nova-pg

nova-pg is a Python package designed to simplify and streamline interactions with PostgreSQL databases.
It provides a set of helper functions that make it easier to connect, query, and manage data in a scalable and reusable way.

The main goal of this project is to accelerate development, enable scalability, and offer a portable package that can be easily integrated wherever database access is required.

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📦 Installation (PyPI Package)

You can install Nova PG directly from PyPI using pip:

pip install nova-pg

Or, if you want to test the latest version from TestPyPI, use:

pip install -i https://test.pypi.org/simple --extra-index-url https://pypi.org/simple nova-pg

🧩 Repository Structure

This repository includes:

• Example configuration files for environment setup.
• A dedicated test folder to validate the functionality of the helper functions.
• A Docker-based development environment for consistent and isolated builds.

🧰 Development Environment (DevContainer + Docker)

Follow these steps to set up your local development environment:

1. Clone the repository:

   git clone https://github.com/santarsierilorenzo/nova-pg.git

2. Copy the example dev container configuration file:

   cp .devcontainer/devcontainer.json.example .devcontainer/devcontainer.json

3. Open VS Code and rebuild the container without cache:

   Ctrl + Shift + P → Rebuild Container Without Cache and Reopen in Container

4. Once the Docker container is running, you’ll have access to all required dependencies and tools pre-installed.

🐘 Get Started

1. Copy db_config.json.example, rename it to db_config.json, and fill it with your database credentials.

2. Import the package:

import nova_pg

3. Load your database credentials from db_config.json:

db_cred = nova_pg.config.load_db_config(
    config_file_path="path_to_your_json",
    env_name="dev"
)

4. Build your connection string:

url_db = nova_pg.config.build_connection_string(
    db_cred_dict=db_cred
)

5. Use functions in the utils module:

QUERY = """
SELECT *
FROM prices.nq_1_min
"""

with nova_pg.utils.get_cursor(url_db) as cur:
    cols, data = nova_pg.utils.fetch_in_chunks(
        cur=cur,
        query=QUERY,
        table_name="nq_1_min",
        batch_size=10000            
    )