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80 lines
2.7 KiB
Python
80 lines
2.7 KiB
Python
# -*- coding: utf-8 -*-
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"""Avalon/Pyblish plugin tools."""
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import os
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import inspect
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import logging
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from ..api import config
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log = logging.getLogger(__name__)
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def filter_pyblish_plugins(plugins):
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"""Filter pyblish plugins by presets.
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This servers as plugin filter / modifier for pyblish. It will load plugin
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definitions from presets and filter those needed to be excluded.
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Args:
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plugins (dict): Dictionary of plugins produced by :mod:`pyblish-base`
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`discover()` method.
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"""
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from pyblish import api
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host = api.current_host()
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presets = config.get_presets().get('plugins', {})
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# iterate over plugins
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for plugin in plugins[:]:
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# skip if there are no presets to process
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if not presets:
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continue
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file = os.path.normpath(inspect.getsourcefile(plugin))
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file = os.path.normpath(file)
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# host determined from path
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host_from_file = file.split(os.path.sep)[-3:-2][0]
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plugin_kind = file.split(os.path.sep)[-2:-1][0]
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try:
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config_data = presets[host]["publish"][plugin.__name__]
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except KeyError:
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try:
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config_data = presets[host_from_file][plugin_kind][plugin.__name__] # noqa: E501
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except KeyError:
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continue
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for option, value in config_data.items():
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if option == "enabled" and value is False:
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log.info('removing plugin {}'.format(plugin.__name__))
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plugins.remove(plugin)
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else:
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log.info('setting {}:{} on plugin {}'.format(
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option, value, plugin.__name__))
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setattr(plugin, option, value)
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def source_hash(filepath, *args):
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"""Generate simple identifier for a source file.
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This is used to identify whether a source file has previously been
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processe into the pipeline, e.g. a texture.
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The hash is based on source filepath, modification time and file size.
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This is only used to identify whether a specific source file was already
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published before from the same location with the same modification date.
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We opt to do it this way as opposed to Avalanch C4 hash as this is much
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faster and predictable enough for all our production use cases.
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Args:
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filepath (str): The source file path.
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You can specify additional arguments in the function
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to allow for specific 'processing' values to be included.
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"""
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# We replace dots with comma because . cannot be a key in a pymongo dict.
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file_name = os.path.basename(filepath)
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time = str(os.path.getmtime(filepath))
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size = str(os.path.getsize(filepath))
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return "|".join([file_name, time, size] + list(args)).replace(".", ",")
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