Release: 1.4.54 | Release Date: September 5, 2024

# SQLAlchemy 1.4 Documentation

# Source code for examples.elementtree.adjacency_list

    """
    Illustrates an explicit way to persist an XML document expressed using
    ElementTree.

    Each DOM node is stored in an individual
    table row, with attributes   represented in a separate table.  The
    nodes are associated in a hierarchy using an adjacency list
    structure.  A query function is introduced which can search for nodes
    along any path with a given   structure of attributes, basically a
    (very narrow) subset of xpath.

    This example explicitly marshals/unmarshals the ElementTree document into
    mapped entities which have their own tables.  Compare to pickle_type.py which
    uses PickleType to accomplish the same task.  Note that the usage of both
    styles of persistence are identical, as is the structure of the main Document
    class.

    """

    # PART I - Imports/Configuration
    from __future__ import print_function

    import os
    import re
    from xml.etree import ElementTree

    from sqlalchemy import and_
    from sqlalchemy import Column
    from sqlalchemy import create_engine
    from sqlalchemy import ForeignKey
    from sqlalchemy import Integer
    from sqlalchemy import String
    from sqlalchemy import Table
    from sqlalchemy import Unicode
    from sqlalchemy.orm import aliased
    from sqlalchemy.orm import lazyload
    from sqlalchemy.orm import mapper
    from sqlalchemy.orm import registry
    from sqlalchemy.orm import relationship
    from sqlalchemy.orm import Session

    e = create_engine("sqlite://")
    mapper_registry = registry()

    # PART II - Table Metadata

    # stores a top level record of an XML document.
    documents = Table(
        "documents",
        mapper_registry.metadata,
        Column("document_id", Integer, primary_key=True),
        Column("filename", String(30), unique=True),
        Column("element_id", Integer, ForeignKey("elements.element_id")),
    )

    # stores XML nodes in an adjacency list model.  This corresponds to
    # Element and SubElement objects.
    elements = Table(
        "elements",
        mapper_registry.metadata,
        Column("element_id", Integer, primary_key=True),
        Column("parent_id", Integer, ForeignKey("elements.element_id")),
        Column("tag", Unicode(30), nullable=False),
        Column("text", Unicode),
        Column("tail", Unicode),
    )

    # stores attributes.  This corresponds to the dictionary of attributes
    # stored by an Element or SubElement.
    attributes = Table(
        "attributes",
        mapper_registry.metadata,
        Column(
            "element_id",
            Integer,
            ForeignKey("elements.element_id"),
            primary_key=True,
        ),
        Column("name", Unicode(100), nullable=False, primary_key=True),
        Column("value", Unicode(255)),
    )

    mapper_registry.metadata.create_all(e)

    # PART III - Model

    # our document class.  contains a string name,
    # and the ElementTree root element.

    class Document(object):
        def __init__(self, name, element):
            self.filename = name
            self.element = element

    # PART IV - Persistence Mapping

    # Node class.  a non-public class which will represent the DB-persisted
    # Element/SubElement object.  We cannot create mappers for ElementTree elements
    # directly because they are at the very least not new-style classes, and also
    # may be backed by native implementations. so here we construct an adapter.

    class _Node(object):
        pass

    # Attribute class.  also internal, this will represent the key/value attributes
    # stored for a particular Node.

    class _Attribute(object):
        def __init__(self, name, value):
            self.name = name
            self.value = value

    # setup mappers.  Document will eagerly load a list of _Node objects.
    mapper(
        Document,
        documents,
        properties={"_root": relationship(_Node, lazy="joined", cascade="all")},
    )

    mapper(
        _Node,
        elements,
        properties={
            "children": relationship(_Node, cascade="all"),
            # eagerly load attributes
            "attributes": relationship(
                _Attribute, lazy="joined", cascade="all, delete-orphan"
            ),
        },
    )

    mapper(_Attribute, attributes)

    # define marshalling functions that convert from _Node/_Attribute to/from
    # ElementTree objects. this will set the ElementTree element as
    # "document._element", and append the root _Node object to the "_root" mapped
    # collection.

