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process_sql.py
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################################
# Assumptions:
# 1. sql is correct
# 2. only table name has alias
# 3. only one intersect/union/except
#
# val: number(float)/string(str)/sql(dict)
# col_unit: (agg_id, col_id, isDistinct(bool))
# val_unit: (unit_op, col_unit1, col_unit2)
# table_unit: (table_type, col_unit/sql)
# cond_unit: (not_op, op_id, val_unit, val1, val2)
# condition: [cond_unit1, 'and'/'or', cond_unit2, ...]
# sql {
# 'select': (isDistinct(bool), [(agg_id, val_unit), (agg_id, val_unit), ...])
# 'from': {'table_units': [table_unit1, table_unit2, ...], 'conds': condition}
# 'where': condition
# 'groupBy': [col_unit1, col_unit2, ...]
# 'orderBy': ('asc'/'desc', [val_unit1, val_unit2, ...])
# 'having': condition
# 'limit': None/limit value
# 'intersect': None/sql
# 'except': None/sql
# 'union': None/sql
# }
################################
import json
import sqlite3
from nltk import word_tokenize
CLAUSE_KEYWORDS = (
"select",
"from",
"where",
"group",
"order",
"limit",
"intersect",
"union",
"except",
)
JOIN_KEYWORDS = ("join", "on", "as")
WHERE_OPS = (
"not",
"between",
"=",
">",
"<",
">=",
"<=",
"!=",
"in",
"like",
"is",
"exists",
)
UNIT_OPS = ("none", "-", "+", "*", "/")
AGG_OPS = ("none", "max", "min", "count", "sum", "avg")
TABLE_TYPE = {
"sql": "sql",
"table_unit": "table_unit",
}
COND_OPS = ("and", "or")
SQL_OPS = ("intersect", "union", "except")
ORDER_OPS = ("desc", "asc")
class Schema:
"""
Simple schema which maps table&column to a unique identifier
"""
def __init__(self, schema):
self._schema = schema
self._idMap = self._map(self._schema)
@property
def schema(self):
return self._schema
@property
def idMap(self):
return self._idMap
def _map(self, schema):
idMap = {"*": "__all__"}
id = 1
for key, vals in schema.items():
for val in vals:
idMap[key.lower() + "." + val.lower()] = (
"__" + key.lower() + "." + val.lower() + "__"
)
id += 1
for key in schema:
idMap[key.lower()] = "__" + key.lower() + "__"
id += 1
return idMap
def get_schema(db):
"""
Get database's schema, which is a dict with table name as key
and list of column names as value
:param db: database path
:return: schema dict
"""
schema = {}
conn = sqlite3.connect(db)
cursor = conn.cursor()
# fetch table names
cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
tables = [str(table[0].lower()) for table in cursor.fetchall()]
# fetch table info
for table in tables:
cursor.execute("PRAGMA table_info({})".format(table))
schema[table] = [str(col[1].lower()) for col in cursor.fetchall()]
return schema
def get_schema_from_json(fpath):
with open(fpath) as f:
data = json.load(f)
schema = {}
for entry in data:
table = str(entry["table"].lower())
cols = [str(col["column_name"].lower()) for col in entry["col_data"]]
schema[table] = cols
return schema
def tokenize(string):
string = str(string)
string = string.replace(
"'", '"'
) # ensures all string values wrapped by "" problem??
