mirror of
https://github.com/ynput/ayon-core.git
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1028 lines
35 KiB
Python
1028 lines
35 KiB
Python
import os
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import re
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import json
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import collections
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import logging
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import itertools
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import contextlib
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import subprocess
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from avalon import io, pipeline
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import avalon.api
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from ..api import config
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log = logging.getLogger(__name__)
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def get_paths_from_environ(env_key, return_first=False):
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"""Return existing paths from specific envirnment variable.
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:param env_key: Environment key where should look for paths.
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:type env_key: str
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:param return_first: Return first path on `True`, list of all on `False`.
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:type return_first: boolean
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Difference when none of paths exists:
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- when `return_first` is set to `False` then function returns empty list.
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- when `return_first` is set to `True` then function returns `None`.
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"""
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existing_paths = []
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paths = os.environ.get(env_key) or ""
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path_items = paths.split(os.pathsep)
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for path in path_items:
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# Skip empty string
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if not path:
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continue
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# Normalize path
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path = os.path.normpath(path)
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# Check if path exists
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if os.path.exists(path):
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# Return path if `return_first` is set to True
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if return_first:
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return path
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# Store path
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existing_paths.append(path)
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# Return None if none of paths exists
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if return_first:
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return None
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# Return all existing paths from environment variable
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return existing_paths
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def get_ffmpeg_tool_path(tool="ffmpeg"):
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"""Find path to ffmpeg tool in FFMPEG_PATH paths.
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Function looks for tool in paths set in FFMPEG_PATH environment. If tool
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exists then returns it's full path.
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Returns tool name itself when tool path was not found. (FFmpeg path may be
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set in PATH environment variable)
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"""
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dir_paths = get_paths_from_environ("FFMPEG_PATH")
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for dir_path in dir_paths:
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for file_name in os.listdir(dir_path):
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base, ext = os.path.splitext(file_name)
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if base.lower() == tool.lower():
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return os.path.join(dir_path, tool)
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return tool
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# Special naming case for subprocess since its a built-in method.
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def _subprocess(*args, **kwargs):
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"""Convenience method for getting output errors for subprocess.
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Entered arguments and keyword arguments are passed to subprocess Popen.
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Args:
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*args: Variable length arument list passed to Popen.
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**kwargs : Arbitary keyword arguments passed to Popen. Is possible to
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pass `logging.Logger` object under "logger" if want to use
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different than lib's logger.
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Returns:
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str: Full output of subprocess concatenated stdout and stderr.
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Raises:
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RuntimeError: Exception is raised if process finished with nonzero
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return code.
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"""
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# Get environents from kwarg or use current process environments if were
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# not passed.
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env = kwargs.get("env") or os.environ
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# Make sure environment contains only strings
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filtered_env = {k: str(v) for k, v in env.items()}
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# Use lib's logger if was not passed with kwargs.
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logger = kwargs.pop("logger", log)
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# set overrides
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kwargs['stdout'] = kwargs.get('stdout', subprocess.PIPE)
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kwargs['stderr'] = kwargs.get('stderr', subprocess.PIPE)
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kwargs['stdin'] = kwargs.get('stdin', subprocess.PIPE)
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kwargs['env'] = filtered_env
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proc = subprocess.Popen(*args, **kwargs)
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full_output = ""
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_stdout, _stderr = proc.communicate()
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if _stdout:
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_stdout = _stdout.decode("utf-8")
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full_output += _stdout
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logger.debug(_stdout)
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if _stderr:
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_stderr = _stderr.decode("utf-8")
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# Add additional line break if output already containt stdout
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if full_output:
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full_output += "\n"
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full_output += _stderr
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logger.warning(_stderr)
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if proc.returncode != 0:
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exc_msg = "Executing arguments was not successful: \"{}\"".format(args)
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if _stdout:
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exc_msg += "\n\nOutput:\n{}".format(_stdout)
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if _stderr:
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exc_msg += "Error:\n{}".format(_stderr)
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raise RuntimeError(exc_msg)
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return full_output
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def add_tool_to_environment(tools):
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"""
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It is adding dynamic environment to os environment.
