mirror of
https://github.com/ynput/ayon-core.git
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772 lines
27 KiB
Python
772 lines
27 KiB
Python
import os
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from os.path import getsize
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import logging
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import sys
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import copy
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import clique
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import errno
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import six
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from pymongo import DeleteOne, InsertOne
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import pyblish.api
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from avalon import io
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from avalon.vendor import filelink
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# this is needed until speedcopy for linux is fixed
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if sys.platform == "win32":
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from speedcopy import copyfile
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else:
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from shutil import copyfile
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log = logging.getLogger(__name__)
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class IntegrateAssetNew(pyblish.api.InstancePlugin):
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"""Resolve any dependency issues
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This plug-in resolves any paths which, if not updated might break
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the published file.
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The order of families is important, when working with lookdev you want to
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first publish the texture, update the texture paths in the nodes and then
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publish the shading network. Same goes for file dependent assets.
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Requirements for instance to be correctly integrated
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instance.data['representations'] - must be a list and each member
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must be a dictionary with following data:
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'files': list of filenames for sequence, string for single file.
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Only the filename is allowed, without the folder path.
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'stagingDir': "path/to/folder/with/files"
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'name': representation name (usually the same as extension)
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'ext': file extension
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optional data
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"frameStart"
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"frameEnd"
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'fps'
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"""
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label = "Integrate Asset New"
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order = pyblish.api.IntegratorOrder
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families = ["workfile",
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"pointcache",
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"camera",
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"animation",
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"model",
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"mayaAscii",
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"setdress",
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"layout",
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"ass",
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"vdbcache",
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"scene",
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"vrayproxy",
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"render",
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"prerender",
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"imagesequence",
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"review",
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"rendersetup",
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"rig",
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"plate",
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"look",
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"lut",
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"audio",
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"yetiRig",
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"yeticache",
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"nukenodes",
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"gizmo",
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"source",
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"matchmove",
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"image",
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"source",
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"assembly",
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"fbx",
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"textures",
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"action",
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"harmony.template",
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"harmony.palette",
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"editorial"
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]
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exclude_families = ["clip"]
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db_representation_context_keys = [
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"project", "asset", "task", "subset", "version", "representation",
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"family", "hierarchy", "task", "username"
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]
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default_template_name = "publish"
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template_name_profiles = None
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def process(self, instance):
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if [ef for ef in self.exclude_families
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if instance.data["family"] in ef]:
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return
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self.register(instance)
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self.log.info("Integrating Asset in to the database ...")
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self.log.info("instance.data: {}".format(instance.data))
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if instance.data.get('transfer', True):
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self.integrate(instance)
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def register(self, instance):
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# Required environment variables
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anatomy_data = instance.data["anatomyData"]
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io.install()
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context = instance.context
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project_entity = instance.data["projectEntity"]
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context_asset_name = context.data["assetEntity"]["name"]
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asset_name = instance.data["asset"]
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asset_entity = instance.data.get("assetEntity")
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if not asset_entity or asset_entity["name"] != context_asset_name:
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asset_entity = io.find_one({
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"type": "asset",
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"name": asset_name,
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"parent": project_entity["_id"]
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})
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assert asset_entity, (
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"No asset found by the name \"{0}\" in project \"{1}\""
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).format(asset_name, project_entity["name"])
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instance.data["assetEntity"] = asset_entity
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# update anatomy data with asset specific keys
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# - name should already been set
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hierarchy = ""
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parents = asset_entity["data"]["parents"]
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if parents:
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hierarchy = "/".join(parents)
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anatomy_data["hierarchy"] = hierarchy
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task_name = instance.data.get("task")
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if task_name:
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anatomy_data["task"] = task_name
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anatomy_data["family"] = instance.data.get("family")
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stagingdir = instance.data.get("stagingDir")
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if not stagingdir:
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self.log.info((
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"{0} is missing reference to staging directory."
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" Will try to get it from representation."
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).format(instance))
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else:
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self.log.debug(
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"Establishing staging directory @ {0}".format(stagingdir)
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)
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# Ensure at least one file is set up for transfer in staging dir.
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repres = instance.data.get("representations")
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assert repres, "Instance has no files to transfer"
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assert isinstance(repres, (list, tuple)), (
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"Instance 'files' must be a list, got: {0} {1}".format(
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str(type(repres)), str(repres)
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)
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)
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subset = self.get_subset(asset_entity, instance)
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instance.data["subsetEntity"] = subset
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version_number = instance.data["version"]
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self.log.debug("Next version: v{}".format(version_number))
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version_data = self.create_version_data(context, instance)
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version_data_instance = instance.data.get('versionData')
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if version_data_instance:
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version_data.update(version_data_instance)
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# TODO rename method from `create_version` to
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# `prepare_version` or similar...
