mirror of https://github.com/M66B/FairEmail.git
Added classifier log type
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@ -59,7 +59,7 @@ public class EntityLog {
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@NonNull
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public String data;
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enum Type {General, Statistics, Scheduling, Network, Account, Protocol}
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enum Type {General, Statistics, Scheduling, Network, Account, Protocol, Classification}
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private static final ExecutorService executor =
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Helper.getBackgroundExecutor(1, "log");
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@ -90,14 +90,15 @@ public class MessageClassifier {
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String classified = classify(folder.account, folder.name, texts, target == null, context);
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long elapsed = new Date().getTime() - start;
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EntityLog.log(context, "Classifier" +
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" folder=" + folder.name +
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" message=" + message.id +
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"@" + new Date(message.received) +
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":" + message.subject +
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" class=" + classified +
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" re=" + message.auto_classified +
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" elapsed=" + elapsed);
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EntityLog.log(context, EntityLog.Type.Classification,
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"Classifier" +
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" folder=" + folder.name +
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" message=" + message.id +
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"@" + new Date(message.received) +
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":" + message.subject +
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" class=" + classified +
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" re=" + message.auto_classified +
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" elapsed=" + elapsed);
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// Auto classify message
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if (classified != null &&
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@ -182,7 +183,8 @@ public class MessageClassifier {
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for (String clazz : new ArrayList<>(classMessages.get(account).keySet())) {
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EntityFolder folder = db.folder().getFolderByName(account, clazz);
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if (folder == null) {
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EntityLog.log(context, "Classifier deleting folder class=" + account + ":" + clazz);
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EntityLog.log(context, EntityLog.Type.Classification,
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"Classifier deleting folder class=" + account + ":" + clazz);
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classMessages.get(account).remove(clazz);
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for (String word : wordClassFrequency.get(account).keySet())
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wordClassFrequency.get(account).get(word).remove(clazz);
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@ -250,10 +252,11 @@ public class MessageClassifier {
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double chance = stat.totalFrequency / maxMessages / words;
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Chance c = new Chance(clazz, chance);
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chances.add(c);
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EntityLog.log(context, "Classifier " + c +
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" frequency=" + (Math.round(stat.totalFrequency * 100.0) / 100.0) + "/" + maxMessages + " msgs" +
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" matched=" + stat.matchedWords + "/" + words + " words" +
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" text=" + TextUtils.join(", ", stat.words));
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EntityLog.log(context, EntityLog.Type.Classification,
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"Classifier " + c +
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" frequency=" + (Math.round(stat.totalFrequency * 100.0) / 100.0) + "/" + maxMessages + " msgs" +
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" matched=" + stat.matchedWords + "/" + words + " words" +
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" text=" + TextUtils.join(", ", stat.words));
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}
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if (BuildConfig.DEBUG)
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