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Args:
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tool (list, tuple): list of tools, name should corespond to json/toml
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Returns:
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os.environ[KEY]: adding to os.environ
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"""
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import acre
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tools_env = acre.get_tools(tools)
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env = acre.compute(tools_env)
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env = acre.merge(env, current_env=dict(os.environ))
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os.environ.update(env)
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@contextlib.contextmanager
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def modified_environ(*remove, **update):
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"""
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Temporarily updates the ``os.environ`` dictionary in-place.
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The ``os.environ`` dictionary is updated in-place so that the modification
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is sure to work in all situations.
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:param remove: Environment variables to remove.
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:param update: Dictionary of environment variables
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and values to add/update.
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"""
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env = os.environ
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update = update or {}
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remove = remove or []
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# List of environment variables being updated or removed.
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stomped = (set(update.keys()) | set(remove)) & set(env.keys())
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# Environment variables and values to restore on exit.
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update_after = {k: env[k] for k in stomped}
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# Environment variables and values to remove on exit.
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remove_after = frozenset(k for k in update if k not in env)
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try:
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env.update(update)
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[env.pop(k, None) for k in remove]
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yield
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finally:
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env.update(update_after)
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[env.pop(k) for k in remove_after]
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def pairwise(iterable):
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"""s -> (s0,s1), (s2,s3), (s4, s5), ..."""
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a = iter(iterable)
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return itertools.izip(a, a)
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def grouper(iterable, n, fillvalue=None):
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"""Collect data into fixed-length chunks or blocks
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Examples:
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grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx
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"""
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args = [iter(iterable)] * n
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return itertools.izip_longest(fillvalue=fillvalue, *args)
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def _rreplace(s, a, b, n=1):
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"""Replace a with b in string s from right side n times"""
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return b.join(s.rsplit(a, n))
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def version_up(filepath):
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"""Version up filepath to a new non-existing version.
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Parses for a version identifier like `_v001` or `.v001`
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When no version present _v001 is appended as suffix.
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Returns:
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str: filepath with increased version number
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"""
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dirname = os.path.dirname(filepath)
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basename, ext = os.path.splitext(os.path.basename(filepath))
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regex = r"[._]v\d+"
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matches = re.findall(regex, str(basename), re.IGNORECASE)
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if not matches:
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log.info("Creating version...")
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new_label = "_v{version:03d}".format(version=1)
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new_basename = "{}{}".format(basename, new_label)
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else:
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label = matches[-1]
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version = re.search(r"\d+", label).group()
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padding = len(version)
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new_version = int(version) + 1
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new_version = '{version:0{padding}d}'.format(version=new_version,
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padding=padding)
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new_label = label.replace(version, new_version, 1)
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new_basename = _rreplace(basename, label, new_label)
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if not new_basename.endswith(new_label):
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index = (new_basename.find(new_label))
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index += len(new_label)
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new_basename = new_basename[:index]
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new_filename = "{}{}".format(new_basename, ext)
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new_filename = os.path.join(dirname, new_filename)
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new_filename = os.path.normpath(new_filename)
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if new_filename == filepath:
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raise RuntimeError("Created path is the same as current file,"
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"this is a bug")
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for file in os.listdir(dirname):
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if file.endswith(ext) and file.startswith(new_basename):
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log.info("Skipping existing version %s" % new_label)
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return version_up(new_filename)
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log.info("New version %s" % new_label)
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return new_filename
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def _get_host_name():
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_host = avalon.api.registered_host()
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# This covers nested module name like avalon.maya
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return _host.__name__.rsplit(".", 1)[-1]
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def get_version_from_path(file):
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"""
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Finds version number in file path string
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Args:
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file (string): file path
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Returns:
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v: version number in string ('001')
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"""
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pattern = re.compile(r"[\._]v([0-9]+)", re.IGNORECASE)
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try:
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return pattern.findall(file)[0]
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except IndexError:
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log.error(
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"templates:get_version_from_workfile:"
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"`{}` missing version string."
