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added profile_exclusion
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b011caa608
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1 changed files with 62 additions and 40 deletions
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@ -811,6 +811,67 @@ class ExtractReview(pyblish.api.InstancePlugin):
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break
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return output
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def profile_exclusion(self, matching_profiles):
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"""Find out most matching profile byt host, task and family match.
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Profiles are selectivelly filtered. Each profile should have
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"__value__" key with list of booleans. Each boolean represents
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existence of filter for specific key (host, taks, family).
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Profiles are looped in sequence. In each sequence are split into
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true_list and false_list. For next sequence loop are used profiles in
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true_list if there are any profiles else false_list is used.
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Filtering ends when only one profile left in true_list. Or when all
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existence booleans loops passed, in that case first profile from left
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profiles is returned.
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Args:
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matching_profiles (list): Profiles with same values.
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Returns:
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dict: Most matching profile.
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"""
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self.log.info(
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"Search for first most matching profile in match order:"
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" Host name -> Task name -> Family."
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)
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# Filter all profiles with highest points value. First filter profiles
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# with matching host if there are any then filter profiles by task
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# name if there are any and lastly filter by family. Else use first in
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# list.
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idx = 0
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final_profile = None
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while True:
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profiles_true = []
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profiles_false = []
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for profile in matching_profiles:
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value = profile["__value__"]
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# Just use first profile when idx is greater than values.
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if not idx < len(value):
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final_profile = profile
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break
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if value[idx]:
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profiles_true.append(profile)
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else:
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profiles_false.append(profile)
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if final_profile is not None:
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break
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if profiles_true:
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matching_profiles = profiles_true
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else:
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matching_profiles = profiles_false
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if len(matching_profiles) == 1:
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final_profile = matching_profiles[0]
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break
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idx += 1
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final_profile.pop("__value__")
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return final_profile
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def find_matching_profile(self, profiles, filter_data):
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""" Filter profiles by Host name, Task name and main Family.
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@ -893,46 +954,7 @@ class ExtractReview(pyblish.api.InstancePlugin):
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" Host \"{host}\" | Task: \"{task}\" | Family: \"{family}\""
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).format(**filter_data))
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# Filter all profiles with highest points value. First filter profiles
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# with matching host if there are any then filter profiles by task
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# name if there are any and lastly filter by family. Else use first in
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# list.
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idx = 0
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final_profile = None
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while True:
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profiles_true = []
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profiles_false = []
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for profile in matching_profiles:
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value = profile["__value__"]
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# Just use first profile when idx is greater than values.
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if not idx < len(value):
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final_profile = profile
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break
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if value[idx]:
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profiles_true.append(profile)
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else:
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profiles_false.append(profile)
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if final_profile is not None:
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break
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if profiles_true:
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matching_profiles = profiles_true
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else:
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matching_profiles = profiles_false
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if len(matching_profiles) == 1:
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final_profile = matching_profiles[0]
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break
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idx += 1
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final_profile.pop("__value__")
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self.log.info(
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"Using first most matching profile in match order:"
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" Host name -> Task name -> Family."
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)
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return final_profile
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return self.profile_exclusion(matching_profiles)
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def families_filter_validation(self, families, output_families_filter):
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"""Determines if entered families intersect with families filters.
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