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version = self.create_version(
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subset=subset,
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version_number=version_number,
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data=version_data
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)
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self.log.debug("Creating version ...")
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new_repre_names_low = [_repre["name"].lower() for _repre in repres]
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existing_version = io.find_one({
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'type': 'version',
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'parent': subset["_id"],
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'name': version_number
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})
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if existing_version is None:
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version_id = io.insert_one(version).inserted_id
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else:
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# Check if instance have set `append` mode which cause that
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# only replicated representations are set to archive
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append_repres = instance.data.get("append", False)
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# Update version data
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# TODO query by _id and
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io.update_many({
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'type': 'version',
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'parent': subset["_id"],
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'name': version_number
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}, {
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'$set': version
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})
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version_id = existing_version['_id']
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# Find representations of existing version and archive them
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current_repres = list(io.find({
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"type": "representation",
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"parent": version_id
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}))
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bulk_writes = []
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for repre in current_repres:
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if append_repres:
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# archive only duplicated representations
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if repre["name"].lower() not in new_repre_names_low:
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continue
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# Representation must change type,
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# `_id` must be stored to other key and replaced with new
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# - that is because new representations should have same ID
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repre_id = repre["_id"]
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bulk_writes.append(DeleteOne({"_id": repre_id}))
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repre["orig_id"] = repre_id
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repre["_id"] = io.ObjectId()
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repre["type"] = "archived_representation"
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bulk_writes.append(InsertOne(repre))
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# bulk updates
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if bulk_writes:
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io._database[io.Session["AVALON_PROJECT"]].bulk_write(
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bulk_writes
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)
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version = io.find_one({"_id": version_id})
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instance.data["versionEntity"] = version
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existing_repres = list(io.find({
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"parent": version_id,
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"type": "archived_representation"
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}))
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instance.data['version'] = version['name']
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intent_value = instance.context.data.get("intent")
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if intent_value and isinstance(intent_value, dict):
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intent_value = intent_value.get("value")
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if intent_value:
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anatomy_data["intent"] = intent_value
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anatomy = instance.context.data['anatomy']
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# Find the representations to transfer amongst the files
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# Each should be a single representation (as such, a single extension)
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representations = []
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destination_list = []
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if 'transfers' not in instance.data:
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instance.data['transfers'] = []
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template_name = self.template_name_from_instance(instance)
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published_representations = {}
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for idx, repre in enumerate(instance.data["representations"]):
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published_files = []
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# create template data for Anatomy
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template_data = copy.deepcopy(anatomy_data)
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if intent_value is not None:
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template_data["intent"] = intent_value
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resolution_width = repre.get("resolutionWidth")
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resolution_height = repre.get("resolutionHeight")
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fps = instance.data.get("fps")
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if resolution_width:
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template_data["resolution_width"] = resolution_width
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if resolution_width:
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template_data["resolution_height"] = resolution_height
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if resolution_width:
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template_data["fps"] = fps
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files = repre['files']
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if repre.get('stagingDir'):
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stagingdir = repre['stagingDir']
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if repre.get("outputName"):
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template_data["output"] = repre['outputName']
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template = os.path.normpath(
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anatomy.templates[template_name]["path"])
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sequence_repre = isinstance(files, list)
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repre_context = None
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if sequence_repre:
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self.log.debug(
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"files: {}".format(files))
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src_collections, remainder = clique.assemble(files)
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self.log.debug(
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"src_tail_collections: {}".format(str(src_collections)))
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src_collection = src_collections[0]
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# Assert that each member has identical suffix
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src_head = src_collection.format("{head}")
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src_tail = src_collection.format("{tail}")
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# fix dst_padding
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valid_files = [x for x in files if src_collection.match(x)]
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padd_len = len(
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valid_files[0].replace(src_head, "").replace(src_tail, "")
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)
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src_padding_exp = "%0{}d".format(padd_len)
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test_dest_files = list()
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for i in [1, 2]:
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template_data["representation"] = repre['ext']
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template_data["frame"] = src_padding_exp % i
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anatomy_filled = anatomy.format(template_data)
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template_filled = anatomy_filled[template_name]["path"]
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if repre_context is None:
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repre_context = template_filled.used_values
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test_dest_files.append(
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os.path.normpath(template_filled)
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)
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template_data["frame"] = repre_context["frame"]
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self.log.debug(
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"test_dest_files: {}".format(str(test_dest_files)))
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dst_collections, remainder = clique.assemble(test_dest_files)
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dst_collection = dst_collections[0]
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dst_head = dst_collection.format("{head}")
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dst_tail = dst_collection.format("{tail}")
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index_frame_start = None
