X-Git-Url: https://git.jsancho.org/?p=datasette-pytables.git;a=blobdiff_plain;f=datasette_pytables%2F__init__.py;h=094710b517ee27d50dbd2341952b4144fa2d082e;hp=9b2061890d6fe0eb03e01a425f8d7eecabdda4b0;hb=3b77ff8064a87213d72b14c0f7acdd77c88c05c4;hpb=5a6c3f4c97b3d7e598cbca4d9dfe9602cbe3406b diff --git a/datasette_pytables/__init__.py b/datasette_pytables/__init__.py index 9b20618..094710b 100644 --- a/datasette_pytables/__init__.py +++ b/datasette_pytables/__init__.py @@ -1,3 +1,6 @@ +from collections import OrderedDict +from moz_sql_parser import parse +import re import tables _connector_type = 'pytables' @@ -17,7 +20,7 @@ def inspect(path): 'name': table._v_pathname, 'columns': colnames, 'primary_keys': [], - 'count': table.nrows, + 'count': int(table.nrows), 'label_column': None, 'hidden': False, 'fts_table': None, @@ -26,3 +29,159 @@ def inspect(path): 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) + 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): + 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: + if type(parsed_sql['where']) is dict: + query = _translate_where(parsed_sql['where']) + else: + query = parsed_sql['where'] + + # 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__()