-import tables
-import sqlparse
from collections import OrderedDict
+import sqlparse
+import tables
_connector_type = 'pytables'
else:
current_keyword = str(token)
parsed_sql[current_keyword] = ""
+ elif type(token) is sqlparse.sql.Where:
+ parsed_sql['where'] = token
else:
if not token.is_whitespace:
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:
- pass
+ 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:
+ query = ') & ('.join(query)
+ query = '(' + query + ')'
+ table_rows = table.where(query, params, start, end)
+ else:
+ table_rows = table.iterrows(start, end)
else:
table_rows = table.iterrows()
+ # Prepare rows
if len(fields) == 1 and fields[0] == 'count(*)':
- rows.append(Row({'count(*)': table.nrows}))
+ rows.append(Row({fields[0]: table.nrows}))
else:
for table_row in table_rows:
row = Row()
row[field] = table_row.nrow
elif field == '*':
for col in table.colnames:
- row[col] = table_row[col]
+ value = table_row[col]
+ if type(value) is bytes:
+ value = value.decode('utf-8')
+ row[col] = value
else:
row[field] = table_row[field]
rows.append(row)
- description = ((col,) for col in table.colnames)
+ # Prepare query description
+ for field in fields:
+ if field == '*':
+ for col in table.colnames:
+ description.append((col,))
+ else:
+ description.append((field,))
+ # Return the rows
if truncate:
- return rows, truncated, description
+ return rows, truncated, tuple(description)
else:
return rows
def __getitem__(self, label):
if type(label) is int:
return super(OrderedDict, self).__getitem__(list(self.keys())[label])
+ else:
+ return super(OrderedDict, self).__getitem__(label)
+
+ def __iter__(self):
+ return self.values().__iter__()