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if repre.get("frameStart"):
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frame_start_padding = int(
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anatomy.templates["render"].get(
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"frame_padding",
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anatomy.templates["render"].get("padding")
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)
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)
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index_frame_start = int(repre.get("frameStart"))
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# exception for slate workflow
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if index_frame_start and "slate" in instance.data["families"]:
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index_frame_start -= 1
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dst_padding_exp = src_padding_exp
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dst_start_frame = None
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for i in src_collection.indexes:
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# TODO 1.) do not count padding in each index iteration
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# 2.) do not count dst_padding from src_padding before
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# index_frame_start check
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src_padding = src_padding_exp % i
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src_file_name = "{0}{1}{2}".format(
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src_head, src_padding, src_tail)
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dst_padding = src_padding_exp % i
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if index_frame_start:
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dst_padding_exp = "%0{}d".format(frame_start_padding)
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dst_padding = dst_padding_exp % index_frame_start
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index_frame_start += 1
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dst = "{0}{1}{2}".format(
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dst_head,
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dst_padding,
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dst_tail).replace("..", ".")
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self.log.debug("destination: `{}`".format(dst))
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src = os.path.join(stagingdir, src_file_name)
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self.log.debug("source: {}".format(src))
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instance.data["transfers"].append([src, dst])
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published_files.append(dst)
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# for adding first frame into db
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if not dst_start_frame:
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dst_start_frame = dst_padding
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# Store used frame value to template data
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template_data["frame"] = dst_start_frame
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dst = "{0}{1}{2}".format(
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dst_head,
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dst_start_frame,
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dst_tail
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).replace("..", ".")
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repre['published_path'] = dst
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else:
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# Single file
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# _______
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# | |\
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# | |
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# | |
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# | |
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# |_______|
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#
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template_data.pop("frame", None)
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fname = files
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assert not os.path.isabs(fname), (
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"Given file name is a full path"
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)
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template_data["representation"] = repre['ext']
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src = os.path.join(stagingdir, fname)
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anatomy_filled = anatomy.format(template_data)
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template_filled = anatomy_filled[template_name]["path"]
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repre_context = template_filled.used_values
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dst = os.path.normpath(template_filled).replace("..", ".")
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instance.data["transfers"].append([src, dst])
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published_files.append(dst)
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repre['published_path'] = dst
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self.log.debug("__ dst: {}".format(dst))
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repre["publishedFiles"] = published_files
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for key in self.db_representation_context_keys:
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value = template_data.get(key)
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if not value:
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continue
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repre_context[key] = template_data[key]
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# Use previous representation's id if there are any
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repre_id = None
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repre_name_low = repre["name"].lower()
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for _repre in existing_repres:
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# NOTE should we check lowered names?
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if repre_name_low == _repre["name"]:
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repre_id = _repre["orig_id"]
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break
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# Create new id if existing representations does not match
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if repre_id is None:
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repre_id = io.ObjectId()
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representation = {
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"_id": repre_id,
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"schema": "pype:representation-2.0",
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"type": "representation",
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"parent": version_id,
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"name": repre['name'],
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"data": {'path': dst, 'template': template},
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"dependencies": instance.data.get("dependencies", "").split(),
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# Imprint shortcut to context
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# for performance reasons.
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"context": repre_context
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}
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if repre.get("outputName"):
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representation["context"]["output"] = repre['outputName']
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if sequence_repre and repre.get("frameStart"):
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representation['context']['frame'] = (
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dst_padding_exp % int(repre.get("frameStart"))
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)
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self.log.debug("__ representation: {}".format(representation))
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destination_list.append(dst)
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self.log.debug("__ destination_list: {}".format(destination_list))
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instance.data['destination_list'] = destination_list
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representations.append(representation)
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published_representations[repre_id] = {
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"representation": representation,
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"anatomy_data": template_data,
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"published_files": published_files
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}
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self.log.debug("__ representations: {}".format(representations))
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# Remove old representations if there are any (before insertion of new)
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if existing_repres:
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repre_ids_to_remove = []
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for repre in existing_repres:
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repre_ids_to_remove.append(repre["_id"])
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io.delete_many({"_id": {"$in": repre_ids_to_remove}})
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self.log.debug("__ representations: {}".format(representations))
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for rep in instance.data["representations"]:
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self.log.debug("__ represNAME: {}".format(rep['name']))
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self.log.debug("__ represPATH: {}".format(rep['published_path']))
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io.insert_many(representations)
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instance.data["published_representations"] = (
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published_representations
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)
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# self.log.debug("Representation: {}".format(representations))
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self.log.info("Registered {} items".format(len(representations)))
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def integrate(self, instance):
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""" Move the files.
