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import sqlite3
import pandas as pd

# Define database file
db_file = "your_database.db"

# Define CSV file paths
attr_csv = "attr_data.csv"
logic_csv = "logic_data.csv"

# Connect to SQLite database
conn = sqlite3.connect(db_file)
cursor = conn.cursor()

# Function to count rows in a table
def count_rows_in_table(table_name, conn):
    cursor = conn.cursor()
    cursor.execute(f"SELECT COUNT(*) FROM {table_name}")
    return cursor.fetchone()[0]

# Function to count rows in a CSV file
def count_rows_in_csv(csv_file):
    df = pd.read_csv(csv_file)
    return len(df)

# Function to insert CSV into a table
def insert_csv_to_table(csv_file, table_name, conn):
    df = pd.read_csv(csv_file)  # Load CSV into a DataFrame
    df.to_sql(table_name, conn, if_exists='append', index=False)  # Insert into table

# Process both tables
for table, csv_file in [("Attr", attr_csv), ("Logic", logic_csv)]:
    # Count before appending
    db_rows_before = count_rows_in_table(table, conn)
    csv_rows = count_rows_in_csv(csv_file)

    print(f"Table: {table}")
    print(f" - Rows in DB before appending: {db_rows_before}")
    print(f" - Rows in CSV file: {csv_rows}")

    # Insert CSV data into the table
    insert_csv_to_table(csv_file, table, conn)

    # Count after appending
    db_rows_after = count_rows_in_table(table, conn)
    print(f" - Rows in DB after appending: {db_rows_after}\n")

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