quote_idxs = [idx for idx, char in enumerate(string) if char == '"']
assert len(quote_idxs) % 2 == 0, "Unexpected quote"
# keep string value as token
vals = {}
for i in range(len(quote_idxs) - 1, -1, -2):
qidx1 = quote_idxs[i - 1]
qidx2 = quote_idxs[i]
val = string[qidx1 : qidx2 + 1]
key = "__val_{}_{}__".format(qidx1, qidx2)
string = string[:qidx1] + key + string[qidx2 + 1 :]
vals[key] = val
toks = [word.lower() for word in word_tokenize(string)]
# replace with string value token
for i in range(len(toks)):
if toks[i] in vals:
toks[i] = vals[toks[i]]
# find if there exists !=, >=, <=
eq_idxs = [idx for idx, tok in enumerate(toks) if tok == "="]
eq_idxs.reverse()
prefix = ("!", ">", "<")
for eq_idx in eq_idxs:
pre_tok = toks[eq_idx - 1]
if pre_tok in prefix:
toks = toks[: eq_idx - 1] + [pre_tok + "="] + toks[eq_idx + 1 :]
return toks
def scan_alias(toks):
"""Scan the index of 'as' and build the map for all alias"""
as_idxs = [idx for idx, tok in enumerate(toks) if tok == "as"]
alias = {}
for idx in as_idxs:
alias[toks[idx + 1]] = toks[idx - 1]
return alias
def get_tables_with_alias(schema, toks):
tables = scan_alias(toks)
for key in schema:
assert key not in tables, "Alias {} has the same name in table".format(key)
tables[key] = key
return tables
def parse_col(toks, start_idx, tables_with_alias, schema, default_tables=None):
"""
:returns next idx, column id
"""
tok = toks[start_idx]
if tok == "*":
return start_idx + 1, schema.idMap[tok]
if "." in tok: # if token is a composite
alias, col = tok.split(".")
key = tables_with_alias[alias] + "." + col
return start_idx + 1, schema.idMap[key]
assert (
default_tables is not None and len(default_tables) > 0
), "Default tables should not be None or empty"
for alias in default_tables:
table = tables_with_alias[alias]
if tok in schema.schema[table]:
key = table + "." + tok
return start_idx + 1, schema.idMap[key]
assert False, "Error col: {}".format(tok)
def parse_col_unit(toks, start_idx, tables_with_alias, schema, default_tables=None):
"""
:returns next idx, (agg_op id, col_id)
"""
idx = start_idx
len_ = len(toks)
isBlock = False
isDistinct = False
if toks[idx] == "(":
isBlock = True
idx += 1
if toks[idx] in AGG_OPS:
agg_id = AGG_OPS.index(toks[idx])
idx += 1
assert idx < len_ and toks[idx] == "("
idx += 1
if toks[idx] == "distinct":
idx += 1
isDistinct = True
idx, col_id = parse_col(toks, idx, tables_with_alias, schema, default_tables)
assert idx < len_ and toks[idx] == ")"
idx += 1
return idx, (agg_id, col_id, isDistinct)
if toks[idx] == "distinct":
idx += 1
isDistinct = True
agg_id = AGG_OPS.index("none")
idx, col_id = parse_col(toks, idx, tables_with_alias, schema, default_tables)
if isBlock:
assert toks[idx] == ")"
idx += 1 # skip ')'
return idx, (agg_id, col_id, isDistinct)
def parse_val_unit(toks, start_idx, tables_with_alias, schema, default_tables=None):
idx = start_idx
len_ = len(toks)
isBlock = False
if toks[idx] == "(":
isBlock = True
idx += 1
col_unit1 = None
col_unit2 = None
unit_op = UNIT_OPS.index("none")
idx, col_unit1 = parse_col_unit(
toks, idx, tables_with_alias, schema, default_tables
)
if idx < len_ and toks[idx] in UNIT_OPS:
unit_op = UNIT_OPS.index(toks[idx])
idx += 1
idx, col_unit2 = parse_col_unit(
toks, idx, tables_with_alias, schema, default_tables
)
if isBlock:
assert toks[idx] == ")"
idx += 1 # skip ')'
return idx, (unit_op, col_unit1, col_unit2)
def parse_table_unit(toks, start_idx, tables_with_alias, schema):
"""
:returns next idx, table id, table name
"""
idx = start_idx
len_ = len(toks)
key = tables_with_alias[toks[idx]]
if idx + 1 < len_ and toks[idx + 1] == "as":
idx += 3
else:
idx += 1
return idx, schema.idMap[key], key
def parse_value(toks, start_idx, tables_with_alias, schema, default_tables=None):
idx = start_idx
len_ = len(toks)
