Welcome to the Report Generation project. This project is developed in Python and enables effective and efficient report generation through data extraction from the Hubspot and Facebook APIs. This section only reflects the extraction part from Hubspot.

This project is designed to generate reports on sales, availability, and credit checks. It combines this information with data extracted from Facebook, stored in a database where all data is processed to generate precise and efficient reports.

Here are the links to the different repositories for the project:

• Main repository: Source Code on GitHub
• Documentation repository: Documentation on GitHub

This project was created by:

• AxierPer
  • AxierPer - [email protected]
  • 
• HiDETORAx64
  • HiDETORAx64 - [email protected]
  • 

• Python 3.12 or higher
• poetry 1.8.4 or higher

1. Install poetry:

   pip install poetry
   

1. Clone the main repository:

   git clone https://github.com/xherpa/reportes_python
   cd reportes-python
   

2. Install project dependencies:

    poetry install
   

3. Activate the virtual environment:

   poetry shell
   

4. Run the project:

   # LINUX
       python3 main.py
   
   # WINDOWS
       python main.py
   
   

There are multiple routes available for data extractions and report generation. Data is extracted directly from Hubspot and Facebook APIs, processed, and stored in the database. A history is maintained for both Facebook and Hubspot data as well as generated reports, organized by year, month, and day to make searches and queries more efficient.

You can find more details about the project implementation and usage in the Documentation Repository.

This project is licensed under the MIT License - see the LICENSE file for details.

If you have any questions or suggestions, feel free to contact the authors:

AxierPer - [email protected]

HiDETORAx64 - [email protected]