예제 #1
0
    def save(self, render_name=False, *args, **kwargs):  # pylint: disable=keyword-arg-before-vararg
        """Save the data model."""
        if self.name != self._original_name:
            self.named_by_user = True

        create = self.pk is None
        if create:
            fill_with_defaults(self.input, self.process.input_schema)  # pylint: disable=no-member

            if not self.name:
                self._render_name()
            else:
                self.named_by_user = True

            self.checksum = get_data_checksum(
                self.input, self.process.slug, self.process.version)  # pylint: disable=no-member

        elif render_name:
            self._render_name()

        self.save_storage(self.output, self.process.output_schema)  # pylint: disable=no-member

        if self.status != Data.STATUS_ERROR:
            hydrate_size(self)
            # If only specified fields are updated (e.g. in executor), size needs to be added
            if 'update_fields' in kwargs:
                kwargs['update_fields'].append('size')

        # Input Data objects are validated only upon creation as they can be deleted later.
        skip_missing_data = not create
        validate_schema(
            self.input, self.process.input_schema, skip_missing_data=skip_missing_data  # pylint: disable=no-member
        )

        render_descriptor(self)

        if self.descriptor_schema:
            try:
                validate_schema(self.descriptor, self.descriptor_schema.schema)  # pylint: disable=no-member
                self.descriptor_dirty = False
            except DirtyError:
                self.descriptor_dirty = True
        elif self.descriptor and self.descriptor != {}:
            raise ValueError("`descriptor_schema` must be defined if `descriptor` is given")

        if self.status != Data.STATUS_ERROR:
            output_schema = self.process.output_schema  # pylint: disable=no-member
            if self.status == Data.STATUS_DONE:
                validate_schema(
                    self.output, output_schema, data_location=self.location, skip_missing_data=True
                )
            else:
                validate_schema(
                    self.output, output_schema, data_location=self.location, test_required=False
                )

        with transaction.atomic():
            self._perform_save(*args, **kwargs)
예제 #2
0
파일: data.py 프로젝트: genialis/resolwe
    def save(self, render_name=False, *args, **kwargs):
        """Save the data model."""
        if self.name != self._original_name:
            self.named_by_user = True

        try:
            jsonschema.validate(
                self.process_resources, validation_schema("process_resources")
            )
        except jsonschema.exceptions.ValidationError as exception:
            # Re-raise as Django ValidationError
            raise ValidationError(exception.message)

        create = self.pk is None
        if create:
            fill_with_defaults(self.input, self.process.input_schema)

            if not self.name:
                self._render_name()
            else:
                self.named_by_user = True

            self.checksum = get_data_checksum(
                self.input, self.process.slug, self.process.version
            )

            validate_schema(self.input, self.process.input_schema)

            hydrate_size(self)
            # If only specified fields are updated (e.g. in executor), size needs to be added
            if "update_fields" in kwargs:
                kwargs["update_fields"].append("size")

        elif render_name:
            self._render_name()

        render_descriptor(self)

        if self.descriptor_schema:
            try:
                validate_schema(self.descriptor, self.descriptor_schema.schema)
                self.descriptor_dirty = False
            except DirtyError:
                self.descriptor_dirty = True
        elif self.descriptor and self.descriptor != {}:
            raise ValueError(
                "`descriptor_schema` must be defined if `descriptor` is given"
            )

        with transaction.atomic():
            self._perform_save(*args, **kwargs)

        self._original_output = self.output
예제 #3
0
파일: data.py 프로젝트: lukaw3d/resolwe
    def perform_get_or_create(self, request, *args, **kwargs):
        """Perform "get_or_create" - return existing object if found."""
        serializer = self.get_serializer(data=request.data)
        serializer.is_valid(raise_exception=True)
        process = serializer.validated_data.get('process')
        process_input = request.data.get('input', {})

        fill_with_defaults(process_input, process.input_schema)

        checksum = get_data_checksum(process_input, process.slug, process.version)
        data_qs = Data.objects.filter(
            checksum=checksum,
            process__persistence__in=[Process.PERSISTENCE_CACHED, Process.PERSISTENCE_TEMP],
        )
        data_qs = get_objects_for_user(request.user, 'view_data', data_qs)
        if data_qs.exists():
            data = data_qs.order_by('created').last()
            serializer = self.get_serializer(data)
            return Response(serializer.data)
예제 #4
0
    def perform_get_or_create(self, request, *args, **kwargs):
        """Perform "get_or_create" - return existing object if found."""
        serializer = self.get_serializer(data=request.data)
        serializer.is_valid(raise_exception=True)
        process = serializer.validated_data.get('process')
        process_input = request.data.get('input', {})

        fill_with_defaults(process_input, process.input_schema)

