Pgmonkey

Latest version: v1.1.8

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1.0.4

🛠 **Python Code Generation for PostgreSQL Connections**:
Now you can automatically generate Python code that matches your PostgreSQL configuration! Whether your connection type is synchronous, asynchronous, or pooled, pgmonkey will generate the proper code for you, ready to be integrated into your projects.

- **Support for all connection types**:
- **Normal connections**: Generate Python code for standard synchronous PostgreSQL connections.
- **Pooled connections**: Handle multiple connections using a connection pool.
- **Asynchronous connections**: Easily generate code for async operations.
- **Asynchronous pooled connections**: Generate Python code to manage async connections in a pool.

💻 **Simplified CLI Commands**:
With this release, you can generate Python code directly from the command line by running a single command:
bash
pgmonkey pgconfig generate-code --filepath /path/to/your/config.yaml

This command will inspect your YAML configuration and generate the appropriate Python code.

Why Update?

- **Save Development Time**: Automatically generate fully functional connection code based on your exact configuration.
- **Support for Multiple Configurations**: Whether you’re using pooling, async, or normal connections, pgmonkey generates the appropriate code.
- **Seamless Integration**: Get connection code that can be dropped into your projects with little to no modification.

How to Use:
- **Generate Code**: Run the following command to generate Python connection code from your YAML config:
bash
pgmonkey pgconfig generate-code --filepath /path/to/your/config.yaml


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Upgrade to pgmonkey 1.0.4 today and take advantage of this powerful new feature! As always, we’re grateful for your feedback and continued support. Happy coding! 🐒💻✨

1.0.3

- **Stability**: This release ensures that connections—whether synchronous, asynchronous, pooled, or single—are handled correctly with improved stability and consistency.
- **Bug Fixes**: Addressed specific bugs that affected connection pooling behavior and connection testing for both normal and async connections.
- **Improved Error Handling**: Get clearer, more actionable feedback if something goes wrong with your connection tests.

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We appreciate your continued support and feedback! Update to **pgmonkey 1.0.3** today to enjoy even smoother and more reliable database management.

Happy coding! 🐒🎉

1.0.2

- **Simplified Connection Testing:**
- We've streamlined the way pgmonkey tests database connections.
- Now, testing your database connection is as simple as a single command, making the process more user-friendly and efficient.

- **Improved Stability:**
- Fixed minor issues that could affect connection testing.
- Enhanced overall reliability, ensuring pgmonkey runs seamlessly across different environments.

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**Why Update?**

- **Ease of Use:** Simplified commands and processes mean you can focus more on your projects and less on setup.
- **Reliability:** With enhanced stability, pgmonkey offers a more consistent and dependable experience.
- **Efficiency:** Streamlined operations help you work faster and more effectively.

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Thank you for being a part of our journey! Your feedback helps us make pgmonkey better with each release. Update to **1.0.2** today and enjoy a smoother database management experience.

Happy coding! 🐒🎉

1.0.1

We’re excited to announce the 1.0.1 release of pgmonkey, and it’s packed with essential improvements and enhancements, particularly around dependency compatibility and testing!

In this release, we've:

Integrated Jenkins Testing: We've implemented automated testing with Jenkins, ensuring that pgmonkey is rigorously tested across multiple combinations of Python, psycopg, psycopg_pool, and PyYAML versions. This enhances stability and provides confidence for developers.

Thorough Dependency Testing: Through our Jenkins pipeline, we've identified and confirmed compatibility for a wide range of dependencies. Now, pgmonkey has been verified to work with Python versions 3.9, 3.10, 3.11, and 3.12, alongside specific versions of psycopg, psycopg_pool, and PyYAML.

Refined Dependency Management: Based on the tests, our core dependencies have been updated to reflect the verified versions:

1.0.0

🚀 **Welcome to the 1.0.0 Release of pgmonkey!** 🍾

Today, we're setting sail on our grand voyage with the official launch of version 1.0.0!
Just like a ship embarking on its maiden voyage, we're navigating the exciting waters of innovation and stability.

We've stocked our vessel with robust features, ironed out the sails (aka bugs), and polished the deck to ensure a smooth ride for all our users. To celebrate this momentous launch, imagine us smashing a bottle of champagne against the hull—signifying not just a successful launch but also a festive beginning to many more adventures!

Dive into our comprehensive documentation to explore all the capabilities now at your fingertips. This version is not just a reflection of hard work and dedication, but also a foundation for future innovation and enhancements.

Thank you for joining us on this journey. We look forward to navigating the thrilling currents of development with you at the helm!

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