Python Bunch.metadata[meta_name]方法代码示例

# 需要导入模块: from galaxy.util.bunch import Bunch [as 别名]
# 或者: from galaxy.util.bunch.Bunch import metadata[meta_name] [as 别名]

#.........这里部分代码省略.........
                    file_bunch.auto_decompress = auto_decompress
                    file_bunch.space_to_tab = space_to_tab
                    if file_type is not None:
                        file_bunch.file_type = file_type
                    if dbkey is not None:
                        file_bunch.dbkey = dbkey
                    rval.append(file_bunch)
            return rval
        file_type = self.get_file_type(context)
        file_count = self.get_file_count(trans, context)
        d_type = self.get_datatype(trans, context)
        dbkey = self.get_dbkey(context)
        tag_using_filenames = context.get('tag_using_filenames', False)
        force_composite = asbool(context.get('force_composite', 'False'))
        writable_files = d_type.writable_files
        writable_files_offset = 0
        groups_incoming = [None for _ in range(file_count)]
        for group_incoming in context.get(self.name, []):
            i = int(group_incoming['__index__'])
            groups_incoming[i] = group_incoming
        if d_type.composite_type is not None or force_composite:
            # handle uploading of composite datatypes
            # Only one Dataset can be created
            dataset = Bunch()
            dataset.type = 'composite'
            dataset.file_type = file_type
            dataset.dbkey = dbkey
            dataset.datatype = d_type
            dataset.warnings = []
            dataset.metadata = {}
            dataset.composite_files = {}
            dataset.uuid = None
            dataset.tag_using_filenames = None
            # load metadata
            files_metadata = context.get(self.metadata_ref, {})
            metadata_name_substition_default_dict = dict((composite_file.substitute_name_with_metadata, d_type.metadata_spec[composite_file.substitute_name_with_metadata].default) for composite_file in d_type.composite_files.values() if composite_file.substitute_name_with_metadata)
            for meta_name, meta_spec in d_type.metadata_spec.items():
                if meta_spec.set_in_upload:
                    if meta_name in files_metadata:
                        meta_value = files_metadata[meta_name]
                        if meta_name in metadata_name_substition_default_dict:
                            meta_value = sanitize_for_filename(meta_value, default=metadata_name_substition_default_dict[meta_name])
                        dataset.metadata[meta_name] = meta_value
            dataset.name = self.get_composite_dataset_name(context)
            if dataset.datatype.composite_type == 'auto_primary_file':
                # replace sniff here with just creating an empty file
                temp_name = sniff.stream_to_file(StringIO(d_type.generate_primary_file(dataset)), prefix='upload_auto_primary_file')
                dataset.primary_file = temp_name
                dataset.to_posix_lines = True
                dataset.auto_decompress = True
                dataset.space_to_tab = False
            else:
                file_bunch, warnings = get_one_filename(groups_incoming[0])
                writable_files_offset = 1
                dataset.primary_file = file_bunch.path
                dataset.to_posix_lines = file_bunch.to_posix_lines
                dataset.auto_decompress = file_bunch.auto_decompress
                dataset.space_to_tab = file_bunch.space_to_tab
                if file_bunch.file_type:
                    dataset.file_type = file_type
                if file_bunch.dbkey:
                    dataset.dbkey = dbkey
                dataset.warnings.extend(warnings)
            if dataset.primary_file is None:  # remove this before finish, this should create an empty dataset
                raise Exception('No primary dataset file was available for composite upload')
            if not force_composite:
                keys = [value.name for value in writable_files.values()]
            else:
                keys = [str(index) for index in range(file_count)]
            for i, group_incoming in enumerate(groups_incoming[writable_files_offset:]):
                key = keys[i + writable_files_offset]
                if not force_composite and group_incoming is None and not writable_files[list(writable_files.keys())[keys.index(key)]].optional:
                    dataset.warnings.append("A required composite file (%s) was not specified." % (key))
                    dataset.composite_files[key] = None
                else:
                    file_bunch, warnings = get_one_filename(group_incoming)
                    dataset.warnings.extend(warnings)
                    if file_bunch.path:
                        if force_composite:
                            key = group_incoming.get("NAME") or i
                        dataset.composite_files[key] = file_bunch.__dict__
                    elif not force_composite:
                        dataset.composite_files[key] = None
                        if not writable_files[list(writable_files.keys())[keys.index(key)]].optional:
                            dataset.warnings.append("A required composite file (%s) was not specified." % (key))
            return [dataset]
        else:
            rval = []
            for i, file_contexts in enumerate(context[self.name]):
                datasets = get_filenames(file_contexts)
                for dataset in datasets:
                    override_file_type = self.get_file_type(context[self.name][i], parent_context=context)
                    d_type = self.get_datatype(trans, context[self.name][i], parent_context=context)
                    dataset.file_type = override_file_type
                    dataset.datatype = d_type
                    dataset.ext = self.get_datatype_ext(trans, context[self.name][i], parent_context=context)
                    dataset.dbkey = self.get_dbkey(context[self.name][i], parent_context=context)
                    dataset.tag_using_filenames = tag_using_filenames
                    rval.append(dataset)
            return rval