isBlock = False
if toks[idx] == "(":
isBlock = True
idx += 1
if toks[idx] == "select":
idx, val = parse_sql(toks, idx, tables_with_alias, schema)
elif '"' in toks[idx]: # token is a string value
val = toks[idx]
idx += 1
else:
try:
val = float(toks[idx])
idx += 1
except:
end_idx = idx
while (
end_idx < len_
and toks[end_idx] != ","
and toks[end_idx] != ")"
and toks[end_idx] != "and"
and toks[end_idx] not in CLAUSE_KEYWORDS
and toks[end_idx] not in JOIN_KEYWORDS
):
end_idx += 1
idx, val = parse_col_unit(
toks[start_idx:end_idx], 0, tables_with_alias, schema, default_tables
)
idx = end_idx
if isBlock:
assert toks[idx] == ")"
idx += 1
return idx, val
def parse_condition(toks, start_idx, tables_with_alias, schema, default_tables=None):
idx = start_idx
len_ = len(toks)
conds = []
while idx < len_:
idx, val_unit = parse_val_unit(
toks, idx, tables_with_alias, schema, default_tables
)
not_op = False
if toks[idx] == "not":
not_op = True
idx += 1
assert (
idx < len_ and toks[idx] in WHERE_OPS
), "Error condition: idx: {}, tok: {}".format(idx, toks[idx])
op_id = WHERE_OPS.index(toks[idx])
idx += 1
val1 = val2 = None
if op_id == WHERE_OPS.index(
"between"
): # between..and... special case: dual values
idx, val1 = parse_value(
toks, idx, tables_with_alias, schema, default_tables
)
assert toks[idx] == "and"
idx += 1
idx, val2 = parse_value(
toks, idx, tables_with_alias, schema, default_tables
)
else: # normal case: single value
idx, val1 = parse_value(
toks, idx, tables_with_alias, schema, default_tables
)
val2 = None
conds.append((not_op, op_id, val_unit, val1, val2))
if idx < len_ and (
toks[idx] in CLAUSE_KEYWORDS
or toks[idx] in (")", ";")
or toks[idx] in JOIN_KEYWORDS
):
break
if idx < len_ and toks[idx] in COND_OPS:
conds.append(toks[idx])
idx += 1 # skip and/or
return idx, conds
def parse_select(toks, start_idx, tables_with_alias, schema, default_tables=None):
idx = start_idx
len_ = len(toks)
assert toks[idx] == "select", "'select' not found"
idx += 1
isDistinct = False
if idx < len_ and toks[idx] == "distinct":
idx += 1
isDistinct = True
val_units = []
while idx < len_ and toks[idx] not in CLAUSE_KEYWORDS:
agg_id = AGG_OPS.index("none")
if toks[idx] in AGG_OPS:
agg_id = AGG_OPS.index(toks[idx])
idx += 1
idx, val_unit = parse_val_unit(
toks, idx, tables_with_alias, schema, default_tables
)
val_units.append((agg_id, val_unit))
if idx < len_ and toks[idx] == ",":
idx += 1 # skip ','
return idx, (isDistinct, val_units)
def parse_from(toks, start_idx, tables_with_alias, schema):
"""
Assume in the from clause, all table units are combined with join
"""
assert "from" in toks[start_idx:], "'from' not found"
len_ = len(toks)
idx = toks.index("from", start_idx) + 1
default_tables = []
table_units = []
conds = []
while idx < len_:
isBlock = False
if toks[idx] == "(":
isBlock = True
idx += 1
if toks[idx] == "select":
idx, sql = parse_sql(toks, idx, tables_with_alias, schema)
table_units.append((TABLE_TYPE["sql"], sql))
else:
if idx < len_ and toks[idx] == "join":
idx += 1 # skip join
idx, table_unit, table_name = parse_table_unit(
toks, idx, tables_with_alias, schema
)
table_units.append((TABLE_TYPE["table_unit"], table_unit))
default_tables.append(table_name)
if idx < len_ and toks[idx] == "on":
idx += 1 # skip on
idx, this_conds = parse_condition(
toks, idx, tables_with_alias, schema, default_tables
)
if len(conds) > 0:
conds.append("and")
conds.extend(this_conds)
if isBlock:
assert toks[idx] == ")"
idx += 1
if idx < len_ and (toks[idx] in CLAUSE_KEYWORDS or toks[idx] in (")", ";")):
break
return idx, table_units, conds, default_tables
def parse_where(toks, start_idx, tables_with_alias, schema, default_tables):
idx = start_idx
len_ = len(toks)
if idx >= len_ or toks[idx] != "where":
return idx, []
idx += 1
