from .cinterface import CTaosInterface from .error import * from .constants import FieldType class TDengineCursor(object): """Database cursor which is used to manage the context of a fetch operation. Attributes: .description: Read-only attribute consists of 7-item sequences: > name (mondatory) > type_code (mondatory) > display_size > internal_size > precision > scale > null_ok This attribute will be None for operations that do not return rows or if the cursor has not had an operation invoked via the .execute*() method yet. .rowcount:This read-only attribute specifies the number of rows that the last .execute*() produced (for DQL statements like SELECT) or affected """ def __init__(self, connection=None): self._description = None self._rowcount = -1 self._connection = None self._result = None self._fields = None self._block = None self._block_rows = -1 self._block_iter = 0 self._affected_rows = 0 self._logfile = "" if connection is not None: self._connection = connection def __iter__(self): return self def next(self): if self._result is None or self._fields is None: raise OperationalError("Invalid use of fetch iterator") if self._block_rows <= self._block_iter: block, self._block_rows = CTaosInterface.fetchBlock( self._result, self._fields) if self._block_rows == 0: raise StopIteration self._block = list(map(tuple, zip(*block))) self._block_iter = 0 data = self._block[self._block_iter] self._block_iter += 1 return data @property def description(self): """Return the description of the object. """ return self._description @property def rowcount(self): """Return the rowcount of the object """ return self._rowcount @property def affected_rows(self): """Return the affected_rows of the object """ return self._affected_rows def callproc(self, procname, *args): """Call a stored database procedure with the given name. Void functionality since no stored procedures. """ pass def log(self, logfile): self._logfile = logfile def close(self): """Close the cursor. """ if self._connection is None: return False self._connection.clear_result_set() self._reset_result() self._connection = None return True def execute(self, operation, params=None): """Prepare and execute a database operation (query or command). """ if not operation: return None if not self._connection: # TODO : change the exception raised here raise ProgrammingError("Cursor is not connected") self._connection.clear_result_set() self._reset_result() stmt = operation if params is not None: pass # global querySeqNum # querySeqNum += 1 # localSeqNum = querySeqNum # avoid raice condition # print(" >> Exec Query ({}): {}".format(localSeqNum, str(stmt))) self._result = CTaosInterface.query(self._connection._conn, stmt) # print(" << Query ({}) Exec Done".format(localSeqNum)) if (self._logfile): with open(self._logfile, "a") as logfile: logfile.write("%s;\n" % operation) if self._result is not None: if CTaosInterface.fieldsCount(self._result) == 0: self._affected_rows += CTaosInterface.affectedRows( self._result ) return CTaosInterface.affectedRows(self._result ) else: self._fields = CTaosInterface.useResult( self._result) return self._handle_result() else: raise ProgrammingError( CTaosInterface.errStr( self._result )) def executemany(self, operation, seq_of_parameters): """Prepare a database operation (query or command) and then execute it against all parameter sequences or mappings found in the sequence seq_of_parameters. """ pass def fetchone(self): """Fetch the next row of a query result set, returning a single sequence, or None when no more data is available. """ pass def istype(self, col, dataType): if (dataType.upper() == "BOOL"): if (self._description[col][1] == FieldType.C_BOOL): return True if (dataType.upper() == "TINYINT"): if (self._description[col][1] == FieldType.C_TINYINT): return True if (dataType.upper() == "INT"): if (self._description[col][1] == FieldType.C_INT): return True if (dataType.upper() == "BIGINT"): if (self._description[col][1] == FieldType.C_INT): return True if (dataType.upper() == "FLOAT"): if (self._description[col][1] == FieldType.C_FLOAT): return True if (dataType.upper() == "DOUBLE"): if (self._description[col][1] == FieldType.C_DOUBLE): return True if (dataType.upper() == "BINARY"): if (self._description[col][1] == FieldType.C_BINARY): return True if (dataType.upper() == "TIMESTAMP"): if (self._description[col][1] == FieldType.C_TIMESTAMP): return True if (dataType.upper() == "NCHAR"): if (self._description[col][1] == FieldType.C_NCHAR): return True return False def fetchmany(self): pass def fetchall(self): """Fetch all (remaining) rows of a query result, returning them as a sequence of sequences (e.g. a list of tuples). Note that the cursor's arraysize attribute can affect the performance of this operation. """ if self._result is None or self._fields is None: raise OperationalError("Invalid use of fetchall") buffer = [[] for i in range(len(self._fields))] self._rowcount = 0 while True: block, num_of_fields = CTaosInterface.fetchBlock( self._result, self._fields) if num_of_fields == 0: break self._rowcount += num_of_fields for i in range(len(self._fields)): buffer[i].extend(block[i]) self._connection.clear_result_set() return list(map(tuple, zip(*buffer))) def nextset(self): """ """ pass def setinputsize(self, sizes): pass def setutputsize(self, size, column=None): pass def _reset_result(self): """Reset the result to unused version. """ self._description = None self._rowcount = -1 self._result = None self._fields = None self._block = None self._block_rows = -1 self._block_iter = 0 self._affected_rows = 0 def _handle_result(self): """Handle the return result from query. """ self._description = [] for ele in self._fields: self._description.append( (ele['name'], ele['type'], None, None, None, None, False)) return self._result