%
%
%
%



:- module(evidence, [
	store_evidence/1,
        incorporate_evidence/2
    ]).

:- use_module(library(clpbn), [
	{}/1,
	clpbn_flag/3,
	set_clpbn_flag/2
    ]).

:- use_module(library(rbtrees), [
	new/1,
	lookup/3,
	insert/4
    ]).

:- meta_predicate store_evidence(:).

:- dynamic node/4, edge/2, evidence/2.

%
% new evidence storage algorithm. The idea is that instead of 
% redoing all the evidence every time we query the network, we shall
% keep a precompiled version around.
%
% the format is as follows:
%  evidence_store:parent(Key,ParentList,[EvidenceChildren])
%
%
store_evidence(G) :-
	clpbn_flag(solver,Solver, graphs),
	compute_evidence(G, Solver).

compute_evidence(G, PreviousSolver) :-
	catch(call_residue(G, Vars), Ball, evidence_error(Ball,PreviousSolver)), !,
	store_graph(Vars),
	set_clpbn_flag(solver,PreviousSolver).
compute_evidence(_, PreviousSolver) :-
	set_clpbn_flag(solver,PreviousSolver).


evidence_error(Ball,PreviousSolver) :-
	set_clpbn_flag(solver,PreviousSolver),
	throw(Ball).

store_graph([]).
store_graph([_-node(K,Dom,CPT,TVs,Ev)|Vars]) :-
	\+ node(K,_,_,_), !,
	assert(node(K,Dom,CPT,TVs)),
	( nonvar(Ev) -> assert(evidence(K,Ev)) ; true),
	add_links(TVs,K),
	store_graph(Vars).
store_graph([_|Vars]) :-
	store_graph(Vars).

add_links([],_).
add_links([K0|TVs],K) :-
	assert(edge(K,K0)),
	add_links(TVs,K).


incorporate_evidence(Vs,AllVs) :-
	new(Cache0),
	create_open_list(Vs, OL, FL, Cache0, CacheI),
	do_variables(OL, FL, CacheI),
	extract_vars(OL, AllVs).

create_open_list([], L, L, C, C).
create_open_list([V|Vs], [K-V|OL], FL, C0, CF) :-
	clpbn:get_atts(V,[key(K)]),
	add_evidence(K, V),
	insert(C0, K, V, CI),
	create_open_list(Vs, OL, FL, CI, CF).

do_variables([], [], _) :- !.
do_variables([K-V|Vs], Vf, C0) :-
	check_for_evidence(K, V, Vf, Vff, C0, Ci),
	do_variables(Vs, Vff, Ci).

create_new_variable(K, V, Vf0, Vff, C0, Cf) :-
	node(K,Dom, CPT, TVs),
	{ V = K with p(Dom, CPT, NTVs) },
	add_evidence(K, V),
	add_variables(TVs, NTVs, Vf0, Vff, C0, Cf).


add_variables([], [], Vf, Vf, C, C).
add_variables([K|TVs], [V|NTVs], Vf0, Vff, C0, Cf) :-
	lookup(K, V, C0), !,
	add_variables(TVs, NTVs, Vf0, Vff, C0, Cf).
add_variables([K|TVs], [V|NTVs], [K-V|Vf0], Vff, C0, Cf) :-
	insert(C0, K, V, C1),
	create_new_variable(K, V, Vf0, Vf1, C1, C2),
	add_variables(TVs, NTVs, Vf1, Vff, C2, Cf).


extract_vars([], []).
extract_vars([_-V|Cache], [V|AllVs]) :-
	extract_vars(Cache, AllVs).


add_evidence(K, V) :-
	evidence(K, Ev), !,
	clpbn:put_atts(V, [evidence(Ev)]).
add_evidence(_, _).


check_for_evidence(_, V, Vf, Vf, C, C) :-
	clpbn:get_atts(V, [evidence(_)]), !.
check_for_evidence(K, _, Vf0, Vff, C0, Ci) :-
	findall(Rt,edge(Rt,K),Rts),
	add_variables(Rts, _, Vf0, Vff, C0, Ci).