    class ElementTreeMarshal(object):
        def __get__(self, document, owner):
            if document is None:
                return self

            if hasattr(document, "_element"):
                return document._element

            def traverse(node, parent=None):
                if parent is not None:
                    elem = ElementTree.SubElement(parent, node.tag)
                else:
                    elem = ElementTree.Element(node.tag)
                elem.text = node.text
                elem.tail = node.tail
                for attr in node.attributes:
                    elem.attrib[attr.name] = attr.value
                for child in node.children:
                    traverse(child, parent=elem)
                return elem

            document._element = ElementTree.ElementTree(traverse(document._root))
            return document._element

        def __set__(self, document, element):
            def traverse(node):
                n = _Node()
                n.tag = str(node.tag)
                n.text = str(node.text)
                n.tail = str(node.tail) if node.tail else None
                n.children = [traverse(n2) for n2 in node]
                n.attributes = [
                    _Attribute(str(k), str(v)) for k, v in node.attrib.items()
                ]
                return n

            document._root = traverse(element.getroot())
            document._element = element

        def __delete__(self, document):
            del document._element
            document._root = []

    # override Document's "element" attribute with the marshaller.
    Document.element = ElementTreeMarshal()

    # PART V - Basic Persistence Example

    line = "\n--------------------------------------------------------"

    # save to DB
    session = Session(e)

    # get ElementTree documents
    for file in ("test.xml", "test2.xml", "test3.xml"):
        filename = os.path.join(os.path.dirname(__file__), file)
        doc = ElementTree.parse(filename)
        session.add(Document(file, doc))

    print("\nSaving three documents...", line)
    session.commit()
    print("Done.")

    print("\nFull text of document 'text.xml':", line)
    document = session.query(Document).filter_by(filename="test.xml").first()

    ElementTree.dump(document.element)

    # PART VI - Searching for Paths

    # manually search for a document which contains "/somefile/header/field1:hi"
    root = aliased(_Node)
    child_node = aliased(_Node)
    grandchild_node = aliased(_Node)

    d = (
        session.query(Document)
        .join(Document._root.of_type(root))
        .filter(root.tag == "somefile")
        .join(root.children.of_type(child_node))
        .filter(child_node.tag == "header")
        .join(child_node.children.of_type(grandchild_node))
        .filter(
            and_(grandchild_node.tag == "field1", grandchild_node.text == "hi")
        )
        .one()
    )
    ElementTree.dump(d.element)

    # generalize the above approach into an extremely impoverished xpath function:

    def find_document(path, compareto):
        query = session.query(Document)
        attribute = Document._root
        for i, match in enumerate(
            re.finditer(r"/([\w_]+)(?:\[@([\w_]+)(?:=(.*))?\])?", path)
        ):
            (token, attrname, attrvalue) = match.group(1, 2, 3)
            target_node = aliased(_Node)

            query = query.join(attribute.of_type(target_node)).filter(
                target_node.tag == token
            )

            attribute = target_node.children

            if attrname:
                attribute_entity = aliased(_Attribute)

                if attrvalue:
                    query = query.join(
                        target_node.attributes.of_type(attribute_entity)
                    ).filter(
                        and_(
                            attribute_entity.name == attrname,
                            attribute_entity.value == attrvalue,
                        )
                    )
                else:
                    query = query.join(
                        target_node.attributes.of_type(attribute_entity)
                    ).filter(attribute_entity.name == attrname)
        return (
            query.options(lazyload(Document._root))
            .filter(target_node.text == compareto)
            .all()
        )

    for path, compareto in (
        ("/somefile/header/field1", "hi"),
        ("/somefile/field1", "hi"),
        ("/somefile/header/field2", "there"),
        ("/somefile/header/field2[@attr=foo]", "there"),
    ):
        print("\nDocuments containing '%s=%s':" % (path, compareto), line)
        print([d.filename for d in find_document(path, compareto)])