"""a more advanced example of basic_tree.py.  treenodes can now reference their "root" node, and
introduces a new selection method which selects an entire tree of nodes at once, taking 
advantage of a custom MapperExtension to assemble incoming nodes into their correct structure."""

from sqlalchemy import *
from sqlalchemy.orm import *
from sqlalchemy.orm.collections import attribute_mapped_collection

engine = create_engine('sqlite:///:memory:', echo=True)

metadata = MetaData(engine)

"""create the treenodes table.  This is ia basic adjacency list model table.
One additional column, "root_node_id", references a "root node" row and is used
in the 'byroot_tree' example."""

trees = Table('treenodes', metadata,
    Column('node_id', Integer, Sequence('treenode_id_seq',optional=False), primary_key=True),
    Column('parent_node_id', Integer, ForeignKey('treenodes.node_id'), nullable=True),
    Column('root_node_id', Integer, ForeignKey('treenodes.node_id'), nullable=True),
    Column('node_name', String(50), nullable=False),
    Column('data_ident', Integer, ForeignKey('treedata.data_id'))
    )

treedata = Table(
    "treedata", metadata, 
    Column('data_id', Integer, primary_key=True),
    Column('value', String(100), nullable=False)
)


class TreeNode(object):
    """a hierarchical Tree class, which adds the concept of a "root node".  The root is 
    the topmost node in a tree, or in other words a node whose parent ID is NULL.  
    All child nodes that are decendents of a particular root, as well as a root node itself, 
    reference this root node.  """
    
    def __init__(self, name):
        self.name = name
        self.root = self

    def _set_root(self, root):
        self.root = root
        for c in self.children.values():
            c._set_root(root)

    def append(self, node):
        if isinstance(node, str):
            node = TreeNode(node)
        node._set_root(self.root)
        self.children.set(node)

    def __repr__(self):
        return self._getstring(0, False)

    def __str__(self):
        return self._getstring(0, False)

    def _getstring(self, level, expand = False):
        s = ('  ' * level) + "%s (%s,%s,%s, %d): %s" % (self.name, self.id,self.parent_id,self.root_id, id(self), repr(self.data)) + '\n'
        if expand:
            s += ''.join([n._getstring(level+1, True) for n in self.children.values()])
        return s

    def print_nodes(self):
        return self._getstring(0, True)
        
class TreeLoader(MapperExtension):

    def after_insert(self, mapper, connection, instance):
        """runs after the insert of a new TreeNode row.  The primary key of the row is not determined
        until the insert is complete, since most DB's use autoincrementing columns.  If this node is
        the root node, we will take the new primary key and update it as the value of the node's 
        "root ID" as well, since its root node is itself."""

        if instance.root is instance:
            connection.execute(mapper.mapped_table.update(TreeNode.c.id==instance.id, values=dict(root_node_id=instance.id)))
            instance.root_id = instance.id

    def append_result(self, mapper, selectcontext, row, instance, result, **flags):
        """runs as results from a SELECT statement are processed, and newly created or already-existing
        instances that correspond to each row are appended to result lists.  This method will only
        append root nodes to the result list, and will attach child nodes to their appropriate parent
        node as they arrive from the select results.  This allows a SELECT statement which returns
        both root and child nodes in one query to return a list of "roots"."""

        isnew = flags.get('isnew', False)

        if instance.parent_id is None:
            result.append(instance)
        else:
            if isnew or selectcontext.populate_existing:
                parentnode = selectcontext.identity_map[mapper.identity_key_from_primary_key(instance.parent_id)]
                parentnode.children.set(instance)
        return False
            
class TreeData(object):
    def __init__(self, value=None):
        self.id = None
        self.value = value
    def __repr__(self):
        return "TreeData(%s, %s)" % (repr(self.id), repr(self.value))


print "\n\n\n----------------------------"
print "Creating Tree Table:"
print "----------------------------"

metadata.create_all()

# the mapper is created with properties that specify "lazy=None" - this is because we are going 
# to handle our own "eager load" of nodes based on root id
mapper(TreeNode, trees, properties=dict(
    id=trees.c.node_id,
    name=trees.c.node_name,
    parent_id=trees.c.parent_node_id,
    root_id=trees.c.root_node_id,
    root=relation(TreeNode, primaryjoin=trees.c.root_node_id==trees.c.node_id, remote_side=trees.c.node_id, lazy=None),
    children=relation(TreeNode, 
        primaryjoin=trees.c.parent_node_id==trees.c.node_id, 
        lazy=None, 
        cascade="all", 
        collection_class=attribute_mapped_collection('name'),
        backref=backref('parent', primaryjoin=trees.c.parent_node_id==trees.c.node_id, remote_side=trees.c.node_id)
        ),
    data=relation(TreeData, cascade="all, delete-orphan", lazy=False)
    
), extension = TreeLoader())

mapper(TreeData, treedata, properties={'id':treedata.c.data_id})

session = create_session()

node2 = TreeNode('node2')
node2.append('subnode1')
node = TreeNode('rootnode')
node.append('node1')
node.append(node2)
node.append('node3')
node.children['node3'].data = TreeData('node 3s data')
node.children['node2'].append('subnode2')
node.children['node1'].data = TreeData('node 1s data')

print "\n\n\n----------------------------"
print "Created new tree structure:"
print "----------------------------"

print node.print_nodes()

print "\n\n\n----------------------------"
print "flushing:"
print "----------------------------"

session.save(node)
session.flush()

print "\n\n\n----------------------------"
print "Tree After Save:"
print "----------------------------"

print node.print_nodes()

node.append('node4')
node.children['node4'].append('subnode3')
node.children['node4'].append('subnode4')
node.children['node4'].children['subnode3'].append('subsubnode1')
del node.children['node1']

print "\n\n\n----------------------------"
print "Modified the tree"
print "(added node4, node4/subnode3, node4/subnode4,"
print "node4/subnode3/subsubnode1, deleted node1):"
print "----------------------------"

print node.print_nodes()

print "\n\n\n----------------------------"
print "Committing:"
print "----------------------------"
session.flush()

print "\n\n\n----------------------------"
print "Tree After Save:"
print "----------------------------"

print node.print_nodes()

nodeid = node.id

print "\n\n\n----------------------------"
print "Clearing objectstore, selecting "
print "tree new where root_id=%d:" % nodeid
print "----------------------------"

session.clear()

# load some nodes.  we do this based on "root id" which will load an entire sub-tree in one pass.
# the MapperExtension will assemble the incoming nodes into a tree structure.
t = session.query(TreeNode).filter(TreeNode.c.root_id==nodeid).order_by([TreeNode.c.id])[0]

print "\n\n\n----------------------------"
print "Full Tree:"
print "----------------------------"
print t.print_nodes()

print "\n\n\n----------------------------"
print "Marking root node as deleted"
print "and committing:"
print "----------------------------"
session.delete(t)
session.flush()




