示例#1
0
    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,
                                   purge=True):
            dataset_name = override_name

            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'])
                return Bunch(type='file',
                             path=data_file['local_filename'],
                             name=dataset_name,
                             purge_source=purge)
            except Exception:
                # The uploaded file should've been persisted by the upload tool action
                return Bunch(type=None, path=None, name=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).read()

                def start_of_url(content):
                    start_of_url_paste = content.lstrip()[0:10].lower()
                    looks_like_url = False
                    for url_prefix in URI_PREFIXES:
                        if start_of_url_paste.startswith(url_prefix):
                            looks_like_url = True
                            break

                    return looks_like_url

                if start_of_url(url_paste):
                    url_paste = url_paste.replace('\r', '').split('\n')
                    for line in url_paste:
                        line = line.strip()
                        if line:
                            if not start_of_url(line):
                                continue  # non-url line, ignore

                            if "file://" in line:
                                if not trans.user_is_admin:
                                    raise AdminRequiredException()
                                elif not trans.app.config.allow_path_paste:
                                    raise ConfigDoesNotAllowException()
                                upload_path = line[len("file://"):]
                                dataset_name = os.path.basename(upload_path)
                            else:
                                dataset_name = line

                            if override_name:
                                dataset_name = override_name
                            yield Bunch(type='url',
                                        path=line,
                                        name=dataset_name)
                else:
                    dataset_name = 'Pasted Entry'  # we need to differentiate between various url pastes here
                    if override_name:
                        dataset_name = override_name
                    yield Bunch(type='file',
                                path=url_paste_file,
                                name=dataset_name)

        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
            file_type = context.get('file_type', None)
            dbkey = self.get_dbkey(context)
            warnings = []
            to_posix_lines = False
            if context.get('to_posix_lines',
                           None) not in ["None", None, False]:
                to_posix_lines = True
            auto_decompress = False
            if context.get('auto_decompress',
                           None) not in ["None", None, False]:
                auto_decompress = 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
                assert not os.path.islink(
                    user_ftp_dir
                ), "User FTP directory cannot be a symbolic link"
                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)
                                    }
                                    purge = getattr(trans.app.config,
                                                    'ftp_upload_purge', True)
                                    file_bunch = get_data_file_filename(
                                        ftp_data_file,
                                        override_name=name,
                                        override_info=info,
                                        purge=purge,
                                    )
                                    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.auto_decompress = auto_decompress
            file_bunch.space_to_tab = space_to_tab
            file_bunch.uuid = uuid
            if file_type is not None:
                file_bunch.file_type = file_type
            if dbkey is not None:
                file_bunch.dbkey = dbkey
            return file_bunch, warnings

        def get_filenames(context):
            rval = []
            data_file = context['file_data']
            ftp_files = context['ftp_files']
            uuid = context.get('uuid', None) or None  # Turn '' to None
            name = context.get('NAME', None)
            info = context.get('INFO', None)
            file_type = context.get('file_type', None)
            dbkey = self.get_dbkey(context)
            to_posix_lines = False
            if context.get('to_posix_lines',
                           None) not in ["None", None, False]:
                to_posix_lines = True
            auto_decompress = False
            if context.get('auto_decompress',
                           None) not in ["None", None, False]:
                auto_decompress = 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)
            file_bunch.uuid = uuid
            if file_bunch.path:
                file_bunch.to_posix_lines = to_posix_lines
                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)
            for file_bunch in get_url_paste_urls_or_filename(
                    context, override_name=name, override_info=info):
                if file_bunch.path:
                    file_bunch.uuid = uuid
                    file_bunch.to_posix_lines = to_posix_lines
                    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)
            # look for files uploaded via FTP
            valid_files = []
            if ftp_files is not None:
                # Normalize input paths to ensure utf-8 encoding is normal form c.
                # This allows for comparison when the filesystem uses a different encoding than the browser.
                ftp_files = [
                    unicodedata.normalize('NFC', f) for f in ftp_files
                    if isinstance(f, str)
                ]
                if trans.user is None:
                    log.warning(
                        'Anonymous user passed values in ftp_files: %s' %
                        ftp_files)
                    ftp_files = []
                    # TODO: warning to the user (could happen if session has become invalid)
                else:
                    user_ftp_dir = trans.user_ftp_dir
                    assert not os.path.islink(
                        user_ftp_dir
                    ), "User FTP directory cannot be a symbolic link"
                    for dirpath, _dirnames, filenames in os.walk(user_ftp_dir):
                        for filename in filenames:
                            path = relpath(os.path.join(dirpath, filename),
                                           user_ftp_dir)
                            if not os.path.islink(
                                    os.path.join(dirpath, filename)):
                                # Normalize filesystem paths
                                if isinstance(path, str):
                                    valid_files.append(
                                        unicodedata.normalize('NFC', path))
                                else:
                                    valid_files.append(path)

