Python Logger.get方法代碼示例

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
def SaveIqAscii(reducer=None, process=''):
    """ Old command for backward compatibility """
    output_dir = os.path.expanduser('~')
    msg = "SaveIqAscii is not longer used:\n  "
    msg += "Please use 'SaveIq' instead\n  "
    msg += "Your output files are currently in %s" % output_dir
    Logger.get("CommandInterface").warning(msg)
    ReductionSingleton().reduction_properties["OutputDirectory"] = output_dir
    ReductionSingleton().reduction_properties["ProcessInfo"] = str(process)

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
def find_data(file, instrument='', allow_multiple=False):
    """
        Finds a file path for the specified data set, which can either be:
            - a run number
            - an absolute path
            - a file name
        @param file: file name or part of a file name
        @param instrument: if supplied, FindNeXus will be tried as a last resort
    """
    # First, assume a file name
    file = str(file).strip()
    
    # If we allow multiple files, users may use ; as a separator,
    # which is incompatible with the FileFinder
    n_files = 1
    if allow_multiple:
        file=file.replace(';',',')
        toks = file.split(',')
        n_files = len(toks)
    
    instrument = str(instrument)
    file_path = FileFinder.getFullPath(file)
    if os.path.isfile(file_path):
        return file_path

    # Second, assume a run number and pass the instrument name as a hint
    try:
        # FileFinder doesn't like dashes...
        instrument=instrument.replace('-','')        
        f = FileFinder.findRuns(instrument+file)
        if os.path.isfile(f[0]): 
            if allow_multiple:
                # Mantid returns its own list object type, so make a real list out if it
                if len(f)==n_files:
                    return [i for i in f] 
            else: return f[0]
    except:
        # FileFinder couldn't make sense of the the supplied information
        pass

    # Third, assume a run number, without instrument name to take care of list of full paths
    try:
        f = FileFinder.findRuns(file)
        if os.path.isfile(f[0]): 
            if allow_multiple:
                # Mantid returns its own list object type, so make a real list out if it   
                if len(f)==n_files:         
                    return [i for i in f] 
            else: return f[0]
    except:
        # FileFinder couldn't make sense of the the supplied information
        pass

    # If we didn't find anything, raise an exception
    Logger.get('find_data').error("\n\nCould not find a file for %s: check your reduction parameters\n\n" % str(file))
    raise RuntimeError, "Could not find a file for %s" % str(file)

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
 def __init__(self, name="", facility=""):
     self.instrument_name = name
     self.facility_name = facility
     self._observers = []
     self._output_directory = os.path.expanduser('~')
     if HAS_MANTID:
         config = ConfigService.Instance()
         try:
             head, tail = os.path.split(config.getUserFilename())
             if os.path.isdir(head):
                 self._output_directory = head
         except:
             Logger.get("scripter").debug("Could not get user filename")

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
 def __init__(self, filepath):
     if not _os.path.isfile(filepath):
         raise ValueError("PluginLoader expects a single filename. '%s' does not point to an existing file" % filepath)
     if not filepath.endswith(self.extension):
         raise ValueError("PluginLoader expects a filename ending with .py. '%s' does not have a .py extension" % filepath)
     self._filepath = filepath
     self._logger = Logger.get("PluginLoader")

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
 def test_logger_creation_does_not_raise_an_error(self):
     logger = Logger.get("LoggerTest")
     self.assertTrue(isinstance(logger, Logger))
     attrs = ['fatal', 'error','warning','notice', 'information', 'debug']
     for att in attrs:
         if not hasattr(logger, att):
             self.fail("Logger object does not have the required attribute '%s'" % att)

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
 def __init__(self, data_file, workspace_name=None):
     self.errors = []
     if HAS_MANTID:
         try:
             if workspace_name is None:
                 self.data_ws = "__raw_data_file"
             else:
                 self.data_ws = str(workspace_name)
             api.HFIRLoad(Filename=str(data_file), OutputWorkspace=self.data_ws)
             ws = AnalysisDataService.retrieve(self.data_ws)
             x = ws.dataX(0)
             self.wavelength = (x[0]+x[1])/2.0
             self.wavelength_spread = x[1]-x[0]
             self.sample_detector_distance = ws.getRun().getProperty("sample_detector_distance").value
             self.sample_thickness = ws.getRun().getProperty("sample-thickness").value
             self.beam_diameter = ws.getRun().getProperty("beam-diameter").value
             
