linting fixes on the markov models

markov/models.py

@@ -1,30 +1,22 @@
-"""
-markov/models.py --- save brain pieces for chaining
-
-"""
-
+"""Save brain pieces as markov chains for chaining."""
 import logging
 
 from django.db import models
 
-
-log = logging.getLogger('markov.models')
+log = logging.getLogger(__name__)
 
 
 class MarkovContext(models.Model):
-
     """Define contexts for Markov chains."""
 
     name = models.CharField(max_length=200, unique=True)
 
     def __str__(self):
-        """String representation."""
-
+        """Provide string representation."""
         return "{0:s}".format(self.name)
 
 
 class MarkovTarget(models.Model):
-
     """Define IRC targets that relate to a context, and can occasionally be talked to."""
 
     name = models.CharField(max_length=200, unique=True)
@@ -33,13 +25,11 @@ class MarkovTarget(models.Model):
     chatter_chance = models.IntegerField(default=0)
 
     def __str__(self):
-        """String representation."""
-
+        """Provide string representation."""
         return "{0:s} -> {1:s}".format(self.name, self.context.name)
 
 
 class MarkovState(models.Model):
-
     """One element in a Markov chain, some text or something."""
 
     _start1 = '__start1'
@@ -54,6 +44,8 @@ class MarkovState(models.Model):
     context = models.ForeignKey(MarkovContext, on_delete=models.CASCADE)
 
     class Meta:
+        """Options for the model itself."""
+
         index_together = [
             ['context', 'k1', 'k2'],
             ['context', 'v'],
@@ -65,6 +57,5 @@ class MarkovState(models.Model):
         unique_together = ('context', 'k1', 'k2', 'v')
 
     def __str__(self):
-        """String representation."""
-
+        """Provide string representation."""
         return "{0:s},{1:s} -> {2:s} (count: {3:d})".format(self.k1, self.k2, self.v, self.count)