            else:
                ftp_files = []
            for ftp_file in ftp_files:
                if ftp_file not in valid_files:
                    log.warning(
                        'User passed an invalid file path in ftp_files: %s' %
                        ftp_file)
                    continue
                    # TODO: warning to the user (could happen if file is already imported)
                ftp_data_file = {
                    'local_filename':
                    os.path.abspath(os.path.join(user_ftp_dir, ftp_file)),
                    'filename':
                    os.path.basename(ftp_file)
                }
                purge = getattr(trans.app.config, 'ftp_upload_purge', True)
                file_bunch = get_data_file_filename(ftp_data_file,
                                                    override_name=name,
                                                    override_info=info,
                                                    purge=purge)
                if file_bunch.path:
                    file_bunch.to_posix_lines = to_posix_lines
                    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)
        tags = context.get('tags', 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
            dataset.tags = None
            # load metadata
            files_metadata = context.get(self.metadata_ref, {})
            metadata_name_substition_default_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(
                    io.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
                    dataset.tags = tags
                    rval.append(dataset)
            return rval
示例#2
0
    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, purge=True):
            dataset_name = override_name

            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'])
                return Bunch(type='file', path=data_file['local_filename'], name=dataset_name, purge_source=purge)
            except Exception:
                # The uploaded file should've been persisted by the upload tool action
                return Bunch(type=None, path=None, name=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()

                def start_of_url(content):
                    start_of_url_paste = content.lstrip()[0:8].lower()
                    looks_like_url = False
                    for url_prefix in ["http://", "https://", "ftp://", "file://"]:
                        if start_of_url_paste.startswith(url_prefix):
                            looks_like_url = True
                            break

                    return looks_like_url

                if start_of_url(url_paste):
                    url_paste = url_paste.replace('\r', '').split('\n')
                    for line in url_paste:
                        line = line.strip()
                        if line:
                            if not start_of_url(line):
                                continue  # non-url line, ignore

                            if "file://" in line:
                                if not trans.user_is_admin():
                                    raise AdminRequiredException()
                                elif not trans.app.config.allow_path_paste:
                                    raise ConfigDoesNotAllowException()
                                upload_path = line[len("file://"):]
                                dataset_name = os.path.basename(upload_path)
                            else:
                                dataset_name = line

                            if override_name:
                                dataset_name = override_name
                            yield Bunch(type='url', path=line, name=dataset_name)
                else:
                    dataset_name = 'Pasted Entry'  # we need to differentiate between various url pastes here
                    if override_name:
                        dataset_name = override_name
                    yield Bunch(type='file', path=url_paste_file, name=dataset_name)

        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
            file_type = context.get('file_type', None)
            dbkey = self.get_dbkey(context)
            warnings = []
            to_posix_lines = False
            if context.get('to_posix_lines', None) not in ["None", None, False]:
                to_posix_lines = True
            auto_decompress = False
            if context.get('auto_decompress', None) not in ["None", None, False]:
                auto_decompress = 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
                assert not os.path.islink(user_ftp_dir), "User FTP directory cannot be a symbolic link"
                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)}
                                    purge = getattr(trans.app.config, 'ftp_upload_purge', True)
                                    file_bunch = get_data_file_filename(
                                        ftp_data_file,
                                        override_name=name,
                                        override_info=info,
                                        purge=purge,
                                    )
                                    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.auto_decompress = auto_decompress
            file_bunch.space_to_tab = space_to_tab
            file_bunch.uuid = uuid
            if file_type is not None:
                file_bunch.file_type = file_type
            if dbkey is not None:
                file_bunch.dbkey = dbkey
            return file_bunch, warnings

