from django.utils.datastructures import OrderedSet from django.db.migrations.state import ProjectState class MigrationGraph(object): """ Represents the digraph of all migrations in a project. Each migration is a node, and each dependency is an edge. There are no implicit dependencies between numbered migrations - the numbering is merely a convention to aid file listing. Every new numbered migration has a declared dependency to the previous number, meaning that VCS branch merges can be detected and resolved. Migrations files can be marked as replacing another set of migrations - this is to support the "squash" feature. The graph handler isn't responsible for these; instead, the code to load them in here should examine the migration files and if the replaced migrations are all either unapplied or not present, it should ignore the replaced ones, load in just the replacing migration, and repoint any dependencies that pointed to the replaced migrations to point to the replacing one. A node should be a tuple: (app_path, migration_name). The tree special-cases things within an app - namely, root nodes and leaf nodes ignore dependencies to other apps. """ def __init__(self): self.nodes = {} self.dependencies = {} self.dependents = {} def add_node(self, node, implementation): self.nodes[node] = implementation def add_dependency(self, child, parent): if child not in self.nodes: raise KeyError("Dependency references nonexistent child node %r" % (child,)) if parent not in self.nodes: raise KeyError("Dependency references nonexistent parent node %r" % (parent,)) self.dependencies.setdefault(child, set()).add(parent) self.dependents.setdefault(parent, set()).add(child) def forwards_plan(self, node): """ Given a node, returns a list of which previous nodes (dependencies) must be applied, ending with the node itself. This is the list you would follow if applying the migrations to a database. """ if node not in self.nodes: raise ValueError("Node %r not a valid node" % (node, )) return self.dfs(node, lambda x: self.dependencies.get(x, set())) def backwards_plan(self, node): """ Given a node, returns a list of which dependent nodes (dependencies) must be unapplied, ending with the node itself. This is the list you would follow if removing the migrations from a database. """ if node not in self.nodes: raise ValueError("Node %r not a valid node" % (node, )) return self.dfs(node, lambda x: self.dependents.get(x, set())) def root_nodes(self): """ Returns all root nodes - that is, nodes with no dependencies inside their app. These are the starting point for an app. """ roots = set() for node in self.nodes: if not any(key[0] == node[0] for key in self.dependencies.get(node, set())): roots.add(node) return roots def leaf_nodes(self): """ Returns all leaf nodes - that is, nodes with no dependents in their app. These are the "most current" version of an app's schema. Having more than one per app is technically an error, but one that gets handled further up, in the interactive command - it's usually the result of a VCS merge and needs some user input. """ leaves = set() for node in self.nodes: if not any(key[0] == node[0] for key in self.dependents.get(node, set())): leaves.add(node) return leaves def dfs(self, start, get_children): """ Dynamic programming based depth first search, for finding dependencies. """ cache = {} def _dfs(start, get_children, path): # If we already computed this, use that (dynamic programming) if (start, get_children) in cache: return cache[(start, get_children)] # If we've traversed here before, that's a circular dep if start in path: raise CircularDependencyError(path[path.index(start):] + [start]) # Build our own results list, starting with us results = [] results.append(start) # We need to add to results all the migrations this one depends on children = sorted(get_children(start)) path.append(start) for n in children: results = _dfs(n, get_children, path) + results path.pop() # Use OrderedSet to ensure only one instance of each result results = list(OrderedSet(results)) # Populate DP cache cache[(start, get_children)] = results # Done! return results return _dfs(start, get_children, []) def __str__(self): return "Graph: %s nodes, %s edges" % (len(self.nodes), sum(len(x) for x in self.dependencies.values())) def project_state(self, nodes=None, at_end=True): """ Given a migration node or nodes, returns a complete ProjectState for it. If at_end is False, returns the state before the migration has run. If nodes is not provided, returns the overall most current project state. """ if nodes is None: nodes = list(self.leaf_nodes()) if len(nodes) == 0: return ProjectState() if not isinstance(nodes[0], tuple): nodes = [nodes] plan = [] for node in nodes: for migration in self.forwards_plan(node): if migration not in plan: if not at_end and migration in nodes: continue plan.append(migration) project_state = ProjectState() for node in plan: project_state = self.nodes[node].mutate_state(project_state) return project_state class CircularDependencyError(Exception): """ Raised when there's an impossible-to-resolve circular dependency. """ pass