# 需要导入模块: from galaxy.util.bunch import Bunch [as 别名]
# 或者: from galaxy.util.bunch.Bunch import metadata[meta_name] [as 别名]
 def get_uploaded_datasets( self, trans, context, override_name = None, override_info = None ):
     def get_data_file_filename( data_file, override_name = None, override_info = None ):
         dataset_name = override_name
         dataset_info = override_info
         def get_file_name( file_name ):
             file_name = file_name.split( '\\' )[-1]
             file_name = file_name.split( '/' )[-1]
             return file_name
         try:
             # Use the existing file
             if not dataset_name and 'filename' in data_file:
                 dataset_name = get_file_name( data_file['filename'] )
             if not dataset_info:
                 dataset_info = 'uploaded file'
             return Bunch( type='file', path=data_file['local_filename'], name=get_file_name( data_file['filename'] ) )
             #return 'file', data_file['local_filename'], get_file_name( data_file.filename ), dataset_name, dataset_info
         except:
             # The uploaded file should've been persisted by the upload tool action
             return Bunch( type=None, path=None, name=None )
             #return None, None, None, None, None
     def get_url_paste_urls_or_filename( group_incoming, override_name = None, override_info = None ):
         filenames = []
         url_paste_file = group_incoming.get( 'url_paste', None )
         if url_paste_file is not None:
             url_paste = open( url_paste_file, 'r' ).read( 1024 )
             if url_paste.lstrip().lower().startswith( 'http://' ) or url_paste.lstrip().lower().startswith( 'ftp://' ):
                 url_paste = url_paste.replace( '\r', '' ).split( '\n' )
                 for line in url_paste:
                     line = line.strip()
                     if line:
                         if not line.lower().startswith( 'http://' ) and not line.lower().startswith( 'ftp://' ):
                             continue # non-url line, ignore
                         precreated_name = line
                         dataset_name = override_name
                         if not dataset_name:
                             dataset_name = line
                         dataset_info = override_info
                         if not dataset_info:
                             dataset_info = 'uploaded url'
                         yield Bunch( type='url', path=line, name=precreated_name )
                         #yield ( 'url', line, precreated_name, dataset_name, dataset_info )
             else:
                 dataset_name = dataset_info = precreated_name = 'Pasted Entry' #we need to differentiate between various url pastes here
                 if override_name:
                     dataset_name = override_name
                 if override_info:
                     dataset_info = override_info
                 yield Bunch( type='file', path=url_paste_file, name=precreated_name )
                 #yield ( 'file', url_paste_file, precreated_name, dataset_name, dataset_info )
     def get_one_filename( context ):
         data_file = context['file_data']
         url_paste = context['url_paste']
         name = context.get( 'NAME', None )
         info = context.get( 'INFO', None )
         warnings = []
         space_to_tab = False 
         if context.get( 'space_to_tab', None ) not in ["None", None]:
             space_to_tab = True
         file_bunch = get_data_file_filename( data_file, override_name = name, override_info = info )
         if file_bunch.path and url_paste:
             if url_paste.strip():
                 warnings.append( "All file contents specified in the paste box were ignored." )
         else: #we need to use url_paste
             for file_bunch in get_url_paste_urls_or_filename( context, override_name = name, override_info = info ):
                 if file_bunch.path:
                     break
         return file_bunch, warnings
     def get_filenames( context ):
         rval = []
         data_file = context['file_data']
         url_paste = context['url_paste']
         name = context.get( 'NAME', None )
         info = context.get( 'INFO', None )
         space_to_tab = False
         if context.get( 'space_to_tab', None ) not in ["None", None]:
             space_to_tab = True
         warnings = []
         file_bunch = get_data_file_filename( data_file, override_name = name, override_info = info )
         if file_bunch.path:
             file_bunch.space_to_tab = space_to_tab
             rval.append( file_bunch )
         for file_bunch in get_url_paste_urls_or_filename( context, override_name = name, override_info = info ):
             if file_bunch.path:
                 file_bunch.space_to_tab = space_to_tab
                 rval.append( file_bunch )
         return rval
     file_type = self.get_file_type( context )
     d_type = self.get_datatype( trans, context )
     dbkey = context.get( 'dbkey', None )
     writable_files = d_type.writable_files
     writable_files_offset = 0
     groups_incoming = [ None for filename in writable_files ]
     for group_incoming in context.get( self.name, [] ):
         i = int( group_incoming['__index__'] )
         groups_incoming[ i ] = group_incoming
     if d_type.composite_type is not None:
         #handle uploading of composite datatypes
         #Only one Dataset can be created
         dataset = Bunch()
         dataset.type = 'composite'
#.........这里部分代码省略.........