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"Example `v004`".format(file)
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)
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def get_last_version_from_path(path_dir, filter):
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"""
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Finds last version of given directory content
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Args:
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path_dir (string): directory path
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filter (list): list of strings used as file name filter
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Returns:
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string: file name with last version
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Example:
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last_version_file = get_last_version_from_path(
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"/project/shots/shot01/work", ["shot01", "compositing", "nk"])
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"""
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assert os.path.isdir(path_dir), "`path_dir` argument needs to be directory"
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assert isinstance(filter, list) and (
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len(filter) != 0), "`filter` argument needs to be list and not empty"
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filtred_files = list()
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# form regex for filtering
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patern = r".*".join(filter)
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for f in os.listdir(path_dir):
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if not re.findall(patern, f):
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continue
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filtred_files.append(f)
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if filtred_files:
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sorted(filtred_files)
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return filtred_files[-1]
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else:
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return None
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class BuildWorkfile:
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"""Wrapper for build workfile process.
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Load representations for current context by build presets. Build presets
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are host related, since each host has it's loaders.
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"""
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log = logging.getLogger("BuildWorkfile")
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@staticmethod
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def map_subsets_by_family(subsets):
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subsets_by_family = collections.defaultdict(list)
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for subset in subsets:
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family = subset["data"].get("family")
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if not family:
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families = subset["data"].get("families")
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if not families:
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continue
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family = families[0]
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subsets_by_family[family].append(subset)
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return subsets_by_family
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def process(self):
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"""Main method of this wrapper.
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Building of workfile is triggered and is possible to implement
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post processing of loaded containers if necessary.
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"""
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containers = self.build_workfile()
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return containers
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def build_workfile(self):
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"""Prepares and load containers into workfile.
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Loads latest versions of current and linked assets to workfile by logic
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stored in Workfile profiles from presets. Profiles are set by host,
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filtered by current task name and used by families.
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Each family can specify representation names and loaders for
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representations and first available and successful loaded
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representation is returned as container.
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At the end you'll get list of loaded containers per each asset.
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loaded_containers [{
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"asset_entity": <AssetEntity1>,
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"containers": [<Container1>, <Container2>, ...]
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}, {
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"asset_entity": <AssetEntity2>,
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"containers": [<Container3>, ...]
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}, {
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...
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}]
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"""
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# Get current asset name and entity
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current_asset_name = io.Session["AVALON_ASSET"]
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current_asset_entity = io.find_one({
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"type": "asset",
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"name": current_asset_name
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})
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# Skip if asset was not found
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if not current_asset_entity:
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print("Asset entity with name `{}` was not found".format(
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current_asset_name
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))
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return
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# Prepare available loaders
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loaders_by_name = {}
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for loader in avalon.api.discover(avalon.api.Loader):
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loader_name = loader.__name__
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if loader_name in loaders_by_name:
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raise KeyError(
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"Duplicated loader name {0}!".format(loader_name)
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)
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loaders_by_name[loader_name] = loader
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# Skip if there are any loaders
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if not loaders_by_name:
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self.log.warning("There are no registered loaders.")
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return
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# Get current task name
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current_task_name = io.Session["AVALON_TASK"]
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# Load workfile presets for task
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self.build_presets = self.get_build_presets(current_task_name)
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# Skip if there are any presets for task
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if not self.build_presets:
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self.log.warning(
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"Current task `{}` does not have any loading preset.".format(
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current_task_name
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)
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)
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return
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# Get presets for loading current asset
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current_context_profiles = self.build_presets.get("current_context")
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# Get presets for loading linked assets
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link_context_profiles = self.build_presets.get("linked_assets")
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# Skip if both are missing
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if not current_context_profiles and not link_context_profiles:
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self.log.warning(
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"Current task `{}` has empty loading preset.".format(
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current_task_name
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)
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)
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return
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elif not current_context_profiles:
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self.log.warning((
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"Current task `{}` doesn't have any loading"
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" preset for it's context."
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).format(current_task_name))
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elif not link_context_profiles:
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self.log.warning((
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"Current task `{}` doesn't have any"
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"loading preset for it's linked assets."
