-import tables
-import sqlparse
from collections import OrderedDict
+import sqlparse
+import tables
_connector_type = 'pytables'
parsed_sql[current_keyword] += str(token)
return parsed_sql
+_operators = {
+ '=': '==',
+}
+
+def _translate_condition(table, condition, params):
+ field = condition.left.get_real_name()
+
+ operator = list(filter(lambda t: t.ttype == sqlparse.tokens.Comparison, condition.tokens))[0]
+ if operator.value in _operators:
+ operator = _operators[operator.value]
+ else:
+ operator = operator.value
+
+ value = condition.right.value
+ if value.startswith(':'):
+ # Value is a parameters
+ value = value[1:]
+ if value in params:
+ # Cast value to the column type
+ coltype = table.coltypes[field]
+ if coltype == 'string':
+ params[value] = str(params[value])
+ elif coltype.startswith('int'):
+ params[value] = int(params[value])
+ elif coltype.startswith('float'):
+ params[value] = float(params[value])
+
+ translated = "{left} {operator} {right}".format(left=field, operator=operator, right=value)
+ return translated, params
+
class Connection:
def __init__(self, path):
self.path = path
self.h5file = tables.open_file(path)
def execute(self, sql, params=None, truncate=False):
+ if params is None:
+ params = {}
rows = []
truncated = False
description = []
# Use 'where' statement or get all the rows
if 'where' in parsed_sql:
- query = ''
+ query = []
start = 0
end = table.nrows
for condition in parsed_sql['where'].get_sublists():
if str(condition) == '"rowid"=:p0':
start = int(params['p0'])
end = start + 1
+ else:
+ translated, params = _translate_condition(table, condition, params)
+ query.append(translated)
if query:
- table_rows = table.where(query, start, end)
+ query = ') & ('.join(query)
+ query = '(' + query + ')'
+ table_rows = table.where(query, params, start, end)
else:
table_rows = table.iterrows(start, end)
else:
else:
description.append((field,))
+ # Return the rows
if truncate:
return rows, truncated, tuple(description)
else: