Adding a dependency graph class and tests
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from django.utils.datastructures import SortedSet
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class MigrationsGraph(object):
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"""
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Represents the digraph of all migrations in a project.
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Each migration is a node, and each dependency is an edge. There are
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no implicit dependencies between numbered migrations - the numbering is
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merely a convention to aid file listing. Every new numbered migration
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has a declared dependency to the previous number, meaning that VCS
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branch merges can be detected and resolved.
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Migrations files can be marked as replacing another set of migrations -
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this is to support the "squash" feature. The graph handler isn't resposible
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for these; instead, the code to load them in here should examine the
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migration files and if the replaced migrations are all either unapplied
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or not present, it should ignore the replaced ones, load in just the
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replacing migration, and repoint any dependencies that pointed to the
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replaced migrations to point to the replacing one.
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A node should be a tuple: (applabel, migration_name) - but the code
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here doesn't really care.
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"""
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def __init__(self):
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self.nodes = {}
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self.dependencies = {}
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self.dependents = {}
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def add_node(self, node, implementation):
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self.nodes[node] = implementation
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def add_dependency(self, child, parent):
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self.nodes[child] = None
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self.nodes[parent] = None
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self.dependencies.setdefault(child, set()).add(parent)
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self.dependents.setdefault(parent, set()).add(child)
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def forwards_plan(self, node):
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"""
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Given a node, returns a list of which previous nodes (dependencies)
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must be applied, ending with the node itself.
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This is the list you would follow if applying the migrations to
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a database.
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"""
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if node not in self.nodes:
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raise ValueError("Node %r not a valid node" % node)
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return self.dfs(node, lambda x: self.dependencies.get(x, set()))
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def backwards_plan(self, node):
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"""
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Given a node, returns a list of which dependent nodes (dependencies)
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must be unapplied, ending with the node itself.
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This is the list you would follow if removing the migrations from
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a database.
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"""
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if node not in self.nodes:
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raise ValueError("Node %r not a valid node" % node)
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return self.dfs(node, lambda x: self.dependents.get(x, set()))
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def dfs(self, start, get_children):
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"""
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Dynamic programming based depth first search, for finding dependencies.
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"""
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cache = {}
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def _dfs(start, get_children, path):
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# If we already computed this, use that (dynamic programming)
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if (start, get_children) in cache:
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return cache[(start, get_children)]
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# If we've traversed here before, that's a circular dep
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if start in path:
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raise CircularDependencyException(path[path.index(start):] + [start])
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# Build our own results list, starting with us
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results = []
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results.append(start)
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# We need to add to results all the migrations this one depends on
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children = sorted(get_children(start))
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path.append(start)
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for n in children:
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results = _dfs(n, get_children, path) + results
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path.pop()
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# Use SortedSet to ensure only one instance of each result
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results = list(SortedSet(results))
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# Populate DP cache
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cache[(start, get_children)] = results
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# Done!
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return results
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return _dfs(start, get_children, [])
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class CircularDependencyException(Exception):
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"""
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Raised when there's an impossible-to-resolve circular dependency.
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"""
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pass
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@ -252,6 +252,36 @@ class SortedDict(dict):
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super(SortedDict, self).clear()
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self.keyOrder = []
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class SortedSet(object):
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"""
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A set which keeps the ordering of the inserted items.
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Currently backs onto SortedDict.
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"""
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def __init__(self, iterable=None):
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self.dict = SortedDict(((x, None) for x in iterable) if iterable else [])
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def add(self, item):
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self.dict[item] = None
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def remove(self, item):
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del self.dict[item]
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def discard(self, item):
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try:
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self.remove(item)
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except KeyError:
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pass
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def __iter__(self):
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return iter(self.dict.keys())
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def __contains__(self, item):
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return item in self.dict
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def __nonzero__(self):
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return bool(self.dict)
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class MultiValueDictKeyError(KeyError):
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pass
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from django.test import TransactionTestCase
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from django.db.migrations.graph import MigrationsGraph, CircularDependencyException
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class GraphTests(TransactionTestCase):
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"""
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Tests the digraph structure.
