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collect_simple_instances

CollectSettingsSimpleInstances

Bases: InstancePlugin

Collect data for instances created by settings creators.

Plugin create representations for simple instances based on 'representation_files' attribute stored on instance data.

There is also possibility to have reviewable representation which can be stored under 'reviewable' attribute stored on instance data. If there was already created representation with the same files as 'reviewable' contains

Representations can be marked for review and in that case is also added 'review' family to instance families. For review can be marked only one representation so first representation that has extension available in '_review_extensions' is used for review.

For instance 'source' is used path from last representation created from 'representation_files'.

Set staging directory on instance. That is probably never used because each created representation has it's own staging dir.

Source code in client/ayon_traypublisher/plugins/publish/collect_simple_instances.py
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class CollectSettingsSimpleInstances(pyblish.api.InstancePlugin):
    """Collect data for instances created by settings creators.

    Plugin create representations for simple instances based
    on 'representation_files' attribute stored on instance data.

    There is also possibility to have reviewable representation which can be
    stored under 'reviewable' attribute stored on instance data. If there was
    already created representation with the same files as 'reviewable' contains

    Representations can be marked for review and in that case is also added
    'review' family to instance families. For review can be marked only one
    representation so **first** representation that has extension available
    in '_review_extensions' is used for review.

    For instance 'source' is used path from last representation created
    from 'representation_files'.

    Set staging directory on instance. That is probably never used because
    each created representation has it's own staging dir.
    """

    label = "Collect Settings Simple Instances"
    order = pyblish.api.CollectorOrder - 0.49

    hosts = ["traypublisher"]

    def process(self, instance):
        if not instance.data.get("settings_creator"):
            return

        instance_label = instance.data["name"]
        # Create instance's staging dir in temp
        tmp_folder = tempfile.mkdtemp(prefix="traypublisher_")
        instance.data["stagingDir"] = tmp_folder
        instance.context.data["cleanupFullPaths"].append(tmp_folder)

        self.log.debug((
            "Created temp staging directory for instance {}. {}"
        ).format(instance_label, tmp_folder))

        self._fill_version(instance, instance_label)

        # Store filepaths for validation of their existence
        source_filepaths = []
        # Make sure there are no representations with same name
        repre_names_counter = {}
        # Store created names for logging
        repre_names = []
        # Store set of filepaths per each representation
        representation_files_mapping = []
        source = self._create_main_representations(
            instance,
            source_filepaths,
            repre_names_counter,
            repre_names,
            representation_files_mapping
        )

        self._create_review_representation(
            instance,
            source_filepaths,
            repre_names_counter,
            repre_names,
            representation_files_mapping
        )
        source_filepaths = list(set(source_filepaths))
        instance.data["source"] = source
        instance.data["sourceFilepaths"] = source_filepaths

        # NOTE: Missing filepaths should not cause crashes (at least not here)
        # - if filepaths are required they should crash on validation
        if source_filepaths:
            # NOTE: Original basename is not handling sequences
            # - we should maybe not fill the key when sequence is used?
            origin_basename = Path(source_filepaths[0]).stem
            instance.data["originalBasename"] = origin_basename

        # Special test for SXR format.
        # The following code can be removed as soon as a new
        # ayon-core dependency is set on ayon-traypublisher.
        # https://github.com/ynput/ayon-traypublisher/issues/77
        for repre in instance.data["representations"]:
            if (
                repre["ext"].lower() == "sxr"
                and ".sxr" not in transcoding.IMAGE_EXTENSIONS
            ):
                raise PublishError(
                    "SXR extension is not supported. Update"
                    " ayon-core in order to fix this."
                )

        self.log.debug(
            (
                "Created Simple Settings instance \"{}\""
                " with {} representations: {}"
            ).format(
                instance_label,
                len(instance.data["representations"]),
                ", ".join(repre_names)
            )
        )

    def _fill_version(self, instance, instance_label):
        """Fill instance version under which will be instance integrated.

        Instance must have set 'use_next_version' to 'False'
        and 'version_to_use' to version to use.