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).format(current_task_name))
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# Prepare assets to process by workfile presets
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assets = []
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current_asset_id = None
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if current_context_profiles:
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# Add current asset entity if preset has current context set
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assets.append(current_asset_entity)
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current_asset_id = current_asset_entity["_id"]
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if link_context_profiles:
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# Find and append linked assets if preset has set linked mapping
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link_assets = get_linked_assets(current_asset_entity)
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if link_assets:
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assets.extend(link_assets)
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# Skip if there are no assets. This can happen if only linked mapping
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# is set and there are no links for his asset.
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if not assets:
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self.log.warning(
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"Asset does not have linked assets. Nothing to process."
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)
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return
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# Prepare entities from database for assets
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prepared_entities = self._collect_last_version_repres(assets)
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# Load containers by prepared entities and presets
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loaded_containers = []
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# - Current asset containers
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if current_asset_id and current_asset_id in prepared_entities:
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current_context_data = prepared_entities.pop(current_asset_id)
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loaded_data = self.load_containers_by_asset_data(
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current_context_data, current_context_profiles, loaders_by_name
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)
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if loaded_data:
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loaded_containers.append(loaded_data)
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# - Linked assets container
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for linked_asset_data in prepared_entities.values():
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loaded_data = self.load_containers_by_asset_data(
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linked_asset_data, link_context_profiles, loaders_by_name
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)
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if loaded_data:
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loaded_containers.append(loaded_data)
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# Return list of loaded containers
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return loaded_containers
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|
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def get_build_presets(self, task_name):
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""" Returns presets to build workfile for task name.
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Presets are loaded for current project set in
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io.Session["AVALON_PROJECT"], filtered by registered host
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and entered task name.
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:param task_name: Task name used for filtering build presets.
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:type task_name: str
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:return: preset per eneter task
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:rtype: dict | None
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"""
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host_name = avalon.api.registered_host().__name__.rsplit(".", 1)[-1]
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presets = config.get_presets(io.Session["AVALON_PROJECT"])
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# Get presets for host
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build_presets = (
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presets["plugins"]
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.get(host_name, {})
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.get("workfile_build")
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)
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if not build_presets:
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return
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task_name_low = task_name.lower()
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per_task_preset = None
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for preset in build_presets:
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preset_tasks = preset.get("tasks") or []
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preset_tasks_low = [task.lower() for task in preset_tasks]
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if task_name_low in preset_tasks_low:
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per_task_preset = preset
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break
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return per_task_preset
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|
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def _filter_build_profiles(self, build_profiles, loaders_by_name):
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""" Filter build profiles by loaders and prepare process data.
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|
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Valid profile must have "loaders", "families" and "repre_names" keys
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with valid values.
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- "loaders" expects list of strings representing possible loaders.
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- "families" expects list of strings for filtering
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by main subset family.
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|
- "repre_names" expects list of strings for filtering by
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representation name.
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|
Lowered "families" and "repre_names" are prepared for each profile with
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all required keys.
|
|
|
|
:param build_profiles: Profiles for building workfile.
|
|
:type build_profiles: dict
|
|
:param loaders_by_name: Available loaders per name.
|
|
:type loaders_by_name: dict
|
|
:return: Filtered and prepared profiles.
|
|
:rtype: list
|
|
"""
|
|
valid_profiles = []
|
|
for profile in build_profiles:
|
|
# Check loaders
|
|
profile_loaders = profile.get("loaders")
|
|
if not profile_loaders:
|
|
self.log.warning((
|
|
"Build profile has missing loaders configuration: {0}"
|
|
).format(json.dumps(profile, indent=4)))
|
|
continue
|
|
|
|
# Check if any loader is available
|
|
loaders_match = False
|
|
for loader_name in profile_loaders:
|
|
if loader_name in loaders_by_name:
|
|
loaders_match = True
|
|
break
|
|
|
|
if not loaders_match:
|
|
self.log.warning((
|
|
"All loaders from Build profile are not available: {0}"
|
|
).format(json.dumps(profile, indent=4)))
|
|
continue
|
|
|
|
# Check families
|
|
profile_families = profile.get("families")
|
|
if not profile_families:
|
|
self.log.warning((
|
|
"Build profile is missing families configuration: {0}"
|
|
).format(json.dumps(profile, indent=4)))
|
|
continue
|
|
|
|
# Check representation names
|
|
profile_repre_names = profile.get("repre_names")
|
|
if not profile_repre_names:
|
|
self.log.warning((
|
|
"Build profile is missing"
|
|
" representation names filtering: {0}"
|
|
).format(json.dumps(profile, indent=4)))
|
|
continue
|
|
|
|
# Prepare lowered families and representation names
|
|
profile["families_lowered"] = [
|
|
fam.lower() for fam in profile_families
|
|
]
|
|
profile["repre_names_lowered"] = [
|
|
name.lower() for name in profile_repre_names
|
|
]
|
|
|
|
valid_profiles.append(profile)
|
|
|
|
return valid_profiles
|
|
|
|
def _prepare_profile_for_subsets(self, subsets, profiles):
|
|
"""Select profile for each subset byt it's data.