        def get_filenames(context):
            rval = []
            data_file = context['file_data']
            ftp_files = context['ftp_files']
            uuid = context.get('uuid', None) or None  # Turn '' to None
            name = context.get('NAME', None)
            info = context.get('INFO', None)
            file_type = context.get('file_type', None)
            dbkey = self.get_dbkey(context)
            to_posix_lines = False
            if context.get('to_posix_lines', None) not in ["None", None, False]:
                to_posix_lines = True
            auto_decompress = False
            if context.get('auto_decompress', None) not in ["None", None, False]:
                auto_decompress = 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)
            file_bunch.uuid = uuid
            if file_bunch.path:
                file_bunch.to_posix_lines = to_posix_lines
                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)
            for file_bunch in get_url_paste_urls_or_filename(context, override_name=name, override_info=info):
                if file_bunch.path:
                    file_bunch.uuid = uuid
                    file_bunch.to_posix_lines = to_posix_lines
                    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)
            # look for files uploaded via FTP
            valid_files = []
            if ftp_files is not None:
                # Normalize input paths to ensure utf-8 encoding is normal form c.
                # This allows for comparison when the filesystem uses a different encoding than the browser.
                ftp_files = [unicodedata.normalize('NFC', f) for f in ftp_files if isinstance(f, text_type)]
                if trans.user is None:
                    log.warning('Anonymous user passed values in ftp_files: %s' % ftp_files)
                    ftp_files = []
                    # TODO: warning to the user (could happen if session has become invalid)
                else:
                    user_ftp_dir = trans.user_ftp_dir
                    assert not os.path.islink(user_ftp_dir), "User FTP directory cannot be a symbolic link"
                    for (dirpath, dirnames, filenames) in os.walk(user_ftp_dir):
                        for filename in filenames:
                            path = relpath(os.path.join(dirpath, filename), user_ftp_dir)
                            if not os.path.islink(os.path.join(dirpath, filename)):
                                # Normalize filesystem paths
                                if isinstance(path, text_type):
                                    valid_files.append(unicodedata.normalize('NFC', path))
                                else:
                                    valid_files.append(path)

            else:
                ftp_files = []
            for ftp_file in ftp_files:
                if ftp_file not in valid_files:
                    log.warning('User passed an invalid file path in ftp_files: %s' % ftp_file)
                    continue
                    # TODO: warning to the user (could happen if file is already imported)
                ftp_data_file = {'local_filename' : os.path.abspath(os.path.join(user_ftp_dir, ftp_file)),
                                 'filename' : os.path.basename(ftp_file)}
                purge = getattr(trans.app.config, 'ftp_upload_purge', True)
                file_bunch = get_data_file_filename(ftp_data_file, override_name=name, override_info=info, purge=purge)
                if file_bunch.path:
                    file_bunch.to_posix_lines = to_posix_lines
                    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)
        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:
            # 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')
            keys = [value.name for value in writable_files.values()]
            for i, group_incoming in enumerate(groups_incoming[writable_files_offset :]):
                key = keys[i + writable_files_offset]
                if 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:
                        dataset.composite_files[key] = file_bunch.__dict__
                    else:
                        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
示例#3
0
    def _resolve_item(item):
        # Might be a dataset or a composite upload.
        requested_ext = item.get("ext", None)
        registry = upload_config.registry
        datatype = registry.get_datatype_by_extension(requested_ext)
        composite = item.pop("composite", None)
        if datatype and datatype.composite_type:
            composite_type = datatype.composite_type
            writable_files = datatype.writable_files
            assert composite_type == "auto_primary_file", "basic composite uploads not yet implemented"

            # get_composite_dataset_name finds dataset name from basename of contents
            # and such but we're not implementing that here yet. yagni?
            # also need name...
            dataset_bunch = Bunch()
            name = item.get("name") or 'Composite Dataset'
            dataset_bunch.name = name
            primary_file = sniff.stream_to_file(
                StringIO(datatype.generate_primary_file(dataset_bunch)),
                prefix='upload_auto_primary_file',
                dir=".")
            extra_files_path = primary_file + "_extra"
            os.mkdir(extra_files_path)
            rval = {
                "name": name,
                "filename": primary_file,
                "ext": requested_ext,
                "link_data_only": False,
                "sources": [],
                "hashes": [],
                "extra_files": extra_files_path,
            }
            _copy_and_validate_simple_attributes(item, rval)
            composite_items = composite.get("elements", [])
            keys = [value.name for value in writable_files.values()]
            composite_item_idx = 0
            for composite_item in composite_items:
                if composite_item_idx >= len(keys):
                    # raise exception - too many files?
                    pass
                key = keys[composite_item_idx]
                writable_file = writable_files[key]
                _, src_target = _has_src_to_path(upload_config, composite_item)
                # do the writing
                sniff.handle_composite_file(
                    datatype,
                    src_target,
                    extra_files_path,
                    key,
                    writable_file.is_binary,
                    ".",
                    os.path.basename(extra_files_path) + "_",
                    composite_item,
                )
                composite_item_idx += 1

