projectEli/Database/items/createTables.py

import sqlite3
import os
import csv


def get_data_type(value):
    try:
        int(value)
        return "INTEGER"
    except ValueError:
        try:
            float(value)
            return "REAL"
        except ValueError:
            return "TEXT"


# Connect to the SQLite database and delete existing tables
conn = sqlite3.connect("database.db")
cursor = conn.cursor()

# Get a list of CSV files in the "data" directory
data_dir = "data"  # Change this to your data directory path
csv_files = [f for f in os.listdir(data_dir) if f.endswith(".csv")]

# Drop all existing tables except for sqlite_sequence
cursor.execute("PRAGMA foreign_keys = OFF;")
cursor.execute(
    "SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_sequence';"
)
existing_tables = cursor.fetchall()
for table in existing_tables:
    cursor.execute(f"DROP TABLE IF EXISTS {table[0]};")

# Commit the changes to delete existing tables
conn.commit()

# Iterate through CSV files and create new tables
for csv_file in csv_files:
    table_name = os.path.splitext(csv_file)[0]

    # Read the first row of the CSV file to determine the column names
    with open(os.path.join(data_dir, csv_file), newline="") as csvfile:
        csv_reader = csv.reader(csvfile)
        header = next(csv_reader)

    # Read the second row to determine data types
    with open(os.path.join(data_dir, csv_file), newline="") as csvfile:
        csv_reader = csv.reader(csvfile)
        next(csv_reader)  # Skip the header row
        data_row = next(csv_reader)
        data_types = [get_data_type(value) for value in data_row]

    # Add a primary key column if needed (replace 'unique_id' with your unique identifier column name)
    if "unique_id" in header:
        header[header.index("unique_id")] += " PRIMARY KEY"

    # Generate the CREATE TABLE statement dynamically based on the column names and data types
    create_table_sql = f"CREATE TABLE IF NOT EXISTS {table_name} (\n"
    for column_name, data_type in zip(header, data_types):
        create_table_sql += f"    {column_name} {data_type},\n"
    create_table_sql = create_table_sql.rstrip(",\n") + "\n);"

    # Execute the CREATE TABLE statement
    cursor.execute(create_table_sql)

    # Read and insert data from the CSV file into the table
    with open(os.path.join(data_dir, csv_file), newline="") as csvfile:
        csv_reader = csv.reader(csvfile)
        next(csv_reader)  # Skip the header row
        for row in csv_reader:
            placeholders = ",".join(["?"] * len(row))
            insert_sql = f"INSERT INTO {table_name} VALUES ({placeholders});"
            cursor.execute(insert_sql, row)

# Commit the changes and close the connection
conn.commit()
conn.close()