-from moz_sql_parser import parse
-import re
import tables
+import datasette_connectors as dc
+from .utils import parse_sql
-_connector_type = 'pytables'
-def inspect(path):
- "Open file and return tables info"
- h5tables = {}
- views = []
- h5file = tables.open_file(path)
+class PyTablesConnection(dc.Connection):
+ def __init__(self, path, connector):
+ super().__init__(path, connector)
+ self.h5file = tables.open_file(path)
+
- for table in filter(lambda node: not(isinstance(node, tables.group.Group)), h5file):
+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': int(table.nrows),
- 'label_column': None,
- 'hidden': False,
- 'fts_table': None,
- 'foreign_keys': {'incoming': [], 'outgoing': []},
- }
-
- h5file.close()
- return h5tables, views, _connector_type
-
-def _parse_sql(sql, params):
- # Table name
- sql = re.sub('(?i)from \[(.*)]', 'from "\g<1>"', sql)
- # Params
- for param in params:
- sql = sql.replace(":" + param, param)
-
- try:
- parsed = parse(sql)
- except:
- # Propably it's a PyTables expression
- for token in ['group by', 'order by', 'limit', '']:
- res = re.search('(?i)where (.*)' + token, sql)
- if res:
- modified_sql = re.sub('(?i)where (.*)(' + token + ')', '\g<2>', sql)
- parsed = parse(modified_sql)
- parsed['where'] = res.group(1).strip()
- break
-
- # Always a list of fields
- if type(parsed['select']) is not list:
- parsed['select'] = [parsed['select']]
-
- return parsed
-
-_operators = {
- 'eq': '==',
- 'neq': '!=',
- 'gt': '>',
- 'gte': '>=',
- 'lt': '<',
- 'lte': '<=',
- 'and': '&',
- 'or': '|',
-}
-
-class Connection:
- def __init__(self, path):
- self.path = path
- self.h5file = tables.open_file(path)
-
- def execute(self, sql, params=None, truncate=False, page_size=None, max_returned_rows=None):
- if params is None:
- params = {}
- rows = []
+ 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 = []
+ description = ()
- parsed_sql = _parse_sql(sql, params)
+ # Some Datasette queries uses glob operand, not supported by Pytables
+ if ' glob ' in sql:
+ return results, truncated, description
- if parsed_sql['from'] == 'sqlite_master':
- rows = self._execute_datasette_query(sql, params)
- description = (('value',))
- return rows, truncated, description
+ parsed_sql = parse_sql(sql, params)
- table = self.h5file.get_node(parsed_sql['from'])
+ 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']
start = 0
end = table.nrows
- # Use 'where' statement or get all the rows
- def _cast_param(field, pname):
- # Cast value to the column type
+ 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
subexpr = [_translate_where(e) for e in where[operator]]
subexpr = filter(lambda e: e, subexpr)
subexpr = ["({})".format(e) for e in subexpr]
- expr = " {} ".format(_operators[operator]).join(subexpr)
+ expr = " {} ".format(self.operators[operator]).join(subexpr)
elif operator == 'exists':
pass
elif where == {'eq': ['rowid', 'p0']}:
start = int(params['p0']) + 1
else:
left, right = where[operator]
- if left in params:
+
+ 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=_operators.get(operator, operator), right=right)
+ expr = "{left} {operator} {right}".format(
+ left=left,
+ operator=self.operators.get(operator, operator),
+ right=right,
+ )
return expr
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:
# 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)
return row
return get_row_value
- if len(fields) == 1 and type(fields[0]['value']) is dict and \
- fields[0]['value'].get('count') == '*':
- rows.append(Row({'count(*)': int(table.nrows)}))
- else:
- get_rowid = make_get_rowid()
- get_row_value = make_get_row_value()
- count = 0
- for table_row in table_rows:
- count += 1
- if limit and count > limit:
- break
- if truncate and max_returned_rows and count > max_returned_rows:
- truncated = True
- break
- row = Row()
- for field in fields:
+ # 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 type(field_name) is 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))
+ 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:
- row[field_name] = normalize_field_value(get_row_value(table_row, field_name))
- rows.append(row)
+ 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'] for f in fields]:
+ for field in [f['value'] if isinstance(f, dict) else f for f in fields]:
if field == '*':
for col in colnames:
- description.append((col,))
- else:
- description.append((field,))
-
- # Return the rows
- return rows, truncated, tuple(description)
-
- def _execute_datasette_query(self, sql, params):
- "Datasette special queries for getting tables info"
- if sql == "SELECT count(*) from sqlite_master WHERE type = 'view' and name=:n":
- row = Row()
- row['count(*)'] = 0
- return [row]
- elif sql == 'select sql from sqlite_master where name = :n and type="table"':
- try:
- table = self.h5file.get_node(params['n'])
- colnames = ['value']
- if type(table) is tables.table.Table:
- colnames = table.colnames
- row = Row()
- row['sql'] = 'CREATE TABLE {} ({})'.format(params['n'], ", ".join(colnames))
- return [row]
- except:
- return []
- else:
- raise Exception("SQLite queries cannot be executed with this connector")
-
-class Row(list):
- def __init__(self, values=None):
- self.labels = []
- self.values = []
- if values:
- for idx in values:
- self.__setitem__(idx, values[idx])
-
- def __setitem__(self, idx, value):
- if type(idx) is str:
- if idx in self.labels:
- self.values[self.labels.index(idx)] = value
+ description += ((col,),)
else:
- self.labels.append(idx)
- self.values.append(value)
- else:
- self.values[idx] = value
-
- def __getitem__(self, idx):
- if type(idx) is str:
- return self.values[self.labels.index(idx)]
- else:
- return self.values[idx]
+ description += ((field,),)
- def __iter__(self):
- return self.values.__iter__()
+ return results, truncated, description
projects / datasette-pytables.git / blobdiff