target_dir = None, remote_dir = '20240923120000'

    @staticmethod
    def fetch_bufr_ftp(target_dir=None, remote_dir=None):
        """
        Fetch and read latest ECMWF TC track predictions from the FTP
        dissemination server. If target_dir is set, the files get downloaded
        persistently to the given location. A list of opened file-like objects
        gets returned.
    
        Parameters
        ----------
        target_dir : str
            An existing directory to write the files to. If
            None, the files get returned as tempfiles.
        remote_dir : str, optional
            If set, search this ftp folder for
            forecast files; defaults to the latest. Format:
            yyyymmddhhmmss, e.g. 20200730120000
    
        Returns
        -------
        [filelike]
        """
        con = ftplib.FTP(host=ECMWF_FTP.host.str(),
                         user=ECMWF_FTP.user.str(),
                         passwd=ECMWF_FTP.passwd.str())
        try:
            if remote_dir is None:
                # Read list of directories on the FTP server
                remote = pd.Series(con.nlst())
                # Identify directories with forecasts initialised as 00 or 12 UTC
                remote = remote[remote.str.contains('120000|000000$')]
                # Select the most recent directory (names are formatted yyyymmddhhmmss)
                remote = remote.sort_values(ascending=False)
                remote_dir = remote.iloc[0]
    
            # Connect to the directory
            con.cwd(remote_dir)
    
            # Filter to files with 'tropical_cyclone' in the name: each file is a forecast
            # ensemble for one event
            remotefiles_temp = fnmatch.filter(con.nlst(), '*tropical_cyclone*')
            # Filter to forecast ensemble files only
            remotefiles = fnmatch.filter(remotefiles_temp, '*ECEP*')
    
            if len(remotefiles) == 0:
                msg = 'No tracks found at ftp://{}/{}'
                msg.format(ECMWF_FTP.host.dir(), remote_dir)
>               raise FileNotFoundError(msg)
E               FileNotFoundError: No tracks found at ftp://{}/{}

../../../../petals_branches/branches/PR-128/workspace/climada_petals/hazard/tc_tracks_forecast.py:215: FileNotFoundError

The above exception was the direct cause of the following exception:

self = <climada_petals.test.test_tc_forecast_integr.TestTCForecast testMethod=test_data_extraction_from_ecmwf>

    def test_data_extraction_from_ecmwf(self):
        """Test realtime TC tracks data retrieval from ECMWF"""
        tr_forecast = TCForecast()
>       tr_forecast.fetch_ecmwf()

../../../../petals_branches/branches/PR-128/workspace/climada_petals/test/test_tc_forecast_integr.py:47: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../../../petals_branches/branches/PR-128/workspace/climada_petals/hazard/tc_tracks_forecast.py:149: in fetch_ecmwf
    files = self.fetch_bufr_ftp(target_dir, remote_dir)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

target_dir = None, remote_dir = '20240923120000'

    @staticmethod
    def fetch_bufr_ftp(target_dir=None, remote_dir=None):
        """
        Fetch and read latest ECMWF TC track predictions from the FTP
        dissemination server. If target_dir is set, the files get downloaded
        persistently to the given location. A list of opened file-like objects
        gets returned.
    
        Parameters
        ----------
        target_dir : str
            An existing directory to write the files to. If
            None, the files get returned as tempfiles.
        remote_dir : str, optional
            If set, search this ftp folder for
            forecast files; defaults to the latest. Format:
            yyyymmddhhmmss, e.g. 20200730120000
    
        Returns
        -------
        [filelike]
        """
        con = ftplib.FTP(host=ECMWF_FTP.host.str(),
                         user=ECMWF_FTP.user.str(),
                         passwd=ECMWF_FTP.passwd.str())
        try:
            if remote_dir is None:
                # Read list of directories on the FTP server
                remote = pd.Series(con.nlst())
                # Identify directories with forecasts initialised as 00 or 12 UTC
                remote = remote[remote.str.contains('120000|000000$')]
                # Select the most recent directory (names are formatted yyyymmddhhmmss)
                remote = remote.sort_values(ascending=False)
                remote_dir = remote.iloc[0]
    
            # Connect to the directory
            con.cwd(remote_dir)
    
            # Filter to files with 'tropical_cyclone' in the name: each file is a forecast
            # ensemble for one event
            remotefiles_temp = fnmatch.filter(con.nlst(), '*tropical_cyclone*')
            # Filter to forecast ensemble files only
            remotefiles = fnmatch.filter(remotefiles_temp, '*ECEP*')
    
            if len(remotefiles) == 0:
                msg = 'No tracks found at ftp://{}/{}'
                msg.format(ECMWF_FTP.host.dir(), remote_dir)
                raise FileNotFoundError(msg)
    
            localfiles = []
    
            LOGGER.info('Fetching BUFR tracks:')
    
            for rfile in tqdm.tqdm(remotefiles, desc='Download', unit=' files'):
                if target_dir:
                    lfile = Path(target_dir, rfile).open('w+b')
                else:
                    lfile = tempfile.TemporaryFile(mode='w+b')
    
                con.retrbinary('RETR ' + rfile, lfile.write)
                lfile.seek(0)
                localfiles.append(lfile)
    
        except ftplib.all_errors as err:
            con.quit()
>           raise type(err)('Error while downloading BUFR TC tracks: ' + str(err)) from err
E           FileNotFoundError: Error while downloading BUFR TC tracks: No tracks found at ftp://{}/{}

../../../../petals_branches/branches/PR-128/workspace/climada_petals/hazard/tc_tracks_forecast.py:233: FileNotFoundError