yay! this piece of code has served its purpose:
it was the blueprint to build a way better design and implementation,
which can now cover this "generic tree" case as a special case as well
- esp. verify the proper inclusion of the Selector closure in all Operations
- straighten the implementation of Attribute binding
- clean-up the error checking helpers
--> now it becomes obvious that we've mostly
missed to integrate the Selector predicate properly
in most bindings defined thus far. Which now causes
the sub-object binding to kick in, while actually
the sub-value collection should have handled
the nested values CHILD_B and CHILD_T
integrated into the generic DiffApplicationStrategy.
The dedicated, explicit specialisation for DiffMutable is
no longer needed, since the generic template will degrade or
fall back to precisely this functionality, when the target
implements the DiffMutable interface
This is the first skeleton to combine all the building blocks,
and it passes compilation, while of course most of the binding
implementation still needs to be filled in...
initially, even the diff applicator was meant to be a
"throwaway" object. But then, on writing some tests,
it seemed natural to allow re-using a single applicator,
after having attached it to some target.
With that change, I failed to care for the garbage
left back in the "old" sequence after applying one diff;
since in the typical usage sequence, the first use builds
content from scratch, this problem starts to show up only
with the third usage, where the garbage left from the input
of the second usage appears at the begin of the "new sequence"
Solution is to throw away that garbage explicitly on re-entrance
how can ordinary object fields be treated as "Attributes"
and thus tied into the Diff framework defined thus far.
This turns out to be really tricky, even questionable
this one went through unnoticed, because the situation
is not covered in unit-test. The tests written thus fare
are more like a proof-of-concept. I didn't want to spend
weeks on writing extensive coverage of all corner cases,
at least not before all aspects of the tree diff protocol
are settled. Seemingly this backfires already
after sleeping one night over the problem, this seems to be
the most natural solution, since the possibility of assignment
naturally arises from the fact that, for tree diff, we have
to distinguish between the *identity* of an element node and
its payload (which could be recursive). Thus, IFF the payoad
is an assignable value, why not allow to assign it. Doing so
elegnatly solves the problem with assignment of attributes
Signed-off-by: Ichthyostega <prg@ichthyostega.de>
because otherwise we'd need to send a whole subtree
over the wire and then descend into it just to find an element.
This too is a ripple effect of making '==' deep
well... this was quite a piece of work
Added some documentation, but a complete documentation,
preferably to the website, would be desirable, as would
be a more complete test covering the negative corner cases
yeah, working with open fire is dangerous...
For performace reasons I've undercut the premise
to make GenNode / Record immutable. Now I'm dealing with
raw storage layout together with this quite hairy distinction
between "attribute scope" and "child scope"
In hindsight, it might have been better to implement Record
as a single list, and to maintain a shortcut pointer to jump
to the start of the attributes.
while implementing this, I've discovered a conceptual error:
we allow to accept attributes, even when we've already entered
the child scope. This means that we can not predictable get back
at the "last" (i.e. the currently touched) element, because this
might be such an attribute. So a really correct implementation
would have to memorise the "current" element, which is really
tricky, given the various ways of touching elements in our
diff language.
In the end I've decided to ignore this problem (maybe a better
solution would have been to disallow those "late" attributes?)
My reasoning is that attributes are unlikely to be full records,
rather just values, and values are never mutated. (but note
that it is definitively possible to have an record as attribute!)
...while I must admit that I'm a bit doubtful about that
language feature, but it does come in handy when manually
writing diff messages. The reason is the automatic naming
of child objects, which makes it often hard to refer to
a child after the fact, since the name can not be
reconstructed systematically.
Obviously the downside of this "anonymous pick / delete"
is that we allow to pick (accept) or even delete just
any child, which happens to sit there, without being
able to detect a synchronisation mismatch between
sender and receiver.
i.e. flat match, not deep equality.
This allows to send just an Ref (with the ID) over the
wire to refer to an complete object to be picked, moved
or deleted on the receiver side.
the type is the only meta attribute supported by now,
thus the decision was to handle this manually, instead of
introducing a full scope for meta attributes. Unfortunately
this leads to an assymetry: while it is possible to send an
attribute named "type", which will be intercepted and used
as a new type ID, the type will not show up when iterating
or searching through attributes.
When applying a diff, the only possibility is to *insert*
a new type attribute, and we need to check and handle this
likewise manually.
It is difficult to reconcile our general architecture for the
linearised diff representation with the processing of recursive,
tree-like data structures. The natural and most clean way to
deal with trees is to use recursion, i.e. the processor stack.
But in our case, this means we'd have to peek into the next
token of the language and then forward the diff iterator
into a recursive call on the nested scope. Essentially, this
breaks the separation between receiving a token sequence and
interpretation for a concrete target data structure.
For this reason, it is preferrable to make the stack an
internal state of the concrete interpreter. The downside of
this approach is the quite confusing data storage management;
we try to make the role of the storage elements a bit more
clear through descriptive accessor functions.
implement the list handling primitives analogous to the
implementation of list-diff-applicator -- just again with
the additional twist to keep the attribute and child scopes
separated.
...so now the stage is set. We can reimplement
the handling of the list diff cases here in the context
of tree diff application. The additional twist of course
being the distinction between attribute and child scope
each language token of our "linearised diff representation"
carries a payload data element, which typically is the piece
of data to be altered (added, mutated, etc).
Basically, these elements have value semantics and are
"sent over wire", and thus it seems natural when the
language interpreter functions accept that piece of payload
by-value. But since we're now sending GenNode elements as
parameter data in our diff, which typically are of the
size of 10 data elements (640 bit on a 64bit machine),
it seems more resonable to pass these argument elements
by const& through the interpreter function. This still
means we can (and will indeed) copy the mutated data
values when applying the diff, but we're able to
relay the data more efficiently to the point where
it's consumed.
this boils down to the two alternatives
- manipulate the target data structure
- build an altered copy
since our goal is to handle large tree structures efficiently,
the decision was cast in favour of data manipulation
so basically it's time to explicate the way
our diff language will actually be written.
Similar to the list diff case, it's a linear sequence
of verb tokens, but in this case, the payload value
in each token is a GenNode. This is the very reason
why GenNode was conceived as value object with an
opaque DataCap payload
