This commit introduces a new feature flag:
GNC_FEATURE_GUID_FLAT_BAYESIAN. It signifies that the bayes import map
data are stored flat and by guid. Any time bayes import map data are
accessed, they are converted if necessary.
Before, it was necessary to remove '/' from tokens so that they won't be
divided up within kvp. Now that kvp doesn't parse tokens, it's okay to
pass '/', and it's better not to translate user-provided tokens if at all
possible.
The conversion assumed there were only three levels to bayes import
map kvp: IMAP token, user-supplied token, GUID/account name. In
actuality, since user-supplied tokens could have the delimiter in them,
there could be several. This fix takes that into account like so:
IMAP token, potentially several user-supplied tokens, GUID/account name.
The import map is undergoing two conversions at the same time: account names
to guids and an hierarchical representation to a flat representation in KVP.
The bayes data are stored in the KVP store. Before this commit, they are
stored under /import-map-bayes/<token>/<account guid>/count (where count
is the datum that "matters" in bayes matching).
The problem with this is that any token including the kvp delimiter
(currently '/') gets divided, and is not found correctly during bayes
kvp searching. The quickest solution to this is to replace all "/"
characters with some other character. That has been done, along with a
re-structuring of the bayes matching code to take advantage of c++
features to make the code more concise and readable.
Also modified some test functions to fix leaks and double-frees: the
same kvp value can't be in the kvp tree twice.
Also, when I added code to clean up after the tests, some things started
breaking due to double-delete. Apparently const_cast was hiding some
programming errors. Really? You don't say? When giving a GUID* to KvpValue,
the latter takes ownership of the former.
Since Account.c is now Account.cpp, the function signatures look a bit
different internally. The tests rely on function signatures in error
messages. Instead of trying to figure out what the exact
function signature might be, I use a substring matching strategy to
ensure that the correct error was issued.
lmat