django1/django/db/migrations/graph.py

153 lines
6.1 KiB
Python

from django.utils.datastructures import SortedSet
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 resposible
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 filter(lambda key: key[0] == node[0], 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 filter(lambda key: key[0] == node[0], 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 SortedSet to ensure only one instance of each result
results = list(SortedSet(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