import tables
+import datasette_connectors as dc
+from .utils import parse_sql
-def inspect(path):
- "Open file and return tables info"
- h5tables = {}
- views = []
- h5file = tables.open_file(path)
- for table in filter(lambda node: not(isinstance(node, tables.group.Group)), h5file):
- colnames = []
+class PyTablesConnection(dc.Connection):
+ def __init__(self, path, connector):
+ super().__init__(path, connector)
+ self.h5file = tables.open_file(path)
+
+
+class PyTablesConnector(dc.Connector):
+ connector_type = 'pytables'
+ connection_class = PyTablesConnection
+
+ operators = {
+ 'eq': '==',
+ 'neq': '!=',
+ 'gt': '>',
+ 'gte': '>=',
+ 'lt': '<',
+ 'lte': '<=',
+ 'and': '&',
+ 'or': '|',
+ 'binary_and': '&',
+ 'binary_or': '|',
+ }
+
+ def _serialize_table_name(self, table_name):
+ return table_name.replace('/', '%')
+
+ def _deserialize_table_name(self, table_name):
+ return table_name.replace('%', '/')
+
+ def table_names(self):
+ return [
+ self._serialize_table_name(node._v_pathname)
+ for node in self.conn.h5file
+ if not(isinstance(node, tables.group.Group))
+ ]
+
+ def table_count(self, table_name):
+ table = self.conn.h5file.get_node(self._deserialize_table_name(table_name))
+ return int(table.nrows)
+
+ def table_info(self, table_name):
+ table = self.conn.h5file.get_node(self._deserialize_table_name(table_name))
+ columns = [
+ {
+ 'name': 'value',
+ 'type': table.dtype.name,
+ }
+ ]
+ if isinstance(table, tables.table.Table):
+ columns = [
+ {
+ 'name': colname,
+ 'type': table.coltypes[colname],
+ }
+ for colname in table.colnames
+ ]
+
+ return [
+ {
+ 'cid': cid,
+ 'name': column['name'],
+ 'type': column['type'],
+ 'notnull': True,
+ 'default_value': None,
+ 'is_pk': False,
+ }
+ for cid, column in enumerate(columns)
+ ]
+
+ def hidden_table_names(self):
+ return []
+
+ def detect_spatialite(self):
+ return False
+
+ def view_names(self):
+ return []
+
+ def detect_fts(self, table_name):
+ return False
+
+ def foreign_keys(self, table_name):
+ return []
+
+ def table_exists(self, table_name):
+ try:
+ self.conn.h5file.get_node(self._deserialize_table_name(table_name))
+ return True
+ except:
+ return False
+
+ def table_definition(self, table_type, table_name):
+ table_name = self._deserialize_table_name(table_name)
+ table = self.conn.h5file.get_node(table_name)
+ colnames = ['value']
if isinstance(table, tables.table.Table):
colnames = table.colnames
- h5tables[table._v_pathname] = {
- 'name': table._v_pathname,
- 'columns': colnames,
- 'primary_keys': [],
- 'count': table.nrows,
- 'label_column': None,
- 'hidden': False,
- 'fts_table': None,
- 'foreign_keys': {'incoming': [], 'outgoing': []},
- }
-
- h5file.close()
- return h5tables, views
+ return 'CREATE TABLE {} ({})'.format(
+ table_name,
+ ', '.join(colnames),
+ )
+
+ def indices_definition(self, table_name):
+ return []
+
+ def execute(
+ self,
+ sql,
+ params=None,
+ truncate=False,
+ custom_time_limit=None,
+ page_size=None,
+ log_sql_errors=True,
+ ):
+ results = []
+ truncated = False
+ description = ()
+
+ # Some Datasette queries uses glob operand, not supported by Pytables
+ if ' glob ' in sql:
+ return results, truncated, description
+
+ parsed_sql = parse_sql(sql, params)
+
+ while isinstance(parsed_sql['from'], dict):
+ # Pytables does not support subqueries
+ parsed_sql['from'] = parsed_sql['from']['value']['from']
+
+ table = self.conn.h5file.get_node(self._deserialize_table_name(parsed_sql['from']))
+ table_rows = []
+ fields = parsed_sql['select']
+ colnames = ['value']
+ if type(table) is tables.table.Table:
+ colnames = table.colnames
+
+ query = ''
+ start = 0
+ end = table.nrows
+
+ def _get_field_type(field):
+ coltype = table.dtype.name
+ if type(table) is tables.table.Table:
+ coltype = table.coltypes[field]
+ return coltype
+
+ # Use 'where' statement or get all the rows
+ def _cast_param(field, pname):
+ # Cast value to the column type
+ coltype = _get_field_type(field)
+ fcast = None
+ if coltype == 'string':
+ fcast = str
+ elif coltype.startswith('int'):
+ fcast = int
+ elif coltype.startswith('float'):
+ fcast = float
