Release: 1.2.8 | Release Date: May 28, 2018

# SQLAlchemy 1.2 Documentation

# Source code for examples.dogpile_caching.caching_query

    """caching_query.py

    Represent functions and classes
    which allow the usage of Dogpile caching with SQLAlchemy.
    Introduces a query option called FromCache.

    The three new concepts introduced here are:

     * CachingQuery - a Query subclass that caches and
       retrieves results in/from dogpile.cache.
     * FromCache - a query option that establishes caching
       parameters on a Query
     * RelationshipCache - a variant of FromCache which is specific
       to a query invoked during a lazy load.
     * _params_from_query - extracts value parameters from
       a Query.

    The rest of what's here are standard SQLAlchemy and
    dogpile.cache constructs.

    """
    from sqlalchemy.orm.interfaces import MapperOption
    from sqlalchemy.orm.query import Query
    from sqlalchemy.sql import visitors
    from dogpile.cache.api import NO_VALUE

    class CachingQuery(Query):
        """A Query subclass which optionally loads full results from a dogpile
        cache region.

        The CachingQuery optionally stores additional state that allows it to consult
        a dogpile.cache cache before accessing the database, in the form
        of a FromCache or RelationshipCache object.   Each of these objects
        refer to the name of a :class:`dogpile.cache.Region` that's been configured
        and stored in a lookup dictionary.  When such an object has associated
        itself with the CachingQuery, the corresponding :class:`dogpile.cache.Region`
        is used to locate a cached result.  If none is present, then the
        Query is invoked normally, the results being cached.

        The FromCache and RelationshipCache mapper options below represent
        the "public" method of configuring this state upon the CachingQuery.

        """

        def __init__(self, regions, *args, **kw):
            self.cache_regions = regions
            Query.__init__(self, *args, **kw)

        def __iter__(self):
            """override __iter__ to pull results from dogpile
               if particular attributes have been configured.

               Note that this approach does *not* detach the loaded objects from
               the current session. If the cache backend is an in-process cache
               (like "memory") and lives beyond the scope of the current session's
               transaction, those objects may be expired. The method here can be
               modified to first expunge() each loaded item from the current
               session before returning the list of items, so that the items
               in the cache are not the same ones in the current Session.

            """
            super_ = super(CachingQuery, self)

            if hasattr(self, '_cache_region'):
                return self.get_value(createfunc=lambda: list(super_.__iter__()))
            else:
                return super_.__iter__()

        def _execute_and_instances(self, context):
            """override _execute_and_instances to pull results from dogpile
                if the query is invoked directly from an external context.

               This method is necessary in order to maintain compatibility
               with the "baked query" system now used by default in some
               relationship loader scenarios.   Note also the
               RelationshipCache._generate_cache_key method which enables
               the baked query to be used within lazy loads.

               .. versionadded:: 1.2.7
            """
            super_ = super(CachingQuery, self)

            if context.query is not self and hasattr(self, '_cache_region'):
                # special logic called when the Query._execute_and_instances()
                # method is called directly from the baked query
                return self.get_value(
                    createfunc=lambda: list(
                        super_._execute_and_instances(context)
                    )
                )
            else:
                return super_._execute_and_instances(context)

        def _get_cache_plus_key(self):
            """Return a cache region plus key."""

            dogpile_region = self.cache_regions[self._cache_region.region]
            if self._cache_region.cache_key:
                key = self._cache_region.cache_key
            else:
                key = _key_from_query(self)
            return dogpile_region, key

        def invalidate(self):
            """Invalidate the cache value represented by this Query."""

            dogpile_region, cache_key = self._get_cache_plus_key()
            dogpile_region.delete(cache_key)

        def get_value(self, merge=True, createfunc=None,
                        expiration_time=None, ignore_expiration=False):
            """Return the value from the cache for this query.

            Raise KeyError if no value present and no
            createfunc specified.

