project.py 文件源码

def add_data(self, packet: DataPacket):
        """
        Import a DataFrame into the project
        :param packet: DataPacket custom class containing file path, dataframe, data type and flight association
        :return: Void
        """
        self.log.debug("Ingesting data and exporting to hdf5 store")

        file_uid = 'f' + uuid.uuid4().hex[1:]  # Fixes NaturalNameWarning by ensuring first char is letter ('f').

        with HDFStore(str(self.hdf_path)) as store:
            # Separate data into groups by data type (GPS & Gravity Data)
            # format: 'table' pytables format enables searching/appending, fixed is more performant.
            store.put('{}/{}'.format(packet.data_type, file_uid), packet.data, format='fixed', data_columns=True)
            # Store a reference to the original file path
            self.data_map[file_uid] = packet.path
        try:
            flight = self.flights[packet.flight.uid]
            if packet.data_type == 'gravity':
                flight.gravity = file_uid
            elif packet.data_type == 'gps':
                flight.gps = file_uid
        except KeyError:
            return False