Skip to main content

database scheme for my personal server.

Project description

square_database_structure

📌 versioning: see CHANGELOG.md.

about

python module to define postgresql database schemas using sqlalchemy.

goals

  • clear database → schema → table hierarchy
  • reusable (template) across multiple projects
  • single source of truth for schema and data

installation

pip install square_database_structure

usage

this module organizes database schemas in a standardized folder structure where each top-level folder represents a database, and subfolders within it represent schemas. all mandatory components, such as __init__.py and tables.py, data.py, stored_procedures_and_functions need to follow this structure.

folder structure

square_database_structure/
├───main.py                                       # global definition file (mandatory)
├───create_database.py                            # global database creation file (mandatory)
└───database1/                                    # each folder corresponds to a separate database
    ├───__init__.py                               # contains the global name for the database (mandatory)
    └───schema1/                                  # each subfolder corresponds to a schema within the database
        ├───__init__.py                           # contains the global name for the schema (mandatory)
        ├───data.py                               # contains the data for insertion for the schema (mandatory)
        ├───enums.py                              # defines enums to be used in the schema (optional)
        ├───tables.py                             # defines tables of the schema (mandatory)
        └───stored_procedures_and_functions/      # contains stored procedures and functions for the schema (mandatory)
            ├───__init__.py                       # contains logic to discover sql files (mandatory)
            └───function1.sql                      # function or stored procedure sql file (optional)
  • top-level folders: represent individual databases (e.g., database1).
  • subfolders: represent schemas within each database (e.g., public, schema1).
  • mandatory files:
    • __init__.py (both at the database and schema level).
    • tables.py within each schema.
    • data.py within each schema.
    • stored_procedures_and_functions package within each schema.

defining database and schema names in __init__.py

each database and schema folder must contain an __init__.py file where the database and schema names are defined as global variables.

example for database:

# database1/__init__.py

global_string_database_name = "database1"  # mandatory: database name

example for schema:

# database1/schema1/__init__.py

global_string_schema_name = "schema1"  # mandatory: schema name

defining tables in tables.py

each schema folder must contain a tables.py file where:

  • you must declare a Base object tied to the schema.
  • you can define table classes, extending the Base object.

example tables.py:

# tables.py
from sqlalchemy import Column, Integer, String, MetaData
from sqlalchemy.ext.declarative import declarative_base
from square_database_structure.square.public import global_string_schema_name

# 1. mandatory: declare Base with metadata pointing to the schema

Base = declarative_base(metadata=MetaData(schema=global_string_schema_name))


# 2.optional: define table classes by extending Base

class App(Base):
    __tablename__ = 'app'


id = Column(Integer, primary_key=True)
app_name = Column(String, nullable=False)

defining data in data.py

  • you must declare a data_to_insert list to store optional data that may be inserted into the schema's tables.
from square_database_structure.square.public.tables import App

# 1. mandatory: initialize a list for optional data insertion
data_to_insert = []
# optional: append data to be inserted into the table
data_to_insert.append(App(app_name="example_app"))

defining function or stored procedure in stored_procedures_and_functions package

  • paste this logic in the __init__.py of this package to discover all sql files.
from pathlib import Path

directory = Path(__file__).parent
stored_procedures_and_functions = []

for file_path in directory.iterdir():
    if file_path.is_file() and file_path.suffix == ".sql":
        with file_path.open("r") as file:
            content = file.read()
            stored_procedures_and_functions.append(content)
  • you can keep raw sql files each containing ideally 1 stored procedure or function.
  • the name of the file should ideally correspond to the function / procedure name.
  • this raw sql should be compatible with postgres database.
CREATE OR REPLACE FUNCTION add_user(
    p_username VARCHAR,
    p_email VARCHAR
) RETURNS TEXT AS $$
BEGIN
    -- Insert a new user into the users table
    INSERT INTO users (username, email)
    VALUES (p_username, p_email);

    -- Return a success message
    RETURN 'User added successfully!';
END;
$$ LANGUAGE plpgsql;

centralized definitions in main.py

the main.py file is mandatory and contains a global list that maps databases to schemas and their corresponding table definitions. this list is manually created by the user (for now).

example main.py:

# main.py

from square_database_structure.square.public import global_string_schema_name as schema1_name
from square_database_structure.square.public.tables import Base as Schema1Base
from square_database_structure.square.public.data import data_to_insert as schema1_data
from square_database_structure.square.public.stored_procedures_and_functions import (
    stored_procedures_and_functions as schema1_stored_procedures_and_functions)
from square_database_structure.square import global_string_database_name as database1_name

# global list that maps databases and schemas

global_list_create = [
    {
        "database": database1_name,  # mandatory: database name
        "schemas": [
            {
                "schema": schema1_name,  # mandatory: schema name
                "base": Schema1Base,  # mandatory: base for this schema
                "data_to_insert": schema1_data,  # mandatory: data to insert (even if empty)
                "stored_procedures_and_functions": schema1_stored_procedures_and_functions,
                # mandatory: stored procedures and functions (even if empty)
            },
        ],
    }
]

this file centralizes the definition of each database and schema, including the associated Base and data_to_insert for table definitions.

creating tables

once you have defined your databases, schemas, and tables, you can create them in your PostgreSQL database by using the create_database_and_tables function.

from square_database_structure import create_database_and_tables

# define the database connection details
db_username = "your_username"
db_password = "your_password"
db_ip = "localhost"
db_port = 5432

# call the function to create the database and tables
create_database_and_tables(db_username, db_password, db_ip, db_port)

env

  • python>=3.12.0
  • postgresql >= 13

feedback is appreciated. thank you!

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

square_database_structure-2.6.0.tar.gz (24.3 kB view details)

Uploaded Source

Built Distribution

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

square_database_structure-2.6.0-py3-none-any.whl (30.4 kB view details)

Uploaded Python 3

File details

Details for the file square_database_structure-2.6.0.tar.gz.

File metadata

File hashes

Hashes for square_database_structure-2.6.0.tar.gz
Algorithm Hash digest
SHA256 b17caa05e8bc04faf563366565bb92c915a23ab205a3e85d8f6b55bd9f3e058b
MD5 2c8a2183384f6201a0fb994b76ff45b8
BLAKE2b-256 4def0d11e4914c5cf808b2b2860b3e4dfa813858a46b74cac01983e359c439d6

See more details on using hashes here.

File details

Details for the file square_database_structure-2.6.0-py3-none-any.whl.

File metadata

File hashes

Hashes for square_database_structure-2.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9a897b20a9a1d5ba022b6de7e795433a4d22767322c4f0f643241b8e436ff262
MD5 e4fd4b50942f4f836812eec27340f6ed
BLAKE2b-256 bacd25e9a4e6470e20747905f11c997daf1c8aacf6e0a89a8a742bd6b42ed03d

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