import spark

from src.Helper_Function.sigma_dq_generate_dq_report import sigma_dq_generate_dq_report


def sigma_dq_check_isAlphabet(target_column,target_table,Execution_Type='',meta={}):
    column = target_column
    dq_rule = 'isAlphabet'

    if(Execution_Type == 'Incremental'):
      StrSQl = "select "+target_column+", CASE WHEN " +target_column+" REGEXP '^[a-zA-Z]+$' THEN 'PASS' ELSE 'FAIL' END as DQ_Status from " +target_table + "                     WHERE dqAction = 'NA'"  
    else:
      StrSQl = "select "+target_column+", CASE WHEN " +target_column+" REGEXP '^[a-zA-Z]+$' THEN 'PASS' ELSE 'FAIL' END as DQ_Status from " +target_table + " " 
    
    dq_apply_column_data = spark.sql(StrSQl)
    
    dq_report = sigma_dq_generate_dq_report(dq_apply_column_data,column,dq_rule)
  
    return dq_report
