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, app=None):
        """
        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())) and (not app or app == node[0]):
                roots.add(node)
        return roots

    def leaf_nodes(self, app=None):
        """
        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())) and (not app or app == node[0]):
                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

    def __contains__(self, node):
        return node in self.nodes


class CircularDependencyError(Exception):
    """
    Raised when there's an impossible-to-resolve circular dependency.
    """
    pass