X-Git-Url: https://git.jsancho.org/?p=datasette-pytables.git;a=blobdiff_plain;f=datasette_pytables%2F__init__.py;h=e8d0a6ccb4519f72d2e0680e0c3b4b8f44dc2574;hp=a3b1844af528e46abbfef28644687b33477ea8af;hb=2cf7538022a4290be1cdbe6f8cf13e44f8190bee;hpb=d1a26f37d5239c452df2ec6bef410b798b87ac4f diff --git a/datasette_pytables/__init__.py b/datasette_pytables/__init__.py index a3b1844..e8d0a6c 100644 --- a/datasette_pytables/__init__.py +++ b/datasette_pytables/__init__.py @@ -1,3 +1,176 @@ +from collections import OrderedDict +from moz_sql_parser import parse +import re +import tables + +_connector_type = 'pytables' + def inspect(path): "Open file and return tables info" - return [], [] + h5tables = {} + views = [] + h5file = tables.open_file(path) + + for table in filter(lambda node: not(isinstance(node, tables.group.Group)), h5file): + colnames = [] + 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) + + parsed = parse(sql) + 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): + if params is None: + params = {} + rows = [] + truncated = False + description = [] + + parsed_sql = _parse_sql(sql, params) + table = self.h5file.get_node(parsed_sql['from']) + table_rows = [] + fields = parsed_sql['select'] + + query = '' + start = 0 + end = table.nrows + + # Use 'where' statement or get all the rows + def _cast_param(field, pname): + # Cast value to the column type + coltype = table.coltypes[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 + expr = '' + operator = list(where)[0] + + if operator in ['and', 'or']: + subexpr = ["({})".format(_translate_where(q)) for q in where[operator]] + expr = " {} ".format(_operators[operator]).join(subexpr) + elif where == {'eq': ['rowid', 'p0']}: + nonlocal start, end + start = int(params['p0']) + end = start + 1 + else: + left, right = where[operator] + if left in params: + _cast_param(right, left) + elif right in params: + _cast_param(left, right) + + expr = "{left} {operator} {right}".format(left=left, operator=_operators.get(operator, operator), right=right) + + return expr + + if 'where' in parsed_sql: + try: + query = _translate_where(parsed_sql['where']) + except: + # Probably it's a PyTables query + query = str(parsed_sql['where'])[6:] # without where keyword + + # Limit number of rows + if 'limit' in parsed_sql: + max_rows = int(parsed_sql['limit']) + if end - start > max_rows: + end = start + max_rows + + # Execute query + if query: + table_rows = table.where(query, params, start, end) + else: + table_rows = table.iterrows(start, end) + + # Prepare rows + 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: + for table_row in table_rows: + row = Row() + for field in fields: + if field['value'] == 'rowid': + row['rowid'] = int(table_row.nrow) + elif field['value'] == '*': + for col in table.colnames: + value = table_row[col] + if type(value) is bytes: + value = value.decode('utf-8') + row[col] = value + else: + row[field['value']] = table_row[field['value']] + rows.append(row) + + # Prepare query description + for field in [f['value'] for f in fields]: + if field == '*': + for col in table.colnames: + description.append((col,)) + else: + description.append((field,)) + + # Return the rows + if truncate: + return rows, truncated, tuple(description) + else: + return rows + +class Row(OrderedDict): + 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__()