from sql_metadata import Parser import re import os import sqlparse def remove_table_alias(s): try: tables_aliases = Parser(s).tables_aliases except Exception as e: return s new_tables_aliases = {} for i in range(1,11): if "t{}".format(i) in tables_aliases.keys(): new_tables_aliases["t{}".format(i)] = tables_aliases["t{}".format(i)] tables_aliases = new_tables_aliases for k, v in tables_aliases.items(): # remove AS clauses s = s.replace("AS " + k + " ", "") # replace table alias with thier original names s = s.replace(k, v) return s def extract_select_clause(sql_query): # Define a regex pattern to match the SELECT clause up to the FROM keyword pattern = re.compile(r"SELECT\s.*?\s(?=FROM)", re.IGNORECASE | re.DOTALL) # Search for the pattern in the SQL query match = pattern.search(sql_query) if match: # Return the matched portion (SELECT clause) return match.group(0).strip() else: # Return None if no match is found return None def get_table_columns_list(schema): columns = [] for table_data in schema['schema_items']: table_name = table_data['table_name'].lower() column_names = table_data['column_names'] column_names = [x.lower() for x in column_names] for column in column_names: columns.append(f"{table_name}.{column}") columns.append(f"{table_name}.`{column}`") columns.append(column) columns = list(set(columns)) return columns def get_columns_in_select_clause(sql_query, schema): column_list = get_table_columns_list(schema) select_clause = extract_select_clause(sql_query) if select_clause is None: return [] select_clause = remove_table_alias(sqlparse.format(select_clause, keyword_case = "upper", identifier_case = "lower")) try: sql_tokens = [token.value for token in Parser(select_clause.lower()).tokens] except Exception as e: print(e) sql_tokens = sql_query.lower().split() select_columns = [] for token in sql_tokens: if token in column_list: select_columns.append(token) return select_columns def get_equation_function_in_select_clause(sql_query): """ equation function includes min, max, avg, sum, count, divide, +, /, case when """ select_clause = extract_select_clause(sql_query) if select_clause is None: return [] norm_select_clause = remove_table_alias(sqlparse.format(select_clause, keyword_case = "upper", identifier_case = "lower")) try: sql_tokens = [token.value for token in Parser(norm_select_clause.lower()).tokens] except Exception as e: sql_tokens = norm_select_clause.lower().split() equation_functions = [] for token in sql_tokens: if token in ["min", "max", "avg", "sum", "count", "divide", "+", "/", "case", "when"]: equation_functions.append(token) return equation_functions def remove_tables_from_columns(columns): new_columns = [] for col in columns: new_columns.append(col.split('.')[-1]) return new_columns def check_columns_match(true_columns, pred_columns): true_columns = remove_tables_from_columns(true_columns) pred_columns = remove_tables_from_columns(pred_columns) # classify error types, unnecessary columns, missing columns, wrong order, return a string of error type if true_columns == pred_columns: return 'correct' else: if set(true_columns) == set(pred_columns): return 'incorrect: wrong order' elif set(true_columns) - set(pred_columns): return 'incorrect: missing columns ' + str(set(true_columns) - set(pred_columns)) elif set(pred_columns) - set(true_columns): return 'incorrect: unnecessary columns ' + str(set(pred_columns) - set(true_columns))