--{{0}}--
This document defines some basic macros for applying the JavaScript Tau-Prolog interpreter in LiaScript to make Prolog programs in Markdown executeable and editable.
Try it on LiaScript:
See the project on Github:
https://github.com/liaTemplates/tau-prolog
--{{1}}--
There are three ways to use this template. The easiest way is to use the
import statement and the url of the raw text-file of the master branch or any
other branch or version. But you can also copy the required functionionality
directly into the header of your Markdown document, see therefor the
last slide. And of course, you could also clone this project and change
it, as you wish.
{{1}}
-
Load the macros via
import: https://raw.githubusercontent.com/liaTemplates/tau-prolog/master/README.md -
Copy the definitions into your Project
-
Clone this repository on GitHub
--{{0}}--
To use the Tau-Prolog interpreter, two macros are
necessary. The first one is @Tau.program, which is called with a unique
identifier. It defines the basic Prolog-program with all rules and definitions.
red(rose).
yellow(tulip).
white(carnation).
blue(myosotis).
blue(viola).@Tau.program(bouquet.pro)
--{{1}}--
@Tau.query, as the name suggests, allows it to query your program, therefor it
has to be called with the unique identifier, that was used to refere to the
program.
{{1}}
red(rose).@Tau.query(bouquet.pro)
--{{2}}--
This way it is possible to define multiple separated queries, at different
places, which make use of the same Prolog-program, as in this case
bouquet.pro.
{{2}}
blue(Flower).@Tau.query(bouquet.pro)
--{{0}}--
Tau-Prolog includes several library modules that extend its functionality. You
can load modules using the use_module/1 directive. The library(lists) provides
common list manipulation predicates.
--{{1}}--
You can also use library(lists) for common list operations like append/3,
member/2, reverse/2, and length/2.
{{1}}
:- use_module(library(lists)).
combine_lists(L1, L2, Result) :-
append(L1, L2, Result).
list_length(List, N) :-
length(List, N).@Tau.program(lists_demo.pro)
--{{2}}--
Now you can query the list operations. The append/3 predicate concatenates
two lists, and length/2 determines the length of a list.
{{2}}
combine_lists([1,2,3], [4,5,6], Result).@Tau.query(lists_demo.pro)
--{{3}}--
You can also check if an element is a member of a list using the member/2
predicate from the lists module.
{{3}}
member(X, [apple, banana, cherry]).@Tau.query(lists_demo.pro)
--{{0}}--
Sometimes you want to add additional rules or facts to an existing Prolog
database without creating a new session. The @Tau.program_append macro allows
you to append code to an already loaded program. This is useful for incrementally
building up a knowledge base or adding new rules based on previous definitions.
% Basic animal facts
animal(cat).
animal(dog).
animal(bird).
% Initial classification
mammal(cat).
mammal(dog).@Tau.program(animals.pro)
--{{1}}--
After loading the initial program, you can query it to see the basic facts.
{{1}}
animal(X).@Tau.query(animals.pro)
--{{2}}--
Now we can append additional rules to the same session using @Tau.program_append.
This adds new facts and rules without replacing the existing database.
{{2}}
% Add more animals
animal(fish).
animal(snake).
% Add more classifications
can_fly(bird).
can_swim(fish).
% Add a rule based on existing facts
pet(X) :- mammal(X).@Tau.program_append(animals.pro)
--{{3}}--
The appended code is now part of the session. You can query both old and new predicates together.
{{3}}
pet(X).@Tau.query(animals.pro)
--{{4}}--
You can also query the newly added predicates.
{{4}}
can_fly(X).@Tau.query(animals.pro)
--{{0}}--
If you want to use the previous macros in combination, by creating the program
module and query module with one call, you can use the following notation. The
@Tau macro in the header is used to define a block-macro, whereby the
identifier and an initial value for the query are defined within. The code-block
defines the third parameter, which is used to define the program.
```prolog @Tau(holiday.pro,`% goes_to(Who, france).`)
goes_to(axel,england).
goes_to(beate,greece).
goes_to(beate,turkey).
goes_to(clemens,france).
goes_to(dagmar,italy).
goes_to(elmar,france).
goes_to(frederike,france).
``` --{{1}}--
Thus, on LiaScript you should see two executable code-blocks and on Github you should at least see a code-block with prolog syntax higlighting.
{{1}}
```prolog @Tau(holiday.pro,% goes_to(Who, france).)
goes_to(axel,england).
goes_to(beate,greece).
goes_to(beate,turkey).
goes_to(clemens,france).
goes_to(dagmar,italy).
goes_to(elmar,france).
goes_to(frederike,france).
## `@Tau.check`
--{{0}}--
You can use `@Tau.check` to check the input of a text quiz input for example.
```prolog genealogy.pro
male(adam).
male(alfred).
male(anton).
male(arthur).
male(baldur).
male(bernd).
male(boris).
female(adele).
female(alwine).
female(anna).
female(ariadne).
female(barbara).
female(berta).
/* parent(X,Y) means: Y is a parent of X */
parent(baldur,adam).
parent(baldur,adele).
parent(barbara,alfred).
parent(barbara,alwine).
parent(bernd,anton).
parent(bernd,anna).
parent(berta,arthur).
parent(berta,ariadne).
parent(boris,arthur).
parent(boris,ariadne).
@Tau.program(genealogy.pro)
Type in the Prolog-query for identifying the parents of barbara.
[[parent(barbara, X).]]