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Through `instance.data["transfers"]`
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Args:
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instance: the instance to integrate
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"""
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transfers = instance.data.get("transfers", list())
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for src, dest in transfers:
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self.copy_file(src, dest)
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# Produce hardlinked copies
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# Note: hardlink can only be produced between two files on the same
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# server/disk and editing one of the two will edit both files at once.
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# As such it is recommended to only make hardlinks between static files
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# to ensure publishes remain safe and non-edited.
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hardlinks = instance.data.get("hardlinks", list())
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for src, dest in hardlinks:
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self.log.debug("Hardlinking file .. {} -> {}".format(src, dest))
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self.hardlink_file(src, dest)
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def copy_file(self, src, dst):
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""" Copy given source to destination
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Arguments:
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src (str): the source file which needs to be copied
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dst (str): the destination of the sourc file
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Returns:
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None
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"""
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src = os.path.normpath(src)
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dst = os.path.normpath(dst)
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self.log.debug("Copying file .. {} -> {}".format(src, dst))
|
|
dirname = os.path.dirname(dst)
|
|
try:
|
|
os.makedirs(dirname)
|
|
except OSError as e:
|
|
if e.errno == errno.EEXIST:
|
|
pass
|
|
else:
|
|
self.log.critical("An unexpected error occurred.")
|
|
raise
|
|
|
|
# copy file with speedcopy and check if size of files are simetrical
|
|
while True:
|
|
import shutil
|
|
try:
|
|
copyfile(src, dst)
|
|
except shutil.SameFileError as sfe:
|
|
self.log.critical("files are the same {} to {}".format(src, dst))
|
|
os.remove(dst)
|
|
try:
|
|
shutil.copyfile(src, dst)
|
|
self.log.debug("Copying files with shutil...")
|
|
except (OSError) as e:
|
|
self.log.critical("Cannot copy {} to {}".format(src, dst))
|
|
self.log.critical(e)
|
|
six.reraise(*sys.exc_info())
|
|
if str(getsize(src)) in str(getsize(dst)):
|
|
break
|
|
|
|
def hardlink_file(self, src, dst):
|
|
dirname = os.path.dirname(dst)
|
|
|
|
try:
|
|
os.makedirs(dirname)
|
|
except OSError as e:
|
|
if e.errno == errno.EEXIST:
|
|
pass
|
|
else:
|
|
self.log.critical("An unexpected error occurred.")
|
|
raise
|
|
|
|
filelink.create(src, dst, filelink.HARDLINK)
|
|
|
|
def get_subset(self, asset, instance):
|
|
subset_name = instance.data["subset"]
|
|
subset = io.find_one({
|
|
"type": "subset",
|
|
"parent": asset["_id"],
|
|
"name": subset_name
|
|
})
|
|
|
|
if subset is None:
|
|
self.log.info("Subset '%s' not found, creating.." % subset_name)
|
|
self.log.debug("families. %s" % instance.data.get('families'))
|
|
self.log.debug(
|
|
"families. %s" % type(instance.data.get('families')))
|
|
|
|
_id = io.insert_one({
|
|
"schema": "pype:subset-3.0",
|
|
"type": "subset",
|
|
"name": subset_name,
|
|
"data": {
|
|
"families": instance.data.get("families", [])
|
|
},
|
|
"parent": asset["_id"]
|
|
}).inserted_id
|
|
|
|
subset = io.find_one({"_id": _id})
|
|
|
|
# add group if available
|
|
if instance.data.get("subsetGroup"):
|
|
io.update_many({
|
|
'type': 'subset',
|
|
'_id': io.ObjectId(subset["_id"])
|
|
}, {'$set': {'data.subsetGroup':
|
|
instance.data.get('subsetGroup')}}
|
|
)
|
|
|
|
return subset
|
|
|
|
def create_version(self, subset, version_number, data=None):
|
|
""" Copy given source to destination
|
|
|
|
Args:
|
|
subset (dict): the registered subset of the asset
|
|
version_number (int): the version number
|
|
|
|
Returns:
|
|
dict: collection of data to create a version
|
|
"""
|
|
|
|
return {"schema": "pype:version-3.0",
|
|
"type": "version",
|
|
"parent": subset["_id"],
|
|
"name": version_number,
|
|
"data": data}
|
|
|
|
def create_version_data(self, context, instance):
|
|
"""Create the data collection for the version
|
|
|
|
Args:
|
|
context: the current context
|
|
instance: the current instance being published
|
|
|
|
Returns:
|
|
dict: the required information with instance.data as key
|
|
"""
|
|
|
|
families = []
|
|
current_families = instance.data.get("families", list())
|
|
instance_family = instance.data.get("family", None)
|
|
|
|
if instance_family is not None:
|
|
families.append(instance_family)
|
|
families += current_families
|
|
|
|
# create relative source path for DB
|
|
if "source" in instance.data:
|
|
source = instance.data["source"]
|
|
else:
|
|
source = context.data["currentFile"]
|
|
anatomy = instance.context.data["anatomy"]
|
|
success, rootless_path = (
|
|
anatomy.find_root_template_from_path(source)
|
|
)
|
|
if success:
|
|
source = rootless_path
|
|
else:
|
|
self.log.warning((
|
|
"Could not find root path for remapping \"{}\"."
