from linguistic_checker import LinguisticChecker
import pandas as pd

api_key = '25bda2c39c0f8ca0'
api_secret = 'e0008b9b9727cb8ceea5a132dbe62495'
assistant_id = "66bb09a84673b57506fe7bbd"

checker = LinguisticChecker(api_key, api_secret, assistant_id)

df = pd.read_excel('./data_src/pingcap_pipeline.xlsx')

# Iterate over the DataFrame
for index, row in df.iterrows():
    try:
        # Assuming 'CRM Field' and 'User Input' are column names in the Excel file
        # Adjust these names if they're different in your actual file
        crm_field = row['CRM Field']
        user_input = row['User Input']
        
        # Check the input using the LinguisticChecker
        result = checker.check_input(crm_field, user_input)
    except Exception as e:
        print(f"Error processing row {index}: {str(e)}")
        result = None