11896567605
BLAKE2b-256 9bafd94f55c5996518d7428942698f0ffdfc31ef779adf6b2d36316ef641ea86

See more details on using hashes here.

File details

Details for the file pywithmysql-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: pywithmysql-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 8.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.4

File hashes

Hashes for pywithmysql-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 e7961dd36ebb33b9ac5cc1d27c7a73dd28e948fca69832785382558ae0c86a40
MD5 5def3583ec648976c943d4f98fe839c9
BLAKE2b-256 f070615d466d58e65aeea3becd549f5e3642a17fe8867fbc79f7e69ca6263b05

See more details on using hashes here.

Supported by

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