querysource 4.1.11

Aiohttp web service for querying several databases easily

QuerySource

QuerySource is a powerful Python library designed to streamline access to multiple databases and external APIs through a single, unified interface. Utilizing the proxy design pattern, QuerySource allows developers to seamlessly integrate various data sources into their projects without worrying about the complexities of managing multiple connections.

Features

• Unified interface for querying multiple databases (Redis, PostgreSQL, MySQL, Oracle, SQL Server, InfluxDB, CouchDB, Druid)
• Support for external APIs (Salesforce, ShopperTrack, ZipCodeAPI, etc.)
• Easy-to-use API for executing queries
• Extensible design, allowing for easy addition of new data sources

Installation

$ pip install querysource
---> 100%
Successfully installed querysource

Requirements

• Python >= 3.9
• asyncio (https://pypi.python.org/pypi/asyncio/)

Basic Usage

QuerySource can be used in several ways, one is using QS object itself:

from querysource.queries.qs import QS

query = QS(
    query='SELECT * FROM tests',
    output_format='pandas'
)
result, error = await query.query()

Extending QuerySource

To add support for a new data source, create a new class inheriting from the BaseProvider or BaseAPI class and implement the required methods (prepare_connection, query, close). Then, register the new data source in the QuerySource class by adding it to the appropriate dictionary (_supported_databases or _supported_apis).

Contributing

We welcome contributions to QuerySource! If you'd like to contribute, please follow these steps:

• Fork the repository
• Create a new branch for your feature or bugfix
• Implement your changes
• Add tests covering your changes
• Create a pull request against the original repository

Contribution guidelines

• Writing tests
• Code review
• Other guidelines

License

QuerySource is released under the BSD License. See the LICENSE file for more details.