|
|
|
|
Profiles are filtered for each subset individually.
|
|
Profile is filtered by subset's family, optionally by name regex and
|
|
representation names set in profile.
|
|
It is possible to not find matching profile for subset, in that case
|
|
subset is skipped and it is possible that none of subsets have
|
|
matching profile.
|
|
|
|
:param subsets: Subset documents.
|
|
:type subsets: list
|
|
:param profiles: Build profiles.
|
|
:type profiles: dict
|
|
:return: Profile by subset's id.
|
|
:rtype: dict
|
|
"""
|
|
# Prepare subsets
|
|
subsets_by_family = self.map_subsets_by_family(subsets)
|
|
|
|
profiles_per_subset_id = {}
|
|
for family, subsets in subsets_by_family.items():
|
|
family_low = family.lower()
|
|
for profile in profiles:
|
|
# Skip profile if does not contain family
|
|
if family_low not in profile["families_lowered"]:
|
|
continue
|
|
|
|
# Precompile name filters as regexes
|
|
profile_regexes = profile.get("subset_name_filters")
|
|
if profile_regexes:
|
|
_profile_regexes = []
|
|
for regex in profile_regexes:
|
|
_profile_regexes.append(re.compile(regex))
|
|
profile_regexes = _profile_regexes
|
|
|
|
# TODO prepare regex compilation
|
|
for subset in subsets:
|
|
# Verify regex filtering (optional)
|
|
if profile_regexes:
|
|
valid = False
|
|
for pattern in profile_regexes:
|
|
if re.match(pattern, subset["name"]):
|
|
valid = True
|
|
break
|
|
|
|
if not valid:
|
|
continue
|
|
|
|
profiles_per_subset_id[subset["_id"]] = profile
|
|
|
|
# break profiles loop on finding the first matching profile
|
|
break
|
|
return profiles_per_subset_id
|
|
|
|
def load_containers_by_asset_data(
|
|
self, asset_entity_data, build_profiles, loaders_by_name
|
|
):
|
|
"""Load containers for entered asset entity by Build profiles.
|
|
|
|
:param asset_entity_data: Prepared data with subsets, last version
|
|
and representations for specific asset.
|
|
:type asset_entity_data: dict
|
|
:param build_profiles: Build profiles.
|
|
:type build_profiles: dict
|
|
:param loaders_by_name: Available loaders per name.
|
|
:type loaders_by_name: dict
|
|
:return: Output contains asset document and loaded containers.
|
|
:rtype: dict
|
|
"""
|
|
|
|
# Make sure all data are not empty
|
|
if not asset_entity_data or not build_profiles or not loaders_by_name:
|
|
return
|
|
|
|
asset_entity = asset_entity_data["asset_entity"]
|
|
|
|
valid_profiles = self._filter_build_profiles(
|
|
build_profiles, loaders_by_name
|
|
)
|
|
if not valid_profiles:
|
|
self.log.warning(
|
|
"There are not valid Workfile profiles. Skipping process."
