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All database access goes through hatkirby::database now.
verbly::token, verbly::statement::condition, and verbly::part have been converted to use mpark::variant now. verbly::binding has been deleted, and replaced with a mpark::variant typedef in statement.h. This means that the only remaining tagged union class is verbly::generator::part.
refs #5
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This involved adding a new type of filter; one that compares (currently
only equality and inequality) a field with another field located in an
enclosing join context.
In the process, it was discovered that simplifying the lemma::forms join
field earlier actually made some queries return inaccurate results
because the inflection of the form was being ignored and anything in the
lemma would be used because of the inner join. Because the existing
condition join did not allow for the condition field to be on the from
side of the join, two things were done: a condition version of
joinThrough was made, and lemma was finally eliminated as a top-level
object, replaced instead with a condition join between word and form
through lemmas_forms.
Queries are also now grouped by the first select field (assumed to be
the primary ID) of the top table, in order to eliminate duplicates
created by inner joins, so that there is a uniform distribution between
results for random queries.
Created a database index on pronunciations(rhyme) which decreases query
time for rhyming filters. The new database version is
backwards-compatible because no data or structure changed.
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Groups are much less significant now, and they no longer have a database
table, nor are they considered a top level object anymore. Instead of
containing their own role data, that data is folded into the frames so
that it's easier to query; as a result, each group has its own copy of
the frames that it contains. Additionally, parts are considered top
level objects now, and you can query for frames based on attributes of
their indexed parts. Synrestrs are also contained in their own table
now, so that parts can be filtered against their synrestrs; they are
however not considered top level objects.
Created a new type of field, the "join where" or "condition join" field,
which is a normal join field that has a built in condition on a
specified field. This is used to allow creating multiple distinct join
fields from one object to another. This is required for the lemma::form
and frame::part joins, because filters for forms of separate inflections
should not be coalesced; similarly, filters on differently indexed frame
parts should not be coalesced.
Queries can now be ordered, ascending or descending, by a field, in
addition to randomly as before. This is necessary for accessing the
parts of a verb frame in the correct order, but may be useful to an end
user as well.
Fixed a bug with statement generation in that condition groups were not
being surrounded in parentheses, which made mixing OR groups and AND
groups generate inaccurate statements. This has been fixed;
additionally, parentheses are not placed around the top level condition,
and nested condition groups with the same logic type are coalesced, to
make query strings as easy to read as possible.
Also simplified the form::lemma field; it no longer conditions on the
inflection of the form like the lemma::form field does.
Also added a debug flag to statement::getQueryString that makes it
return a query string with all of the bindings filled in, for debug use
only.
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The new object structure was designed to build on the existing WordNet
structure, while also adding in all of the data that we get from other sources.
More information about this can be found on the project wiki.
The generator has already been completely rewritten to generate a
datafile that uses the new structure. In addition, a number of indexes
are created, which does double the size of the datafile, but also allows
for much faster lookups. Finally, the new generator is written modularly
and is a lot more readable than the old one.
The verbly interface to the new object structure has mostly been
completed, but has not been tested fully. There is a completely new
search API which utilizes a lot of operator overloading; documentation
on how to use it should go up at some point.
Token processing and verb frames are currently unimplemented. Source for
these have been left in the repository for now.
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