management command to remove nicks from chains due to bridge
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markov/management/__init__.py
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markov/management/__init__.py
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"""Management operations for the markov plugin and models."""
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markov/management/commands/__init__.py
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markov/management/commands/__init__.py
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"""Management commands for the markov plugin and models."""
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"""Clean up learned chains with speaker nicks (from the bridge) or self (because the bridge broke the regex)."""
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from django.core.management import BaseCommand
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from ircbot.models import IrcChannel
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from markov.models import MarkovContext, MarkovState
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class Command(BaseCommand):
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"""Find markov chains that erroneously have speaker/self nicks and remove them."""
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def handle(self, *args, **kwargs):
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"""Scan the DB, looking for bad chains, and repair them."""
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candidate_channels = IrcChannel.objects.exclude(discord_bridge='')
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markov_contexts = MarkovContext.objects.filter(markovtarget__name__in=list(candidate_channels))
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for context in markov_contexts:
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self.stdout.write(self.style.NOTICE(f"scanning context {context}..."))
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# get starting states that look like they came over the bridge
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start_states = context.states.filter(k1=MarkovState._start1, k2=MarkovState._start2,
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v__regex=r'<.*>')
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for start_state in start_states:
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self.stdout.write(self.style.NOTICE(f" diving into {start_state}..."))
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# find the states that build off of the start
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second_states = context.states.filter(k1=start_state.k2, k2=start_state.v)
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for second_state in second_states:
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self.stdout.write(self.style.NOTICE(f" diving into {second_state}..."))
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# find the third states
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leaf_states = context.states.filter(k1=second_state.k2, k2=second_state.v)
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for leaf_state in leaf_states:
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self.stdout.write(self.style.NOTICE(f" upserting state based on {leaf_state}"))
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# get/update state without the nick from the bridge
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try:
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updated_leaf = MarkovState.objects.get(k1=second_state.k1, k2=leaf_state.k2, v=leaf_state.v)
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updated_leaf.count += leaf_state.count
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updated_leaf.save()
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self.stdout.write(self.style.SUCCESS(f" updated count for {updated_leaf}"))
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except MarkovState.DoesNotExist:
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new_leaf = MarkovState.objects.create(k1=second_state.k1, k2=leaf_state.k2, v=leaf_state.v,
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context=context)
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new_leaf.count = leaf_state.count
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new_leaf.save()
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self.stdout.write(self.style.SUCCESS(f" created {new_leaf}"))
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# remove the migrated leaf state
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self.stdout.write(self.style.SUCCESS(f" deleting {leaf_state}"))
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leaf_state.delete()
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# take care of the new middle state
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self.stdout.write(self.style.NOTICE(f" upserting state based on {second_state}"))
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try:
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updated_second = MarkovState.objects.get(k1=start_state.k1, k2=start_state.k2, v=second_state.v)
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updated_second.count += second_state.count
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updated_second.save()
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self.stdout.write(self.style.SUCCESS(f" updated count for {updated_second}"))
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except MarkovState.DoesNotExist:
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new_second = MarkovState.objects.create(k1=start_state.k1, k2=start_state.k2, v=second_state.v,
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context=context)
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new_second.count = second_state.count
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new_second.save()
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self.stdout.write(self.style.SUCCESS(f" created {new_second}"))
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# remove the migrated second state
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self.stdout.write(self.style.SUCCESS(f" deleting {second_state}"))
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second_state.delete()
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# remove the dead end original start
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self.stdout.write(self.style.SUCCESS(f" deleting {start_state}"))
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start_state.delete()
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