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"""
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def test_simple_graph(self):
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"""
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Tests a basic dependency graph:
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app_a: 0001 <-- 0002 <--- 0003 <-- 0004
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/
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app_b: 0001 <-- 0002 <-/
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"""
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# Build graph
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graph = MigrationsGraph()
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graph.add_dependency(("app_a", "0004"), ("app_a", "0003"))
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graph.add_dependency(("app_a", "0003"), ("app_a", "0002"))
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graph.add_dependency(("app_a", "0002"), ("app_a", "0001"))
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graph.add_dependency(("app_a", "0003"), ("app_b", "0002"))
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graph.add_dependency(("app_b", "0002"), ("app_b", "0001"))
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# Test root migration case
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self.assertEqual(
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graph.forwards_plan(("app_a", "0001")),
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[('app_a', '0001')],
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)
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# Test branch B only
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self.assertEqual(
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graph.forwards_plan(("app_b", "0002")),
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[("app_b", "0001"), ("app_b", "0002")],
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)
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# Test whole graph
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self.assertEqual(
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graph.forwards_plan(("app_a", "0004")),
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[('app_b', '0001'), ('app_b', '0002'), ('app_a', '0001'), ('app_a', '0002'), ('app_a', '0003'), ('app_a', '0004')],
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)
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# Test reverse to b:0002
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self.assertEqual(
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graph.backwards_plan(("app_b", "0002")),
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[('app_a', '0004'), ('app_a', '0003'), ('app_b', '0002')],
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)
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def test_complex_graph(self):
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"""
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Tests a complex dependency graph:
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app_a: 0001 <-- 0002 <--- 0003 <-- 0004
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\ \ / /
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app_b: 0001 <-\ 0002 <-X /
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\ \ /
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app_c: \ 0001 <-- 0002 <-
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"""
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# Build graph
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graph = MigrationsGraph()
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graph.add_dependency(("app_a", "0004"), ("app_a", "0003"))
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graph.add_dependency(("app_a", "0003"), ("app_a", "0002"))
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graph.add_dependency(("app_a", "0002"), ("app_a", "0001"))
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graph.add_dependency(("app_a", "0003"), ("app_b", "0002"))
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graph.add_dependency(("app_b", "0002"), ("app_b", "0001"))
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graph.add_dependency(("app_a", "0004"), ("app_c", "0002"))
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graph.add_dependency(("app_c", "0002"), ("app_c", "0001"))
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graph.add_dependency(("app_c", "0001"), ("app_b", "0001"))
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graph.add_dependency(("app_c", "0002"), ("app_a", "0002"))
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# Test branch C only
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self.assertEqual(
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graph.forwards_plan(("app_c", "0002")),
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[('app_b', '0001'), ('app_c', '0001'), ('app_a', '0001'), ('app_a', '0002'), ('app_c', '0002')],
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)
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# Test whole graph
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self.assertEqual(
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graph.forwards_plan(("app_a", "0004")),
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[('app_b', '0001'), ('app_c', '0001'), ('app_a', '0001'), ('app_a', '0002'), ('app_c', '0002'), ('app_b', '0002'), ('app_a', '0003'), ('app_a', '0004')],
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)
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# Test reverse to b:0001
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self.assertEqual(
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graph.backwards_plan(("app_b", "0001")),
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[('app_a', '0004'), ('app_c', '0002'), ('app_c', '0001'), ('app_a', '0003'), ('app_b', '0002'), ('app_b', '0001')],
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)
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def test_circular_graph(self):
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"""
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Tests a circular dependency graph.
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"""
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# Build graph
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graph = MigrationsGraph()
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graph.add_dependency(("app_a", "0003"), ("app_a", "0002"))
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graph.add_dependency(("app_a", "0002"), ("app_a", "0001"))
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graph.add_dependency(("app_a", "0001"), ("app_b", "0002"))
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graph.add_dependency(("app_b", "0002"), ("app_b", "0001"))
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graph.add_dependency(("app_b", "0001"), ("app_a", "0003"))
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# Test whole graph
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self.assertRaises(
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CircularDependencyException,
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graph.forwards_plan, ("app_a", "0003"),
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)
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