ayon-core/openpype/plugins/publish/collect_rendered_files.py

"""Loads publishing context from json and continues in publish process.

Requires:
    anatomy -> context["anatomy"] *(pyblish.api.CollectorOrder - 0.4)

Provides:
    context, instances -> All data from previous publishing process.
"""

import os
import json

import pyblish.api

from openpype.pipeline import legacy_io, KnownPublishError


class CollectRenderedFiles(pyblish.api.ContextPlugin):
    """
    This collector will try to find json files in provided
    `OPENPYPE_PUBLISH_DATA`. Those files _MUST_ share same context.

    Note:
        We should split this collector and move the part which handle reading
            of file and it's context from session data before collect anatomy
            and instance creation dependent on anatomy can be done here.
    """

    order = pyblish.api.CollectorOrder - 0.2
    # Keep "filesequence" for backwards compatibility of older jobs
    targets = ["filesequence", "farm"]
    label = "Collect rendered frames"

    _context = None

    def _load_json(self, path):
        path = path.strip('\"')
        assert os.path.isfile(path), (
            "Path to json file doesn't exist. \"{}\"".format(path)
        )
        data = None
        with open(path, "r") as json_file:
            try:
                data = json.load(json_file)
            except Exception as exc:
                self.log.error(
                    "Error loading json: "
                    "{} - Exception: {}".format(path, exc)
                )
        return data

    def _fill_staging_dir(self, data_object, anatomy):
        staging_dir = data_object.get("stagingDir")
        if staging_dir:
            data_object["stagingDir"] = anatomy.fill_root(staging_dir)

    def _process_path(self, data, anatomy):
        # validate basic necessary data
        data_err = "invalid json file - missing data"
        required = ["asset", "user", "comment",
                    "job", "instances", "session", "version"]
        assert all(elem in data.keys() for elem in required), data_err

        # set context by first json file
        ctx = self._context.data

        ctx["asset"] = ctx.get("asset") or data.get("asset")
        ctx["intent"] = ctx.get("intent") or data.get("intent")
        ctx["comment"] = ctx.get("comment") or data.get("comment")
        ctx["user"] = ctx.get("user") or data.get("user")
        ctx["version"] = ctx.get("version") or data.get("version")

        # basic sanity check to see if we are working in same context
        # if some other json file has different context, bail out.
        ctx_err = "inconsistent contexts in json files - %s"
        assert ctx.get("asset") == data.get("asset"), ctx_err % "asset"
        assert ctx.get("intent") == data.get("intent"), ctx_err % "intent"
        assert ctx.get("comment") == data.get("comment"), ctx_err % "comment"
        assert ctx.get("user") == data.get("user"), ctx_err % "user"
        assert ctx.get("version") == data.get("version"), ctx_err % "version"

        # ftrack credentials are passed as environment variables by Deadline
        # to publish job, but Muster doesn't pass them.
        if data.get("ftrack") and not os.environ.get("FTRACK_API_USER"):
            ftrack = data.get("ftrack")
            os.environ["FTRACK_API_USER"] = ftrack["FTRACK_API_USER"]
            os.environ["FTRACK_API_KEY"] = ftrack["FTRACK_API_KEY"]
            os.environ["FTRACK_SERVER"] = ftrack["FTRACK_SERVER"]

        # now we can just add instances from json file and we are done
        for instance_data in data.get("instances"):
            self.log.info("  - processing instance for {}".format(
                instance_data.get("subset")))
            instance = self._context.create_instance(
                instance_data.get("subset")
            )
            self.log.info("Filling stagingDir...")

            self._fill_staging_dir(instance_data, anatomy)
            instance.data.update(instance_data)

            # stash render job id for later validation
            instance.data["render_job_id"] = data.get("job").get("_id")

            representations = []
            for repre_data in instance_data.get("representations") or []:
                self._fill_staging_dir(repre_data, anatomy)
                representations.append(repre_data)

            instance.data["representations"] = representations

            # add audio if in metadata data
            if data.get("audio"):
                instance.data.update({
                    "audio": [{
                        "filename": data.get("audio"),
                        "offset": 0
                    }]
                })
                self.log.info(
                    f"Adding audio to instance: {instance.data['audio']}")

    def process(self, context):
        self._context = context

        if not os.environ.get("OPENPYPE_PUBLISH_DATA"):
            raise KnownPublishError("Missing `OPENPYPE_PUBLISH_DATA`")

        # QUESTION
        #   Do we support (or want support) multiple files in the variable?
        #   - what if they have different context?
        paths = os.environ["OPENPYPE_PUBLISH_DATA"].split(os.pathsep)

        # Using already collected Anatomy
        anatomy = context.data["anatomy"]
        self.log.info("Getting root setting for project \"{}\"".format(
            anatomy.project_name
        ))

        self.log.info("anatomy: {}".format(anatomy.roots))
        try:
            session_is_set = False
            for path in paths:
                path = anatomy.fill_root(path)
                data = self._load_json(path)
                assert data, "failed to load json file"
                if not session_is_set:
                    session_data = data["session"]
                    remapped = anatomy.roots_obj.path_remapper(
                        session_data["AVALON_WORKDIR"]
                    )
                    if remapped:
                        session_data["AVALON_WORKDIR"] = remapped

                    self.log.info("Setting session using data from file")
                    legacy_io.Session.update(session_data)
                    os.environ.update(session_data)
                    session_is_set = True
                self._process_path(data, anatomy)
        except Exception as e:
            self.log.error(e, exc_info=True)
            raise Exception("Error") from e