            """
            dogpile_region, cache_key = self._get_cache_plus_key()

            # ignore_expiration means, if the value is in the cache
            # but is expired, return it anyway.   This doesn't make sense
            # with createfunc, which says, if the value is expired, generate
            # a new value.
            assert not ignore_expiration or not createfunc, \
                    "Can't ignore expiration and also provide createfunc"

            if ignore_expiration or not createfunc:
                cached_value = dogpile_region.get(cache_key,
                                    expiration_time=expiration_time,
                                    ignore_expiration=ignore_expiration)
            else:
                cached_value = dogpile_region.get_or_create(
                                        cache_key,
                                        createfunc,
                                        expiration_time=expiration_time
                                    )
            if cached_value is NO_VALUE:
                raise KeyError(cache_key)
            if merge:
                cached_value = self.merge_result(cached_value, load=False)
            return cached_value

        def set_value(self, value):
            """Set the value in the cache for this query."""

            dogpile_region, cache_key = self._get_cache_plus_key()
            dogpile_region.set(cache_key, value)

    def query_callable(regions, query_cls=CachingQuery):
        def query(*arg, **kw):
            return query_cls(regions, *arg, **kw)
        return query

    def _key_from_query(query, qualifier=None):
        """Given a Query, create a cache key.

        There are many approaches to this; here we use the simplest,
        which is to create an md5 hash of the text of the SQL statement,
        combined with stringified versions of all the bound parameters
        within it.     There's a bit of a performance hit with
        compiling out "query.statement" here; other approaches include
        setting up an explicit cache key with a particular Query,
        then combining that with the bound parameter values.

        """

        stmt = query.with_labels().statement
        compiled = stmt.compile()
        params = compiled.params

        # here we return the key as a long string.  our "key mangler"
        # set up with the region will boil it down to an md5.
        return " ".join(
                        [str(compiled)] +
                        [str(params[k]) for k in sorted(params)])

    class FromCache(MapperOption):
        """Specifies that a Query should load results from a cache."""

        propagate_to_loaders = False

        def __init__(self, region="default", cache_key=None):
            """Construct a new FromCache.

            :param region: the cache region.  Should be a
            region configured in the dictionary of dogpile
            regions.

            :param cache_key: optional.  A string cache key
            that will serve as the key to the query.   Use this
            if your query has a huge amount of parameters (such
            as when using in_()) which correspond more simply to
            some other identifier.

            """
            self.region = region
            self.cache_key = cache_key

        def process_query(self, query):
            """Process a Query during normal loading operation."""
            query._cache_region = self

    class RelationshipCache(MapperOption):
        """Specifies that a Query as called within a "lazy load"
           should load results from a cache."""

        propagate_to_loaders = True

        def __init__(self, attribute, region="default", cache_key=None):
            """Construct a new RelationshipCache.

            :param attribute: A Class.attribute which
            indicates a particular class relationship() whose
            lazy loader should be pulled from the cache.

            :param region: name of the cache region.

            :param cache_key: optional.  A string cache key
            that will serve as the key to the query, bypassing
            the usual means of forming a key from the Query itself.

            """
            self.region = region
            self.cache_key = cache_key
            self._relationship_options = {
                (attribute.property.parent.class_, attribute.property.key): self
            }

        def process_query_conditionally(self, query):
            """Process a Query that is used within a lazy loader.

            (the process_query_conditionally() method is a SQLAlchemy
            hook invoked only within lazyload.)

            """
            if query._current_path:
                mapper, prop = query._current_path[-2:]
                key = prop.key

                for cls in mapper.class_.__mro__:
                    if (cls, key) in self._relationship_options:
                        relationship_option = self._relationship_options[(cls, key)]
                        query._cache_region = relationship_option
                        break

        def and_(self, option):
            """Chain another RelationshipCache option to this one.

            While many RelationshipCache objects can be specified on a single
            Query separately, chaining them together allows for a more efficient
            lookup during load.

            """
            self._relationship_options.update(option._relationship_options)
            return self

        def _generate_cache_key(self, path):
            """Indicate to the lazy-loader strategy that a "baked" query
            may be used by returning ``None``.

            If this method is omitted, the default implementation of
            :class:`.MapperOption._generate_cache_key` takes place, which
            returns ``False`` to disable the "baked" query from being used.

            .. versionadded:: 1.2.7

            """
            return None