This Python script connects to a PostgreSQL database, fetches data from a specified table, and exports the data to a CSV file. Additionally, it saves images stored as base64 strings in the database to individual image files.

• Python 3.10 or higher
• PostgreSQL database with the required table
• Python packages listed in requirements.txt

1. Clone the repository:

   git clone https://github.com/yourusername/your-repository.git
   cd your-repository

2. Install dependencies:

   pip install -r requirements.txt

3. Rename the project file .env.example to .env and set the following environment variables:

   POSTGRES_DB=your_database_name
   POSTGRES_USER=your_database_user
   POSTGRES_PASSWORD=your_database_password
   POSTGRES_HOST=your_database_host
   POSTGRES_PORT=your_database_port
   
   PGADMIN_DEFAULT_EMAIL=[email protected]
   PGADMIN_DEFAULT_PASSWORD=xxx

1. Run the script:

   python main.py

   This will connect to the PostgreSQL database, fetch data from the specified table, and export it to a CSV file (output.csv) in the project root. Image files will be saved in the images directory.

2. Customize SQL Query (Optional):

   Edit the SQL query in the DataProcessor class within main.py to fetch data based on your specific requirements:

   # Customize your SQL query here
   cur.execute("SELECT * FROM your_schema.your_table")

   Replace your_schema and your_table with your specific schema and table names.

3. View the Output:

   The exported CSV file (output.csv) will contain the selected data columns. Image files will be saved in the images directory with filenames generated based on the first two columns of the fetched data.

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