File size: 6,973 Bytes
778d47d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 | 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)
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:
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)
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))
from sql_metadata import Parser
import re
def normalization(sql):
def white_space_fix(s):
parsed_s = Parser(s)
s = " ".join([token.value for token in parsed_s.tokens])
return s
# convert everything except text between single quotation marks to lower case
def lower(s):
in_quotation = False
out_s = ""
for char in s:
if in_quotation:
out_s += char
else:
out_s += char.lower()
if char == "'":
if in_quotation:
in_quotation = False
else:
in_quotation = True
return out_s
# remove ";"
def remove_semicolon(s):
if s.endswith(";"):
s = s[:-1]
return s
# double quotation -> single quotation
def double2single(s):
return s.replace("\"", "'")
def add_asc(s):
pattern = re.compile(
r'order by (?:\w+ \( \S+ \)|\w+\.\w+|\w+)(?: (?:\+|\-|\<|\<\=|\>|\>\=) (?:\w+ \( \S+ \)|\w+\.\w+|\w+))*')
if "order by" in s and "asc" not in s and "desc" not in s:
for p_str in pattern.findall(s):
s = s.replace(p_str, p_str + " asc")
return s
def remove_table_alias(s):
tables_aliases = Parser(s).tables_aliases
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():
s = s.replace("as " + k + " ", "")
s = s.replace(k, v)
return s
processing_func = lambda x: remove_table_alias(add_asc(lower(white_space_fix(double2single(remove_semicolon(x))))))
return processing_func(sql)
def norm_sql_query(true_sql, schema):
try:
norm_sql = normalization(true_sql).strip()
except Exception as err:
print("Error sql: ", true_sql)
print(err)
return true_sql
sql_tokens = norm_sql.split()
for table in schema['schema_items']:
if table['table_name'] in sql_tokens: # for used tables
columns = table['column_names']
table_name = table['table_name']
if " " in table_name:
true_sql = re.sub(rf"(?<=[ \.]){table_name}(?=[ ,\.])", f"`{table_name}`", true_sql)
for column_name in columns:
if column_name.lower() in sql_tokens or table_name.lower() + "." + column_name.lower() in sql_tokens:
# use regex, if column_name_original is wrapped by spaces then replace it with `column_name_original`
if column_name in true_sql:
true_sql = re.sub(rf"(?<=[ \.]){column_name}(?=[ ,])", f"`{column_name}`", true_sql)
elif column_name.lower() in true_sql:
true_sql = re.sub(rf"(?<=[ \.]){column_name.lower()}(?=[ ,])", f"`{column_name}`", true_sql)
return true_sql
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