        Args:
            instance (pyblish.api.Instance): Instance to fill version for.
            instance_label (str): Label of instance to fill version for.
        """

        creator_attributes = instance.data["creator_attributes"]
        use_next_version = creator_attributes.get("use_next_version", True)
        # If 'version_to_use' is '0' it means that next version should be used
        version_to_use = creator_attributes.get("version_to_use", 0)
        if use_next_version or not version_to_use:
            return
        instance.data["version"] = version_to_use
        self.log.debug(
            "Version for instance \"{}\" was set to \"{}\"".format(
                instance_label, version_to_use))

    def _create_main_representations(
        self,
        instance,
        source_filepaths,
        repre_names_counter,
        repre_names,
        representation_files_mapping
    ):
        creator_attributes = instance.data["creator_attributes"]
        filepath_items = creator_attributes["representation_files"]
        if not isinstance(filepath_items, list):
            filepath_items = [filepath_items]

        source = None
        for filepath_item in filepath_items:
            # Skip if filepath item does not have filenames
            if not filepath_item["filenames"]:
                continue

            filepaths = {
                os.path.join(filepath_item["directory"], filename)
                for filename in filepath_item["filenames"]
            }
            source_filepaths.extend(filepaths)

            source = self._calculate_source(filepaths)
            representation = self._create_representation_data(
                filepath_item, repre_names_counter, repre_names
            )
            instance.data["representations"].append(representation)
            representation_files_mapping.append(
                (filepaths, representation, source)
            )
        return source

    def _create_review_representation(
        self,
        instance,
        source_filepaths,
        repre_names_counter,
        repre_names,
        representation_files_mapping
    ):
        # Skip review representation creation if there are no representations
        #   created for "main" part
        #   - review representation must not be created in that case so
        #       validation can care about it
        if not representation_files_mapping:
            self.log.warning((
                "There are missing source representations."
                " Creation of review representation was skipped."
            ))
            return

        creator_attributes = instance.data["creator_attributes"]
        review_file_item = creator_attributes["reviewable"]
        filenames = review_file_item.get("filenames")
        if not filenames:
            self.log.debug((
                "Filepath for review is not defined."
                " Skipping review representation creation."
            ))
            return

        item_dir = review_file_item["directory"]
        first_filepath = os.path.join(item_dir, filenames[0])

        filepaths = {
            os.path.join(item_dir, filename)
            for filename in filenames
        }
        source_filepaths.extend(filepaths)
        # First try to find out representation with same filepaths
        #   so it's not needed to create new representation just for review
        use_source_as_review = False
        review_representation = None
        # Review path (only for logging)
        review_path = None
        for item in representation_files_mapping:
            _filepaths, representation, repre_path = item
            if _filepaths == filepaths:
                review_representation = representation
                review_path = repre_path
                use_source_as_review = True
                break

        if review_representation is None:
            self.log.debug("Creating new review representation")
            review_path = self._calculate_source(filepaths)
            review_representation = self._create_representation_data(
                review_file_item, repre_names_counter, repre_names
            )
            instance.data["representations"].append(review_representation)

        if "review" not in instance.data["families"]:
            instance.data["families"].append("review")

        if not instance.data.get("thumbnailSource"):
            instance.data["thumbnailSource"] = first_filepath

        review_representation["tags"].append("review")

        # Adding "review" to representation name since it can clash with main
        # representation if they share the same extension.
        if not use_source_as_review:
            review_representation["outputName"] = "review"

        self.log.debug("Representation {} was marked for review. {}".format(
            review_representation["name"], review_path
        ))

    def _create_representation_data(
        self, filepath_item, repre_names_counter, repre_names
    ):
        """Create new representation data based on file item.

        Args:
            filepath_item (Dict[str, Any]): Item with information about
                representation paths.
            repre_names_counter (Dict[str, int]): Store count of representation
                names.
            repre_names (List[str]): All used representation names. For
                logging purposes.

        Returns:
            Dict: Prepared base representation data.
        """

        filenames = filepath_item["filenames"]
        _, ext = os.path.splitext(filenames[0])
        if len(filenames) == 1:
            filenames = filenames[0]

        repre_name = repre_ext = ext[1:]
        if repre_name not in repre_names_counter:
            repre_names_counter[repre_name] = 2
            counter = None
        else:
            counter = repre_names_counter[repre_name]
            repre_names_counter[repre_name] += 1
            repre_name = "{}_{}".format(repre_name, counter)
        repre_names.append(repre_name)
        representation_data = {
            "ext": repre_ext,
            "name": repre_name,
            "stagingDir": filepath_item["directory"],
            "files": filenames,
            "tags": []
        }

        if counter:
            representation_data["outputName"] = str(counter)

        return representation_data

    def _calculate_source(self, filepaths):
        cols, rems = clique.assemble(filepaths)
        if cols:
            source = cols[0].format("{head}{padding}{tail}")
        elif rems:
            source = rems[0]
        return source