        checksum = get_data_checksum(process_input, process.slug, process.version)
        data_qs = Data.objects.filter(
            checksum=checksum,
            process__persistence__in=[Process.PERSISTENCE_CACHED, Process.PERSISTENCE_TEMP],
        )
        data_qs = get_objects_for_user(request.user, 'view_data', data_qs)
        if data_qs.exists():
            data = data_qs.order_by('created').last()
            serializer = self.get_serializer(data)
            return Response(serializer.data)
예제 #5
0
파일: data.py 프로젝트: jberci/resolwe
    def save(self, render_name=False, *args, **kwargs):  # pylint: disable=keyword-arg-before-vararg
        """Save the data model."""
        # Generate the descriptor if one is not already set.
        if self.name != self._original_name:
            self.named_by_user = True

        create = self.pk is None
        if create:
            fill_with_defaults(self.input, self.process.input_schema)  # pylint: disable=no-member

            if not self.name:
                self._render_name()
            else:
                self.named_by_user = True

            self.checksum = get_data_checksum(self.input, self.process.slug,
                                              self.process.version)  # pylint: disable=no-member

        elif render_name:
            self._render_name()

        self.save_storage(self.output, self.process.output_schema)  # pylint: disable=no-member

        if self.status != Data.STATUS_ERROR:
            hydrate_size(self)
            # If only specified fields are updated (e.g. in executor), size needs to be added
            if 'update_fields' in kwargs:
                kwargs['update_fields'].append('size')

        # Input Data objects are validated only upon creation as they can be deleted later.
        skip_missing_data = not create
        validate_schema(
            self.input,
            self.process.input_schema,
            skip_missing_data=skip_missing_data  # pylint: disable=no-member
        )

        render_descriptor(self)

        if self.descriptor_schema:
            try:
                validate_schema(self.descriptor, self.descriptor_schema.schema)  # pylint: disable=no-member
                self.descriptor_dirty = False
            except DirtyError:
                self.descriptor_dirty = True
        elif self.descriptor and self.descriptor != {}:
            raise ValueError(
                "`descriptor_schema` must be defined if `descriptor` is given")

        if self.status != Data.STATUS_ERROR:
            path_prefix = os.path.join(settings.FLOW_EXECUTOR['DATA_DIR'],
                                       str(self.pk))
            output_schema = self.process.output_schema  # pylint: disable=no-member
            if self.status == Data.STATUS_DONE:
                validate_schema(self.output,
                                output_schema,
                                path_prefix=path_prefix)
            else:
                validate_schema(self.output,
                                output_schema,
                                path_prefix=path_prefix,
                                test_required=False)

        with transaction.atomic():
            super().save(*args, **kwargs)

            # We can only save dependencies after the data object has been saved. This
            # is why a transaction block is needed and the save method must be called first.
            if create:
                self.save_dependencies(self.input, self.process.input_schema)  # pylint: disable=no-member
                self.create_entity()
예제 #6
0
파일: data.py 프로젝트: genialis/resolwe
    def save(self, render_name=False, *args, **kwargs):  # pylint: disable=keyword-arg-before-vararg
        """Save the data model."""
        if self.name != self._original_name:
            self.named_by_user = True

        create = self.pk is None
        if create:
            fill_with_defaults(self.input, self.process.input_schema)  # pylint: disable=no-member

            if not self.name:
                self._render_name()
            else:
                self.named_by_user = True

            self.checksum = get_data_checksum(
                self.input, self.process.slug, self.process.version)  # pylint: disable=no-member

        elif render_name:
            self._render_name()

        self.save_storage(self.output, self.process.output_schema)  # pylint: disable=no-member

        if self.status != Data.STATUS_ERROR:
            hydrate_size(self)
            # If only specified fields are updated (e.g. in executor), size needs to be added
            if 'update_fields' in kwargs:
                kwargs['update_fields'].append('size')

        # Input Data objects are validated only upon creation as they can be deleted later.
        skip_missing_data = not create
        validate_schema(
            self.input, self.process.input_schema, skip_missing_data=skip_missing_data  # pylint: disable=no-member
        )

        render_descriptor(self)

        if self.descriptor_schema:
            try:
                validate_schema(self.descriptor, self.descriptor_schema.schema)  # pylint: disable=no-member
                self.descriptor_dirty = False
            except DirtyError:
                self.descriptor_dirty = True
        elif self.descriptor and self.descriptor != {}:
            raise ValueError("`descriptor_schema` must be defined if `descriptor` is given")

        if self.status != Data.STATUS_ERROR:
            output_schema = self.process.output_schema  # pylint: disable=no-member
            if self.status == Data.STATUS_DONE:
                validate_schema(
                    self.output, output_schema, data_location=self.location, skip_missing_data=True
                )
            else:
                validate_schema(
                    self.output, output_schema, data_location=self.location, test_required=False
                )

        with transaction.atomic():
            self._perform_save(*args, **kwargs)

            # We can only save dependencies after the data object has been saved. This
            # is why a transaction block is needed and the save method must be called first.
            if create:
                self.save_dependencies(self.input, self.process.input_schema)  # pylint: disable=no-member
                self.create_entity()