idx, conds = parse_condition(toks, idx, tables_with_alias, schema, default_tables)
return idx, conds
def parse_group_by(toks, start_idx, tables_with_alias, schema, default_tables):
idx = start_idx
len_ = len(toks)
col_units = []
if idx >= len_ or toks[idx] != "group":
return idx, col_units
idx += 1
assert toks[idx] == "by"
idx += 1
while idx < len_ and not (toks[idx] in CLAUSE_KEYWORDS or toks[idx] in (")", ";")):
idx, col_unit = parse_col_unit(
toks, idx, tables_with_alias, schema, default_tables
)
col_units.append(col_unit)
if idx < len_ and toks[idx] == ",":
idx += 1 # skip ','
else:
break
return idx, col_units
def parse_order_by(toks, start_idx, tables_with_alias, schema, default_tables):
idx = start_idx
len_ = len(toks)
val_units = []
order_type = "asc" # default type is 'asc'
if idx >= len_ or toks[idx] != "order":
return idx, val_units
idx += 1
assert toks[idx] == "by"
idx += 1
while idx < len_ and not (toks[idx] in CLAUSE_KEYWORDS or toks[idx] in (")", ";")):
idx, val_unit = parse_val_unit(
toks, idx, tables_with_alias, schema, default_tables
)
val_units.append(val_unit)
if idx < len_ and toks[idx] in ORDER_OPS:
order_type = toks[idx]
idx += 1
if idx < len_ and toks[idx] == ",":
idx += 1 # skip ','
else:
break
return idx, (order_type, val_units)
def parse_having(toks, start_idx, tables_with_alias, schema, default_tables):
idx = start_idx
len_ = len(toks)
if idx >= len_ or toks[idx] != "having":
return idx, []
idx += 1
idx, conds = parse_condition(toks, idx, tables_with_alias, schema, default_tables)
return idx, conds
def parse_limit(toks, start_idx):
idx = start_idx
len_ = len(toks)
if idx < len_ and toks[idx] == "limit":
idx += 2
# make limit value can work, cannot assume put 1 as a fake limit number
if type(toks[idx - 1]) != int:
return idx, 1
return idx, int(toks[idx - 1])
return idx, None
def parse_sql(toks, start_idx, tables_with_alias, schema):
isBlock = False # indicate whether this is a block of sql/sub-sql
len_ = len(toks)
idx = start_idx
sql = {}
if toks[idx] == "(":
isBlock = True
idx += 1
# parse from clause in order to get default tables
from_end_idx, table_units, conds, default_tables = parse_from(
toks, start_idx, tables_with_alias, schema
)
sql["from"] = {"table_units": table_units, "conds": conds}
# select clause
_, select_col_units = parse_select(
toks, idx, tables_with_alias, schema, default_tables
)
idx = from_end_idx
sql["select"] = select_col_units
# where clause
idx, where_conds = parse_where(toks, idx, tables_with_alias, schema, default_tables)
sql["where"] = where_conds
# group by clause
idx, group_col_units = parse_group_by(
toks, idx, tables_with_alias, schema, default_tables
)
sql["groupBy"] = group_col_units
# having clause
idx, having_conds = parse_having(
toks, idx, tables_with_alias, schema, default_tables
)
sql["having"] = having_conds
# order by clause
idx, order_col_units = parse_order_by(
toks, idx, tables_with_alias, schema, default_tables
)
sql["orderBy"] = order_col_units
# limit clause
idx, limit_val = parse_limit(toks, idx)
sql["limit"] = limit_val
idx = skip_semicolon(toks, idx)
if isBlock:
assert toks[idx] == ")"
idx += 1 # skip ')'
idx = skip_semicolon(toks, idx)
# intersect/union/except clause
for op in SQL_OPS: # initialize IUE
sql[op] = None
if idx < len_ and toks[idx] in SQL_OPS:
sql_op = toks[idx]
idx += 1
idx, IUE_sql = parse_sql(toks, idx, tables_with_alias, schema)
sql[sql_op] = IUE_sql
return idx, sql
def load_data(fpath):
with open(fpath) as f:
data = json.load(f)
return data
def get_sql(schema, query):
toks = tokenize(query)
tables_with_alias = get_tables_with_alias(schema.schema, toks)
_, sql = parse_sql(toks, 0, tables_with_alias, schema)
return sql
def skip_semicolon(toks, start_idx):
idx = start_idx
while idx < len(toks) and toks[idx] == ";":
idx += 1
return idx