            writable_files_idx = composite_item_idx
            while writable_files_idx < len(keys):
                key = keys[writable_files_idx]
                writable_file = writable_files[key]
                if not writable_file.optional:
                    # raise Exception, non-optional file missing
                    pass
                writable_files_idx += 1
            return rval
        else:
            if composite:
                raise Exception(
                    "Non-composite datatype [%s] attempting to be created with composite data."
                    % datatype)
            return _resolve_item_with_primary(item)
示例#4
0
 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'
         dataset.file_type = file_type
         dataset.dbkey = dbkey
         dataset.datatype = d_type
         dataset.warnings = []
         dataset.metadata = {}
         dataset.composite_files = {}
         #load metadata
         files_metadata = context.get( self.metadata_ref, {} )
         for meta_name, meta_spec in d_type.metadata_spec.iteritems():
             if meta_spec.set_in_upload:
                 if meta_name in files_metadata:
                     dataset.metadata[ meta_name ] = files_metadata[ meta_name ]
         dataset_name = None
         dataset_info = None
         if dataset.datatype.composite_type == 'auto_primary_file':
             #replace sniff here with just creating an empty file
             temp_name, is_multi_byte = sniff.stream_to_file( StringIO.StringIO( d_type.generate_primary_file() ), prefix='upload_auto_primary_file' )
             dataset.primary_file = temp_name
             dataset.space_to_tab = False
             dataset.precreated_name = dataset.name = 'Uploaded Composite Dataset (%s)' % ( file_type )
         else:
             file_bunch, warnings = get_one_filename( groups_incoming[ 0 ] )
             if dataset.datatype.composite_type:
                 precreated_name = 'Uploaded Composite Dataset (%s)' % ( file_type )
             writable_files_offset = 1
             dataset.primary_file = file_bunch.path
             dataset.space_to_tab = file_bunch.space_to_tab
             dataset.precreated_name = file_bunch.precreated_name
             dataset.name = file_bunch.precreated_name
             dataset.warnings.extend( file_bunch.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' )
         keys = [ value.name for value in writable_files.values() ]
         for i, group_incoming in enumerate( groups_incoming[ writable_files_offset : ] ):
             key = keys[ i + writable_files_offset ]
             if group_incoming is None and not writable_files[ 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 )
                 if file_bunch.path:
                     dataset.composite_files[ key ] = file_bunch.__dict__
                 else:
                     dataset.composite_files[ key ] = None
                     if not writable_files[ writable_files.keys()[ keys.index( key ) ] ].optional:
                         dataset.warnings.append( "A required composite file (%s) was not specified." % ( key ) )
         return [ dataset ]
     else:
         datasets = get_filenames( context[ self.name ][0] )
         rval = []
         for dataset in datasets:
             dataset.file_type = file_type
             dataset.datatype = d_type
             dataset.ext = self.get_datatype_ext( trans, context )
             dataset.dbkey = dbkey
             rval.append( dataset )
         return rval
示例#5
0
    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'
            dataset.file_type = file_type
            dataset.dbkey = dbkey
            dataset.datatype = d_type
            dataset.warnings = []
            dataset.metadata = {}
            dataset.composite_files = {}
            #load metadata
            files_metadata = context.get(self.metadata_ref, {})
            for meta_name, meta_spec in d_type.metadata_spec.iteritems():
                if meta_spec.set_in_upload:
                    if meta_name in files_metadata:
                        dataset.metadata[meta_name] = files_metadata[meta_name]
            dataset_name = None
            dataset_info = None
            if dataset.datatype.composite_type == 'auto_primary_file':
                #replace sniff here with just creating an empty file
                temp_name, is_multi_byte = sniff.stream_to_file(
                    StringIO.StringIO(d_type.generate_primary_file()),
                    prefix='upload_auto_primary_file')
                dataset.primary_file = temp_name
                dataset.space_to_tab = False
                dataset.precreated_name = dataset.name = 'Uploaded Composite Dataset (%s)' % (
                    file_type)
            else:
                file_bunch, warnings = get_one_filename(groups_incoming[0])
                if dataset.datatype.composite_type:
                    precreated_name = 'Uploaded Composite Dataset (%s)' % (
                        file_type)
                writable_files_offset = 1
                dataset.primary_file = file_bunch.path
                dataset.space_to_tab = file_bunch.space_to_tab
                dataset.precreated_name = file_bunch.precreated_name
                dataset.name = file_bunch.precreated_name
                dataset.warnings.extend(file_bunch.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'
                )
            keys = [value.name for value in writable_files.values()]
            for i, group_incoming in enumerate(
                    groups_incoming[writable_files_offset:]):
                key = keys[i + writable_files_offset]
                if group_incoming is None and not writable_files[
                        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)
                    if file_bunch.path:
                        dataset.composite_files[key] = file_bunch.__dict__
                    else:
                        dataset.composite_files[key] = None
                        if not writable_files[writable_files.keys()[keys.index(
                                key)]].optional:
                            dataset.warnings.append(
                                "A required composite file (%s) was not specified."
                                % (key))
            return [dataset]
        else:
            datasets = get_filenames(context[self.name][0])
            rval = []
            for dataset in datasets:
                dataset.file_type = file_type
                dataset.datatype = d_type
                dataset.ext = self.get_datatype_ext(trans, context)
                dataset.dbkey = dbkey
                rval.append(dataset)
            return rval