+ if fcast:
+ params[pname] = fcast(params[pname])
+
+ def _translate_where(where):
+ # Translate SQL to PyTables expression
+ nonlocal start, end
+ expr = ''
+ operator = list(where)[0]
+
+ if operator in ['and', 'or']:
+ subexpr = [_translate_where(e) for e in where[operator]]
+ subexpr = filter(lambda e: e, subexpr)
+ subexpr = ["({})".format(e) for e in subexpr]
+ expr = " {} ".format(self.operators[operator]).join(subexpr)
+ elif operator == 'exists':
+ pass
+ elif where == {'eq': ['rowid', 'p0']}:
+ start = int(params['p0'])
+ end = start + 1
+ elif where == {'gt': ['rowid', 'p0']}:
+ start = int(params['p0']) + 1
+ else:
+ left, right = where[operator]
+
+ if isinstance(left, dict):
+ left = "(" + _translate_where(left) + ")"
+ elif left in params:
+ _cast_param(right, left)
+
+ if isinstance(right, dict):
+ right = "(" + _translate_where(right) + ")"
+ elif right in params:
+ _cast_param(left, right)
+
+ expr = "{left} {operator} {right}".format(
+ left=left,
+ operator=self.operators.get(operator, operator),
+ right=right,
+ )
+
+ return expr
+
+ if 'where' in parsed_sql:
+ if type(parsed_sql['where']) is dict:
+ query = _translate_where(parsed_sql['where'])
+ else:
+ query = parsed_sql['where']
+
+ # Sort by column
+ orderby = ''
+ if 'orderby' in parsed_sql:
+ orderby = parsed_sql['orderby']
+ if type(orderby) is list:
+ orderby = orderby[0]
+ orderby = orderby['value']
+ if orderby == 'rowid':
+ orderby = ''
+
+ # Limit number of rows
+ limit = None
+ if 'limit' in parsed_sql:
+ limit = int(parsed_sql['limit'])
+
+ # Offset
+ offset = None
+ if 'offset' in parsed_sql:
+ offset = int(parsed_sql['offset'])
+
+ # Truncate if needed
+ if page_size and max_returned_rows and truncate:
+ if max_returned_rows == page_size:
+ max_returned_rows += 1
+
+ # Execute query
+ if query:
+ table_rows = table.where(query, params, start, end)
+ elif orderby:
+ table_rows = table.itersorted(orderby, start=start, stop=end)
+ else:
+ table_rows = table.iterrows(start, end)
+
+ # Prepare rows
+ def normalize_field_value(value):
+ if type(value) is bytes:
+ return value.decode('utf-8')
+ elif not type(value) in (int, float, complex):
+ return str(value)
+ else:
+ return value
+
+ def make_get_rowid():
+ if type(table) is tables.table.Table:
+ def get_rowid(row):
+ return int(row.nrow)
+ else:
+ rowid = start - 1
+ def get_rowid(row):
+ nonlocal rowid
+ rowid += 1
+ return rowid
+ return get_rowid
+
+ def make_get_row_value():
+ if type(table) is tables.table.Table:
+ def get_row_value(row, field):
+ return row[field]
+ else:
+ def get_row_value(row, field):
+ return row
+ return get_row_value
+
+ # Get results
+ get_rowid = make_get_rowid()
+ get_row_value = make_get_row_value()
+ if offset:
+ table_rows = table_rows[offset:]
+ count = 0
+ for table_row in table_rows:
+ count += 1
+ if limit is not None and count > limit:
+ break
+ if truncate and max_returned_rows and count > max_returned_rows:
+ truncated = True
+ break
+ row = {}
+ for field in fields:
+ field_name = field
+ if isinstance(field, dict):
+ field_name = field['value']
+ if isinstance(field_name, dict) and 'distinct' in field_name:
+ field_name = field_name['distinct']
+ if field_name == 'rowid':
+ row['rowid'] = get_rowid(table_row)
+ elif field_name == '*':
+ for col in colnames:
+ row[col] = normalize_field_value(get_row_value(table_row, col))
+ elif isinstance(field_name, dict):
+ if field_name.get('count') == '*':
+ row['count(*)'] = int(table.nrows)
+ elif field_name.get('json_type'):
+ field_name = field_name.get('json_type')
+ row['json_type(' + field_name + ')'] = _get_field_type(field_name)
+ else:
+ raise Exception("Function not recognized")
+ else:
+ row[field_name] = normalize_field_value(get_row_value(table_row, field_name))
+ results.append(row)
+
+ # Prepare query description
+ for field in [f['value'] if isinstance(f, dict) else f for f in fields]:
+ if field == '*':
+ for col in colnames:
+ description += ((col,),)
+ else:
+ description += ((field,),)
+
+ return results, truncated, description
projects / datasette-pytables.git / blobdiff