Generating PostgreSQL Queries from Array List with Wildcard Patterns

Certainly, let's delve deeper into the steps involved and provide more context:

def generate_postgres_query(array_list):
    try:
        # Step 1: Construct patterns with wildcard characters
        patterns = ['%' + item + '%' for item in array_list]

        # Step 2: Combine patterns with "|" to create a regex pattern
        regex_pattern = '|'.join(patterns)

        # Step 3: Enclose the regex pattern in parentheses
        regex_pattern = f'({regex_pattern})'

        # Step 4: Formulate the PostgreSQL query
        postgres_query = f"SELECT * FROM table1 WHERE name SIMILAR TO '{regex_pattern}'"

        return postgres_query
    except Exception as e:
        return f"Error occurred: {str(e)}"


# Example usage:
input_array = ["quantic_aur_line", "aqua_line", "another_line"]
postgres_query = generate_postgres_query(input_array)
print("PostgreSQL Query:", postgres_query)

In this extended version, each step of the process is outlined with comments for clarity. The function generate_postgres_query now includes error handling within a try-except block to catch any exceptions that may occur during execution.

The example usage demonstrates how to call the function with an example array list and prints out the resulting PostgreSQL query.

This expanded explanation provides a deeper understanding of the code's functionality and encourages better comprehension and customization. Let me know if you need further elaboration or assistance!