|
|
)
|
|
return
|
|
|
|
self.log.debug("Valid Workfile profiles: {}".format(valid_profiles))
|
|
|
|
subsets_by_id = {}
|
|
version_by_subset_id = {}
|
|
repres_by_version_id = {}
|
|
for subset_id, in_data in asset_entity_data["subsets"].items():
|
|
subset_entity = in_data["subset_entity"]
|
|
subsets_by_id[subset_entity["_id"]] = subset_entity
|
|
|
|
version_data = in_data["version"]
|
|
version_entity = version_data["version_entity"]
|
|
version_by_subset_id[subset_id] = version_entity
|
|
repres_by_version_id[version_entity["_id"]] = (
|
|
version_data["repres"]
|
|
)
|
|
|
|
if not subsets_by_id:
|
|
self.log.warning("There are not subsets for asset {0}".format(
|
|
asset_entity["name"]
|
|
))
|
|
return
|
|
|
|
profiles_per_subset_id = self._prepare_profile_for_subsets(
|
|
subsets_by_id.values(), valid_profiles
|
|
)
|
|
if not profiles_per_subset_id:
|
|
self.log.warning("There are not valid subsets.")
|
|
return
|
|
|
|
valid_repres_by_subset_id = collections.defaultdict(list)
|
|
for subset_id, profile in profiles_per_subset_id.items():
|
|
profile_repre_names = profile["repre_names_lowered"]
|
|
|
|
version_entity = version_by_subset_id[subset_id]
|
|
version_id = version_entity["_id"]
|
|
repres = repres_by_version_id[version_id]
|
|
for repre in repres:
|
|
repre_name_low = repre["name"].lower()
|
|
if repre_name_low in profile_repre_names:
|
|
valid_repres_by_subset_id[subset_id].append(repre)
|
|
|
|
# DEBUG message
|
|
msg = "Valid representations for Asset: `{}`".format(
|
|
asset_entity["name"]
|
|
)
|
|
for subset_id, repres in valid_repres_by_subset_id.items():
|
|
subset = subsets_by_id[subset_id]
|
|
msg += "\n# Subset Name/ID: `{}`/{}".format(
|
|
subset["name"], subset_id
|
|
)
|
|
for repre in repres:
|
|
msg += "\n## Repre name: `{}`".format(repre["name"])
|
|
|
|
self.log.debug(msg)
|
|
|
|
containers = self._load_containers(
|
|
valid_repres_by_subset_id, subsets_by_id,
|
|
profiles_per_subset_id, loaders_by_name
|
|
)
|
|
|
|
return {
|
|
"asset_entity": asset_entity,
|
|
"containers": containers
|
|
}
|
|
|
|
def _load_containers(
|
|
self, repres_by_subset_id, subsets_by_id,
|
|
profiles_per_subset_id, loaders_by_name
|
|
):
|
|
"""Real load by collected data happens here.
|
|
|
|
Loading of representations per subset happens here. Each subset can
|
|
loads one representation. Loading is tried in specific order.
|
|
Representations are tried to load by names defined in configuration.
|
|
If subset has representation matching representation name each loader
|
|
is tried to load it until any is successful. If none of them was
|
|
successful then next reprensentation name is tried.
|
|
Subset process loop ends when any representation is loaded or
|
|
all matching representations were already tried.
|
|
|
|
:param repres_by_subset_id: Available representations mapped
|
|
by their parent (subset) id.
|
|
:type repres_by_subset_id: dict
|
|
:param subsets_by_id: Subset documents mapped by their id.
|
|
:type subsets_by_id: dict
|
|
:param profiles_per_subset_id: Build profiles mapped by subset id.
|
|
:type profiles_per_subset_id: dict
|
|
:param loaders_by_name: Available loaders per name.
|
|
:type loaders_by_name: dict
|
|
:return: Objects of loaded containers.
