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+/* This Source Code Form is subject to the terms of the Mozilla Public
+ * License, v. 2.0. If a copy of the MPL was not distributed with this
+ * file, You can obtain one at http://mozilla.org/MPL/2.0/. */
+
+// tests return of junk percent from bayesian filter
+
+// main setup
+
+// only needed during debug
+// do_import_script("mailnews/extensions/bayesian-spam-filter/test/resources/trainingfile.js");
+
+var { MailServices } = ChromeUtils.import(
+ "resource:///modules/MailServices.jsm"
+);
+
+// local constants
+var kUnclassified = MailServices.junk.UNCLASSIFIED;
+var kJunk = MailServices.junk.JUNK;
+var kGood = MailServices.junk.GOOD;
+
+/*
+ * This test is not intended to check the spam calculations,
+ * but only that the junk percent is transmitted (particularly
+ * for intermediate values). The test
+ * junkPercent values below were calculated by the plugin,
+ * not indepedently verified.
+ */
+
+var tests = [
+ {
+ fileName: "ham2.eml",
+ junkPercent: 8,
+ },
+ {
+ fileName: "spam2.eml",
+ junkPercent: 81,
+ },
+];
+
+var emails = [
+ {
+ fileName: "ham1.eml",
+ classification: kGood,
+ },
+ {
+ fileName: "spam1.eml",
+ classification: kJunk,
+ },
+];
+
+// main test
+function run_test() {
+ localAccountUtils.loadLocalMailAccount();
+ do_test_pending();
+ doTestingListener.onMessageClassified(null, null, null);
+ return true;
+}
+
+var haveClassification = false;
+var doTestingListener = {
+ onMessageClassified(aMsgURI, aClassification, aJunkPercent) {
+ // Do we have more training emails? If so, train
+ var email = emails.shift();
+ if (email) {
+ MailServices.junk.setMessageClassification(
+ getSpec(email.fileName),
+ kUnclassified,
+ email.classification,
+ null,
+ doTestingListener
+ );
+ return;
+ }
+
+ if (!aMsgURI) {
+ // Ignore end of batch.
+ return;
+ }
+
+ // Have we completed a classification? If so, test
+ if (haveClassification) {
+ let test = tests.shift();
+ Assert.equal(getSpec(test.fileName), aMsgURI);
+ Assert.equal(test.junkPercent, aJunkPercent);
+ }
+
+ // Do we have more classifications to do? Then classify the first one.
+ if (tests.length) {
+ haveClassification = true;
+ MailServices.junk.classifyMessage(
+ getSpec(tests[0].fileName),
+ null,
+ doTestingListener
+ );
+ } else {
+ do_test_finished();
+ }
+ },
+};
+
+// helper functions
+
+function getSpec(aFileName) {
+ var file = do_get_file(
+ "../../../extensions/bayesian-spam-filter/test/unit/resources/" + aFileName
+ );
+ var uri = Services.io.newFileURI(file).QueryInterface(Ci.nsIURL);
+ uri = uri.mutate().setQuery("type=application/x-message-display").finalize();
+ return uri.spec;
+}