|
|
" This may cause issues on farm."
|
|
).format(source))
|
|
|
|
self.log.debug("Source: {}".format(source))
|
|
version_data = {
|
|
"families": families,
|
|
"time": context.data["time"],
|
|
"author": context.data["user"],
|
|
"source": source,
|
|
"comment": context.data.get("comment"),
|
|
"machine": context.data.get("machine"),
|
|
"fps": context.data.get(
|
|
"fps", instance.data.get("fps")
|
|
)
|
|
}
|
|
|
|
intent_value = instance.context.data.get("intent")
|
|
if intent_value and isinstance(intent_value, dict):
|
|
intent_value = intent_value.get("value")
|
|
|
|
if intent_value:
|
|
version_data["intent"] = intent_value
|
|
|
|
# Include optional data if present in
|
|
optionals = [
|
|
"frameStart", "frameEnd", "step", "handles",
|
|
"handleEnd", "handleStart", "sourceHashes"
|
|
]
|
|
for key in optionals:
|
|
if key in instance.data:
|
|
version_data[key] = instance.data[key]
|
|
|
|
return version_data
|
|
|
|
def main_family_from_instance(self, instance):
|
|
"""Returns main family of entered instance."""
|
|
family = instance.data.get("family")
|
|
if not family:
|
|
family = instance.data["families"][0]
|
|
return family
|
|
|
|
def template_name_from_instance(self, instance):
|
|
template_name = self.default_template_name
|
|
if not self.template_name_profiles:
|
|
self.log.debug((
|
|
"Template name profiles are not set."
|
|
" Using default \"{}\""
|
|
).format(template_name))
|
|
return template_name
|
|
|
|
# Task name from session?
|
|
task_name = io.Session.get("AVALON_TASK")
|
|
family = self.main_family_from_instance(instance)
|
|
|
|
matching_profiles = {}
|
|
highest_value = -1
|
|
self.log.info(self.template_name_profiles)
|
|
for name, filters in self.template_name_profiles.items():
|
|
value = 0
|
|
families = filters.get("families")
|
|
if families:
|
|
if family not in families:
|
|
continue
|
|
value += 1
|
|
|
|
tasks = filters.get("tasks")
|
|
if tasks:
|
|
if task_name not in tasks:
|
|
continue
|
|
value += 1
|
|
|
|
if value > highest_value:
|
|
matching_profiles = {}
|
|
highest_value = value
|
|
|
|
if value == highest_value:
|
|
matching_profiles[name] = filters
|
|
|
|
if len(matching_profiles) == 1:
|
|
template_name = tuple(matching_profiles.keys())[0]
|
|
self.log.debug(
|
|
"Using template name \"{}\".".format(template_name)
|
|
)
|
|
|
|
elif len(matching_profiles) > 1:
|
|
template_name = tuple(matching_profiles.keys())[0]
|
|
self.log.warning((
|
|
"More than one template profiles matched"
|
|
" Family \"{}\" and Task: \"{}\"."
|
|
" Using first template name in row \"{}\"."
|
|
).format(family, task_name, template_name))
|
|
|
|
else:
|
|
self.log.debug((
|
|
"None of template profiles matched"
|
|
" Family \"{}\" and Task: \"{}\"."
|
|
" Using default template name \"{}\""
|
|
).format(family, task_name, template_name))
|
|
|
|
return template_name
|