|
|
:rtype: list
|
|
"""
|
|
loaded_containers = []
|
|
|
|
# Get subset id order from build presets.
|
|
build_presets = self.build_presets.get("current_context", [])
|
|
build_presets += self.build_presets.get("linked_assets", [])
|
|
subset_ids_ordered = []
|
|
for preset in build_presets:
|
|
for preset_family in preset["families"]:
|
|
for id, subset in subsets_by_id.items():
|
|
if preset_family not in subset["data"].get("families", []):
|
|
continue
|
|
|
|
subset_ids_ordered.append(id)
|
|
|
|
# Order representations from subsets.
|
|
print("repres_by_subset_id", repres_by_subset_id)
|
|
representations_ordered = []
|
|
representations = []
|
|
for id in subset_ids_ordered:
|
|
for subset_id, repres in repres_by_subset_id.items():
|
|
if repres in representations:
|
|
continue
|
|
|
|
if id == subset_id:
|
|
representations_ordered.append((subset_id, repres))
|
|
representations.append(repres)
|
|
|
|
print("representations", representations)
|
|
|
|
# Load ordered reprensentations.
|
|
for subset_id, repres in representations_ordered:
|
|
subset_name = subsets_by_id[subset_id]["name"]
|
|
|
|
profile = profiles_per_subset_id[subset_id]
|
|
loaders_last_idx = len(profile["loaders"]) - 1
|
|
repre_names_last_idx = len(profile["repre_names_lowered"]) - 1
|
|
|
|
repre_by_low_name = {
|
|
repre["name"].lower(): repre for repre in repres
|
|
}
|
|
|
|
is_loaded = False
|
|
for repre_name_idx, profile_repre_name in enumerate(
|
|
profile["repre_names_lowered"]
|
|
):
|
|
# Break iteration if representation was already loaded
|
|
if is_loaded:
|
|
break
|
|
|
|
repre = repre_by_low_name.get(profile_repre_name)
|
|
if not repre:
|
|
continue
|
|
|
|
for loader_idx, loader_name in enumerate(profile["loaders"]):
|
|
if is_loaded:
|
|
break
|
|
|
|
loader = loaders_by_name.get(loader_name)
|
|
if not loader:
|
|
continue
|
|
try:
|
|
container = avalon.api.load(
|
|
loader,
|
|
repre["_id"],
|
|
name=subset_name
|
|
)
|
|
loaded_containers.append(container)
|
|
is_loaded = True
|
|
|
|
except Exception as exc:
|
|
if exc == pipeline.IncompatibleLoaderError:
|
|
self.log.info((
|
|
"Loader `{}` is not compatible with"
|
|
" representation `{}`"
|
|
).format(loader_name, repre["name"]))
|
|
|
|
else:
|
|
self.log.error(
|
|
"Unexpected error happened during loading",
|
|
exc_info=True
|
|
)
|
|
|
|
msg = "Loading failed."
|
|
if loader_idx < loaders_last_idx:
|
|
msg += " Trying next loader."
|
|
elif repre_name_idx < repre_names_last_idx:
|
|
msg += (
|
|
" Loading of subset `{}` was not successful."
|
|
).format(subset_name)
|
|
else:
|
|
msg += " Trying next representation."
|
|
self.log.info(msg)
|
|
|
|
return loaded_containers
|
|
|
|
def _collect_last_version_repres(self, asset_entities):
|
|
"""Collect subsets, versions and representations for asset_entities.
|
|
|
|
:param asset_entities: Asset entities for which want to find data
|
|
:type asset_entities: list
|
|
:return: collected entities
|
|
:rtype: dict
|
|
|
|
Example output:
|
|
```
|
|
{
|
|
{Asset ID}: {
|
|
"asset_entity": <AssetEntity>,
|
|
"subsets": {
|
|
{Subset ID}: {
|
|
"subset_entity": <SubsetEntity>,
|
|
"version": {
|
|
"version_entity": <VersionEntity>,
|
|
"repres": [
|
|
<RepreEntity1>, <RepreEntity2>, ...
|
|
]
|
|
}
|
|
},
|
|
...
|
|
}
|
|
},
|
|
...