# 需要导入模块: from galaxy.util.bunch import Bunch [as 别名]
# 或者: from galaxy.util.bunch.Bunch import metadata[meta_name] [as 别名]
    def get_uploaded_datasets( self, trans, context, override_name=None, override_info=None ):
        def get_data_file_filename( data_file, override_name=None, override_info=None ):
            dataset_name = override_name
            dataset_info = override_info

            def get_file_name( file_name ):
                file_name = file_name.split( '\\' )[-1]
                file_name = file_name.split( '/' )[-1]
                return file_name
            try:
                # Use the existing file
                if not dataset_name and 'filename' in data_file:
                    dataset_name = get_file_name( data_file['filename'] )
                if not dataset_info:
                    dataset_info = 'uploaded file'
                return Bunch( type='file', path=data_file['local_filename'], name=dataset_name )
                # return 'file', data_file['local_filename'], get_file_name( data_file.filename ), dataset_name, dataset_info
            except:
                # The uploaded file should've been persisted by the upload tool action
                return Bunch( type=None, path=None, name=None )
                # return None, None, None, None, None

        def get_url_paste_urls_or_filename( group_incoming, override_name=None, override_info=None ):
            url_paste_file = group_incoming.get( 'url_paste', None )
            if url_paste_file is not None:
                url_paste = open( url_paste_file, 'r' ).read( 1024 )
                if url_paste.lstrip().lower().startswith( 'http://' ) or url_paste.lstrip().lower().startswith( 'ftp://' ) or url_paste.lstrip().lower().startswith( 'https://' ):
                    url_paste = url_paste.replace( '\r', '' ).split( '\n' )
                    for line in url_paste:
                        line = line.strip()
                        if line:
                            if not line.lower().startswith( 'http://' ) and not line.lower().startswith( 'ftp://' ) and not line.lower().startswith( 'https://' ):
                                continue  # non-url line, ignore
                            dataset_name = override_name
                            if not dataset_name:
                                dataset_name = line
                            dataset_info = override_info
                            if not dataset_info:
                                dataset_info = 'uploaded url'
                            yield Bunch( type='url', path=line, name=dataset_name )
                            # yield ( 'url', line, precreated_name, dataset_name, dataset_info )
                else:
                    dataset_name = dataset_info = precreated_name = 'Pasted Entry'  # we need to differentiate between various url pastes here
                    if override_name:
                        dataset_name = override_name
                    if override_info:
                        dataset_info = override_info
                    yield Bunch( type='file', path=url_paste_file, name=precreated_name )
                    # yield ( 'file', url_paste_file, precreated_name, dataset_name, dataset_info )

        def get_one_filename( context ):
            data_file = context['file_data']
            url_paste = context['url_paste']
            ftp_files = context['ftp_files']
            name = context.get( 'NAME', None )
            info = context.get( 'INFO', None )
            uuid = context.get( 'uuid', None ) or None  # Turn '' to None
            warnings = []
            to_posix_lines = False
            if context.get( 'to_posix_lines', None ) not in [ "None", None, False ]:
                to_posix_lines = True
            space_to_tab = False
            if context.get( 'space_to_tab', None ) not in [ "None", None, False ]:
                space_to_tab = True
            file_bunch = get_data_file_filename( data_file, override_name=name, override_info=info )
            if file_bunch.path:
                if url_paste is not None and url_paste.strip():
                    warnings.append( "All file contents specified in the paste box were ignored." )
                if ftp_files:
                    warnings.append( "All FTP uploaded file selections were ignored." )
            elif url_paste is not None and url_paste.strip():  # we need to use url_paste
                for file_bunch in get_url_paste_urls_or_filename( context, override_name=name, override_info=info ):
                    if file_bunch.path:
                        break
                if file_bunch.path and ftp_files is not None:
                    warnings.append( "All FTP uploaded file selections were ignored." )
            elif ftp_files is not None and trans.user is not None:  # look for files uploaded via FTP
                user_ftp_dir = trans.user_ftp_dir
                for ( dirpath, dirnames, filenames ) in os.walk( user_ftp_dir ):
                    for filename in filenames:
                        for ftp_filename in ftp_files:
                            if ftp_filename == filename:
                                path = relpath( os.path.join( dirpath, filename ), user_ftp_dir )
                                if not os.path.islink( os.path.join( dirpath, filename ) ):
                                    ftp_data_file = { 'local_filename' : os.path.abspath( os.path.join( user_ftp_dir, path ) ),
                                                      'filename' : os.path.basename( path ) }
                                    file_bunch = get_data_file_filename( ftp_data_file, override_name=name, override_info=info )
                                    if file_bunch.path:
                                        break
                        if file_bunch.path:
                            break
                    if file_bunch.path:
                        break
            file_bunch.to_posix_lines = to_posix_lines
            file_bunch.space_to_tab = space_to_tab
            file_bunch.uuid = uuid
            return file_bunch, warnings

        def get_filenames( context ):
            rval = []
#.........这里部分代码省略.........