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public class AstalApps.Application : Object {
/**
* The underlying DesktopAppInfo.
*/
public DesktopAppInfo app { get; construct set; }
/**
* The number of times [[email protected]] was called on this Application.
*/
public int frequency { get; set; default = 0; }
/**
* The name of this Application.
*/
public string name { get { return app.get_name(); } }
/**
* Name of the .desktop of this Application.
*/
public string entry { get { return app.get_id(); } }
/**
* Description of this Application.
*/
public string description { get { return app.get_description(); } }
/**
* The StartupWMClass field from the desktop file.
* This represents the WM_CLASS property of the main window of the application.
*/
public string wm_class { get { return app.get_startup_wm_class(); } }
/**
* `Exec` field from the desktop file.
* Note that if you want to launch this Application you should use the [[email protected]] method.
*/
public string executable { owned get { return app.get_string("Exec"); } }
/**
* `Icon` field from the desktop file.
* This is usually a named icon or a path to a file.
*/
public string icon_name { owned get { return app.get_string("Icon"); } }
/**
* `Keywords` field from the desktop file.
*/
public string[] keywords { owned get { return app.get_keywords(); } }
internal Application(string id, int? frequency = 0) {
Object(app: new DesktopAppInfo(id));
this.frequency = frequency;
}
/**
* Get a value from the .desktop file by its key.
*/
public string get_key(string key) {
return app.get_string(key);
}
/**
* Launches this application.
* The launched application inherits the environment of the launching process
*/
public bool launch() {
try {
var s = app.launch(null, null);
++frequency;
return s;
} catch (Error err) {
critical(err.message);
return false;
}
}
/**
* Calculate a score for an application using fuzzy matching algorithm.
*/
public Score fuzzy_match(string term) {
var score = Score();
if (name != null)
score.name = fuzzy_match_string(term, name);
if (entry != null)
score.entry = fuzzy_match_string(term, entry);
if (executable != null)
score.executable = fuzzy_match_string(term, executable);
if (description != null)
score.description = fuzzy_match_string(term, description);
foreach (var keyword in keywords) {
var s = fuzzy_match_string(term, keyword);
if (s > score.keywords) {
score.keywords = s;
}
}
return score;
}
/**
* Calculate a score using exact string algorithm.
*/
public Score exact_match(string term) {
var score = Score();
if (name != null)
score.name = name.down().contains(term.down()) ? 1 : 0;
if (entry != null)
score.entry = entry.down().contains(term.down()) ? 1 : 0;
if (executable != null)
score.executable = executable.down().contains(term.down()) ? 1 : 0;
if (description != null)
score.description = description.down().contains(term.down()) ? 1 : 0;
foreach (var keyword in keywords) {
if (score.keywords == 0) {
score.keywords = keyword.down().contains(term.down()) ? 1 : 0;
}
}
return score;
}
internal Json.Node to_json() {
var builder = new Json.Builder()
.begin_object()
.set_member_name("name").add_string_value(name)
.set_member_name("entry").add_string_value(entry)
.set_member_name("executable").add_string_value(executable)
.set_member_name("description").add_string_value(description)
.set_member_name("icon_name").add_string_value(icon_name)
.set_member_name("frequency").add_int_value(frequency)
.set_member_name("keywords")
.begin_array();
foreach (string keyword in keywords) {
builder.add_string_value(keyword);
}
return builder
.end_array()
.end_object()
.get_root();
}
}
public struct AstalApps.Score {
int name;
int entry;
int executable;
int description;
int keywords;
}
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