|
|
}
|
|
output[asset_id]["subsets"][subset_id]["version"]["repres"]
|
|
```
|
|
"""
|
|
|
|
if not asset_entities:
|
|
return {}
|
|
|
|
asset_entity_by_ids = {asset["_id"]: asset for asset in asset_entities}
|
|
|
|
subsets = list(io.find({
|
|
"type": "subset",
|
|
"parent": {"$in": asset_entity_by_ids.keys()}
|
|
}))
|
|
subset_entity_by_ids = {subset["_id"]: subset for subset in subsets}
|
|
|
|
sorted_versions = list(io.find({
|
|
"type": "version",
|
|
"parent": {"$in": subset_entity_by_ids.keys()}
|
|
}).sort("name", -1))
|
|
|
|
subset_id_with_latest_version = []
|
|
last_versions_by_id = {}
|
|
for version in sorted_versions:
|
|
subset_id = version["parent"]
|
|
if subset_id in subset_id_with_latest_version:
|
|
continue
|
|
subset_id_with_latest_version.append(subset_id)
|
|
last_versions_by_id[version["_id"]] = version
|
|
|
|
repres = io.find({
|
|
"type": "representation",
|
|
"parent": {"$in": last_versions_by_id.keys()}
|
|
})
|
|
|
|
output = {}
|
|
for repre in repres:
|
|
version_id = repre["parent"]
|
|
version = last_versions_by_id[version_id]
|
|
|
|
subset_id = version["parent"]
|
|
subset = subset_entity_by_ids[subset_id]
|
|
|
|
asset_id = subset["parent"]
|
|
asset = asset_entity_by_ids[asset_id]
|
|
|
|
if asset_id not in output:
|
|
output[asset_id] = {
|
|
"asset_entity": asset,
|
|
"subsets": {}
|
|
}
|
|
|
|
if subset_id not in output[asset_id]["subsets"]:
|
|
output[asset_id]["subsets"][subset_id] = {
|
|
"subset_entity": subset,
|
|
"version": {
|
|
"version_entity": version,
|
|
"repres": []
|
|
}
|
|
}
|
|
|
|
output[asset_id]["subsets"][subset_id]["version"]["repres"].append(
|
|
repre
|
|
)
|
|
|
|
return output
|
|
|
|
|
|
def ffprobe_streams(path_to_file, logger=None):
|
|
"""Load streams from entered filepath via ffprobe."""
|
|
if not logger:
|
|
logger = log
|
|
logger.info(
|
|
"Getting information about input \"{}\".".format(path_to_file)
|
|
)
|
|
args = [
|
|
"\"{}\"".format(get_ffmpeg_tool_path("ffprobe")),
|
|
"-v quiet",
|
|
"-print_format json",
|
|
"-show_format",
|
|
"-show_streams",
|
|
"\"{}\"".format(path_to_file)
|
|
]
|
|
command = " ".join(args)
|
|
logger.debug("FFprobe command: \"{}\"".format(command))
|
|
popen = subprocess.Popen(
|
|
command,
|
|
shell=True,
|
|
stdout=subprocess.PIPE,
|
|
stderr=subprocess.PIPE
|
|
)
|
|
|
|
popen_stdout, popen_stderr = popen.communicate()
|
|
if popen_stdout:
|
|
logger.debug("ffprobe stdout: {}".format(popen_stdout))
|
|
|
|
if popen_stderr:
|
|
logger.debug("ffprobe stderr: {}".format(popen_stderr))
|
|
return json.loads(popen_stdout)["streams"]
|
|
|
|
|
|
def source_hash(filepath, *args):
|
|
"""Generate simple identifier for a source file.
|
|
This is used to identify whether a source file has previously been
|
|
processe into the pipeline, e.g. a texture.
|
|
The hash is based on source filepath, modification time and file size.
|
|
This is only used to identify whether a specific source file was already
|
|
published before from the same location with the same modification date.
|
|
We opt to do it this way as opposed to Avalanch C4 hash as this is much
|
|
faster and predictable enough for all our production use cases.
|
|
Args:
|
|
filepath (str): The source file path.
|
|
You can specify additional arguments in the function
|
|
to allow for specific 'processing' values to be included.
|
|
"""
|
|
# We replace dots with comma because . cannot be a key in a pymongo dict.
|
|
file_name = os.path.basename(filepath)
|
|
time = str(os.path.getmtime(filepath))
|
|
size = str(os.path.getsize(filepath))
|
|
return "|".join([file_name, time, size] + list(args)).replace(".", ",")
|