             Logger.get("hfir_data_proxy").information("Loaded data file: %s" % data_file)
         except:
             Logger.get("hfir_data_proxy").error("Error loading data file:\n%s" % sys.exc_value)
             self.errors.append("Error loading data file:\n%s" % sys.exc_value)

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
 def pre_process(self):
     """
         Reduction steps that are meant to be executed only once per set
         of data files. After this is executed, all files will go through
         the list of reduction steps.
     """
     Logger.get("Reducer").information("Setting up reduction options")
     if self.setup_algorithm is not None:
         alg = AlgorithmManager.create(self.setup_algorithm)
         alg.initialize()
         props = [p.name for p in alg.getProperties()]
         for key in self.reduction_properties.keys():
             if key in props:
                 try:
                     alg.setProperty(key, self.reduction_properties[key])
                 except:
                     msg = "Error setting %s=%s" % (key, str(self.reduction_properties[key]))
                     msg += "\n  %s" % sys.exc_value
                     Logger.get("Reducer").error(msg)
             else:
                 Logger.get("Reducer").warning("Setup algorithm has no %s property" % key)
         
         if "ReductionProperties" in props:
             alg.setPropertyValue("ReductionProperties",
                                  self.get_reduction_table_name())
         alg.execute()

# 需要導入模塊: from mantid.kernel import Logger [as 別名]
# 或者: from mantid.kernel.Logger import get [as 別名]
    def reduce(self):
        """
            Go through the list of reduction steps
        """
        t_0 = time.time()
        self.output_workspaces = []
        
        # Log text
        self.log_text = "%s reduction - %s\n" % (self.instrument_name, time.ctime())
        self.log_text += "Mantid Python API v2\n"

        # Go through the list of steps that are common to all data files
        self.pre_process()

        if self.reduction_algorithm is None:
            Logger.get("Reducer").error("A reduction algorithm wasn't set: stopping")
            return
        
        for ws in self._data_files.keys():
            alg = AlgorithmManager.create(self.reduction_algorithm)
            alg.initialize()
            props = [p.name for p in alg.getProperties()]
            
            # Check whether the data is already available or needs to be loaded
            if self._data_files[ws] is not None:
                datafile = self._data_files[ws]
                if type(datafile)==list:
                    datafile=','.join(datafile)
                if "Filename" in props:
                    alg.setPropertyValue("Filename", datafile)
                else:
                    msg = "Can't set the Filename property on %s" % self.reduction_algorithm
                    Logger.get("Reducer").error(msg)
            else:
                if "InputWorkspace" in props:
                    alg.setPropertyValue("InputWorkspace", ws)
                else:
                    msg = "Can't set the InputWorkspace property on %s" % self.reduction_algorithm
                    Logger.get("Reducer").error(msg)
                
            if "ReductionProperties" in props:
                alg.setPropertyValue("ReductionProperties",
                                     self.get_reduction_table_name())
            
            if "OutputWorkspace" in props:
                alg.setPropertyValue("OutputWorkspace", ws)
            
            alg.execute()   
            if "OutputMessage" in props:
                self.log_text += alg.getProperty("OutputMessage").value+'\n'

        #any clean up, possibly removing workspaces 
        self.post_process()
    
        # Determine which directory to use
        output_dir = self._data_path
        if self._output_path is not None:
            if os.path.isdir(self._output_path):
                output_dir = self._output_path
            else:
                output_dir = os.path.expanduser('~')

        self.log_text += "Reduction completed in %g sec\n" % (time.time()-t_0)
        log_path = os.path.join(output_dir,"%s_reduction.log" % self.instrument_name)
        self.log_text += "Log saved to %s" % log_path
        
        # Write the log to file
        f = open(log_path, 'a')
        f.write("\n-------------------------------------------\n")
        f.write(self.log_text)
        f.close()
        return self.log_text