diff options
Diffstat (limited to 'lib/apps/application.vala')
-rw-r--r-- | lib/apps/application.vala | 118 |
1 files changed, 118 insertions, 0 deletions
diff --git a/lib/apps/application.vala b/lib/apps/application.vala new file mode 100644 index 0000000..5748fc6 --- /dev/null +++ b/lib/apps/application.vala @@ -0,0 +1,118 @@ +namespace AstalApps { +public class Application : Object { + public DesktopAppInfo app { get; construct set; } + public int frequency { get; set; default = 0; } + public string name { get { return app.get_name(); } } + public string entry { get { return app.get_id(); } } + public string description { get { return app.get_description(); } } + public string wm_class { get { return app.get_startup_wm_class(); } } + public string executable { owned get { return app.get_string("Exec"); } } + public string icon_name { owned get { return app.get_string("Icon"); } } + + internal Application(string id, int? frequency = 0) { + Object(app: new DesktopAppInfo(id)); + this.frequency = frequency; + } + + public string get_key(string key) { + return app.get_string(key); + } + + public bool launch() { + try { + var s = app.launch(null, null); + ++frequency; + return s; + } catch (Error err) { + critical(err.message); + return false; + } + } + + public Score fuzzy_match(string term) { + var score = Score(); + if (name != null) + score.name = levenshtein(term, name); + if (entry != null) + score.entry = levenshtein(term, entry); + if (executable != null) + score.executable = levenshtein(term, executable); + if (description != null) + score.description = levenshtein(term, description); + + return score; + } + + 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; + + return score; + } + + internal Json.Node to_json() { + return 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) + .end_object() + .get_root(); + } +} + +int min3(int a, int b, int c) { + return (a < b) ? ((a < c) ? a : c) : ((b < c) ? b : c); +} + +double levenshtein(string s1, string s2) { + int len1 = s1.length; + int len2 = s2.length; + + int[, ] d = new int[len1 + 1, len2 + 1]; + + for (int i = 0; i <= len1; i++) { + d[i, 0] = i; + } + for (int j = 0; j <= len2; j++) { + d[0, j] = j; + } + + for (int i = 1; i <= len1; i++) { + for (int j = 1; j <= len2; j++) { + int cost = (s1[i - 1] == s2[j - 1]) ? 0 : 1; + d[i, j] = min3( + d[i - 1, j] + 1, // deletion + d[i, j - 1] + 1, // insertion + d[i - 1, j - 1] + cost // substitution + ); + } + } + + var distance = d[len1, len2]; + int max_len = len1 > len2 ? len1 : len2; + + if (max_len == 0) { + return 1.0; + } + + return 1.0 - ((double)distance / max_len); +} + +public struct Score { + double name; + double entry; + double executable; + double description; +} +} |