@Tau.check(genealogy.pro,setof(X, @'input, [alfred, alwine]))
--{{0}}--
The code shows how the macros were implemented by using a minified version of the Tau-Prolog JavaScript interpreter. If you want to host your own version of this library, you will have to change the url. Since rawgit is going to stop its service, I recommend jsDelivr.
@Tau.program
<script>
var db = `@'input`;
window['@0'] = {
session: window.pl.create(),
query: null,
rslt: "",
query_str: "",
db: db
};
var result = null;
window['@0']['session'].consult(db, {
success: function() {
result = "database '@0' loaded";
},
error: function(err) {
var c_err = window.pl.flatten_error(err);
var error = new LiaError("parsing program '@0' => " + err.args[0], 1);
error.add_detail(0, c_err.type + " => " + c_err.found + "; expected => " + c_err.expected, "error", c_err.line - 1, c_err.column);
throw error;
}
});
result;
</script>
@end
@Tau.program_append
<script>
var additional_db = `@'input`;
try {
var session = window['@0']['session'];
if (!session) {
throw {message: "'@0' has not been initialized. Use @Tau.program first."};
}
}
catch(e) {
throw {message: "'@0' has not been consulted. Use @Tau.program first."};
}
var result = null;
session.consult(additional_db, {
success: function() {
// Append to stored database for @Tau.check compatibility
window['@0']['db'] += "\n" + additional_db;
result = "additional rules appended to '@0'";
},
error: function(err) {
var c_err = window.pl.flatten_error(err);
var error = new LiaError("parsing additional program for '@0' => " + err.args[0], 1);
error.add_detail(0, c_err.type + " => " + c_err.found + "; expected => " + c_err.expected, "error", c_err.line - 1, c_err.column);
throw error;
}
});
result;
</script>
@end
@Tau.query
<script>
var query = `@'input`;
try {
// Create a new output buffer for this query execution
var output_buffer = "";
var custom_output = {
put: function(text, stream) {
output_buffer += text;
return true;
},
flush: function() { return true; }
};
// Override the session's user_output stream
window['@0']['session'].streams['user_output'].stream = custom_output;
if(window['@0']['query'] == null || window['@0']['query_str'] != query) {
window['@0']['query_str'] = query;
window['@0']['query'] = null;
window['@0']['rslt'] = ""; // Reset results for new query
window['@0']['session'].query(query, {
success: function(goal) {
window['@0']['query'] = goal;
// Get answer immediately after successful query
window['@0']['session'].answer({
success: function(answer) {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
window['@0']['rslt'] += window.pl.format_answer(answer) + ".\n";
send.lia(window['@0']['rslt'].trim());
},
fail: function() {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
window['@0']['rslt'] += "false.\n";
send.lia(window['@0']['rslt'].trim());
},
error: function(err) {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
var c_err = window.pl.flatten_error(err);
window['@0']['rslt'] += "Error: " + c_err.type + "\n";
send.lia(window['@0']['rslt'].trim());
},
limit: function() {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
window['@0']['rslt'] += "Limit exceeded.\n";
send.lia(window['@0']['rslt'].trim());
}
});
},
error: function(err) {
var c_err = window.pl.flatten_error(err);
var error = new LiaError("parsing query for '@0' => " + err.args[0], 1);
error.add_detail(0, c_err.type + " => " + c_err.found + "; expected => " + c_err.expected, "error", c_err.line - 1, c_err.column);
throw error;
}
});
} else {
// Query already executed, get next answer
window['@0']['session'].answer({
success: function(answer) {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
window['@0']['rslt'] += window.pl.format_answer(answer) + ".\n";
send.lia(window['@0']['rslt'].trim());
},
fail: function() {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
window['@0']['rslt'] += "false.\n";
send.lia(window['@0']['rslt'].trim());
},
error: function(err) {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
var c_err = window.pl.flatten_error(err);
window['@0']['rslt'] += "Error: " + c_err.type + "\n";
send.lia(window['@0']['rslt'].trim());
},
limit: function() {
if(output_buffer) window['@0']['rslt'] += output_buffer + "\n";
window['@0']['rslt'] += "Limit exceeded.\n";
send.lia(window['@0']['rslt'].trim());
}
});
}
}
catch(e) {
throw {message: "'@0' has not been consulted"};
}
"LIA: wait";
</script>
@end
@Tau.check
<script>
var db = null;
try {
db = window['@0']['db'];
}
catch(e) {
throw {message: "'@0' has not been consulted"};
}
var session = window.pl.create();
session.consult(db, {
success: function() {
session.query(`@1`.replace(/[.]/g, "") + ".", {
success: function(goal) {
session.answer({
success: function(answer) {
var rslt = window.pl.format_answer(answer);
send.lia(rslt);
},
fail: function() {
send.lia("false");
},
error: function(err) {
send.lia(err.message);
},
limit: function() {
send.lia("false");
}
});
},
error: function(err) {
throw {message: "parsing query for '@0' => " + err.args[0]};
}
});
},
error: function(err) {
throw {message: "parsing program '@0' => " + err.args[0]};
}
});
"LIA: wait";
</script>
@end
@Tau
```prolog @0
@2
```
@Tau.program(@0)
```prolog Query:
@1
```
@Tau.query(@0)
@end --{{1}}--
If you want to minimize loading effort in your LiaScript project, you can also copy this code and paste it into your main comment header, see the code in the raw file of this document.
{{1}} https://raw.githubusercontent.com/liaTemplates/tau-prolog/master/README.md